Abnormal amygdala functional connectivity and deep learning classification in multifrequency bands in autism spectrum disorder: A multisite functional magnetic resonance imaging study-Reference-Cited by-同舟云学术

Abnormal amygdala functional connectivity and deep learning classification in multifrequency bands in autism spectrum disorder: A multisite functional magnetic resonance imaging study

Published:2022-11-08 Issue:3 Volume:44 Page:1094-1104
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Ma Huibin¹,Cao Yikang¹,Li Mengting²³,Zhan Linlin⁴,Xie Zhou¹,Huang Lina⁵,Gao Yanyan²³,Jia Xize⁵^ORCID

Affiliation:

1. School of Information and Electronics Technology Jiamusi University Jiamusi China

2. College of Teacher Education Zhejiang Normal University Jinhua China

3. Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal University Jinhua China

4. Faculty of Western Languages Heilongjiang University Harbin China

5. Department of Radiology Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University Changshu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26141

Reference78 articles.

1. Insula and amygdala resting-state functional connectivity differentiate bipolar from unipolar depression

2. The amygdala theory of autism

3. A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

4. Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer’s disease

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