on007763
BCCWJ-MEG
ANAT MEG
…Journal of Neuroscience Methods, 162(1–2), 8–13. https://doi.org…
- Participants
- 35
- Citations
- 74
- Size
- 166 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "affective neuroscience" · page 9 of 10 · ranked by relevance
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- 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.
- Participants
- 34
- Channels
- 224 (biosemi)
- Citations
- 138
- Size
- 36.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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.
- Participants
- 20
- Size
- 429 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004917
Probability Decision-making Task with ambiguity
ANAT DWI EEG FMAP FUNC…study supported by the Social Neuroscience and Neuromodulation Laboratory of Universidad del…
- Participants
- 53
- Channels
- 66 (10-10)
- Citations
- 17
- Size
- 37.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- 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…
- Participants
- 16
- Channels
- 63 (10-05)
- Citations
- 13
- HED
- v8.4.0
- Size
- 72.1 GB
- Version
- v1.0.7
- Updated
- Aug 18, 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.
- Participants
- 31
- Channels
- 64 (10-10)
- Size
- 5.23 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002761
memoryreplay
MEG…a sequenceness analysis step was omitted from the published 2020 Nature Neuroscience…
- Participants
- 25
- Citations
- 13
- Size
- 204 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004350
Executive Functionning Study for Assessing the Effect of Neurofeedback
EEG- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 50
- Size
- 26.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on000117
Multisubject, multimodal face processing
ANAT BEH DWI FMAP FUNC MEG…Frontiers in Neuroscience, Methods, 13, 300. Henson, R.N., Wakeman, D.G…
- Participants
- 17
- Citations
- 83
- Size
- 169 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on005307
Laser-evoked potentials in the human spinal cord and cortex
EEGThis dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.
- Participants
- 7
- Channels
- 72 (other)
- Size
- 18.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026