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Mediane DH, Basu S, Cahill EN, Anastasiades PG. Medial prefrontal cortex circuitry and social behaviour in autism. Neuropharmacology 2024; 260:110101. [PMID: 39128583 DOI: 10.1016/j.neuropharm.2024.110101] [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] [Received: 04/15/2024] [Revised: 07/22/2024] [Accepted: 08/05/2024] [Indexed: 08/13/2024]
Abstract
Autism spectrum disorder (ASD) has proven to be highly enigmatic due to the diversity of its underlying genetic causes and the huge variability in symptom presentation. Uncovering common phenotypes across people with ASD and pre-clinical models allows us to better understand the influence on brain function of the many different genetic and cellular processes thought to contribute to ASD aetiology. One such feature of ASD is the convergent evidence implicating abnormal functioning of the medial prefrontal cortex (mPFC) across studies. The mPFC is a key part of the 'social brain' and may contribute to many of the changes in social behaviour observed in people with ASD. Here we review recent evidence for mPFC involvement in both ASD and social behaviours. We also highlight how pre-clinical mouse models can be used to uncover important cellular and circuit-level mechanisms that may underly atypical social behaviours in ASD. This article is part of the Special Issue on "PFC circuit function in psychiatric disease and relevant models".
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Affiliation(s)
- Diego H Mediane
- Department of Translational Health Sciences, University of Bristol, Dorothy Hodgkin Building, Whitson Street, Bristol, BS1 3NY, United Kingdom
| | - Shinjini Basu
- Department of Translational Health Sciences, University of Bristol, Dorothy Hodgkin Building, Whitson Street, Bristol, BS1 3NY, United Kingdom
| | - Emma N Cahill
- Department of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, United Kingdom
| | - Paul G Anastasiades
- Department of Translational Health Sciences, University of Bristol, Dorothy Hodgkin Building, Whitson Street, Bristol, BS1 3NY, United Kingdom.
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2
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Fischer I, Shohat S, Leichtmann-Bardoogo Y, Nayak R, Wiener G, Rosh I, Shemen A, Tripathi U, Rokach M, Bar E, Hussein Y, Castro AC, Chen G, Soffer A, Schokoroy-Trangle S, Elad-Sfadia G, Assaf Y, Schroeder A, Monteiro P, Stern S, Maoz BM, Barak B. Shank3 mutation impairs glutamate signaling and myelination in ASD mouse model and human iPSC-derived OPCs. SCIENCE ADVANCES 2024; 10:eadl4573. [PMID: 39392881 PMCID: PMC11468907 DOI: 10.1126/sciadv.adl4573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 09/06/2024] [Indexed: 10/13/2024]
Abstract
Autism spectrum disorder (ASD) is characterized by social and neurocognitive impairments, with mutations of the SHANK3 gene being prominent in patients with monogenic ASD. Using the InsG3680 mouse model with a Shank3 mutation seen in humans, we revealed an unknown role for Shank3 in postsynaptic oligodendrocyte (OL) features, similar to its role in neurons. This was shown by impaired molecular and physiological glutamatergic traits of InsG3680-derived primary OL cultures. In vivo, InsG3680 mice exhibit significant reductions in the expression of key myelination-related transcripts and proteins, along with deficits in myelin ultrastructure, white matter, axonal conductivity, and motor skills. Last, we observed significant impairments, with clinical relevance, in induced pluripotent stem cell-derived OLs from a patient with the InsG3680 mutation. Together, our study provides insight into Shank3's role in OLs and reveals a mechanism of the crucial connection of myelination to ASD pathology.
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Affiliation(s)
- Inbar Fischer
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Sophie Shohat
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
- The School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yael Leichtmann-Bardoogo
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Ritu Nayak
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Gal Wiener
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Idan Rosh
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Aviram Shemen
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Utkarsh Tripathi
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - May Rokach
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Ela Bar
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
- The School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yara Hussein
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Ana Carolina Castro
- Department of Biomedicine-Experimental Biology Unit, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
| | - Gal Chen
- The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion, Haifa, Israel
- The Interdisciplinary Program for Biotechnology, Technion, Haifa, Israel
| | - Adi Soffer
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Sari Schokoroy-Trangle
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Galit Elad-Sfadia
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yaniv Assaf
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- The School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- The Strauss Center for Neuroimaging, Tel Aviv University, Tel Aviv, Israel
| | - Avi Schroeder
- The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion, Haifa, Israel
| | - Patricia Monteiro
- Department of Biomedicine-Experimental Biology Unit, Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal
| | - Shani Stern
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Ben M Maoz
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- The Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv, Israel
- Sagol Center for Regenerative Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Boaz Barak
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- The School of Psychological Sciences, Faculty of Social Sciences, Tel Aviv University, Tel Aviv, Israel
- The School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
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3
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Matuskey D, Yang Y, Naganawa M, Koohsari S, Toyonaga T, Gravel P, Pittman B, Torres K, Pisani L, Finn C, Cramer-Benjamin S, Herman N, Rosenthal LH, Franke CJ, Walicki BM, Esterlis I, Skosnik P, Radhakrishnan R, Wolf JM, Nabulsi N, Ropchan J, Huang Y, Carson RE, Naples AJ, McPartland JC. 11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults. Mol Psychiatry 2024:10.1038/s41380-024-02776-2. [PMID: 39367053 DOI: 10.1038/s41380-024-02776-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 09/23/2024] [Accepted: 09/30/2024] [Indexed: 10/06/2024]
Abstract
The neural bases of autism are poorly understood at the molecular level, but evidence from animal models, genetics, post-mortem studies, and single-gene disorders implicate synaptopathology. Here, we use positron emission tomography (PET) to assess the density of synapses with synaptic vesicle glycoprotein 2A (SV2A) in autistic adults using 11C-UCB-J. Twelve autistic (mean (SD) age 25 (4) years; six males), and twenty demographically matched non-autistic individuals (26 (3) years; eleven males) participated in a 11C-UCB-J PET scan. Binding potential, BPND, was the primary outcome measure and computed with the centrum semiovale as the reference region. Partial volume correction with Iterative Yang was applied to control for possible volumetric differences. Mixed-model statistics were calculated for between-group differences. Relationships to clinical characteristics were evaluated based on clinician ratings of autistic features. Whole cortex synaptic density was 17% lower in the autism group (p = 0.01). All brain regions in autism had lower 11C-UCB-J BPND compared to non-autistic participants. This effect was evident in all brain regions implicated in autism. Significant differences were observed across multiple individual regions, including the prefrontal cortex (-15%, p = 0.02), with differences most pronounced in gray matter (p < 0.0001). Synaptic density was significantly associated with clinical measures across the whole cortex (r = 0.67, p = 0.02) and multiple regions (rs = -0.58 to -0.82, ps = 0.05 to <0.01). The first in vivo investigation of synaptic density in autism with PET reveals pervasive and large-scale lower density in the cortex and across multiple brain areas. Synaptic density also correlated with clinical features, such that a greater number of autistic features were associated with lower synaptic density. These results indicate that brain-wide synaptic density may represent an as-yet-undiscovered molecular basis for the clinical phenotype of autism and associated pervasive alterations across a diversity of neural processes.
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Affiliation(s)
- David Matuskey
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Department of Neurology, Yale University, New Haven, CT, USA.
- Center for Brain and Mind Health, Yale University, New Haven, CT, USA.
| | - Yanghong Yang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Mika Naganawa
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Sheida Koohsari
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Takuya Toyonaga
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Paul Gravel
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Brian Pittman
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Kristen Torres
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Lauren Pisani
- Child Study Center, Yale University, New Haven, CT, USA
| | - Caroline Finn
- Child Study Center, Yale University, New Haven, CT, USA
| | | | - Nicole Herman
- Child Study Center, Yale University, New Haven, CT, USA
| | | | | | | | - Irina Esterlis
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Patrick Skosnik
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Rajiv Radhakrishnan
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Julie M Wolf
- Child Study Center, Yale University, New Haven, CT, USA
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Jim Ropchan
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Yiyun Huang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Adam J Naples
- Center for Brain and Mind Health, Yale University, New Haven, CT, USA
- Child Study Center, Yale University, New Haven, CT, USA
| | - James C McPartland
- Center for Brain and Mind Health, Yale University, New Haven, CT, USA.
- Child Study Center, Yale University, New Haven, CT, USA.
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4
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Megari K, Frantzezou CK, Polyzopoulou ZA, Tzouni SK. Neurocognitive features in childhood & adulthood in autism spectrum disorder: A neurodiversity approach. Int J Dev Neurosci 2024; 84:471-499. [PMID: 38953464 DOI: 10.1002/jdn.10356] [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] [Received: 04/20/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 07/04/2024] Open
Abstract
OBJECTIVES Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a diverse profile of cognitive functions. Heterogeneity is observed among both baseline and comorbid features concerning the diversity of neuropathology in autism. Symptoms vary depending on the developmental stage, level of severity, or comorbidity with other medical or psychiatric diagnoses such as intellectual disability, epilepsy, and anxiety disorders. METHOD The neurodiversity movement does not face variations in neurological and cognitive development in ASD as deficits but as normal non-pathological human variations. Thus, ASD is not identified as a neurocognitive pathological disorder that deviates from the typical, but as a neuro-individuality, a normal manifestation of a neurobiological variation within the population. RESULTS In this light, neurodiversity is described as equivalent to any other human variation, such as ethnicity, gender, or sexual orientation. This review will provide insights about the neurodiversity approach in children and adults with ASD. Using a neurodiversity approach can be helpful when working with children who have autism spectrum disorder (ASD). DISCUSSION This method acknowledges and values the various ways that people with ASD interact with one another and experience the world in order to embrace the neurodiversity approach when working with children with ASD.
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Affiliation(s)
- Kalliopi Megari
- Department of Psychology, CITY College, University of York, Europe Campus, Thessaloniki, Greece
| | | | - Zoi A Polyzopoulou
- Department of Psychology, University of Western Macedonia, Florina, Greece
| | - Stella K Tzouni
- Department of Psychology, University of Western Macedonia, Florina, Greece
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5
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Horata E, Ay H, Aslan D. Autistic-like behaviour and changes in thalamic cell numbers a rat model of valproic acid-induced autism; A behavioural and stereological study. Brain Res 2024; 1840:149047. [PMID: 38823508 DOI: 10.1016/j.brainres.2024.149047] [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] [Received: 03/16/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
The contribution of the thalamus to the development and behavioural changes in autism spectrum disorders (ASD), a neurodevelopmental syndrome, remains unclear. The aim of this study was to determine the changes in thalamic volume and cell number in the valproic acid (VPA)-induced ASD model using stereological methods and to clarify the relationship between thalamus and ASD-like behaviour. Ten pregnant rats were administered a single dose (600 mg/kg) of VPA intraperitoneally on G12.5 (VPA group), while five pregnant rats were injected with 5 ml saline (control group). Behavioural tests were performed to determine appropriate subjects and ASD-like behaviours. At P55, the brains of the subjects were removed. The sagittal sections were stained with cresyl violet and toluidine blue. The thalamic and hemispheric volumes with their ratios, the total number of thalamic cells, neurons and non-neuronal cells were calculated using stereological methods. Data were compared using a t-test and a Pearson correlation analysis was performed to examine the relationship between behaviour and stereological outcomes. VPA-treated rats had lower sociability and sociability indexes. There was no difference in social novelty preference and anxiety. The VPA group had larger hemispheric volume, lower thalamic volume, and fewer neurons. The highest percentage decrease was in non-neuronal cells. There was a moderate positive correlation between the number of non-neuronal cells and sociability, thalamic volume and the number of neurons as well as the time spent in the light box. The correlation between behaviour and stereological data suggests that the thalamus is associated with ASD-like behaviour.
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Affiliation(s)
- Erdal Horata
- Orthopedic Prosthesis Orthotics, Atatürk Health Services Vocational School, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
| | - Hakan Ay
- Department of Anatomy, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir, Turkey
| | - Duygu Aslan
- Department of Anatomy, Faculty of Medicine, Kafkas University, Kars, Turkey
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6
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Liu X, Hasan MR, Gedeon T, Hossain MZ. MADE-for-ASD: A multi-atlas deep ensemble network for diagnosing Autism Spectrum Disorder. Comput Biol Med 2024; 182:109083. [PMID: 39232404 DOI: 10.1016/j.compbiomed.2024.109083] [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: 02/11/2024] [Revised: 08/22/2024] [Accepted: 08/28/2024] [Indexed: 09/06/2024]
Abstract
In response to the global need for efficient early diagnosis of Autism Spectrum Disorder (ASD), this paper bridges the gap between traditional, time-consuming diagnostic methods and potential automated solutions. We propose a multi-atlas deep ensemble network, MADE-for-ASD, that integrates multiple atlases of the brain's functional magnetic resonance imaging (fMRI) data through a weighted deep ensemble network. Our approach integrates demographic information into the prediction workflow, which enhances ASD diagnosis performance and offers a more holistic perspective on patient profiling. We experiment with the well-known publicly available ABIDE (Autism Brain Imaging Data Exchange) I dataset, consisting of resting state fMRI data from 17 different laboratories around the globe. Our proposed system achieves 75.20% accuracy on the entire dataset and 96.40% on a specific subset - both surpassing reported ASD diagnosis accuracy in ABIDE I fMRI studies. Specifically, our model improves by 4.4 percentage points over prior works on the same amount of data. The model exhibits a sensitivity of 82.90% and a specificity of 69.70% on the entire dataset, and 91.00% and 99.50%, respectively, on the specific subset. We leverage the F-score to pinpoint the top 10 ROI in ASD diagnosis, such as precuneus and anterior cingulate/ventromedial. The proposed system can potentially pave the way for more cost-effective, efficient and scalable strategies in ASD diagnosis. Codes and evaluations are publicly available at https://github.com/hasan-rakibul/MADE-for-ASD.
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Affiliation(s)
- Xuehan Liu
- Australian National University, Canberra, ACT, 2601, Australia.
| | - Md Rakibul Hasan
- Curtin University, Bentley, WA, 6102, Australia; BRAC University, Dhaka, 1212, Bangladesh.
| | - Tom Gedeon
- Curtin University, Bentley, WA, 6102, Australia; Obuda University, Budapest, 1034, Hungary.
| | - Md Zakir Hossain
- Australian National University, Canberra, ACT, 2601, Australia; Curtin University, Bentley, WA, 6102, Australia.
