Discover datasets

MetaRDK is an intracranial EEG (SEEG) dataset collected from patients with pharmacologically intractable epilepsy performing a perceptual decision-making task involving a random dot motion discrimination and subsequent confidence rating. The dataset provides high-gamma power (70-150Hz) activity segmented per trial, along with behavioral data such as response times, confidence judgments, and changes of mind, aimed at elucidating the neural correlates of decision-making and metacognition, particularly in the pre-supplementary motor area and insula.

Participants

21

Citations

4

Size

15.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings from 108 individuals who performed a picture-naming task, with electrode coordinates provided in MNI-305 space. The data support investigations into the neural dynamics underlying language production, particularly the timing of facilitative and compensatory neural interactions during naming. The dataset was used in the analysis reported by Kochi et al. (2025).

Participants

108

Citations

1

Size

17.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains processed intracranial EEG (iEEG) recordings from frontal (LMFG, RMFG) and temporal (LMTG, RMTG) brain regions of 13 epilepsy patients performing a load-3 object working memory task. Data were collected to investigate neural mechanisms underlying working memory maintenance using intracranial electrophysiology. The dataset includes trial-level recordings after artifact rejection, along with behavioral performance data indicating task accuracy.

Participants

13

Citations

1

Size

286 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG (iEEG) recordings collected from patients undergoing clinical evaluation, used to investigate the spatial volatility of neural activity across brain regions. The data are shared to support research into cortical dynamics and epilepsy-related networks, and were collected under ethical approval from Wayne State University and Tohoku University institutional review boards.

Participants

166

Size

11.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 7 participants who underwent closed-loop stimulation targeting theta oscillations in hippocampal networks. The data support an investigation into how closed-loop control of theta rhythms modulates human hippocampal network connectivity, encompassing pre- and post-stimulation evoked potentials, resting-state periods, and stimulation epochs (closed-loop and control). Electrode locations are provided in MNI152 2009c asymmetrical template space.

Participants

7

Size

9.63 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG (ECoG) recordings from two subjects performing a visual fixation task involving high-contrast gratings and noise pattern stimuli. The data were collected to investigate stimulus-dependent gamma oscillations and the relationship between neuronal synchrony, BOLD responses, and local field potentials in human visual cortex. The dataset supports two published studies on visual cortical electrophysiology.

Participants

2

Citations

1

Size

637 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings from ten pediatric epilepsy patients undergoing intracranial monitoring for seizure localization, recorded while they performed a visuomotor task. Subjects completed five sessions of Speed Match, a finger-tapping visuomotor game on the Lumosity platform, during interictal periods. The dataset provides continuous iEEG signals along with trial timing information for finger tapping events, supporting research into visuomotor processing and cortical dynamics in epilepsy patients.

Participants

8

Size

818 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains invasive electrophysiological recordings from the human cervical spinal cord in patients with neuropathic pain who had epidural electrodes implanted for pain management. The study investigates whether temporal expectation, manipulated via variable versus fixed cue-to-stimulus intervals, influences initial sensory processing of median nerve stimulation at the level of the spinal cord. Eight patients performed a counting task while receiving auditory cues followed by single or double electric median nerve stimuli.

Participants

8

Size

722 MB

Updated

Aug 19, 2026

This dataset comprises stereoelectroencephalography (SEEG) resting state recordings acquired from two patients with epilepsy. The intracranial recordings were obtained using depth electrodes implanted for clinical evaluation purposes, providing insight into resting-state neural activity in epileptic patients.

Participants

2

Size

709 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a color change detection task, organized according to the Brain Imaging Data Structure (BIDS) standard. It is intended to support research on visual attention and perceptual change detection processes.

Participants

24

Size

13.8 GB

Version

v1.0.0

Updated

Aug 19, 2026