Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns

Functional connectivity (FC) patterns in functional MRI exhibit dynamic behavior on the scale of seconds, with rich spatiotemporal structure and limited sets of whole-brain, quasi-stable FC configurations (FC states) recurring across time and subjects. Based on previous evidence linking various aspe...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2015-07, Vol.112 (28), p.8762-8767
Main Authors: Gonzalez-Castillo, Javier, Hoy, Colin W., Handwerker, Daniel A., Robinson, Meghan E., Buchanan, Laura C., Saad, Ziad S., Bandettini, Peter A.
Format: Article
Language:English
Subjects:
Accuracy
Behavior
Biological Sciences
Brain
Brain - physiology
classification
Cognition
Cognition & reasoning
cognitive states
connectivity dynamics
fMRI
functional connectivity states
Humans
Information processing
Magnetic Resonance Imaging
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Summary:Functional connectivity (FC) patterns in functional MRI exhibit dynamic behavior on the scale of seconds, with rich spatiotemporal structure and limited sets of whole-brain, quasi-stable FC configurations (FC states) recurring across time and subjects. Based on previous evidence linking various aspects of cognition to group-level, minute-to-minute FC changes in localized connections, we hypothesized that whole-brain FC states may reflect the global, orchestrated dynamics of cognitive processing on the scale of seconds. To test this hypothesis, subjects were continuously scanned as they engaged in and transitioned between mental states dictated by tasks. FC states computed within windows as short as 22.5 s permitted robust tracking of cognition in single subjects with near perfect accuracy. Accuracy dropped markedly for subjects with the lowest task performance. Spatially restricting FC information decreased accuracy at short time scales, emphasizing the distributed nature of whole-brain FC dynamics, beyond univariate magnitude changes, as valuable markers of cognition.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1501242112