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Ding N, Fu L, Qian L, Sun B, Li C, Gao H, Lei T, Ke X. The correlation between brain structure characteristics and emotion regulation ability in children at high risk of autism spectrum disorder. Eur Child Adolesc Psychiatry 2024; 33:3247-3262. [PMID: 38402375 DOI: 10.1007/s00787-024-02369-y] [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: 08/14/2023] [Accepted: 01/08/2024] [Indexed: 02/26/2024]
Abstract
As indicated by longitudinal observation, autism has difficulty controlling emotions to a certain extent in early childhood, and most children's emotional and behavioral problems are further aggravated with the growth of age. This study aimed at exploring the correlation between white matter and white matter fiber bundle connectivity characteristics and their emotional regulation ability in children with autism using machine learning methods, which can lay an empirical basis for early clinical intervention of autism. Fifty-five high risk of autism spectrum disorder (HR-ASD) children and 52 typical development (TD) children were selected to complete the skull 3D-T1 structure and diffusion tensor imaging (DTI). The emotional regulation ability of the two groups was compared using the still-face paradigm (SFP). The classification and regression models of white matter characteristics and white matter fiber bundle connections of emotion regulation ability in the HR-ASD group were built based on the machine learning method. The volume of the right amygdala (R2 = 0.245) and the volume of the right hippocampus (R2 = 0.197) affected constructive emotion regulation strategies. FA (R2 = 0.32) and MD (R2 = 0.34) had the predictive effect on self-stimulating behaviour. White matter fiber bundle connection predicted constructive regulation strategies (positive edging R2 = 0.333, negative edging R2 = 0.334) and mother-seeking behaviors (positive edging R2 = 0.667, negative edging R2 = 0.363). The emotional regulation ability of HR-ASD children is significantly correlated with the connections of multiple white matter fiber bundles, which is a potential neuro-biomarker of emotional regulation ability.
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Affiliation(s)
- Ning Ding
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
- Qingdao Women and Children' s Hospital, Qingdao University, Qingdao, 266011, China
| | - Linyan Fu
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Lu Qian
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Bei Sun
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Chunyan Li
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Huiyun Gao
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Tianyu Lei
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xiaoyan Ke
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Taddei M, Cuesta P, Annunziata S, Bulgheroni S, Esposito S, Visani E, Granvillano A, Dotta S, Rossi DS, Panzica F, Franceschetti S, Varotto G, Riva D. Correlation between autistic traits and brain functional connectivity in preschoolers with autism spectrum disorder: a resting state MEG study. Neurol Sci 2024; 45:4549-4561. [PMID: 38639894 DOI: 10.1007/s10072-024-07528-2] [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] [Received: 12/07/2023] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Neurophysiological studies recognized that Autism Spectrum Disorder (ASD) is associated with altered patterns of over- and under-connectivity. However, little is known about network organization in children with ASD in the early phases of development and its correlation with the severity of core autistic features. METHODS The present study aimed at investigating the association between brain connectivity derived from MEG signals and severity of ASD traits measured with different diagnostic clinical scales, in a sample of 16 children with ASD aged 2 to 6 years. RESULTS A significant correlation emerged between connectivity strength in cortical brain areas implicated in several resting state networks (Default mode, Central executive, Salience, Visual and Sensorimotor) and the severity of communication anomalies, social interaction problems, social affect problems, and repetitive behaviors. Seed analysis revealed that this pattern of correlation was mainly caused by global rather than local effects. CONCLUSIONS The present evidence suggests that altered connectivity strength in several resting state networks is related to clinical features and may contribute to neurofunctional correlates of ASD. Future studies implementing the same method on a wider and stratified sample may further support functional connectivity as a possible biomarker of the condition.
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Affiliation(s)
- Matilde Taddei
- Unit for Neurogenetic Syndromes With Intellectual Disabilities and Autism Spectrum Disorders, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Pablo Cuesta
- Department of Radiology, Rehabilitation, and Physiotherapy, Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
| | - Silvia Annunziata
- Unit for Neurogenetic Syndromes With Intellectual Disabilities and Autism Spectrum Disorders, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
- Fondazione Don Carlo Gnocchi Onlus-IRCCS S. Maria Nascente, Via Capecelatro 66, 20148, Milan, Italy
| | - Sara Bulgheroni
- Unit for Neurogenetic Syndromes With Intellectual Disabilities and Autism Spectrum Disorders, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Silvia Esposito
- Unit for Neurogenetic Syndromes With Intellectual Disabilities and Autism Spectrum Disorders, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Elisa Visani
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Alice Granvillano
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Sara Dotta
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Davide Sebastiano Rossi
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Ferruccio Panzica
- Clinical Engineering Service, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Silvana Franceschetti
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Giulia Varotto
- Neurophysiopathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy.
- Epilepsy Unit, Bioengineering Group, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
- Laboratory for Clinical Neuroscience, Center for Biomedical Technology, University Politécnica de Madrid, Madrid, Spain.
| | - Daria Riva
- Unit for Neurogenetic Syndromes With Intellectual Disabilities and Autism Spectrum Disorders, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
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9
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Kroupi E, Jh Jones E, Oakley B, Buitelaar J, Charman T, Loth E, Murphy D, Soria-Frisch A. Age-related differences in delta-beta phase-amplitude coupling in autistic individuals. Clin Neurophysiol 2024; 167:74-83. [PMID: 39303390 DOI: 10.1016/j.clinph.2024.08.010] [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: 02/06/2024] [Revised: 07/19/2024] [Accepted: 08/12/2024] [Indexed: 09/22/2024]
Abstract
OBJECTIVE We aim to investigate the relationship between the core symptoms of autism, anxiety levels, and attention deficit hyperactivity disorder (ADHD) traits, and a non-autism-specific, neurophysiological metric, the Delta-Beta phase-amplitude coupling (PAC), extracted from the resting-state EEG for autistic and non-autistic populations across three different age groups (children, adolescents, and adults). METHODS We analyze the eyes-open resting-state EEG of 371 individuals. We applied a phase de-biasing PAC algorithm expected to result in a more accurate PAC estimate than other PAC methodologies available in the literature. RESULTS In the adult group, we found a significant increase of the delta-beta PAC in the autistic subgroup who met the Autism Diagnostic Observation Schedule-2 (ADOS-2) Autism Diagnostic Interview-Revised (ADR-R) ADOS-2/ADI-R threshold compared to non-autistic individuals. The differences seem age-specific since we found no statistically significant differences in the children and adolescent populations. Moreover, we found a significant positive correlation with the restricted and repetitive behaviours score of the ADOS-2 diagnostic instrument and with ADHD hyperactivity/impulsivity in the entire autistic cohort. CONCLUSIONS The neurophysiological differences we found only in the autistic individuals that meet the thresholds also point out the need for future studies that look for autistic neurodiverse subgroups beyond age. SIGNIFICANCE The delta-beta debiasing PAC (dPAC) may potentially serve as a severity biomarker in the autistic population.
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Affiliation(s)
- Eleni Kroupi
- Starlab Barcelona SL, Neuroscience BU, Barcelona, Spain.
| | - Emily Jh Jones
- Birkbeck, Centre for Brain & Cognitive Development, London, United Kingdom
| | - Bethany Oakley
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, The Netherlands
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Declan Murphy
- King's College London, Head of Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, London, United Kingdom
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10
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Blum K, Bowirrat A, Sunder K, Thanos PK, Hanna C, Gold MS, Dennen CA, Elman I, Murphy KT, Makale MT. Dopamine Dysregulation in Reward and Autism Spectrum Disorder. Brain Sci 2024; 14:733. [PMID: 39061473 PMCID: PMC11274922 DOI: 10.3390/brainsci14070733] [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: 05/31/2024] [Revised: 07/09/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Autism spectrum disorder (ASD) is primarily characterized by core deficits in social skills, communication, and cognition and by repetitive stereotyped behaviors. These manifestations are variable between individuals, and ASD pathogenesis is complex, with over a thousand implicated genes, many epigenetic factors, and multiple environmental influences. The mesolimbic dopamine (DA) mediated brain reward system is held to play a key role, but the rapidly expanding literature reveals intricate, nuanced signaling involving a wide array of mesolimbic loci, neurotransmitters and receptor subtypes, and neuronal variants. How altered DA signaling may constitute a downstream convergence of the manifold causal origins of ASD is not well understood. A clear working framework of ASD pathogenesis may help delineate common stages and potential diagnostic and interventional opportunities. Hence, we summarize the known natural history of ASD in the context of emerging data and perspectives to update ASD reward signaling. Then, against this backdrop, we proffer a provisional framework that organizes ASD pathogenesis into successive levels, including (1) genetic and epigenetic changes, (2) disrupted mesolimbic reward signaling pathways, (3) dysregulated neurotransmitter/DA signaling, and finally, (4) altered neurocognitive and social behavior and possible antagonist/agonist based ASD interventions. This subdivision of ASD into a logical progression of potentially addressable parts may help facilitate the rational formulation of diagnostics and targeted treatments.
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Affiliation(s)
- Kenneth Blum
- Division of Addiction Research & Education, Center for Exercise Sports, Mental Health, Western University of Health Sciences, Pomona, CA 91766, USA
- Sunder Foundation, Palm Springs, CA 92264, USA
- Division of Personalized Neuromodulations, PeakLogic, LLC, Del Mar, CA 92130, USA
| | - Abdalla Bowirrat
- Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel
| | | | - Panayotis K. Thanos
- Department of Pharmacology and Toxicology, State University of New York, SUNY, Buffalo, NY 14215, USA
| | - Colin Hanna
- Department of Pharmacology and Toxicology, State University of New York, SUNY, Buffalo, NY 14215, USA
| | - Mark S. Gold
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Catherine A. Dennen
- Department of Family Medicine, Jefferson Health Northeast, Philadelphia, PA 19145, USA
| | - Igor Elman
- Department of Psychiatry, Harvard University School of Medicine, Cambridge, MA 02215, USA
| | - Kevin T. Murphy
- Division of Personalized Neuromodulations, PeakLogic, LLC, Del Mar, CA 92130, USA
| | - Milan T. Makale
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92093, USA
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11
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Le Belle JE, Condro M, Cepeda C, Oikonomou KD, Tessema K, Dudley L, Schoenfield J, Kawaguchi R, Geschwind D, Silva AJ, Zhang Z, Shokat K, Harris NG, Kornblum HI. Acute rapamycin treatment reveals novel mechanisms of behavioral, physiological, and functional dysfunction in a maternal inflammation mouse model of autism and sensory over-responsivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.08.602602. [PMID: 39026891 PMCID: PMC11257517 DOI: 10.1101/2024.07.08.602602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Maternal inflammatory response (MIR) during early gestation in mice induces a cascade of physiological and behavioral changes that have been associated with autism spectrum disorder (ASD). In a prior study and the current one, we find that mild MIR results in chronic systemic and neuro-inflammation, mTOR pathway activation, mild brain overgrowth followed by regionally specific volumetric changes, sensory processing dysregulation, and social and repetitive behavior abnormalities. Prior studies of rapamycin treatment in autism models have focused on chronic treatments that might be expected to alter or prevent physical brain changes. Here, we have focused on the acute effects of rapamycin to uncover novel mechanisms of dysfunction and related to mTOR pathway signaling. We find that within 2 hours, rapamycin treatment could rapidly rescue neuronal hyper-excitability, seizure susceptibility, functional network connectivity and brain community structure, and repetitive behaviors and sensory over-responsivity in adult offspring with persistent brain overgrowth. These CNS-mediated effects are also associated with alteration of the expression of several ASD-,ion channel-, and epilepsy-associated genes, in the same time frame. Our findings suggest that mTOR dysregulation in MIR offspring is a key contributor to various levels of brain dysfunction, including neuronal excitability, altered gene expression in multiple cell types, sensory functional network connectivity, and modulation of information flow. However, we demonstrate that the adult MIR brain is also amenable to rapid normalization of these functional changes which results in the rescue of both core and comorbid ASD behaviors in adult animals without requiring long-term physical alterations to the brain. Thus, restoring excitatory/inhibitory imbalance and sensory functional network modularity may be important targets for therapeutically addressing both primary sensory and social behavior phenotypes, and compensatory repetitive behavior phenotypes.
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12
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Liang ZK, Xiong W, Wang C, Chen L, Zou X, Mai JW, Dong B, Guo C, Xin WJ, Luo DX, Xu T, Feng X. Resolving neuroinflammatory and social deficits in ASD model mice: Dexmedetomidine downregulates NF-κB/IL-6 pathway via α2AR. Brain Behav Immun 2024; 119:84-95. [PMID: 38552922 DOI: 10.1016/j.bbi.2024.03.040] [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: 12/07/2023] [Revised: 03/12/2024] [Accepted: 03/26/2024] [Indexed: 04/05/2024] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely affects individuals' daily life and social development. Unfortunately, there are currently no effective treatments for ASD. Dexmedetomidine (DEX) is a selective agonist of α2 adrenergic receptor (α2AR) and is widely used as a first-line medication for sedation and hypnosis in clinical practice. In recent years, there have been reports suggesting its potential positive effects on improving emotional and cognitive functions. However, whether dexmedetomidine has therapeutic effects on the core symptoms of ASD, namely social deficits and repetitive behaviors, remains to be investigated. In the present study, we employed various behavioral tests to assess the phenotypes of animals, including the three-chamber, self-grooming, marble burying, open field, and elevated plus maze. Additionally, electrophysiological recordings, western blotting, qPCR were mainly used to investigate and validate the potential mechanisms underlying the role of dexmedetomidine. We found that intraperitoneal injection of dexmedetomidine in ASD model mice-BTBR T+ Itpr3tf/J (BTBR) mice could adaptively improve their social deficits. Further, we observed a significant reduction in c-Fos positive signals and interleukin-6 (IL-6) expression level in the prelimbic cortex (PrL) of the BTBR mice treated with dexmedetomidine. Enhancing or inhibiting the action of IL-6 directly affects the social behavior of BTBR mice. Mechanistically, we have found that NF-κB p65 is a key pathway regulating IL-6 expression in the PrL region. In addition, we have confirmed that the α2AR acts as a receptor switch mediating the beneficial effects of dexmedetomidine in improving social deficits. This study provides the first evidence of the beneficial effects of dexmedetomidine on core symptoms of ASD and offers a theoretical basis and potential therapeutic approach for the clinical treatment of ASD.
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Affiliation(s)
- Zheng-Kai Liang
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Wei Xiong
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Chen Wang
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Li Chen
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China
| | - Xin Zou
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China
| | - Jing-Wen Mai
- Department of Anesthesiology, Huizhou Central People's Hospital, Huizhou 516000, PR China
| | - Bo Dong
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China
| | - Chongqi Guo
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China
| | - Wen-Jun Xin
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China
| | - De-Xing Luo
- Department of Anesthesiology, Huizhou Central People's Hospital, Huizhou 516000, PR China.
| | - Ting Xu
- Neuroscience Program, Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, PR China.
| | - Xia Feng
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China.
