Electrophysiological recordings from the auditory cortex of macaque monkeys, contributed by Kajikawa and Schroeder. The dataset is organized in BIDS format and mirrored on NEMAR from its original OpenNeuro deposit (ds007028).
Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.
A derivative dataset of intracranial EEG functional-connectivity networks computed for 148 epilepsy patients from the Hospital of the University of Pennsylvania and the Medical University of South Carolina. Networks cover two re-referencing schemes (common average and bipolar) crossed with 24 connectivity measures, computed on 2-minute interictal epochs. The dataset contains no time series and supports evaluating how re-referencing and connectivity choice affect the utility of iEEG networks.
The Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.
This dataset provides high-density (128-channel) EEG and mouse-tracking data from 31 adults aged 18-33, collected in 2020. It includes resting-state recordings and task recordings from food preference choices and semantic judgments. The resource is intended for studying the dynamic decision processes underlying binary choices in the human brain.
This dataset contains EEG and behavioral recordings from 120 healthy adults performing an emotion processing and regulation task with static images under sham and active transcranial direct current stimulation (tDCS) of the dorsolateral prefrontal cortex. Each participant completed two counterbalanced sessions. It includes preprocessed ERP derivatives and tDCS side-effect and blinding-effectiveness questionnaire data, and examines affective response evaluation in lonely individuals.
This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.
Multimodal dataset from a bi-focal, MRI-navigated TMS-EEG study of cortico-cortical paired associative stimulation (ccPAS) targeting left and right primary motor cortex (M1). Pulses were delivered with inter-hemispheric asynchronies of 4, 9, or 14 ms. Single-pulse TMS-EEG and resting-state EEG were recorded before and at 10 and 60 minutes after ccPAS to assess modulation of effective connectivity. Structural T1w MRI is provided for all subjects, with resting-state fMRI and HARDI diffusion imaging for some. Additional sessions stimulated left M1 or DLPFC at various intensities.
This dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.
Intraoperative single-unit microelectrode recordings from the substantia nigra and globus pallidus of neurosurgical patients undergoing deep brain stimulation surgery while playing a social ultimatum game. The dataset includes wideband microelectrode and macro-contact recordings from 24 participants across 33 sessions (67 runs, about 5.2 hours), with task synchronisation events. It supports investigation of how human midbrain and basal ganglia neurons encode social learning signals.