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Dynamic Functional Connectivity/Evidence
Method evidence record

Dynamic Functional Connectivity

Dynamic Functional Connectivity (dFC) is an analytical framework that tracks changes in functional connectivity between brain regions over time, rather than averaging connectivity across an entire scanning session. Systematized by Hutchison and colleagues in 2013, dFC reveals how brain networks reorganize moment-to-moment, providing insights into transient brain states and cognitive flexibility.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Dynamic Functional Connectivity (dFC)
Taxonomic method record · process-pipeline / neuroimaging
  • Hutchison, R. M., Womelsdorf, T., Allen, E. A., et al. (2013). Dynamic functional connectivity: promise, problems, and perspectives. NeuroImage, 80, 360–378. · URL
  • Calhoun, V. D., Miller, R., Pearlson, G., & Adalı, T. (2014). The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron, 84(2), 262–274. · DOI 10.1016/j.neuron.2014.10.015
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyGraph Brain Network Analysismachine-suggested · Relational suggestion, not evidence.See alsoIndependent Component Analysismachine-suggested · Relational suggestion, not evidence.Same method familyPhase-Locking Valuemachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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