Functional subdivision of group-ICA results of fMRI data collected during cinema viewing

• Published in: PloS one Vol. 7; no. 7; p. e42000
• Main Authors: Pamilo, Siina, Malinen, Sanna, Hlushchuk, Yevhen, Seppä, Mika, Tikka, Pia, Hari, Riitta
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.07.2012; Public Library of Science (PLoS)
• Subjects: Adult; Attention; Biology; Brain; Brain - physiology; Brain mapping; Brain research; Cognition & reasoning; Decomposition; Drama; Emotions; Engineering; Functional magnetic resonance imaging; Humans; Independent component analysis; Laboratories; Magnetic resonance; Magnetic Resonance Imaging; Medicine; Networks; Neuroimaging; NMR; Nuclear magnetic resonance; Reproducibility of Results; Science; Sensorimotor system; Social and Behavioral Sciences; Studies; Trends; Viewing; Finland

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 di...