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13
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Soumier A, Lio G, Demily C. Current and future applications of light-sheet imaging for identifying molecular and developmental processes in autism spectrum disorders. Mol Psychiatry 2024; 29:2274-2284. [PMID: 38443634 DOI: 10.1038/s41380-024-02487-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/07/2024]
Abstract
Autism spectrum disorder (ASD) is identified by a set of neurodevelopmental divergences that typically affect the social communication domain. ASD is also characterized by heterogeneous cognitive impairments and is associated with cooccurring physical and medical conditions. As behaviors emerge as the brain matures, it is particularly essential to identify any gaps in neurodevelopmental trajectories during early perinatal life. Here, we introduce the potential of light-sheet imaging for studying developmental biology and cross-scale interactions among genetic, cellular, molecular and macroscale levels of circuitry and connectivity. We first report the core principles of light-sheet imaging and the recent progress in studying brain development in preclinical animal models and human organoids. We also present studies using light-sheet imaging to understand the development and function of other organs, such as the skin and gastrointestinal tract. We also provide information on the potential of light-sheet imaging in preclinical drug development. Finally, we speculate on the translational benefits of light-sheet imaging for studying individual brain-body interactions in advancing ASD research and creating personalized interventions.
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Affiliation(s)
- Amelie Soumier
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France.
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France.
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France.
- University Claude Bernard Lyon 1, 43 boulevard du 11 Novembre 1918, 69622, Villeurbanne cedex, France.
| | - Guillaume Lio
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France
| | - Caroline Demily
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France
- University Claude Bernard Lyon 1, 43 boulevard du 11 Novembre 1918, 69622, Villeurbanne cedex, France
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14
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Tigga NP, Garg S, Goyal N, Raj J, Das B. Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network. Technol Health Care 2024:THC240550. [PMID: 38943414 DOI: 10.3233/thc-240550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
BACKGROUND Brain variations are responsible for developmental impairments, including autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by revealing crucial information about brain function abnormalities. OBJECTIVE This study aims to utilize EEG data collected from both autistic and typically developing children to investigate the potential of a Graph Convolutional Neural Network (GCNN) in predicting ASD based on neurological abnormalities revealed through EEG signals. METHODS In this study, EEG data were gathered from eight autistic children and eight typically developing children diagnosed using the Childhood Autism Rating Scale at the Central Institute of Psychiatry, Ranchi. EEG recording was done using a HydroCel GSN with 257 channels, and 71 channels with 10-10 international equivalents were utilized. Electrodes were divided into 12 brain regions. A GCNN was introduced for ASD prediction, preceded by autoregressive and spectral feature extraction. RESULTS The anterior-frontal brain region, crucial for cognitive functions like emotion, memory, and social interaction, proved most predictive of ASD, achieving 87.07% accuracy. This underscores the suitability of the GCNN method for EEG-based ASD detection. CONCLUSION The detailed dataset collected enhances understanding of the neurological basis of ASD, benefiting healthcare practitioners involved in ASD diagnosis.
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Affiliation(s)
- Neha Prerna Tigga
- Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India
| | - Shruti Garg
- Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India
| | - Nishant Goyal
- Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, India
| | - Justin Raj
- Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, India
| | - Basudeb Das
- Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, India
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15
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Dalton GD, Siecinski SK, Nikolova VD, Cofer GP, Hornburg KJ, Qi Y, Johnson GA, Jiang YH, Moy SS, Gregory SG. Transcriptome analysis identifies an ASD-Like phenotype in oligodendrocytes and microglia from C58/J amygdala that is dependent on sex and sociability. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2024; 20:14. [PMID: 38898502 PMCID: PMC11188533 DOI: 10.1186/s12993-024-00240-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders with higher incidence in males and is characterized by atypical verbal/nonverbal communication, restricted interests that can be accompanied by repetitive behavior, and disturbances in social behavior. This study investigated brain mechanisms that contribute to sociability deficits and sex differences in an ASD animal model. METHODS Sociability was measured in C58/J and C57BL/6J mice using the 3-chamber social choice test. Bulk RNA-Seq and snRNA-Seq identified transcriptional changes in C58/J and C57BL/6J amygdala within which DMRseq was used to measure differentially methylated regions in amygdala. RESULTS C58/J mice displayed divergent social strata in the 3-chamber test. Transcriptional and pathway signatures revealed immune-related biological processes differ between C58/J and C57BL/6J amygdala. Hypermethylated and hypomethylated genes were identified in C58/J versus C57BL/6J amygdala. snRNA-Seq data in C58/J amygdala identified differential transcriptional signatures within oligodendrocytes and microglia characterized by increased ASD risk gene expression and predicted impaired myelination that was dependent on sex and sociability. RNA velocity, gene regulatory network, and cell communication analysis showed diminished oligodendrocyte/microglia differentiation. Findings were verified using Bulk RNA-Seq and demonstrated oxytocin's beneficial effects on myelin gene expression. LIMITATIONS Our findings are significant. However, limitations can be noted. The cellular mechanisms linking reduced oligodendrocyte differentiation and reduced myelination to an ASD phenotype in C58/J mice need further investigation. Additional snRNA-Seq and spatial studies would determine if effects in oligodendrocytes/microglia are unique to amygdala or if this occurs in other brain regions. Oxytocin's effects need further examination to understand its' potential as an ASD therapeutic. CONCLUSIONS Our work demonstrates the C58/J mouse model's utility in evaluating the influence of sex and sociability on the transcriptome in concomitant brain regions involved in ASD. Our single-nucleus transcriptome analysis elucidates potential pathological roles of oligodendrocytes and microglia in ASD. This investigation provides details regarding regulatory features disrupted in these cell types, including transcriptional gene dysregulation, aberrant cell differentiation, altered gene regulatory networks, and changes to key pathways that promote microglia/oligodendrocyte differentiation. Our studies provide insight into interactions between genetic risk and epigenetic processes associated with divergent affiliative behavior and lack of positive sociability.
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Affiliation(s)
- George D Dalton
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA
| | - Stephen K Siecinski
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA
| | - Viktoriya D Nikolova
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA
| | - Gary P Cofer
- Center for In Vivo Microscopy, Duke University, Durham, NC, 27710, USA
| | | | - Yi Qi
- Center for In Vivo Microscopy, Duke University, Durham, NC, 27710, USA
| | - G Allan Johnson
- Center for In Vivo Microscopy, Duke University, Durham, NC, 27710, USA
| | - Yong-Hui Jiang
- Department of Genetics, Neuroscience, and Pediatrics, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Sheryl S Moy
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA
| | - Simon G Gregory
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27701, USA.
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA.
- Department of Neurology, Molecular Genetics and Microbiology Duke Molecular Physiology Institute, 300 N. Duke Street, DUMC 104775, Durham, NC, 27701, USA.
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16
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Duan K, Eyler L, Pierce K, Lombardo MV, Datko M, Hagler DJ, Taluja V, Zahiri J, Campbell K, Barnes CC, Arias S, Nalabolu S, Troxel J, Ji P, Courchesne E. Differences in regional brain structure in toddlers with autism are related to future language outcomes. Nat Commun 2024; 15:5075. [PMID: 38871689 PMCID: PMC11176156 DOI: 10.1038/s41467-024-48952-4] [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: 01/06/2023] [Accepted: 05/20/2024] [Indexed: 06/15/2024] Open
Abstract
Language and social symptoms improve with age in some autistic toddlers, but not in others, and such outcome differences are not clearly predictable from clinical scores alone. Here we aim to identify early-age brain alterations in autism that are prognostic of future language ability. Leveraging 372 longitudinal structural MRI scans from 166 autistic toddlers and 109 typical toddlers and controlling for brain size, we find that, compared to typical toddlers, autistic toddlers show differentially larger or thicker temporal and fusiform regions; smaller or thinner inferior frontal lobe and midline structures; larger callosal subregion volume; and smaller cerebellum. Most differences are replicated in an independent cohort of 75 toddlers. These brain alterations improve accuracy for predicting language outcome at 6-month follow-up beyond intake clinical and demographic variables. Temporal, fusiform, and inferior frontal alterations are related to autism symptom severity and cognitive impairments at early intake ages. Among autistic toddlers, brain alterations in social, language and face processing areas enhance the prediction of the child's future language ability.
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Affiliation(s)
- Kuaikuai Duan
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA.
| | - Lisa Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, USA
- VISN 22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA, 92161, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, 38068, Italy
| | - Michael Datko
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Vani Taluja
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Javad Zahiri
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Kathleen Campbell
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Cynthia Carter Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Steven Arias
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Srinivasa Nalabolu
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Jaden Troxel
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Peng Ji
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA.
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Margedari P, Goudarzi I, Sepehri H. The protective role of prenatal administration of ascorbic acid on autistic-like behavior in a rat model of autism. IBRO Neurosci Rep 2024; 16:78-85. [PMID: 38274439 PMCID: PMC10809097 DOI: 10.1016/j.ibneur.2023.11.002] [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: 03/08/2023] [Revised: 10/08/2023] [Accepted: 11/01/2023] [Indexed: 01/27/2024] Open
Abstract
Background Autism is a complicated neurodevelopmental disorder characterized by several behavioral impairments. The pathology of autism is complex and not fully known. Several recent studies have shown alterations in the activities of antioxidant enzymes in autism. Vitamin C is a potent antioxidant that is present in high concentrations in the brain and acts as a neuromodulator. Prefrontal abnormality has been hypothesized to underlie autistic symptoms. The present study investigated the protective effect of prenatally Vitamin C on autistic-like behaviors, oxidative stress status, and histopathological change of prefrontal in valproic acid (VPA) rat model of autism. Method The model of autism was induced by subcutaneous administration of Valproic acid (600 mg/kg) to pregnant rats at gestational day 12.5. Vitamin C was administered 600 mg/L in drinking water from the 5th day of gestaion (GD5) up to postnatal day 23 (PND23). Thirty-two rat offspring were divided into four groups: Control, Vitamin C, VPA, and Vitamin C + VPA. The offspring were tested for repetitive behaviors and cognitive ability with a Y-maze task and social interaction with a play behavior task on 31st of Postnatal days. Glutathione (GSH), superoxide dismutase (SOD) activity, and the histological change in the prefrontal lobe were assessed at the end of the study. The number of neurons from the left prefrontal lobe was counted in duplicate from slides stained with hematoxylin-eosin. Results In the Y-maze apparatus, spontaneous alteration significantly decreased in the prenatal VPA treated rats compared to control rats showing autistic-like behavior; pre and postnatal Vitamin C treatment increased the alternation indicated benefit effect of Vitamin C. Prenatal VPA treatment impaired play behavior such as sniffing, grooming and darting. Vitamin C treatment attenuated the problems in male offspring social behavior. Histological examination showed an increase in the number of cells in the prefrontal cortex of valproic acid offspring rats compared to other groups. Moreover, prenatal VPA decreased antioxidant enzyme activities in the cortex (PFC) attenuated by Vitamin C administration. Conclusion The present study showed that valproic acid induced oxidative stress and neural changes in the prefrontal lobe when administered prenatally which in turn may cause the development of some autistic-like behaviors, and vitamin C may reduce this symptom with its antioxidant effects.
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Affiliation(s)
| | - Iran Goudarzi
- School of Biology, Damghan University, Damghan, Iran
| | - Hamid Sepehri
- Neuroscience Research Center, Department of Physiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
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18
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Klaus J, Stoodley CJ, Schutter DJLG. Neurodevelopmental trajectories of cerebellar grey matter associated with verbal abilities in males with autism spectrum disorder. Dev Cogn Neurosci 2024; 67:101379. [PMID: 38615557 PMCID: PMC11026694 DOI: 10.1016/j.dcn.2024.101379] [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: 12/14/2023] [Revised: 03/14/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition frequently associated with structural cerebellar abnormalities. Whether cerebellar grey matter volumes (GMV) are linked to verbal impairments remains controversial. Here, the association between cerebellar GMV and verbal abilities in ASD was examined across the lifespan. Lobular segmentation of the cerebellum was performed on structural MRI scans from the ABIDE I dataset in male individuals with ASD (N=144, age: 8.5-64.0 years) and neurotypical controls (N=188; age: 8.0-56.2 years). Stepwise linear mixed effects modeling including group (ASD vs. neurotypical controls), lobule-wise GMV, and age was performed to identify cerebellar lobules which best predicted verbal abilities as measured by verbal IQ (VIQ). An age-specific association between VIQ and GMV of bilateral Crus II was found in ASD relative to neurotypical controls. In children with ASD, higher VIQ was associated with larger GMV of left Crus II but smaller GMV of right Crus II. By contrast, in adults with ASD, higher VIQ was associated with smaller GMV of left Crus II and larger GMV of right Crus II. These findings indicate that relative to the contralateral hemisphere, an initial reliance on the language-nonspecific left cerebellar hemisphere is offset by more typical right-lateralization in adulthood.
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Affiliation(s)
- Jana Klaus
- Department of Experimental Psychology, Utrecht University, the Netherlands; Helmholtz Institute, Utrecht, the Netherlands.
| | | | - Dennis J L G Schutter
- Department of Experimental Psychology, Utrecht University, the Netherlands; Helmholtz Institute, Utrecht, the Netherlands
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19
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Baizer JS. Neuroanatomy of autism: what is the role of the cerebellum? Cereb Cortex 2024; 34:94-103. [PMID: 38696597 DOI: 10.1093/cercor/bhae050] [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: 10/20/2023] [Revised: 01/08/2024] [Accepted: 01/25/2024] [Indexed: 05/04/2024] Open
Abstract
Autism (or autism spectrum disorder) was initially defined as a psychiatric disorder, with the likely cause maternal behavior (the very destructive "refrigerator mother" theory). It took several decades for research into brain mechanisms to become established. Both neuropathological and imaging studies found differences in the cerebellum in autism spectrum disorder, the most widely documented being a decreased density of Purkinje cells in the cerebellar cortex. The popular interpretation of these results is that cerebellar neuropathology is a critical cause of autism spectrum disorder. We challenge that view by arguing that if fewer Purkinje cells are critical for autism spectrum disorder, then any condition that causes the loss of Purkinje cells should also cause autism spectrum disorder. We will review data on damage to the cerebellum from cerebellar lesions, tumors, and several syndromes (Joubert syndrome, Fragile X, and tuberous sclerosis). Collectively, these studies raise the question of whether the cerebellum really has a role in autism spectrum disorder. Autism spectrum disorder is now recognized as a genetically caused developmental disorder. A better understanding of the genes that underlie the differences in brain development that result in autism spectrum disorder is likely to show that these genes affect the development of the cerebellum in parallel with the development of the structures that do underlie autism spectrum disorder.
