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Ranlund S, Rosa MJ, de Jong S, Cole JH, Kyriakopoulos M, Fu CHY, Mehta MA, Dima D. Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition. Neuroimage Clin 2018; 20:1026-1036. [PMID: 30340201 PMCID: PMC6197704 DOI: 10.1016/j.nicl.2018.10.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 10/04/2018] [Accepted: 10/08/2018] [Indexed: 12/24/2022]
Abstract
Psychiatric illnesses are complex and polygenic. They are associated with widespread alterations in the brain, which are partly influenced by genetic factors. There have been some attempts to relate polygenic risk scores (PRS) - a measure of the overall genetic risk an individual carries for a disorder - to brain structure using univariate methods. However, PRS are likely associated with distributed and covarying effects across the brain. We therefore used multivariate machine learning in this proof-of-principle study to investigate associations between brain structure and PRS for four psychiatric disorders; attention deficit-hyperactivity disorder (ADHD), autism, bipolar disorder and schizophrenia. The sample included 213 individuals comprising patients with depression (69), bipolar disorder (33), and healthy controls (111). The five psychiatric PRSs were calculated based on summary data from the Psychiatric Genomics Consortium. T1-weighted magnetic resonance images were obtained and voxel-based morphometry was implemented in SPM12. Multivariate relevance vector regression was implemented in the Pattern Recognition for Neuroimaging Toolbox (PRoNTo). Across the whole sample, a multivariate pattern of grey matter significantly predicted the PRS for autism (r = 0.20, pFDR = 0.03; MSE = 4.20 × 10-5, pFDR = 0.02). For the schizophrenia PRS, the MSE was significant (MSE = 1.30 × 10-5, pFDR = 0.02) although the correlation was not (r = 0.15, pFDR = 0.06). These results lend support to the hypothesis that polygenic liability for autism and schizophrenia is associated with widespread changes in grey matter concentrations. These associations were seen in individuals not affected by these disorders, indicating that this is not driven by the expression of the disease, but by the genetic risk captured by the PRSs.
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Affiliation(s)
- Siri Ranlund
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maria Joao Rosa
- Department of Computer Science, University College London, London, UK
| | - Simone de Jong
- NIHR BRC for Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London and SLaM NHS Trust, London, UK; MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James H Cole
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Computational, Cognitive & Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - Marinos Kyriakopoulos
- National and Specialist Acorn Lodge Inpatient Children Unit, South London and Maudsley NHS Foundation Trust, London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cynthia H Y Fu
- School of Psychology, University of East London, London, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Danai Dima
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK.
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Borowiak K, Schelinski S, von Kriegstein K. Recognizing visual speech: Reduced responses in visual-movement regions, but not other speech regions in autism. Neuroimage Clin 2018; 20:1078-1091. [PMID: 30368195 PMCID: PMC6202694 DOI: 10.1016/j.nicl.2018.09.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 09/19/2018] [Accepted: 09/21/2018] [Indexed: 12/23/2022]
Abstract
Speech information inherent in face movements is important for understanding what is said in face-to-face communication. Individuals with autism spectrum disorders (ASD) have difficulties in extracting speech information from face movements, a process called visual-speech recognition. Currently, it is unknown what dysfunctional brain regions or networks underlie the visual-speech recognition deficit in ASD. We conducted a functional magnetic resonance imaging (fMRI) study with concurrent eye tracking to investigate visual-speech recognition in adults diagnosed with high-functioning autism and pairwise matched typically developed controls. Compared to the control group (n = 17), the ASD group (n = 17) showed decreased Blood Oxygenation Level Dependent (BOLD) response during visual-speech recognition in the right visual area 5 (V5/MT) and left temporal visual speech area (TVSA) - brain regions implicated in visual-movement perception. The right V5/MT showed positive correlation with visual-speech task performance in the ASD group, but not in the control group. Psychophysiological interaction analysis (PPI) revealed that functional connectivity between the left TVSA and the bilateral V5/MT and between the right V5/MT and the left IFG was lower in the ASD than in the control group. In contrast, responses in other speech-motor regions and their connectivity were on the neurotypical level. Reduced responses and network connectivity of the visual-movement regions in conjunction with intact speech-related mechanisms indicate that perceptual mechanisms might be at the core of the visual-speech recognition deficit in ASD. Communication deficits in ASD might at least partly stem from atypical sensory processing and not higher-order cognitive processing of socially relevant information.
