Detecting variable responses in time-series using repeated measures ANOVA: Application to physiologic challenges.

ABSTRACT: We present an approach to analyzing physiologic timetrends recorded during a stimulus by comparing means at each time point using repeated measures analysis of variance (RMANOVA). The approach allows temporal patterns to be examined without an a priori model of expected timing or pattern of response. The approach was originally applied to signals recorded from functional magnetic resonance imaging (fMRI) volumes-of-interest (VOI) during a physiologic challenge, but we have used the same technique to analyze continuous recordings of other physiological signals such as heart rate, breathing rate, and pulse oximetry. For fMRI, the method serves as a complement to whole-brain voxel-based analyses, and is useful for detecting complex responses within pre-determined brain regions, or as a post-h

SUBMITTER: Macey PM 

PROVIDER: S-EPMC4995690 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature