Detection of neural activity in fMRI using maximum correlation modeling
2002 (English)In: NeuroImage, ISSN 1053-8119, E-ISSN 1095-9572, Vol. 15, no 2, 386-395 p.Article in journal (Refereed) Published
A technique for detecting neural activity in functional MRI data is introduced. It is based on a novel framework termed maximum correlation modeling. The method employs a spatial filtering approach that adapts to the local activity patterns, which results in an improved detection sensitivity combined with good specificity. A spatially varying hemodynamic response is simultaneously modelled by a sum of two gamma functions. Comparisons to traditional analysis methods are made using both synthetic and real data. The results indicate that the maximum correlation modeling approach is a strong alternative for analyzing fMRI data.
Place, publisher, year, edition, pages
2002. Vol. 15, no 2, 386-395 p.
National CategoryMedical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-27016DOI: 10.1006/nimg.2001.0972Local ID: 11658OAI: oai:DiVA.org:liu-27016DiVA: diva2:247567