Secondary analysis: Graph analysis of brain connectivity network in autism spectrum disorder

Author:

Pourmotahari Fatemeh1,Borumandnia Nasrin2,Tabatabaei Seyyed Mohammad3,Alavimajd Hamid4

Affiliation:

1. Department of Community Medicine, Faculty of Medicine, Dezful University of Medical Sciences, Dezful, Iran

2. Urology and Nephrology Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3. Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

4. Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Abstract

Abstract Background: Autism spectrum disorder is a neurodevelopmental condition in which impaired connectivity of the brain network. The functional magnetic resonance imaging (fMRI) technique can provide information on the early diagnosis of autism by evaluating communication patterns in the brain. The present study aimed to assess functional connectivity (FC) variations in autism patients. Materials and Methods: Resting-state fMRI data were obtained from the “ABIDE” website. These data include 294 autism patients with a mean (standard deviation) age of 16.49 (7.63) and 312 healthy individuals with a mean (standard deviation) age of 15.98 (6.31). In this study, changes in communication patterns across different brain regions in autism patients were investigated using graph-based models. Results: The FC cluster of 17 regions in the brain, such as the hippocampus, cuneus, and inferior temporal, was different between the patient and healthy groups. Based on connectivity analysis of pair regions, 36 of the 136 correlations in the cluster were significantly different between the two groups. The middle temporal gyrus had more communication than the other regions. The largest difference between groups was – 0.112, which corresponding to the right middle temporal and right thalamus regions. Conclusion: The findings of this study revealed functional relationship alterations in patients with autism compared to healthy individuals, indicating the disease’s effects on the brain connectivity network.

Publisher

Medknow

Subject

General Medicine

Reference28 articles.

1. Prevalence of autism spectrum disorder among children aged 8 years –Autism and developmental disabilities monitoring network, 11 sites, United States, 2016;Maenner;MMWR Surveill Summ,2020

2. Autism risk factors:Genes, environment, and gene-environment interactions;Chaste;Dialogues Clin Neurosci,2012

3. Changes in the topological organization of the default mode network in autism spectrum disorder;Chen;Brain Imaging Behav,2021

4. Resting-state functional connectivity in neuropsychiatric disorders;Greicius;Curr Opin Neurol,2008

5. How well does early diagnosis of autism stand the test of time?Follow-up study of children assessed for autism at age 2 and development of an early diagnostic service;Moore;Autism,2003

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3