Attention Network Imaging

Attention Network Imaging is a functional neuroimaging framework that characterizes the spatial and temporal dynamics of brain networks underlying attentional processes by integrating task-based activation patterns with resting-state connectivity analyses.

162

Publications

13.9K

Citations

895

Authors

403

Institutions

Publications per year

2017–2026

75

Authors

895

  1. JF
    Jin Fan

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 499 citations

    4

    h-index

  2. KS
    Karsten Specht

    University of Bergen, Norway

    4 publications · 568 citations

    4

    h-index

  3. BH
    Beate Herpertz‐Dahlmann

    RWTH Aachen University, Germany

    3 publications · 716 citations

    3

    h-index

  4. SK
    Scott K. Holland

    Cincinnati Children's Hospital Medical Center, United States

    3 publications · 354 citations

    3

    h-index

  5. KK
    Kerstin Konrad

    RWTH Aachen University, Germany

    3 publications · 716 citations

    3

    h-index

1–5 of 895

Venues

  1. NeuroImage

    14 publications · 2K citations

    14

    h-index

  2. Neuropsychologia

    7 publications · 1K citations

    7

    h-index

  3. PLoS ONE

    6 publications · 386 citations

    6

    h-index

  4. Computers in Biology and Medicine

    3 publications · 82 citations

    4

    h-index

  5. Human Brain Mapping

    3 publications · 229 citations

    4

    h-index

1–5