| Title: |
Stimulus-specific information is represented as local activity patterns across the brain |
| Authors: |
Amirouche Sadoun; Tushar Chauhan; Samir Mameri; Yi Fan Zhang; Pascal Barone; Olivier Deguine; Kuzma Strelnikov |
| Source: |
NeuroImage, Vol 223, Iss , Pp 117326- (2020) |
| Publisher Information: |
Elsevier, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Neurosciences. Biological psychiatry. Neuropsychiatry |
| Subject Terms: |
fMRI; Cross-correlation; Patterns of brain activity; Free energy; Fusiform face area; Superior temporal gyrus; Neurosciences. Biological psychiatry. Neuropsychiatry; RC321-571 |
| Description: |
Modern neuroimaging represents three-dimensional brain activity, which varies across brain regions. It remains unknown whether activity of different brain regions has similar spatial organization to reflect similar cognitive processes. We developed a rotational cross-correlation method allowing a straightforward analysis of spatial activity patterns distributed across the brain in stimulation specific contrast images. Results of this method were verified using several statistical approaches on real and simulated random datasets. We found, for example, that the seed patterns in the fusiform face area were robustly correlated to brain regions involved in face-specific representations. These regions differed from the non-specific visual network meaning that activity structure in the brain is locally preserved in stimulus-specific regions. Our findings indicate spatially correlated perceptual representations in cerebral activity and suggest that the 3D coding of the processed information is organized using locally preserved activity patterns across the brain. More generally, our results demonstrate that information is represented and shared in the local spatial configurations of brain activity. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1095-9572 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S1053811920308120; https://doaj.org/toc/1095-9572 |
| DOI: |
10.1016/j.neuroimage.2020.117326 |
| Access URL: |
https://doaj.org/article/54784f3427ff4ecbbb321dc4c2b4e4f7 |
| Accession Number: |
edsdoj.54784f3427ff4ecbbb321dc4c2b4e4f7 |
| Database: |
Directory of Open Access Journals |