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Maw KJ, Beattie G, Burns EJ. Cognitive strengths in neurodevelopmental disorders, conditions and differences: A critical review. Neuropsychologia 2024; 197:108850. [PMID: 38467371 DOI: 10.1016/j.neuropsychologia.2024.108850] [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: 06/05/2023] [Revised: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 03/13/2024]
Abstract
Neurodevelopmental disorders are traditionally characterised by a range of associated cognitive impairments in, for example, sensory processing, facial recognition, visual imagery, attention, and coordination. In this critical review, we propose a major reframing, highlighting the variety of unique cognitive strengths that people with neurodevelopmental differences can exhibit. These include enhanced visual perception, strong spatial, auditory, and semantic memory, superior empathy and theory of mind, along with higher levels of divergent thinking. Whilst we acknowledge the heterogeneity of cognitive profiles in neurodevelopmental conditions, we present a more encouraging and affirmative perspective of these groups, contrasting with the predominant, deficit-based position prevalent throughout both cognitive and neuropsychological research. In addition, we provide a theoretical basis and rationale for these cognitive strengths, arguing for the critical role of hereditability, behavioural adaptation, neuronal-recycling, and we draw on psychopharmacological and social explanations. We present a table of potential strengths across conditions and invite researchers to systematically investigate these in their future work. This should help reduce the stigma around neurodiversity, instead promoting greater social inclusion and significant societal benefits.
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Wang Y, Cao R, Chakravarthula PN, Yu H, Wang S. Atypical neural encoding of faces in individuals with autism spectrum disorder. Cereb Cortex 2024; 34:172-186. [PMID: 38696606 PMCID: PMC11065108 DOI: 10.1093/cercor/bhae060] [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: 12/11/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 05/04/2024] Open
Abstract
Individuals with autism spectrum disorder (ASD) experience pervasive difficulties in processing social information from faces. However, the behavioral and neural mechanisms underlying social trait judgments of faces in ASD remain largely unclear. Here, we comprehensively addressed this question by employing functional neuroimaging and parametrically generated faces that vary in facial trustworthiness and dominance. Behaviorally, participants with ASD exhibited reduced specificity but increased inter-rater variability in social trait judgments. Neurally, participants with ASD showed hypo-activation across broad face-processing areas. Multivariate analysis based on trial-by-trial face responses could discriminate participant groups in the majority of the face-processing areas. Encoding social traits in ASD engaged vastly different face-processing areas compared to controls, and encoding different social traits engaged different brain areas. Interestingly, the idiosyncratic brain areas encoding social traits in ASD were still flexible and context-dependent, similar to neurotypicals. Additionally, participants with ASD also showed an altered encoding of facial saliency features in the eyes and mouth. Together, our results provide a comprehensive understanding of the neural mechanisms underlying social trait judgments in ASD.
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Affiliation(s)
- Yue Wang
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States
| | - Runnan Cao
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States
| | - Puneeth N Chakravarthula
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States
| | - Hongbo Yu
- Department of Psychological & Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, United States
| | - Shuo Wang
- Department of Radiology, Washington University in St. Louis, 4525 Scott Ave, St. Louis, MO 63110, United States
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3
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Guan Z, Yu J, Shi Z, Liu X, Yu R, Lai T, Yang C, Dong H, Chen R, Wei L. Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification. Comput Biol Med 2024; 174:108415. [PMID: 38599070 DOI: 10.1016/j.compbiomed.2024.108415] [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: 09/10/2023] [Revised: 03/17/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that requires objective and accurate identification methods for effective early intervention. Previous population-based methods via functional connectivity (FC) analysis ignore the differences between positive and negative FCs, which provide the potential information complementarity. And they also require additional information to construct a pre-defined graph. Meanwhile, two challenging demand attentions are the imbalance of performance caused by the class distribution and the inherent heterogeneity of multi-site data. In this paper, we propose a novel dynamic graph Transformer network based on dual-view connectivity for ASD Identification. It is based on the Autoencoders, which regard the input feature as individual feature and without any inductive bias. First, a dual-view feature extractor is designed to extract individual and complementary information from positive and negative connectivity. Then Graph Transformer network is innovated with a hot plugging K-Nearest Neighbor (KNN) algorithm module which constructs a dynamic population graph without any additional information. Additionally, we introduce the PolyLoss function and the Vrex method to address the class imbalance and improve the model's generalizability. The evaluation experiment on 1102 subjects from the ABIDE I dataset demonstrates our method can achieve superior performance over several state-of-the-art methods and satisfying generalizability for ASD identification.
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Affiliation(s)
- Zihao Guan
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Jiaming Yu
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Zhenshan Shi
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350002, China
| | - Xiumei Liu
- Developmental and Behavior Pediatrics Department, Fujian Children's Hospital - Fujian Branch of Shanghai Children's Medical Center, Fuzhou, 350002, China; College of Clinical Medicine for Obstetrics Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350012, China
| | - Renping Yu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Taotao Lai
- College of Computer and Control Engineering, Minjiang University, Fuzhou, 350108, China
| | - Changcai Yang
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Heng Dong
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Riqing Chen
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Lifang Wei
- College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
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4
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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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5
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Zhang X, Noah JA, Singh R, McPartland JC, Hirsch J. Support vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact. Sci Rep 2024; 14:3232. [PMID: 38332184 PMCID: PMC10853508 DOI: 10.1038/s41598-024-53942-z] [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: 08/31/2023] [Accepted: 02/06/2024] [Indexed: 02/10/2024] Open
Abstract
Social difficulties during interactions with others are central to autism spectrum disorder (ASD). Understanding the links between these social difficulties and their underlying neural processes is a primary aim focused on improved diagnosis and treatment. In keeping with this goal, we have developed a multivariate classification method based on neural data acquired by functional near infrared spectroscopy, fNIRS, during live eye-to-eye contact with adults who were either typically developed (TD) or individuals with ASD. The ASD diagnosis was based on the gold-standard Autism Diagnostic Observation Schedule (ADOS) which also provides an index of symptom severity. Using a nested cross-validation method, a support vector machine (SVM) was trained to discriminate between ASD and TD groups based on the neural responses during eye-to-eye contact. ADOS scores were not applied in the classification training. To test the hypothesis that SVM identifies neural activity patterns related to one of the neural mechanisms underlying the behavioral symptoms of ASD, we determined the correlation coefficient between the SVM scores and the individual ADOS scores. Consistent with the hypothesis, the correlation between observed and predicted ADOS scores was 0.72 (p < 0.002). Findings suggest that multivariate classification methods combined with the live interaction paradigm of eye-to-eye contact provide a promising approach to link neural processes and social difficulties in individuals with ASD.
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Affiliation(s)
- Xian Zhang
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 902, New Haven, CT, USA
| | - J Adam Noah
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 902, New Haven, CT, USA
| | - Rahul Singh
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 902, New Haven, CT, USA
- Wu Tsai Institute, Yale University New Haven, New Haven, CT, 06511, USA
| | - James C McPartland
- Yale Child Study Center, Nieson Irving Harris Building, 230 South Frontage Road, Floor G, Suite 100A, New Haven, CT, 06519, USA
- Center for Brain and Mind Health, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Joy Hirsch
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 902, New Haven, CT, USA.
- Wu Tsai Institute, Yale University New Haven, New Haven, CT, 06511, USA.
- Center for Brain and Mind Health, Yale School of Medicine, New Haven, CT, 06511, USA.
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06511, USA.
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06511, USA.
- Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
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Duarte-Campos JF, Vázquez-Moreno CN, Martínez-Marcial M, Chavarría A, Ramírez-Carreto RJ, Velasco Velázquez MA, De La Fuente-Granada M, González-Arenas A. Changes in neuroinflammatory markers and microglial density in the hippocampus and prefrontal cortex of the C58/J mouse model of autism. Eur J Neurosci 2024; 59:154-173. [PMID: 38057955 DOI: 10.1111/ejn.16204] [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: 05/27/2023] [Revised: 10/20/2023] [Accepted: 11/08/2023] [Indexed: 12/08/2023]
Abstract
Autism spectrum disorder (ASD) is a diverse group of neurodevelopmental conditions with complex origins. Individuals with ASD present various neurobiological abnormalities, including an altered immune response in the central nervous system and other tissues. Animal models like the C58/J inbred mouse strain are used to study biological characteristics of ASD. This strain is considered an idiopathic autism model because of its demonstrated reduced social preference and repetitive behaviours. Notably, C58/J mice exhibit alterations in dendritic arbour complexity, density and dendritic spines maturation in the hippocampus and prefrontal cortex (PFC), but inflammatory-related changes have not been explored in these mice. In this study, we investigated proinflammatory markers in the hippocampus and PFC of adult male C58/J mice. We discovered elevated levels of interferon gamma (IFN-γ) and monocyte chemoattractant protein 1 (MCP-1) in the hippocampus, suggesting increased inflammation, alongside a reduction in the anti-inflammatory enzyme arginase 1 (ARG1). Conversely, the PFC displayed reduced levels of TNF-α and MCP-1. Microglial analysis revealed higher levels of transmembrane protein 119 (TMEM119) and increased microglial density in a region-specific manner of the autistic-like mice, particularly in the PFC and hippocampus. Additionally, an augmented expression of the fractalkine receptor CX3CR1 was observed in the hippocampus and PFC of C58/J mice. Microglial morphological analysis shows no evident changes in the hippocampus of mice with autistic-like behaviours versus wild-type strain. These region-specific changes can contribute to modulate processes like inflammation or synaptic pruning in the C58/J mouse model of idiopathic autism.
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Affiliation(s)
- Juan F Duarte-Campos
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - C Noé Vázquez-Moreno
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Mónica Martínez-Marcial
- Unidad de Modelos Biológicos, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Anahí Chavarría
- Unidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Ricardo Jair Ramírez-Carreto
- Unidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Marco A Velasco Velázquez
- Departamento de Farmacología, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Marisol De La Fuente-Granada
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Aliesha González-Arenas
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
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7
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Oblong LM, Llera A, Mei T, Haak K, Isakoglou C, Floris DL, Durston S, Moessnang C, Banaschewski T, Baron-Cohen S, Loth E, Dell'Acqua F, Charman T, Murphy DGM, Ecker C, Buitelaar JK, Beckmann CF, Forde NJ. Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study. Mol Autism 2023; 14:32. [PMID: 37653516 PMCID: PMC10472578 DOI: 10.1186/s13229-023-00564-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/14/2023] [Indexed: 09/02/2023] Open
Abstract
Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism. We utilised multimodal MRI (T1-, diffusion-weighted and resting state functional), behavioural and clinical data from the EU AIMS Longitudinal European Autism Project (LEAP) from autistic (n = 206) and non-autistic (n = 196) participants. Of these, 97 had data from 2 timepoints resulting in a total scan number of 466. Grey matter density maps, probabilistic tractography connectivity matrices and connectopic maps were extracted from respective MRI modalities and were then integrated with Linked Independent Component Analysis. Linear mixed-effects models were used to evaluate the relationship between components and group while accounting for covariates and non-independence of participants with longitudinal data. Additional models were run to investigate associations with dimensional measures of behaviour. We identified one component that differed significantly between groups (coefficient = 0.33, padj = 0.02). This was driven (99%) by variance of the right fusiform gyrus connectopic map 2. While there were multiple nominal (uncorrected p < 0.05) associations with behavioural measures, none were significant following multiple comparison correction. Our analysis considered the relative contributions of both structural and functional brain phenotypes simultaneously, finding that functional phenotypes drive associations with autism. These findings expanded on previous unimodal studies by revealing the topographic organisation of functional connectivity patterns specific to autism and warrant further investigation.
