Nonlinear functional network connectivity in resting functional magnetic resonance imaging data-Reference-Cited by-同舟云学术

Nonlinear functional network connectivity in resting functional magnetic resonance imaging data

Published:2022-06-28 Issue:15 Volume:43 Page:4556-4566
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Motlaghian Sara M.¹^ORCID,Belger Aysenil²,Bustillo Juan R.³,Ford Judith M.⁴⁵,Iraji Armin¹,Lim Kelvin⁶^ORCID,Mathalon Daniel H.⁴⁵,Mueller Bryon A.⁶,O'Leary Daniel⁷,Pearlson Godfrey⁸,Potkin Steven G.⁹,Preda Adrian⁹,van Erp Theo G. M.⁹,Calhoun Vince D.¹

Affiliation:

1. Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State, Georgia Tech, Emory Atlanta Georgia USA

2. Department of Psychiatry University of North Carolina Chapel Hill North Carolina USA

3. Department of Psychiatry University of New Mexico Albuquerque New Mexico USA

4. Department of Psychiatry University of California San Francisco San Francisco California USA

5. San Francisco VA Medical Center San Francisco California USA

6. Department of Psychiatry University of Minnesota Minneapolis Minnesota USA

7. Department of Psychiatry University of Iowa Iowa City Iowa USA

8. Department of Psychiatry and Neurobiology Yale School of Medicine New Haven Connecticut USA

9. Department of Psychiatry and Human Behavior University of California Irvine Irvine California USA

Funder

NIH Clinical Center

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.25972

Reference47 articles.

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

2. A Baseline for the Multivariate Comparison of Resting-State Networks

3. Graphs in Statistical Analysis

4. An Information-Maximization Approach to Blind Separation and Blind Deconvolution

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