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.

897

Publications

79.6K

Citations

5.1K

Authors

1.4K

Institutions

Publications per year

2017–2026

467

Variants

Resting-state Functional Connectivity Analysis

Authors

5.1K

  1. VD
    Vince D. Calhoun

    Mind Research Network, United States

    17 publications · 2.7K citations

    14

    h-index

  2. DV
    Dimitri Van De Ville

    École Polytechnique Fédérale de Lausanne, Switzerland

    13 publications · 2.1K citations

    13

    h-index

  3. SM
    Stephen M. Smith

    University of Oxford, United Kingdom

    12 publications · 11.8K citations

    12

    h-index

  4. CF
    Christian F. Beckmann

    Radboud University Nijmegen, Netherlands

    11 publications · 10.2K citations

    11

    h-index

  5. BB
    Bharat B. Biswal

    New Jersey Institute of Technology, United States

    11 publications · 835 citations

    11

    h-index

1–5 of 5.1K

Venues

  1. NeuroImage

    136 publications · 23.4K citations

    74

    h-index

  2. PLoS ONE

    34 publications · 2.6K citations

    28

    h-index

  3. Human Brain Mapping

    25 publications · 2.7K citations

    22

    h-index

  4. Journal of Affective Disorders

    24 publications · 1.6K citations

    19

    h-index

  5. Brain Imaging and Behavior

    27 publications · 1.3K citations

    19

    h-index

1–5