Literature DB >> 33123725

Mapping Progressive Gray Matter Alterations in Early Childhood Autistic Brain.

Xiaonan Guo1, Xujun Duan1,2, John Suckling3, Jia Wang4, Xiaodong Kang5, Heng Chen2,6, Bharat B Biswal2,7, Jing Cao5, Changchun He2, Jinming Xiao2, Xinyue Huang2, Runshi Wang1, Shaoqiang Han2, Yun-Shuang Fan2, Jing Guo2, Jingping Zhao8, Lijie Wu4, Huafu Chen1,2.   

Abstract

Autism spectrum disorder is an early-onset neurodevelopmental condition. This study aimed to investigate the progressive structural alterations in the autistic brain during early childhood. Structural magnetic resonance imaging scans were examined in a cross-sectional sample of 67 autistic children and 63 demographically matched typically developing (TD) children, aged 2-7 years. Voxel-based morphometry and a general linear model were used to ascertain the effects of diagnosis, age, and a diagnosis-by-age interaction on the gray matter volume. Causal structural covariance network analysis was performed to map the interregional influences of brain structural alterations with increasing age. The autism group showed spatially distributed increases in gray matter volume when controlling for age-related effects, compared with TD children. A significant diagnosis-by-age interaction effect was observed in the fusiform face area (FFA, Fpeak = 13.57) and cerebellum/vermis (Fpeak = 12.73). Compared with TD children, the gray matter development of the FFA in autism displayed altered influences on that of the social brain network regions (false discovery rate corrected, P < 0.05). Our findings indicate the atypical neurodevelopment of the FFA in the autistic brain during early childhood and highlight altered developmental effects of this region on the social brain network.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  Granger causality; autism spectrum disorder; gray matter volume; neurodevelopment; structural magnetic resonance imaging

Mesh:

Year:  2021        PMID: 33123725      PMCID: PMC7869087          DOI: 10.1093/cercor/bhaa304

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  49 in total

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Journal:  Brain Res       Date:  2010-10-01       Impact factor: 3.252

2.  The fusiform face area: a module in human extrastriate cortex specialized for face perception.

Authors:  N Kanwisher; J McDermott; M M Chun
Journal:  J Neurosci       Date:  1997-06-01       Impact factor: 6.167

3.  The role of the fusiform-amygdala system in the pathophysiology of autism.

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Review 4.  Imaging structural and functional brain development in early childhood.

Authors:  John H Gilmore; Rebecca C Knickmeyer; Wei Gao
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Journal:  Neuropsychopharmacology       Date:  2020-05-12       Impact factor: 7.853

6.  Heterogeneity in the patterns of neural abnormality in autistic spectrum disorders: evidence from ERP and MRI.

Authors:  Claire H Salmond; Faraneh Vargha-Khadem; David G Gadian; Michelle de Haan; Torsten Baldeweg
Journal:  Cortex       Date:  2007-08       Impact factor: 4.027

7.  Gaze fixation and the neural circuitry of face processing in autism.

Authors:  Kim M Dalton; Brendon M Nacewicz; Tom Johnstone; Hillary S Schaefer; Morton Ann Gernsbacher; H H Goldsmith; Andrew L Alexander; Richard J Davidson
Journal:  Nat Neurosci       Date:  2005-03-06       Impact factor: 24.884

8.  Cerebellar Purkinje cells are reduced in a subpopulation of autistic brains: a stereological experiment using calbindin-D28k.

Authors:  Elizabeth R Whitney; Thomas L Kemper; Margaret L Bauman; Douglas L Rosene; Gene J Blatt
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9.  The Core Brain Region for Face Processing in Schizophrenia Lacks Face Selectivity.

Authors:  Stephen Maher; Tor Ekstrom; Daphne Holt; Dost Ongur; Yue Chen
Journal:  Schizophr Bull       Date:  2015-10-09       Impact factor: 9.306

Review 10.  Big data approaches to decomposing heterogeneity across the autism spectrum.

Authors:  Michael V Lombardo; Meng-Chuan Lai; Simon Baron-Cohen
Journal:  Mol Psychiatry       Date:  2019-01-07       Impact factor: 15.992

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2.  Causal Structural Covariance Network Suggesting Structural Alterations Progression in Type 2 Diabetes Patients.

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