Intrinsic and task-evoked network architectures of the human brain
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Many functional network properties of the human brain have been identified during rest and task states, yet it remains unclear how the two relate. We identified a whole-brain network architecture present across dozens of task states that was highly similar to the resting-state network architecture. The most frequent functional connectivity strengths across tasks closely matched the strengths observed at rest, suggesting this is an "intrinsic," standard architecture of functional brain organization. Furthermore, a set of small but consistent changes common across tasks suggests the existence of a task-general network architecture distinguishing task states from rest. These results indicate the brain's functional network architecture during task performance is shaped primarily by an intrinsic network architecture that is also present during rest, and secondarily by evoked task-general and task-specific network changes. This establishes a strong relationship between resting-state functional connectivity and task-evoked functional connectivity-areas of neuroscientific inquiry typically considered separately.
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Functional connectivity patterns within and between major resting-state networks strongly predict interregional co-activation across tasks.
“Patterns of functional connectivity (FC) within and between the major RSNs are increasingly understood as intrinsic properties of brain function, given that they strongly predict patterns of interregional co-activation across different tasks (Cole et al., 2014; Smith et al., 2009)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Cole et al., 2014
The connectivity matrices are not dominated by simple coactivation during task blocks.
“To ensure that the connectivity matrices are not dominated by simple coactivation during the task blocks, we have regressed out the task activation using a general linear model (GLM), consistent with our prior work (23, 35, 47, 52).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [23]
The segregation of network modules observed in this data is much more pronounced than that observed in resting-state functional connectivity matrices.
“The segregation of network modules observed in this data is much more pronounced than that observed in resting-state functional connectivity matrices (23, 36, 37).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [23]
Momentary neural coalitions underlie complex cognitive functions, learning, and consciousness.
“the emergence of momentary neural coalitions forms the basis for complex cognitive functions (Bassett et al., 2015; Cole et al., 2014), learning (Bassett et al., 2011) and consciousness (Barttfeld et al., 2015; Godwin et al., 2015)”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Cole et al., 2014
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- Authors
- Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Pennsylvania (US)
- Washington University in St. Louis (US)
- Corresponding author
- Cole, Michael W.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 83
- Issue
- 1
- Pages
- 238-251
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4082806
- OpenAlex
- W2002627566
- Cited by
- 1,564
- References
- 67
- Citations by year
- 2026: 97 · 2025: 123 · 2024: 116 · 2023: 117 · 2022: 155 · 2021: 170 · 2020: 165 · 2019: 176 · 2018: 138 · 2017: 122 · 2016: 96 · 2015: 77 · 2014: 10 · 2013: 1
- FWCI
- 56.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Minnesota
- National Institutes of Health (5u54mh091657-05)
- National Institute of Mental Health (1U54 MH091657, U54-MH091657, K99MH096801, K99-R00 MH096801, R00MH096801)
- NIH Blueprint for Neuroscience Research
- 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
- resting-state functional connectivity, functional brain networks, task performance
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Psychomotor Performance, Rest, Young Adult
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