AI Article Synopsis
- The reliability of neural representational dissimilarity matrices (RDMs) in fMRI studies is crucial for identifying neural correlates, with repeated stimulus presentations often used to enhance this reliability.
- However, the advantages of stimulus repetition can be impacted by repetition suppression, which was explored in large studies where participants made semantic decisions about words.
- Findings indicate that while stimulus repetition does help with reliability, its effectiveness is significantly diminished by repetition suppression, providing important insights for designing RSA studies in semantic cognition.
Article Abstract
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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11544752 | PMC |
| http://dx.doi.org/10.1080/23273798.2023.2232903 | DOI Listing |
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