Estimation of the intrinsic dimensionality of fMRI data
- PMID: 16202626
- DOI: 10.1016/j.neuroimage.2005.07.054
Estimation of the intrinsic dimensionality of fMRI data
Abstract
A new method based on an autoregressive noise model of order 1 is introduced to the problem of detecting the number of components in fMRI data. Unlike current information-theoretic criteria like AIC, MDL, and related PPCA, which do not incorporate autocorrelations in the noise, the new method leads to more consistent estimates of the model order, as illustrated in simulated and real fMRI resting-state data.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
