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Dataset of long-term iEEG invasively recorded in epilepsy patients implanted with responsive neurostimulation system (RNS) ---------- We provided a long-term intracranial electroencephalography (iEEG) dataset of 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices. The dataset was constituted by iEEG data recorded from bilateral epileptic lesion areas. Each recording contains 90 seconds of dual-channel iEEG around each stimulation, 60 seconds before the start of the sti

Participants

8

Size

498 MB

Updated

Jun 6, 2026

Each trial began with a fixation dot presented for a jittered intertrial interval (ITI) between 600 and 1000 ms. The first memory screen (1000 ms) showed two objects on one lateral side that participants were instructed to memorize (indicated by a wedge cue), and two objects on the opposite side to balance visual input. Depending on the block condition, the to-be-memorized objects on the first screen could be studied (learned in the learning phase) or novel/unstudied. After a 1400 ms interstimul

Participants

41

Size

11.3 GB

Updated

Jun 6, 2026

Participants

3

Size

13.9 GB

Updated

Jun 6, 2026

This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson’s disease (PD) and age-matched healthy control subjects. All EEG data were recorded using standard clinical EEG systems at Neurology Clinic. Dataset Purpose: This dataset was originally used to evaluate whether resting-state EEG can help distinguish subjects who were later deceased from those who remained living (mortality classification). Only de-identified EEG data and mortality labels are includ

Participants

94

Size

1.74 GB

Updated

Jun 6, 2026

VR-CCT Dataset Compassion Island was a social world implemented in AltspaceVR by tecchnology collaborators Origami Air. It was specifically created for the study of VR-based augmentation of compassion cultivation training (CCT). It featured three main settings – a meditation hall, a garden courtyard with a large willow tree, and a clinic. During experimental sessions, participants interacted with two characters in these spaces, represented as

Participants

10

Size

919 MB

Updated

Jun 6, 2026

# BIDS-EEG Dataset: Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study **Authors: Hanane Ramzaoui, Melissa Beck** ## 1. Description: Project Overview We present an electrophysiological dataset recorded from fifty-three subjects performing a bilateral change-detection task to investigate how perceptual grouping, based on color repetition, influences Visual Working Memory (VWM) processing efficiency. The study is designed to temporally isolate and meas

Participants

53

Size

38.5 GB

Updated

Jun 6, 2026

This dataset accompanies the paper “Motor Control Processes Moderate Working Memory Gating,” published in The Journal of Neuroscience. It contains the raw EEG recordings (not preprocessed) from the study, as well as each participant’s behavioral data within the EEG dataset struct (labeled as EEG.behaviordata). Mean age of subjects is 23.7 (sd=2.9). For any of your inquiries, please reach out to the corresponding author: [email protected] You can find the explanation of triggers at"task-V

Participants

32

Size

52.8 GB

Updated

Jun 6, 2026

Neuroimaging Data Collected During Kinesthetic Motor Imagery of Walking vs. Rest ------------------------------------------------------------------------------- This dataset includes multimodal neuroimaging recordings from five participants performing kinesthetic motor imagery (KI) while viewing themselves walking in an exoskeleton. The recordings combine MRI (structural and functional) and EEG data, organized according to the BIDS specification. MRI sessions were conducted after participants c

Participants

5

Size

5.37 GB

Updated

Jun 6, 2026

EEG-Controlled Exoskeleton for Walking and Standing A Longitudinal Motor Imagery Study in Healthy Adults Dataset Overview This dataset contains multimodal recordings from a brain–machine interface (BMI) training study involving seven healthy adult participants (ages 20–30, Mean = 24.3, SD = 3.8). The study focused on open-loop and closed-loop control of a lower-limb exoskeleton (Rex Bionics) using EEG and inertial sensor data. Each participant completed nine sessions over several weeks, structu

Participants

7

Size

3.62 GB

Updated

Jun 2, 2026

# Dataset of Electroencephalograms of Juvenile Offenders ## Project's name Desarrollo de un sistema inteligente multiparamétrico para el reconocimiento de patrones asociados a disfunciones neurocognitivas en jóvenes en conflicto con la ley en el departamento del Atlántico. ## Year of project execution 2021 ## Authors and acknowledgment Aura Polo, Elmer León, Mariana Pino-Melgarejo and Julie Viloria-Porto. Ronald Ruiz for his assistance during the data collection process, and

Participants

140

Size

8.09 GB

Updated

Jun 6, 2026