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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Published inProceedings of the National Academy of Sciences - PNAS Vol. 112; no. 28; pp. 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 Journal Article
LanguageEnglish
Published United States National Academy of Sciences 14.07.2015
National Acad Sciences
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
cognitive states
fMRI
functional connectivity states
connectivity dynamics
classification
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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.
Bibliography:http://dx.doi.org/10.1073/pnas.1501242112
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1J.G.-C. and C.W.H. contributed equally to this work.
Author contributions: J.G.-C., C.W.H., D.A.H., M.E.R., and P.A.B. designed research; J.G.-C., C.W.H., M.E.R., and L.C.B. performed research; Z.S.S. contributed new reagents/analytic tools; J.G.-C., C.W.H., D.A.H., M.E.R., and L.C.B. analyzed data; and J.G.-C., C.W.H., D.A.H., Z.S.S., and P.A.B. wrote the paper.
Edited by Russell A. Poldrack, University of Texas at Austin, Austin, TX, and accepted by the Editorial Board June 1, 2015 (received for review January 21, 2015)
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.1501242112