1
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Saleem S, Habib SH. Neurofeedback Recuperates Cognitive Functions in Children with Autism Spectrum Disorders (ASD). J Autism Dev Disord 2024; 54:2891-2901. [PMID: 37314667 DOI: 10.1007/s10803-023-06037-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2023] [Indexed: 06/15/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interaction, verbal and nonverbal communication, and behaviors or interests. Besides behavioral, psychopharmacological and biomedical interventions there is increasing evidence of non-invasive treatments like neurofeedback (NFB) that can improve brain activity. In this study, we have investigated whether NFB can improve cognitive functions in children with ASD. Thirty-five children with ASD (7-17 years) were selected by purposive sampling. The subjects underwent 30 sessions of NFB training for 20 min over 10 weeks' period. Psychometric tests i.e. Childhood Autism Rating Scale (CARS), IQ scoring and Reward sensitivity tests were administered at baseline. Pre and post NFB intervention assessment of executive functions, working memory and processing speed were done by NIH Toolbox Cognition Batteries. Friedman test revealed that children showed a statistically significant improvement in the NIH Tool Box cognitive assessments, including the Flankers Inhibitory Control and Attention Test (Pre-test = 3.63, Post-test = 5.22; p = 0.00), the Dimensional Change Card Sorting Test (Pre-test = 2.88, Post-test = 3.26; p = 0.00), the Pattern Comparison Processing Speed Test (Pre-test = 6.00, Post-test = 11:00; p = 0.00) and the List Sorting Working Memory Test (Pre-test = 4.00, Post-test = 6:00; p = 0.00), and displayed a trend of improvement at 2-month follow-up (Flankers Inhibitory Control and Attention Test (Post-test = 5.11 ± 2.79, Follow-Up = 5.31 ± 2.67; p = 0.21), the Dimensional Change Card Sorting Test (Post-test = 3.32 ± 2.37, Follow-Up = 3.67 ± 2.35; p = 0.054), the Pattern Comparison Processing Speed Test (Post-test = 13.69 ± 9.53, Follow-Up = 14.42 ± 10.23 p = 0.079) and the List Sorting Working Memory Test (Post-test = 6.17 ± 4.41, Follow-Up = 5.94 ± 4.03; p = 0.334). Our findings suggest NFB intervention for 10 weeks produce improvement in executive functions (Inhibitory Control and Attention and Cognitive Flexibility), Processing Speed and Working Memory in ASD Children.
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Affiliation(s)
- Shemaila Saleem
- Department of Physiology, Federal Medical College (FMC), Shaheed Zulfiqar Ali Bhutto Medical University (SZABMU), Islamabad, Pakistan
- Department of Physiology, Institute of Basic Medical Sciences (IBMS), Khyber Medical University (KMU), Peshawar, Pakistan
| | - Syed Hamid Habib
- Department of Physiology, Institute of Basic Medical Sciences (IBMS), Khyber Medical University (KMU), Peshawar, Pakistan.
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2
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Li M, Izumoto M, Wang Y, Kato Y, Iwatani Y, Hirata I, Mizuno Y, Tachibana M, Mohri I, Kagitani-Shimono K. Altered white matter connectivity of ventral language networks in autism spectrum disorder: An automated fiber quantification analysis with multi-site datasets. Neuroimage 2024; 297:120731. [PMID: 39002786 DOI: 10.1016/j.neuroimage.2024.120731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/28/2024] [Accepted: 07/11/2024] [Indexed: 07/15/2024] Open
Abstract
Comprehension and pragmatic deficits are prevalent in autism spectrum disorder (ASD) and are potentially linked to altered connectivity in the ventral language networks. However, previous magnetic resonance imaging studies have not sufficiently explored the microstructural abnormalities in the ventral fiber tracts underlying comprehension dysfunction in ASD. Additionally, the precise locations of white matter (WM) changes in the long tracts of patients with ASD remain poorly understood. In the current study, we applied the automated fiber-tract quantification (AFQ) method to investigate the fine-grained WM properties of the ventral language pathway and their relationships with comprehension and symptom manifestation in ASD. The analysis included diffusion/T1 weighted imaging data of 83 individuals with ASD and 83 age-matched typically developing (TD) controls. Case-control comparisons were performed on the diffusion metrics of the ventral tracts at both the global and point-wise levels. We also explored correlations between diffusion metrics, comprehension performance, and ASD traits, and conducted subgroup analyses based on age range to examine developmental moderating effects. Individuals with ASD exhibited remarkable hypoconnectivity in the ventral tracts, particularly in the temporal portions of the left inferior longitudinal fasciculus (ILF) and the inferior fronto-occipital fasciculus (IFOF). These WM abnormalities were associated with poor comprehension and more severe ASD symptoms. Furthermore, WM alterations in the ventral tract and their correlation with comprehension dysfunction were more prominent in younger children with ASD than in adolescents. These findings indicate that WM disruptions in the temporal portions of the left ILF/IFOF are most notable in ASD, potentially constituting the core neurological underpinnings of comprehension and communication deficits in autism. Moreover, impaired WM connectivity and comprehension ability in patients with ASD appear to improve with age.
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Affiliation(s)
- Min Li
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Maya Izumoto
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Yide Wang
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Yoko Kato
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Yoshiko Iwatani
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Ikuko Hirata
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Yoshifumi Mizuno
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
| | - Masaya Tachibana
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Ikuko Mohri
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan
| | - Kuriko Kagitani-Shimono
- Osaka University, Department of Child Development, United Graduate School of Child Development, Suita, Osaka, Japan.
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3
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Ferrer I, Sanyal C, Moutin MJ, Lorenzo DN. Putting the brakes on axonal branching. Trends Neurosci 2024; 47:475-477. [PMID: 38760194 PMCID: PMC11236494 DOI: 10.1016/j.tins.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 05/01/2024] [Indexed: 05/19/2024]
Abstract
In a recent study, Ziak et al. employed precise sparse labeling and spatiotemporally controlled genetic manipulations to uncover novel regulators of axon branching of layer 2/3 mouse callosal projection neurons. The authors elucidated a cell-autonomous signaling pathway wherein glycogen synthase kinase 3β (GSK3β) phosphorylation of microtubule-associated protein 1B (MAP1B) restricts interstitial axon branching by modulating microtubule (MT) tyrosination status.
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Affiliation(s)
- Ismael Ferrer
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Chadni Sanyal
- Grenoble Institut Neurosciences, University of Grenoble Alpes, Inserm U1216, Centre National de la Recherche Scientifique, Grenoble, France
| | - Marie-Jo Moutin
- Grenoble Institut Neurosciences, University of Grenoble Alpes, Inserm U1216, Centre National de la Recherche Scientifique, Grenoble, France
| | - Damaris N Lorenzo
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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4
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Luppi AI, Gellersen HM, Liu ZQ, Peattie ARD, Manktelow AE, Adapa R, Owen AM, Naci L, Menon DK, Dimitriadis SI, Stamatakis EA. Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics. Nat Commun 2024; 15:4745. [PMID: 38834553 PMCID: PMC11150439 DOI: 10.1038/s41467-024-48781-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 05/10/2024] [Indexed: 06/06/2024] Open
Abstract
Functional interactions between brain regions can be viewed as a network, enabling neuroscientists to investigate brain function through network science. Here, we systematically evaluate 768 data-processing pipelines for network reconstruction from resting-state functional MRI, evaluating the effect of brain parcellation, connectivity definition, and global signal regression. Our criteria seek pipelines that minimise motion confounds and spurious test-retest discrepancies of network topology, while being sensitive to both inter-subject differences and experimental effects of interest. We reveal vast and systematic variability across pipelines' suitability for functional connectomics. Inappropriate choice of data-processing pipeline can produce results that are not only misleading, but systematically so, with the majority of pipelines failing at least one criterion. However, a set of optimal pipelines consistently satisfy all criteria across different datasets, spanning minutes, weeks, and months. We provide a full breakdown of each pipeline's performance across criteria and datasets, to inform future best practices in functional connectomics.
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Affiliation(s)
- Andrea I Luppi
- Division of Anaesthesia, University of Cambridge, Cambridge, UK.
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
- St John's College, University of Cambridge, Cambridge, UK.
- Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Helena M Gellersen
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Zhen-Qi Liu
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Alexander R D Peattie
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anne E Manktelow
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Ram Adapa
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Adrian M Owen
- Department of Psychology, Western Institute for Neuroscience (WIN), Western University, London, ON, Canada
- Department of Physiology and Pharmacology, Western Institute for Neuroscience (WIN), Western University, London, ON, Canada
| | - Lorina Naci
- Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | - Stavros I Dimitriadis
- Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
- Institut de Neurociències, University of Barcelona, Barcelona, Spain
- Neuroinformatics Group, Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, College of Biomedical and Life Sciences, Cardiff, Wales, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, UK
- Neuroscience and Mental Health Research Institute, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, UK
- Integrative Neuroimaging Lab, Thessaloniki, Greece
| | - Emmanuel A Stamatakis
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Whelan TP, Daly E, Puts NA, Malievskaia E, Murphy DGM, McAlonan GM. Editorial Perspective: Bridging the translational neuroscience gap in autism - development of the 'shiftability' paradigm. J Child Psychol Psychiatry 2024; 65:862-865. [PMID: 38130022 DOI: 10.1111/jcpp.13940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 12/23/2023]
Abstract
Clinical trials of pharmacological candidates targeting the core features of autism have largely failed. This is despite evidence linking differences in multiple neurochemical systems to brain function in autism. While this has in part been explained by the heterogeneity of the autistic population, the field has largely relied upon association studies to link brain chemistry to function. The only way to directly establish that a neurotransmitter or neuromodulator is involved in a candidate brain function is to change it and observe a shift in that function. This experimental approach dominates preclinical neuroscience, but not human studies. There is little direct experimental evidence describing how neurochemical systems modulate information processing in the living human brain. Thus, our understanding of how neurochemical differences contribute to neurodiversity is limited, impeding our ability to translate findings from animal studies into humans. Here, we introduce our 'shiftability' paradigm, an approach to bridge the translational gap in autism research. We provide an overview of the guiding principles and methodologies we use to directly test the hypothesis that neurochemical systems function differently in autistic and non-autistic individuals.
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Affiliation(s)
- Tobias P Whelan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- COMPASS Pathfinder Ltd, London, UK
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nicolaas A Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR-Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Grainne M McAlonan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR-Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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6
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Xu Y, Yu Z, Li Y, Liu Y, Li Y, Wang Y. Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 250:108196. [PMID: 38678958 DOI: 10.1016/j.cmpb.2024.108196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 01/30/2024] [Accepted: 04/21/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND AND OBJECTIVE People with autism spectrum disorder (ASD) often have cognitive impairments. Effective connectivity between different areas of the brain is essential for normal cognition. Electroencephalography (EEG) has been widely used in the detection of neurological diseases. Previous studies on detecting ASD with EEG data have focused on frequency-related features. Most of these studies have augmented data by splitting the dataset into time slices or sliding windows. However, such approaches to data augmentation may cause the testing data to be contaminated by the training data. To solve this problem, this study developed a novel method for detecting ASD with EEG data. METHODS This study quantified the functional connectivity of the subject's brain from EEG signals and defined the individual to be the unit of analysis. Publicly available EEG data were gathered from 97 and 92 subjects with ASD and typical development (TD), respectively, while they were at rest or performing a task. Time-series maps of brain functional connectivity were constructed, and the data were augmented using a deep convolutional generative adversarial network. In addition, a combined network for ASD detection, based on convolutional neural network (CNN) and long short-term memory (LSTM), was designed and implemented. RESULTS Based on functional connectivity, the network achieved classification accuracies of 81.08% and 74.55% on resting state and task state data, respectively. In addition, we found that the functional connectivity of ASD differed from TD primarily in the short-distance functional connectivity of the parietal and occipital lobes and in the distant connections from the right temporoparietal junction region to the left posterior temporal lobe. CONCLUSIONS This paper provides a new perspective for better utilizing EEG to understand ASD. The method proposed in our study is expected to be a reliable tool to assist in the diagnosis of ASD.
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Affiliation(s)
- Yongjie Xu
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zengjie Yu
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yisheng Li
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuehan Liu
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ye Li
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yishan Wang
- Research Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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7
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Qian S, Yang Q, Cai C, Dong J, Cai S. Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study. Brain Sci 2024; 14:507. [PMID: 38790485 PMCID: PMC11118919 DOI: 10.3390/brainsci14050507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain's intrinsic connectivity and capture dynamic changes in the brain. In this study, the hidden Markov model (HMM) and dynamic graph (DG) theory are used to study the spatial-temporal characteristics and dynamics of brain networks based on dynamic functional connectivity (DFC). By using HMM, we identified three typical brain states for ASD and healthy control (HC). Furthermore, we explored the correlation between HMM time-varying properties and clinical autism scale scores. Differences in brain topological characteristics and dynamics between ASD and HC were compared by DG analysis. The experimental results indicate that ASD is more inclined to enter a strongly connected HMM brain state, leading to the isolation of brain networks and alterations in the topological characteristics of brain networks, such as default mode network (DMN), ventral attention network (VAN), and visual network (VN). This work suggests that using different data-driven methods based on DFC to study brain network dynamics would have better information complementarity, which can provide a new direction for the extraction of neuro-biomarkers in the early diagnosis of ASD.
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Affiliation(s)
| | | | | | | | - Shuhui Cai
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen 361005, China; (S.Q.); (Q.Y.); (C.C.); (J.D.)
