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Cited by 2,398Functional Brain Connectivity StudiesNeural dynamics and brain functionComplex Network Analysis Techniques

Network neuroscience

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Bassett, Danielle S, Sporns, Olaf·2017·Nature Neuroscience
DOI 10.1038/nn.4502PMC PMC5485642
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Abstract

Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We review emerging trends in network neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.

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  • The study of the brain as a network has become increasingly popular in neuroscience and neuroimaging, giving rise to connectomics and network neuroscience.

    “Over the last two decades, the study of the brain as a network has become increasingly popular in the neuroscience and neuroimaging communities, giving rise to the new fields of connectomics and network neuroscience (Bassett and Sporns, 2017; Fornito et al., 2013; 2015; 2016).”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Bassett and Sporns, 2017

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Sorted by citations

Authors
Bassett, D. S., & Sporns, O.
Affiliations
  • University of Pennsylvania (US)
  • Indiana University Bloomington (US)
Corresponding author
Sporns, Olaf
ORCID
Venue
Nature Neuroscience
Publisher
Springer Science and Business Media LLC
Published
2017-02-23
Volume
20
Issue
3
Pages
353-364
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
DOI
10.1038/nn.4502
PMC
PMC5485642
OpenAlex
W4211091012
Cited by
2,398
References
24
Citations by year
2026: 326 · 2025: 350 · 2024: 260 · 2023: 263 · 2022: 308 · 2021: 288 · 2020: 242 · 2019: 159 · 2018: 148 · 2017: 52 · 2016: 1
FWCI
18.38
Type
journal article
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5r01ns099348-04, 5r01hd086888-04)
  • National Institute on Aging (P30AG010133)
  • National Institute of Mental Health (R21MH106799)
  • National Institute of Neurological Disorders and Stroke ((R01 NS099348)
  • National Center for Complementary and Integrative Health (R01AT009036)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD086888)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
network neuroscience, brain networks, network dynamics, network manipulation, network science, brain function, cognition, network mapping, spatiotemporal integration
MeSH terms
Animals, Brain, Cognition, Humans, Models, Neurological, Nerve Net, Neural Pathways, Neurosciences

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