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Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture
Open accessAbstract
Functional coupling across distributed brain regions varies across task contexts, yet there are stable features. To better understand the range and central tendencies of network configurations, coupling patterns were explored using functional MRI (fMRI) across 14 distinct continuously performed task states ranging from passive fixation to increasingly demanding classification tasks. Mean global correlation profiles across the cortex ranged from 0.69 to 0.82 between task states. Network configurations from both passive fixation and classification tasks similarly predicted task coactivation patterns estimated from meta-analysis of the literature. Thus, even across markedly different task states, central tendencies dominate the coupling configurations. Beyond these shared components, distinct task states displayed significant differences in coupling patterns in response to their varied demands. One possibility is that anatomical connectivity provides constraints that act as attractors pulling network configurations towards a limited number of robust states. Reconfigurable coupling modes emerge as significant modifications to a core functional architecture.
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“Together, these results suggest that a globally efficient, integrated network architecture supports fast, effective computation throughout the cognitive processing stream (Krienen et al., 2014), potentially through the facilitation of parallel processing mechanisms (Sigman and Dehaene, 2008).”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Krienen et al., 2014
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Metadata
- Authors
- Krienen, F. M., Yeo, B. T. T., & Buckner, R. L.
- Affiliations
- Harvard University (US)
- National University of Singapore (SG)
- Corresponding author
- Buckner, Randy L.
- Venue
- Philosophical Transactions of the Royal Society B Biological Sciences
- Publisher
- The Royal Society
- Published
- 2014-10-05
- Volume
- 369
- Issue
- 1653
- Pages
- 20130526
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC4150301
- OpenAlex
- W2061662249
- Cited by
- 372
- References
- 81
- Citations by year
- 2026: 21 · 2025: 22 · 2024: 33 · 2023: 33 · 2022: 37 · 2021: 41 · 2020: 34 · 2019: 41 · 2018: 34 · 2017: 27 · 2016: 26 · 2015: 17 · 2014: 5
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1s10rr019307-01, 1s10rr021110-01a1)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015896)
- National Center for Research Resources (S10RR023401)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- functional coupling, brain network reconfiguration, cortical functional connectivity, task state, classification tasks
- MeSH terms
- Adult, Brain, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Nerve Net, Perception, Physical Stimulation, Psychomotor Performance, Word Association Tests, Cluster Analysis, Linear Models, Connectome
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