Electroencephalographic Connectivity Analysis

Electroencephalographic Connectivity Analysis is a methodological framework within neurophysiological signal processing that characterizes the functional and effective interdependencies among spatially distributed brain regions by analyzing the temporal correlations and causal interactions of electrical potentials recorded via electroencephalography during epileptic activity.

733

Publications

43.6K

Citations

3.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

353

Variants

Eeg Connectivity Analysis

Authors

3.4K

  1. CJ
    Cornelis J. Stam

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    22 publications · 1.6K citations

    20

    h-index

  2. FB
    Fabio Babiloni

    Sapienza University of Rome, Italy

    17 publications · 1.3K citations

    15

    h-index

  3. FB
    Fabrice Bartoloméi

    Inserm, France

    15 publications · 1.6K citations

    15

    h-index

  4. PM
    Paolo Maria Rossini

    Istituti di Ricovero e Cura a Carattere Scientifico, Italy

    15 publications · 1.2K citations

    15

    h-index

  5. LA
    Laura Astolfi

    Sapienza University of Rome, Italy

    16 publications · 1.2K citations

    15

    h-index

1–5 of 3.4K

Venues

  1. NeuroImage

    41 publications · 3.8K citations

    33

    h-index

  2. Clinical Neurophysiology

    47 publications · 5.1K citations

    32

    h-index

  3. PLoS ONE

    24 publications · 2.2K citations

    21

    h-index

  4. Frontiers in Human Neuroscience

    20 publications · 1.2K citations

    17

    h-index

  5. Scientific Reports

    19 publications · 815 citations

    17

    h-index

1–5