Title
Smooth graph learning for functional connectivity estimation
Abstract
•We propose a smooth graph learning framework for functional connectivity estimation.•Smooth graph functional connectivity provides a natural and sparse graph representation.•Improves connectome-based identification (fingerprinting).•Smooth graph functional connectivity predicts fluid intelligence.
Year
DOI
Venue
2021
10.1016/j.neuroimage.2021.118289
NeuroImage
Keywords
DocType
Volume
Functional connectivity,FMRI Fingerprinting,Reliability,Small-world
Journal
239
ISSN
Citations 
PageRank 
1053-8119
0
0.34
References 
Authors
19
4
Name
Order
Citations
PageRank
Siyuan Gao120.71
Xinyue Xia200.34
Dustin Scheinost300.34
Gal Mishne401.01