Ontology highlight
ABSTRACT:
SUBMITTER: Pamilo S
PROVIDER: S-EPMC3408398 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Pamilo Siina S Malinen Sanna S Hlushchuk Yevhen Y Seppä Mika M Tikka Pia P Hari Riitta R
PloS one 20120730 7
Independent component analysis (ICA) can unravel functional brain networks from functional magnetic resonance imaging (fMRI) data. The number of the estimated components affects both the spatial pattern of the identified networks and their time-course estimates. Here group-ICA was applied at four dimensionalities (10, 20, 40, and 58 components) to fMRI data collected from 15 subjects who viewed a 15-min silent film ("At land" by Maya Deren). We focused on the dorsal attention network, the defaul ...[more]