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Patric Hagmann

Biographic Data

ID4164002
NAMEPatric Hagmann
GIVEN NAMESPatric
FAMILY NAMEHagmann
SIGNATUREHAGMANN P
AFFILIATIONSEcole polytechnique fédérale de Lausanne
ORCID0000-0002-2854-6561
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2013
H-INDEX1
  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

Biology (1 work) · Community structure (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Connectome (1 work) · Ecology (1 work) · Functional Brain Connectivity Studies (1 work) · Functional connectivity (1 work) · Human Connectome Project (1 work) · Neural dynamics and brain function (1 work)

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