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Affiliation(s)
- Joan S Baizer
- Department of Physiology and Biophysics, 123 Sherman Hall, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14214, United States
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20
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Wang H, Jing H, Yang J, Liu C, Hu L, Tao G, Zhao Z, Shen N. Identifying autism spectrum disorder from multi-modal data with privacy-preserving. NPJ MENTAL HEALTH RESEARCH 2024; 3:15. [PMID: 38698164 PMCID: PMC11066078 DOI: 10.1038/s44184-023-00050-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 12/20/2023] [Indexed: 05/05/2024]
Abstract
The application of deep learning models to precision medical diagnosis often requires the aggregation of large amounts of medical data to effectively train high-quality models. However, data privacy protection mechanisms make it difficult to perform medical data collection from different medical institutions. In autism spectrum disorder (ASD) diagnosis, automatic diagnosis using multimodal information from heterogeneous data has not yet achieved satisfactory performance. To address the privacy preservation issue as well as to improve ASD diagnosis, we propose a deep learning framework using multimodal feature fusion and hypergraph neural networks for disease prediction in federated learning (FedHNN). By introducing the federated learning strategy, each local model is trained and computed independently in a distributed manner without data sharing, allowing rapid scaling of medical datasets to achieve robust and scalable deep learning predictive models. To further improve the performance with privacy preservation, we improve the hypergraph model for multimodal fusion to make it suitable for autism spectrum disorder (ASD) diagnosis tasks by capturing the complementarity and correlation between modalities through a hypergraph fusion strategy. The results demonstrate that our proposed federated learning-based prediction model is superior to all local models and outperforms other deep learning models. Overall, our proposed FedHNN has good results in the work of using multi-site data to improve the performance of ASD identification.
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Affiliation(s)
- Haishuai Wang
- College of Computer Science, Zhejiang University, Hangzhou, China.
| | - Hezi Jing
- College of Computer Science, Tianjin Normal University, Tianjin, China
| | - Jianjun Yang
- Department of General Practice, Shandong Provincial Third Hospital, Shandong University, Jinan, China
| | - Chao Liu
- Department of Orthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Liwei Hu
- Department of Radiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China
| | - Guangyu Tao
- Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ziping Zhao
- College of Computer Science, Tianjin Normal University, Tianjin, China.
| | - Ning Shen
- Liangzhu Laboratory, School of Medicine, Zhejiang University, Hangzhou, China.
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21
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Du L, Ye F, Gao W, Yang A, Luan J, Xu M, Lv K, Hu P, Liu B, Yu H, Wang Y, Huang W, Shu N, Ouyang G, Yin Q, Shmuel A, Wang Y, Zhang Q, Xu P, Ma G. Decreased brain iron deposition based on quantitative susceptibility mapping correlates with reduced neurodevelopmental status in children with autism spectrum disorder. Cereb Cortex 2024; 34:63-71. [PMID: 38696609 DOI: 10.1093/cercor/bhae081] [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: 10/30/2023] [Revised: 01/24/2024] [Accepted: 02/12/2024] [Indexed: 05/04/2024] Open
Abstract
To investigate potential correlations between the susceptibility values of certain brain regions and the severity of disease or neurodevelopmental status in children with autism spectrum disorder (ASD), 18 ASD children and 15 healthy controls (HCs) were recruited. The neurodevelopmental status was assessed by the Gesell Developmental Schedules (GDS) and the severity of the disease was evaluated by the Autism Behavior Checklist (ABC). Eleven brain regions were selected as regions of interest and the susceptibility values were measured by quantitative susceptibility mapping. To evaluate the diagnostic capacity of susceptibility values in distinguishing ASD and HC, the receiver operating characteristic (ROC) curve was computed. Pearson and Spearman partial correlation analysis were used to depict the correlations between the susceptibility values, the ABC scores, and the GDS scores in the ASD group. ROC curves showed that the susceptibility values of the left and right frontal white matter had a larger area under the curve in the ASD group. The susceptibility value of the right globus pallidus was positively correlated with the GDS-fine motor scale score. These findings indicated that the susceptibility value of the right globus pallidus might be a viable imaging biomarker for evaluating the neurodevelopmental status of ASD children.
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Affiliation(s)
- Lei Du
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
- Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian, Beijing 100142, China
| | - Fang Ye
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Wenwen Gao
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
- Department of Radiology, the Sixth Medical Center of People's Liberation Army (PLA) General Hospital, No. 6 Fucheng Road, Haidian, Beijing 100048, China
| | - Aocai Yang
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Jixin Luan
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Manxi Xu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Kuan Lv
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Pianpian Hu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Bing Liu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Hongwei Yu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Yuli Wang
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Gaoxiang Ouyang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Qian Yin
- School of Artificial Intelligence, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Amir Shmuel
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 45 Sherbrooke St W, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, Physiology, and Biomedical Engineering, McGill University, 45 Sherbrooke St W, Montreal, QC, Canada
| | - Yunfeng Wang
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Qi Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Pengfei Xu
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Guolin Ma
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
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22
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Vilela J, Rasga C, Santos JX, Martiniano H, Marques AR, Oliveira G, Vicente AM. Bridging Genetic Insights with Neuroimaging in Autism Spectrum Disorder-A Systematic Review. Int J Mol Sci 2024; 25:4938. [PMID: 38732157 PMCID: PMC11084239 DOI: 10.3390/ijms25094938] [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: 02/29/2024] [Revised: 04/22/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
Autism Spectrum Disorder (ASD) is an early onset neurodevelopmental disorder characterized by impaired social interaction and communication, and repetitive patterns of behavior. Family studies show that ASD is highly heritable, and hundreds of genes have previously been implicated in the disorder; however, the etiology is still not fully clear. Brain imaging and electroencephalography (EEG) are key techniques that study alterations in brain structure and function. Combined with genetic analysis, these techniques have the potential to help in the clarification of the neurobiological mechanisms contributing to ASD and help in defining novel therapeutic targets. To further understand what is known today regarding the impact of genetic variants in the brain alterations observed in individuals with ASD, a systematic review was carried out using Pubmed and EBSCO databases and following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This review shows that specific genetic variants and altered patterns of gene expression in individuals with ASD may have an effect on brain circuits associated with face processing and social cognition, and contribute to excitation-inhibition imbalances and to anomalies in brain volumes.
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Affiliation(s)
- Joana Vilela
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
| | - Célia Rasga
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
| | - João Xavier Santos
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
| | - Hugo Martiniano
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
| | - Ana Rita Marques
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
| | - Guiomar Oliveira
- Unidade de Neurodesenvolvimento e Autismo, Serviço do Centro de Desenvolvimento da Criança, Centro de Investigação e Formação Clínica, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra (CHUC), 3000-602 Coimbra, Portugal;
- Coimbra Institute for Biomedical Imaging and Translational Research, University Clinic of Pediatrics, Faculty of Medicine, University of Coimbra, 3000-602 Coimbra, Portugal
| | - Astrid Moura Vicente
- Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisboa, Portugal; (J.V.); (C.R.); (J.X.S.); (H.M.); (A.R.M.)
- BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande, C8, 1749-016 Lisboa, Portugal
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23
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Das S, Zomorrodi R, Kirkovski M, Hill AT, Enticott PG, Blumberger DM, Rajji TK, Desarkar P. Atypical alpha band microstates produced during eyes-closed resting state EEG in autism. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110958. [PMID: 38309329 DOI: 10.1016/j.pnpbp.2024.110958] [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: 08/03/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
Electroencephalogram (EEG) microstates, which represent quasi-stable patterns of scalp topography, are a promising tool that has the temporal resolution to study atypical spatial and temporal networks in autism spectrum disorder (ASD). While current literature suggests microstates are atypical in ASD, their clinical utility, i.e., relationship with the core behavioural characteristics of ASD, is not fully understood. The aim of this study was to examine microstate parameters in ASD, and examine the relationship between these parameters and core behavioural characteristics in ASD. We compared duration, occurrence, coverage, global explained variance percentage, global field power and spatial correlation of EEG microstates between autistic and neurotypical (NT) adults. Modified k-means cluster analysis was used on eyes-closed, resting state EEG from 30 ASD (10 females, 28.97 ± 9.34 years) and 30 age-equated NT (13 females, 29.33 ± 8.88 years) adults. Five optimal microstates, A to E, were selected to best represent the data. Five microstate maps explaining 80.44% of the NT and 78.44% of the ASD data were found. The ASD group was found to have atypical parameters of microstate A, C, D, and E. Of note, all parameters of microstate C in the ASD group were found to be significantly less than NT. While parameters of microstate D, and E were also found to significantly correlate with subscales of the Ritvo Autism Asperger Diagnostic Scale - Revised (RAADS-R), these findings did not survive a Bonferroni Correction. These findings, in combination with previous findings, highlight the potential clinical utility of EEG microstates and indicate their potential value as a neurophysiologic marker that can be further studied.
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Affiliation(s)
- Sushmit Das
- Centre for Addiction and Mental Health, Toronto, Canada; Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Reza Zomorrodi
- Centre for Addiction and Mental Health, Toronto, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Melissa Kirkovski
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Aron T Hill
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Department of Psychiatry, Central Clinical School, Monash University, Melbourne, Australia
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Daniel M Blumberger
- Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada; Toronto Dementia Research Alliance, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Pushpal Desarkar
- Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada.
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24
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Bezgin G, Lewis JD, Fonov VS, Collins DL, Evans AC. Atypical co-development of the thalamus and cortex in autism: Evidence from age-related white-gray contrast change. Hum Brain Mapp 2024; 45:e26584. [PMID: 38533724 DOI: 10.1002/hbm.26584] [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: 03/14/2023] [Revised: 12/05/2023] [Accepted: 12/17/2023] [Indexed: 03/28/2024] Open
Abstract
Recent studies have shown that white-gray contrast (WGC) of either cortical or subcortical gray matter provides for accurate predictions of age in typically developing (TD) children, and that, at least for the cortex, it changes differently with age in subjects with autism spectrum disorder (ASD) compared to their TD peers. Our previous study showed different patterns of contrast change between ASD and TD in sensorimotor and association cortices. While that study was confined to the cortex, we hypothesized that subcortical structures, particularly the thalamus, were involved in the observed cortical dichotomy between lower and higher processing. The current paper investigates that hypothesis using the WGC measures from the thalamus in addition to those from the cortex. We compared age-related WGC changes in the thalamus to those in the cortex. To capture the simultaneity of this change across the two structures, we devised a metric capturing the co-development of the thalamus and cortex (CoDevTC), proportional to the magnitude of cortical and thalamic age-related WGC change. We calculated this metric for each of the subjects in a large homogeneous sample taken from the Autism Brain Imaging Data Exchange (ABIDE) (N = 434). We used structural MRI data from the largest high-quality cross-sectional sample (NYU) as well as two other large high-quality sites, GU and OHSU, all three using Siemens 3T scanners. We observed that the co-development features in ASD and TD exhibit contrasting patterns; specifically, some higher-order thalamic nuclei, such as the lateral dorsal nucleus, exhibited reduction in codevelopment with most of the cortex in ASD compared to TD. Moreover, this difference in the CoDevTC pattern correlates with a number of behavioral measures across multiple cognitive and physiological domains. The results support previous notions of altered connectivity in autism, but add more specific evidence about the heterogeneity in thalamocortical development that elucidates the mechanisms underlying the clinical features of ASD.
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Affiliation(s)
- Gleb Bezgin
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Vladimir S Fonov
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - D Louis Collins
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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25
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Holley D, Campos LJ, Drzewiecki CM, Zhang Y, Capitanio JP, Fox AS. Rhesus infant nervous temperament predicts peri-adolescent central amygdala metabolism & behavioral inhibition measured by a machine-learning approach. Transl Psychiatry 2024; 14:148. [PMID: 38490997 PMCID: PMC10943234 DOI: 10.1038/s41398-024-02858-3] [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] [Received: 10/27/2022] [Revised: 02/21/2024] [Accepted: 03/01/2024] [Indexed: 03/18/2024] Open
Abstract
Anxiety disorders affect millions of people worldwide and impair health, happiness, and productivity on a massive scale. Developmental research points to a connection between early-life behavioral inhibition and the eventual development of these disorders. Our group has previously shown that measures of behavioral inhibition in young rhesus monkeys (Macaca mulatta) predict anxiety-like behavior later in life. In recent years, clinical and basic researchers have implicated the central extended amygdala (EAc)-a neuroanatomical concept that includes the central nucleus of the amygdala (Ce) and the bed nucleus of the stria terminalis (BST)-as a key neural substrate for the expression of anxious and inhibited behavior. An improved understanding of how early-life behavioral inhibition relates to an increased lifetime risk of anxiety disorders-and how this relationship is mediated by alterations in the EAc-could lead to improved treatments and preventive strategies. In this study, we explored the relationships between infant behavioral inhibition and peri-adolescent defensive behavior and brain metabolism in 18 female rhesus monkeys. We coupled a mildly threatening behavioral assay with concurrent multimodal neuroimaging, and related those findings to various measures of infant temperament. To score the behavioral assay, we developed and validated UC-Freeze, a semi-automated machine-learning (ML) tool that uses unsupervised clustering to quantify freezing. Consistent with previous work, we found that heightened Ce metabolism predicted elevated defensive behavior (i.e., more freezing) in the presence of an unfamiliar human intruder. Although we found no link between infant-inhibited temperament and peri-adolescent EAc metabolism or defensive behavior, we did identify infant nervous temperament as a significant predictor of peri-adolescent defensive behavior. Our findings suggest a connection between infant nervous temperament and the eventual development of anxiety and depressive disorders. Moreover, our approach highlights the potential for ML tools to augment existing behavioral neuroscience methods.
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Affiliation(s)
- D Holley
- University of California, Department of Psychology, Davis, CA, USA
- California National Primate Research Center, Davis, CA, USA
| | - L J Campos
- University of California, Department of Psychology, Davis, CA, USA
- California National Primate Research Center, Davis, CA, USA
| | - C M Drzewiecki
- California National Primate Research Center, Davis, CA, USA
| | - Y Zhang
- Columbia University, Department of Statistics, New York, NY, USA
| | - J P Capitanio
- University of California, Department of Psychology, Davis, CA, USA
- California National Primate Research Center, Davis, CA, USA
| | - A S Fox
- University of California, Department of Psychology, Davis, CA, USA.