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8
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Xie X, Zhou R, Fang Z, Zhang Y, Wang Q, Liu X. Seeing beyond words: Visualizing autism spectrum disorder biomarker insights. Heliyon 2024; 10:e30420. [PMID: 38694128 PMCID: PMC11061761 DOI: 10.1016/j.heliyon.2024.e30420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/04/2024] Open
Abstract
Objective This study employs bibliometric and visual analysis to elucidate global research trends in Autism Spectrum Disorder (ASD) biomarkers, identify critical research focal points, and discuss the potential integration of diverse biomarker modalities for precise ASD assessment. Methods A comprehensive bibliometric analysis was conducted using data from the Web of Science Core Collection database until December 31, 2022. Visualization tools, including R, VOSviewer, CiteSpace, and gCLUTO, were utilized to examine collaborative networks, co-citation patterns, and keyword associations among countries, institutions, authors, journals, documents, and keywords. Results ASD biomarker research emerged in 2004, accumulating a corpus of 4348 documents by December 31, 2022. The United States, with 1574 publications and an H-index of 213, emerged as the most prolific and influential country. The University of California, Davis, contributed significantly with 346 publications and an H-index of 69, making it the leading institution. Concerning journals, the Journal of Autism and Developmental Disorders, Autism Research, and PLOS ONE were the top three publishers of ASD biomarker-related articles among a total of 1140 academic journals. Co-citation and keyword analyses revealed research hotspots in genetics, imaging, oxidative stress, neuroinflammation, gut microbiota, and eye tracking. Emerging topics included "DNA methylation," "eye tracking," "metabolomics," and "resting-state fMRI." Conclusion The field of ASD biomarker research is dynamically evolving. Future endeavors should prioritize individual stratification, methodological standardization, the harmonious integration of biomarker modalities, and longitudinal studies to advance the precision of ASD diagnosis and treatment.
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Affiliation(s)
- Xinyue Xie
- The First Affiliated Hospital of Henan University of Chinese Medicine, Pediatrics Hospital, Zhengzhou, Henan, 450000, China
- Henan University of Chinese Medicine, School of Pediatrics, Zhengzhou, Henan, 450046, China
| | - Rongyi Zhou
- The First Affiliated Hospital of Henan University of Chinese Medicine, Pediatrics Hospital, Zhengzhou, Henan, 450000, China
- Henan University of Chinese Medicine, School of Pediatrics, Zhengzhou, Henan, 450046, China
| | - Zihan Fang
- Henan University of Chinese Medicine, School of Pediatrics, Zhengzhou, Henan, 450046, China
| | - Yongting Zhang
- The First Affiliated Hospital of Henan University of Chinese Medicine, Pediatrics Hospital, Zhengzhou, Henan, 450000, China
- Henan University of Chinese Medicine, School of Pediatrics, Zhengzhou, Henan, 450046, China
| | - Qirong Wang
- Henan University of Chinese Medicine, School of Pediatrics, Zhengzhou, Henan, 450046, China
| | - Xiaomian Liu
- Henan University of Chinese Medicine, School of Medicine, Zhengzhou, Henan, 450046, China
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9
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Whelan TP, Daly E, Puts NA, Smith P, Allison C, Baron-Cohen S, Malievskaia E, Murphy DGM, McAlonan GM. The 'PSILAUT' protocol: an experimental medicine study of autistic differences in the function of brain serotonin targets of psilocybin. BMC Psychiatry 2024; 24:319. [PMID: 38658877 PMCID: PMC11044362 DOI: 10.1186/s12888-024-05768-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND The underlying neurobiology of the complex autism phenotype remains obscure, although accumulating evidence implicates the serotonin system and especially the 5HT2A receptor. However, previous research has largely relied upon association or correlation studies to link differences in serotonin targets to autism. To directly establish that serotonergic signalling is involved in a candidate brain function our approach is to change it and observe a shift in that function. We will use psilocybin as a pharmacological probe of the serotonin system in vivo. We will directly test the hypothesis that serotonergic targets of psilocybin - principally, but not exclusively, 5HT2A receptor pathways-function differently in autistic and non-autistic adults. METHODS The 'PSILAUT' "shiftability" study is a case-control study autistic and non-autistic adults. How neural responses 'shift' in response to low doses (2 mg and 5 mg) of psilocybin compared to placebo will be examined using multimodal techniques including functional MRI and EEG. Each participant will attend on up to three separate visits with drug or placebo administration in a double-blind and randomized order. RESULTS This study will provide the first direct evidence that the serotonin targets of psilocybin function differently in the autistic and non-autistic brain. We will also examine individual differences in serotonin system function. CONCLUSIONS This work will inform our understanding of the neurobiology of autism as well as decisions about future clinical trials of psilocybin and/or related compounds including stratification approaches. TRIAL REGISTRATION NCT05651126.
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Affiliation(s)
- Tobias P Whelan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- COMPASS Pathfinder Ltd, London, UK
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nicolaas A Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Paula Smith
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Carrie Allison
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, UK
- NIHR-Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Grainne M McAlonan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, UK.
- NIHR-Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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10
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Leyhausen J, Schäfer T, Gurr C, Berg LM, Seelemeyer H, Pretzsch CM, Loth E, Oakley B, Buitelaar JK, Beckmann CF, Floris DL, Charman T, Bourgeron T, Banaschewski T, Jones EJH, Tillmann J, Chatham C, Murphy DG, Ecker C. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder. Biol Psychiatry 2024; 95:175-186. [PMID: 37348802 DOI: 10.1016/j.biopsych.2023.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/02/2023] [Accepted: 06/10/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Autism is a heterogeneous neurodevelopmental condition accompanied by differences in brain connectivity. Structural connectivity in autism has mainly been investigated within the white matter. However, many genetic variants associated with autism highlight genes related to synaptogenesis and axonal guidance, thus also implicating differences in intrinsic (i.e., gray matter) connections in autism. Intrinsic connections may be assessed in vivo via so-called intrinsic global and local wiring costs. METHODS Here, we examined intrinsic global and local wiring costs in the brain of 359 individuals with autism and 279 healthy control participants ages 6 to 30 years from the EU-AIMS LEAP (Longitudinal European Autism Project). FreeSurfer was used to derive surface mesh representations to compute the estimated length of connections required to wire the brain within the gray matter. Vertexwise between-group differences were assessed using a general linear model. A gene expression decoding analysis based on the Allen Human Brain Atlas was performed to link neuroanatomical differences to putative underpinnings. RESULTS Group differences in global and local wiring costs were predominantly observed in medial and lateral prefrontal brain regions, in inferior temporal regions, and at the left temporoparietal junction. The resulting neuroanatomical patterns were enriched for genes that had been previously implicated in the etiology of autism at genetic and transcriptomic levels. CONCLUSIONS Based on intrinsic gray matter connectivity, the current study investigated the complex neuroanatomy of autism and linked between-group differences to putative genomic and/or molecular mechanisms to parse the heterogeneity of autism and provide targets for future subgrouping approaches.
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Affiliation(s)
- Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; Methods of Plasticity Research, Department of Psychology, University of Zürich, Zurich, Switzerland
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Thomas Bourgeron
- Institut Pasteur, Human Genetics and Cognitive Functions Unit, Paris, France
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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11
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Shang J, Shen E, Yu Y, Jin A, Wang X, Xiang D. Relationship between abnormal intrinsic functional connectivity of subcortices and autism symptoms in high-functioning adults with autism spectrum disorder. Psychiatry Res Neuroimaging 2024; 337:111762. [PMID: 38043369 DOI: 10.1016/j.pscychresns.2023.111762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 10/02/2023] [Accepted: 11/03/2023] [Indexed: 12/05/2023]
Abstract
PURPOSE This study explores subcortices and their intrinsic functional connectivity (iFC) in autism spectrum disorder (ASD) adults and investigates their relationship with clinical severity. METHODS Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 74 ASD patients, and 63 gender and age-matched typically developing (TD) adults. Independent component analysis (ICA) was conducted to evaluate subcortical patterns of basal ganglia (BG) and thalamus. These two brain areas were treated as regions of interest to further calculate whole-brain FC. In addition, we employed multivariate machine learning to identify subcortices-based FC brain patterns and clinical scores to classify ASD adults from those TD subjects. RESULTS In ASD individuals, autism diagnostic observation schedule (ADOS) was negatively correlated with the BG network. Similarly, social responsiveness scale (SRS) was negatively correlated with the thalamus network. The BG-based iFC analysis revealed adults with ASD versus TD had lower FC, and its FC with the right medial temporal lobe (MTL), was positively correlated with SRS and ADOS separately. ASD could be predicted with a balanced accuracy of around 60.0 % using brain patterns and 84.7 % using clinical variables. CONCLUSION Our results revealed the abnormal subcortical iFC may be related to autism symptoms.
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Affiliation(s)
- Jing Shang
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Erwei Shen
- School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu Province, China
| | - Yang Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Aiying Jin
- Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Xuemei Wang
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
| | - Dehui Xiang
- School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu Province, China.
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12
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Rasero J, Jimenez-Marin A, Diez I, Toro R, Hasan MT, Cortes JM. The Neurogenetics of Functional Connectivity Alterations in Autism: Insights From Subtyping in 657 Individuals. Biol Psychiatry 2023; 94:804-813. [PMID: 37088169 DOI: 10.1016/j.biopsych.2023.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 03/24/2023] [Accepted: 04/14/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND There is little consensus and controversial evidence on anatomical alterations in the brains of people with autism spectrum disorder (ASD), due in part to the large heterogeneity present in ASD, which in turn is a major drawback for developing therapies. One strategy to characterize this heterogeneity in ASD is to cluster large-scale functional brain connectivity profiles. METHODS A subtyping approach based on consensus clustering of functional brain connectivity patterns was applied to a population of 657 autistic individuals with quality-assured neuroimaging data. We then used high-resolution gene transcriptomic data to characterize the molecular mechanism behind each subtype by performing enrichment analysis of the set of genes showing a high spatial similarity with the profiles of functional connectivity alterations between each subtype and a group of typically developing control participants. RESULTS Two major stable subtypes were found: subtype 1 exhibited hypoconnectivity (less average connectivity than typically developing control participants) and subtype 2, hyperconnectivity. The 2 subtypes did not differ in structural imaging metrics in any of the analyzed regions (68 cortical and 14 subcortical) or in any of the behavioral scores (including IQ, Autism Diagnostic Interview, and Autism Diagnostic Observation Schedule). Finally, only subtype 2, comprising about 43% of ASD participants, led to significant enrichments after multiple testing corrections. Notably, the dominant enrichment corresponded to excitation/inhibition imbalance, a leading well-known primary mechanism in the pathophysiology of ASD. CONCLUSIONS Our results support a link between excitation/inhibition imbalance and functional connectivity alterations, but only in one ASD subtype, overall characterized by brain hyperconnectivity and major alterations in somatomotor and default mode networks.
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Affiliation(s)
- Javier Rasero
- Cognitive Axon Laboratory, Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania.
| | - Antonio Jimenez-Marin
- Computational Neuroimaging Laboratory, Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain; Biomedical Research Doctorate Program, University of the Basque Country, Leioa, Spain
| | - Ibai Diez
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Roberto Toro
- Institut Pasteur, Université de Paris, Département de neuroscience, Paris, France
| | - Mazahir T Hasan
- Laboratory of Brain Circuits Therapeutics, Achucarro Basque Center for Neuroscience, Leioa, Spain; Ikerbasque, The Basque Foundation for Science, Bilbao, Spain
| | - Jesus M Cortes
- Computational Neuroimaging Laboratory, Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain; Ikerbasque, The Basque Foundation for Science, Bilbao, Spain; Department of Cell Biology and Histology, University of the Basque Country, Leioa, Spain
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13
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Huang Q, Velthuis H, Pereira AC, Ahmad J, Cooke SF, Ellis CL, Ponteduro FM, Puts NAJ, Dimitrov M, Batalle D, Wong NML, Kowalewski L, Ivin G, Daly E, Murphy DGM, McAlonan GM. Exploratory evidence for differences in GABAergic regulation of auditory processing in autism spectrum disorder. Transl Psychiatry 2023; 13:320. [PMID: 37852957 PMCID: PMC10584846 DOI: 10.1038/s41398-023-02619-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 09/28/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023] Open
Abstract
Altered reactivity and responses to auditory input are core to the diagnosis of autism spectrum disorder (ASD). Preclinical models implicate ϒ-aminobutyric acid (GABA) in this process. However, the link between GABA and auditory processing in humans (with or without ASD) is largely correlational. As part of a study of potential biosignatures of GABA function in ASD to inform future clinical trials, we evaluated the role of GABA in auditory repetition suppression in 66 adults (n = 28 with ASD). Neurophysiological responses (temporal and frequency domains) to repetitive standard tones and novel deviants presented in an oddball paradigm were compared after double-blind, randomized administration of placebo, 15 or 30 mg of arbaclofen (STX209), a GABA type B (GABAB) receptor agonist. We first established that temporal mismatch negativity was comparable between participants with ASD and those with typical development (TD). Next, we showed that temporal and spectral responses to repetitive standards were suppressed relative to responses to deviants in the two groups, but suppression was significantly weaker in individuals with ASD at baseline. Arbaclofen reversed weaker suppression of spectral responses in ASD but disrupted suppression in TD. A post hoc analysis showed that arbaclofen-elicited shift in suppression was correlated with autistic symptomatology measured using the Autism Quotient across the entire group, though not in the smaller sample of the ASD and TD group when examined separately. Thus, our results confirm: GABAergic dysfunction contributes to the neurophysiology of auditory sensory processing alterations in ASD, and can be modulated by targeting GABAB activity. These GABA-dependent sensory differences may be upstream of more complex autistic phenotypes.
