Placebo Neuroepo multisession
Imported from OpenNeuro ds003195
- Participants
- 10
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- 19 (10-20)
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- 1
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- 121 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "affective neuroscience" · page 9 of 10 · ranked by relevance
Imported from OpenNeuro ds003195
…study supported by the Social Neuroscience and Neuromodulation Laboratory of Universidad del…
This dataset contains neuroimaging data from a study investigating the neural mechanisms of expectation and conflict processing. The research examines how the brain anticipates and responds to conflicting stimuli, with implications for understanding cognitive control and decision-making processes. Data were collected from multiple participants and are formatted according to BIDS standards.
This 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.
…Journal of Neuroscience Methods, 162(1–2), 8–13. https://doi.org…
…a sequenceness analysis step was omitted from the published 2020 Nature Neuroscience…
This 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.
…Frontiers in Neuroscience, 14, 566147. https://doi.org/10.3389/fnins.2020…
The 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.
…Yahya Shirazi, SCCN (Swartz Center for Computational Neuroscience), INC (Institute for Neural…