| Literature DB >> 30237036 |
Murat Demirtaş1, Adrian Ponce-Alvarez2, Matthieu Gilson2, Patric Hagmann3, Dante Mantini4, Viviana Betti5, Gian Luca Romani6, Karl Friston7, Maurizio Corbetta8, Gustavo Deco9.
Abstract
A fundamental question in systems neuroscience is how endogenous neuronal activity self-organizes during particular brain states. Recent neuroimaging studies have demonstrated systematic relationships between resting-state and task-induced functional connectivity (FC). In particular, continuous task studies, such as movie watching, speak to alterations in coupling among cortical regions and enhanced fluctuations in FC compared to the resting-state. This suggests that FC may reflect systematic and large-scale reorganization of functionally integrated responses while subjects are watching movies. In this study, we characterized fluctuations in FC during resting-state and movie-watching conditions. We found that the FC patterns induced systematically by movie-watching can be explained with a single principal component. These condition-specific FC fluctuations overlapped with inter-subject synchronization patterns in occipital and temporal brain regions. However, unlike inter-subject synchronization, condition-specific FC patterns were characterized by increased correlations within frontal brain regions and reduced correlations between frontal-parietal brain regions. We investigated these condition-specific functional variations as a shorter time scale, using time-resolved FC. The time-resolved FC showed condition-specificity over time; notably when subjects watched both the same and different movies. To explain self-organisation of global FC through the alterations in local dynamics, we used a large-scale computational model. We found that condition-specific reorganization of FC could be explained by local changes that engendered changes in FC among higher-order association regions, mainly in frontal and parietal cortices.Entities:
Mesh:
Year: 2018 PMID: 30237036 PMCID: PMC6248881 DOI: 10.1016/j.neuroimage.2018.09.042
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556