Depotentiation of emotional reactivity using TMR during REM sleep
…Heart rate deceleration was used as a measure of their autonomic arousal…
- Participants
- 18
- Channels
- 10 (10-20)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
73 results for "arousal" · page 1 of 8 · ranked by relevance
…Heart rate deceleration was used as a measure of their autonomic arousal…
…arousal_rera — respiratory effort-related arousal arousal_spontaneous — spontaneous cortical arousal arousal…
…eight emotions, arousal, valence, liking, and familiarity. The dataset is designed to…
…as defined by valence and arousal. Data were recorded over 3 sessions…
…as defined by valence and arousal. The music clips were generated using…
…as defined by valence and arousal (the first 20-s targeted state…
…on self-assessment scales-valence, arousal, dominance, liking, familiarity, relevance and emotion…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…control and arousal (under threat of unpredictable shock). ## Event labels 100 - 5…
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.