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Affiliation(s)
- Kamila Borowiak
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany; Berlin School of Mind and Brain, Humboldt University of Berlin, Luisenstraße 56, 10117 Berlin, Germany; Technische Universität Dresden, Bamberger Straße 7, 01187 Dresden, Germany.
| | - Stefanie Schelinski
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany; Technische Universität Dresden, Bamberger Straße 7, 01187 Dresden, Germany
| | - Katharina von Kriegstein
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany; Technische Universität Dresden, Bamberger Straße 7, 01187 Dresden, Germany
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A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective. Int J Dev Neurosci 2018; 71:68-82. [DOI: 10.1016/j.ijdevneu.2018.08.010] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 08/28/2018] [Accepted: 08/28/2018] [Indexed: 11/19/2022] Open
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Wang X, Kery R, Xiong Q. Synaptopathology in autism spectrum disorders: Complex effects of synaptic genes on neural circuits. Prog Neuropsychopharmacol Biol Psychiatry 2018; 84:398-415. [PMID: 28986278 DOI: 10.1016/j.pnpbp.2017.09.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 09/05/2017] [Accepted: 09/26/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Xinxing Wang
- Department of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY 11794, USA
| | - Rachel Kery
- Department of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY 11794, USA; Medical Scientist Training Program (MSTP), Stony Brook University, Stony Brook, NY 11794, USA
| | - Qiaojie Xiong
- Department of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY 11794, USA.
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Di X, Azeez A, Li X, Haque E, Biswal BB. Disrupted focal white matter integrity in autism spectrum disorder: A voxel-based meta-analysis of diffusion tensor imaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2018; 82:242-248. [PMID: 29128446 PMCID: PMC5800966 DOI: 10.1016/j.pnpbp.2017.11.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/18/2017] [Accepted: 11/07/2017] [Indexed: 01/14/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a mental disorder that has long been considered to result from brain underconnectivity. However, volumetric analysis of structural MRI data has failed to find consistent white matter alterations in patients with ASD. The present study aims to examine whether there are consistent focal white matter alterations as measured by diffusion tensor imaging (DTI) in individuals with ASD compared with typically developing (TD) individuals. METHOD Coordinate-based meta-analysis was performed on 14 studies that reported fractional anisotropy (FA) alterations between individuals with ASD and TD individuals. These studies have in total 297 subjects with ASD and 302 TD subjects. RESULTS Activation likelihood estimation (ALE) analysis identified two clusters of white matter regions that showed consistent reduction of FA in individuals with ASD compared with TD individuals: the left splenium of corpus callosum and the right cerebral peduncle. CONCLUSIONS Consistent focal white matter reductions in ASD could be identified by using FA, highlighting the cerebral peduncle which is usually overlooked in studies focusing on major white matter tracts. These focal reductions in the splenium and the cerebral peduncle may be associated with sensorimotor impairments seen in individuals with ASD.
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Affiliation(s)
- Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA..
| | - Azeezat Azeez
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Emad Haque
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
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Björnsdotter M, Davidovic M, Karjalainen L, Starck G, Olausson H, Wentz E. Grey matter correlates of autistic traits in women with anorexia nervosa. J Psychiatry Neurosci 2018; 43:79-86. [PMID: 29481315 PMCID: PMC5837888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 06/27/2017] [Accepted: 07/11/2017] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Patients with anorexia nervosa exhibit higher levels of behaviours typically associated with autism-spectrum disorder (ASD), but the neural basis is unclear. We sought to determine whether elevated autistic traits in women with anorexia nervosa may be reflected in cortical morphology. METHODS We used voxel-based morphometry (VBM) to examine regional grey matter volumes in high-resolution MRI structural brain scans in women with anorexia nervosa and matched healthy controls. The Autism-spectrum Quotient (AQ) scale was used to assess autistic traits. RESULTS Women with anorexia nervosa (n = 25) had higher AQ scores and lower bilateral superior temporal sulcus (STS) grey matter volumes than the control group (n = 25). The AQ scores correlated negatively with average left STS grey matter volume in women with anorexia nervosa. LIMITATIONS We did not control for cognitive ability and examined only women with ongoing anorexia nervosa. CONCLUSION Elevated autistic traits in women with anorexia nervosa are associated with morphometric alterations of brain areas linked to social cognition. This finding provides neurobiological support for the behavioural link between anorexia nervosa and ASD and emphasizes the importance of recognizing autistic traits in preventing and treating anorexia nervosa.