- California National Primate Research Center, Davis, CA, USA.
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26
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Lu X, Song Y, Wang J, Cai Y, Peng S, Lin J, Lai B, Sun J, Liu T, Chen G, Xing L. Developmental dopaminergic signaling modulates neural circuit formation and contributes to autism spectrum disorder (ASD)-related phenotypes. THE AMERICAN JOURNAL OF PATHOLOGY 2024:S0002-9440(24)00086-5. [PMID: 38492733 DOI: 10.1016/j.ajpath.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 12/25/2023] [Accepted: 02/06/2024] [Indexed: 03/18/2024]
Abstract
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder with a complex etiology. Recent evidence suggests that dopamine plays a crucial role in neural development. However, it remains unclear whether and how disrupted dopaminergic signaling during development contributes to ASD. In this study, human brain RNA-seq transcriptome analysis revealed a significant correlation between changes in dopaminergic signaling pathways and neural developmental signaling in ASD patients. In the zebrafish model, disrupted developmental dopaminergic signaling led to neural circuit abnormalities and behavior reminiscent of autism. Dopaminergic signaling may impact neuronal specification by potentially modulating integrins. These findings shed light on the mechanisms underlying the link between disrupted developmental dopamine signaling and ASD, and they point to the possibility of targeting dopaminergic signaling in early development for ASD treatment.
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Affiliation(s)
- Xiaojuan Lu
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Yixing Song
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Jiaqi Wang
- Medical School of Nantong University, Nantong, Jiangsu Province, 226001, China
| | - Yunyun Cai
- Medical School of Nantong University, Nantong, Jiangsu Province, 226001, China
| | - Siwan Peng
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Jiaqi Lin
- Medical School of Nantong University, Nantong, Jiangsu Province, 226001, China
| | - Biqin Lai
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-sen University), Ministry of Education, Co-innovation Center of Neuroregeneration, Jiangsu Province, 226001, China
| | - Junjie Sun
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Tianqing Liu
- NICM Health Research Institute, Western Sydney University, Westmead 2145, Australia
| | - Gang Chen
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China; Medical School of Nantong University, Nantong, Jiangsu Province, 226001, China.
| | - Lingyan Xing
- Key Laboratory of Neuroregeneration of Jiangsu and the Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China.
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27
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Karjalainen S, Aro T, Parviainen T. Coactivation of Autonomic and Central Nervous Systems During Processing of Socially Relevant Information in Autism Spectrum Disorder: A Systematic Review. Neuropsychol Rev 2024; 34:214-231. [PMID: 36849624 PMCID: PMC10920494 DOI: 10.1007/s11065-023-09579-2] [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] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 11/29/2022] [Indexed: 03/01/2023]
Abstract
Body-brain interaction provides a novel approach to understand neurodevelopmental conditions such as autism spectrum disorder (ASD). In this systematic review, we analyse the empirical evidence regarding coexisting differences in autonomic (ANS) and central nervous system (CNS) responses to social stimuli between individuals with ASD and typically developing individuals. Moreover, we review evidence of deviations in body-brain interaction during processing of socially relevant information in ASD. We conducted systematic literature searches in PubMed, Medline, PsychInfo, PsychArticles, and Cinahl databases (until 12.1.2022). Studies were included if individuals with ASD were compared with typically developing individuals, study design included processing of social information, and ANS and CNS activity were measured simultaneously. Out of 1892 studies identified based on the titles and abstracts, only six fulfilled the eligibility criteria to be included in synthesis. The quality of these studies was assessed using a quality assessment checklist. The results indicated that individuals with ASD demonstrate atypicalities in ANS and CNS signalling which, however, are context dependent. There were also indications for altered contribution of ANS-CNS interaction in processing of social information in ASD. However, the findings must be considered in the context of several limitations, such as small sample sizes and high variability in (neuro)physiological measures. Indeed, the methodological choices varied considerably, calling for a need for unified guidelines to improve the interpretability of results. We summarize the current experimentally supported understanding of the role of socially relevant body-brain interaction in ASD. Furthermore, we propose developments for future studies to improve incremental knowledge building across studies of ANS-CNS interaction involving individuals with ASD.
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Affiliation(s)
- Suvi Karjalainen
- Department of Psychology, University of Jyväskylä, PO Box 35, FI-40014, Jyväskylä, Finland.
- Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland.
| | - Tuija Aro
- Department of Psychology, University of Jyväskylä, PO Box 35, FI-40014, Jyväskylä, Finland
| | - Tiina Parviainen
- Department of Psychology, University of Jyväskylä, PO Box 35, FI-40014, Jyväskylä, Finland
- Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland
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Zhang Q, Wang Y, Tao J, Xia R, Zhang Y, Liu Z, Cheng J. Sex-biased single-cell genetic landscape in mice with autism spectrum disorder. J Genet Genomics 2024; 51:338-351. [PMID: 37703921 DOI: 10.1016/j.jgg.2023.08.012] [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] [Received: 08/22/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 09/15/2023]
Abstract
Autistic spectrum disorder (ASD) is a male-biased, heterogeneous neurodevelopmental disorder that affects approximately 1%-2% of the population. Prenatal exposure to valproic acid (VPA) is a recognized risk factor for ASD, but the cellular and molecular basis of VPA-induced ASD at the single-cell resolution is unclear. Here, we aim to compare the cellular and molecular differences in the hippocampus between male and female prenatal mice with ASD at the single-cell transcriptomic level. The transcriptomes of more than 45,000 cells are assigned to 12 major cell types, including neurons, glial cells, vascular cells, and immune cells. Cell type-specific genes with altered expression after prenatal VPA exposure are analyzed, and the largest number of differentially expressed genes (DEGs) are found in neurons, choroid plexus epithelial cells, and microglia. In microglia, several pathways related to inflammation are found in both males and females, including the tumor necrosis factor (TNF), nuclear factor kappa B (NF-κB), toll-like receptor (TLR), and mitogen-activated protein kinase (MAPK) signaling pathways, which are important for the induction of autistic-like behavior. Additionally, we note that several X-linked genes, including Bex1, Bex3, and Gria3, were among the male-specific DEGs of neurons. This pioneering study describes the landscape of the transcriptome in the hippocampus of autistic mice. The elucidation of sexual differences could provide innovative strategies for the prevention and treatment of ASD.
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Affiliation(s)
- Qian Zhang
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Yongjie Wang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Jie Tao
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Ruixue Xia
- Department of Respiratory and Critical Care Medicine, Henan University Huaihe Hospital, Kaifeng, Henan 475099, China
| | - Yijie Zhang
- Department of Respiratory and Critical Care Medicine, Henan University Huaihe Hospital, Kaifeng, Henan 475099, China
| | - Zhirui Liu
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
| | - Jiwei Cheng
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
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Zhan L, Gao Y, Huang L, Zhang H, Huang G, Wang Y, Sun J, Xie Z, Li M, Jia X, Cheng L, Yu Y. Brain functional connectivity alterations of Wernicke's area in individuals with autism spectrum conditions in multi-frequency bands: A mega-analysis. Heliyon 2024; 10:e26198. [PMID: 38404781 PMCID: PMC10884452 DOI: 10.1016/j.heliyon.2024.e26198] [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: 08/06/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
Characterized by severe deficits in communication, most individuals with autism spectrum conditions (ASC) experience significant language dysfunctions, thereby impacting their overall quality of life. Wernicke's area, a classical and traditional brain region associated with language processing, plays a substantial role in the manifestation of language impairments. The current study carried out a mega-analysis to attain a comprehensive understanding of the neural mechanisms underpinning ASC, particularly in the context of language processing. The study employed the Autism Brain Image Data Exchange (ABIDE) dataset, which encompasses data from 443 typically developing (TD) individuals and 362 individuals with ASC. The objective was to detect abnormal functional connectivity (FC) between Wernicke's area and other language-related functional regions, and identify frequency-specific altered FC using Wernicke's area as the seed region in ASC. The findings revealed that increased FC in individuals with ASC has frequency-specific characteristics. Further, in the conventional frequency band (0.01-0.08 Hz), individuals with ASC exhibited increased FC between Wernicke's area and the right thalamus compared with TD individuals. In the slow-5 frequency band (0.01-0.027 Hz), increased FC values were observed in the left cerebellum Crus II and the right lenticular nucleus, pallidum. These results provide novel insights into the potential neural mechanisms underlying communication deficits in ASC from the perspective of language impairments.
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Affiliation(s)
- Linlin Zhan
- School of Western Studies, Heilongjiang University, Harbin, China
| | - Yanyan Gao
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lina Huang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Hongqiang Zhang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Guofeng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yadan Wang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Zhou Xie
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Mengting Li
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- College of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
- Shanghai Center for Research in English Language Education, Shanghai International Studies University, Shanghai, China
| | - Yang Yu
- Psychiatry Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
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Hörner M, Popp S, Branchu J, Stevanin G, Darios F, Klebe S, Groh J, Martini R. Clinically approved immunomodulators ameliorate behavioral changes in a mouse model of hereditary spastic paraplegia type 11. Front Neurosci 2024; 18:1299554. [PMID: 38435059 PMCID: PMC10904495 DOI: 10.3389/fnins.2024.1299554] [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: 09/22/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024] Open
Abstract
We have previously demonstrated that neuroinflammation by the adaptive immune system acts as a robust and targetable disease amplifier in a mouse model of Spastic Paraplegia, type 11 (SPG11), a complicated form of Hereditary Spastic Paraplegia (HSP). While we identified an impact of neuroinflammation on distinct neuropathological changes and gait performance, neuropsychological features, typical and clinically highly relevant symptoms of complicated HSPs, were not addressed. Here we show that the corresponding SPG11 mouse model shows distinct behavioral abnormalities, particularly related to social behavior thus partially reflecting the neuropsychological changes in patients. We provide evidence that some behavioral abnormalities can be mitigated by genetic inactivation of the adaptive immune system. Translating this into a clinically applicable approach, we show that treatment with the established immunomodulators fingolimod or teriflunomide significantly attenuates distinct behavioral abnormalities, with the most striking effect on social behavior. This study links neuroinflammation to behavioral abnormalities in a mouse model of SPG11 and may thus pave the way for using immunomodulators as a treatment approach for SPG11 and possibly other complicated forms of HSP with neuropsychological involvement.
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Affiliation(s)
- Michaela Hörner
- Section of Developmental Neurobiology, Department of Neurology, University Hospital Würzburg, Würzburg, Germany
- Division of Neurodegenerative Diseases, Department of Neurology, Heidelberg University Hospital and Faculty of Medicine, Heidelberg, Germany
| | - Sandy Popp
- Section of Developmental Neurobiology, Department of Neurology, University Hospital Würzburg, Würzburg, Germany
- Center of Mental Health, Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
- TSE Systems GmbH, Berlin, Germany
| | - Julien Branchu
- Institut du Cerveau – Paris Brain Institute, Inserm, Sorbonne Université, Paris, France
- EVerZom, Paris, France
| | - Giovanni Stevanin
- Institut du Cerveau – Paris Brain Institute, Inserm, Sorbonne Université, Paris, France
- INCIA, CNRS, EPHE, Université de Bordeaux, Bordeaux, France
| | - Frédéric Darios
- Institut du Cerveau – Paris Brain Institute, Inserm, Sorbonne Université, Paris, France
| | - Stephan Klebe
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - Janos Groh
- Section of Developmental Neurobiology, Department of Neurology, University Hospital Würzburg, Würzburg, Germany
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
| | - Rudolf Martini
- Section of Developmental Neurobiology, Department of Neurology, University Hospital Würzburg, Würzburg, Germany
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31
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Lawrence AR, Canzi A, Bridlance C, Olivié N, Lansonneur C, Catale C, Pizzamiglio L, Kloeckner B, Silvin A, Munro DAD, Fortoul A, Boido D, Zehani F, Cartonnet H, Viguier S, Oller G, Squarzoni P, Candat A, Helft J, Allet C, Watrin F, Manent JB, Paoletti P, Thieffry D, Cantini L, Pridans C, Priller J, Gélot A, Giacobini P, Ciobanu L, Ginhoux F, Thion MS, Lokmane L, Garel S. Microglia maintain structural integrity during fetal brain morphogenesis. Cell 2024; 187:962-980.e19. [PMID: 38309258 PMCID: PMC10869139 DOI: 10.1016/j.cell.2024.01.012] [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] [Received: 03/13/2023] [Revised: 09/30/2023] [Accepted: 01/10/2024] [Indexed: 02/05/2024]
Abstract
Microglia (MG), the brain-resident macrophages, play major roles in health and disease via a diversity of cellular states. While embryonic MG display a large heterogeneity of cellular distribution and transcriptomic states, their functions remain poorly characterized. Here, we uncovered a role for MG in the maintenance of structural integrity at two fetal cortical boundaries. At these boundaries between structures that grow in distinct directions, embryonic MG accumulate, display a state resembling post-natal axon-tract-associated microglia (ATM) and prevent the progression of microcavities into large cavitary lesions, in part via a mechanism involving the ATM-factor Spp1. MG and Spp1 furthermore contribute to the rapid repair of lesions, collectively highlighting protective functions that preserve the fetal brain from physiological morphogenetic stress and injury. Our study thus highlights key major roles for embryonic MG and Spp1 in maintaining structural integrity during morphogenesis, with major implications for our understanding of MG functions and brain development.
