An EEG Dataset of Neural Signatures in a Competitive Two-Player Game Encouraging Deceptive Behavior
Chen Y. Fazli S. Wallraven C.
December 2024Nature Research
Scientific Data
2024#11Issue 1
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.
Text of the article Перейти на текст статьи
Department of Artificial Intelligence, Korea University, Seoul, 02841, South Korea
Department of Computer Science, Nazarbayev University, Astana, 010000, Kazakhstan
Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, South Korea
Department of Artificial Intelligence
Department of Computer Science
Department of Brain and Cognitive Engineering
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026