Resting-state EEG before and after different study methods
…The RECAP-EEG dataset may contribute to research in cognitive neuroscience and…
- Participants
- 21
- Channels
- 31
- Size
- 1.32 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "affective neuroscience" · page 8 of 10 · ranked by relevance
…The RECAP-EEG dataset may contribute to research in cognitive neuroscience and…
…Frontiers in Human Neurosciences, In press. Contact Questions regarding the EEG data…
NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
This dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.
…Journal of Neuroscience Methods, 162(1–2), 8–13. https://doi.org…
This dataset comprises electroencephalography (EEG) recordings from 50 healthy control participants performing a reinforcement learning task under two mood conditions: sad mood manipulation (n=25) and neutral mood manipulation (n=25). The task included training and testing phases adapted from established reinforcement learning paradigms. Data were collected between 2019-2021 at the Cognitive Rhythms and Computation Lab at the University of New Mexico to investigate the effects of mood state on learning and decision-making processes.
An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
…Hermes, Nature Neuroscience, 2023, https://doi.org/10.1038/s41593-023-01272…