Functional magnetic resonance imaging (fMRI) is used to study brain functional connectivity (FC) after filtering the physiological noise (PN). Herein, we employ: adaptive filtering for removing nonstationary PN; random variables (RV) coefficient for FC analysis. Comparisons with standard techniques were performed by quantifying PN filtering and FC in neural vs. non-neural regions. As a result, adaptive filtering plus RV coefficient showed a greater suppression of PN and higher connectivity in neural regions, representing a novel effective approach to analyze fMRI data. © 2013 World Scientific Publishing Company.
|Titolo:||Adaptive filtering and random variables coefficient for analyzing functional magnetic resonance imaging data|
|Data di pubblicazione:||2013|
|Appare nelle tipologie:||1.1 Articolo in rivista|