ArticleSTAR protocols2022
Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- App-based mindfulness meditation training enhances cognitive flexibility and modulates ACC and medial frontal gyrus activation during task switching in adolescent OCD.Neuroimage. Reports · 2026Article
- Revealing the different levels of action monitoring in visuomotor transformation task: Evidence from decomposition of cortical potentials.Psychophysiology · 2025Article
- Neural representations of statistical and rule-based predictions in Gilles de la Tourette syndrome.Human brain mapping · 2024Article
- Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- On the Role of Stimulus-Response Context in Inhibitory Control in Alcohol Use Disorder.Journal of clinical medicine · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The electroencephalogram (EEG) is one of the most widely used techniques in cognitive neuroscience. We present a protocol showing how to combine a temporal signal decomposition approach (RIDE, Residue iteration decomposition) with multivariate pattern analysis (MVPA) to obtain insights into the temporal stability of representations coded in distinct informational fractions of the EEG signal. In this protocol, we describe pre-processing of human EEG data, followed by the set-up and use of MATLAB-based toolboxes for RIDE and MVPA analysis. For complete details on the use and execution of this protocol, please refer to Petruo et al. (2021).
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