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Affiliation(s)
- Malin Björnsdotter
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Monika Davidovic
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Louise Karjalainen
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Göran Starck
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Håkan Olausson
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Elisabet Wentz
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
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Riddle K, Cascio CJ, Woodward ND. Brain structure in autism: a voxel-based morphometry analysis of the Autism Brain Imaging Database Exchange (ABIDE). Brain Imaging Behav 2018; 11:541-551. [PMID: 26941174 DOI: 10.1007/s11682-016-9534-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Increased brain volume is a consistent finding in young children with autism spectrum disorders (ASD); however, the regional specificity and developmental course of abnormal brain structure are less clear. Small sample sizes, particularly among voxel-based morphometry (VBM) investigations, likely contribute to this difficulty. Recently established large-scale neuroimaging data repositories have helped clarify the neuroanatomy of neuropsychiatric disorders such as schizophrenia and may prove useful in ASD. Structural brain images from the Autism Brain Imaging Database Exchange (ABIDE), which contains over 1100 participants, were analyzing using DARTEL VBM to investigate total brain and tissue volumes, and regional brain structure abnormalities in ASD. Two, overlapping cohorts were analyzed; an 'All Subjects' cohort (n = 833) that included all individuals with usable MRI data, and a 'Matched Samples' cohort (n = 600) comprised of ASD and TD individuals matched, within each site, on age and sex. Total brain and grey matter volumes were enlarged by approximately 1-2 % in ASD; however, the effect reached statistical significance in only the All Subjects cohort. Within the All Subjects cohort, VBM analysis revealed enlargement of the left anterior superior temporal gyrus in ASD. No significant regional changes were detected in the Matched Samples cohort. There was a non-significant reduction in the correlation between IQ and TBV in ASD compared to TD. Brain structure abnormalities in ASD individuals age 6 and older consists of a subtle increase in total brain volume due to enlargement of grey matter with little evidence of regionally specific effects.
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Affiliation(s)
- Kaitlin Riddle
- Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Carissa J Cascio
- Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Neil D Woodward
- Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Center for Cognitive Medicine & Psychotic Disorders Program, Vanderbilt Psychiatric Hospital, Suite 3057, 1601 23rd Ave. S., Nashville, TN, 37212, USA.
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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: 18.2] [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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Björnsdotter M, Davidovic M, Karjalainen L, Starck G, Olausson H, Wentz E. Grey matter correlates of autistic traits in women with anorexia nervosa. J Psychiatry Neurosci 2017; 43:1-8. [PMID: 29214796 PMCID: PMC5837888 DOI: 10.1503/jpn.170072] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 06/27/2017] [Accepted: 07/11/2017] [Indexed: 12/27/2022] Open
Abstract
Background Patients with anorexia nervosa exhibit higher levels of behaviours typically associated with autism-spectrum disorder (ASD), but the neural basis is unclear. We sought to determine whether elevated autistic traits in women with anorexia nervosa may be reflected in cortical morphology. Methods We used voxel-based morphometry (VBM) to examine regional grey matter volumes in high-resolution MRI structural brain scans in women with anorexia nervosa and matched healthy controls. The Autism-spectrum Quotient (AQ) scale was used to assess autistic traits. Results Women with anorexia nervosa (n = 25) had higher AQ scores and lower bilateral superior temporal sulcus (STS) grey matter volumes than the control group (n = 25). The AQ scores correlated negatively with average left STS grey matter volume in women with anorexia nervosa. Limitations We did not control for cognitive ability and examined only women with ongoing anorexia nervosa. Conclusion Elevated autistic traits in women with anorexia nervosa are associated with morphometric alterations of brain areas linked to social cognition. This finding provides neurobiological support for the behavioural link between anorexia nervosa and ASD and emphasizes the importance of recognizing autistic traits in preventing and treating anorexia nervosa.
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Affiliation(s)
- Malin Björnsdotter
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Monika Davidovic
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Louise Karjalainen
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Göran Starck
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Håkan Olausson
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
| | - Elisabet Wentz
- From the Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Björnsdotter); the Centre for Social and Affective Neuroscience, Linköping University, Linköping, Sweden (Björnsdotter, Olausson); the Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Davidovic, Olausson); the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden (Karjalainen, Wentz); the Department of Radiation Physics at the Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden (Starck); and the Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden (Starck)
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Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping. Eur Child Adolesc Psychiatry 2017; 26:933-945. [PMID: 28233073 DOI: 10.1007/s00787-017-0964-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 02/17/2017] [Indexed: 02/05/2023]
Abstract
The gray matter abnormalities revealed by magnetic resonance imaging are inconsistent, especially in pediatric individuals with autism spectrum disorder (ASD) (age < 18 years old), a phenomenon possibly related to the core pathophysiology of ASD. The purpose of our meta-analysis was to identify and map the specific gray matter abnormalities in pediatric ASD individuals thereby exploring the potential effects of clinical and demographic characteristics of these gray matter changes. A systematic search was conducted to identify voxel-based morphometry studies in pediatric individuals with ASD. The effect-size signed differential mapping method was used to quantitatively estimate the regional gray matter abnormalities in pediatric ASD individuals. Meta-regression was used to examine the associations among age, gender, intelligence quotient, symptom severity and gray matter changes. Fifteen studies including 364 pediatric individuals with ASD (male = 282, age = 10.3 ± 4.4 years) and 377 healthy controls (male = 289, age = 10.5 ± 4.2 years) were included. Pediatric ASD individuals showed significant gray matter increases in the right angular gyrus, left superior and middle frontal gyrus, left precuneus, left inferior occipital gyrus and right inferior temporal gyrus, most of which involving the default mode network, and decreases in the left cerebellum and left postcentral gyrus. The meta-regression analysis showed that the repetitive behavior scores of the Autism Diagnostic Interview-Revised were positively associated with increased gray matter volumes in the right angular gyrus. Increased rather than decreased gray matter volume, especially involving the angular gyrus and prefrontal cortex may be the core pathophysiology in the early course of ASD.