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Affiliation(s)
- Qiyun Huang
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Research Center for Brain-Computer Interface, Pazhou Lab, Guangzhou, China.
| | - Hester Velthuis
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Andreia C Pereira
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
| | - Jumana Ahmad
- School of Human Sciences, University of Greenwich, London, UK
| | - Samuel F Cooke
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Claire L Ellis
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Francesca M Ponteduro
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nicolaas A J Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Mihail Dimitrov
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dafnis Batalle
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nichol M L Wong
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychology, The Education University of Hong Kong, Hong Kong, China
| | - Lukasz Kowalewski
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Glynis Ivin
- South London and Maudsley NHS Foundation Trust Pharmacy, London, UK
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Gráinne M McAlonan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
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14
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Dickie EW, Shahab S, Hawco C, Miranda D, Herman G, Argyelan M, Ji JL, Jeyachandra J, Anticevic A, Malhotra AK, Voineskos AN. Robust hierarchically organized whole-brain patterns of dysconnectivity in schizophrenia spectrum disorders observed after personalized intrinsic network topography. Hum Brain Mapp 2023; 44:5153-5166. [PMID: 37605827 PMCID: PMC10502662 DOI: 10.1002/hbm.26453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 07/05/2023] [Accepted: 08/01/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Spatial patterns of brain functional connectivity can vary substantially at the individual level. Applying cortical surface-based approaches with individualized rather than group templates may accelerate the discovery of biological markers related to psychiatric disorders. We investigated cortico-subcortical networks from multi-cohort data in people with schizophrenia spectrum disorders (SSDs) and healthy controls (HC) using individualized connectivity profiles. METHODS We utilized resting-state and anatomical MRI data from n = 406 participants (n = 203 SSD, n = 203 HC) from four cohorts. Functional timeseries were extracted from previously defined intrinsic network subregions of the striatum, thalamus, and cerebellum as well as 80 cortical regions of interest, representing six intrinsic networks using (1) volume-based approaches, (2) a surface-based group atlas approaches, and (3) Personalized Intrinsic Network Topography (PINT). RESULTS The correlations between all cortical networks and the expected subregions of the striatum, cerebellum, and thalamus were increased using a surface-based approach (Cohen's D volume vs. surface 0.27-1.00, all p < 10-6 ) and further increased after PINT (Cohen's D surface vs. PINT 0.18-0.96, all p < 10-4 ). In SSD versus HC comparisons, we observed robust patterns of dysconnectivity that were strengthened using a surface-based approach and PINT (Number of differing pairwise-correlations: volume: 404, surface: 570, PINT: 628, FDR corrected). CONCLUSION Surface-based and individualized approaches can more sensitively delineate cortical network dysconnectivity differences in people with SSDs. These robust patterns of dysconnectivity were visibly organized in accordance with the cortical hierarchy, as predicted by computational models.
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Affiliation(s)
- Erin W. Dickie
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioUSA
| | - Saba Shahab
- Department of MedicineUniversity of OttawaOttawaOntarioCanada
| | - Colin Hawco
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioUSA
| | - Dayton Miranda
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
| | - Gabrielle Herman
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
| | - Miklos Argyelan
- Psychiatry Research, The Zucker Hillside HospitalGlen CoveNew YorkUSA
- Institute of Behavioral Science, Feinstein Institutes for Medical ResearchManhassetNew YorkUSA
- Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNew YorkUSA
| | - Jie Lisa Ji
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Jerrold Jeyachandra
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
| | - Alan Anticevic
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Anil K. Malhotra
- Psychiatry Research, The Zucker Hillside HospitalGlen CoveNew YorkUSA
- Institute of Behavioral Science, Feinstein Institutes for Medical ResearchManhassetNew YorkUSA
- Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNew YorkUSA
| | - Aristotle N. Voineskos
- Center for Addiction and Mental HealthCampbell Family Mental Health ResearchTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioUSA
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15
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Wang M, Xu D, Zhang L, Jiang H. Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review. Diagnostics (Basel) 2023; 13:3027. [PMID: 37835770 PMCID: PMC10571992 DOI: 10.3390/diagnostics13193027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in children. Early diagnosis and intervention can remodel the neural structure of the brain and improve quality of life but may be inaccurate if based solely on clinical symptoms and assessment scales. Therefore, we aimed to analyze multimodal magnetic resonance imaging (MRI) data from the existing literature and review the abnormal changes in brain structural-functional networks, perfusion, neuronal metabolism, and the glymphatic system in children with ASD, which could help in early diagnosis and precise intervention. Structural MRI revealed morphological differences, abnormal developmental trajectories, and network connectivity changes in the brain at different ages. Functional MRI revealed disruption of functional networks, abnormal perfusion, and neurovascular decoupling associated with core ASD symptoms. Proton magnetic resonance spectroscopy revealed abnormal changes in the neuronal metabolites during different periods. Decreased diffusion tensor imaging signals along the perivascular space index reflected impaired glymphatic system function in children with ASD. Differences in age, subtype, degree of brain damage, and remodeling in children with ASD led to heterogeneity in research results. Multimodal MRI is expected to further assist in early and accurate clinical diagnosis of ASD through deep learning combined with genomics and artificial intelligence.
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Affiliation(s)
- Miaoyan Wang
- Department of Radiology, Affiliated Children’s Hospital of Jiangnan University, Wuxi 214000, China; (M.W.); (D.X.)
| | - Dandan Xu
- Department of Radiology, Affiliated Children’s Hospital of Jiangnan University, Wuxi 214000, China; (M.W.); (D.X.)
| | - Lili Zhang
- Department of Child Health Care, Affiliated Children’s Hospital of Jiangnan University, Wuxi 214000, China
| | - Haoxiang Jiang
- Department of Radiology, Affiliated Children’s Hospital of Jiangnan University, Wuxi 214000, China; (M.W.); (D.X.)
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16
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Javaheripour N, Wagner G, de la Cruz F, Walter M, Szycik GR, Tietze FA. Altered brain network organization in adults with Asperger's syndrome: decreased connectome transitivity and assortativity with increased global efficiency. Front Psychiatry 2023; 14:1223147. [PMID: 37701094 PMCID: PMC10494541 DOI: 10.3389/fpsyt.2023.1223147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/26/2023] [Indexed: 09/14/2023] Open
Abstract
Introduction Autism spectrum disorder (ASD) is a neurodevelopmental disorder that persists into adulthood with both social and cognitive disturbances. Asperger's syndrome (AS) was a distinguished subcategory of autism in the DSM-IV-TR defined by specific symptoms including difficulties in social interactions, inflexible thinking patterns, and repetitive behaviour without any delay in language or cognitive development. Studying the functional brain organization of individuals with these specific symptoms may help to better understand Autism spectrum symptoms. Methods The aim of this study is therefore to investigate functional connectivity as well as functional network organization characteristics using graph-theory measures of the whole brain in male adults with AS compared to healthy controls (HC) (AS: n = 15, age range 21-55 (mean ± sd: 39.5 ± 11.6), HC: n = 15, age range 22-57 [mean ± sd: 33.5 ± 8.5]). Results No significant differences were found when comparing the region-by-region connectivity at the whole-brain level between the AS group and HC. However, measures of "transitivity," which reflect local information processing and functional segregation, and "assortativity," indicating network resilience, were reduced in the AS group compared to HC. On the other hand, global efficiency, which represents the overall effectiveness and speed of information transfer across the entire brain network, was increased in the AS group. Discussion Our findings suggest that individuals with AS may have alterations in the organization and functioning of brain networks, which could contribute to the distinctive cognitive and behavioural features associated with this condition. We suggest further research to explore the association between these altered functional patterns in brain networks and specific behavioral traits observed in individuals with AS, which could provide valuable insights into the underlying mechanisms of its symptomatology.
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Affiliation(s)
- Nooshin Javaheripour
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena, Germany
| | - Feliberto de la Cruz
- Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena, Germany
- Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- German Center for Mental Health (DZPG), Jena, Germany
| | - Gregor R. Szycik
- Department of Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Fabian-Alexander Tietze
- Department of Psychiatry and Psychotherapy, Jüdisches Krankenhaus Berlin—Berlin Jewish Hospital, Academic Teaching Hospital of the Charité—Universitätsmedizin Berlin, Berlin, Germany
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17
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Bennison SA, Blazejewski SM, Liu X, Hacohen-Kleiman G, Sragovich S, Zoidou S, Touloumi O, Grigoriadis N, Gozes I, Toyo-Oka K. The cytoplasmic localization of ADNP through 14-3-3 promotes sex-dependent neuronal morphogenesis, cortical connectivity, and calcium signaling. Mol Psychiatry 2023; 28:1946-1959. [PMID: 36631597 DOI: 10.1038/s41380-022-01939-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 12/13/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023]
Abstract
Defective neuritogenesis is a contributing pathogenic mechanism underlying a variety of neurodevelopmental disorders. Single gene mutations in activity-dependent neuroprotective protein (ADNP) are the most frequent among autism spectrum disorders (ASDs) leading to the ADNP syndrome. Previous studies showed that during neuritogenesis, Adnp localizes to the cytoplasm/neurites, and Adnp knockdown inhibits neuritogenesis in culture. Here, we hypothesized that Adnp is localized in the cytoplasm during neurite formation and that this process is mediated by 14-3-3. Indeed, applying the 14-3-3 inhibitor, difopein, blocked Adnp cytoplasmic localization. Furthermore, co-immunoprecipitations showed that Adnp bound 14-3-3 proteins and proteomic analysis identified several potential phosphorylation-dependent Adnp/14-3-3 binding sites. We further discovered that knockdown of Adnp using in utero electroporation of mouse layer 2/3 pyramidal neurons in the somatosensory cortex led to previously unreported changes in neurite formation beginning at P0. Defects were sustained throughout development, the most notable included increased basal dendrite number and axon length. Paralleling the observed morphological aberrations, ex vivo calcium imaging revealed that Adnp deficient neurons had greater and more frequent spontaneous calcium influx in female mice. GRAPHIC, a novel synaptic tracing technology substantiated this finding, revealing increased interhemispheric connectivity between female Adnp deficient layer 2/3 pyramidal neurons. We conclude that Adnp is localized to the cytoplasm by 14-3-3 proteins, where it regulates neurite formation, maturation, and functional cortical connectivity significantly building on our current understanding of Adnp function and the etiology of ADNP syndrome.
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Affiliation(s)
- Sarah A Bennison
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA
| | - Sara M Blazejewski
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA
| | - Xiaonan Liu
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA, 19102, USA
| | - Gal Hacohen-Kleiman
- The Elton Laboratory for Neuroendocrinology; Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Shlomo Sragovich
- The Elton Laboratory for Neuroendocrinology; Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Sofia Zoidou
- Department of Neurology, Laboratory of Experimental Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Olga Touloumi
- Department of Neurology, Laboratory of Experimental Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Grigoriadis
- Department of Neurology, Laboratory of Experimental Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Illana Gozes
- The Elton Laboratory for Neuroendocrinology; Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Kazuhito Toyo-Oka
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA.
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18
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Fenn-Moltu S, Fitzgibbon SP, Ciarrusta J, Eyre M, Cordero-Grande L, Chew A, Falconer S, Gale-Grant O, Harper N, Dimitrova R, Vecchiato K, Fenchel D, Javed A, Earl M, Price AN, Hughes E, Duff EP, O’Muircheartaigh J, Nosarti C, Arichi T, Rueckert D, Counsell S, Hajnal JV, Edwards AD, McAlonan G, Batalle D. Development of neonatal brain functional centrality and alterations associated with preterm birth. Cereb Cortex 2023; 33:5585-5596. [PMID: 36408638 PMCID: PMC10152096 DOI: 10.1093/cercor/bhac444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/21/2022] [Accepted: 10/11/2022] [Indexed: 11/22/2022] Open
Abstract
Formation of the functional connectome in early life underpins future learning and behavior. However, our understanding of how the functional organization of brain regions into interconnected hubs (centrality) matures in the early postnatal period is limited, especially in response to factors associated with adverse neurodevelopmental outcomes such as preterm birth. We characterized voxel-wise functional centrality (weighted degree) in 366 neonates from the Developing Human Connectome Project. We tested the hypothesis that functional centrality matures with age at scan in term-born babies and is disrupted by preterm birth. Finally, we asked whether neonatal functional centrality predicts general neurodevelopmental outcomes at 18 months. We report an age-related increase in functional centrality predominantly within visual regions and a decrease within the motor and auditory regions in term-born infants. Preterm-born infants scanned at term equivalent age had higher functional centrality predominantly within visual regions and lower measures in motor regions. Functional centrality was not related to outcome at 18 months old. Thus, preterm birth appears to affect functional centrality in regions undergoing substantial development during the perinatal period. Our work raises the question of whether these alterations are adaptive or disruptive and whether they predict neurodevelopmental characteristics that are more subtle or emerge later in life.
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Affiliation(s)
- Sunniva Fenn-Moltu
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Sean P Fitzgibbon
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Judit Ciarrusta
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Michael Eyre
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, 28040, Spain
| | - Andrew Chew
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Shona Falconer
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Oliver Gale-Grant
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
| | - Nicholas Harper
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Ralica Dimitrova
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Katy Vecchiato
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Daphna Fenchel
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
| | - Ayesha Javed
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Megan Earl
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- Paediatric Liver, GI and Nutrition Centre and MowatLabs, King’s College London, London, SE5 9RS, United Kingdom
| | - Anthony N Price
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Emer Hughes
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Eugene P Duff
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, OX3 9DU, United Kingdom
- Department of Paediatrics, University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Jonathan O’Muircheartaigh
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
- Paediatric Neurosciences, Evelina London Children’s Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, SE1 7EH, United Kingdom
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Imperial College London, London, SW7 2AZ, United Kingdom
- Institute for AI and Informatics in Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, 81675, Germany
| | - Serena Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
| | - Grainne McAlonan
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, SE1 1UL, United Kingdom
| | - Dafnis Batalle
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, United Kingdom
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19
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Hadaya L, Dimitrakopoulou K, Vanes LD, Kanel D, Fenn-Moltu S, Gale-Grant O, Counsell SJ, Edwards AD, Saqi M, Batalle D, Nosarti C. Parsing brain-behavior heterogeneity in very preterm born children using integrated similarity networks. Transl Psychiatry 2023; 13:108. [PMID: 37012252 PMCID: PMC10070645 DOI: 10.1038/s41398-023-02401-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
Very preterm birth (VPT; ≤32 weeks' gestation) is associated with altered brain development and cognitive and behavioral difficulties across the lifespan. However, heterogeneity in outcomes among individuals born VPT makes it challenging to identify those most vulnerable to neurodevelopmental sequelae. Here, we aimed to stratify VPT children into distinct behavioral subgroups and explore between-subgroup differences in neonatal brain structure and function. 198 VPT children (98 females) previously enrolled in the Evaluation of Preterm Imaging Study (EudraCT 2009-011602-42) underwent Magnetic Resonance Imaging at term-equivalent age and neuropsychological assessments at 4-7 years. Using an integrative clustering approach, we combined neonatal socio-demographic, clinical factors and childhood socio-emotional and executive function outcomes, to identify distinct subgroups of children based on their similarity profiles in a multidimensional space. We characterized resultant subgroups using domain-specific outcomes (temperament, psychopathology, IQ and cognitively stimulating home environment) and explored between-subgroup differences in neonatal brain volumes (voxel-wise Tensor-Based-Morphometry), functional connectivity (voxel-wise degree centrality) and structural connectivity (Tract-Based-Spatial-Statistics). Results showed two- and three-cluster data-driven solutions. The two-cluster solution comprised a 'resilient' subgroup (lower psychopathology and higher IQ, executive function and socio-emotional scores) and an 'at-risk' subgroup (poorer behavioral and cognitive outcomes). No neuroimaging differences between the resilient and at-risk subgroups were found. The three-cluster solution showed an additional third 'intermediate' subgroup, displaying behavioral and cognitive outcomes intermediate between the resilient and at-risk subgroups. The resilient subgroup had the most cognitively stimulating home environment and the at-risk subgroup showed the highest neonatal clinical risk, while the intermediate subgroup showed the lowest clinical, but the highest socio-demographic risk. Compared to the intermediate subgroup, the resilient subgroup displayed larger neonatal insular and orbitofrontal volumes and stronger orbitofrontal functional connectivity, while the at-risk group showed widespread white matter microstructural alterations. These findings suggest that risk stratification following VPT birth is feasible and could be used translationally to guide personalized interventions aimed at promoting children's resilience.
