The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics-Reference-Cited by-同舟云学术

The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics

Published:2018-09-21 Issue:2 Volume:40 Page:489-504
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Long Qunfang¹^ORCID,Bhinge Suchita¹,Levin‐Schwartz Yuri²,Boukouvalas Zois³,Calhoun Vince D.⁴⁵,Adalı Tülay¹

Affiliation:

1. Department of CSEE University of Maryland Baltimore County Baltimore Maryland

2. Department of EMPH Icahn School of Medicine at Mount Sinai New York New York

3. Department of ENME University of Maryland College Park College Park Maryland

4. The Mind Research Network Albuquerque New Mexico

5. Department of ECE University of New Mexico Albuquerque New Mexico

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.24389

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