Exploratory fMRI analysis by autocorrelation maximization
2002 (English)In: NeuroImage, ISSN 1053-8119, E-ISSN 1095-9572, Vol. 16, no 2, 454-464 p.Article in journal (Refereed) Published
A novel and computationally efficient 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 relation to Principal Component Analysis and Independent Component Analysis is discussed and the performance of the methods is compared using both simulated and real data.
Place, publisher, year, edition, pages
2002. Vol. 16, no 2, 454-464 p.
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-24549DOI: 10.1006/nimg.2002.1067Local ID: 6709OAI: oai:DiVA.org:liu-24549DiVA: diva2:244870