Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity
Bibliographic Data
| ID | 6161556 |
|---|---|
| Authors | Richard F Betzel (0000-0001-9200-1681, Indiana University Bloomington), Alessandra Griffa (0000-0003-1923-1653, Ecole polytechnique fédérale de Lausanne), Andrea Avena‐koenigsberger (0000-0003-2423-9801, Indiana University Bloomington), ANDREA AVENA-KOENIGSBERGER, Joaquín Goñi (0000-0003-3705-1955, Indiana University Bloomington), Jean‐philippe Thiran (0000-0003-2938-9657, Ecole polytechnique fédérale de Lausanne), JEAN-PHILIPPE THIRAN, Patric Hagmann (0000-0002-2854-6561, Ecole polytechnique fédérale de Lausanne), Olaf Sporns (0000-0001-7265-4036, Indiana University Bloomington) |
| Year | 2013 |
| Volume | 1 |
| Issue | 3 |
| Pages | 353-373 |
| Publication date | 2013-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2013.19 |
| OpenAlex | W1964757651 |
| Language | EN |
| Citations received | 1 |
| References cited | 63 |
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 communities in terms of a Markov process (random walk), to infer the connectome's multi-scale community structure. Comparing the community structure to observed resting-state functional connectivity revealed communities across a broad range of scales that were closely related to functional connectivity. This result suggests a mapping between communities in structural networks, models of influence-spreading and diffusion, and brain function. It further suggests that the spread of influence among brain regions may not be limited to a single characteristic scale
Biology · Community structure · Connectome · Functional connectivity · Human Connectome Project · Resting state fMRI · Complex Network Analysis Techniques · Computer Science · Functional Brain Connectivity Studies · Neural dynamics and brain function · Neuroscience · Psychology · Ecology
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Diameter of the World-Wide Web
Statistical mechanics of community detection
Resolution limit in community detection
Community detection in graphs
Finding and evaluating community structure in networks
Complex brain networks
Functional connectivity in the resting brain
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
Community structure in social and biological networks
Fast unfolding of communities in large networks
Modularity and community structure in networks
Structural Cohesion and Embeddedness
| Citations per year | 0.1 |
|---|---|
| Citation span | 2016 - 2016 (1) |
| Highly cited | No |