Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping

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.

[1]  Arthur W. Toga,et al.  Diminished Gray Matter Within the Hypothalamus in Autism Disorder: A Potential Link to Hormonal Effects? , 2011, Biological Psychiatry.

[2]  A. Mack,et al.  Gray Matter Volume Abnormalities in ADHD: Voxel-Based Meta-Analysis Exploring the Effects of Age and Stimulant Medication , 2013 .

[3]  F. Happé,et al.  Meta-analysis of gray matter abnormalities in autism spectrum disorder: should Asperger disorder be subsumed under a broader umbrella of autistic spectrum disorder? , 2011, Archives of general psychiatry.

[4]  Hugo G. Schnack,et al.  Changes in the Developmental Trajectories of Striatum in Autism , 2009, Biological Psychiatry.

[5]  Chris Rorden,et al.  Gray and white matter imbalance – Typical structural abnormality underlying classic autism? , 2008, Brain and Development.

[6]  Lucina Q. Uddin,et al.  Multivariate Searchlight Classification of Structural Magnetic Resonance Imaging in Children and Adolescents with Autism , 2011, Biological Psychiatry.

[7]  Marieke Langen,et al.  Changes in the Development of Striatum Are Involved in Repetitive Behavior in Autism , 2014, Biological Psychiatry.

[8]  Alex Fornito,et al.  Voxelwise Meta-Analysis of Gray Matter Abnormalities in Bipolar Disorder , 2010, Biological Psychiatry.

[9]  A. Schleicher,et al.  Asymmetry in the Human Motor Cortex and Handedness , 1996, NeuroImage.

[10]  R. Buckner The Cerebellum and Cognitive Function: 25 Years of Insight from Anatomy and Neuroimaging , 2013, Neuron.

[11]  Simon B Eickhoff,et al.  Brain structure anomalies in autism spectrum disorder—a meta‐analysis of VBM studies using anatomic likelihood estimation , 2012, Human brain mapping.

[12]  K. Amunts,et al.  Interhemispheric asymmetry of the human motor cortex related to handedness and gender , 2000, Neuropsychologia.

[13]  P. Thuras,et al.  Purkinje Cell Size Is Reduced in Cerebellum of Patients with Autism , 2002, Cellular and Molecular Neurobiology.

[14]  D. Amaral,et al.  The Amygdala Is Enlarged in Children But Not Adolescents with Autism; the Hippocampus Is Enlarged at All Ages , 2004, The Journal of Neuroscience.

[15]  M. Seghier The Angular Gyrus , 2013, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[16]  Susan A. Sadek,et al.  Atypical neural self-representation in autism. , 2010, Brain : a journal of neurology.

[17]  E. Courchesne,et al.  Neuron number and size in prefrontal cortex of children with autism. , 2011, JAMA.

[18]  T. Kemper,et al.  The contribution of neuropathologic studies to the understanding of autism. , 1993, Neurologic clinics.

[19]  Paola Mengotti,et al.  Altered white matter integrity and development in children with autism: A combined voxel-based morphometry and diffusion imaging study , 2011, Brain Research Bulletin.

[20]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[21]  P. Teitelbaum,et al.  Movement analysis in infancy may be useful for early diagnosis of autism. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[22]  B. Leventhal,et al.  The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism , 2000, Journal of autism and developmental disorders.

[23]  Guinevere F. Eden,et al.  Meta-Analysis of the Functional Neuroanatomy of Single-Word Reading: Method and Validation , 2002, NeuroImage.

[24]  Richard S. Frackowiak,et al.  Superior temporal sulcus anatomical abnormalities in childhood autism: a voxel-based morphometry MRI study , 2004, NeuroImage.

[25]  Katiuscia Sacco,et al.  Grey matter abnormality in autism spectrum disorder: an activation likelihood estimation meta-analysis study , 2011, Journal of Neurology, Neurosurgery & Psychiatry.

[26]  Daniel P. Kennedy,et al.  Mapping Early Brain Development in Autism , 2007, Neuron.

[27]  Ruth A. Carper,et al.  Longitudinal Magnetic Resonance Imaging Study of Cortical Development through Early Childhood in Autism , 2010, The Journal of Neuroscience.

[28]  Maureen S. Durkin,et al.  Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012 , 2018, Morbidity and mortality weekly report. Surveillance summaries.

[29]  S. Chua,et al.  Can Asperger syndrome be distinguished from autism? An anatomic likelihood meta-analysis of MRI studies. , 2011, Journal of psychiatry & neuroscience : JPN.

