Structural Connectivity Modeling

Structural Connectivity Modeling is a computational framework that specifies the physical anatomical pathways and synaptic linkages between neuronal populations in a nervous system, distinguishing itself by representing the fixed, large-scale wiring architecture that constrains functional and dynamic interactions in neural circuits.

330

Publications

17.4K

Citations

1.7K

Authors

715

Institutions

Publications per year

2017–2026

193

Authors

1.7K

  1. GD
    Gustavo Deco

    Universitat Pompeu Fabra, Spain

    18 publications · 1.2K citations

    17

    h-index

  2. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    21 publications · 2.1K citations

    17

    h-index

  3. AR
    Anthony R. McIntosh

    Baycrest Hospital, Canada

    9 publications · 919 citations

    9

    h-index

  4. PR
    Petra Ritter

    Charité - Universitätsmedizin Berlin, Germany

    9 publications · 578 citations

    9

    h-index

  5. DS
    Danielle S. Bassett

    University of Pennsylvania, United States

    7 publications · 449 citations

    7

    h-index

1–5 of 1.7K

Venues

  1. NeuroImage

    44 publications · 2.5K citations

    28

    h-index

  2. Human Brain Mapping

    12 publications · 450 citations

    12

    h-index

  3. Brain Connectivity

    11 publications · 391 citations

    10

    h-index

  4. Network Neuroscience

    NetNeuro · 10 publications · 318 citations

    10

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 166 citations

    9

    h-index

1–5