Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Duan, YuMei;Zhao, WeiDong;Luo, Cheng;Liu, XiaoJu;Jiang, Hong;...

作者机构：

[Duan, YuMei] Chengdu Jincheng Coll, Dept Comp & Software, Chengdu, Peoples R China.

[Zhao, WeiDong; Tang, YiQian; Liu, Chang] Chengdu Univ, Coll Comp, Chengdu, Peoples R China.

[Luo, Cheng; Liu, Chang; Yao, DeZhong] Univ Elect Sci & Technol China, Key Lab Neuro Informat, Minist Educ,Sch Life Sci & Technol, Ctr Informat Bio Med,High Field Magnet Resonance, Chengdu, Peoples R China.

[Liu, XiaoJu] Sichuan Univ, West China Hosp, Dept Abdominal Oncol, Ctr Canc, Chengdu, Peoples R China.

[Jiang, Hong] Shanghai Jiao Tong Univ, Rui Jin Hosp, Dept Neurosurg, Sch Med, Shanghai, Peoples R China.

语种：

英文

关键词：

autism spectrum disorder;structural MRI;multi-site data;machine learning;searchlight technique

期刊：

Frontiers in Human Neuroscience

ISSN：

1662-5161

年：

2022

卷：

DOI：

10.3389/fnhum.2021.765517

基金类别：

China Postdoctoral Science Foundation [2016M592656]; Sichuan Science and Technology Program [2018JY0272]; Science & Technology Bureau of Chengdu [2020-YF09-00005-SN]; Erasmus+ SHYFTE Project [598649-EPP-1-2018-1-FR-EPPKA2-CBHE-JP]; Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province [MSSB-2021-12]

机构署名：

本校为第一机构

摘要：

Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder(ASD), definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls(TDC). To en...

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Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning

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