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Affiliation(s)
- Lennart M Oblong
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands.
| | - Alberto Llera
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Ting Mei
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Koen Haak
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Christina Isakoglou
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Sarah Durston
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carolin Moessnang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Flavio Dell'Acqua
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Christine Ecker
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Natalie J Forde
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
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White SW, Siegle GJ, Kana R, Rothman EF. Pathways to Psychopathology Among Autistic Adults. Curr Psychiatry Rep 2023; 25:315-325. [PMID: 37378790 PMCID: PMC11078254 DOI: 10.1007/s11920-023-01429-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/20/2023] [Indexed: 06/29/2023]
Abstract
PURPOSE OF REVIEW Autistic adults frequently require treatment of mental health problems. Increased rates of suicidality and diminished quality of life among autistic people may be partially attributable to psychiatric symptoms. Some risk factors for mental health problems in autistic people are likely the same as risk factors present in neurotypical individuals, but unique factors that are specific to neurodivergent individuals, and some even more specific to autistic people, may exist. Understanding pathways from autism to mental health problems could inform intervention efforts at the individual and societal levels. RECENT FINDINGS We review a growing body of research identifying risk processes across the affective, cognitive, and social domains. Consistent with the principle of equifinality, different processes appear to independently and jointly lead to heightened risk for the onset of mental health problems. Autistic adults frequently utilize mental healthcare services, and experience heightened risk for chronic impairment as a result of mental health problems. Understanding causal and developmental risk processes in autism should inform personalized treatment. We synthesize extant research on these processes and offer suggestions for addressing them therapeutically and societally.
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Affiliation(s)
- Susan W White
- Center for Youth Development and Intervention, Department of Psychology, The University of Alabama, Tuscaloosa, AL, USA
| | - Greg J Siegle
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rajesh Kana
- Center for Innovative Research in Autism, Department of Psychology, The University of Alabama, Tuscaloosa, AL, USA
| | - Emily F Rothman
- Department of Occupational Therapy, Boston University, Boston, MA, USA
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Chen J, Wei Z, Xu C, Peng Z, Yang J, Wan G, Chen B, Gong J, Zhou K. Social visual preference mediates the effect of cortical thickness on symptom severity in children with autism spectrum disorder. Front Psychiatry 2023; 14:1132284. [PMID: 37398604 PMCID: PMC10311909 DOI: 10.3389/fpsyt.2023.1132284] [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: 12/27/2022] [Accepted: 05/29/2023] [Indexed: 07/04/2023] Open
Abstract
Background Evidence suggests that there is a robust relationship between altered neuroanatomy and autistic symptoms in individuals with autism spectrum disorder (ASD). Social visual preference, which is regulated by specific brain regions, is also related to symptom severity. However, there were a few studies explored the potential relationships among brain structure, symptom severity, and social visual preference. Methods The current study investigated relationships among brain structure, social visual preference, and symptom severity in 43 children with ASD and 26 typically developing (TD) children (aged 2-6 years). Results Significant differences were found in social visual preference and cortical morphometry between the two groups. Decreased percentage of fixation time in digital social images (%DSI) was negatively related to not only the thickness of the left fusiform gyrus (FG) and right insula, but also the Calibrated Severity Scores for the Autism Diagnostic Observation Schedule-Social Affect (ADOS-SA-CSS). Mediation analysis showed that %DSI partially mediated the relationship between neuroanatomical alterations (specifically, thickness of the left FG and right insula) and symptom severity. Conclusion These findings offer initial evidence that atypical neuroanatomical alterations may not only result in direct effects on symptom severity but also lead to indirect effects on symptom severity through social visual preference. This finding enhances our understanding of the multiple neural mechanisms implicated in ASD.
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Affiliation(s)
- Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
| | - Chuangyong Xu
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Junjie Yang
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Guobin Wan
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Bin Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jianhua Gong
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Keying Zhou
- Department of Pediatrics, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, China
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Hadjikhani N, Åsberg Johnels J. Overwhelmed by the man in the moon? Pareidolic objects provoke increased amygdala activation in autism. Cortex 2023; 164:144-151. [PMID: 37209610 DOI: 10.1016/j.cortex.2023.03.014] [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: 10/28/2022] [Revised: 01/27/2023] [Accepted: 03/28/2023] [Indexed: 05/22/2023]
Abstract
An interesting feature of the primate face detection system results in the perception of illusory faces in objects, or pareidolia. These illusory faces do not per se contain social information, such as eye-gaze or specific identities, yet they activate the cortical brain face-processing network, possibly via the subcortical route, including the amygdala. In autism spectrum disorder (ASD), aversion to eye-contact is commonly reported, and so are alterations in face processing more generally, yet the underlying reasons are not clear. Here we show that in autistic participants (N=37), but not in non-autistic controls (N=34), pareidolic objects increase amygdala activation bilaterally (right amygdala peak: X = 26, Y = -6, Z = -16; left amygdala peak X = -24, Y = -6, Z = -20). In addition, illusory faces engage the face-processing cortical network significantly more in ASD than in controls. An early imbalance in the excitatory and inhibitory systems in autism, affecting typical brain maturation, may be at the basis of an overresponsive reaction to face configuration and to eye contact. Our data add to the evidence of an oversensitive subcortical face processing system in ASD.
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Affiliation(s)
- Nouchine Hadjikhani
- Neurolimbic Research, Harvard/MGH Martinos Center for Biomedical Imaging, Boston, MA, USA; Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden.
| | - Jakob Åsberg Johnels
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden; Section of Speech and Language Pathology, Institute of Neuroscience and Physiology, University of Gothenburg, Sweden
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11
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D'Mello AM, Frosch IR, Meisler SL, Grotzinger H, Perrachione TK, Gabrieli JDE. Diminished Repetition Suppression Reveals Selective and Systems-Level Face Processing Differences in ASD. J Neurosci 2023; 43:1952-1962. [PMID: 36759192 PMCID: PMC10027049 DOI: 10.1523/jneurosci.0608-22.2023] [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: 03/21/2022] [Revised: 01/24/2023] [Accepted: 01/28/2023] [Indexed: 02/11/2023] Open
Abstract
Repeated exposure to a stimulus results in reduced neural response, or repetition suppression, in brain regions responsible for processing that stimulus. This rapid accommodation to repetition is thought to underlie learning, stimulus selectivity, and strengthening of perceptual expectations. Importantly, reduced sensitivity to repetition has been identified in several neurodevelopmental, learning, and psychiatric disorders, including autism spectrum disorder (ASD), a neurodevelopmental disorder characterized by challenges in social communication and repetitive behaviors and restricted interests. Reduced ability to exploit or learn from repetition in ASD is hypothesized to contribute to sensory hypersensitivities, and parallels several theoretical frameworks claiming that ASD individuals show difficulty using regularities in the environment to facilitate behavior. Using fMRI in autistic and neurotypical human adults (females and males), we assessed the status of repetition suppression across two modalities (vision, audition) and with four stimulus categories (faces, objects, printed words, and spoken words). ASD individuals showed domain-specific reductions in repetition suppression for face stimuli only, but not for objects, printed words, or spoken words. Reduced repetition suppression for faces was associated with greater challenges in social communication in ASD. We also found altered functional connectivity between atypically adapting cortical regions and higher-order face recognition regions, and microstructural differences in related white matter tracts in ASD. These results suggest that fundamental neural mechanisms and system-wide circuits are selectively altered for face processing in ASD and enhance our understanding of how disruptions in the formation of stable face representations may relate to higher-order social communication processes.SIGNIFICANCE STATEMENT A common finding in neuroscience is that repetition results in plasticity in stimulus-specific processing regions, reflecting selectivity and adaptation (repetition suppression [RS]). RS is reduced in several neurodevelopmental and psychiatric conditions including autism spectrum disorder (ASD). Theoretical frameworks of ASD posit that reduced adaptation may contribute to associated challenges in social communication and sensory processing. However, the scope of RS differences in ASD is unknown. We examined RS for multiple categories across visual and auditory domains (faces, objects, printed words, spoken words) in autistic and neurotypical individuals. We found reduced RS in ASD for face stimuli only and altered functional connectivity and white matter microstructure between cortical face-recognition areas. RS magnitude correlated with social communication challenges among autistic individuals.
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Affiliation(s)
- Anila M D'Mello
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139
| | - Isabelle R Frosch
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139
| | - Steven L Meisler
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, Massachusetts, 02115
| | - Hannah Grotzinger
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139
| | - Tyler K Perrachione
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215
| | - John D E Gabrieli
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139
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12
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Ma H, Cao Y, Li M, Zhan L, Xie Z, Huang L, Gao Y, Jia X. Abnormal amygdala functional connectivity and deep learning classification in multifrequency bands in autism spectrum disorder: A multisite functional magnetic resonance imaging study. Hum Brain Mapp 2023; 44:1094-1104. [PMID: 36346215 PMCID: PMC9875923 DOI: 10.1002/hbm.26141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/19/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022] Open
Abstract
Previous studies have explored resting-state functional connectivity (rs-FC) of the amygdala in patients with autism spectrum disorder (ASD). However, it remains unclear whether there are frequency-specific FC alterations of the amygdala in ASD and whether FC in specific frequency bands can be used to distinguish patients with ASD from typical controls (TCs). Data from 306 patients with ASD and 314 age-matched and sex-matched TCs were collected from 28 sites in the Autism Brain Imaging Data Exchange database. The bilateral amygdala, defined as the seed regions, was used to perform seed-based FC analyses in the conventional, slow-5, and slow-4 frequency bands at each site. Image-based meta-analyses were used to obtain consistent brain regions across 28 sites in the three frequency bands. By combining generative adversarial networks and deep neural networks, a deep learning approach was applied to distinguish patients with ASD from TCs. The meta-analysis results showed frequency band specificity of FC in ASD, which was reflected in the slow-5 frequency band instead of the conventional and slow-4 frequency bands. The deep learning results showed that, compared with the conventional and slow-4 frequency bands, the slow-5 frequency band exhibited a higher accuracy of 74.73%, precision of 74.58%, recall of 75.05%, and area under the curve of 0.811 to distinguish patients with ASD from TCs. These findings may help us to understand the pathological mechanisms of ASD and provide preliminary guidance for the clinical diagnosis of ASD.
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Affiliation(s)
- Huibin Ma
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yikang Cao
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Mengting Li
- College of Teacher Education, Zhejiang Normal University, Jinhua, China.,Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, Jinhua, China
| | - Linlin Zhan
- Faculty of Western Languages, Heilongjiang University, Harbin, China
| | - Zhou Xie
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Lina Huang
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China
| | - Yanyan Gao
- College of Teacher Education, Zhejiang Normal University, Jinhua, China.,Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China
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13
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O’Hearn K, Lynn A. Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder. Front Hum Neurosci 2023; 16:957375. [PMID: 36819297 PMCID: PMC9934814 DOI: 10.3389/fnhum.2022.957375] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/07/2022] [Indexed: 02/05/2023] Open
Abstract
Studies comparing individuals with autism spectrum disorder (ASD) to typically developing (TD) individuals have yielded inconsistent results. These inconsistencies reflect, in part, atypical trajectories of development in children and young adults with ASD compared to TD peers. These different trajectories alter group differences between children with and without ASD as they age. This paper first summarizes the disparate trajectories evident in our studies and, upon further investigation, laboratories using the same recruiting source. These studies indicated that cognition improves into adulthood typically, and is associated with the maturation of striatal, frontal, and temporal lobes, but these age-related improvements did not emerge in the young adults with ASD. This pattern - of improvement into adulthood in the TD group but not in the group with ASD - occurred in both social and non-social tasks. However, the difference between TD and ASD trajectories was most robust on a social task, face recognition. While tempting to ascribe this uneven deficit to the social differences in ASD, it may also reflect the prolonged typical development of social cognitive tasks such as face recognition into adulthood. This paper then reviews the evidence on age-related and developmental changes from other studies on ASD. The broader literature also suggests that individuals with ASD do not exhibit the typical improvements during adolescence on skills important for navigating the transition to adulthood. These skills include execution function, social cognition and communication, and emotional recognition and self-awareness. Relatedly, neuroimaging studies indicate arrested or atypical brain maturation in striatal, frontal, and temporal regions during adolescence in ASD. This review not only highlights the importance of a developmental framework and explicit consideration of age and/or stage when studying ASD, but also the potential importance of adolescence on outcomes in ASD.