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Affiliation(s)
- Laila Hadaya
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Konstantina Dimitrakopoulou
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Lucy D Vanes
- Centre for Neuroimaging Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Dana Kanel
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Sunniva Fenn-Moltu
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Oliver Gale-Grant
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - A David Edwards
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Mansoor Saqi
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Dafnis Batalle
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Chiara Nosarti
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK.
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20
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Itahashi T, Yamashita A, Takahara Y, Yahata N, Aoki YY, Fujino J, Yoshihara Y, Nakamura M, Aoki R, Ohta H, Sakai Y, Takamura M, Ichikawa N, Okada G, Okada N, Kasai K, Tanaka SC, Imamizu H, Kato N, Okamoto Y, Takahashi H, Kawato M, Yamashita O, Hashimoto RI. Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.26.534053. [PMID: 37034620 PMCID: PMC10081283 DOI: 10.1101/2023.03.26.534053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Autism spectrum disorder (ASD) is a lifelong condition, and its underlying biological mechanisms remain elusive. The complexity of various factors, including inter-site and development-related differences, makes it challenging to develop generalizable neuroimaging-based biomarkers for ASD. This study used a large-scale, multi-site dataset of 730 Japanese adults to develop a generalizable neuromarker for ASD across independent sites (U.S., Belgium, and Japan) and different developmental stages (children and adolescents). Our adult ASD neuromarker achieved successful generalization for the US and Belgium adults (area under the curve [AUC] = 0.70) and Japanese adults (AUC = 0.81). The neuromarker demonstrated significant generalization for children (AUC = 0.66) and adolescents (AUC = 0.71; all P < 0.05 , family-wise-error corrected). We identified 141 functional connections (FCs) important for discriminating individuals with ASD from TDCs. These FCs largely centered on social brain regions such as the amygdala, hippocampus, dorsomedial and ventromedial prefrontal cortices, and temporal cortices. Finally, we mapped schizophrenia (SCZ) and major depressive disorder (MDD) onto the biological axis defined by the neuromarker and explored the biological continuity of ASD with SCZ and MDD. We observed that SCZ, but not MDD, was located proximate to ASD on the biological dimension defined by the ASD neuromarker. The successful generalization in multifarious datasets and the observed relations of ASD with SCZ on the biological dimensions provide new insights for a deeper understanding of ASD.
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Affiliation(s)
- Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ayumu Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Yuji Takahara
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Laboratory for Drug Discovery and Disease Research, SHIONOGI & CO., LTD, Osaka, Japan
| | - Noriaki Yahata
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuta Y. Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Psychiatry, Aoki Clinic, Tokyo, Japan
| | - Junya Fujino
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yujiro Yoshihara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Motoaki Nakamura
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryuta Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Language Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Haruhisa Ohta
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Yuki Sakai
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
- Department of Neurology, Shimane University, Shimane, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
- UTokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Division of Information Science, Nara Institute of Science and Technology, Nara, Japan
| | - Hiroshi Imamizu
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Department of Psychology, Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo, Japan
| | - Nobumasa Kato
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Mitsuo Kawato
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- XNef Incorporation, Kyoto, Japan
| | - Okito Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
- RIKEN, Center for Advanced Intelligence Project, Tokyo, Japan
| | - Ryu-ichiro Hashimoto
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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21
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Juarez-Martinez EL, Sprengers JJ, Cristian G, Oranje B, van Andel DM, Avramiea AE, Simpraga S, Houtman SJ, Hardstone R, Gerver C, Jan van der Wilt G, Mansvelder HD, Eijkemans MJC, Linkenkaer-Hansen K, Bruining H. Prediction of Behavioral Improvement Through Resting-State Electroencephalography and Clinical Severity in a Randomized Controlled Trial Testing Bumetanide in Autism Spectrum Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:251-261. [PMID: 34506972 DOI: 10.1016/j.bpsc.2021.08.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/31/2021] [Accepted: 08/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Mechanism-based treatments such as bumetanide are being repurposed for autism spectrum disorder. We recently reported beneficial effects on repetitive behavioral symptoms that might be related to regulating excitation-inhibition (E/I) balance in the brain. Here, we tested the neurophysiological effects of bumetanide and the relationship to clinical outcome variability and investigated the potential for machine learning-based predictions of meaningful clinical improvement. METHODS Using modified linear mixed models applied to intention-to-treat population, we analyzed E/I-sensitive electroencephalography (EEG) measures before and after 91 days of treatment in the double-blind, randomized, placebo-controlled Bumetanide in Autism Medication and Biomarker study. Resting-state EEG of 82 subjects out of 92 participants (7-15 years) were available. Alpha frequency band absolute and relative power, central frequency, long-range temporal correlations, and functional E/I ratio treatment effects were related to the Repetitive Behavior Scale-Revised (RBS-R) and the Social Responsiveness Scale 2 as clinical outcomes. RESULTS We observed superior bumetanide effects on EEG, reflected in increased absolute and relative alpha power and functional E/I ratio and in decreased central frequency. Associations between EEG and clinical outcome change were restricted to subgroups with medium to high RBS-R improvement. Using machine learning, medium and high RBS-R improvement could be predicted by baseline RBS-R score and EEG measures with 80% and 92% accuracy, respectively. CONCLUSIONS Bumetanide exerts neurophysiological effects related to clinical changes in more responsive subsets, in whom prediction of improvement was feasible through EEG and clinical measures.
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Affiliation(s)
- Erika L Juarez-Martinez
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands; NBT Analytics BV, Amsterdam, The Netherlands; Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jan J Sprengers
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Gianina Cristian
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bob Oranje
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Dorinde M van Andel
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Arthur-Ervin Avramiea
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Sonja Simpraga
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands; NBT Analytics BV, Amsterdam, The Netherlands
| | - Simon J Houtman
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Richard Hardstone
- Neuroscience Institute, New York University School of Medicine, New York, New York
| | - Cathalijn Gerver
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands; N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gert Jan van der Wilt
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Huibert D Mansvelder
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Marinus J C Eijkemans
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands; Department of Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Klaus Linkenkaer-Hansen
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Hilgo Bruining
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands; N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, The Netherlands; Levvel, Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.
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22
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Gozzi A, Zerbi V. Modeling Brain Dysconnectivity in Rodents. Biol Psychiatry 2023; 93:419-429. [PMID: 36517282 DOI: 10.1016/j.biopsych.2022.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/19/2022] [Accepted: 09/10/2022] [Indexed: 02/04/2023]
Abstract
Altered or atypical functional connectivity as measured with functional magnetic resonance imaging (fMRI) is a hallmark feature of brain connectopathy in psychiatric, developmental, and neurological disorders. However, the biological underpinnings and etiopathological significance of this phenomenon remain unclear. The recent development of MRI-based techniques for mapping brain function in rodents provides a powerful platform to uncover the determinants of functional (dys)connectivity, whether they are genetic mutations, environmental risk factors, or specific cellular and circuit dysfunctions. Here, we summarize the recent contribution of rodent fMRI toward a deeper understanding of network dysconnectivity in developmental and psychiatric disorders. We highlight substantial correspondences in the spatiotemporal organization of rodent and human fMRI networks, supporting the translational relevance of this approach. We then show how this research platform might help us comprehend the importance of connectional heterogeneity in complex brain disorders and causally relate multiscale pathogenic contributors to functional dysconnectivity patterns. Finally, we explore how perturbational techniques can be used to dissect the fundamental aspects of fMRI coupling and reveal the causal contribution of neuromodulatory systems to macroscale network activity, as well as its altered dynamics in brain diseases. These examples outline how rodent functional imaging is poised to advance our understanding of the bases and determinants of human functional dysconnectivity.
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Affiliation(s)
- Alessandro Gozzi
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy.
| | - Valerio Zerbi
- Neuro-X Institute, School of Engineering, École polytechnique fédérale de Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
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23
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Laidi C, Neu N, Watilliaux A, Martinez-Teruel A, Razafinimanana M, Boisgontier J, Hotier S, d'Albis MA, Delorme R, Amestoy A, Holiga Š, Moal MLL, Coupé P, Leboyer M, Houenou J, Rondi-Reig L, Paradis AL. Preserved navigation abilities and spatio-temporal memory in individuals with autism spectrum disorder. Autism Res 2023; 16:280-293. [PMID: 36495045 DOI: 10.1002/aur.2865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 11/21/2022] [Indexed: 12/14/2022]
Abstract
Cerebellar abnormalities have been reported in autism spectrum disorder (ASD). Beyond its role in hallmark features of ASD, the cerebellum and its connectivity with forebrain structures also play a role in navigation. However, the current understanding of navigation abilities in ASD is equivocal, as is the impact of the disorder on the functional anatomy of the cerebellum. In the present study, we investigated the navigation behavior of a population of ASD and typically developing (TD) adults related to their brain anatomy as assessed by structural and functional MRI at rest. We used the Starmaze task, which permits assessing and distinguishing two complex navigation behaviors, one based on allocentric learning and the other on egocentric learning of a route with multiple decision points. Compared to TD controls, individuals with ASD showed similar exploration, learning, and strategy performance and preference. In addition, there was no difference in the structural or functional anatomy of the cerebellar circuits involved in navigation between the two groups. The findings of our work suggest that navigation abilities, spatio-temporal memory, and their underlying circuits are preserved in individuals with ASD.
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Affiliation(s)
- Charles Laidi
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation fondaMental, Hôpital Albert Chenevier, Créteil, France.,UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - Nathan Neu
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - Aurélie Watilliaux
- Sorbonne Université, CNRS, Inserm, IBPS, Neurosciences Paris Seine, CeZaMe Lab, Paris, France
| | - Axelle Martinez-Teruel
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Mihoby Razafinimanana
- Sorbonne Université, CNRS, Inserm, IBPS, Neurosciences Paris Seine, CeZaMe Lab, Paris, France
| | - Jennifer Boisgontier
- UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - Sevan Hotier
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation fondaMental, Hôpital Albert Chenevier, Créteil, France
| | - Marc-Antoine d'Albis
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation fondaMental, Hôpital Albert Chenevier, Créteil, France.,UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - Richard Delorme
- Service de psychiatrie de l'enfant et de l'adolescent, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Robert Debré, Institut Pasteur, Human Genetics and Cognitive Functions Unit, Paris, France
| | | | - Štefan Holiga
- Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | | | - Pierrick Coupé
- Pictura Research Group, Laboratoire Bordelais de Recherche en Informatique, Unité Mixte de Recherche Centre National de la Recherche Scientifique (UMR 5800), University Bordeaux, Talence, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation fondaMental, Hôpital Albert Chenevier, Créteil, France
| | - Josselin Houenou
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation fondaMental, Hôpital Albert Chenevier, Créteil, France.,UNIACT, Psychiatry Team, Neurospin Neuroimaging Platform, CEA Saclay, Gif-Sur-Yvette, France
| | - Laure Rondi-Reig
- Sorbonne Université, CNRS, Inserm, IBPS, Neurosciences Paris Seine, CeZaMe Lab, Paris, France
| | - Anne-Lise Paradis
- Sorbonne Université, CNRS, Inserm, IBPS, Neurosciences Paris Seine, CeZaMe Lab, Paris, France
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24
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Floris DL, Peng H, Warrier V, Lombardo MV, Pretzsch CM, Moreau C, Tsompanidis A, Gong W, Mennes M, Llera A, van Rooij D, Oldehinkel M, Forde NJ, Charman T, Tillmann J, Banaschewski T, Moessnang C, Durston S, Holt RJ, Ecker C, Dell'Acqua F, Loth E, Bourgeron T, Murphy DGM, Marquand AF, Lai MC, Buitelaar JK, Baron-Cohen S, Beckmann CF. The Link Between Autism and Sex-Related Neuroanatomy, and Associated Cognition and Gene Expression. Am J Psychiatry 2023; 180:50-64. [PMID: 36415971 DOI: 10.1176/appi.ajp.20220194] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The male preponderance in prevalence of autism is among the most pronounced sex ratios across neurodevelopmental conditions. The authors sought to elucidate the relationship between autism and typical sex-differential neuroanatomy, cognition, and related gene expression. METHODS Using a novel deep learning framework trained to predict biological sex based on T1-weighted structural brain images, the authors compared sex prediction model performance across neurotypical and autistic males and females. Multiple large-scale data sets comprising T1-weighted MRI data were employed at four stages of the analysis pipeline: 1) pretraining, with the UK Biobank sample (>10,000 individuals); 2) transfer learning and validation, with the ABIDE data sets (1,412 individuals, 5-56 years of age); 3) test and discovery, with the EU-AIMS/AIMS-2-TRIALS LEAP data set (681 individuals, 6-30 years of age); and 4) specificity, with the NeuroIMAGE and ADHD200 data sets (887 individuals, 7-26 years of age). RESULTS Across both ABIDE and LEAP, features positively predictive of neurotypical males were on average significantly more predictive of autistic males (ABIDE: Cohen's d=0.48; LEAP: Cohen's d=1.34). Features positively predictive of neurotypical females were on average significantly less predictive of autistic females (ABIDE: Cohen's d=1.25; LEAP: Cohen's d=1.29). These differences in sex prediction accuracy in autism were not observed in individuals with ADHD. In autistic females, the male-shifted neurophenotype was further associated with poorer social sensitivity and emotional face processing while also associated with gene expression patterns of midgestational cell types. CONCLUSIONS The results demonstrate an increased resemblance in both autistic male and female individuals' neuroanatomy with male-characteristic patterns associated with typically sex-differential social cognitive features and related gene expression patterns. The findings hold promise for future research aimed at refining the quest for biological mechanisms underpinning the etiology of autism.
