Abstract:
:Functional magnetic resonance imaging provides rich spatio-temporal data of human brain activity during task and rest. Many recent efforts have focussed on characterising dynamics of brain activity. One notable instance is co-activation pattern (CAP) analysis, a frame-wise analytical approach that disentangles the different functional brain networks interacting with a user-defined seed region. While promising applications in various clinical settings have been demonstrated, there is not yet any centralised, publicly accessible resource to facilitate the deployment of the technique. Here, we release a working version of TbCAPs, a new toolbox for CAP analysis, which includes all steps of the analytical pipeline, introduces new methodological developments that build on already existing concepts, and enables a facilitated inspection of CAPs and resulting metrics of brain dynamics. The toolbox is available on a public academic repository at https://c4science.ch/source/CAP_Toolbox.git. In addition, to illustrate the feasibility and usefulness of our pipeline, we describe an application to the study of human cognition. CAPs are constructed from resting-state fMRI using as seed the right dorsolateral prefrontal cortex, and, in a separate sample, we successfully predict a behavioural measure of continuous attentional performance from the metrics of CAP dynamics (R = 0.59).
journal_name
Neuroimagejournal_title
NeuroImageauthors
Bolton TAW,Tuleasca C,Wotruba D,Rey G,Dhanis H,Gauthier B,Delavari F,Morgenroth E,Gaviria J,Blondiaux E,Smigielski L,Van De Ville Ddoi
10.1016/j.neuroimage.2020.116621subject
Has Abstractpub_date
2020-05-01 00:00:00pages
116621eissn
1053-8119issn
1095-9572pii
S1053-8119(20)30108-7journal_volume
211pub_type
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