Multi-scale brain networks.

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TitleMulti-scale brain networks.
Publication TypeJournal Article
Year of Publication2017
AuthorsBetzel, RF, Bassett, DS
JournalNeuroimage
Volume160
Pagination73-83
Date Published2017 Oct 15
ISSN1095-9572
Abstract

The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over development and aging, and its alteration in disease or injury. Traditional tools and approaches to study this architecture have largely focused on single scales-of topology, time, and space. Expanding beyond this narrow view, we focus this review on pertinent questions and novel methodological advances for the multi-scale brain. We separate our exposition into content related to multi-scale topological structure, multi-scale temporal structure, and multi-scale spatial structure. In each case, we recount empirical evidence for such structures, survey network-based methodological approaches to reveal these structures, and outline current frontiers and open questions. Although predominantly peppered with examples from human neuroimaging, we hope that this account will offer an accessible guide to any neuroscientist aiming to measure, characterize, and understand the full richness of the brain's multiscale network structure-irrespective of species, imaging modality, or spatial resolution.

DOI10.1016/j.neuroimage.2016.11.006
Alternate JournalNeuroimage
PubMed ID27845257
PubMed Central IDPMC5695236
Grant ListR01 NS099348 / NS / NINDS NIH HHS / United States
R01 MH107235 / MH / NIMH NIH HHS / United States
R01 DC009209 / DC / NIDCD NIH HHS / United States
R21 MH106799 / MH / NIMH NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States
R01 MH107703 / MH / NIMH NIH HHS / United States