Three distinct sets of connector hubs integrate human brain function
Open accessAbstract
Control over behavior is enabled by the brain's control networks, which interact with lower-level sensory motor and default networks to regulate their functions. Such interactions are facilitated by specialized "connector hub" regions that interconnect discrete networks. Previous work has treated hubs as a single category of brain regions, although their unitary nature is dubious when examined in individual brains. Here we investigated the nature of hubs by using fMRI to characterize individual-specific hub regions in two independent datasets. We identified three separable sets of connector hubs that integrate information between specific brain networks. These three hub categories occupy different positions within the brain's network structure; they affect networks differently when artificially lesioned, and they are differentially engaged during cognitive and motor task performance. This work suggests a model of brain organization in which different connector hubs integrate control functions and enable top-down control of separate processing streams.
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These convergence zones may serve as connector hubs that integrate information across DMN subnetworks.
“These convergence zones may serve as connector hubs 84,115 that integrate information across DMN subnetworks, thereby facilitating flexible and adaptive integration of self-referential, social, episodic memory, language, and semantic memory processes described in this review.”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [84]
The Results section (‘Connector Hubs Cluster into Three Discrete Categories’; page unavailable) identifies control-default connector hubs with strong connectivity to the DMN, FPN, and CAN. The Discussion (‘Different Hub Categories Integrate Different Aspects of Human Brain Function’; page unavailable) proposes that these hubs integrate information between control and processing systems, specifically linking the DMN and FPN. It does not establish that the cited hubs are the convergence zones in question or that they integrate information across DMN subnetworks. (LLM, conf=0.86)
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“These regions are argued to interact with the low-level processing systems and, by that interaction, enable flexible, top-down control over behavior that is dynamically modified according to the moment-tomoment demands of the environment (Posner and Petersen, 1990; Power and Petersen, 2013).”
Self-citationError and attack tolerance of complex networks
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Self-citationNetwork hubs in the human brain
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20 years of the default mode network: A review and synthesis.
Menon, V. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.023 · Cited by 934 · see citing works
“These convergence zones may serve as connector hubs 84,115 that integrate information across DMN subnetworks, thereby facilitating flexible and adaptive integration of self-referential, social, episodic memory, language, and semantic memory processes described in this review.”
BackgroundPrefrontal connectomics: From anatomy to human imaging
Haber, S. N., Liu, H., Seidlitz, J., & Bullmore, E. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01156-6 · Cited by 129 · see citing works
Dreszer, J., Grochowski, M., Lewandowska, M., Nikadon, J., Gorgol, J., Bałaj, B., Finc, K., Duch, W., Kałamała, P., Chuderski, A., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25162 · Cited by 23 · see citing works
- Authors
- Gordon, E. M., Lynch, C. J., Gratton, C., Laumann, T. O., Gilmore, A. W., Greene, D. J., Ortega, M., Nguyen, A. L., Schlaggar, B. L., Petersen, S. E., Dosenbach, N. U. F., & Nelson, S. M.
- Affiliations
- Baylor University (US)
- Georgetown University (US)
- Washington University in St. Louis (US)
- National Institutes of Health (US)
- Corresponding author
- Gordon, Evan M.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 24
- Issue
- 7
- Pages
- 1687-1695.e4
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC6886580
- OpenAlex
- W2885824833
- Cited by
- 149
- References
- 9
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 19 · 2023: 19 · 2022: 20 · 2021: 18 · 2020: 34 · 2019: 9 · 2018: 3
- FWCI
- 9.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Hope Center for Neurological Disorders
- McDonnell Center for Systems Neuroscience
- American Psychological Association
- Child Neurology Foundation
- James S. McDonnell Foundation
- Jacobs Foundation
- National Institutes of Health (MH104592, TR000448, NS088590)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- connector hubs, brain network integration, control network, default mode network, sensorimotor network, top-down control, cognitive task performance, motor task performance, brain organization
- MeSH terms
- Adult, Brain, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Connectome, Datasets as Topic
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