Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder-Reference-Cited by-同舟云学术

Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder

Published:2021-04-09 Issue:9 Volume:42 Page:2691-2705
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Cai Biao¹^ORCID,Zhang Gemeng¹,Zhang Aiying¹^ORCID,Xiao Li¹,Hu Wenxing¹,Stephen Julia M.²,Wilson Tony W.³^ORCID,Calhoun Vince D.⁴,Wang Yu‐Ping¹

Affiliation:

1. Biomedical Engineering Department Tulane University New Orleans Louisiana USA

2. The Mind Research Network Albuquerque New Mexico USA

3. Department of Neurological Sciences University of Nebraska Medical Center (UNMC) Omaha Nebraska USA

4. Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University Atlanta Georgia USA

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25394

Reference46 articles.

1. Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI

2. Tracking Whole-Brain Connectivity Dynamics in the Resting State

3. The quest for identifiability in human functional connectomes

4. Individual variability in functional connectivity predicts performance of a perceptual task

5. Functional connectivity in the motor cortex of resting human brain using echo-planar mri

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