[30]  F. Di Salle,et al.  Basal Forebrain Involvement in Low-Functioning Autistic Children: A Voxel-Based Morphometry Study , 2011, American Journal of Neuroradiology.

[31]  Joaquim Radua,et al.  Meta-analytical comparison of voxel-based morphometry studies in obsessive-compulsive disorder vs other anxiety disorders. , 2010, Archives of general psychiatry.

[32]  Georgios P. D. Argyropoulos The cerebellum, internal models and prediction in ‘non-motor’ aspects of language: A critical review , 2016, Brain and Language.

[33]  Janaina Mourão Miranda,et al.  Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach , 2010, NeuroImage.

[34]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[35]  Norihiro Sadato,et al.  Smaller insula and inferior frontal volumes in young adults with pervasive developmental disorders , 2010, NeuroImage.

[36]  Qiyong Gong,et al.  Brain gray matter alterations and associated demographic profiles in adults with autism spectrum disorder: A meta-analysis of voxel-based morphometry studies , 2016, The Australian and New Zealand journal of psychiatry.

[37]  A. Zimmerman,et al.  Neuroglial activation and neuroinflammation in the brain of patients with autism , 2005, Annals of neurology.

[38]  G. Dawson,et al.  Brain structural abnormalities in young children with autism spectrum disorder , 2002, Neurology.

[39]  Aleksandra Badura,et al.  The Cerebellum, Sensitive Periods, and Autism , 2014, Neuron.

[40]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[41]  S. Lawrie,et al.  Towards a neuroanatomy of autism: A systematic review and meta-analysis of structural magnetic resonance imaging studies , 2008, European Psychiatry.

[42]  Kun-Hsien Chou,et al.  ANS: Aberrant Neurodevelopment of the Social Cognition Network in Adolescents with Autism Spectrum Disorders , 2011, PloS one.

[43]  A. Meyer-Lindenberg,et al.  Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication , 2012, Neuroscience & Biobehavioral Reviews.

[44]  Alan C. Evans,et al.  Structural Gray Matter Differences During Childhood Development in Autism Spectrum Disorder: A Multimetric Approach. , 2015, Pediatric neurology.

[45]  Jessica Brian,et al.  A Prospective Case Series of High-risk Infants who Developed Autism , 2007, Journal of autism and developmental disorders.

[46]  Nikolaus F. Troje,et al.  Perception of biological motion in autism spectrum disorders , 2008, Neuropsychologia.

[47]  Shanshan Hong,et al.  Voxel-based morphometry study on brain structure in children with high-functioning autism , 2008, Neuroreport.

[48]  J. Raduà,et al.  Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. , 2009, The British journal of psychiatry : the journal of mental science.

[49]  E. Courchesne,et al.  Brain growth across the life span in autism: Age-specific changes in anatomical pathology , 2011, Brain Research.

[50]  Karl J. Friston,et al.  A critique of functional localisers , 2006, NeuroImage.

[51]  J. Raduà,et al.  Localized grey matter atrophy in multiple sclerosis: A meta-analysis of voxel-based morphometry studies and associations with functional disability , 2013, Neuroscience & Biobehavioral Reviews.

[52]  S. Fatemi,et al.  Levels of Bcl-2 and P53 Are Altered in Superior Frontal and Cerebellar Cortices of Autistic Subjects , 2003, Cellular and Molecular Neurobiology.

[53]  J. Lainhart Brain imaging research in autism spectrum disorders: in search of neuropathology and health across the lifespan , 2015, Current opinion in psychiatry.

[54]  Stephen Lawrie,et al.  Structural correlates of intellectual impairment and autistic features in adolescents , 2006, NeuroImage.

[55]  K J Friston,et al.  The role of the medial temporal lobe in autistic spectrum disorders , 2005, The European journal of neuroscience.

[56]  Vince D. Calhoun,et al.  Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients , 2010, NeuroImage.

[57]  Gereon R Fink,et al.  Structural brain abnormalities in adolescents with autism spectrum disorder and patients with attention deficit/hyperactivity disorder. , 2007, Journal of child psychology and psychiatry, and allied disciplines.

[58]  David I. Perrett,et al.  A voxel-based investigation of brain structure in male adolescents with autistic spectrum disorder , 2004, NeuroImage.

[59]  E. Courchesne,et al.  Microglial Activation and Increased Microglial Density Observed in the Dorsolateral Prefrontal Cortex in Autism , 2010, Biological Psychiatry.

