ArticleLanguage, cognition and neuroscience2024
Stimulus Repetition and Sample Size Considerations in Item-Level Representational Similarity Analysis.
Article in Language, cognition and neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Concept-Level Semantic Representations Remain Decodable in Chronic Post-Stroke Aphasia.bioRxiv : the preprint server for biology · 2026Article
- Self-referential judgments from the same personality trait scales show increased representational similarity in mPFC.Communications psychology · 2025Article
- The neural representation of body part concepts.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
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5 authors.
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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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Registered trials
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