Dynamic functional connectivity: Promise, issues, and interpretations
Open accessAbstract
The brain must dynamically integrate, coordinate, and respond to internal and external stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI have greatly advanced our understanding of the large-scale functional organization supporting these fundamental features of brain function. Conclusions from previous resting-state fMRI investigations were based upon static descriptions of functional connectivity (FC), and only recently studies have begun to capitalize on the wealth of information contained within the temporal features of spontaneous BOLD FC. Emerging evidence suggests that dynamic FC metrics may index changes in macroscopic neural activity patterns underlying critical aspects of cognition and behavior, though limitations with regard to analysis and interpretation remain. Here, we review recent findings, methodological considerations, neural and behavioral correlates, and future directions in the emerging field of dynamic FC investigations.
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Endogenous fluctuations in cortical networks, which are rapid and highly non-stationary, could affect comprehension by altering the connectivity of these networks.
“Endogenous fluctuations in cortical networks, which are rapid and highly non-stationary (Hutchison et al., 2013), could affect comprehension by altering the connectivity of these networks.”
From Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension (2018) · cites this paper as Hutchison et al., 2013
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Shi, W., Tian, Y., Yang, H., Guo, H., Wen, B., Liu, Z., Zhang, Y., Han, S., & Cheng, J. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1529983 · Cited by 7 · see citing works
- Authors
- Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., Handwerker, D. A., Keilholz, S., Kiviniemi, V., Leopold, D. A., de Pasquale, F., Sporns, O., Walter, M., & Chang, C.
- Affiliations
- Western University (CA)
- York University (CA)
- Mind Research Network (US)
- National Institutes of Health (US)
- Washington University in St. Louis (US)
- Stanford Medicine (US)
- Georgia Institute of Technology (US)
- Oulu University Hospital (FI)
- Indiana University Bloomington (US)
- Center for Behavioral Brain Sciences (DE)
- Corresponding author
- Hutchison, R. Matthew
- Chang, Catie
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 360-378
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3807588
- OpenAlex
- W1976623182
- Cited by
- 2,962
- References
- 247
- Citations by year
- 2026: 233 · 2025: 283 · 2024: 272 · 2023: 251 · 2022: 265 · 2021: 282 · 2020: 278 · 2019: 233 · 2018: 227 · 2017: 213 · 2016: 192 · 2015: 120 · 2014: 90 · 2013: 18
- FWCI
- 75.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, other-oa)
- Funders
- Canadian Institute of Health Research
- Intramural Research Program of the National Institute of Neurological Disorders and Stroke, National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- dynamic functional connectivity, resting-state fMRI, temporal dynamics of brain activity, large-scale brain organization, neural correlates of cognition, behavioral correlates, methodological considerations
- MeSH terms
- Animals, Blood Flow Velocity, Brain, Cerebrovascular Circulation, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Models, Anatomic, Models, Neurological, Nerve Net, Synaptic Transmission, Connectome
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