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Dynamic functional connectivity: Promise, issues, and interpretations
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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 (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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Network Analysis Reveals Increased Integration during Emotional and Motivational Processing
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Midazolam sedation increases fluctuation and synchrony of the resting brain BOLD signal
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Dynamic Properties of Functional Connectivity in the Rodent
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Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487
Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747
Network hubs in the human brain
van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123
Self-citationIntrinsic and task-evoked network architectures of the human brain
Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564
Sporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334
Self-citation
Metadata
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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