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Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Participants

10

Size

508 GB

Version

v1.0.0

Updated

Jun 8, 2026

Participants

2

Size

1.87 GB

Version

v1.0.0

Updated

May 16, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.0 GB

Updated

Jun 10, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

103

Size

32.6 GB

Updated

Jun 10, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.8 GB

Updated

Jun 10, 2026

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 10, 2026

This dataset, used in the analysis reported by Kochi et al., (2025), contains intracranial EEG recordings from 110 individuals who performed an visual‑naming task. Electrode coordinates are provided in MNI‑305 space. Each EDF file is tagged for the visual naming task with the following event codes: 401 – stimulus onset 501 – response onset Reference: Ryuzaburo Kochi, Aya Kanno, Hiroshi Uda, Keisuke Hatano, Masaki Sonoda, Hidenori Endo, Michael Cools, Robert Rothermel, Aimee F. Luat, Ei

Participants

110

Size

17.5 GB

Updated

Jun 10, 2026

This dataset, used in the analysis reported by Kochi et al., (2025), contains intracranial EEG recordings from 121 individuals who performed an auditory‑naming task. Electrode coordinates are provided in MNI‑305 space. Each EDF file is tagged for the auditory naming task with the following event codes: 401 – stimulus onset 402 – stimulus offset 501 – response onset Reference: Ryuzaburo Kochi, Aya Kanno, Hiroshi Uda, Keisuke Hatano, Masaki Sonoda, Hidenori Endo, Michael Cools, Robert

Participants

121

Size

44.6 GB

Updated

Jun 10, 2026

Longitudinal Multitask Wireless ECoG Data from Two Fully Implanted Macaca fuscata — README ## Overview This repository contains a wireless subdural ECoG (iEEG) dataset from *Macaca fuscata* monkeys, organized in compliance with the iEEG-BIDS specification. Recordings were acquired several times each week using a wireless, inductively powered implant. The data were curated and organized in BIDS format to facilitate reproducible research in neuroscience. Keywords: wireless subdural ECoG, iEEG, M

Participants

2

Size

41.2 GB

Updated

Jun 10, 2026

In this dataset we included iEEG recordings of responses to 41 intracranial high frequency stimulations evoking negative motor responses, in 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy. The dataset contains 24 seconds of iEEG data around each stimulation, 9-10 seconds before the start of the stimulation, up to 5 seconds of intracranial stimulation and 9-10 seconds after the end of the stimulation. Each recording contains two 5 second epochs, pre-s

Participants

21

Size

1.04 GB

Updated

Jun 10, 2026