A canonical correlation approach to exploratory data analysis in fMRI
2002 (English)Conference paper (Other academic)
A computationally efficient data-driven method for exploratory analysis of functional MRI data is presented. The basic idea is to reveal underlying components in the fMRI data that have maximum autocorrelation. The tool for accomplishing this task is Canonical Correlation Analysis. The proposed method is more robust and much more computationally efficient than independent component analysis, which previously has been applied in fMRI.
Place, publisher, year, edition, pages
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-24523Local ID: 6655OAI: oai:DiVA.org:liu-24523DiVA: diva2:244844
ISMRM 10th Scientific Meeting & Exhibition, 18-24 May 2002, Honolulu, Hawai’i, USA