Show simple item record

dc.contributor.authorHarrison, SJ
dc.contributor.authorWoolrich, MW
dc.contributor.authorRobinson, EC
dc.contributor.authorGlasser, MF
dc.contributor.authorBeckmann, CF
dc.contributor.authorJenkinson, M
dc.contributor.authorSmith, SM
dc.date.accessioned2020-12-10T00:12:27Z
dc.date.available2020-12-10T00:12:27Z
dc.date.issued2015-04-01
dc.identifierpii: S1053-8119(15)00020-8
dc.identifier.citationHarrison, S. J., Woolrich, M. W., Robinson, E. C., Glasser, M. F., Beckmann, C. F., Jenkinson, M. & Smith, S. M. (2015). Large-scale Probabilistic Functional Modes from resting state fMRI. NEUROIMAGE, 109, pp.217-231. https://doi.org/10.1016/j.neuroimage.2015.01.013.
dc.identifier.issn1053-8119
dc.identifier.urihttp://hdl.handle.net/11343/253438
dc.description.abstractIt is well established that it is possible to observe spontaneous, highly structured, fluctuations in human brain activity from functional magnetic resonance imaging (fMRI) when the subject is 'at rest'. However, characterising this activity in an interpretable manner is still a very open problem. In this paper, we introduce a method for identifying modes of coherent activity from resting state fMRI (rfMRI) data. Our model characterises a mode as the outer product of a spatial map and a time course, constrained by the nature of both the between-subject variation and the effect of the haemodynamic response function. This is presented as a probabilistic generative model within a variational framework that allows Bayesian inference, even on voxelwise rfMRI data. Furthermore, using this approach it becomes possible to infer distinct extended modes that are correlated with each other in space and time, a property which we believe is neuroscientifically desirable. We assess the performance of our model on both simulated data and high quality rfMRI data from the Human Connectome Project, and contrast its properties with those of both spatial and temporal independent component analysis (ICA). We show that our method is able to stably infer sets of modes with complex spatio-temporal interactions and spatial differences between subjects.
dc.languageEnglish
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE
dc.titleLarge-scale Probabilistic Functional Modes from resting state fMRI
dc.typeJournal Article
dc.identifier.doi10.1016/j.neuroimage.2015.01.013
melbourne.affiliation.departmentCentre for Neuroscience
melbourne.source.titleNeuroImage
melbourne.source.volume109
melbourne.source.pages217-231
dc.rights.licenseCC BY
melbourne.elementsid1316362
melbourne.contributor.authorJenkinson, Mark
dc.identifier.eissn1095-9572
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record