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Affiliation(s)
- Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Han Peng
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Varun Warrier
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Michael V Lombardo
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Charlotte M Pretzsch
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Clara Moreau
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Alex Tsompanidis
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Weikang Gong
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Maarten Mennes
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Alberto Llera
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Daan van Rooij
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Marianne Oldehinkel
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Natalie J Forde
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Tony Charman
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Julian Tillmann
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Tobias Banaschewski
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Carolin Moessnang
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Sarah Durston
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Rosemary J Holt
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Christine Ecker
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Flavio Dell'Acqua
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Eva Loth
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Thomas Bourgeron
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Declan G M Murphy
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Andre F Marquand
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Meng-Chuan Lai
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Jan K Buitelaar
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Simon Baron-Cohen
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
| | - Christian F Beckmann
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich (Floris); Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, and Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands (Floris, Mennes, Llera, van Rooij, Oldehinkel, Forde, Marquand, Buitelaar, Beckmann); Wellcome Centre for Integrative Neuroimaging (Peng, Gong, Beckmann), and Visual Geometry Group (Peng), University of Oxford, Oxford, U.K.; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, U.K. (Warrier, Tsompanidis, Holt, Lai, Baron-Cohen); Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy (Lombardo); Department of Forensic and Neurodevelopmental Sciences (Pretzsch, Ecker, Dell'Acqua, Loth, Murphy), Department of Psychology (Charman), Sackler Institute for Translational Neurodevelopment (Dell'Acqua, Loth, Murphy), and Department of Neuroimaging (Marquand), Institute of Psychiatry, Psychology, and Neuroscience, King's College London; Institut Pasteur, Human Genetics and Cognitive Functions Unity, IUF, Université Paris Cité, Paris (Moreau, Bourgeron); Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland (Tillmann); Department of Child and Adolescent Psychiatry (Banaschewski) and Department of Psychiatry and Psychotherapy (Moessnang), Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University, Heidelberg, Germany (Moessnang); Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands (Durston); Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany (Ecker); Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Lai); Department of Psychiatry and Autism Research Unit, Hospital for Sick Children, Toronto (Lai); Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto (Lai); Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei (Lai); Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands (Buitelaar)
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Moreau CA, Harvey A, Kumar K, Huguet G, Urchs SGW, Douard EA, Schultz LM, Sharmarke H, Jizi K, Martin CO, Younis N, Tamer P, Rolland T, Martineau JL, Orban P, Silva AI, Hall J, van den Bree MBM, Owen MJ, Linden DEJ, Labbe A, Lippé S, Bearden CE, Almasy L, Glahn DC, Thompson PM, Bourgeron T, Bellec P, Jacquemont S. Genetic Heterogeneity Shapes Brain Connectivity in Psychiatry. Biol Psychiatry 2023; 93:45-58. [PMID: 36372570 PMCID: PMC10936195 DOI: 10.1016/j.biopsych.2022.08.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Polygenicity and genetic heterogeneity pose great challenges for studying psychiatric conditions. Genetically informed approaches have been implemented in neuroimaging studies to address this issue. However, the effects on functional connectivity of rare and common genetic risks for psychiatric disorders are largely unknown. Our objectives were to estimate and compare the effect sizes on brain connectivity of psychiatric genomic risk factors with various levels of complexity: oligogenic copy number variants (CNVs), multigenic CNVs, and polygenic risk scores (PRSs) as well as idiopathic psychiatric conditions and traits. METHODS Resting-state functional magnetic resonance imaging data were processed using the same pipeline across 9 datasets. Twenty-nine connectome-wide association studies were performed to characterize the effects of 15 CNVs (1003 carriers), 7 PRSs, 4 idiopathic psychiatric conditions (1022 individuals with autism, schizophrenia, bipolar conditions, or attention-deficit/hyperactivity disorder), and 2 traits (31,424 unaffected control subjects). RESULTS Effect sizes on connectivity were largest for psychiatric CNVs (estimates: 0.2-0.65 z score), followed by psychiatric conditions (0.15-0.42), neuroticism and fluid intelligence (0.02-0.03), and PRSs (0.01-0.02). Effect sizes of CNVs on connectivity were correlated to their effects on cognition and risk for disease (r = 0.9, p = 5.93 × 10-6). However, effect sizes of CNVs adjusted for the number of genes significantly decreased from small oligogenic to large multigenic CNVs (r = -0.88, p = 8.78 × 10-6). PRSs had disproportionately low effect sizes on connectivity compared with CNVs conferring similar risk for disease. CONCLUSIONS Heterogeneity and polygenicity affect our ability to detect brain connectivity alterations underlying psychiatric manifestations.
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Affiliation(s)
- Clara A Moreau
- Human Genetics and Cognitive Functions, Institut Pasteur, Université Paris Cité, Paris, France; Sainte-Justine Research Center, University of Montréal, Montréal, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Canada.
| | - Annabelle Harvey
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Canada
| | - Kuldeep Kumar
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Guillaume Huguet
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Sebastian G W Urchs
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Elise A Douard
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Laura M Schultz
- Lifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hanad Sharmarke
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Canada
| | - Khadije Jizi
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | | | - Nadine Younis
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Petra Tamer
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Thomas Rolland
- Human Genetics and Cognitive Functions, Institut Pasteur, Université Paris Cité, Paris, France
| | | | - Pierre Orban
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada; Département de Psychiatrie et d'Addictologie, Université de Montréal, Montréal, Canada
| | - Ana Isabel Silva
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Marianne B M van den Bree
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Michael J Owen
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Aurelie Labbe
- Département des Sciences de la Décision, HEC, Québec, Montréal, Canada
| | - Sarah Lippé
- Sainte-Justine Research Center, University of Montréal, Montréal, Canada
| | - Carrie E Bearden
- Integrative Center for Neurogenetics, Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, Los Angeles, California
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Pennsylvania; Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David C Glahn
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts; Boston Children's Hospital, Tommy Fuss Center for Neuropsychiatric Disease Research, Boston, Massachusetts
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck USC School of Medicine, Marina del Rey, California
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, Université Paris Cité, Paris, France
| | - Pierre Bellec
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, Canada
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Loth E. Does the current state of biomarker discovery in autism reflect the limits of reductionism in precision medicine? Suggestions for an integrative approach that considers dynamic mechanisms between brain, body, and the social environment. Front Psychiatry 2023; 14:1085445. [PMID: 36911126 PMCID: PMC9992810 DOI: 10.3389/fpsyt.2023.1085445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/23/2023] [Indexed: 02/24/2023] Open
Abstract
Over the past decade, precision medicine has become one of the most influential approaches in biomedical research to improve early detection, diagnosis, and prognosis of clinical conditions and develop mechanism-based therapies tailored to individual characteristics using biomarkers. This perspective article first reviews the origins and concept of precision medicine approaches to autism and summarises recent findings from the first "generation" of biomarker studies. Multi-disciplinary research initiatives created substantially larger, comprehensively characterised cohorts, shifted the focus from group-comparisons to individual variability and subgroups, increased methodological rigour and advanced analytic innovations. However, although several candidate markers with probabilistic value have been identified, separate efforts to divide autism by molecular, brain structural/functional or cognitive markers have not identified a validated diagnostic subgroup. Conversely, studies of specific monogenic subgroups revealed substantial variability in biology and behaviour. The second part discusses both conceptual and methodological factors in these findings. It is argued that the predominant reductionist approach, which seeks to parse complex issues into simpler, more tractable units, let us to neglect the interactions between brain and body, and divorce individuals from their social environment. The third part draws on insights from systems biology, developmental psychology and neurodiversity approaches to outline an integrative approach that considers the dynamic interaction between biological (brain, body) and social mechanisms (stress, stigma) to understanding the origins of autistic features in particular conditions and contexts. This requires 1) closer collaboration with autistic people to increase face validity of concepts and methodologies; (2) development of measures/technologies that enable repeat assessment of social and biological factors in different (naturalistic) conditions and contexts, (3) new analytic methods to study (simulate) these interactions (including emergent properties), and (4) cross-condition designs to understand which mechanisms are transdiagnostic or specific for particular autistic sub-populations. Tailored support may entail both creating more favourable conditions in the social environment and interventions for some autistic people to increase well-being.
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Affiliation(s)
- Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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27
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Linke AC, Chen B, Olson L, Ibarra C, Fong C, Reynolds S, Apostol M, Kinnear M, Müller RA, Fishman I. Sleep Problems in Preschoolers With Autism Spectrum Disorder Are Associated With Sensory Sensitivities and Thalamocortical Overconnectivity. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:21-31. [PMID: 34343726 PMCID: PMC9826645 DOI: 10.1016/j.bpsc.2021.07.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 07/08/2021] [Accepted: 07/21/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Projections between the thalamus and sensory cortices are established early in development and play an important role in regulating sleep as well as in relaying sensory information to the cortex. Atypical thalamocortical functional connectivity frequently observed in children with autism spectrum disorder (ASD) might therefore be linked to sensory and sleep problems common in ASD. METHODS Here, we investigated the relationship between auditory-thalamic functional connectivity measured during natural sleep functional magnetic resonance imaging, sleep problems, and sound sensitivities in 70 toddlers and preschoolers (1.5-5 years old) with ASD compared with a matched group of 46 typically developing children. RESULTS In children with ASD, sleep problems and sensory sensitivities were positively correlated, and increased sleep latency was associated with overconnectivity between the thalamus and auditory cortex in a subsample with high-quality magnetic resonance imaging data (n = 29). In addition, auditory cortex blood oxygen level-dependent signal amplitude was elevated in children with ASD, potentially reflecting reduced sensory gating or a lack of auditory habituation during natural sleep. CONCLUSIONS These findings indicate that atypical thalamocortical functional connectivity can be detected early in development and may play a crucial role in sleep problems and sensory sensitivities in ASD.
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Affiliation(s)
- Annika Carola Linke
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California.
| | - Bosi Chen
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Lindsay Olson
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Cynthia Ibarra
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Chris Fong
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Sarah Reynolds
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Michael Apostol
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Mikaela Kinnear
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Ralph-Axel Müller
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; SDSU Center for Autism and Developmental Disorders, San Diego, California
| | - Inna Fishman
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; SDSU Center for Autism and Developmental Disorders, San Diego, California
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28
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Yoon N, Huh Y, Lee H, Kim JI, Lee J, Yang CM, Jang S, Ahn YD, Oh MR, Lee DS, Kang H, Kim BN. Alterations in Social Brain Network Topology at Rest in Children With Autism Spectrum Disorder. Psychiatry Investig 2022; 19:1055-1068. [PMID: 36588440 PMCID: PMC9806512 DOI: 10.30773/pi.2022.0174] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages. METHODS In this study, 31 ASD children aged 2-11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and clinical scores was also analyzed. RESULTS Underconnectivities within the posterior default mode network subregions and between the inferior parietal lobule and inferior frontal/superior temporal regions were observed in the ASD group. These areas significantly correlated with the clinical phenotypes. The global, local, and nodal network efficiencies were lower in children with ASD than in those with typical development. In the preschool-age children (2-6 years) with ASD, the anterior-posterior connectivity of the default mode network and cerebellar connectivity were reduced. CONCLUSION The observed topological reorganization, underconnectivity, and disrupted efficiency in the default mode network subregions and social function-related regions could be significant biomarkers of childhood ASD.
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Affiliation(s)
- Narae Yoon
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Youngmin Huh
- Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyekyoung Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Johanna Inhyang Kim
- Department of Psychiatry, Hanyang University Medical Center, Seoul, Republic of Korea
| | - Jung Lee
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.,Integrative Care Hub, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Chan-Mo Yang
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soomin Jang
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yebin D Ahn
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Mee Rim Oh
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong Soo Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Molecular Medicine and Biopharmaceutical Science, Seoul National University, Seoul, Republic of Korea
| | - Hyejin Kang
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Bung-Nyun Kim
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
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29
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Yao S, Kendrick KM. Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features. PSYCHORADIOLOGY 2022; 2:129-145. [PMID: 38665271 PMCID: PMC11003433 DOI: 10.1093/psyrad/kkac016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 04/28/2024]
Abstract
There is considerable interest in the significance of structural and functional connections between the two brain hemispheres in terms of both normal function and in relation to psychiatric disorders. In recent years, many studies have used voxel mirrored homotopic connectivity analysis of resting state data to investigate the importance of connectivity between homotopic regions in the brain hemispheres in a range of neuropsychiatric disorders. The current review summarizes findings from these voxel mirrored homotopic connectivity studies in individuals with autism spectrum disorder, addiction, attention deficit hyperactivity disorder, anxiety and depression disorders, and schizophrenia, as well as disorders such as Alzheimer's disease, mild cognitive impairment, epilepsy, and insomnia. Overall, other than attention deficit hyperactivity disorder, studies across psychiatric disorders report decreased homotopic resting state functional connectivity in the default mode, attention, salience, sensorimotor, social cognition, visual recognition, primary visual processing, and reward networks, which are often associated with symptom severity and/or illness onset/duration. Decreased homotopic resting state functional connectivity may therefore represent a transdiagnostic marker for general psychopathology. In terms of disorder specificity, the extensive decreases in homotopic resting state functional connectivity in autism differ markedly from attention deficit hyperactivity disorder, despite both occurring during early childhood and showing extensive co-morbidity. A pattern of more posterior than anterior regions showing reductions in schizophrenia is also distinctive. Going forward, more studies are needed to elucidate the functions of these homotopic functional connections in both health and disorder and focusing on associations with general psychopathology, and not only on disorder specific symptoms.