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Affiliation(s)
- Kirsten O’Hearn
- Department of Physiology and Pharmacology, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, United States,*Correspondence: Kirsten O’Hearn,
| | - Andrew Lynn
- Department of Special Education, Vanderbilt University, Nashville, TN, United States
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14
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Chen J, Zhang C, Wang R, Jiang P, Cai H, Zhao W, Zhu J, Yu Y. Molecular basis underlying functional connectivity of fusiform gyrus subregions: A transcriptome-neuroimaging spatial correlation study. Cortex 2022; 152:59-73. [DOI: 10.1016/j.cortex.2022.03.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 02/13/2022] [Accepted: 03/30/2022] [Indexed: 01/07/2023]
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15
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Sha Z, van Rooij D, Anagnostou E, Arango C, Auzias G, Behrmann M, Bernhardt B, Bolte S, Busatto GF, Calderoni S, Calvo R, Daly E, Deruelle C, Duan M, Duran FLS, Durston S, Ecker C, Ehrlich S, Fair D, Fedor J, Fitzgerald J, Floris DL, Franke B, Freitag CM, Gallagher L, Glahn DC, Haar S, Hoekstra L, Jahanshad N, Jalbrzikowski M, Janssen J, King JA, Lazaro L, Luna B, McGrath J, Medland SE, Muratori F, Murphy DGM, Neufeld J, O'Hearn K, Oranje B, Parellada M, Pariente JC, Postema MC, Remnelius KL, Retico A, Rosa PGP, Rubia K, Shook D, Tammimies K, Taylor MJ, Tosetti M, Wallace GL, Zhou F, Thompson PM, Fisher SE, Buitelaar JK, Francks C. Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium. Mol Psychiatry 2022; 27:2114-2125. [PMID: 35136228 PMCID: PMC9126820 DOI: 10.1038/s41380-022-01452-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 12/23/2021] [Accepted: 01/14/2022] [Indexed: 12/30/2022]
Abstract
Small average differences in the left-right asymmetry of cerebral cortical thickness have been reported in individuals with autism spectrum disorder (ASD) compared to typically developing controls, affecting widespread cortical regions. The possible impacts of these regional alterations in terms of structural network effects have not previously been characterized. Inter-regional morphological covariance analysis can capture network connectivity between different cortical areas at the macroscale level. Here, we used cortical thickness data from 1455 individuals with ASD and 1560 controls, across 43 independent datasets of the ENIGMA consortium's ASD Working Group, to assess hemispheric asymmetries of intra-individual structural covariance networks, using graph theory-based topological metrics. Compared with typical features of small-world architecture in controls, the ASD sample showed significantly altered average asymmetry of networks involving the fusiform, rostral middle frontal, and medial orbitofrontal cortex, involving higher randomization of the corresponding right-hemispheric networks in ASD. A network involving the superior frontal cortex showed decreased right-hemisphere randomization. Based on comparisons with meta-analyzed functional neuroimaging data, the altered connectivity asymmetry particularly affected networks that subserve executive functions, language-related and sensorimotor processes. These findings provide a network-level characterization of altered left-right brain asymmetry in ASD, based on a large combined sample. Altered asymmetrical brain development in ASD may be partly propagated among spatially distant regions through structural connectivity.
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Affiliation(s)
- Zhiqiang Sha
- Department of Language & Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Institute of Psychiatry and Mental Health, Gregorio Maran General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Universit, CNRS, Marseille, France
| | - Marlene Behrmann
- Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Sven Bolte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Australia
| | - Geraldo F Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Sara Calderoni
- IRCCS Stella Maris Foundation, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Rosa Calvo
- Department of Child and Adolescent Psychiatry and Psychology Hospital Clinic, Psychiatry Unit, Department of Medicine, 2017SGR881, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience King's College London, London, UK
| | - Christine Deruelle
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Universit, CNRS, Marseille, France
| | - Meiyu Duan
- BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Fabio Luis Souza Duran
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Sarah Durston
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
- The Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Stefan Ehrlich
- Department of Child and Adolescent Psychiatry & Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Damien Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute of the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Jennifer Fedor
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jacqueline Fitzgerald
- Department of Psychiatry, School of Medicine, Trinity College, Dublin, Ireland
- The Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Louise Gallagher
- Department of Psychiatry, School of Medicine, Trinity College, Dublin, Ireland
- The Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, 02115-5724, USA
- Olin Neuropsychiatric Research Center, Hartford, CT, USA
| | - Shlomi Haar
- Department of Brain Sciences, Imperial College London, London, UK
| | - Liesbeth Hoekstra
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Joost Janssen
- Child and Adolescent Psychiatry Department, Institute of Psychiatry and Mental Health, Gregorio Maran General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Joseph A King
- Department of Child and Adolescent Psychiatry & Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology Hospital Clinic, Psychiatry Unit, Department of Medicine, 2017SGR881, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jane McGrath
- Department of Psychiatry, School of Medicine, Trinity College, Dublin, Ireland
- The Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Filippo Muratori
- IRCCS Stella Maris Foundation, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Declan G M Murphy
- The Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, London, UK
| | - Janina Neufeld
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Kirsten O'Hearn
- Department of Physiology and Pharmacology, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA
| | - Bob Oranje
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mara Parellada
- Child and Adolescent Psychiatry Department, Institute of Psychiatry and Mental Health, Gregorio Maran General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Jose C Pariente
- Magnetic Resonance Image Core Facility, IDIBAPS (Institut d'Investigacions Biomdiques August Pi i Sunyer), Barcelona, Spain
| | - Merel C Postema
- Department of Language & Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Karl Lundin Remnelius
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Alessandra Retico
- National Institute for Nuclear Physics, Pisa Division, Largo B. Pontecorvo 3, Pisa, Italy
| | - Pedro Gomes Penteado Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Katya Rubia
- Institute of Psychiatry, King's College London, London, UK
| | - Devon Shook
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kristiina Tammimies
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region, Stockholm, Sweden
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Womens and Childrens Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Margot J Taylor
- Diagnostic Imaging, The Hospital for Sick Children, and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | | | - Gregory L Wallace
- Department of Speech, Language, and Hearing Sciences, The George Washington University, Washington, DC, USA
| | - Fengfeng Zhou
- BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - Simon E Fisher
- Department of Language & Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Clyde Francks
- Department of Language & Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
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16
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Bathelt J, Koolschijn PCM, Geurts HM. Atypically slow processing of faces and non-faces in older autistic adults. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 26:1737-1751. [PMID: 34961340 PMCID: PMC9483195 DOI: 10.1177/13623613211065297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Face recognition is a fundamental function that requires holistic processing. Differences in face processing have been consistently identified in autistic children, but it is unknown whether these differences persist across the adult lifespan. Using event-related functional magnetic resonance imaging, we measured holistic face processing with a rapid Mooney faces task in 50 autistic and 49 non-autistic participants (30–74 years). Behavioral tasks included a self-paced version of the same paradigm and a global–local processing task (Navon). Reduced detection rates for faces, but not non-faces, were found in autistic adults, including slower responses on all conditions. Without time constraints, differences in accuracy disappeared between groups, although reaction times in correctly identifying faces remained higher in autistic adults. The functional magnetic resonance imaging results showed lower activation in the left and right superior frontal gyrus in the autism group but no age-related differences. Overall, our findings point toward slower information processing speed rather than a face recognition deficit in autistic adults. This suggests that face-processing differences are not a core feature of autism across the adult lifespan.
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Affiliation(s)
- Joe Bathelt
- University of Amsterdam, The Netherlands.,Royal Holloway, University of London, UK
| | | | - Hilde M Geurts
- University of Amsterdam, The Netherlands.,Leo Kannerhuis, Youz/Parnassiagroup, The Netherlands
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17
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Patterson G, Cummings KK, Jung J, Okada NJ, Tottenham N, Bookheimer SY, Dapretto M, Green SA. Effects of sensory distraction and salience priming on emotion identification in autism: an fMRI study. J Neurodev Disord 2021; 13:42. [PMID: 34556059 PMCID: PMC8461948 DOI: 10.1186/s11689-021-09391-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 06/22/2021] [Indexed: 11/25/2022] Open
Abstract
Background Social interaction often occurs in noisy environments with many extraneous sensory stimuli. This is especially relevant for youth with autism spectrum disorders (ASD) who commonly experience sensory over-responsivity (SOR) in addition to social challenges. However, the relationship between SOR and social difficulties is still poorly understood and thus rarely addressed in interventions. This study investigated the effect of auditory sensory distracters on neural processing of emotion identification in youth with ASD and the effects of increasing attention to social cues by priming participants with their own emotional faces. Methods While undergoing functional magnetic resonance imaging (fMRI), 30 youth with ASD and 24 typically developing (TD) age-matched controls (ages 8–17 years) identified faces as happy or angry with and without simultaneously hearing aversive environmental noises. Halfway through the task, participants also viewed videos of their own emotional faces. The relationship between parent-rated auditory SOR and brain responses during the task was also examined. Results Despite showing comparable behavioral performance on the task, ASD and TD youth demonstrated distinct patterns of neural activity. Compared to TD, ASD youth showed greater increases in amygdala, insula, and primary sensory regions when identifying emotions with noises compared to no sounds. After viewing videos of their own emotion faces, ASD youth showed greater increases in medial prefrontal cortex activation compared to TD youth. Within ASD youth, lower SOR was associated with reduced increased activity in subcortical regions after the prime and greater increased activity in the ventromedial prefrontal cortex after the prime, particularly in trials with noises. Conclusions The results suggest that the sensory environment plays an important role in how ASD youth process social information. Additionally, we demonstrated that increasing attention to relevant social cues helps ASD youth engage frontal regions involved in higher-order social cognition, a mechanism that could be targeted in interventions. Importantly, the effect of the intervention may depend on individual differences in SOR, supporting the importance of pre-screening youth for sensory challenges prior to social interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s11689-021-09391-0.
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Affiliation(s)
| | - Kaitlin K Cummings
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA.,Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Jiwon Jung
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA
| | - Nana J Okada
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA.,Havard Medical School, Boston, USA
| | - Nim Tottenham
- Department of Psychology, Columbia University, New York, USA
| | - Susan Y Bookheimer
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA
| | - Mirella Dapretto
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA.,Ahmanson-Lovelace Brain Mapping Center, 660 Charles E. Young Drive South, Los Angeles, CA, 90095, USA
| | - Shulamite A Green
- Jane and Terry Semel Institute of Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA. .,Ahmanson-Lovelace Brain Mapping Center, 660 Charles E. Young Drive South, Los Angeles, CA, 90095, USA.
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18
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Banker SM, Gu X, Schiller D, Foss-Feig JH. Hippocampal contributions to social and cognitive deficits in autism spectrum disorder. Trends Neurosci 2021; 44:793-807. [PMID: 34521563 DOI: 10.1016/j.tins.2021.08.005] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 07/07/2021] [Accepted: 08/10/2021] [Indexed: 10/20/2022]
Abstract
Autism spectrum disorder (ASD) is characterized by hallmark impairments in social functioning. Nevertheless, nonsocial cognition, including hippocampus-dependent spatial reasoning and episodic memory, is also commonly impaired in ASD. ASD symptoms typically emerge between 12 and 24 months of age, a time window associated with critical developmental events in the hippocampus. Despite this temporal overlap and evidence of hippocampal structural abnormalities in ASD individuals, relatively few human studies have focused on hippocampal function in ASD. Herein, we review the existing evidence for the involvement of the hippocampus in ASD and highlight the hippocampus as a promising area of interest for future research in ASD.
