An EEG Dataset of Neural Signatures in a Competitive Two-Player Game Encouraging Deceptive Behavior.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
16 Apr 2024
16 Apr 2024
Historique:
received:
07
12
2023
accepted:
05
04
2024
medline:
18
4
2024
pubmed:
17
4
2024
entrez:
16
4
2024
Statut:
epublish
Résumé
Studying deception is vital for understanding decision-making and social dynamics. Recent EEG research has deepened insights into the brain mechanisms behind deception. Standard methods in this field often rely on memory, are vulnerable to countermeasures, yield false positives, and lack real-world relevance. Here, we present a comprehensive dataset from an EEG-monitored competitive, two-player card game designed to elicit authentic deception behavior. Our extensive dataset contains EEG data from 12 pairs (N = 24 participants with role switching), controlled for age, gender, and risk-taking, with detailed labels and annotations. The dataset combines standard event-related potential and microstate analyses with state-of-the-art decoding approaches of four scenarios: spontaneous/instructed truth-telling and lying. This demonstrates game-based methods' efficacy in studying deception and sets a benchmark for future research. Overall, our dataset represents a unique resource with applications in cognitive neuroscience and related fields for studying deception, competitive behavior, decision-making, inter-brain synchrony, and benchmarking of decoding frameworks in a difficult, high-level cognitive task.
Identifiants
pubmed: 38627400
doi: 10.1038/s41597-024-03234-y
pii: 10.1038/s41597-024-03234-y
pmc: PMC11021485
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
389Subventions
Organisme : National Research Foundation of Korea (NRF)
ID : BK21 FOUR, NRF-2022R1A2C2092118, NRF-2022R1H1A2092007, NRF-2019R1A2C2007612,
Informations de copyright
© 2024. The Author(s).
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