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Affiliation(s)
- Shuxia Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
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30
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Intellectually able adults with autism spectrum disorder show typical resting-state EEG activity. Sci Rep 2022; 12:19016. [PMID: 36347938 PMCID: PMC9643446 DOI: 10.1038/s41598-022-22597-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/17/2022] [Indexed: 11/11/2022] Open
Abstract
There is broad interest in discovering quantifiable physiological biomarkers for psychiatric disorders to aid diagnostic assessment. However, finding biomarkers for autism spectrum disorder (ASD) has proven particularly difficult, partly due to high heterogeneity. Here, we recorded five minutes eyes-closed rest electroencephalography (EEG) from 186 adults (51% with ASD and 49% without ASD) and investigated the potential of EEG biomarkers to classify ASD using three conventional machine learning models with two-layer cross-validation. Comprehensive characterization of spectral, temporal and spatial dimensions of source-modelled EEG resulted in 3443 biomarkers per recording. We found no significant group-mean or group-variance differences for any of the EEG features. Interestingly, we obtained validation accuracies above 80%; however, the best machine learning model merely distinguished ASD from the non-autistic comparison group with a mean balanced test accuracy of 56% on the entirely unseen test set. The large drop in model performance between validation and testing, stress the importance of rigorous model evaluation, and further highlights the high heterogeneity in ASD. Overall, the lack of significant differences and weak classification indicates that, at the group level, intellectually able adults with ASD show remarkably typical resting-state EEG.
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31
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Alamdari SB, Sadeghi Damavandi M, Zarei M, Khosrowabadi R. Cognitive theories of autism based on the interactions between brain functional networks. Front Hum Neurosci 2022; 16:828985. [PMID: 36310850 PMCID: PMC9614840 DOI: 10.3389/fnhum.2022.828985] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 08/15/2022] [Indexed: 12/03/2022] Open
Abstract
Cognitive functions are directly related to interactions between the brain's functional networks. This functional organization changes in the autism spectrum disorder (ASD). However, the heterogeneous nature of autism brings inconsistency in the findings, and specific pattern of changes based on the cognitive theories of ASD still requires to be well-understood. In this study, we hypothesized that the theory of mind (ToM), and the weak central coherence theory must follow an alteration pattern in the network level of functional interactions. The main aim is to understand this pattern by evaluating interactions between all the brain functional networks. Moreover, the association between the significantly altered interactions and cognitive dysfunctions in autism is also investigated. We used resting-state fMRI data of 106 subjects (5–14 years, 46 ASD: five female, 60 HC: 18 female) to define the brain functional networks. Functional networks were calculated by applying four parcellation masks and their interactions were estimated using Pearson's correlation between pairs of them. Subsequently, for each mask, a graph was formed based on the connectome of interactions. Then, the local and global parameters of the graph were calculated. Finally, statistical analysis was performed using a two-sample t-test to highlight the significant differences between autistic and healthy control groups. Our corrected results show significant changes in the interaction of default mode, sensorimotor, visuospatial, visual, and language networks with other functional networks that can support the main cognitive theories of autism. We hope this finding sheds light on a better understanding of the neural underpinning of autism.
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Affiliation(s)
| | | | - Mojtaba Zarei
- University of Southern Denmark, Neurology Unit, Odense, Denmark
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Reza Khosrowabadi
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
- *Correspondence: Reza Khosrowabadi
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32
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Otero AM, Antonson AM. At the crux of maternal immune activation: Viruses, microglia, microbes, and IL-17A. Immunol Rev 2022; 311:205-223. [PMID: 35979731 PMCID: PMC9804202 DOI: 10.1111/imr.13125] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Inflammation during prenatal development can be detrimental to neurodevelopmental processes, increasing the risk of neuropsychiatric disorders. Prenatal exposure to maternal viral infection during pregnancy is a leading environmental risk factor for manifestation of these disorders. Preclinical animal models of maternal immune activation (MIA), established to investigate this link, have revealed common immune and microbial signaling pathways that link mother and fetus and set the tone for prenatal neurodevelopment. In particular, maternal intestinal T helper 17 cells, educated by endogenous microbes, appear to be key drivers of effector IL-17A signals capable of reaching the fetal brain and causing neuropathologies. Fetal microglial cells are particularly sensitive to maternally derived inflammatory and microbial signals, and they shift their functional phenotype in response to MIA. Resulting cortical malformations and miswired interneuron circuits cause aberrant offspring behaviors that recapitulate core symptoms of human neurodevelopmental disorders. Still, the popular use of "sterile" immunostimulants to initiate MIA has limited translation to the clinic, as these stimulants fail to capture biologically relevant innate and adaptive inflammatory sequelae induced by live pathogen infection. Thus, there is a need for more translatable MIA models, with a focus on relevant pathogens like seasonal influenza viruses.
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Affiliation(s)
- Ashley M. Otero
- Neuroscience ProgramUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
| | - Adrienne M. Antonson
- Department of Animal SciencesUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
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33
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Advances in the identification and validation of autism biomarkers. Nat Rev Drug Discov 2022; 21:697-698. [PMID: 36008547 DOI: 10.1038/d41573-022-00141-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Rauter A, Schneider H, Prinz W. Effectivity of ILF Neurofeedback on Autism Spectrum Disorder-A Case Study. Front Hum Neurosci 2022; 16:892296. [PMID: 35754769 PMCID: PMC9219907 DOI: 10.3389/fnhum.2022.892296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/10/2022] [Indexed: 11/22/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neural and mental developmental disorder that impacts brain connectivity and information processing. Although application of the infra-low frequency (ILF) neurofeedback procedure has been shown to lead to significant changes in functional connectivity in multiple areas and neuronal networks of the brain, rather limited data are available in the literature for the efficacy of this technique in a therapeutic context to treat ASD. Here we present the case study of a 5-year-old boy with ASD, who received a treatment of 26 sessions of ILF neurofeedback over a 6-month period. A systematic and quantitative tracking of core ASD symptoms in several categories was used to document behavioral changes over time. The ILF neurofeedback intervention decreased the average symptom severity of every category to a remarkable degree, with the strongest effect (80 and 77% mean severity reduction) for physical and sleep symptoms and the lowest influence on behavioral symptoms (15% mean severity reduction). This case study is representative of clinical experience, and thus shows that ILF neurofeedback is a practical and effective therapeutic instrument to treat ASD in children.
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Affiliation(s)
| | - Horst Schneider
- Medical Scientific Research, BEE Medic GmbH, Singen, Germany
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35
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Jacob S, Anagnostou E, Hollander E, Jou R, McNamara N, Sikich L, Tobe R, Murphy D, McCracken J, Ashford E, Chatham C, Clinch S, Smith J, Sanders K, Murtagh L, Noeldeke J, Veenstra-VanderWeele J. Large multicenter randomized trials in autism: key insights gained from the balovaptan clinical development program. Mol Autism 2022; 13:25. [PMID: 35690870 PMCID: PMC9188723 DOI: 10.1186/s13229-022-00505-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/31/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a common and heterogeneous neurodevelopmental condition that is characterized by the core symptoms of social communication difficulties and restricted and repetitive behaviors. At present, there is an unmet medical need for therapies to ameliorate these core symptoms in order to improve quality of life of autistic individuals. However, several challenges are currently faced by the ASD community relating to the development of pharmacotherapies, namely in the conduct of clinical trials. Balovaptan is a V1a receptor antagonist that has been investigated to improve social communication difficulties in individuals with ASD. In this viewpoint, we draw upon our recent first-hand experiences of the balovaptan clinical development program to describe current challenges of ASD trials. DISCUSSION POINTS The balovaptan trials were conducted in a wide age range of individuals with ASD with the added complexities associated with international trials. When summarizing all three randomized trials of balovaptan, a placebo response was observed across several outcome measures. Placebo response was predicted by greater baseline symptom severity, online recruitment of participants, and less experienced or non-academic trial sites. We also highlight challenges relating to selection of outcome measures in ASD, the impact of baseline characteristics, and the role of expectation bias in influencing trial results. CONCLUSION Taken together, the balovaptan clinical development program has advanced our understanding of the key challenges facing ASD treatment research. The insights gained can be used to inform and improve the design of future clinical trials with the collective aim of developing efficacious therapies to support individuals with ASD.
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Affiliation(s)
- Suma Jacob
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | - Evdokia Anagnostou
- Holland Bloorview Kids Rehabilitation Hospital, University of Toronto, Toronto, ON, Canada
| | - Eric Hollander
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, New York, NY, USA
| | - Roger Jou
- Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Nora McNamara
- Department of Psychiatry, University Hospitals, Cleveland, OH, USA
| | - Linmarie Sikich
- Department of Psychiatry and Behavioral Sciences, Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Russell Tobe
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | | | - James McCracken
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | | | | | - Janice Smith
- F. Hoffmann-La Roche Ltd, Welwyn Garden City, UK
| | - Kevin Sanders
- F. Hoffmann-La Roche Ltd, Genentech, South San Francisco, CA, USA
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Berto S, Treacher AH, Caglayan E, Luo D, Haney JR, Gandal MJ, Geschwind DH, Montillo AA, Konopka G. Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder. Nat Commun 2022; 13:3328. [PMID: 35680911 PMCID: PMC9184501 DOI: 10.1038/s41467-022-31053-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/13/2022] [Indexed: 12/13/2022] Open
Abstract
Gene expression covaries with brain activity as measured by resting state functional magnetic resonance imaging (MRI). However, it is unclear how genomic differences driven by disease state can affect this relationship. Here, we integrate from the ABIDE I and II imaging cohorts with datasets of gene expression in brains of neurotypical individuals and individuals with autism spectrum disorder (ASD) with regionally matched brain activity measurements from fMRI datasets. We identify genes linked with brain activity whose association is disrupted in ASD. We identified a subset of genes that showed a differential developmental trajectory in individuals with ASD compared with controls. These genes are enriched in voltage-gated ion channels and inhibitory neurons, pointing to excitation-inhibition imbalance in ASD. We further assessed differences at the regional level showing that the primary visual cortex is the most affected region in ASD. Our results link disrupted brain expression patterns of individuals with ASD to brain activity and show developmental, cell type, and regional enrichment of activity linked genes. Gene expression patterns have been associated with functional activity patterns in the brain. Here the authors determine how gene expression patterns in the human brain supports brain phenotypes obtained from resting state fMRI imaging, identifying brain regions and genes relevant to autism.
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Affiliation(s)
- Stefano Berto
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Alex H Treacher
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Emre Caglayan
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Danni Luo
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Jillian R Haney
- Program in Neurobehavioral Genetics, Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Program in Neurogenetics, Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Michael J Gandal
- Program in Neurobehavioral Genetics, Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Program in Neurogenetics, Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Daniel H Geschwind
- Program in Neurobehavioral Genetics, Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Program in Neurogenetics, Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Albert A Montillo
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA. .,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA. .,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Genevieve Konopka
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA.
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37
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Garcés P, Baumeister S, Mason L, Chatham CH, Holiga S, Dukart J, Jones EJH, Banaschewski T, Baron-Cohen S, Bölte S, Buitelaar JK, Durston S, Oranje B, Persico AM, Beckmann CF, Bougeron T, Dell'Acqua F, Ecker C, Moessnang C, Charman T, Tillmann J, Murphy DGM, Johnson M, Loth E, Brandeis D, Hipp JF. Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis. Mol Autism 2022; 13:22. [PMID: 35585637 PMCID: PMC9118870 DOI: 10.1186/s13229-022-00500-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 05/06/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n = 212 ASD, n = 199 neurotypicals [NT], all with IQ > 75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p = .042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects.
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Affiliation(s)
- Pilar Garcés
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland.
