Connectome-based Prediction

Connectome-Based Prediction is a computational framework that distinguishes itself by leveraging whole-brain connectivity patterns to model and predict individual phenotypic or behavioral traits from neuroimaging data.

226

Publications

16.1K

Citations

1.3K

Authors

515

Institutions

Publications per year

2017–2026

205

Authors

1.3K

  1. DS
    Dustin Scheinost

    Yale University, United States

    20 publications · 3.5K citations

    19

    h-index

  2. MD
    Monica D. Rosenberg

    University of Chicago, United States

    18 publications · 3.6K citations

    17

    h-index

  3. RT
    R. Todd Constable

    Yale University, United States

    14 publications · 2.9K citations

    14

    h-index

  4. MM
    Marvin M. Chun

    Yale University, United States

    9 publications · 2.3K citations

    9

    h-index

  5. BT
    B.T. Thomas Yeo

    National University of Singapore, Singapore

    8 publications · 877 citations

    8

    h-index

1–5 of 1.3K

Venues

  1. NeuroImage

    41 publications · 3.8K citations

    29

    h-index

  2. Human Brain Mapping

    19 publications · 801 citations

    17

    h-index

  3. Cerebral Cortex

    13 publications · 957 citations

    13

    h-index

  4. NeuroImage Clinical

    11 publications · 363 citations

    11

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 198 citations

    8

    h-index

1–5