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Carlisi CO, Norman LJ, Lukito SS, Radua J, Mataix-Cols D, Rubia K. Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder. Biol Psychiatry 2017; 82:83-102. [PMID: 27887721 DOI: 10.1016/j.biopsych.2016.10.006] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 10/03/2016] [Accepted: 10/05/2016] [Indexed: 01/17/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) share inhibitory control deficits possibly underlying poor control over stereotyped and repetitive and compulsive behaviors, respectively. However, it is unclear whether these symptom profiles are mediated by common or distinct neural profiles. This comparative multimodal meta-analysis assessed shared and disorder-specific neuroanatomy and neurofunction of inhibitory functions. METHODS A comparative meta-analysis of 62 voxel-based morphometry and 26 functional magnetic resonance imaging (fMRI) studies of inhibitory control was conducted comparing gray matter volume and activation abnormalities between patients with ASD (structural MRI: 911; fMRI: 188) and OCD (structural MRI: 928; fMRI: 247) and control subjects. Multimodal meta-analysis compared groups across voxel-based morphometry and fMRI. RESULTS Both disorders shared reduced function and structure in the rostral and dorsomedial prefrontal cortex including the anterior cingulate. OCD patients had a disorder-specific increase in structure and function of left basal ganglia (BG) and insula relative to control subjects and ASD patients, who had reduced right BG and insula volumes versus OCD patients. In fMRI, ASD patients showed disorder-specific reduced left dorsolateral-prefrontal activation and reduced posterior cingulate deactivation, whereas OCD patients showed temporoparietal underactivation. CONCLUSIONS The multimodal comparative meta-analysis shows shared and disorder-specific abnormalities. Whereas the rostrodorsomedial prefrontal cortex was smaller in structure and function in both disorders, this was concomitant with increased structure and function in BG and insula in OCD patients, but a reduction in ASD patients, presumably reflecting a disorder-specific frontostriatoinsular dysregulation in OCD in the form of poor frontal control over overactive BG, and a frontostriatoinsular maldevelopment in ASD with reduced structure and function in this network. Disorder-differential mechanisms appear to drive overlapping phenotypes of inhibitory control abnormalities in patients with ASD and OCD.
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Affiliation(s)
- Christina O Carlisi
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Luke J Norman
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Steve S Lukito
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Joaquim Radua
- Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom.
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Inui T, Kumagaya S, Myowa-Yamakoshi M. Neurodevelopmental Hypothesis about the Etiology of Autism Spectrum Disorders. Front Hum Neurosci 2017; 11:354. [PMID: 28744208 PMCID: PMC5504094 DOI: 10.3389/fnhum.2017.00354] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 06/20/2017] [Indexed: 11/13/2022] Open
Abstract
Previous models or hypotheses of autism spectral disorder (ASD) failed to take into full consideration the chronological and causal developmental trajectory, leading to the emergence of diverse phenotypes through a complex interaction between individual etiologies and environmental factors. Those phenotypes include persistent deficits in social communication and social interaction (criteria A in DSM-5), and restricted, repetitive patterns of behavior, interests, or activities (criteria B in DSM-5). In this article, we proposed a domain-general model that can explain criteria in DSM-5 based on the assumption that the same etiological mechanism would trigger the various phenotypes observed in different individuals with ASD. In the model, we assumed the following joint causes as the etiology of autism: (1) Hypoplasia of the pons in the brainstem, occurring immediately following neural tube closure; and (2) Deficiency in the GABA (γ-aminobutyric acid) developmental switch during the perinatal period. Microstructural abnormalities of the pons directly affect both the structural and functional development of the brain areas strongly connected to it, especially amygdala. The impairment of GABA switch could not only lead to the deterioration of inhibitory processing in the neural network, but could also cause abnormal cytoarchitecture. We introduced a perspective that atypical development in both brain structure and function can give full explanation of diverse phenotypes and pathogenetic mechanism of ASD. Finally, we discussed about neural mechanisms underlying the phenotypic characteristics of ASD that are not described in DSM-5 but should be considered as important foundation: sleep, global precedence, categorical perception, intelligence, interoception and motor control.