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Luke Mason
- Department of Psychological Sciences, Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Christopher H Chatham
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland
| | - Stefan Holiga
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.,Medical Faculty, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Emily J H Jones
- Department of Psychological Sciences, Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Simon Baron-Cohen
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Sven Bölte
- Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.,Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Australia
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Sarah Durston
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bob Oranje
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Antonio M Persico
- Interdepartmental Program "Autism 0-90", "G. Martino" University Hospital, University of Messina, Messina, Italy
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Thomas Bougeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France
| | - Flavio Dell'Acqua
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Christine Ecker
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.,Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany
| | - Carolin Moessnang
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Tony Charman
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Julian Tillmann
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland
| | - Declan G M Murphy
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Mark Johnson
- Department of Psychological Sciences, Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Eva Loth
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland
| | - Joerg F Hipp
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland
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Choi H, Byeon K, Park BY, Lee JE, Valk SL, Bernhardt B, Martino AD, Milham M, Hong SJ, Park H. Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles. Neuroimage 2022; 256:119212. [PMID: 35430361 DOI: 10.1016/j.neuroimage.2022.119212] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/28/2022] [Accepted: 04/13/2022] [Indexed: 10/18/2022] Open
Abstract
Clinical heterogeneity has been one of the main barriers to develop effective biomarkers and therapeutic strategies in autism spectrum disorder (ASD). Recognizing this challenge, much effort has been made in recent neuroimaging studies to find biologically more homogeneous subgroups (called 'neurosubtypes') in autism. However, most approaches have rarely evaluated how much the employed features in subtyping represent the core anomalies of ASD, obscuring its utility in actual clinical diagnosis. To address this, we combined two data-driven methods, 'connectome-based gradient' and 'functional random forest', collectively allowing to discover reproducible neurosubtypes based on resting-state functional connectivity profiles that are specific to ASD. Indeed, the former technique provides the features (as input for subtyping) that effectively summarize whole-brain connectome variations in both normal and ASD conditions, while the latter leverages a supervised random forest algorithm to inform diagnostic labels to clustering, which makes neurosubtyping driven by the features of ASD core anomalies. Applying this framework to the open-sharing Autism Brain Imaging Data Exchange repository data (discovery, n = 103/108 for ASD/typically developing [TD]; replication, n = 44/42 for ASD/TD), we found three dominant subtypes of functional gradients in ASD and three subtypes in TD. The subtypes in ASD revealed distinct connectome profiles in multiple brain areas, which are associated with different Neurosynth-derived cognitive functions previously implicated in autism studies. Moreover, these subtypes showed different symptom severity, which degree co-varies with the extent of functional gradient changes observed across the groups. The subtypes in the discovery and replication datasets showed similar symptom profiles in social interaction and communication domains, confirming a largely reproducible brain-behavior relationship. Finally, the connectome gradients in ASD subtypes present both common and distinct patterns compared to those in TD, reflecting their potential overlap and divergence in terms of developmental mechanisms involved in the manifestation of large-scale functional networks. Our study demonstrated a potential of the diagnosis-informed subtyping approach in developing a clinically useful brain-based classification system for future ASD research.
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Affiliation(s)
- Hyoungshin Choi
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Bo-Yong Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea; Department of Data Science, Inha University, Incheon, South Korea
| | - Jong-Eun Lee
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Sofie L Valk
- Otto Hahn group, Cognitive neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences; Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | | | - Michael Milham
- Center for the Developing Brain, Child Mind Institute, New York, United States; Nathan S. Kline Institute for Psychiatric Research, New York, United States
| | - Seok-Jun Hong
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea; Center for the Developing Brain, Child Mind Institute, New York, United States; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, South Korea.
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea; School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon 16419, South Korea.
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39
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Traut N, Heuer K, Lemaître G, Beggiato A, Germanaud D, Elmaleh M, Bethegnies A, Bonnasse-Gahot L, Cai W, Chambon S, Cliquet F, Ghriss A, Guigui N, de Pierrefeu A, Wang M, Zantedeschi V, Boucaud A, van den Bossche J, Kegl B, Delorme R, Bourgeron T, Toro R, Varoquaux G. Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. Neuroimage 2022; 255:119171. [PMID: 35413445 DOI: 10.1016/j.neuroimage.2022.119171] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 12/23/2022] Open
Abstract
MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, undisclosed, analytic choices. We conducted an international challenge to predict ASD diagnosis from MRI data, where we provided preprocessed anatomical and functional MRI data from > 2,000 individuals. Evaluation of the predictions was rigorously blinded. 146 challengers submitted prediction algorithms, which were evaluated at the end of the challenge using unseen data and an additional acquisition site. On the best algorithms, we studied the importance of MRI modalities, brain regions, and sample size. We found evidence that MRI could predict ASD diagnosis: the 10 best algorithms reliably predicted diagnosis with AUC∼0.80 - far superior to what can be currently obtained using genotyping data in cohorts 20-times larger. We observed that functional MRI was more important for prediction than anatomical MRI, and that increasing sample size steadily increased prediction accuracy, providing an efficient strategy to improve biomarkers. We also observed that despite a strong incentive to generalise to unseen data, model development on a given dataset faces the risk of overfitting: performing well in cross-validation on the data at hand, but not generalising. Finally, we were able to predict ASD diagnosis on an external sample added after the end of the challenge (EU-AIMS), although with a lower prediction accuracy (AUC=0.72). This indicates that despite being based on a large multisite cohort, our challenge still produced biomarkers fragile in the face of dataset shifts.
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Affiliation(s)
- Nicolas Traut
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - Katja Heuer
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - Guillaume Lemaître
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | - Anita Beggiato
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Child and Adolescent Psychiatry Department, Robert Debré, APHP, Paris, France
| | | | | | | | | | - Weidong Cai
- Stanford University School of Medicine, Palo Alto, US
| | | | - Freddy Cliquet
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | | | | | | | - Meng Wang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Valentina Zantedeschi
- Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d'Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Etienne, France
| | - Alexandre Boucaud
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | - Joris van den Bossche
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | | | - Richard Delorme
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Child and Adolescent Psychiatry Department, Robert Debré, APHP, Paris, France
| | - Thomas Bourgeron
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | - Roberto Toro
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | - Gaël Varoquaux
- Parietal, Inria, Saclay, France; Soda, Inria, Saclay, France.
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40
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Pitsik EN, Frolov NS, Shusharina N, Hramov AE. Age-Related Changes in Functional Connectivity during the Sensorimotor Integration Detected by Artificial Neural Network. SENSORS 2022; 22:s22072537. [PMID: 35408153 PMCID: PMC9003057 DOI: 10.3390/s22072537] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/21/2022] [Accepted: 03/24/2022] [Indexed: 02/01/2023]
Abstract
Large-scale functional connectivity is an important indicator of the brain’s normal functioning. The abnormalities in the connectivity pattern can be used as a diagnostic tool to detect various neurological disorders. The present paper describes the functional connectivity assessment based on artificial intelligence to reveal age-related changes in neural response in a simple motor execution task. Twenty subjects of two age groups performed repetitive motor tasks on command, while the whole-scalp EEG was recorded. We applied the model based on the feed-forward multilayer perceptron to detect functional relationships between five groups of sensors located over the frontal, parietal, left, right, and middle motor cortex. Functional dependence was evaluated with the predicted and original time series coefficient of determination. Then, we applied statistical analysis to highlight the significant features of the functional connectivity network assessed by our model. Our findings revealed the connectivity pattern is consistent with modern ideas of the healthy aging effect on neural activation. Elderly adults demonstrate a pronounced activation of the whole-brain theta-band network and decreased activation of frontal–parietal and motor areas of the mu-band. Between-subject analysis revealed a strengthening of inter-areal task-relevant links in elderly adults. These findings can be interpreted as an increased cognitive demand in elderly adults to perform simple motor tasks with the dominant hand, induced by age-related working memory decline.
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Affiliation(s)
- Elena N. Pitsik
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia; (E.N.P.); (N.S.F.); (N.S.)
- Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia
| | - Nikita S. Frolov
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia; (E.N.P.); (N.S.F.); (N.S.)
- Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia
| | - Natalia Shusharina
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia; (E.N.P.); (N.S.F.); (N.S.)
| | - Alexander E. Hramov
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia; (E.N.P.); (N.S.F.); (N.S.)
- Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia
- Correspondence:
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41
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Lorenzini L, van Wingen G, Cerliani L. Atypically high influence of subcortical activity on primary sensory regions in autism. Neuroimage Clin 2022; 32:102839. [PMID: 34624634 PMCID: PMC8503568 DOI: 10.1016/j.nicl.2021.102839] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 12/20/2022]
Abstract
The age-dependent decrease of subcortico-cortical connectivity is attenuated in ASD. Primary sensory regions remain less segregated from subcortical activity in ASD. This could underlie an excessive amount of sensory input relayed to the cortex.
Background Hypersensitivity, stereotyped behaviors and attentional problems in autism spectrum disorder (ASD) are compatible with inefficient filtering of undesired or irrelevant sensory information at early stages of neural processing. This could stem from the persistent overconnectivity between primary sensory regions and deep brain nuclei in both children and adults with ASD – as reported by several previous studies – which could reflect a decreased or arrested maturation of brain connectivity. However, it has not yet been investigated whether this overconnectivity can be modelled as an excessive directional influence of subcortical brain activity on primary sensory cortical regions in ASD, with respect to age-matched typically developing (TD) individuals. Methods To this aim, we used dynamic causal modelling to estimate (1) the directional influence of subcortical activity on cortical processing and (2) the functional segregation of primary sensory cortical regions from subcortical activity in 166 participants with ASD and 193 TD participants from the Autism Brain Imaging Data Exchange (ABIDE). We then specifically tested the hypothesis that the age-related changes of these indicators of brain connectivity would differ between the two groups. Results We found that in TD participants age was significantly associated with decreased influence of subcortical activity on cortical processing, paralleled by an increased functional segregation of cortical sensory processing from subcortical activity. Instead these effects were highly reduced and mostly absent in ASD participants, suggesting a delayed or arrested development of the segregation between subcortical and cortical sensory processing in ASD. Conclusion This atypical configuration of subcortico-cortical connectivity in ASD can result in an excessive amount of unprocessed sensory input relayed to the cortex, which is likely to impact cognitive functioning in everyday situations where it is beneficial to limit the influence of basic sensory information on cognitive processing, such as activities requiring focused attention or social interactions.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Dept. Radiology and Nuclear Medicine, Amsterdam UMC, VU University, Amsterdam Neuroscience, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands.
| | - Guido van Wingen
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WT, University of Amsterdam, The Netherlands
| | - Leonardo Cerliani
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WT, University of Amsterdam, The Netherlands; Netherlands Institute for Neuroscience, Social Brain Lab, Meibergdreef 47, 1105BA Amsterdam, The Netherlands
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42
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Naturalizing psychopathology-towards a quantitative real-world psychiatry. Mol Psychiatry 2022; 27:781-783. [PMID: 34667260 PMCID: PMC9054666 DOI: 10.1038/s41380-021-01322-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 09/08/2021] [Accepted: 09/24/2021] [Indexed: 02/04/2023]
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43
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Chiola S, Edgar NU, Shcheglovitov A. iPSC toolbox for understanding and repairing disrupted brain circuits in autism. Mol Psychiatry 2022; 27:249-258. [PMID: 34497379 PMCID: PMC8901782 DOI: 10.1038/s41380-021-01288-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/16/2021] [Accepted: 08/26/2021] [Indexed: 02/08/2023]
Abstract
Over the past decade, tremendous progress has been made in defining autism spectrum disorder (ASD) as a disorder of brain connectivity. Indeed, whole-brain imaging studies revealed altered connectivity in the brains of individuals with ASD, and genetic studies identified rare ASD-associated mutations in genes that regulate synaptic development and function. However, it remains unclear how specific mutations alter the development of neuronal connections in different brain regions and whether altered connections can be restored therapeutically. The main challenge is the lack of preclinical models that recapitulate important aspects of human development for studying connectivity. Through recent technological innovations, it is now possible to generate patient- or mutation-specific human neurons or organoids from induced pluripotent stem cells (iPSCs) and to study altered connectivity in vitro or in vivo upon xenotransplantation into an intact rodent brain. Here, we discuss how deficits in neurodevelopmental processes may lead to abnormal brain connectivity and how iPSC-based models can be used to identify abnormal connections and to gain insights into underlying cellular and molecular mechanisms to develop novel therapeutics.
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Affiliation(s)
- Simone Chiola
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA
| | - Nicolas U Edgar
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA
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Chen Y, Cui Q, Sheng W, Tang Q, Lu F, Pang Y, Nan X, He Z, Li D, Lei T, Chen H. Anomalous neurovascular coupling in patients with generalized anxiety disorder evaluated by combining cerebral blood flow and functional connectivity strength. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110379. [PMID: 34111495 DOI: 10.1016/j.pnpbp.2021.110379] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 05/06/2021] [Accepted: 06/04/2021] [Indexed: 01/10/2023]
Abstract
Coupling between neuronal activity and blood perfusion is termed neurovascular coupling, and it provides a new mechanistic perspective into understanding numerous brain diseases. Although abnormal brain activity and blood supply have been separately reported in generalized anxiety disorder (GAD), whether anomalous neurovascular coupling would still be presented in such disease is hitherto unknown. In this study, the neuronal activity and blood supply were measured using the functional connectivity strength (FCS) and cerebral blood flow (CBF). The voxel-wise CBF-FCS correlations and CBF/FCS ratio were separately used to assess global and local neurovascular coupling in participants. Patients with GAD showed decreased voxel-wise CBF-FCS correlation, implicating global neurovascular decoupling. They also exhibited increased CBF/FCS ratio in the right superior parietal gyrus (SPG), and the enhanced CBF/FCS ratio in this region was negatively correlated with the self-esteem scores of GAD. The abnormal neurovascular coupling of GAD may indicate the disrupted balance between the intrinsic functional organization of the brain and corresponding blood perfusion of patients, and the abnormally increased local neurovascular coupling of the right SPG may be correlated with the abnormal self in GAD. These findings provide new information in understanding the brain dysfunction and abnormal cognition of GAD from the perspective of neurovascular coupling.
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Affiliation(s)
- Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yajing Pang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Xiaoyu Nan
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Ting Lei
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China; Department of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China.
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45
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Zerbi V, Pagani M, Markicevic M, Matteoli M, Pozzi D, Fagiolini M, Bozzi Y, Galbusera A, Scattoni ML, Provenzano G, Banerjee A, Helmchen F, Basson MA, Ellegood J, Lerch JP, Rudin M, Gozzi A, Wenderoth N. Brain mapping across 16 autism mouse models reveals a spectrum of functional connectivity subtypes. Mol Psychiatry 2021; 26:7610-7620. [PMID: 34381171 PMCID: PMC8873017 DOI: 10.1038/s41380-021-01245-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 06/30/2021] [Accepted: 07/20/2021] [Indexed: 02/07/2023]
Abstract
Autism Spectrum Disorder (ASD) is characterized by substantial, yet highly heterogeneous abnormalities in functional brain connectivity. However, the origin and significance of this phenomenon remain unclear. To unravel ASD connectopathy and relate it to underlying etiological heterogeneity, we carried out a bi-center cross-etiological investigation of fMRI-based connectivity in the mouse, in which specific ASD-relevant mutations can be isolated and modeled minimizing environmental contributions. By performing brain-wide connectivity mapping across 16 mouse mutants, we show that different ASD-associated etiologies cause a broad spectrum of connectional abnormalities in which diverse, often diverging, connectivity signatures are recognizable. Despite this heterogeneity, the identified connectivity alterations could be classified into four subtypes characterized by discrete signatures of network dysfunction. Our findings show that etiological variability is a key determinant of connectivity heterogeneity in ASD, hence reconciling conflicting findings in clinical populations. The identification of etiologically-relevant connectivity subtypes could improve diagnostic label accuracy in the non-syndromic ASD population and paves the way for personalized treatment approaches.
