| Literature DB >> 34998971 |
Liandong Lin1, Da Chang2, Donghui Song2, Yiran Li3, Ze Wang4.
Abstract
Brain entropy (BEN) calculated from resting state fMRI has been the subject of increasing research interest in recent years. Previous studies have shown the correlations between rest BEN and neurocognition and task performance, but how this relates to task-evoked brain activations and deactivations remains unknown. The purpose of this study is to address this open question using large data (n = 862). Voxel wise correlations were calculated between rest BEN and task activations/deactivations of five different tasks. For most of the assessed tasks, lower rest BEN was found to be associated with stronger activations (negative correlations) and stronger deactivations (positive correlations) only in brain regions activated or deactivated by the tasks. Higher workload evoked spatially more extended negative correlations between rest BEN and task activations. These results not only confirm that resting brain activity can predict brain activity during task performance but also for the first time show that resting brain activity may facilitate both task activations and deactivations. In addition, the results provide a clue to understanding the individual differences of task performance and brain activations.Entities:
Keywords: BENtbx; Entropy; Resting state fMRI; Task; Task activation; Task deactivation; fMRI
Mesh:
Year: 2022 PMID: 34998971 PMCID: PMC8881863 DOI: 10.1016/j.neuroimage.2022.118875
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556