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Instantaneous brain dynamics mapped to a continuous state space
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SYSNO ASEP 0545818 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Instantaneous brain dynamics mapped to a continuous state space Author(s) Billings, Jacob (UIVT-O) SAI, ORCID, RID
Medda, A. (US)
Shakil, S. (US)
Shen, X. (US)
Kashyap, A. (US)
Chen, S. (US)
Abbas, A. (US)
Zhang, X. (US)
Nezafati, M. (US)
Pan, W.J. (US)
Berman, G.J. (US)
Keilholz, S. (US)Number of authors 12 Source Title Neuroimage. - : Elsevier - ISSN 1053-8119
Roč. 162 (2017), s. 344-352Language eng - English Country US - United States Keywords functional connectivity ; fmri data ; frequency ; networks ; cortex ; phase ; fMRI ; Connectivity dynamics ; Functional connectivity ; Multiscale systems ; Dimensionality reduction UT WOS 000416502800030 EID SCOPUS 85029492689 DOI 10.1016/j.neuroimage.2017.08.042 Annotation Measures of whole-brain activity, from techniques such as functional Magnetic Resonance Imaging, provide a means to observe the brain's dynamical operations. However, interpretation of whole-brain dynamics has been stymied by the inherently high-dimensional structure of brain activity. The present research addresses this challenge through a series of scale transformations in the spectral, spatial, and relational domains. Instantaneous multispectral dynamics are first developed from input data via a wavelet filter bank. Voxel-level signals are then projected onto a representative set of spatially independent components. The correlation distance over the instantaneous wavelet-ICA state vectors is a graph that may be embedded onto a lower-dimensional space to assist the interpretation of state-space dynamics. Applying this procedure to a large sample of resting-state and task-active data (acquired through the Human Connectome Project), we segment the empirical state space into a continuum of stimulus-dependent brain states. Upon observing the local neighborhood of brain-states adopted subsequent to each stimulus, we may conclude that resting brain activity includes brain states that are, at times, similar to those adopted during tasks, but that are at other times distinct from task-active brain states. As task-active brain states often populate a local neighborhood, back-projection of segments of the dynamical state space onto the brain's surface reveals the patterns of brain activity that support many experimentally-defined states. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2022
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