Functional Connectivity Modeling

Functional Connectivity Modeling is a computational framework that characterizes statistical dependencies and temporal correlations among neural activities across distinct brain regions to infer functionally relevant interactions within large-scale neural circuits.

1.4K

Publications

99K

Citations

5.7K

Authors

1.8K

Institutions

Publications per year

2017–2026

783

Authors

5.7K

  1. VD
    Vince D. Calhoun

    Mind Research Network, United States

    51 publications · 4.6K citations

    31

    h-index

  2. GD
    Gustavo Deco

    Universitat Pompeu Fabra, Spain

    39 publications · 4.1K citations

    28

    h-index

  3. KF
    Karl Friston

    University College London, United Kingdom

    26 publications · 4.1K citations

    23

    h-index

  4. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    22 publications · 2.3K citations

    18

    h-index

  5. LA
    Laura Astolfi

    Sapienza University of Rome, Italy

    20 publications · 1.7K citations

    18

    h-index

1–5 of 5.7K

Venues

  1. NeuroImage

    244 publications · 30.9K citations

    88

    h-index

  2. Human Brain Mapping

    73 publications · 6.5K citations

    35

    h-index

  3. Cerebral Cortex

    24 publications · 2.4K citations

    22

    h-index

  4. Frontiers in Neuroscience

    34 publications · 1.6K citations

    21

    h-index

  5. PLoS ONE

    28 publications · 1.7K citations

    21

    h-index

1–5