Resting-state Network Analysis
Resting-State Network Analysis is a neuroimaging methodology that identifies functionally connected brain networks during unconstrained wakeful rest by analyzing spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals, distinguished from task-based approaches by its focus on intrinsic neural activity in the absence of explicit stimuli or behavioral instructions.
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2017–2026
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Resting-state Functional Connectivity Analysis
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A Baseline for the Multivariate Comparison of Resting-State Networks
Elena A. Allen, Erik B. Erhardt, Eswar Damaraju et al. · Frontiers in Systems Neuroscience · 2011 · 1.4K citations · Full text
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École Polytechnique Fédérale de Lausanne, Switzerland
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University of Electronic Science and Technology of China
Chengdu, China
27 h-index
183 publications
13.8K citations
Harvard University
Cambridge, United States
25 h-index
117 publications
9.5K citations

Beijing Normal University
Beijing, China
23 h-index
74 publications
7.3K citations
University of Oxford
Oxford, United Kingdom
22 h-index
62 publications
58.8K citations

Chinese Academy of Sciences
Beijing, China
22 h-index
60 publications
8.5K citations

Central South University
Changsha, China
21 h-index
133 publications
14.5K citations
University of Geneva
Geneva, Switzerland
20 h-index
77 publications
9.7K citations
Yale University
New Haven, United States
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69 publications
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