Task-evoked Network Analysis

Task-Evoked Network Analysis is a neuroimaging analytical approach within brain network analysis that characterizes dynamic reconfigurations of functional brain connectivity specifically elicited by the performance of a cognitive or sensory task, distinguished from resting-state or spontaneous network analyses by its dependence on task-related neural activity.

47

Publications

3.1K

Citations

308

Authors

150

Institutions

Publications per year

2017–2026

13

Authors

308

  1. TL
    Tiejun Liu

    University of Electronic Science and Technology of China, China

    2 publications · 150 citations

    2

    h-index

  2. GE
    Gene E. Alexander

    University of Arizona, United States

    2 publications · 56 citations

    2

    h-index

  3. TH
    Thalı́a Harmony

    Universidad Nacional Autónoma de México, Mexico

    2 publications · 295 citations

    2

    h-index

  4. HS
    Hyun Song

    University of Arizona, United States

    1 publications · 12 citations

    1

    h-index

  5. XS
    Xiaolong Shi

    Shanghai University of Traditional Chinese Medicine, China

    1 publications · 37 citations

    1

    h-index

1–5 of 308

Venues

  1. NeuroImage

    6 publications · 557 citations

    6

    h-index

  2. Neuropsychologia

    3 publications · 171 citations

    3

    h-index

  3. Brain Topography

    3 publications · 305 citations

    3

    h-index

  4. Behavioural Brain Research

    2 publications · 41 citations

    2

    h-index

  5. Clinical Neurophysiology

    2 publications · 66 citations

    2

    h-index

1–5