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Affiliation(s)
- Sarah M Banker
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Xiaosi Gu
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniela Schiller
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jennifer H Foss-Feig
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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19
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Ibrahim K, Soorya LV, Halpern DB, Gorenstein M, Siper PM, Wang AT. Social cognitive skills groups increase medial prefrontal cortex activity in children with autism spectrum disorder. Autism Res 2021; 14:2495-2511. [PMID: 34486810 DOI: 10.1002/aur.2603] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 07/25/2021] [Accepted: 08/09/2021] [Indexed: 12/21/2022]
Abstract
Few studies have examined the neural mechanisms of change following social skills interventions for children with autism spectrum disorder (ASD). This study examined the neural effects of social cognitive skills groups during functional MRI (fMRI) tasks of irony comprehension and eye gaze processing in school-aged children with ASD. Verbally fluent children (ages 8-11) were randomized to social cognitive skills groups or facilitated play comparison groups. Behavioral assessments and fMRI scans were obtained at baseline and endpoint (12 weeks). During fMRI, children completed two separate tasks to engage social cognition circuitry: comprehension of potentially ironic scenarios (n = 34) and viewing emotionally expressive faces with direct or averted gaze (n = 24). Whole-brain analyses were conducted to examine neural changes following treatment. Regression analyses were also conducted to explore the relationship between neural and behavioral changes. When comparing the two groups directly, the social cognitive skills group showed greater increases in activity in the medial prefrontal cortex (mPFC), implicated in theory of mind, relative to the comparison group for both irony comprehension and gaze processing tasks. Increased mPFC activity during the irony task was associated with improvement in social functioning on the Social Responsiveness Scale across both groups. Findings indicate that social cognitive skills interventions may increase activity in regions associated with social cognition and mentalizing abilities. LAY SUMMARY: Social skills groups are a common intervention for school-aged children with ASD. However, few studies have examined the neural response to social skills groups in school-aged children with ASD. Here, we report on a study evaluating neural outcomes from an empirically supported social cognitive skills training curriculum using fMRI. This study seeks to understand the effects of targeting emotion recognition and theory of mind on the brain circuitry involved in social cognition in verbally fluent children ages 8-11. Results indicate increased neural activity in the mPFC, a region considered to be a central hub of the "social brain," in children randomized to social cognitive skills groups relative to a comparison group that received a high-quality, child-directed play approach. In addition, increased activation in the mPFC during an irony comprehension task was associated with gains in social functioning across both groups from pre- to post-treatment. This is the first fMRI study of social skills treatment outcomes following a randomized trial with an active treatment condition in school-aged children with ASD.
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Affiliation(s)
- Karim Ibrahim
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Latha V Soorya
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Rush Medical College, Rush University, Chicago, Illinois, USA
| | - Danielle B Halpern
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michelle Gorenstein
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paige M Siper
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - A Ting Wang
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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20
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Scherrer B, Prohl AK, Taquet M, Kapur K, Peters JM, Tomas-Fernandez X, Davis PE, M Bebin E, Krueger DA, Northrup H, Y Wu J, Sahin M, Warfield SK. The Connectivity Fingerprint of the Fusiform Gyrus Captures the Risk of Developing Autism in Infants with Tuberous Sclerosis Complex. Cereb Cortex 2021; 30:2199-2214. [PMID: 31812987 DOI: 10.1093/cercor/bhz233] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 09/05/2019] [Accepted: 09/12/2019] [Indexed: 12/13/2022] Open
Abstract
Tuberous sclerosis complex (TSC) is a rare genetic disorder characterized by benign tumors throughout the body; it is generally diagnosed early in life and has a high prevalence of autism spectrum disorder (ASD), making it uniquely valuable in studying the early development of autism, before neuropsychiatric symptoms become apparent. One well-documented deficit in ASD is an impairment in face processing. In this work, we assessed whether anatomical connectivity patterns of the fusiform gyrus, a central structure in face processing, capture the risk of developing autism early in life. We longitudinally imaged TSC patients at 1, 2, and 3 years of age with diffusion compartment imaging. We evaluated whether the anatomical connectivity fingerprint of the fusiform gyrus was associated with the risk of developing autism measured by the Autism Observation Scale for Infants (AOSI). Our findings suggest that the fusiform gyrus connectivity captures the risk of developing autism as early as 1 year of age and provides evidence that abnormal fusiform gyrus connectivity increases with age. Moreover, the identified connections that best capture the risk of developing autism involved the fusiform gyrus and limbic and paralimbic regions that were consistent with the ASD phenotype, involving an increased number of left-lateralized structures with increasing age.
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Affiliation(s)
- Benoit Scherrer
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Anna K Prohl
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Maxime Taquet
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Kush Kapur
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Jurriaan M Peters
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Xavier Tomas-Fernandez
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Peter E Davis
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Elizabeth M Bebin
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35233 USA
| | - Darcy A Krueger
- Department of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229 USA
| | - Hope Northrup
- Department of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030 USA
| | - Joyce Y Wu
- Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095 USA
| | - Mustafa Sahin
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
| | - Simon K Warfield
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115 USA
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21
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Helt MS, Sorensen TM, Scheub RJ, Nakhle MB, Luddy AC. Patterns of Contagious Yawning and Itching Differ Amongst Adults With Autistic Traits vs. Psychopathic Traits. Front Psychol 2021; 12:645310. [PMID: 33897548 PMCID: PMC8063025 DOI: 10.3389/fpsyg.2021.645310] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/01/2021] [Indexed: 12/27/2022] Open
Abstract
Both individuals with diagnosed with Autism Spectrum Disorder (ASD) and individuals high in psychopathic traits show reduced susceptibility to contagious yawning; that is, yawning after seeing or hearing another person yawn. Yet it is unclear whether the same underlying processes (e.g., reduced eye gaze) are responsible for the relationship between reduced contagion and these very different types of clinical traits. College Students (n = 97) watched videos of individuals yawning or scratching (a form of contagion not reliant on eye gaze for transmission) while their eye movements were tracked. They completed the Interpersonal Reactivity Index (IRI), the Autism-Spectrum Quotient (AQ), the Psychopathy Personality Inventory-Revised (PPI-R), and the Adolescent and Adult Sensory Processing Disorder Checklist. Both psychopathic traits and autistic traits showed an inverse relationship to contagious yawning, consistent with previous research. However, the relationship between autistic (but not psychopathic) traits and contagious yawning was moderated by eye gaze. Furthermore, participants high in autistic traits showed typical levels of contagious itching whereas adults high in psychopathic traits showed diminished itch contagion. Finally, only psychopathic traits were associated with lower overall levels of empathy. The findings imply that the underlying processes contributing to the disruptions in contagious yawning amongst individuals high in autistic vs. psychopathic traits are distinct. In contrast to adults high in psychopathic traits, diminished contagion may appear amongst people with high levels of autistic traits secondary to diminished attention to the faces of others, and in the absence of a background deficit in emotional empathy.
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Affiliation(s)
- Molly S. Helt
- Departments of Psychology and Neuroscience, Trinity College, Hartford, CT, United States
| | - Taylor M. Sorensen
- Departments of Psychology and Neuroscience, Trinity College, Hartford, CT, United States
- New England Center for Children, Southborough, MA, United States
| | - Rachel J. Scheub
- Departments of Psychology and Neuroscience, Trinity College, Hartford, CT, United States
- Albany Medical College, Albany, NY, United States
| | - Mira B. Nakhle
- Departments of Psychology and Neuroscience, Trinity College, Hartford, CT, United States
- Department of Public Health, Boston University, Boston, MA, United States
| | - Anna C. Luddy
- Departments of Psychology and Neuroscience, Trinity College, Hartford, CT, United States
- Mass General Hospital, Boston, MA, United States
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22
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Age differences in Neural Activation to Face Trustworthiness: Voxel Pattern and Activation Level Assessments. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:278-291. [PMID: 33751423 DOI: 10.3758/s13415-021-00868-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/17/2021] [Indexed: 11/08/2022]
Abstract
Judgment of trustworthiness is an important social ability. Many studies show neural activation differences to variations in face trustworthiness in brain reward regions. A previously published analysis of the present fMRI data showed that older adults' (OA) reward region activation responded significantly to trustworthiness in a set of older and younger faces, whereas younger adults' (YA) activation did not-a finding inconsistent with studies that used only younger faces. We hypothesized that voxel pattern analyses would be more sensitive to YA neural responses to trustworthiness in our set of faces, replicating YA neural discrimination in prior literature. Based on evidence for OA neural dedifferentiation, we also hypothesized that voxel pattern analyses would more accurately classify YA than OA neural responses to face trustworthiness. We reanalyzed the data with two pattern classification models and evaluated the models' performance with permutation testing. Voxel patterns discriminated face trustworthiness levels in both YA and OA reward regions, while allowing better classification of face trustworthiness for YA than OA, the reverse of previous results for neural activation levels. The moderation of age differences by analytic method shines a light on the possibility that voxel patterns uniquely index neural representations of the stimulus information content, consistent with findings of impaired representation with age.
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23
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Kovarski K, Charpentier J, Roux S, Batty M, Houy-Durand E, Gomot M. Emotional visual mismatch negativity: a joint investigation of social and non-social dimensions in adults with autism. Transl Psychiatry 2021; 11:10. [PMID: 33414385 PMCID: PMC7791028 DOI: 10.1038/s41398-020-01133-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/27/2020] [Accepted: 12/03/2020] [Indexed: 11/17/2022] Open
Abstract
Unusual behaviors and brain activity to socio-emotional stimuli have been reported in Autism Spectrum Disorder (ASD). Atypical reactivity to change and intolerance of uncertainty are also present, but little is known on their possible impact on facial expression processing in autism. The visual mismatch negativity (vMMN) is an electrophysiological response automatically elicited by changing events such as deviant emotional faces presented among regular neutral faces. While vMMN has been found altered in ASD in response to low-level changes in simple stimuli, no study has investigated this response to visual social stimuli. Here two deviant expressions were presented, neutral and angry, embedded in a sequence of repetitive neutral stimuli. vMMN peak analyses were performed for latency and amplitude in early and late time windows. The ASD group presented smaller amplitude of the late vMMN to both neutral and emotional deviants compared to the typically developed adults (TD) group, and only the TD group presented a sustained activity related to emotional change (i.e., angry deviant). Source reconstruction of the vMMNs further revealed that any change processing elicited a reduced activity in ASD group compared to TD in the saliency network, while the specific processing emotional change elicited activity in the temporal region and in the insula. This study confirms atypical change processing in ASD and points to a specific difficulty in the processing of emotional changes, potentially playing a crucial role in social interaction deficits. Nevertheless, these results require to be further replicated with a greater sample size and generalized to other emotional expressions.
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Affiliation(s)
- Klara Kovarski
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France. .,Hôpital Fondation Adolphe de Rothschild, Paris, France. .,Université de Paris, CNRS, Integrative Neuroscience and Cognition Center, 75006, Paris, France.
| | | | - Sylvie Roux
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France
| | - Magali Batty
- grid.508721.9Université de Toulouse, CERPPS, Toulouse, France
| | - Emmanuelle Houy-Durand
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France ,grid.411167.40000 0004 1765 1600CHRU de Tours, Centre Universitaire de Pédopsychiatrie, Tours, France
| | - Marie Gomot
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France
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24
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Hendriks MHA, Dillen C, Vettori S, Vercammen L, Daniels N, Steyaert J, Op de Beeck H, Boets B. Neural processing of facial identity and expression in adults with and without autism: A multi-method approach. NEUROIMAGE-CLINICAL 2020; 29:102520. [PMID: 33338966 PMCID: PMC7750419 DOI: 10.1016/j.nicl.2020.102520] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 10/23/2020] [Accepted: 11/30/2020] [Indexed: 11/28/2022]
Abstract
The ability to recognize faces and facial expressions is a common human talent. It has, however, been suggested to be impaired in individuals with autism spectrum disorder (ASD). The goal of this study was to compare the processing of facial identity and emotion between individuals with ASD and neurotypicals (NTs). Behavioural and functional magnetic resonance imaging (fMRI) data from 46 young adults (aged 17-23 years, NASD = 22, NNT = 24) was analysed. During fMRI data acquisition, participants discriminated between short clips of a face transitioning from a neutral to an emotional expression. Stimuli included four identities and six emotions. We performed behavioural, univariate, multi-voxel, adaptation and functional connectivity analyses to investigate potential group differences. The ASD-group did not differ from the NT-group on behavioural identity and expression processing tasks. At the neural level, we found no differences in average neural activation, neural activation patterns and neural adaptation to faces in face-related brain regions. In terms of functional connectivity, we found that amygdala seems to be more strongly connected to inferior occipital cortex and V1 in individuals with ASD. Overall, the findings indicate that neural representations of facial identity and expression have a similar quality in individuals with and without ASD, but some regions containing these representations are connected differently in the extended face processing network.
