Canonical template tracking: Measuring the activation state of specific neural representations.
| Autor: | Palenciano AF; Mind, Brain, and Behavior Research Center, University of Granada, Granada, Spain., Senoussi M; CLLE Lab, CNRS UMR 5263, University of Toulouse, Toulouse, France.; Department of Experimental Psychology, Ghent University, Ghent, Belgium., Formica S; Department of Psychology, Berlin School of Mind and Brain, Humboldt Universität zu Berlin, Berlin, Germany., González-García C; Mind, Brain, and Behavior Research Center, University of Granada, Granada, Spain. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in neuroimaging [Front Neuroimaging] 2023 Jan 09; Vol. 1, pp. 974927. Date of Electronic Publication: 2023 Jan 09 (Print Publication: 2022). |
| DOI: | 10.3389/fnimg.2022.974927 |
| Abstrakt: | Multivariate analyses of neural data have become increasingly influential in cognitive neuroscience since they allow to address questions about the representational signatures of neurocognitive phenomena. Here, we describe Canonical Template Tracking: a multivariate approach that employs independent localizer tasks to assess the activation state of specific representations during the execution of cognitive paradigms. We illustrate the benefits of this methodology in characterizing the particular content and format of task-induced representations, comparing it with standard (cross-)decoding and representational similarity analyses. Then, we discuss relevant design decisions for experiments using this analysis approach, focusing on the nature of the localizer tasks from which the canonical templates are derived. We further provide a step-by-step tutorial of this method, stressing the relevant analysis choices for functional magnetic resonance imaging and magneto/electroencephalography data. Importantly, we point out the potential pitfalls linked to canonical template tracking implementation and interpretation of the results, together with recommendations to mitigate them. To conclude, we provide some examples from previous literature that highlight the potential of this analysis to address relevant theoretical questions in cognitive neuroscience. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Palenciano, Senoussi, Formica and González-García.) |
| Databáze: | MEDLINE |
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