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Affiliation(s)
- V Zerbi
- Neural Control of Movement Lab, ETH Zurich, Zurich, Switzerland
| | - M Pagani
- Functional Neuroimaging Lab, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy
| | - M Markicevic
- Neural Control of Movement Lab, ETH Zurich, Zurich, Switzerland
| | - M Matteoli
- Laboratory of Pharmacology and Brain Pathology, Neurocenter, Humanitas Clinical and Research Center - IRCCS, Rozzano, Mi, Italy
- CNR Institute of Neuroscience, Milano, Italy
| | - D Pozzi
- Laboratory of Pharmacology and Brain Pathology, Neurocenter, Humanitas Clinical and Research Center - IRCCS, Rozzano, Mi, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - M Fagiolini
- F.M. Kirby Neurobiology Department, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Y Bozzi
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - A Galbusera
- Functional Neuroimaging Lab, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy
| | - M L Scattoni
- Research Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy
| | - G Provenzano
- Department of Cellular, Computational and Integrative Biology. (CIBIO), University of Trento, Trento, Italy
| | - A Banerjee
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - F Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - M A Basson
- Centre for Craniofacial and Regenerative Biology, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College, London, London, UK
| | - J Ellegood
- Mouse Imaging Ctr., Hosp. For Sick Children, Toronto, ON, Canada
| | - J P Lerch
- Mouse Imaging Ctr., Hosp. For Sick Children, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - M Rudin
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - A Gozzi
- Functional Neuroimaging Lab, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy.
| | - N Wenderoth
- Neural Control of Movement Lab, ETH Zurich, Zurich, Switzerland
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46
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Creighton BA, Afriyie S, Ajit D, Casingal CR, Voos KM, Reger J, Burch AM, Dyne E, Bay J, Huang JK, Anton ES, Fu MM, Lorenzo DN. Giant ankyrin-B mediates transduction of axon guidance and collateral branch pruning factor sema 3A. eLife 2021; 10:69815. [PMID: 34812142 PMCID: PMC8610419 DOI: 10.7554/elife.69815] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 11/04/2021] [Indexed: 01/19/2023] Open
Abstract
Variants in the high confident autism spectrum disorder (ASD) gene ANK2 target both ubiquitously expressed 220 kDa ankyrin-B and neurospecific 440 kDa ankyrin-B (AnkB440) isoforms. Previous work showed that knock-in mice expressing an ASD-linked Ank2 variant yielding a truncated AnkB440 product exhibit ectopic brain connectivity and behavioral abnormalities. Expression of this variant or loss of AnkB440 caused axonal hyperbranching in vitro, which implicated AnkB440 microtubule bundling activity in suppressing collateral branch formation. Leveraging multiple mouse models, cellular assays, and live microscopy, we show that AnkB440 also modulates axon collateral branching stochastically by reducing the number of F-actin-rich branch initiation points. Additionally, we show that AnkB440 enables growth cone (GC) collapse in response to chemorepellent factor semaphorin 3 A (Sema 3 A) by stabilizing its receptor complex L1 cell adhesion molecule/neuropilin-1. ASD-linked ANK2 variants failed to rescue Sema 3A-induced GC collapse. We propose that impaired response to repellent cues due to AnkB440 deficits leads to axonal targeting and branch pruning defects and may contribute to the pathogenicity of ANK2 variants.
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Affiliation(s)
- Blake A Creighton
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Simone Afriyie
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Deepa Ajit
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Cristine R Casingal
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.,Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Kayleigh M Voos
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Joan Reger
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, United States.,Department of Biology and Center for Cell Reprogramming, Georgetown University, Washington, United States
| | - April M Burch
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Eric Dyne
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, United States
| | - Julia Bay
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Jeffrey K Huang
- Department of Biology and Center for Cell Reprogramming, Georgetown University, Washington, United States
| | - E S Anton
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.,Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Meng-Meng Fu
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, United States
| | - Damaris N Lorenzo
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.,Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, United States.,Carolina Institute for Developmental Disabilities, Chapel Hill, United States
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47
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Li D, Liu C, Huang Z, Li H, Xu Q, Zhou B, Hu C, Zhang Y, Wang Y, Nie J, Qiao Z, Yin D, Xu X. Common and Distinct Disruptions of Cortical Surface Morphology Between Autism Spectrum Disorder Children With and Without SHANK3 Deficiency. Front Neurosci 2021; 15:751364. [PMID: 34776852 PMCID: PMC8581670 DOI: 10.3389/fnins.2021.751364] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022] Open
Abstract
SH3 and Multiple Ankyrin Repeat Domains 3 (SHANK3)-caused autism spectrum disorder (ASD) may present a unique opportunity to clarify the heterogeneous neuropathological mechanisms of ASD. However, the specificity and commonality of disrupted large-scale brain organization in SHANK3-deficient children remain largely unknown. The present study combined genetic tests, neurobehavioral evaluations, and magnetic resonance imaging, aiming to explore the disruptions of both local and networked cortical structural organization in ASD children with and without SHANK3 deficiency. Multiple surface morphological parameters such as cortical thickness (CT) and sulcus depth were estimated, and the graph theory was adopted to characterize the topological properties of structural covariance networks (SCNs). Finally, a correlation analysis between the alterations in brain morphological features and the neurobehavioral evaluations was performed. Compared with typically developed children, increased CT and reduced nodal degree were found in both ASD children with and without SHANK3 defects mainly in the lateral temporal cortex, prefrontal cortex (PFC), temporo-parietal junction (TPJ), superior temporal gyrus (STG), and limbic/paralimbic regions. Besides commonality, our findings showed some distinct abnormalities in ASD children with SHANK3 defects compared to those without. Locally, more changes in the STG and orbitofrontal cortex were exhibited in ASD children with SHANK3 defects, while more changes in the TPJ and inferior parietal lobe (IPL) in those without SHANK3 defects were observed. For the SCNs, a trend toward regular network topology was observed in ASD children with SHANK3 defects, but not in those without. In addition, ASD children with SHANK3 defects showed more alterations of nodal degrees in the anterior and posterior cingulate cortices and right insular, while there were more disruptions in the sensorimotor areas and the left insular and dorsomedial PFC in ASD without SHANK3 defects. Our findings indicate dissociable disruptions of local and networked brain morphological features in ASD children with and without SHANK3 deficiency. Moreover, this monogenic study may provide a valuable path for parsing the heterogeneity of brain disturbances in ASD.
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Affiliation(s)
- Dongyun Li
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Chunxue Liu
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Ziyi Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, Affiliated Mental Health Center, East China Normal University, Shanghai, China.,School of Psychology, South China Normal University, Guangzhou, China
| | - Huiping Li
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Qiong Xu
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Bingrui Zhou
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Chunchun Hu
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Ying Zhang
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Yi Wang
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
| | - Jingxin Nie
- School of Psychology, South China Normal University, Guangzhou, China
| | - Zhongwei Qiao
- Department of Radiology, Children's Hospital of Fudan University, Shanghai, China
| | - Dazhi Yin
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, Affiliated Mental Health Center, East China Normal University, Shanghai, China
| | - Xiu Xu
- Department of Child Health Care, Children's Hospital of Fudan University, Shanghai, China
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48
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Lepping RJ, McKinney WS, Magnon GC, Keedy SK, Wang Z, Coombes SA, Vaillancourt DE, Sweeney JA, Mosconi MW. Visuomotor brain network activation and functional connectivity among individuals with autism spectrum disorder. Hum Brain Mapp 2021; 43:844-859. [PMID: 34716740 PMCID: PMC8720186 DOI: 10.1002/hbm.25692] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 09/08/2021] [Accepted: 10/12/2021] [Indexed: 12/26/2022] Open
Abstract
Sensorimotor abnormalities are common in autism spectrum disorder (ASD) and predictive of functional outcomes, though their neural underpinnings remain poorly understood. Using functional magnetic resonance imaging, we examined both brain activation and functional connectivity during visuomotor behavior in 27 individuals with ASD and 30 typically developing (TD) controls (ages 9–35 years). Participants maintained a constant grip force while receiving visual feedback at three different visual gain levels. Relative to controls, ASD participants showed increased force variability, especially at high gain, and reduced entropy. Brain activation was greater in individuals with ASD than controls in supplementary motor area, bilateral superior parietal lobules, and contralateral middle frontal gyrus at high gain. During motor action, functional connectivity was reduced between parietal‐premotor and parietal‐putamen in individuals with ASD compared to controls. Individuals with ASD also showed greater age‐associated increases in functional connectivity between cerebellum and visual, motor, and prefrontal cortical areas relative to controls. These results indicate that visuomotor deficits in ASD are associated with atypical activation and functional connectivity of posterior parietal, premotor, and striatal circuits involved in translating sensory feedback information into precision motor behaviors, and that functional connectivity of cerebellar–cortical sensorimotor and nonsensorimotor networks show delayed maturation.
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Affiliation(s)
- Rebecca J Lepping
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Walker S McKinney
- Schiefelbusch Institute for Life Span Studies, Clinical Child Psychology Program, and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, Kansas, USA
| | - Grant C Magnon
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - Zheng Wang
- Department of Occupational Therapy, University of Florida, Gainesville, Florida, USA.,Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - Stephen A Coombes
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Matthew W Mosconi
- Schiefelbusch Institute for Life Span Studies, Clinical Child Psychology Program, and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, Kansas, USA
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49
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Pagani M, Barsotti N, Bertero A, Trakoshis S, Ulysse L, Locarno A, Miseviciute I, De Felice A, Canella C, Supekar K, Galbusera A, Menon V, Tonini R, Deco G, Lombardo MV, Pasqualetti M, Gozzi A. mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity. Nat Commun 2021; 12:6084. [PMID: 34667149 PMCID: PMC8526836 DOI: 10.1038/s41467-021-26131-z] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 09/17/2021] [Indexed: 11/24/2022] Open
Abstract
Postmortem studies have revealed increased density of excitatory synapses in the brains of individuals with autism spectrum disorder (ASD), with a putative link to aberrant mTOR-dependent synaptic pruning. ASD is also characterized by atypical macroscale functional connectivity as measured with resting-state fMRI (rsfMRI). These observations raise the question of whether excess of synapses causes aberrant functional connectivity in ASD. Using rsfMRI, electrophysiology and in silico modelling in Tsc2 haploinsufficient mice, we show that mTOR-dependent increased spine density is associated with ASD -like stereotypies and cortico-striatal hyperconnectivity. These deficits are completely rescued by pharmacological inhibition of mTOR. Notably, we further demonstrate that children with idiopathic ASD exhibit analogous cortical-striatal hyperconnectivity, and document that this connectivity fingerprint is enriched for ASD-dysregulated genes interacting with mTOR or Tsc2. Finally, we show that the identified transcriptomic signature is predominantly expressed in a subset of children with autism, thereby defining a segregable autism subtype. Our findings causally link mTOR-related synaptic pathology to large-scale network aberrations, revealing a unifying multi-scale framework that mechanistically reconciles developmental synaptopathy and functional hyperconnectivity in autism.
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Affiliation(s)
- Marco Pagani
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Autism Center, Child Mind Institute, New York, NY, USA
| | - Noemi Barsotti
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Alice Bertero
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Stavros Trakoshis
- Department of Psychology, University of Cyprus, Nicosia, Cyprus
- Laboratory for Autism and Neurodevelopmental Disorders, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | - Laura Ulysse
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Barcelona, Spain
| | - Andrea Locarno
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Ieva Miseviciute
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Alessia De Felice
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | - Carola Canella
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | | | - Alberto Galbusera
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | | | - Raffaella Tonini
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Barcelona, Spain
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Massimo Pasqualetti
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Alessandro Gozzi
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy.
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50
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Zhang Z, Gibson JR, Huber KM. Experience-dependent weakening of callosal synaptic connections in the absence of postsynaptic FMRP. eLife 2021; 10:71555. [PMID: 34617509 PMCID: PMC8526058 DOI: 10.7554/elife.71555] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/06/2021] [Indexed: 12/18/2022] Open
Abstract
Reduced structural and functional interhemispheric connectivity correlates with the severity of Autism Spectrum Disorder (ASD) behaviors in humans. Little is known of how ASD-risk genes regulate callosal connectivity. Here, we show that Fmr1, whose loss-of-function leads to Fragile X Syndrome (FXS), cell autonomously promotes maturation of callosal excitatory synapses between somatosensory barrel cortices in mice. Postnatal, cell-autonomous deletion of Fmr1 in postsynaptic Layer (L) 2/3 or L5 neurons results in a selective weakening of AMPA receptor- (R), but not NMDA receptor-, mediated callosal synaptic function, indicative of immature synapses. Sensory deprivation by contralateral whisker trimming normalizes callosal input strength, suggesting that experience-driven activity of postsynaptic Fmr1 KO L2/3 neurons weakens callosal synapses. In contrast to callosal inputs, synapses originating from local L4 and L2/3 circuits are normal, revealing an input-specific role for postsynaptic Fmr1 in regulation of synaptic connectivity within local and callosal neocortical circuits. These results suggest direct cell autonomous and postnatal roles for FMRP in development of specific cortical circuits and suggest a synaptic basis for long-range functional underconnectivity observed in FXS patients.
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Affiliation(s)
- Zhe Zhang
- Department of Neuroscience, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States
| | - Jay R Gibson
- Department of Neuroscience, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States
| | - Kimberly M Huber
- Department of Neuroscience, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States
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