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Affiliation(s)
- Toshio Inui
- Department of Psychology, Otemon Gakuin UniversityOsaka, Japan
| | - Shinichiro Kumagaya
- Research Center for Advanced Science and Technology, The University of TokyoTokyo, Japan
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Grey matter alterations in migraine: A systematic review and meta-analysis. NEUROIMAGE-CLINICAL 2017; 14:130-140. [PMID: 28180071 PMCID: PMC5279908 DOI: 10.1016/j.nicl.2017.01.019] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 12/14/2016] [Accepted: 01/18/2017] [Indexed: 01/03/2023]
Abstract
Objectives To summarize and meta-analyze studies on changes in grey matter (GM) in patients with migraine. We aimed to determine whether there are concordant structural changes in the foci, whether structural changes are concordant with functional changes, and provide further understanding of the anatomy and biology of migraine. Methods We searched PubMed and Embase for relevant articles published between January 1985 and November 2015, and examined the references within relevant primary articles. Following exclusion of unsuitable studies, meta-analysis were performed using activation likelihood estimation (ALE). Results Eight clinical studies were analyzed for structural changes, containing a total of 390 subjects (191 patients and 199 controls). Five functional studies were enrolled, containing 93 patients and 96 controls. ALE showed that the migraineurs had concordant decreases in the GM volume (GMV) in the bilateral inferior frontal gyri, the right precentral gyrus, the left middle frontal gyrus and the left cingulate gyrus. GMV decreases in right claustrum, left cingulated gyrus, right anterior cingulate, amygdala and left parahippocampal gyrus are related to estimated frequency of headache attack. Activation was found in the somatosensory, cingulate, limbic lobe, basal ganglia and midbrain in migraine patients. Conclusion GM changes in migraineurs may indicate the mechanism of pain processing and associated symptoms. Changes in the frontal gyrus may predispose a person to pain conditions. The limbic regions may be accumulated damage due to the repetitive occurrence of pain-related processes. Increased activation in precentral gyrus and cingulate opposed to GMV decrease might suggest increased effort duo to disorganization of these areas and/or the use of compensatory strategies involving pain processing in migraine. Knowledge of these structural and functional changes may be useful for monitoring disease progression as well as for therapeutic interventions. There are some concordant structural changes in migraine. Some structural changes like frontal lobe and cingulate are also over-activated in interictal phase. Frontal gyrus may predispose a person to pain condition. Limbic regions may be accumulating brain damage due to pain-related processes.
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64
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Anatomical imbalance between cortical networks in autism. Sci Rep 2016; 6:31114. [PMID: 27484308 PMCID: PMC4971490 DOI: 10.1038/srep31114] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 07/10/2016] [Indexed: 02/06/2023] Open
Abstract
Influential psychological models of autism spectrum disorder (ASD) have proposed that this prevalent developmental disorder results from impairment of global (integrative) information processing and overload of local (sensory) information. However, little neuroanatomical evidence consistent with this account has been reported. Here, we examined relative grey matter volumes (rGMVs) between three cortical networks, how they changed with age, and their relationship with core symptomatology. Using public neuroimaging data of high-functioning ASD males and age-/sex-/IQ-matched controls, we first identified age-associated atypical increases in rGMVs of the regions of two sensory systems (auditory and visual networks), and an age-related aberrant decrease in rGMV of a task-control system (fronto-parietal network, FPN) in ASD children. While the enlarged rGMV of the auditory network in ASD adults was associated with the severity of autistic socio-communicational core symptom, that of the visual network was instead correlated with the severity of restricted and repetitive behaviours in ASD. Notably, the atypically decreased rGMV of FPN predicted both of the two core symptoms. These findings suggest that disproportionate undergrowth of a task-control system (FPN) may be a common anatomical basis for the two ASD core symptoms, and relative overgrowth of the two different sensory systems selectively compounds the distinct symptoms.
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65
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Yang X, Si T, Gong Q, Qiu L, Jia Z, Zhou M, Zhao Y, Hu X, Wu M, Zhu H. Brain gray matter alterations and associated demographic profiles in adults with autism spectrum disorder: A meta-analysis of voxel-based morphometry studies. Aust N Z J Psychiatry 2016; 50:741-53. [PMID: 26769980 DOI: 10.1177/0004867415623858] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND There is increasing evidence that children with autism spectrum disorder are accompanied by specific anatomical alterations. However, the anatomical abnormalities in adults with autism spectrum disorder are poorly understood. This study was aimed to identify the neuroanatomical substrates underlying the pathophysiology of adults with autism spectrum disorder. We also investigated the relationship between neuroanatomical alterations and clinical and demographic characteristics. METHODS A total of 13 datasets were enrolled, of which 12 studies compared whole-brain differences of 382 adult patients with autism and 393 healthy control subjects. We conducted a meta-analysis to quantitatively estimate regional gray matter volume abnormalities in individuals with autism using the effect-size signed differential mapping. RESULTS The voxel-wise meta-analysis revealed that relative to controls, adults with autism spectrum disorder had significantly increased gray matter volume in the middle temporal gyrus, superior temporal gyrus, postcentral gyrus and parahippocampal gyrus, and reduced gray matter volume in the anterior cingulate cortex and cerebellum. Variations in gray matter volume were significantly associated with the mean age and mean total IQ score of the patients, as well as with the percentage of male patients with autism. CONCLUSION These findings confirmed that the neuroanatomical alterations in the fronto-temporal cortices, limbic system and cerebellum in adult individuals with autism were different from the children and young adolescent's autism. The effects of demographic characteristics on the brain morphological changes allow us to further clarify the neurobiological mechanisms and developmental trajectory in adult population with autism spectrum disorder.