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Affiliation(s)
- Michelle H A Hendriks
- Department of Brain and Cognition, KU Leuven, Tiensestraat 102 - bus 3714, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium
| | - Claudia Dillen
- Department of Brain and Cognition, KU Leuven, Tiensestraat 102 - bus 3714, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium
| | - Sofie Vettori
- Centre for Developmental Psychiatry, KU Leuven, Kapucijnenvoer 7 blok h - bus 7001, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium
| | - Laura Vercammen
- Department of Brain and Cognition, KU Leuven, Tiensestraat 102 - bus 3714, Leuven, Belgium
| | - Nicky Daniels
- Department of Brain and Cognition, KU Leuven, Tiensestraat 102 - bus 3714, Leuven, Belgium; Centre for Developmental Psychiatry, KU Leuven, Kapucijnenvoer 7 blok h - bus 7001, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium
| | - Jean Steyaert
- Centre for Developmental Psychiatry, KU Leuven, Kapucijnenvoer 7 blok h - bus 7001, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium
| | - Hans Op de Beeck
- Department of Brain and Cognition, KU Leuven, Tiensestraat 102 - bus 3714, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Bart Boets
- Centre for Developmental Psychiatry, KU Leuven, Kapucijnenvoer 7 blok h - bus 7001, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium; Leuven Autism Research Consortium, KU Leuven, Leuven, Belgium.
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25
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Ammons CJ, Winslett ME, Kana RK. Neural responses to viewing human faces in autism spectrum disorder: A quantitative meta-analysis of two decades of research. Neuropsychologia 2020; 150:107694. [PMID: 33249169 DOI: 10.1016/j.neuropsychologia.2020.107694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 11/20/2020] [Accepted: 11/21/2020] [Indexed: 11/15/2022]
Abstract
The human face communicates a wealth of socially relevant information such as person identity, emotion, and intention. A consistent behavioral finding in autism spectrum disorder (ASD) is reduced attention to or difficulty drawing meaning from faces. However, neuroimaging research into the neural correlates of face processing differences in ASD has returned mixed results. While many studies find hypo-activation or hypo-connectivity of core and extended face network regions, others show hyper-activation, equal activation, or even activation shifted to object-selective fusiform gyrus (FG) regions in ASD during face processing. This study consolidates two decades of literature to reveal common and consistent patterns of brain activation when viewing human faces in ASD. It also addresses whether face processing in ASD is routinely shifted to object-centric regions of the FG. To do so, we conducted an extensive search of the neuroimaging literature according to PRISMA guidelines. Peak activation coordinates from a final set of 23 studies, yielding a sample of 713 participants (338 ASD), were included for quantitative meta-analysis using Activation Likelihood Estimation (ALE). ASD within-group results across studies revealed a single activation cluster in the left FG, which presented laterally to the mid-fusiform sulcus (MFS). Typically developing groups displayed common activations across core and extended face network regions. Exploratory analysis of between group findings from the literature did not yield significant results. Overall, our results suggest that individuals with ASD consistently activate at least one typical face network region, the left FG, when processing faces and this activation is not routinely shifted to object-centric areas of the FG.
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Affiliation(s)
- Carla J Ammons
- Department of Psychology, University of Alabama at Birmingham, USA; Department of Neuropsychology, Children's Healthcare of Atlanta, USA; Emory University School of Medicine, USA.
| | | | - Rajesh K Kana
- Department of Psychology, University of Alabama at Birmingham, USA; Department of Psychology and the Center for Innovative Research in Autism, University of Alabama, USA.
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26
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Samaey C, Van der Donck S, van Winkel R, Boets B. Facial Expression Processing Across the Autism-Psychosis Spectra: A Review of Neural Findings and Associations With Adverse Childhood Events. Front Psychiatry 2020; 11:592937. [PMID: 33281648 PMCID: PMC7691238 DOI: 10.3389/fpsyt.2020.592937] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 10/09/2020] [Indexed: 11/13/2022] Open
Abstract
Autism spectrum disorder (ASD) and primary psychosis are classified as distinct neurodevelopmental disorders, yet they display overlapping epidemiological, environmental, and genetic components as well as endophenotypic similarities. For instance, both disorders are characterized by impairments in facial expression processing, a crucial skill for effective social communication, and both disorders display an increased prevalence of adverse childhood events (ACE). This narrative review provides a brief summary of findings from neuroimaging studies investigating facial expression processing in ASD and primary psychosis with a focus on the commonalities and differences between these disorders. Individuals with ASD and primary psychosis activate the same brain regions as healthy controls during facial expression processing, albeit to a different extent. Overall, both groups display altered activation in the fusiform gyrus and amygdala as well as altered connectivity among the broader face processing network, probably indicating reduced facial expression processing abilities. Furthermore, delayed or reduced N170 responses have been reported in ASD and primary psychosis, but the significance of these findings is questioned, and alternative frequency-tagging electroencephalography (EEG) measures are currently explored to capture facial expression processing impairments more selectively. Face perception is an innate process, but it is also guided by visual learning and social experiences. Extreme environmental factors, such as adverse childhood events, can disrupt normative development and alter facial expression processing. ACE are hypothesized to induce altered neural facial expression processing, in particular a hyperactive amygdala response toward negative expressions. Future studies should account for the comorbidity among ASD, primary psychosis, and ACE when assessing facial expression processing in these clinical groups, as it may explain some of the inconsistencies and confound reported in the field.
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Affiliation(s)
- Celine Samaey
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
| | - Stephanie Van der Donck
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Ruud van Winkel
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center (UPC), KU Leuven, Leuven, Belgium
| | - Bart Boets
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
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27
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Ammons CJ, Winslett ME, Bice J, Patel P, May KE, Kana RK. The Mid-Fusiform Sulcus in Autism Spectrum Disorder: Establishing a Novel Anatomical Landmark Related to Face Processing. Autism Res 2020; 14:53-64. [PMID: 33174665 DOI: 10.1002/aur.2425] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 01/13/2023]
Abstract
Despite decades of research, the brain basis of aberrant face processing in autism spectrum disorder (ASD) remains a topic of debate. The mid-fusiform sulcus (MFS), a minor feature of the ventral occipitotemporal cortex, provides new directions for studying face processing. The MFS closely aligns with face-selective cortical patches and other structural and functional divisions of the fusiform gyrus; however, it has received little attention in clinical populations. We collected structural MRI data from 54 individuals with ASD and 61 age-and-IQ-matched controls ages 8 to 40 years. The MFS was identified on cortical surface reconstructions via 4 trained raters and classified into known surface patterns. Mean MFS gray matter volume (GMV), cortical surface area (SA), cortical thickness (CT), and standard deviation of CT (CT SD) were extracted. Effects of diagnosis, age, and hemisphere on MFS surface presentation and morphometry were assessed via multinomial logistic regression and mixed effects general linear modeling, respectively. The MFS was reliably identified in 97% of hemispheres examined. Macroanatomical patterns and age-related decreases in MFS GMV and CT were similar between groups. CT SD was greater in the left hemisphere in ASD. Participants' ability to interpret emotions and mental states from facial features was significantly negatively correlated with MFS CT and CT SD. Overall, the MFS is a stable feature of the fusiform gyrus in ASD and CT related measures appear to be sensitive to diagnosis and behavior. These results can inform future investigations of face processing and structure-function relationships in populations with social deficits. LAY SUMMARY: A small structural feature of the brain related to seeing faces (the mid-fusiform sulcus; MFS) appears similar in autism spectrum disorder (ASD) and neurotypical development; however, the thickness of this structure on the left side of the brain is more variable in ASD. People who are better at judging mental states from another person's eyes tend to have thinner and less variable MFS. This feature may teach us more about face processing and how brain structure influences function in ASD.
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Affiliation(s)
- Carla J Ammons
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Jamie Bice
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Priyanka Patel
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kaitlyn E May
- Department of Educational Studies in Psychology, Research Methodology, and Counseling, University of Alabama, Tuscaloosa, Alabama, USA
| | - Rajesh K Kana
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Department of Psychology, & Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA
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Emotional contagion in children with autism spectrum disorder varies with stimulus familiarity and task instructions. Dev Psychopathol 2020; 32:383-393. [PMID: 30924430 DOI: 10.1017/s0954579419000154] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Although deficits in cognitive empathy are well established in individuals with autism spectrum disorder (ASD), the literature on emotional empathy, or emotional contagion, in individuals with ASD is sparse and contradictory. The authors tested susceptibility to contagious yawning and laughter in children with ASD (n = 60) and typically developing (TD) children (n = 60), ages 5-17 years, under various conditions, to elucidate factors that may affect emotional contagion in these populations. Although TD children showed equal amounts of emotional contagion across conditions, children with ASD were highly influenced by the familiarity of the target stimulus, as well as task instructions that encourage eye gaze to target. More specifically, children with ASD exhibited less contagious yawning and laughter than their TD peers except when their attention was explicitly directed to the eyes or (and even more so) when their parents served as the stimulus targets. The authors explore the implications of these findings for theories about the mechanisms underlying empathic deficits in ASD as well as the clinical implications of having parents involved in treatment.
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Ola L, Gullon-Scott F. Facial emotion recognition in autistic adult females correlates with alexithymia, not autism. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2020; 24:2021-2034. [PMID: 32689812 PMCID: PMC7539601 DOI: 10.1177/1362361320932727] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Research on predominantly male autistic samples has indicated that impairments in facial emotion recognition typically associated with autism spectrum conditions are instead due to co-occurring alexithymia. However, whether this could be demonstrated using more realistic facial emotion recognition stimuli and applied to autistic females was unclear. In all, 83 females diagnosed with autism spectrum condition completed online self-report measures of autism spectrum condition severity and alexithymia, and afacial emotion recognition deficit that assessed their ability to identify multimodal displays of complex emotions. Higher levels of alexithymia, but not autism spectrum condition severity, were associated with less accurate facial emotion recognition. Difficulty identifying one’s own feelings and externally oriented thinking were the components of alexithymia that were specifically related to facial emotion recognition accuracy. However, alexithymia (and autism spectrum condition severity) was not associated with speed of emotion processing. The findings are primarily discussed with the theoretical view that perceiving and experiencing emotions share the same neural networks, thus being able to recognise one’s own emotions may facilitate the ability to recognise others’. This study is in line with previous similar research on autistic males and suggests impairments in facial emotion recognition in autistic females should be attributed to co-occurring alexithymia.
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Carter RM, Jung H, Reaven J, Blakeley-Smith A, Dichter GS. A Nexus Model of Restricted Interests in Autism Spectrum Disorder. Front Hum Neurosci 2020; 14:212. [PMID: 32581753 PMCID: PMC7283772 DOI: 10.3389/fnhum.2020.00212] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 05/11/2020] [Indexed: 11/23/2022] Open
Abstract
Restricted interests (RIs) in autism spectrum disorder (ASD) are clinically impairing interests of unusual focus or intensity. They are a subtype of restricted and repetitive behaviors which are one of two diagnostic criteria for the disorder. Despite the near ubiquity of RIs in ASD, the neural basis for their development is not well understood. However, recent cognitive neuroscience findings from nonclinical samples and from individuals with ASD shed light on neural mechanisms that may explain the emergence of RIs. We propose the nexus model of RIs in ASD, a novel conceptualization of this symptom domain that suggests that RIs may reflect a co-opting of brain systems that typically serve to integrate complex attention, memory, semantic, and social communication functions during development. The nexus model of RIs hypothesizes that when social communicative development is compromised, brain functions typically located within the lateral surface of cortex may expand into social processing brain systems and alter cortical representations of various cognitive functions during development. These changes, in turn, promote the development of RIs as an alternative process mediated by these brain networks. The nexus model of RIs makes testable predictions about reciprocal relations between the impaired development of social communication and the emergence of RIs in ASD and suggests novel avenues for treatment development.
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Affiliation(s)
- R. McKell Carter
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Heejung Jung
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Judy Reaven
- JFK Partners, Department of Psychiatry and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Audrey Blakeley-Smith
- JFK Partners, Department of Psychiatry and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Gabriel S. Dichter
- School of Medicine, Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Psychology and Neuroscience, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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31
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Expecting the good: Symbolic valence signals provoke action biases and undermine goal-directed behavior. Acta Psychol (Amst) 2020; 206:103063. [PMID: 32229313 DOI: 10.1016/j.actpsy.2020.103063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 01/27/2020] [Accepted: 03/19/2020] [Indexed: 01/04/2023] Open
Abstract
Positive and negative events are known to trigger opposing action tendencies (approach vs. avoidance). Recently, we found that advance monetary incentive cues can override such valence-action biases. In the present study we tested whether symbolic emotional valence cues can lead to similar adjustments and facilitate performance regardless of the required action. To this end, we performed three closely related experiments in which valence prospect (positive vs. neutral; indicated by stimulus color) and action requirements (approach vs. avoid; indicated by stimulus shape) were manipulated in a trial-to-trial fashion. Orthogonal to this, valence prospect was either embedded in the cue or target stimulus in discrete blocks (cue-valence vs. target-valence blocks). Actual valence was presented in the form of emotional face stimuli after response execution, which mirrors monetary incentive manipulations. In two of the experiments, we observed a positive-approach bias in form of performance benefit for positive versus neutral valence trials, which was exclusive for approach actions. Although numerically more pronounced in target-valence blocks, the bias was not significantly diminished in cue- versus target-valence blocks. This opposes our prediction that emotional valence cues can diminish such biases and instead highlights the robustness of inherent mappings between emotional valence and action tendencies - even if this goes against the task goal.
