Pooling data across groups in one ICA improves component estimation reliability

Evidence

In contrast, we adopted a strategy where the data is pooled over all participants and data-modalities (restingand fixed-state data). In this way, the data-decomposition is not determined in a potentially different way for both groups, leaving out the necessity of post-ICA matching of corresponding component maps. This allows for a better group-estimate of the components. In addition, by using a dual regression technique we can obtain subject-specific maps and perform group-wise analyses on these maps (Filippini et al. 2009 ). — Dijk, Pim van, Physiology, Psychoacoustics and…, 2750

Categorization

• XREF: Relates to the reader’s knowledge of neuroimaging methodology and dual regression techniques.