on003195
Placebo Neuroepo multisession
EEG
Imported from OpenNeuro ds003195
- Citations
- 1
- Size
- 121 MB
- Updated
- May 23, 2026
Discover datasets
100 results for "affective neuroscience" · page 9 of 10 · ranked by relevance
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- nm000329
Brandl et al. 2020 — Motor Imagery Under Distraction: An Open Access BCI Dataset
EEG…Frontiers in Neuroscience, 14, 566147. https://doi.org/10.3389/fnins.2020…
- Citations
- 12
- Size
- 61.6 GB
- Updated
- Jun 3, 2026
- on003004
Imagined Emotion Study
EEGThis high-density EEG dataset captures brain activity during guided emotional imagery across 15 distinct emotion states. Participants listened to voice-guided scenarios designed to evoke emotions with varying valence (positive and negative) while their neural activity was recorded with eyes closed. The dataset includes preprocessed EEG data with artifact correction and high-pass filtering, providing a resource for investigating neural correlates of emotion imagination and brain state dynamics during emotional experiences.
- Size
- 36.0 GB
- Updated
- Jun 21, 2026
- ds001784
EMOTE-afMSIT
T1W BEH CHANNELS…Before each MSIT trial, an image selected from the International Affective Picture…
- Participants
- 14
- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNCThis multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
- Citations
- 62
- Size
- 423 GB
- Updated
- Jun 21, 2026
- nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
- Size
- 5.23 GB
- Updated
- Jun 18, 2026
- ds004212
THINGS-MEG
MEG MRI…and the advancement of cognitive neuroscience. # Dataset overview We collected extensively sampled…
- Participants
- 4
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG…Yahya Shirazi, SCCN (Swartz Center for Computational Neuroscience), INC (Institute for Neural…
- Size
- 34.3 GB
- Updated
- May 16, 2026
- on004350
Executive Functionning Study for Assessing the Effect of Neurofeedback
EEG- Citations
- 1
- Size
- 26.4 GB
- Updated
- Jun 1, 2026
- ds004860
Investigating the cognitive conflict triggered by moral judgment of accidental harm : an event-related potentials study
EEG- Participants
- 31