[60]  Hiroshi Fukuda,et al.  Correlation among body height, intelligence, and brain gray matter volume in healthy children , 2012, NeuroImage.

[61]  Alessandra Retico,et al.  Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses , 2012, NeuroImage.

[62]  M. Lindquist,et al.  Meta-analysis of functional neuroimaging data: current and future directions. , 2007, Social cognitive and affective neuroscience.

[63]  Rajesh K. Kana,et al.  Anatomical likelihood estimation meta-analysis of grey and white matter anomalies in autism spectrum disorders , 2014, NeuroImage: Clinical.

[64]  Eric Courchesne,et al.  Localized enlargement of the frontal cortex in early autism , 2005, Biological Psychiatry.

[65]  S. Nagarajan,et al.  Children With Autism Show Reduced Somatosensory Response: An MEG Study , 2012, Autism Research.

[66]  Wolfgang Viechtbauer,et al.  Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model , 2005 .

[67]  Q. Gong,et al.  Brain gray matter alterations in first episodes of depression: A meta-analysis of whole-brain studies , 2016, Neuroscience & Biobehavioral Reviews.

[68]  Neil D. Woodward,et al.  Brain structure in autism: a voxel-based morphometry analysis of the Autism Brain Imaging Database Exchange (ABIDE) , 2016, Brain Imaging and Behavior.

[69]  Allan L Reiss,et al.  Voxel-based morphometry elucidates structural neuroanatomy of high-functioning autism and Asperger syndrome. , 2004, Developmental medicine and child neurology.

[70]  Margot J. Taylor,et al.  Regional differences in grey and white matter in children and adults with autism spectrum disorders: an activation likelihood estimate (ALE) meta‐analysis , 2012, Autism research : official journal of the International Society for Autism Research.

[71]  Lutz Jäncke,et al.  Anatomical left‐right asymmetry of language‐related temporal cortex is different in left‐ and right‐handers , 1991, Annals of neurology.

[72]  J. Suckling,et al.  Mapping the brain in autism. A voxel-based MRI study of volumetric differences and intercorrelations in autism. , 2004, Brain : a journal of neurology.

[73]  Fiona Toal,et al.  Women with autistic-spectrum disorder: magnetic resonance imaging study of brain anatomy , 2007, British Journal of Psychiatry.

[74]  Thomas E. Nichols,et al.  Activation of the medial prefrontal cortex and extended amygdala by individual ratings of emotional arousal: a fMRI study , 2003, Biological Psychiatry.

[75]  A. Couteur,et al.  Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders , 1994, Journal of autism and developmental disorders.

[76]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement , 2009, BMJ.

[77]  J Radua,et al.  A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps , 2012, European Psychiatry.

[78]  D. Gadian,et al.  Heterogeneity in the Patterns of Neural Abnormality in Autistic Spectrum Disorders: Evidence from ERP and MRI , 2007, Cortex.

[79]  Ruth A. Carper,et al.  Inverse correlation between frontal lobe and cerebellum sizes in children with autism. , 2000, Brain : a journal of neurology.

[80]  Domenico Aquino,et al.  Gray Matter Reduction in the Vermis and CRUS-II Is Associated with Social and Interaction Deficits in Low-Functioning Children with Autistic Spectrum Disorders: a VBM-DARTEL Study , 2013, The Cerebellum.

[81]  Neil Roberts,et al.  Sulcal morphology and volume of Broca’s area linked to handedness and sex , 2012, Brain and Language.

[82]  Ting Qiu,et al.  Autism Spectrum Disorder as Early Neurodevelopmental Disorder: Evidence from the Brain Imaging Abnormalities in 2–3 Years Old Toddlers , 2014, Journal of Autism and Developmental Disorders.

[83]  Nicholas Lange,et al.  Longitudinal Volumetric Brain Changes in Autism Spectrum Disorder Ages 6–35 Years , 2015, Autism research : official journal of the International Society for Autism Research.

[84]  Brief Report: CANTAB Performance and Brain Structure in Pediatric Patients with Asperger Syndrome , 2013, Journal of autism and developmental disorders.

[85]  Michael J. Martinez,et al.  Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template , 2007, Human brain mapping.

[86]  J. Suckling,et al.  Distinct patterns of grey matter abnormality in high-functioning autism and Asperger's syndrome. , 2008, Journal of child psychology and psychiatry, and allied disciplines.