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Affiliation(s)
- Xun Yang
- School of Sociality and Psychology, Southwest University for Nationalities, Chengdu, China Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Tianjing Si
- School of Sociality and Psychology, Southwest University for Nationalities, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China Department of Psychology, School of Public Administration, Sichuan University, Chengdu, China
| | - Lihua Qiu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China Department of Radiology, The Second People's Hospital of Yibin, Yibin, China
| | - Zhiyun Jia
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Mi Zhou
- School of Sociality and Psychology, Southwest University for Nationalities, Chengdu, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Min Wu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Hongyan Zhu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
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66
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Katz J, d'Albis MA, Boisgontier J, Poupon C, Mangin JF, Guevara P, Duclap D, Hamdani N, Petit J, Monnet D, Le Corvoisier P, Leboyer M, Delorme R, Houenou J. Similar white matter but opposite grey matter changes in schizophrenia and high-functioning autism. Acta Psychiatr Scand 2016; 134:31-9. [PMID: 27105136 DOI: 10.1111/acps.12579] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVE High-functioning autism (HFA) and schizophrenia (SZ) are two of the main neurodevelopmental disorders, sharing several clinical dimensions and risk factors. Their exact relationship is poorly understood, and few studies have directly compared both disorders. Our aim was thus to directly compare neuroanatomy of HFA and SZ using a multimodal MRI design. METHODS We scanned 79 male adult subjects with 3T MRI (23 with HFA, 24 with SZ and 32 healthy controls, with similar non-verbal IQ). We compared them using both diffusion-based whole-brain tractography and T1 voxel-based morphometry. RESULTS HFA and SZ groups exhibited similar white matter alterations in the left fronto-occipital inferior fasciculus with a decrease in generalized fractional anisotropy compared with controls. In grey matter, the HFA group demonstrated bilateral prefrontal and anterior cingulate increases in contrast with prefrontal and left temporal reductions in SZ. CONCLUSION HFA and SZ may share common white matter deficits in long-range connections involved in social functions, but opposite grey matter abnormalities in frontal regions that subserve complex cognitive functions. Our results are consistent with the fronto-occipital underconnectivity theory of HFA and the altered connectivity hypothesis of SZ and suggest the existence of both associated and diametrical liabilities to these two conditions.
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Affiliation(s)
- J Katz
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - M-A d'Albis
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - J Boisgontier
- Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - C Poupon
- UNIRS Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - J-F Mangin
- UNATI Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - P Guevara
- Department of Electrical Engineering, Universidad de Concepcion, Concepcion, Chile
| | - D Duclap
- UNIRS Lab, Neurospin, CEA Saclay, Gif sur Yvette, France
| | - N Hamdani
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - J Petit
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Fondation FondaMental, Créteil, France
| | - D Monnet
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Fondation FondaMental, Créteil, France
| | - P Le Corvoisier
- Centre d'Investigation Clinique 1430, INSERM, Créteil, France.,APHP, GH Henri Mondor, Créteil, France
| | - M Leboyer
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
| | - R Delorme
- Human Genetics and Cognitive Functions, CNRS URA 2182 'Genes, Synapses and Cognition', Institut Pasteur, Paris, France.,APHP, Department of Child and Adolescent Psychiatry, Robert Debré Hospital, Paris, France
| | - J Houenou
- AP-HP, Pôle de Psychiatrie, DHU PePsy, Hôpitaux Universitaires Mondor, Créteil, France.,Faculté de médecine, Université Paris Est, Créteil, France.,Fondation FondaMental, Créteil, France.,UNIACT Lab, Psychiatry Team, Neurospin, CEA Saclay, Gif sur Yvette, France.,INSERM, U955 Equipe 15 «Psychiatrie Translationnelle», IMRB, Créteil, France
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Eilam-Stock T, Wu T, Spagna A, Egan LJ, Fan J. Neuroanatomical Alterations in High-Functioning Adults with Autism Spectrum Disorder. Front Neurosci 2016; 10:237. [PMID: 27313505 PMCID: PMC4889574 DOI: 10.3389/fnins.2016.00237] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 05/12/2016] [Indexed: 12/14/2022] Open
Abstract
Autism spectrum disorder (ASD) is a pervasive neurodevelopmental condition, affecting cognition and behavior throughout the life span. With recent advances in neuroimaging techniques and analytical approaches, a considerable effort has been directed toward identifying the neuroanatomical underpinnings of ASD. While gray-matter abnormalities have been found throughout cortical, subcortical, and cerebellar regions of affected individuals, there is currently little consistency across findings, partly due to small sample-sizes and great heterogeneity among participants in previous studies. Here, we report voxel-based morphometry of structural magnetic resonance images in a relatively large sample of high-functioning adults with ASD (n = 66) and matched typically-developing controls (n = 66) drawn from multiple studies. We found decreased gray-matter volume in posterior brain regions, including the posterior hippocampus and cuneus, as well as increased gray-matter volume in frontal brain regions, including the medial prefrontal cortex, superior and inferior frontal gyri, and middle temporal gyrus in individuals with ASD. We discuss our results in relation to findings obtained in previous studies, as well as their potential clinical implications.
