Showing 10 of 581 datasets · page 17 of 59
This dataset comprises intracranial EEG recordings from 106 individuals performing an auditory-naming task, with electrode coordinates provided in MNI-305 space. It supports investigation of the dynamic causal network underlying auditory descriptive naming, as reported by Kanno et al. (2025). The dataset accompanies analysis code for tractography-based network analysis.
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.
This dataset comprises fMRI, EEG, ECG, and behavioural data from a study examining how Targeted Memory Reactivation (TMR) during REM sleep affects emotional reactivity to affective images. Participants rated arousal of affective image-sound pairs, with a subset of sounds cued during subsequent REM sleep, and their responses were assessed via heart rate deceleration, fMRI scanning, and follow-up ratings over multiple sessions. The study aims to elucidate mechanisms underlying memory-based depotentiation of emotional reactivity.
This dataset contains intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task with open-loop brain stimulation during encoding. Participants learned object locations through guided navigation and subsequently recalled them during self-navigation test phases. The study employed electrical stimulation of hippocampal and entorhinal cortex electrodes during learning trials, with stimulation parameters systematically varied across counterbalanced trial blocks to investigate the effects of targeted brain stimulation on spatial memory encoding. This dataset is an open-loop stimulation variant of the YC1 dataset (ds005522).
This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.
This dataset comprises electroencephalography (EEG) recordings from 23 participants during resting state (eyes closed and open) and active gameplay in a multiplayer online battle arena (MOBA) game. The study captures neural activity associated with gaming performance, including event markers for in-game actions such as kills, deaths, and match outcomes. Data were collected between April and July 2023 using a 64-channel Neuroscan system.
This dataset comprises intracranial EEG recordings and behavioral events from a paired-associates memory task incorporating open-loop electrical stimulation at either encoding or retrieval. Participants studied word pairs, performed an arithmetic distractor task, and completed cued recall, with stimulation applied to hippocampal or entorhinal cortex electrodes on a subset of lists. Data were collected across multiple clinical sites in collaboration with the University of Pennsylvania Computational Memory Lab, and represent an open-loop stimulation variant of the PAL1 dataset.
This dataset contains behavioral events and intracranial EEG recordings from a categorized free recall task with open-loop electrical stimulation applied during encoding. Participants studied semantically organized word lists, performed arithmetic distractor tasks, and then freely recalled the words. Stimulation was delivered to single electrodes in the hippocampus or entorhinal cortex during word encoding on a subset of trials, with data collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
This dataset contains intracranial EEG recordings and behavioral events from a delayed free recall task with open-loop electrical stimulation delivered during word encoding. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Stimulation was applied to single electrodes in the hippocampus or entorhinal cortex during alternating two-word blocks in a subset of study lists, enabling investigation of stimulation effects on memory encoding.
The PREDICT dataset comprises electroencephalography (EEG) recordings collected to investigate predictive markers related to pain and sensorimotor processing across multiple participants and sessions. It is intended to support research into individual variability in cortical responses, contributing to studies of pain chronification and neural predictors of clinical outcomes. This dataset is mirrored on NEMAR from an original OpenNeuro release.