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Vettori S, Dzhelyova M, Van der Donck S, Jacques C, Steyaert J, Rossion B, Boets B. Frequency-Tagging Electroencephalography of Superimposed Social and Non-Social Visual Stimulation Streams Reveals Reduced Saliency of Faces in Autism Spectrum Disorder. Front Psychiatry 2020; 11:332. [PMID: 32411029 PMCID: PMC7199527 DOI: 10.3389/fpsyt.2020.00332] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/02/2020] [Indexed: 12/30/2022] Open
Abstract
Individuals with autism spectrum disorder (ASD) have difficulties with social communication and interaction. The social motivation hypothesis states that a reduced interest in social stimuli may partly underlie these difficulties. Thus far, however, it has been challenging to quantify individual differences in social orientation and interest, and to pinpoint the neural underpinnings of it. In this study, we tested the neural sensitivity for social versus non-social information in 21 boys with ASD (8-12 years old) and 21 typically developing (TD) control boys, matched for age and IQ, while children were engaged in an orthogonal task. We recorded electroencephalography (EEG) during fast periodic visual stimulation (FPVS) of social versus non-social stimuli to obtain an objective implicit neural measure of relative social bias. Streams of variable images of faces and houses were superimposed, and each stream of stimuli was tagged with a particular presentation rate (i.e., 6 and 7.5 Hz or vice versa). This frequency-tagging method allows disentangling the respective neural responses evoked by the different streams of stimuli. Moreover, by using superimposed stimuli, we controlled for possible effects of preferential looking, spatial attention, and disengagement. Based on four trials of 60 s, we observed a significant three-way interaction. In the control group, the frequency-tagged neural responses to faces were larger than those to houses, especially in lateral occipito-temporal channels, while the responses to houses were larger over medial occipital channels. In the ASD group, however, faces and houses did not elicit significantly different neural responses in any of the regions. Given the short recording time of the frequency-tagging paradigm with multiple simultaneous inputs and the robustness of the individual responses, the method could be used as a sensitive marker of social preference in a wide range of populations, including younger and challenging populations.
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Affiliation(s)
- Sofie Vettori
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Milena Dzhelyova
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
- Institute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium
| | - Stephanie Van der Donck
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Corentin Jacques
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Institute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium
| | - Jean Steyaert
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Bruno Rossion
- Institute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium
- Université de Lorraine, CNRS, CRAN-UMR 7039, Nancy, France
- Université de Lorraine, CHRU-Service de Neurologie, Nancy, France
| | - Bart Boets
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
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33
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Representational similarity analysis reveals atypical age-related changes in brain regions supporting face and car recognition in autism. Neuroimage 2020; 209:116322. [PMID: 31786166 DOI: 10.1016/j.neuroimage.2019.116322] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 10/25/2019] [Accepted: 10/29/2019] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) is associated with atypical activation in the ventral stream during face processing. The current study further characterizes the development of face processing in ASD using a multivoxel pattern analysis, which assesses the similarity in the representation of exemplars from the same category. METHODS Ninety-two children, adolescents and adults - with and without ASD - performed the Cambridge Face Memory Test, the Australian Face Memory Test, and a matched car memory test. Regions of interest during these tasks included Fusiform Face Area (FFA), based on the literature, and additional, structurally-defined regions in the ventral stream. Group differences in the patterns of activity within these ROIs when memorizing exemplars were examined using a representational similarity analysis (RSA). RESULTS The RSA revealed significant interactions between age group and diagnostic group in R FFA, with increasing similarity within a category (faces, cars) into adulthood typically but not in those with ASD. This pattern was also evident in structurally defined ventral stream regions, namely L inferior frontal gyrus (IFG), bilateral temporoparietal junction (TPJ), L inferior temporal lobule, and the R fusiform gyrus. CONCLUSIONS The specialization of face and object processing from adolescence to adulthood evident in typical development may be impaired in ASD, undermining the ability to reach adult-level visual processing in those with ASD.
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Kuno-Fujita A, Iwabuchi T, Wakusawa K, Ito H, Suzuki K, Shigetomi A, Hirotaka K, Tsujii M, Tsuchiya KJ. Sensory Processing Patterns and Fusiform Activity During Face Processing in Autism Spectrum Disorder. Autism Res 2020; 13:741-750. [PMID: 32058662 PMCID: PMC7317875 DOI: 10.1002/aur.2283] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/01/2020] [Accepted: 02/03/2020] [Indexed: 12/20/2022]
Abstract
A growing body of evidence has indicated that individuals with autism spectrum disorder (ASD) exhibit abnormal reactions to sensory stimuli and impaired face processing. Although behavioral studies have reported that individual differences in sensory processing patterns are correlated with performance in face processing tasks, the neural substrates underlying the association between sensory processing patterns and face processing remain unknown. Using functional magnetic resonance imaging, the present study examined the relationships between sensory processing patterns assessed with the Adolescent/Adult Sensory Profile (AASP) and brain activity during a one‐back task with two types of stimuli (face or house pictures). We enrolled 18 Japanese adults with ASD and 19 age‐ and IQ‐matched controls. Sensation Avoiding scores, which were assessed using the AASP, were positively correlated with right fusiform activity during the presentation of pictures of faces in the ASD group, but not in the control group. This suggests that abnormal sensory processing patterns in ASD are associated with abnormal face‐related brain activity, possibly resulting in impaired face processing. Autism Res 2020, 13: 741–750. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Sensory abnormalities are one of the most common symptoms in people with autism spectrum disorder (ASD). This study shows that individuals with ASD who react abnormally to sensory stimuli also exhibit atypical brain activity when recognizing faces. Abnormal sensory processing may partly explain the difficulty that people diagnosed with ASD have in identifying others' faces.
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Affiliation(s)
- Ayaka Kuno-Fujita
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Toshiki Iwabuchi
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Keisuke Wakusawa
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,Miyagi Children's Hospital, Sendai, Japan
| | - Hiroyuki Ito
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,Department of Contemporary Education, Chubu University, Kasugai, Japan
| | - Katsuaki Suzuki
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,Ogasa Hospital, Kakegawa, Japan
| | | | - Kosaka Hirotaka
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan.,United Graduate School of Child Development, University of Fukui, Fukui, Japan.,Department of Neuropsychiatry, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Masatsugu Tsujii
- School of Contemporary Sociology, Chukyo University, Toyota, Japan
| | - Kenji J Tsuchiya
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
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35
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Pino MC, Masedu F, Vagnetti R, Attanasio M, Di Giovanni C, Valenti M, Mazza M. Validity of Social Cognition Measures in the Clinical Services for Autism Spectrum Disorder. Front Psychol 2020; 11:4. [PMID: 32116882 PMCID: PMC7012901 DOI: 10.3389/fpsyg.2020.00004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 01/03/2020] [Indexed: 12/27/2022] Open
Abstract
The current study evaluated three social cognition (SC) tests for their clinical utility in aiding autism diagnosis. To do so, we compared the performance of 86 children with autism spectrum disorder (ASD) and 68 typically developing (TD) children, all aged from 4 to 10 years old, on three SC tasks [the Social Information Processing Interview (SIPI), the Comic Strip Task (CST), and the children's version of the Eyes Task] and calculated threshold scores that best differentiated the two groups. While difficulties in these abilities appear to represent the "central core" of ASD, services have largely ignored SC tests when supporting autism diagnoses. Therefore, this study attempted to validate and evaluate the diagnostic potential of these three tasks for children with ASD. To investigate the accuracy of these SC tests, we used the receiver operating characteristic (ROC) curve. As expected, the ASD group performed worse than the TD group on the SIPI and CST, but contrary to our prediction, the groups did not significantly differ on the Eyes Task. Specifically, the overall area under the curve (AUC) for the SIPI was 0.87, with a sensitivity of 73.5% and a specificity of 83.9% at the best cutoff point (score range 0-36; best cutoff = 31). The overall AUC for the CST was 0.75, with a sensitivity of 71.1% and a specificity of 77.0% at the best cutoff point (score range 0-15; best cutoff = 11). The overall AUC for the Eyes Task was 0.51, with a sensitivity of 50.3% and a specificity of 40.2% at the best cutoff point (score range 0-54; best cutoff = 45). In conclusion, the results showed that the SIPI test has good predictive power for classifying children with ASD. It should provide substantial supplementary clinical information and help to consolidate diagnostic procedures based on standard tools. Moreover, the results of the study have substantial implications for clinical practice: the better the knowledge of SC functioning in children with ASD, the more effective the intervention program for rehabilitation.
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Affiliation(s)
- Maria Chiara Pino
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
- Regional Centre for Autism, Abruzzo Region Health System, L’Aquila, Italy
| | - Francesco Masedu
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
| | - Roberto Vagnetti
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
| | - Margherita Attanasio
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
| | - Chiara Di Giovanni
- Regional Centre for Autism, Abruzzo Region Health System, L’Aquila, Italy
| | - Marco Valenti
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
- Regional Centre for Autism, Abruzzo Region Health System, L’Aquila, Italy
| | - Monica Mazza
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
- Regional Centre for Autism, Abruzzo Region Health System, L’Aquila, Italy
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36
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Seghatol-Eslami VC, Maximo JO, Ammons CJ, Libero LE, Kana RK. Hyperconnectivity of social brain networks in autism during action-intention judgment. Neuropsychologia 2020; 137:107303. [PMID: 31837376 DOI: 10.1016/j.neuropsychologia.2019.107303] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 12/09/2019] [Accepted: 12/10/2019] [Indexed: 12/17/2022]
Abstract
Deficits in social communication in autism spectrum disorder (ASD) have been documented using neuroimaging techniques such as functional MRI over the past decade. More recently, functional connectivity MRI has revealed altered connectivity in face processing, mentalizing, and mirroring brain networks, networks involved in the social brain in ASD. However, to our knowledge, previous studies have not examined these three networks concurrently. The purpose of the current study was to investigate the functional connectivity of the face processing, mentalizing, and mirroring networks (within each network and across networks) in ASD during an action-intention task in which participants were asked to determine the means and intention of a model's actions. We examined: a) within-network connectivity of each network using an ROI-to-ROI analysis; b) connectivity of each network hub to the rest of the brain using a seed-to-voxel analysis; c) the between-network connectivity of each network hub using ROI-to-ROI analysis; and d) brain-behavior relationships by correlating autism symptoms with brain connectivity. Task-fMRI data were used from 21 participants with ASD and 20 typically developing participants. The ASD group consistently showed significantly greater connectivity between networks and between hub regions to the rest of the brain. Hyperconnectivity in ASD may entail more and widespread resource utilization for accomplishing action-intention judgment.
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Affiliation(s)
- Victoria C Seghatol-Eslami
- Department of Psychology, University of Alabama at Birmingham (UAB), CIRC 235G, 1719 6th Ave South, Birmingham, AL, 35294-0021, USA
| | - Jose O Maximo
- Department of Psychology, University of Alabama at Birmingham (UAB), CIRC 235G, 1719 6th Ave South, Birmingham, AL, 35294-0021, USA
| | - Carla J Ammons
- Department of Psychology, University of Alabama at Birmingham (UAB), CIRC 235G, 1719 6th Ave South, Birmingham, AL, 35294-0021, USA
| | - Lauren E Libero
- Department of Psychology, University of Alabama at Birmingham (UAB), CIRC 235G, 1719 6th Ave South, Birmingham, AL, 35294-0021, USA
| | - Rajesh K Kana
- Department of Psychology, University of Alabama at Birmingham (UAB), CIRC 235G, 1719 6th Ave South, Birmingham, AL, 35294-0021, USA; Department of Psychology, University of Alabama, Box 870348, Tuscaloosa, AL, 35294-0021, USA.