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Affiliation(s)
- Tehila Eilam-Stock
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Department of Psychology, Queens College, City University of New YorkFlushing, NY, USA; The Graduate Center, City University of New YorkNew York, NY, USA
| | - Tingting Wu
- Department of Psychology, Queens College, City University of New York Flushing, NY, USA
| | - Alfredo Spagna
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Department of Psychology, Queens College, City University of New YorkFlushing, NY, USA
| | - Laura J Egan
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Department of Psychology, Queens College, City University of New YorkFlushing, NY, USA
| | - Jin Fan
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Department of Psychology, Queens College, City University of New YorkFlushing, NY, USA; The Graduate Center, City University of New YorkNew York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA
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68
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Hirjak D, Wolf RC, Paternoga I, Kubera KM, Thomann AK, Stieltjes B, Maier-Hein KH, Thomann PA. Neuroanatomical Markers of Neurological Soft Signs in Recent-Onset Schizophrenia and Asperger-Syndrome. Brain Topogr 2015; 29:382-94. [DOI: 10.1007/s10548-015-0468-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 12/14/2015] [Indexed: 01/08/2023]
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69
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D'Mello AM, Stoodley CJ. Cerebro-cerebellar circuits in autism spectrum disorder. Front Neurosci 2015; 9:408. [PMID: 26594140 PMCID: PMC4633503 DOI: 10.3389/fnins.2015.00408] [Citation(s) in RCA: 182] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 10/12/2015] [Indexed: 12/30/2022] Open
Abstract
The cerebellum is one of the most consistent sites of abnormality in autism spectrum disorder (ASD) and cerebellar damage is associated with an increased risk of ASD symptoms, suggesting that cerebellar dysfunction may play a crucial role in the etiology of ASD. The cerebellum forms multiple closed-loop circuits with cerebral cortical regions that underpin movement, language, and social processing. Through these circuits, cerebellar dysfunction could impact the core ASD symptoms of social and communication deficits and repetitive and stereotyped behaviors. The emerging topography of sensorimotor, cognitive, and affective subregions in the cerebellum provides a new framework for interpreting the significance of regional cerebellar findings in ASD and their relationship to broader cerebro-cerebellar circuits. Further, recent research supports the idea that the integrity of cerebro-cerebellar loops might be important for early cortical development; disruptions in specific cerebro-cerebellar loops in ASD might impede the specialization of cortical regions involved in motor control, language, and social interaction, leading to impairments in these domains. Consistent with this concept, structural, and functional differences in sensorimotor regions of the cerebellum and sensorimotor cerebro-cerebellar circuits are associated with deficits in motor control and increased repetitive and stereotyped behaviors in ASD. Further, communication and social impairments are associated with atypical activation and structure in cerebro-cerebellar loops underpinning language and social cognition. Finally, there is converging evidence from structural, functional, and connectivity neuroimaging studies that cerebellar right Crus I/II abnormalities are related to more severe ASD impairments in all domains. We propose that cerebellar abnormalities may disrupt optimization of both structure and function in specific cerebro-cerebellar circuits in ASD.
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Affiliation(s)
- Anila M D'Mello
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
| | - Catherine J Stoodley
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
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70
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Watanabe T, Rees G. Age-associated changes in rich-club organisation in autistic and neurotypical human brains. Sci Rep 2015; 5:16152. [PMID: 26537477 PMCID: PMC4633620 DOI: 10.1038/srep16152] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 10/05/2015] [Indexed: 01/25/2023] Open
Abstract
Macroscopic structural networks in the human brain have a rich-club architecture comprising both highly inter-connected central regions and sparsely connected peripheral regions. Recent studies show that disruption of this functionally efficient organisation is associated with several psychiatric disorders. However, despite increasing attention to this network property, whether age-associated changes in rich-club organisation occur during human adolescence remains unclear. Here, analysing a publicly shared diffusion tensor imaging dataset, we found that, during adolescence, brains of typically developing (TD) individuals showed increases in rich-club organisation and inferred network functionality, whereas individuals with autism spectrum disorders (ASD) did not. These differences between TD and ASD groups were statistically significant for both structural and functional properties. Moreover, this typical age-related changes in rich-club organisation were characterised by progressive involvement of the right anterior insula. In contrast, in ASD individuals, did not show typical increases in grey matter volume, and this relative anatomical immaturity was correlated with the severity of ASD social symptoms. These results provide evidence that rich-club architecture is one of the bases of functionally efficient brain networks underpinning complex cognitive functions in adult human brains. Furthermore, our findings suggest that immature rich-club organisation might be associated with some neurodevelopmental disorders.
