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  Modes of cognition: Evidence from metastable brain dynamics

Capouskova, K., Kringelbach, M. L., & Deco, G. (2022). Modes of cognition: Evidence from metastable brain dynamics. NeuroImage, 260: 119489. doi:10.1016/j.neuroimage.2022.119489.

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 Creators:
Capouskova, Katerina1, Author
Kringelbach, Morten L.2, 3, Author
Deco, Gustavo1, 4, 5, 6, Author           
Affiliations:
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2University Pompeu Fabra, University of Oxford, United Kingdom, ou_persistent22              
3Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
5Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia, ou_persistent22              

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Free keywords: Brain states; Classification; DADA; Entropy; Functional connectivity; HCP data set; fMRI
 Abstract: Managing cognitive load depends on adequate resource allocation by the human brain through the engagement of metastable substates, which are large-scale functional networks that change over time. We employed a novel analysis method, deep autoencoder dynamical analysis (DADA), with 100 healthy adults selected from the Human Connectome Project (HCP) data set in rest and six cognitive tasks. The deep autoencoder of DADA described seven recurrent stochastic metastable substates from the functional connectome of BOLD phase coherence matrices. These substates were significantly differentiated in terms of their probability of appearance, time duration, and spatial attributes. We found that during different cognitive tasks, there was a higher probability of having more connected substates dominated by a high degree of connectivity in the thalamus. In addition, compared with those during tasks, resting brain dynamics have a lower level of predictability, indicating a more uniform distribution of metastability between substates, quantified by higher entropy. These novel findings provide empirical evidence for the philosophically motivated cognitive theory, suggesting on-line and off-line as two fundamentally distinct modes of cognition. On-line cognition refers to task-dependent engagement with the sensory input, while off-line cognition is a slower, environmentally detached mode engaged with decision and planning. Overall, the DADA framework provides a bridge between neuroscience and cognitive theory that can be further explored in the future.

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Language(s): eng - English
 Dates: 2022-07-122021-05-202022-07-152022-07-232022-10-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2022.119489
Other: online ahead of print
PMID: 35882268
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Project name : -
Grant ID : 945539, HBP SGA3
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : 615539
Funding program : -
Funding organization : European Research Council
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 260 Sequence Number: 119489 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166