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37
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Al-Zubaidi A, Heldmann M, Mertins A, Brabant G, Nolde JM, Jauch-Chara K, Münte TF. Impact of Hunger, Satiety, and Oral Glucose on the Association Between Insulin and Resting-State Human Brain Activity. Front Hum Neurosci 2019; 13:162. [PMID: 31178708 PMCID: PMC6544009 DOI: 10.3389/fnhum.2019.00162] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 05/01/2019] [Indexed: 12/12/2022] Open
Abstract
To study the interplay of metabolic state (hungry vs. satiated) and glucose administration (including hormonal modulation) on brain function, resting-state functional magnetic resonance imaging (rs-fMRI) and blood samples were obtained in 24 healthy normal-weight men in a repeated measurement design. Participants were measured twice: once after a 36 h fast (except water) and once under satiation (three meals/day for 36 h). During each session, rs-fMRI and hormone concentrations were recorded before and after a 75 g oral dose of glucose. We calculated the amplitude map from blood-oxygen-level-dependent (BOLD) signals by using the fractional amplitude of low-frequency fluctuation (fALFF) approach for each volunteer per condition. Using multiple linear regression analysis (MLRA) the interdependence of brain activity, plasma insulin and blood glucose was investigated. We observed a modulatory impact of fasting state on intrinsic brain activity in the posterior cingulate cortex (PCC). Strikingly, differences in plasma insulin levels between hunger and satiety states after glucose administration at the time of the scan were negatively related to brain activity in the posterior insula and superior frontal gyrus (SFG), while plasma glucose levels were positively associated with activity changes in the fusiform gyrus. Furthermore, we could show that changes in plasma insulin enhanced the connectivity between the posterior insula and SFG. Our results indicate that hormonal signals like insulin alleviate an acute hemostatic energy deficit by modifying the homeostatic and frontal circuitry of the human brain.
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Affiliation(s)
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany
- Institute of Psychology II, University of Lübeck, Lübeck, Germany
| | - Alfred Mertins
- Institute for Signal Processing, University of Lübeck, Lübeck, Germany
| | - Georg Brabant
- Department of Internal Medicine I, University of Lübeck, Lübeck, Germany
| | | | - Kamila Jauch-Chara
- Department of Psychiatry and Psychotherapy, Christian-Albrechts-University, Kiel, Germany
| | - Thomas F. Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany
- Institute of Psychology II, University of Lübeck, Lübeck, Germany
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38
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Kovarski K, Mennella R, Wong SM, Dunkley BT, Taylor MJ, Batty M. Enhanced Early Visual Responses During Implicit Emotional Faces Processing in Autism Spectrum Disorder. J Autism Dev Disord 2019; 49:871-886. [PMID: 30374763 DOI: 10.1007/s10803-018-3787-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Research on Autism Spectrum Disorder (ASD) has focused on processing of socially-relevant stimuli, such as faces. Nonetheless, before being 'social', faces are visual stimuli. The present magnetoencephalography study investigated the time course of brain activity during an implicit emotional task in visual emotion-related regions in 19 adults with ASD (mean age 26.3 ± 4.4) and 19 typically developed controls (26.4 ± 4). The results confirmed previously-reported differences between groups in brain responses to emotion and a hypo-activation in the ASD group in the right fusiform gyrus around 150 ms. However, the ASD group also presented early enhanced activity in the occipital region. These results support that impaired face processing in ASD might be sustained by atypical responses in primary visual areas.
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Affiliation(s)
- Klara Kovarski
- UMR 1253, iBrain, Université de Tours, Inserm, Centre Universitaire de PédoPsychiatrie, Tours, France. .,Department of Diagnostic Imaging, The Hospital for the Sick Children, Toronto, Canada.
| | - Rocco Mennella
- Department of Diagnostic Imaging, The Hospital for the Sick Children, Toronto, Canada.,Laboratoire de neurosciences cognitives, INSERM U960, Département d'études cognitives, École Normale Supérieure, PSL Research University, Paris, France
| | - Simeon M Wong
- Department of Diagnostic Imaging, The Hospital for the Sick Children, Toronto, Canada.,Neurosciences & Mental Health Program, The Hospital for the Sick Children Research Institute, Toronto, Canada
| | - Benjamin T Dunkley
- Department of Diagnostic Imaging, The Hospital for the Sick Children, Toronto, Canada.,Neurosciences & Mental Health Program, The Hospital for the Sick Children Research Institute, Toronto, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Margot J Taylor
- Department of Diagnostic Imaging, The Hospital for the Sick Children, Toronto, Canada.,Neurosciences & Mental Health Program, The Hospital for the Sick Children Research Institute, Toronto, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada
| | - Magali Batty
- CERPPS, Université de Toulouse, Toulouse, France
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Vinken K, Vogels R. A behavioral face preference deficit in a monkey with an incomplete face patch system. Neuroimage 2019; 189:415-424. [PMID: 30665007 DOI: 10.1016/j.neuroimage.2019.01.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 12/22/2018] [Accepted: 01/17/2019] [Indexed: 11/25/2022] Open
Abstract
Primates are experts in face perception and naturally show a preference for faces under free-viewing conditions. The primate ventral stream is characterized by a network of face patches that selectively responds to faces, but it remains uncertain how important such parcellation is for face perception. Here we investigated free-viewing behavior in a female monkey who naturally lacks fMRI-defined posterior and middle lateral face patches. We presented a series of content-rich images of scenes that included faces or other objects to that monkey during a free-viewing task and tested a group of 10 control monkeys on the same task for comparison. We found that, compared to controls, the monkey with missing face patches showed a marked reduction of face viewing preference that was most pronounced for the first few fixations. In addition, her gaze fixation patterns were substantially distinct from those of controls, especially for pictures with a face. These data demonstrate an association between the clustering of neurons in face selective patches and a behavioral bias for faces in natural images.
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Affiliation(s)
- Kasper Vinken
- Laboratory for Neuro- and Psychophysiology, Dpt Neurosciences, KU Leuven, 3000, Leuven, Belgium; Laboratory of Biological Psychology, Brain and Cognition, KU Leuven, 3000, Leuven, Belgium.
| | - Rufin Vogels
- Laboratory for Neuro- and Psychophysiology, Dpt Neurosciences, KU Leuven, 3000, Leuven, Belgium
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Levman J, MacDonald P, Rowley S, Stewart N, Lim A, Ewenson B, Galaburda A, Takahashi E. Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults. Front Hum Neurosci 2019; 13:75. [PMID: 30930758 PMCID: PMC6428060 DOI: 10.3389/fnhum.2019.00075] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 02/13/2019] [Indexed: 11/24/2022] Open
Abstract
Autism is a group of complex neurodevelopmental disorders characterized by impaired social interaction and restricted/repetitive behavior. We performed a large-scale retrospective analysis of 1,996 clinical neurological structural magnetic resonance imaging (MRI) examinations of 781 autistic and 988 control subjects (aged 0–32 years), and extracted regionally distributed cortical thickness measurements, including average measurements as well as standard deviations which supports the assessment of intra-regional cortical thickness variability. The youngest autistic participants (<2.5 years) were diagnosed after imaging and were identified retrospectively. The largest effect sizes and the most common findings not previously published in the scientific literature involve abnormal intra-regional variability in cortical thickness affecting many (but not all) regions of the autistic brain, suggesting irregular gray matter development in autism that can be detected with MRI. Atypical developmental patterns have been detected as early as 0 years old in individuals who would later be diagnosed with autism.
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Affiliation(s)
- Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Charlestown, MA, United States.,Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada
| | - Patrick MacDonald
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States
| | - Sean Rowley
- Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada
| | - Natalie Stewart
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States
| | - Ashley Lim
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States
| | - Bryan Ewenson
- Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada
| | - Albert Galaburda
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, MA, United States
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Charlestown, MA, United States
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41
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Yerys BE, Herrington JD, Bartley GK, Liu HS, Detre JA, Schultz RT. Arterial spin labeling provides a reliable neurobiological marker of autism spectrum disorder. J Neurodev Disord 2018; 10:32. [PMID: 30541425 PMCID: PMC6292037 DOI: 10.1186/s11689-018-9250-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 11/14/2018] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Research on neurobiological markers of autism spectrum disorder (ASD) has been elusive. However, radionuclide studies of cerebral blood flow (CBF) have shown decreased blood flow (hypoperfusion) in the temporal lobes of individuals with ASD across ages and intelligence. This observation fits with current neuroscientific models that implicate temporal regions in social perception and social cognition. Arterial spin labeled perfusion MRI allows noninvasive quantification of regional CBF as part of a multimodal MRI protocol. This method is almost entirely absent from ASD research to date. Our a priori hypothesis was that children with ASD would present with hypoperfusion in the temporal lobes-most notably the fusiform gyrus (given its prominent role in ASD social perception deficits). We also sought to examine the reproducibility of CBF measures, and their relationship to individual differences in facial recognition and ASD symptoms. METHODS A total of 58 males (33 with ASD) between the ages of 12 and 17 years participated in the study. All children completed two arterial spin labeling and structural (T1) scans using a 3 T Siemens Verio scanner approximately 8 weeks apart, as well as behavioral testing at time 1 that included diagnostic measures and the Benton Facial Recognition Test. CBF was the key dependent variable, as was facial recognition performance, and ASD symptoms. The two scans were used for reliability analyses. RESULTS The ASD group showed hypoperfusion in the bilateral fusiform gyrus and in right inferior temporal gyrus. Intra-class correlations showed moderate to good reliability across time within both groups, and no diagnostic group × time interactions. CBF in the left fusiform gyrus was significantly positively correlated with facial recognition. No significant correlations were observed with core ASD symptoms. CONCLUSIONS Arterial spin labeling revealed hypoperfusion in children with ASD in regions critical to social perception and cognition. The left fusiform gyrus plays an important role in facial recognition, and greater CBF in this region was correlated with more normative facial recognition performance in children with ASD. This study takes an important first step in establishing CBF of the temporal lobes as a reliable marker of ASD.
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Affiliation(s)
- Benjamin E. Yerys
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - John D. Herrington
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - Gregory K. Bartley
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
| | - Hua-Shan Liu
- Department of Neurology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - John A. Detre
- Department of Neurology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - Robert T. Schultz
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
- Department of Pediatrics, Perelman School Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
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Zaharia A, Schneider M, Glaser B, Franchini M, Menghetti S, Schaer M, Debbané M, Eliez S. Face processing in 22q11.2 deletion syndrome: atypical development and visual scanning alterations. J Neurodev Disord 2018; 10:26. [PMID: 30157749 PMCID: PMC6114830 DOI: 10.1186/s11689-018-9245-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 08/14/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Previous research links social difficulties to atypical face exploration in 22q11.2 deletion syndrome (22q11.2DS). Two types of face processing are distinguished: configural (CFP) and featural (FFP). CFP develops later in life and plays an important role in face and emotion recognition abilities. Recent studies reported atypical development of CFP in several neurodevelopmental disorders. Taking previous reports of atypical face exploration one step further, our study aims at characterizing face processing in children and adolescents with 22q11.2DS. First, we sought to identify biases in the first two fixation positions on faces and to detect differences between CFP and FFP in 22q11.2DS using eye-tracking technology. Second, we investigated the developmental trajectories of CFP and FFP using accuracy data from follow-up evaluation. METHODS Seventy-five individuals with 22q11.2DS and 84 typically developed (TD) individuals (aged 6-21 years) completed a discrimination task ("Jane task") inducing CFP and FFP in an eye-tracking setting. Thirty-six individuals with 22q11DS and 30 TD from our sample completed a longitudinal follow-up evaluation. RESULTS Findings revealed that individuals with 22q11.2DS demonstrate an early bias toward the mouth region during the initial fixations on the faces and reduced flexibility exploration of the faces, with a reduced number of transitions between faces and longer fixations compared to the TD group. Further, scanpaths did not differ between CFP and FFP in the 22q11.2DS group. Longitudinal analysis of accuracy data provided evidence for atypical development of CFP in 22q11.2DS. CONCLUSIONS The current study brings new evidence of altered face exploration in 22q11.2DS and identifies developmental mechanisms that may contribute to difficulties impacting social interactions in the syndrome.