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Affiliation(s)
- Takamitsu Watanabe
- Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, WC1N 3A, United Kingdom
| | - Geraint Rees
- Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, WC1N 3A, United Kingdom.,Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London WC1N 3BG, United Kingdom
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71
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Supekar K, Menon V. Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism. Mol Autism 2015; 6:50. [PMID: 26347127 PMCID: PMC4559968 DOI: 10.1186/s13229-015-0042-z] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 08/17/2015] [Indexed: 12/03/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is diagnosed much less often in females than males. Emerging behavioral accounts suggest that the clinical presentation of autism is different in females and males, yet research examining sex differences in core symptoms of autism in affected children has been limited. Additionally, to date, there have been no systematic attempts to characterize neuroanatomical differences underlying the distinct behavioral profiles observed in girls and boys with ASD. This is in part because extant ASD studies have included a small number of girls. Methods Leveraging the National Database for Autism Research (NDAR), we first analyzed symptom severity in a large sample consisting of 128 ASD girls and 614 age- and IQ-matched ASD boys. We then examined symptom severity and structural imaging data using novel multivariate pattern analysis in a well-matched group of 25 ASD girls, 25 ASD boys, 19 typically developing (TD) girls, and 19 TD boys, obtained from the Autism Brain Imaging Data Exchange (ABIDE). Results In both the NDAR and ABIDE datasets, girls, compared to boys, with ASD showed less severe repetitive/restricted behaviors (RRBs) and comparable deficits in the social and communication domains. In the ABIDE imaging dataset, gray matter (GM) patterns in the motor cortex, supplementary motor area (SMA), cerebellum, fusiform gyrus, and amygdala accurately discriminated girls and boys with ASD. This sex difference pattern was specific to ASD as the GM in these brain regions did not discriminate TD girls and boys. Moreover, GM in the motor cortex, SMA, and crus 1 subdivision of the cerebellum was correlated with RRB in girls whereas GM in the right putamen—the region that discriminated TD girls and boys—was correlated with RRB in boys. Conclusions We found robust evidence for reduced levels of RRB in girls, compared to boys, with ASD, providing the strongest evidence to date for sex differences in a core phenotypic feature of childhood ASD. Sex differences in brain morphometry are prominent in the motor system and in areas that comprise the “social brain.” Notably, RRB severity is associated with sex differences in GM morphometry in distinct motor regions. Our findings provide novel insights into the neurobiology of sex differences in childhood autism. Electronic supplementary material The online version of this article (doi:10.1186/s13229-015-0042-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kaustubh Supekar
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94304-5719 USA
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94304-5719 USA ; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304 USA ; Stanford Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94304 USA
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Abstract
The cerebellum is one of the most consistent sites of abnormality in autism spectrum disorder (ASD) and cerebellar damage is associated with an increased risk of ASD symptoms, suggesting that cerebellar dysfunction may play a crucial role in the etiology of ASD. The cerebellum forms multiple closed-loop circuits with cerebral cortical regions that underpin movement, language, and social processing. Through these circuits, cerebellar dysfunction could impact the core ASD symptoms of social and communication deficits and repetitive and stereotyped behaviors. The emerging topography of sensorimotor, cognitive, and affective subregions in the cerebellum provides a new framework for interpreting the significance of regional cerebellar findings in ASD and their relationship to broader cerebro-cerebellar circuits. Further, recent research supports the idea that the integrity of cerebro-cerebellar loops might be important for early cortical development; disruptions in specific cerebro-cerebellar loops in ASD might impede the specialization of cortical regions involved in motor control, language, and social interaction, leading to impairments in these domains. Consistent with this concept, structural, and functional differences in sensorimotor regions of the cerebellum and sensorimotor cerebro-cerebellar circuits are associated with deficits in motor control and increased repetitive and stereotyped behaviors in ASD. Further, communication and social impairments are associated with atypical activation and structure in cerebro-cerebellar loops underpinning language and social cognition. Finally, there is converging evidence from structural, functional, and connectivity neuroimaging studies that cerebellar right Crus I/II abnormalities are related to more severe ASD impairments in all domains. We propose that cerebellar abnormalities may disrupt optimization of both structure and function in specific cerebro-cerebellar circuits in ASD.
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Affiliation(s)
- Anila M D'Mello
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
| | - Catherine J Stoodley
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
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