Levine, Seth M. and Schwarzbach, Jens V. (2021) Individualizing Representational Similarity Analysis. FRONTIERS IN PSYCHIATRY, 12: 729457. ISSN 1664-0640
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ATTENTIONAL BIAS; BRAIN; PATTERNS; EMOTION; CORTEX; FMRI; GEOMETRY; STIMULI; SPACE; TRAIT; fMRI; individual differences; multivariate pattern analysis; precision psychiatry; representational similarity analysis; task-based imaging |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 17 Aug 2022 11:48 |
| Last Modified: | 17 Aug 2022 11:48 |
| URI: | https://pred.uni-regensburg.de/id/eprint/46628 |
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