Related Experiment Video
Updated: Aug 15, 2026
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
Published on: October 20, 2023
Estimation of the intrinsic dimensionality of fMRI data
Dietmar Cordes1, Rajesh R Nandy
1Department of Radiology, University of Washington, 1959 Pacific Avenue, HSB AA048, Box #357115, Seattle, WA 98195, USA. dcordes@u.washington.edu
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.
