Stimulus Repetition and Sample Size Considerations in Item-Level Representational Similarity Analysis. Lang Cogn Neurosci 2024;39(9):1161-1172
Date
11/13/2024Pubmed ID
39525357Pubmed Central ID
PMC11544752DOI
10.1080/23273798.2023.2232903Scopus ID
2-s2.0-85164679149 (requires institutional sign-in at Scopus site) 7 CitationsAbstract
In studies using representational similarity analysis (RSA) of fMRI data, the reliability of the neural representational dissimilarity matrix (RDM) is a limiting factor in the ability to detect neural correlates of a model. A common strategy for boosting neural RDM reliability is to employ repeated presentations of the stimulus set across imaging runs or sessions. However, little is known about how the benefits of stimulus repetition are affected by repetition suppression, or how they compare with the benefits of increasing the number of participants. We examined the effects of these design parameters in two large data sets where participants performed a semantic decision task on visually presented words. We found that reliability gains from stimulus repetition were strongly affected by repetition suppression, both within and across scanning sessions separated by multiple weeks. The results provide new insights into these experimental design choices, particularly for item-level RSA studies of semantic cognition.
Author List
Mazurchuk S, Conant LL, Tong JQ, Binder JR, Fernandino LAuthors
Jeffrey R. Binder MD Professor in the Neurology department at Medical College of WisconsinLeonardo Fernandino PhD Associate Professor in the Neurology department at Medical College of Wisconsin
Jiaqing Tong PhD Postdoctoral Researcher 3 in the Neurology department at Medical College of Wisconsin