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Affiliation(s)
- Akindé René Lawrence
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Alice Canzi
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Cécile Bridlance
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France; Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France; Sorbonne Université, Collège Doctoral, 75005 Paris, France
| | - Nicolas Olivié
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France; Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France
| | - Claire Lansonneur
- Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Computational Systems Biology, 75005 Paris, France
| | - Clarissa Catale
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Lara Pizzamiglio
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Glutamate Receptors and Excitatory Synapses, 75005 Paris, France
| | - Benoit Kloeckner
- Gustave Roussy Cancer Campus, INSERM, Team Myeloid Cell Development, 94800 Villejuif, France
| | - Aymeric Silvin
- Gustave Roussy Cancer Campus, INSERM, Team Myeloid Cell Development, 94800 Villejuif, France
| | - David A D Munro
- UK Dementia Research Institute at the University of Edinburgh, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Aurélien Fortoul
- INMED, INSERM, Aix-Marseille University, Turing Centre for Living Systems, Marseille, France
| | - Davide Boido
- NeuroSpin, CEA, Paris-Saclay University, Gif-sur-Yvette, Saclay, France
| | - Feriel Zehani
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Hugues Cartonnet
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Sarah Viguier
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France; Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France
| | - Guillaume Oller
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Paola Squarzoni
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Adrien Candat
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Electron Microscopy Facility, 75005 Paris, France
| | - Julie Helft
- Institut Cochin, INSERM, CNRS, Université Paris Cité, Team Phagocytes and Tumor Immunology, 75014 Paris, France
| | - Cécile Allet
- UMR-S 1172, JPArc - Centre de Recherche Neurosciences et Cancer, University of Lille, Lille, France
| | - Francoise Watrin
- INMED, INSERM, Aix-Marseille University, Turing Centre for Living Systems, Marseille, France
| | - Jean-Bernard Manent
- INMED, INSERM, Aix-Marseille University, Turing Centre for Living Systems, Marseille, France
| | - Pierre Paoletti
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Glutamate Receptors and Excitatory Synapses, 75005 Paris, France
| | - Denis Thieffry
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Computational Systems Biology, 75005 Paris, France
| | - Laura Cantini
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Computational Systems Biology, 75005 Paris, France
| | - Clare Pridans
- University of Edinburgh Centre for Inflammation Research, Edinburgh EH16 4TJ, UK; Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, UK
| | - Josef Priller
- UK Dementia Research Institute at the University of Edinburgh, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Department of Psychiatry and Psychotherapy, School of Medicine, Technical University Munich, 81675 Munich, Germany; Neuropsychiatry and Laboratory of Molecular Psychiatry, Charité - Universitätsmedizin and DZNE Berlin, 10117 Berlin, Germany
| | - Antoinette Gélot
- Service d'anatomie Pathologique, Hôpital Trousseau APHP, 75571 Paris Cedex 12, France
| | - Paolo Giacobini
- University of Lille, CHU Lille, Inserm, Laboratory of Development and Plasticity of the Neuroendocrine Brain, Lille Neuroscience and Cognition, UMR-S 1172, 59000 Lille, France
| | - Luisa Ciobanu
- NeuroSpin, CEA, Paris-Saclay University, Gif-sur-Yvette, Saclay, France
| | - Florent Ginhoux
- Gustave Roussy Cancer Campus, INSERM, Team Myeloid Cell Development, 94800 Villejuif, France; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore 138648, Singapore
| | - Morgane Sonia Thion
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France; Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France
| | - Ludmilla Lokmane
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France
| | - Sonia Garel
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Team Brain Development and Plasticity, 75005 Paris, France; Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL, Paris, France; Collège de France, Université PSL, 75005 Paris, France.
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Burrows CA, Lasch C, Gross J, Girault JB, Rutsohn J, Wolff JJ, Swanson MR, Lee CM, Dager SR, Cornea E, Stephens R, Styner M, John TS, Pandey J, Deva M, Botteron KN, Estes AM, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Gilmore JH, Shen MD, Piven J, Elison JT. Associations between early trajectories of amygdala development and later school-age anxiety in two longitudinal samples. Dev Cogn Neurosci 2024; 65:101333. [PMID: 38154378 PMCID: PMC10792190 DOI: 10.1016/j.dcn.2023.101333] [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: 06/13/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months. Anxiety was assessed at 6-12 years. Linear multilevel modeling tested whether amygdala volume growth was associated with anxiety symptoms at school age. In the IBIS sample, children with higher anxiety showed accelerated amygdala growth from 6 to 24 months. ASD diagnosis and ASD familial likelihood were not significant predictors. In the EBDS sample, amygdala growth from birth to 24 months was associated with anxiety. More anxious children had smaller amygdala volume and slower rates of amygdala growth. We explore reasons for the contrasting results between high-familial likelihood for ASD and TD samples, grounding results in the broader literature of variable associations between early amygdala volume and later anxiety. Results have the potential to identify mechanisms linking early amygdala growth to later anxiety in certain groups.
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Affiliation(s)
| | - Carolyn Lasch
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Julia Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Chimei M Lee
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- Deptartment of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Emil Cornea
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Meera Deva
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, Seattle, WA, USA; Deptartment of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jed T Elison
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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Dalton GD, Siecinski SK, Nikolova VD, Cofer GP, Hornburg K, Qi Y, Johnson GA, Jiang YH, Moy SS, Gregory SG. Transcriptome Analysis Identifies An ASD-Like Phenotype In Oligodendrocytes And Microglia From C58/J Amygdala That Is Dependent On Sex and Sociability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.15.575733. [PMID: 38293238 PMCID: PMC10827122 DOI: 10.1101/2024.01.15.575733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Background Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders with higher incidence in males and is characterized by atypical verbal/nonverbal communication, restricted interests that can be accompanied by repetitive behavior, and disturbances in social behavior. This study investigated brain mechanisms that contribute to sociability deficits and sex differences in an ASD animal model. Methods Sociability was measured in C58/J and C57BL/6J mice using the 3-chamber social choice test. Bulk RNA-Seq and snRNA-Seq identified transcriptional changes in C58/J and C57BL/6J amygdala within which DMRseq was used to measure differentially methylated regions in amygdala. Results C58/J mice displayed divergent social strata in the 3-chamber test. Transcriptional and pathway signatures revealed immune-related biological processes differ between C58/J and C57BL/6J amygdala. Hypermethylated and hypomethylated genes were identified in C58/J versus C57BL/6J amygdala. snRNA-Seq data in C58/J amygdala identified differential transcriptional signatures within oligodendrocytes and microglia characterized by increased ASD risk gene expression and predicted impaired myelination that was dependent on sex and sociability. RNA velocity, gene regulatory network, and cell communication analysis showed diminished oligodendrocyte/microglia differentiation. Findings were verified using bulk RNA-Seq and demonstrated oxytocin's beneficial effects on myelin gene expression. Limitations Our findings are significant. However, limitations can be noted. The cellular mechanisms linking reduced oligodendrocyte differentiation and reduced myelination to an ASD phenotype in C58/J mice need further investigation. Additional snRNA-Seq and spatial studies would determine if effects in oligodendrocytes/microglia are unique to amygdala or if this occurs in other brain regions. Oxytocin's effects need further examination to understand its potential as an ASD therapeutic. Conclusions Our work demonstrates the C58/J mouse model's utility in evaluating the influence of sex and sociability on the transcriptome in concomitant brain regions involved in ASD. Our single-nucleus transcriptome analysis elucidates potential pathological roles of oligodendrocytes and microglia in ASD. This investigation provides details regarding regulatory features disrupted in these cell types, including transcriptional gene dysregulation, aberrant cell differentiation, altered gene regulatory networks, and changes to key pathways that promote microglia/oligodendrocyte differentiation. Our studies provide insight into interactions between genetic risk and epigenetic processes associated with divergent affiliative behavior and lack of positive sociability.
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Napolitano A, Guerrera S, Lucignani M, Parrillo C, Baldassari G, Bottino F, Moltoni G, Espagnet MCR, Talamanca LF, Valeri G, Vicari S. Assessing cortical features in early stage ASD children. Front Psychiatry 2024; 14:1098265. [PMID: 38268563 PMCID: PMC10806120 DOI: 10.3389/fpsyt.2023.1098265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/15/2023] [Indexed: 01/26/2024] Open
Abstract
Autism Spectrum Disorder (ASD) is defined as a neurodevelopmental disorder largely investigated in the neurologic field. Recently, neuroimaging studies have been conducted in order to investigate cerebral morphologic alterations in ASD patients, demonstrating an atypical brain development before the clinical manifestations of the disorder. Cortical Thickness (CT) and Local Gyrification Index (LGI) distribution for ASD children were investigated in this study, with the aim to evaluate possible relationship between brain measures and individual characteristics (i.e., IQ and verbal ability). 3D T1-w sequences from 129 ASD and 58 age-matched Healthy Controls (HC) were acquired and processed in order to assess CT and LGI for each subject. Intergroup differences between ASD and HC were investigated, including analyses of 2 ASD subgroups, split according to patient verbal ability and IQ. When compared to HC, ASD showed increased CT and LGI within several brain areas, both as an overall group and as verbal ability an IQ subgroups. Moreover, when comparing language characteristics of the ASD subjects, those patients with verbal ability exhibit significant CT and LGI increase was found within the occipital lobe of right hemisphere. No significant results occurred when comparing ASD patients according to their IQ value. These results support the hypothesis of abnormal brain maturation in ASD since early childhood with differences among clinical subgroups suggesting different anatomical substrates underlying an aberrant connectivity.
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Affiliation(s)
- Antonio Napolitano
- Medical Physics Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Silvia Guerrera
- Neuroscience Department, Child Neuropsychiatric Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Martina Lucignani
- Medical Physics Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Chiara Parrillo
- Medical Physics Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Giulia Baldassari
- Medical Physics Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Francesca Bottino
- Medical Physics Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Giulia Moltoni
- Imaging Department, Neuroradiology Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Neuroradiology, NEMOS S. Andrea Hospital, University Sapienza, Rome, Italy
| | | | - Lorenzo Figà Talamanca
- Imaging Department, Neuroradiology Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Giovanni Valeri
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Stefano Vicari
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
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Song Y, Seward CH, Chen CY, LeBlanc A, Leddy AM, Stubbs L. Isolated loss of the AUTS2 long isoform, brain-wide or targeted to Calbindin-lineage cells, generates a specific suite of brain, behavioral, and molecular pathologies. Genetics 2024; 226:iyad182. [PMID: 37816306 PMCID: PMC10763537 DOI: 10.1093/genetics/iyad182] [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: 05/04/2023] [Revised: 09/25/2023] [Accepted: 09/22/2023] [Indexed: 10/12/2023] Open
Abstract
Rearrangements within the AUTS2 region are associated with a rare syndromic disorder with intellectual disability, developmental delay, and behavioral abnormalities as core features. In addition, smaller regional variants are linked to wide range of neuropsychiatric disorders, underscoring the gene's essential role in brain development. Like many essential neurodevelopmental genes, AUTS2 is large and complex, generating distinct long (AUTS2-l) and short (AUTS2-s) protein isoforms from alternative promoters. Although evidence suggests unique isoform functions, the contributions of each isoform to specific AUTS2-linked phenotypes have not been clearly resolved. Furthermore, Auts2 is widely expressed across the developing brain, but cell populations most central to disease presentation have not been determined. In this study, we focused on the specific roles of AUTS2-l in brain development, behavior, and postnatal brain gene expression, showing that brain-wide AUTS2-l ablation leads to specific subsets of the recessive pathologies associated with mutations in 3' exons (exons 8-19) that disrupt both major isoforms. We identify downstream genes that could explain expressed phenotypes including hundreds of putative direct AUTS2-l target genes. Furthermore, in contrast to 3' Auts2 mutations which lead to dominant hypoactivity, AUTS2-l loss-of-function is associated with dominant hyperactivity and repetitive behaviors, phenotypes exhibited by many human patients. Finally, we show that AUTS2-l ablation in Calbindin 1-expressing cell lineages is sufficient to yield learning/memory deficits and hyperactivity with abnormal dentate gyrus granule cell maturation, but not other phenotypic effects. These data provide new clues to in vivo AUTS2-l functions and novel information relevant to genotype-phenotype correlations in the human AUTS2 region.
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Affiliation(s)
- Yunshu Song
- Pacific Northwest Research Institute, Seattle WA 98122, USA
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | | | - Chih-Ying Chen
- Pacific Northwest Research Institute, Seattle WA 98122, USA
| | - Amber LeBlanc
- Pacific Northwest Research Institute, Seattle WA 98122, USA
| | | | - Lisa Stubbs
- Pacific Northwest Research Institute, Seattle WA 98122, USA
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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Abbott PW, Hardie JB, Walsh KP, Nessler AJ, Farley SJ, Freeman JH, Wemmie JA, Wendt L, Kim YC, Sowers LP, Parker KL. Knockdown of the Non-canonical Wnt Gene Prickle2 Leads to Cerebellar Purkinje Cell Abnormalities While Cerebellar-Mediated Behaviors Remain Intact. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-023-01648-9. [PMID: 38165577 PMCID: PMC11217148 DOI: 10.1007/s12311-023-01648-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/08/2023] [Indexed: 01/04/2024]
Abstract
Autism spectrum disorders (ASD) involve brain wide abnormalities that contribute to a constellation of symptoms including behavioral inflexibility, cognitive dysfunction, learning impairments, altered social interactions, and perceptive time difficulties. Although a single genetic variation does not cause ASD, genetic variations such as one involving a non-canonical Wnt signaling gene, Prickle2, has been found in individuals with ASD. Previous work looking into phenotypes of Prickle2 knock-out (Prickle2-/-) and heterozygous mice (Prickle2-/+) suggest patterns of behavior similar to individuals with ASD including altered social interaction and behavioral inflexibility. Growing evidence implicates the cerebellum in ASD. As Prickle2 is expressed in the cerebellum, this animal model presents a unique opportunity to investigate the cerebellar contribution to autism-like phenotypes. Here, we explore cerebellar structural and physiological abnormalities in animals with Prickle2 knockdown using immunohistochemistry, whole-cell patch clamp electrophysiology, and several cerebellar-associated motor and timing tasks, including interval timing and eyeblink conditioning. Histologically, Prickle2-/- mice have significantly more empty spaces or gaps between Purkinje cells in the posterior lobules and a decreased propensity for Purkinje cells to fire action potentials. These structural cerebellar abnormalities did not impair cerebellar-associated behaviors as eyeblink conditioning and interval timing remained intact. Therefore, although Prickle-/- mice show classic phenotypes of ASD, they do not recapitulate the involvement of the adult cerebellum and may not represent the pathophysiological heterogeneity of the disorder.
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Affiliation(s)
- Parker W Abbott
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
| | - Jason B Hardie
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
| | - Kyle P Walsh
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
| | - Aaron J Nessler
- Department of Biochemistry, The University of Iowa, Iowa City, IA, 52245, USA
| | | | - John H Freeman
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
| | - John A Wemmie
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
| | - Linder Wendt
- Department of Biostatistics, The University of Iowa, Iowa City, IA, 52245, USA
| | - Young-Cho Kim
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
- Department of Neurology, The University of Iowa, Iowa City, IA, 52245, USA
| | - Levi P Sowers
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA
- Department of Pediatrics, The University of Iowa, Iowa City, IA, 52245, USA
| | - Krystal L Parker
- Department of Psychiatry, Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52242, USA.
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, 52245, USA.
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Aljubour AA, AbdElBaki M, El Meligy O, Al Jabri B, Sabbagh H. Culturally Adapted Dental Visual Aids Effect on Behavior Management during Dental Visits in Children with Autism Spectrum Disorder. J Contemp Dent Pract 2024; 25:20-28. [PMID: 38514427 DOI: 10.5005/jp-journals-10024-3620] [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] [Indexed: 03/23/2024]
Abstract
AIM Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by unique behavioral patterns, treating children with ASD in the dental clinic has been a great challenge due to their behavior. This study aims to determine the effectiveness of culturally adapted dental visual aids in modifying behavior patterns during dental visits in children with ASD. MATERIALS AND METHODS A controlled, blinded, randomized, clinical trial, with 64 children diagnosed with ASD, were randomly divided into two groups. The study took place between January 2019 and January 2021. The experimental group was provided with culturally adapted dental visual aids created especially for this research and the control group was provided with universal dental visual aids. The children's behavior patterns were evaluated before and after using the dental visual aids. SPSS v.25 was used to process all the data. RESULTS Behavior patterns have modified significantly in the experimental group (p < 0.001) however, it was statistically insignificant in the control group (p = 0.077). In terms of behavioral patterns, the experimental group outperformed the control group significantly (p < 0.001). CONCLUSION The culturally adapted dental visual aids have shown effectiveness in modifying behavior patterns in children diagnosed with ASD during dental visits. CLINICAL SIGNIFICANCE By evaluating the impact of culturally adapted visual aids on behavior management, the study can enhance the accessibility and effectiveness of dental care for this vulnerable population, ultimately promoting better oral health outcomes and reducing potential trauma associated with dental visits for children with ASD. How to cite this article: Aljubour AA, AbdElBaki M, El Meligy O, et al. Culturally Adapted Dental Visual Aids Effect on Behavior Management during Dental Visits in Children with Autism Spectrum Disorder. J Contemp Dent Pract 2024;25(1):20-28.
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Affiliation(s)
- Ala Abdullah Aljubour
- Department of Pediatric Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia, Phone: +966 558884866, e-mail: , Orcid: https://orcid.org/0000-0002-1486-5828
| | - Medhat AbdElBaki
- Department of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Alexandria, Egypt, Orcid: https://orcid.org/0000-0002-6524-751X
| | - Omar El Meligy
- Department of Pediatric Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Alexandria, Egypt, Orcid: https://orcid.org/0000-0003-1069-6374
| | - Basma Al Jabri
- Department of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia, Orcid: https://orcid.org/0000-0003-1170-4188
| | - Heba Sabbagh
- Department of Pediatric Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia, Orcid: https://orcid.org/0000-0002-9788-0379
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38
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Park BY, Benkarim O, Weber CF, Kebets V, Fett S, Yoo S, Martino AD, Milham MP, Misic B, Valk SL, Hong SJ, Bernhardt BC. Connectome-wide structure-function coupling models implicate polysynaptic alterations in autism. Neuroimage 2024; 285:120481. [PMID: 38043839 DOI: 10.1016/j.neuroimage.2023.120481] [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] [Received: 05/20/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 12/05/2023] Open
Abstract
Autism spectrum disorder (ASD) is one of the most common neurodevelopmental diagnoses. Although incompletely understood, structural and functional network alterations are increasingly recognized to be at the core of the condition. We utilized multimodal imaging and connectivity modeling to study structure-function coupling in ASD and probed mono- and polysynaptic mechanisms on structurally-governed network function. We examined multimodal magnetic resonance imaging data in 80 ASD and 61 neurotypical controls from the Autism Brain Imaging Data Exchange (ABIDE) II initiative. We predicted intrinsic functional connectivity from structural connectivity data in each participant using a Riemannian optimization procedure that varies the times that simulated signals can unfold along tractography-derived personalized connectomes. In both ASD and neurotypical controls, we observed improved structure-function prediction at longer diffusion time scales, indicating better modeling of brain function when polysynaptic mechanisms are accounted for. Prediction accuracy differences (∆prediction accuracy) were marked in transmodal association systems, such as the default mode network, in both neurotypical controls and ASD. Differences were, however, lower in ASD in a polysynaptic regime at higher simulated diffusion times. We compared regional differences in ∆prediction accuracy between both groups to assess the impact of polysynaptic communication on structure-function coupling. This analysis revealed that between-group differences in ∆prediction accuracy followed a sensory-to-transmodal cortical hierarchy, with an increased gap between controls and ASD in transmodal compared to sensory/motor systems. Multivariate associative techniques revealed that structure-function differences reflected inter-individual differences in autistic symptoms and verbal as well as non-verbal intelligence. Our network modeling approach sheds light on atypical structure-function coupling in autism, and suggests that polysynaptic network mechanisms are implicated in the condition and that these can help explain its wide range of associated symptoms.
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Affiliation(s)
- Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; Department of Data Science, Inha University, Incheon, South Korea; Department of Statistics and Data Science, Inha University, Incheon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
| | - Oualid Benkarim
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Clara F Weber
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Valeria Kebets
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Serena Fett
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Seulki Yoo
- Convergence Research Institute, Sungkyunkwan University, Suwon, South Korea
| | - Adriana Di Martino
- Center for the Developing Brain, Child Mind Institute, New York, United States
| | - Michael P Milham
- Center for the Developing Brain, Child Mind Institute, New York, United States
| | - Bratislav Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Sofie L Valk
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Seok-Jun Hong
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; 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, South Korea
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
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Usui N. Possible roles of deep cortical neurons and oligodendrocytes in the neural basis of human sociality. Anat Sci Int 2024; 99:34-47. [PMID: 38010534 PMCID: PMC10771383 DOI: 10.1007/s12565-023-00747-1] [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: 05/22/2023] [Accepted: 10/17/2023] [Indexed: 11/29/2023]
Abstract
Sociality is an instinctive property of organisms that live in relation to others and is a complex characteristic of higher order brain functions. However, the evolution of the human brain to acquire higher order brain functions, such as sociality, and the neural basis for executing these functions and their control mechanisms are largely unknown. Several studies have attempted to evaluate how human sociality was acquired during the course of evolution and the mechanisms controlling sociality from a neurodevelopment viewpoint. This review discusses these findings in the context of human brain evolution and the pathophysiology of autism spectrum disorder (ASD). Comparative genomic studies of postmortem primate brains have demonstrated human-specific regulatory mechanisms underlying higher order brain functions, providing evidence for the contribution of oligodendrocytes to human brain function. Functional analyses of the causative genes of ASD in animal models have demonstrated that the neural basis of social behavior is associated with layer 6 (L6) of the neocortex and oligodendrocytes. These findings demonstrate that both neurons and oligodendrocytes contribute to the neural basis and molecular mechanisms underlying human brain evolution and social functioning. This review provides novel insights into sociability and the corresponding neural bases of brain disorders and evolution.
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Affiliation(s)
- Noriyoshi Usui
- Department of Neuroscience and Cell Biology, Graduate School of Medicine, Osaka University, Suita, 565-0871, Japan.
- Omics Center, Center of Medical Innovation and Translational Research, Graduate School of Medicine, Osaka University, Suita, 565-0871, Japan.
- United Graduate School of Child Development, Osaka University, Suita, 565-0871, Japan.
- Global Center for Medical Engineering and Informatics, Osaka University, Suita, 565-0871, Japan.
- Addiction Research Unit, Osaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Osaka, 541-8567, Japan.
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40
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Gibson JM, Vazquez AH, Yamashiro K, Jakkamsetti V, Ren C, Lei K, Dentel B, Pascual JM, Tsai PT. Cerebellar contribution to autism-relevant behaviors in fragile X syndrome models. Cell Rep 2023; 42:113533. [PMID: 38048226 PMCID: PMC10831814 DOI: 10.1016/j.celrep.2023.113533] [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: 11/21/2022] [Revised: 09/01/2023] [Accepted: 11/17/2023] [Indexed: 12/06/2023] Open
Abstract
Cerebellar dysfunction has been linked to autism spectrum disorders (ASDs). Although cerebellar pathology has been observed in individuals with fragile X syndrome (FXS) and in mouse models of the disorder, a cerebellar functional contribution to ASD-relevant behaviors in FXS has yet to be fully characterized. In this study, we demonstrate a critical cerebellar role for Fmr1 (fragile X messenger ribonucleoprotein 1) in ASD-relevant behaviors. First, we identify reduced social behaviors, sensory hypersensitivity, and cerebellar dysfunction, with loss of cerebellar Fmr1. We then demonstrate that cerebellar-specific expression of Fmr1 is sufficient to impact social, sensory, cerebellar dysfunction, and cerebro-cortical hyperexcitability phenotypes observed in global Fmr1 mutants. Moreover, we demonstrate that targeting the ASD-implicated cerebellar region Crus1 ameliorates behaviors in both cerebellar-specific and global Fmr1 mutants. Together, these results demonstrate a critical role for the cerebellar contribution to FXS-related behaviors, with implications for future therapeutic strategies.
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Affiliation(s)
- Jennifer M Gibson
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Anthony Hernandez Vazquez
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kunihiko Yamashiro
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Vikram Jakkamsetti
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Chongyu Ren
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Katherine Lei
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Brianne Dentel
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Juan M Pascual
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Peter T Tsai
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
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Al-Beltagi M. Pre-autism: What a paediatrician should know about early diagnosis of autism. World J Clin Pediatr 2023; 12:273-294. [PMID: 38178935 PMCID: PMC10762597 DOI: 10.5409/wjcp.v12.i5.273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/07/2023] [Accepted: 09/25/2023] [Indexed: 12/08/2023] Open
Abstract
Autism, also known as an autism spectrum disorder, is a complex neurodevelopmental disorder usually diagnosed in the first three years of a child's life. A range of symptoms characterizes it and can be diagnosed at any age, including adolescence and adulthood. However, early diagnosis is crucial for effective management, prognosis, and care. Unfortunately, there are no established fetal, prenatal, or newborn screening programs for autism, making early detection difficult. This review aims to shed light on the early detection of autism prenatally, natally, and early in life, during a stage we call as "pre-autism" when typical symptoms are not yet apparent. Some fetal, neonatal, and infant biomarkers may predict an increased risk of autism in the coming baby. By developing a biomarker array, we can create an objective diagnostic tool to diagnose and rank the severity of autism for each patient. These biomarkers could be genetic, immunological, hormonal, metabolic, amino acids, acute phase reactants, neonatal brainstem function biophysical activity, behavioral profile, body measurements, or radiological markers. However, every biomarker has its accuracy and limitations. Several factors can make early detection of autism a real challenge. To improve early detection, we need to overcome various challenges, such as raising community awareness of early signs of autism, improving access to diagnostic tools, reducing the stigma attached to the diagnosis of autism, and addressing various culturally sensitive concepts related to the disorder.
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Affiliation(s)
- Mohammed Al-Beltagi
- Department of Pediatric, Faculty of Medicine, Tanta University, Tanta 31511, Algahrbia, Egypt
- Department of Pediatric, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Dr. Sulaiman Al Habib Medical Group, Manama 26671, Manama, Bahrain
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Alrehaili RA, ElKady RM, Alrehaili JA, Alreefi RM. Exploring Early Childhood Autism Spectrum Disorders: A Comprehensive Review of Diagnostic Approaches in Young Children. Cureus 2023; 15:e50111. [PMID: 38186518 PMCID: PMC10771115 DOI: 10.7759/cureus.50111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Autism spectrum disorders (ASD) encompass a diverse range of developmental disabilities characterized by pervasive deficiencies in socialization, communication, and the manifestation of behavioral issues. This review aims to clarify the diagnostic criteria for ASD, explore available diagnostic tools, evaluate biomedical examinations facilitating ASD diagnosis, and discuss the approach to screening assessments for ASD. ASDs are prevalent conditions, with a globally estimated prevalence of 7.6 cases per 100 (one in 132), based on a comprehensive review of epidemiological studies. The precise cause of autism and other ASDs remains unknown; however, genetic and environmental factors likely contribute. Common signs and symptoms shared among individuals with autism include restricted repetitive behaviors and learning disabilities. Standardized methods, such as the Diagnostic and Statistical Manual, Fifth Edition (DSM-5), diagnostic instruments, a thorough medical history, multiple physical examinations, laboratory investigations, neuroimaging, and screening tests, play a pivotal role in early autism diagnosis and intervention. ASD is a lifelong neurodevelopmental condition characterized by multiple deficits. Early detection is anticipated to have a positive impact on outcomes.
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Affiliation(s)
- Ruba A Alrehaili
- Family Medicine, Academy of Family Medicine, Ministry of Health, Al-Madinah, SAU
| | - Reem M ElKady
- Radiology and Medical Imaging, Faculty of Medicine, Taibah University, Al-Madinah, SAU
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Shih YC, Nelson L, Janeček M, Peixoto RT. Late onset and regional heterogeneity of synaptic deficits in cortical PV interneurons of Shank3B -/- mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.23.568500. [PMID: 38045377 PMCID: PMC10690261 DOI: 10.1101/2023.11.23.568500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Epilepsy and epileptiform patterns of cortical activity are highly prevalent in autism spectrum disorders (ASDs), but the neural substrates and pathophysiological mechanisms underlying the onset of cortical dysfunction in ASD remains elusive. Reduced cortical expression of Parvalbumin (PV) has been widely observed in ASD mouse models and human postmortem studies, suggesting a crucial role of PV interneurons (PVINs) in ASD pathogenesis. Shank3B -/- mice carrying a Δ13-16 deletion in SHANK3 exhibit cortical hyperactivity during postnatal development and reduced sensory responses in cortical GABAergic interneurons in adulthood. However, whether these phenotypes are associated with PVIN dysfunction is unknown. Using whole-cell electrophysiology and a viral-based strategy to label PVINs during postnatal development, we performed a developmental characterization of AMPAR miniature excitatory postsynaptic currents (mEPSCs) in PVINs and pyramidal (PYR) neurons of layer (L) 2/3 mPFC in Shank3B -/- mice. Surprisingly, reduced mEPSC frequency was observed in both PYR and PVIN populations, but only in adulthood. At P15, when cortical hyperactivity is already observed, both neuron types exhibited normal mEPSC amplitude and frequency, suggesting that glutamatergic connectivity deficits in these neurons emerge as compensatory mechanisms. Additionally, we found normal mEPSCs in adult PVINs of L2/3 somatosensory cortex, revealing region-specific phenotypic differences of cortical PVINs in Shank3B -/- mice. Together, these results demonstrate that loss of Shank3 alters PVIN function but suggest that PVIN glutamatergic synapses are a suboptimal therapeutic target for normalizing early cortical imbalances in SHANK3-associated disorders. More broadly, these findings underscore the complexity of interneuron dysfunction in ASDs, prompting further exploration of region and developmental stage specific phenotypes for understanding and developing effective interventions.
