Seed-based Correlation Analysis

Seed-Based Correlation Analysis is a functional neuroimaging method that computes the temporal correlation between the blood-oxygen-level-dependent (BOLD) signal time course of a predefined seed region and all other voxels in the brain to identify functionally connected networks.

175

Publications

14K

Citations

1.1K

Authors

435

Institutions

Publications per year

2017–2026

96

Variants

Seed-based Connectivity AnalysisSeed-based Functional Connectivity

Authors

1.1K

  1. AZ
    Abraham Z. Snyder

    Washington University in St. Louis, United States

    7 publications · 2.2K citations

    7

    h-index

  2. QG
    Qiyong Gong

    Sichuan University, China

    6 publications · 756 citations

    6

    h-index

  3. JS
    Joshua S. Shimony

    Washington University in St. Louis, United States

    4 publications · 968 citations

    4

    h-index

  4. PF
    Peter Fransson

    Karolinska Institutet, Sweden

    3 publications · 170 citations

    3

    h-index

  5. YC
    Yu‐Chen Chen

    Nanjing Medical University, China

    3 publications · 86 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. PLoS ONE

    11 publications · 586 citations

    11

    h-index

  2. Brain Connectivity

    9 publications · 998 citations

    9

    h-index

  3. NeuroImage

    9 publications · 592 citations

    9

    h-index

  4. Scientific Reports

    8 publications · 378 citations

    8

    h-index

  5. Human Brain Mapping

    6 publications · 446 citations

    6

    h-index

1–5