EEG responses to disgust and sadness evoking IAPS images with ERP analysis and SVM classification

DOI

EEG data was recorded while 80 participants passively viewed 120 emotion eliciting IAPS images. We selected 20 disgust and 20 sadness eliciting images (validation experiment included) that were indistinguishable by SVM classification on their normative valence and arousal ratings (classification script included). We performed cluster based ERP analyses (script included) and single-trial SVM classification based on the whole scalp 1 second EEG patterns (script included).

Additional documentation and metadata can be found in the files Data Report.pdf, Metadata.pdf and Code Book.pdf.

Identifier
DOI https://doi.org/10.34894/5XDG5K
Related Identifier https://doi.org/10.1016/j.brainres.2022.148034
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/5XDG5K
Provenance
Creator Revers, Hans ORCID logo; Strijbosch, Wim ORCID logo; van Deun, Katrijn (ORCID: 0000-0002-2271-793X); Vroomen, Jean ORCID logo; Bastiaansen, Marcel ORCID logo
Publisher DataverseNL
Contributor Revers, Hans; DataverseNL
Publication Year 2021
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Revers, Hans (Tilburg University)
Representation
Resource Type Experimental data: EEG data, ratings of images, demographics of participants (age, gender, handedness); Dataset
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Version 2.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage The Netherlands