ArticleFrontiers in psychiatry2021
Individualizing Representational Similarity Analysis.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
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- Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning.Communications psychology · 2026Article
- Perceptual and semantic maps in individual humans share structural features that predict creative abilities.Communications psychology · 2025Article
- A neurofunctional signature of subjective disgust generalizes to oral distaste and socio-moral contexts.Nature human behaviour · 2024Article
- Prediction error processing and sharpening of expected information across the face-processing hierarchy.Nature communications · 2024Article
- Family lexicon: Using language models to encode memories of personally familiar and famous people and places in the brain.PloS one · 2024Article
- Neurosteroids and translocator protein 18 kDa (TSPO) in depression: implications for synaptic plasticity, cognition, and treatment options.European archives of psychiatry and clinical neuroscience · 2023Review
- Probing patterns for prognostic potential.Translational psychiatry · 2022Article
- Altered amygdalar emotion space in borderline personality disorder normalizes following dialectical behaviour therapy.Journal of psychiatry & neuroscience : JPNArticle
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Representational similarity analysis (RSA) is a popular multivariate analysis technique in cognitive neuroscience that uses functional neuroimaging to investigate the informational content encoded in brain activity. As RSA is increasingly being used to investigate more clinically-geared questions, the focus of such translational studies turns toward the importance of individual differences and their optimization within the experimental design. In this perspective, we focus on two design aspects: applying individual vs. averaged behavioral dissimilarity matrices to multiple participants' neuroimaging data and ensuring the congruency between tasks when measuring behavioral and neural representational spaces. Incorporating these methods permits the detection of individual differences in representational spaces and yields a better-defined transfer of information from representational spaces onto multivoxel patterns. Such design adaptations are prerequisites for optimal translation of RSA to the field of precision psychiatry.
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Registered trials
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