Literature DB >> 31167156

Decreased interhemispheric functional connectivity rather than corpus callosum volume as a potential biomarker for autism spectrum disorder.

Qin Li1, Benjamin Becker1, Xi Jiang1, Zhiying Zhao1, Qiong Zhang1, Shuxia Yao2, Keith M Kendrick3.   

Abstract

Previous studies have implicated both structural and interhemispheric functional connectivity alterations in autism spectrum disorder (ASD) although findings are inconsistent. There is evidence that connectivity between corresponding regions in each hemisphere (homotopic) may be of particular importance and therefore the present study used the Autism Brain Imaging Data Exchange data to investigate ASD-related resting-state and structural alterations as well as associations with symptom severity (Autism Diagnostic Observation Schedule - ADOS). We employed a voxel-mirrored homotopic connectivity analysis to compare interhemispheric functional connectivity in 409 ASD and 455 typically developing subjects. Additionally, voxel-based morphology was used to investigate volumetric differences in the corpus callosum, the major commissure for interhemispheric communication. ASD subjects demonstrated significant reductions in interhemispheric functional connections between regions in the default mode network (medial prefrontal, posterior cingulate and precuneus), salience network (anterior cingulate and insula), mirror neuron/motor systems (inferior frontal gyrus, inferior parietal lobule, precentral gyrus, supplementary motor area), thalamus and auditory (superior temporal gyrus) and visual systems (lingual, fusiform and inferior occipital gyri). A support vector machine analysis based on interhemispheric connectivity (but not all homotopic) revealed an average classification accuracy of 88.70% for distinguishing ASD from controls across different sites. In ASD subjects symptom severity as measured by ADOS was negatively associated with posterior cingulate, insula and superior temporal gyrus homotopic functional connectivity. While ASD subjects displayed reduced anterior and posterior callosal volumes they were not associated with either ADOS scores or functional connectivity changes. Our findings suggest that reduced interhemispheric connectivity involving homotopic regions may be a potential biomarker for ASD with bilateral posterior cingulate, insula and superior temporal gyrus connections being associated with symptom severity.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autism spectrum disorder; Biomarker; Corpus callosum volume; Homotopic interhemispheric functional connectivity; Resting state

Year:  2019        PMID: 31167156     DOI: 10.1016/j.cortex.2019.05.003

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  7 in total

1.  Decreased Resting-State Interhemispheric Functional Connectivity in Medication-Free Obsessive-Compulsive Disorder.

Authors:  Cuicui Jia; Yangpan Ou; Yunhui Chen; Ping Li; Dan Lv; Ru Yang; Zhaoxi Zhong; Lei Sun; Yuhua Wang; Guangfeng Zhang; Hong Guo; Zhenghai Sun; Wei Wang; Yefu Wang; Xiaoping Wang; Wenbin Guo
Journal:  Front Psychiatry       Date:  2020-09-15       Impact factor: 4.157

2.  Motor Impairment Increases in Children With Autism Spectrum Disorder as a Function of Social Communication, Cognitive and Functional Impairment, Repetitive Behavior Severity, and Comorbid Diagnoses: A SPARK Study Report.

Authors:  Anjana N Bhat
Journal:  Autism Res       Date:  2020-12-09       Impact factor: 4.633

3.  Experience-dependent weakening of callosal synaptic connections in the absence of postsynaptic FMRP.

Authors:  Zhe Zhang; Jay R Gibson; Kimberly M Huber
Journal:  Elife       Date:  2021-10-07       Impact factor: 8.140

4.  Well-Being Is Associated With Local to Remote Cortical Connectivity.

Authors:  Yubin Li; Chunlin Li; Lili Jiang
Journal:  Front Behav Neurosci       Date:  2022-03-11       Impact factor: 3.558

5.  EEG resting-state functional connectivity: evidence for an imbalance of external/internal information integration in autism.

Authors:  Prany Wantzen; Patrice Clochon; Franck Doidy; Fabrice Wallois; Mahdi Mahmoudzadeh; Pierre Desaunay; Mille Christian; Jean-Marc Guilé; Fabian Guénolé; Francis Eustache; Jean-Marc Baleyte; Bérengère Guillery-Girard
Journal:  J Neurodev Disord       Date:  2022-08-27       Impact factor: 4.074

6.  A meta-analytic investigation of grey matter differences in anorexia nervosa and autism spectrum disorder.

Authors:  Michelle Sader; Justin H G Williams; Gordon D Waiter
Journal:  Eur Eat Disord Rev       Date:  2022-05-07

Review 7.  Brain imaging-based machine learning in autism spectrum disorder: methods and applications.

Authors:  Ming Xu; Vince Calhoun; Rongtao Jiang; Weizheng Yan; Jing Sui
Journal:  J Neurosci Methods       Date:  2021-06-24       Impact factor: 2.390

  7 in total

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