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Sun S, Yu H, Yu R, Wang S. Functional connectivity between the amygdala and prefrontal cortex underlies processing of emotion ambiguity. Transl Psychiatry 2023; 13:334. [PMID: 37898626 PMCID: PMC10613296 DOI: 10.1038/s41398-023-02625-w] [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: 02/16/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 10/30/2023] Open
Abstract
Processing facial expressions of emotion draws on a distributed brain network. In particular, judging ambiguous facial emotions involves coordination between multiple brain areas. Here, we applied multimodal functional connectivity analysis to achieve network-level understanding of the neural mechanisms underlying perceptual ambiguity in facial expressions. We found directional effective connectivity between the amygdala, dorsomedial prefrontal cortex (dmPFC), and ventromedial PFC, supporting both bottom-up affective processes for ambiguity representation/perception and top-down cognitive processes for ambiguity resolution/decision. Direct recordings from the human neurosurgical patients showed that the responses of amygdala and dmPFC neurons were modulated by the level of emotion ambiguity, and amygdala neurons responded earlier than dmPFC neurons, reflecting the bottom-up process for ambiguity processing. We further found parietal-frontal coherence and delta-alpha cross-frequency coupling involved in encoding emotion ambiguity. We replicated the EEG coherence result using independent experiments and further showed modulation of the coherence. EEG source connectivity revealed that the dmPFC top-down regulated the activities in other brain regions. Lastly, we showed altered behavioral responses in neuropsychiatric patients who may have dysfunctions in amygdala-PFC functional connectivity. Together, using multimodal experimental and analytical approaches, we have delineated a neural network that underlies processing of emotion ambiguity.
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Affiliation(s)
- Sai Sun
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University 6-3 Aramaki aza Aoba, Aoba-ku, Sendai, 980-8578, Japan.
- Research Institute of Electrical Communication, Tohoku University 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan.
| | - Hongbo Yu
- Department of Psychological & Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Rongjun Yu
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China
| | - Shuo Wang
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA.
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45
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Tizabi Y, Bennani S, El Kouhen N, Getachew B, Aschner M. Interaction of Heavy Metal Lead with Gut Microbiota: Implications for Autism Spectrum Disorder. Biomolecules 2023; 13:1549. [PMID: 37892231 PMCID: PMC10605213 DOI: 10.3390/biom13101549] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Autism Spectrum Disorder (ASD), a neurodevelopmental disorder characterized by persistent deficits in social interaction and communication, manifests in early childhood and is followed by restricted and stereotyped behaviors, interests, or activities in adolescence and adulthood (DSM-V). Although genetics and environmental factors have been implicated, the exact causes of ASD have yet to be fully characterized. New evidence suggests that dysbiosis or perturbation in gut microbiota (GM) and exposure to lead (Pb) may play important roles in ASD etiology. Pb is a toxic heavy metal that has been linked to a wide range of negative health outcomes, including anemia, encephalopathy, gastroenteric diseases, and, more importantly, cognitive and behavioral problems inherent to ASD. Pb exposure can disrupt GM, which is essential for maintaining overall health. GM, consisting of trillions of microorganisms, has been shown to play a crucial role in the development of various physiological and psychological functions. GM interacts with the brain in a bidirectional manner referred to as the "Gut-Brain Axis (GBA)". In this review, following a general overview of ASD and GM, the interaction of Pb with GM in the context of ASD is emphasized. The potential exploitation of this interaction for therapeutic purposes is also touched upon.
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Affiliation(s)
- Yousef Tizabi
- Department of Pharmacology, Howard University College of Medicine, Washington, DC 20059, USA
| | - Samia Bennani
- Faculty of Medicine and Pharmacy of Casablanca, Hassan II University, Casablanca 20100, Morocco
| | - Nacer El Kouhen
- Faculty of Medicine and Pharmacy of Casablanca, Hassan II University, Casablanca 20100, Morocco
| | - Bruk Getachew
- Department of Pharmacology, Howard University College of Medicine, Washington, DC 20059, USA
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
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Iosif CI, Bashir ZI, Apps R, Pickford J. Cerebellar Prediction and Feeding Behaviour. CEREBELLUM (LONDON, ENGLAND) 2023; 22:1002-1019. [PMID: 36121552 PMCID: PMC10485105 DOI: 10.1007/s12311-022-01476-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
Given the importance of the cerebellum in controlling movements, it might be expected that its main role in eating would be the control of motor elements such as chewing and swallowing. Whilst such functions are clearly important, there is more to eating than these actions, and more to the cerebellum than motor control. This review will present evidence that the cerebellum contributes to homeostatic, motor, rewarding and affective aspects of food consumption.Prediction and feedback underlie many elements of eating, as food consumption is influenced by expectation. For example, circadian clocks cause hunger in anticipation of a meal, and food consumption causes feedback signals which induce satiety. Similarly, the sight and smell of food generate an expectation of what that food will taste like, and its actual taste will generate an internal reward value which will be compared to that expectation. Cerebellar learning is widely thought to involve feed-forward predictions to compare expected outcomes to sensory feedback. We therefore propose that the overarching role of the cerebellum in eating is to respond to prediction errors arising across the homeostatic, motor, cognitive, and affective domains.
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Affiliation(s)
- Cristiana I Iosif
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.
| | - Zafar I Bashir
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK
| | - Richard Apps
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK
| | - Jasmine Pickford
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK
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47
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Nordahl CW. Why do we need sex-balanced studies of autism? Autism Res 2023; 16:1662-1669. [PMID: 37382167 PMCID: PMC10527473 DOI: 10.1002/aur.2971] [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: 04/28/2023] [Accepted: 06/03/2023] [Indexed: 06/30/2023]
Abstract
Males are diagnosed with autism much more frequently than females, and most research study samples reflect this male predominance. The result is that autistic females are understudied. There is a critical need to increase our understanding of autistic females, both biologically and clinically. The only way to do this is to recruit sex-balanced cohorts in studies so that similarities and differences between males and females can be evaluated in all autism research studies. The purpose of this commentary is to (1) provide historical context about how females came to be under-represented in all research, not just in the field of autism and (2) learn from other areas of health and medicine about the potentially dire consequences of not studying both sexes, and (3) draw attention to the need to recruit sex-balanced cohorts in autism research, particularly in neuroimaging studies.
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Affiliation(s)
- Christine Wu Nordahl
- Department of Psychiatry and Behavioral Sciences, MIND Institute, UC Davis, Sacramento, California, USA
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Pan N, Lin LZ, Wang X, Shi L, Xu XY, Jin YY, Tan S, Song XJ, Jing J, Li XH. Brain structure underlying the empathizing-systemizing difference in children with autism spectrum disorder. World J Pediatr 2023; 19:782-792. [PMID: 37273174 DOI: 10.1007/s12519-023-00732-8] [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] [Received: 01/10/2023] [Accepted: 05/09/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Behavioral research has shown that children with autism spectrum disorder (ASD) have a higher empathizing-systemizing difference (D score) than normal children. However, there is no research about the neuroanatomical mechanisms of the empathizing-systemizing difference in children with ASD. METHODS Participants comprised 41 children with ASD and 39 typically developing (TD) children aged 6‒12 years. Empathizing-systemizing difference was estimated using the D score from the Chinese version of Children's Empathy Quotient and Systemizing Quotient. We quantified brain morphometry, including global and regional brain volumes and surface-based cortical measures (cortical thickness, surface area, and gyrification) via structural magnetic resonance imaging. RESULTS We found that the D score was significantly negatively associated with amygdala gray matter volume [β = -0.16; 95% confidence interval (CI): -0.30, -0.02; P value = 0.030] in children with ASD. There was a significantly negative association between D score and gyrification in the left lateral occipital cortex (LOC) in children with ASD (B = -0.10; SE = 0.03; cluster-wise P value = 0.006) and a significantly positive association between D score and gyrification in the right fusiform in TD children (B = 0.10; SE = 0.03; cluster-wise P value = 0.022). Moderation analyses demonstrated significant interactions between D score and diagnosed group in amygdala gray matter volume (β = 0.19; 95% CI 0.04, 0.35; P value = 0.013) and left LOC gyrification (β = 0.11; 95% CI 0.05, 0.17; P value = 0.001) but not in right fusiform gyrification (β = 0.08; 95% CI -0.02, 0.17; P value = 0.105). CONCLUSIONS Neuroanatomical variation in amygdala volume and gyrification of LOC could be potential biomarkers for the empathizing-systemizing difference in children with ASD but not in TD children. Large-scale neuroimaging studies are necessary to test the replicability of our findings.
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Affiliation(s)
- Ning Pan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xin Wang
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, Guangzhou, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Lei Shi
- JNU-HKUST Joint Laboratory for Neuroscience and Innovative Drug Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China
| | - Xiao-Yu Xu
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Yu-Ying Jin
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China
| | - Si Tan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China
| | - Xiao-Jing Song
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China
| | - Xiu-Hong Li
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, China.
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You Y, Correas A, White DR, Wagner LC, Jao Keehn RJ, Rosen BQ, Alemu K, Müller RA, Marinkovic K. Mapping access to meaning in adolescents with autism: Atypical lateralization and spatiotemporal patterns as a function of language ability. Neuroimage Clin 2023; 39:103467. [PMID: 37454468 PMCID: PMC10371850 DOI: 10.1016/j.nicl.2023.103467] [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: 01/08/2023] [Revised: 06/22/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023]
Abstract
Individuals with autism spectrum disorders (ASD) vary in their language abilities, associated with atypical patterns of brain activity. However, few studies have examined the spatiotemporal profiles of lexico-semantic processing in ASD, particularly as a function of language heterogeneity. Thirty-nine high-functioning adolescents with ASD and 21 typically developing (TD) peers took part in a lexical decision task that combined semantic access with demands on cognitive control. Spatiotemporal characteristics of the processing stages were examined with a multimodal anatomically-constrained magnetoencephalography (aMEG) approach, which integrates MEG with structural MRI. Additional EEG data were acquired from a limited montage simultaneously with MEG. TD adolescents showed the canonical left-dominant activity in frontotemporal regions during both early (N250m) and late (N400m) stages of lexical access and semantic integration. In contrast, the ASD participants showed bilateral engagement of the frontotemporal language network, indicative of compensatory recruitment of the right hemisphere. The left temporal N400m was prominent in both groups, confirming preserved attempts to access meaning. In contrast, the left prefrontal N400m was reduced in ASD participants, consistent with impaired semantic/contextual integration and inhibitory control. To further investigate the impact of language proficiency, the ASD sample was stratified into high- and low-performing (H-ASD and L-ASD) subgroups based on their task accuracy. The H-ASD subgroup performed on par with the TD group and showed greater activity in the right prefrontal and bilateral temporal cortices relative to the L-ASD subgroup, suggesting compensatory engagement. The L-ASD subgroup additionally showed reduced and delayed left prefrontal N400m, consistent with more profound semantic and executive impairments in this subgroup. These distinct spatiotemporal activity profiles reveal the neural underpinnings of the ASD-specific access to meaning and provide insight into the phenotypic heterogeneity of language in ASD, which may be a result of different neurodevelopmental trajectories and adoption of compensatory strategies.
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Affiliation(s)
- Yuqi You
- Department of Psychology, San Diego State University, San Diego, CA, United States; Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Angeles Correas
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - David R White
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Laura C Wagner
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - R Joanne Jao Keehn
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Burke Q Rosen
- Department of Psychology, San Diego State University, San Diego, CA, United States; Department of Neurosciences, University of California San Diego, San Diego, CA, United States
| | - Kalekirstos Alemu
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Ralph-Axel Müller
- Department of Psychology, San Diego State University, San Diego, CA, United States; Joint Doctoral Program in Clinical Psychology, San Diego State University and University of California San Diego, San Diego, CA, United States
| | - Ksenija Marinkovic
- Department of Psychology, San Diego State University, San Diego, CA, United States; Joint Doctoral Program in Clinical Psychology, San Diego State University and University of California San Diego, San Diego, CA, United States; Department of Radiology, University of California San Diego, San Diego, CA, United States.
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50
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Vörös D, Kiss O, Ollmann T, Mintál K, Péczely L, Zagoracz O, Kertes E, Kállai V, László BR, Berta B, Toth A, Lénárd L, László K. Intraamygdaloid Oxytocin Increases Time Spent on Social Interaction in Valproate-Induced Autism Animal Model. Biomedicines 2023; 11:1802. [PMID: 37509444 PMCID: PMC10376246 DOI: 10.3390/biomedicines11071802] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/16/2023] [Accepted: 06/17/2023] [Indexed: 07/30/2023] Open
Abstract
Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that affects about 1.5% of children worldwide. One of the core symptoms is impaired social interaction. Since proper treatment has not been found yet, an investigation of the exact pathophysiology of autism is essential. The valproate (VPA)-induced rat model can be an appropriate way to study autism. Oxytocin (OT) may amend some symptoms of ASD since it plays a key role in developing social relationships. In the present study, we investigated the effect of the intraamygdaloid OT on sham and intrauterine VPA-treated rats' social interaction using Crawley's social interaction test. Bilateral guide cannulae were implanted above the central nucleus of the amygdala (CeA), and intraamygdaloid microinjections were carried out before the test. Our results show that male Wistar rats prenatally exposed to VPA spent significantly less time on social interaction. Bilateral OT microinjection increased the time spent in the social zone; it also reached the level of sham-control animals. OT receptor antagonist blocked this effect of the OT but in itself did not significantly influence the behavior of the rats. Based on our results, we can establish that intraamygdaloid OT has significantly increased time spent on social interaction in the VPA-induced autism model, and its effect is receptor-specific.
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Affiliation(s)
- Dávid Vörös
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Orsolya Kiss
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Tamás Ollmann
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Kitti Mintál
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Cellular Bioimpedance Research Group, Szentágothai Research Center, University of Pécs, 7602 Pécs, Hungary
| | - László Péczely
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Olga Zagoracz
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Erika Kertes
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Veronika Kállai
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Bettina Réka László
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
| | - Beáta Berta
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Learning in Biological and Artificial Systems Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
| | - Attila Toth
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Cellular Bioimpedance Research Group, Szentágothai Research Center, University of Pécs, 7602 Pécs, Hungary
| | - László Lénárd
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
- Molecular Endocrinology and Neurophysiology Research Group, Szentágothai Center, University of Pécs, 7602 Pécs, Hungary
| | - Kristóf László
- Medical School, Institute of Physiology, University of Pécs, Szigeti Str. 12, 7602 Pécs, Hungary
- Neuropeptides, Cognition, Animal Models of Neuropsychiatric Disorders Research Group, Medical School, Institute of Physiology, University of Pécs, 7602 Pécs, Hungary
- Neuroscience Center, University of Pécs, 7602 Pécs, Hungary
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