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Affiliation(s)
- Alexandra Zaharia
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland. .,Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
| | - Maude Schneider
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland.,Center for Contextual Psychiatry, Research Group Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Bronwyn Glaser
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Martina Franchini
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Sarah Menghetti
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Marie Schaer
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland.,Stanford Cognitive and Systems Neuroscience Laboratory, Stanford University School of Medicine, California, USA
| | - Martin Debbané
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland.,Adolescence Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland.,Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
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Levman J, Vasung L, MacDonald P, Rowley S, Stewart N, Lim A, Ewenson B, Galaburda A, Takahashi E. Regional volumetric abnormalities in pediatric autism revealed by structural magnetic resonance imaging. Int J Dev Neurosci 2018; 71:34-45. [PMID: 30110650 DOI: 10.1016/j.ijdevneu.2018.08.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/26/2018] [Accepted: 08/02/2018] [Indexed: 11/25/2022] Open
Abstract
Autism is a group of complex neurodevelopmental disorders characterized by impaired social interaction, restricted and repetitive behavior. We performed a large-scale retrospective analysis of 1,996 structural magnetic resonance imaging (MRI) examinations of the brain from 1,769 autistic and neurologically typically developing patients (aged 0-32 years), and extracted regional volumetric measurements distributed across 463 brain regions of each patient. The youngest autistic patients (<2.5 years) were diagnosed after imaging and identified retrospectively. Our study demonstrates corpus callosum volumetric abnormalities among autistic patients that are associated with brain overgrowth in early childhood (0-5 years old), followed by a shift towards known decreased volumes in later ages. Results confirm known increases in ventricular volumes among autistic populations and extends those findings to increased volumes of the choroid plexus. Our study also demonstrates distributed volumetric abnormalities among autistic patients that affect a variety of key regional white and grey matter areas of the brain potentially associated with known symptoms of autism.
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Affiliation(s)
- Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada.
| | - Lana Vasung
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Patrick MacDonald
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Sean Rowley
- Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada
| | - Natalie Stewart
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Ashley Lim
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Bryan Ewenson
- Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada
| | - Albert Galaburda
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave FD-225, Boston, MA, 02215, USA
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
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Rolison MJ, Naples AJ, Rutherford HJV, McPartland JC. Modulation of reward in a live social context as revealed through interactive social neuroscience. Soc Neurosci 2018; 13:416-428. [PMID: 28586261 PMCID: PMC6072262 DOI: 10.1080/17470919.2017.1339635] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 05/09/2017] [Indexed: 01/09/2023]
Abstract
Social neuroscience research investigating autism spectrum disorder (ASD) has yielded inconsistent findings, despite ASD being well-characterized by difficulties in social interaction and communication through behavioral observation. In particular, specific etiologies and functional and structural assays of the brain in autism have not been consistently identified. To date, most social neuroscience research has focused on a single person viewing static images. Research utilizing interactive social neuroscience featuring dual-brain recording offers great promise for the study of neurodevelopmental disabilities. Reward processing has been implicated in the pathology of ASD, yet mixed findings have brought uncertainty about the role reward processing deficits may play in ASD. The current study employed dual-brain EEG recording to examine reward processing during live interaction and its relation to autistic traits. Sixteen typically developing (TD) adults played a competitive treasure-hunt game against a computer and against a human partner. EEG results revealed enhanced neural sensitivity to reward outcome during live interaction with a human competitor. Further, individuals with higher levels of autistic traits demonstrated reduced sensitivity to reward outcome during live interaction. These findings provide novel insight into reward processing mechanisms associated with autistic traits, as well as support the necessary utility of interactive social neuroscience techniques to study developmental disorders.
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Affiliation(s)
- Max J Rolison
- a Child Study Center , Yale School of Medicine , New Haven , CT , USA
| | - Adam J Naples
- a Child Study Center , Yale School of Medicine , New Haven , CT , USA
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45
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Borhani K, Nejati V. Emotional face recognition in individuals withattention-deficit/hyperactivity disorder: a review article. Dev Neuropsychol 2018; 43:256-277. [PMID: 29461118 DOI: 10.1080/87565641.2018.1440295] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
This review focuses on facial emotion recognition (FER) in individuals with attention- deficit/hyperactivity disorder (ADHD). Behavioral studies of FER in ADHD have resulted in inconsistent findings. Here, we discuss the factors that vary across studies and the way that they influence FER processes in ADHD. Across reviewed studies, fear was the most deficient facial expression to be recognized. Our review suggested that FER deficit in ADHD does not alleviate across development and is partially distinct from ADHD symptoms. In conclusion, assessment of FER in ADHD and targeting that in interventional plans could lead to social skills improvement in ADHD.
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Affiliation(s)
- Khatereh Borhani
- a Institute for Cognitive and Brain Sciences , Shahid Beheshti University , Tehran , Iran
| | - Vahid Nejati
- b Faculty of Education and Psychology, Department of Psychology , Shahid Beheshti University , Tehran , Iran
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46
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The infant brain in the social world: Moving toward interactive social neuroscience with functional near-infrared spectroscopy. Neurosci Biobehav Rev 2018; 87:38-49. [PMID: 29371139 DOI: 10.1016/j.neubiorev.2018.01.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 12/04/2017] [Accepted: 01/19/2018] [Indexed: 11/20/2022]
Abstract
Typically developing infants rapidly acquire a sophisticated array of social skills within the first year of life. These social skills are largely learned within the context of day-to-day interactions with caregivers. While social neuroscience has made great gains in our knowledge of the underlying neural circuitry of social cognition and behavior, much of this work has focused on experiments that sacrifice ecological validity for experimental control. Functional near-infrared spectroscopy (fNIRS) is a promising methodology for measuring brain activity in the context of naturalistic social interactions. Here, we review what we have learned from fNIRS studies that have used traditional experimental stimuli to study social development during infancy. We then discuss recent infant fNIRS studies that have utilized more naturalistic social stimuli, followed by a discussion of applications of this methodology to the study of atypical social development, with a focus on infants at risk for autism spectrum disorder. We end with recommendations for applying fNIRS to studies of typically developing and at-risk infants in naturalistic social situations.
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47
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Patriquin MA, DeRamus T, Libero LE, Laird A, Kana RK. Neuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder. Hum Brain Mapp 2018; 37:3957-3978. [PMID: 27329401 DOI: 10.1002/hbm.23288] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 05/04/2016] [Accepted: 06/07/2016] [Indexed: 12/26/2022] Open
Abstract
Social impairments in autism spectrum disorder (ASD), a hallmark feature of its diagnosis, may underlie specific neural signatures that can aid in differentiating between those with and without ASD. To assess common and consistent patterns of differences in brain responses underlying social cognition in ASD, this study applied an activation likelihood estimation (ALE) meta-analysis to results from 50 neuroimaging studies of social cognition in children and adults with ASD. In addition, the group ALE clusters of activation obtained from this was used as a social brain mask to perform surface-based cortical morphometry (SBM) in an empirical structural MRI dataset collected from 55 ASD and 60 typically developing (TD) control participants. Overall, the ALE meta-analysis revealed consistent differences in activation in the posterior superior temporal sulcus at the temporoparietal junction, middle frontal gyrus, fusiform face area (FFA), inferior frontal gyrus (IFG), amygdala, insula, and cingulate cortex between ASD and TD individuals. SBM analysis showed alterations in the thickness, volume, and surface area in individuals with ASD in STS, insula, and FFA. Increased cortical thickness was found in individuals with ASD, the IFG. The results of this study provide functional and anatomical bases of social cognition abnormalities in ASD by identifying common signatures from a large pool of neuroimaging studies. These findings provide new insights into the quest for a neuroimaging-based marker for ASD. Hum Brain Mapp 37:3957-3978, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Michelle A Patriquin
- The Menninger Clinic, Houston, Texas.,Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Birmingham, Alabama
| | - Thomas DeRamus
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Lauren E Libero
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Angela Laird
- Department of Physics, Florida International University, Birmingham, Florida
| | - Rajesh K Kana
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama.
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48
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Preserved face inversion effects in adults with autism spectrum disorder: an event-related potential study. Neuroreport 2018; 27:587-92. [PMID: 27092469 DOI: 10.1097/wnr.0000000000000576] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Individuals with autism spectrum disorder (ASD) are impaired in face recognition and emotional expression identification. According to current models, there are at least three levels of face processing: first order (two eyes, above a nose, which is above a mouth), second order (the relative distance between features), and holistic (ability to recognize as faces images that lack distinctive facial features). Some studies have reported deficits in configural and holistic processing in individuals with ASD. We investigated the neural correlates of these phenomena by measuring event-related potentials in high-functioning adults with ASD and healthy controls, during a face decision task, using a comprehensive set of photographic, schematic and Mooney upright and inverted faces, and scrambled images. Behaviorally, ASD and healthy controls were performance matched. At the electrophysiological level, individuals with ASD showed a bilateral N170 inversion effect in latency and left lateralized in amplitude for photographic faces, with bilaterally longer latencies and left higher amplitudes (more negative) N170 for inverted than upright photographic faces, and a right lateralized N170 inversion effect in latency for schematic faces. We conclude that under performance-matched conditions, adults with ASD show preserved N170 inversion effects and associated sparing of facial configural processing. An oral presentation of this work can be consulted using the following link, Supplemental digital content 1, http://links.lww.com/WNR/A382.
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49
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Lynn AC, Padmanabhan A, Simmonds D, Foran W, Hallquist MN, Luna B, O'Hearn K. Functional connectivity differences in autism during face and car recognition: underconnectivity and atypical age-related changes. Dev Sci 2018; 21:10.1111/desc.12508. [PMID: 27748031 PMCID: PMC5392438 DOI: 10.1111/desc.12508] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 08/18/2016] [Indexed: 12/12/2022]
Abstract
Face recognition abilities improve between adolescence and adulthood over typical development (TD), but plateau in autism, leading to increasing face recognition deficits in autism later in life. Developmental differences between autism and TD may reflect changes between neural systems involved in the development of face encoding and recognition. Here, we focused on whole-brain connectivity with the fusiform face area (FFA), a well-established face-preferential brain region. Older children, adolescents, and adults with and without autism completed the Cambridge Face Memory Test, and a matched car memory test, during fMRI scanning. We then examined task-based functional connectivity between the FFA and the rest of the brain, comparing autism and TD groups during encoding and recognition of face and car stimuli. The autism group exhibited underconnectivity, relative to the TD group, between the FFA and frontal and primary visual cortices, independent of age. Underconnectivity with the medial and rostral lateral prefrontal cortex was face-specific during encoding and recognition, respectively. Conversely, underconnectivity with the L orbitofrontal cortex was evident for both face and car encoding. Atypical age-related changes in connectivity emerged between the FFA and the R temporoparietal junction, and R dorsal striatum for face stimuli only. Similar differences in age-related changes in autism emerged for FFA connectivity with the amygdala across both face and car recognition. Thus, underconnectivity and atypical development of functional connectivity may lead to a less optimal face-processing network in the context of increasing general and social cognitive deficits in autism.
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Affiliation(s)
- Andrew C Lynn
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, USA
| | | | - Daniel Simmonds
- Laboratory of Neurocognitive Development, University of Pittsburgh, USA
| | - William Foran
- Laboratory of Neurocognitive Development, University of Pittsburgh, USA
| | - Michael N Hallquist
- Laboratory of Neurocognitive Development, University of Pittsburgh, USA
- Department of Psychiatry, University of Pittsburgh, USA
| | - Beatriz Luna
- Laboratory of Neurocognitive Development, University of Pittsburgh, USA
- Department of Psychiatry, University of Pittsburgh, USA
- Department of Psychology, University of Pittsburgh, USA
| | - Kirsten O'Hearn
- Laboratory of Neurocognitive Development, University of Pittsburgh, USA
- Department of Psychiatry, University of Pittsburgh, USA
- Department of Psychology, University of Pittsburgh, USA
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50
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Cygan HB, Okuniewska H, Jednoróg K, Marchewka A, Wypych M, Nowicka A. Face processing in a case of high functioning autism with developmental prosopagnosia. Acta Neurobiol Exp (Wars) 2018. [DOI: 10.21307/ane-2018-011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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