Cited by 1,334Functional Brain Connectivity StudiesComplex Network Analysis TechniquesAdvanced Neuroimaging Techniques and Applications

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Modular Brain Networks

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Sporns, Olaf, Betzel, Richard F.·2016·Annual Review of Psychology

DOI 10.1146/annurev-psych-122414-033634PMC PMC4782188

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Abstract

The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools. Methods for detecting modules, or network communities, are of particular interest because they uncover major building blocks or subnetworks that are particularly densely connected, often corresponding to specialized functional components. A large number of methods for community detection have become available and are now widely applied in network neuroscience. This article first surveys a number of these methods, with an emphasis on their advantages and shortcomings; then it summarizes major findings on the existence of modules in both structural and functional brain networks and briefly considers their potential functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics.

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Authors: Sporns, O., & Betzel, R. F.
Affiliations: Indiana University Bloomington (US)
ORCID: Sporns, Olaf
Betzel, Richard F.
Venue: Annual Review of Psychology
Publisher: Annual Reviews
Published: 2016-01-04
Volume: 67
Issue: 1
Pages: 613-640
ISSN: 0066-4308 (ISSN-L)
1545-2085
DOI: 10.1146/annurev-psych-122414-033634
PMC: PMC4782188
OpenAlex: W2143502460
Cited by: 1,334
References: 142
Citations by year: 2026: 102 · 2025: 147 · 2024: 138 · 2023: 133 · 2022: 137 · 2021: 145 · 2020: 135 · 2019: 113 · 2018: 129 · 2017: 93 · 2016: 53
FWCI: 9.31
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Annual Review of Psychology (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Science Foundation (0903495)
James S. McDonnell Foundation (#22002082)
National Institutes of Health
Division of Graduate Education
National Center for Complementary and Integrative Health (R01AT009036)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: brain networks, network modules, community detection, structural connectivity, functional connectivity, graph theory, network neuroscience, brain evolution, functional specialization, complex dynamics
MeSH terms: Brain, Brain Mapping, Humans, Nerve Net

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