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Network and Multilayer Network Approaches to Understanding Human Brain Dynamics

Bibliographic Data

ID10708310
AuthorsSarah F Muldoon (0000-0002-2830-9291), Danielle S Bassett (0000-0002-6183-4493)
Year2016
Volume83
Issue5
Pages710-720
Publication date2016-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/687857
OpenAlexW2442470680
LanguageEN
Citations received9
References cited55

Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales. We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects. We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this approach to model changing brain dynamics over time. We conclude by offering several concrete examples of how multilayer network approaches to neuroimaging data provide novel insights into brain structure and evolving function

Brain function · Brain Structure and Function · Cognition · Cognitive science · Complex network · Data science · Dynamics (music) · Machine learning · Network dynamics · Network science · Network structure · Neuroimaging · Artificial Intelligence · Computer Science · Functional Brain Connectivity Studies · Mathematics · Mental Health Research Topics · Neural dynamics and brain function · Neuroscience · Psychology

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    Open Access•Liangtian Wan, Mingyue Zhang et al.•IEEE Transactions on Computational…•2022

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Unique citing works9
Citations per year1.13
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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