Pooling all subjects’ data in one ICA avoids group-decomposition biases in resting-state fMRI.
Evidence
Our data analysis is different from other studies that have used resting-state fMRI to study tinnitus. Often the decomposition of the data into independent component is done by performing two (or more) separate ICA analyses on two (or more) groups (see e.g. Schmidt et al. 2013 ). This leads to a difficult interpretation since it is then unclear whether group differences represent (true) differences between subject groups, or whether the data-decomposition was slightly different (biases) for the two groups. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2749
Categorization
- SEED: Could form the methodological spine of an article on how fMRI analysis choices confound group comparisons.
- corroborated: 2 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 2749
- XREF: connects to: Pooled-group ICA removes decomposition bias between experimental groups — Dijk, Pim van, Physiology, Psychoacoustics and…, 2703
Broader Connections
- Pooled-group ICA removes decomposition bias between experimental groups
#corroborates(0.95) — Dijk, Pim van, Physiology, Psychoacoustics and…, 2703