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**Title:** Transcranial Alternating Current Stimulation (tACS) for Patients with Post-Stroke Anomia: Preliminary Data on Picture Naming Performance **Dataset Description:**\ This dataset includes EEG recordings from two post-stroke patients with chronic anomia who participated in an 8-week individualized neuromodulation intervention using transcranial alternating current stimulation (tACS). The intervention alternated between stimulation and non-stimulation phases every two weeks and was design

Participants

2

Size

1.09 GB

Updated

Jun 6, 2026

# README More info here: https://neurostars.org/t/where-in-a-bids-dataset-should-i-put-notes-about-individual-mri-acqusitions/17315/3 ## Details related to access to the data - [ ] Data user agreement If the dataset requires a data user agreement, link to the relevant information. *** - [ Jonel Raven Morris ([email protected]; ORCID: 0000-0003-0239-1917)] Contact person *** ## Overview - [Visual Occlusions on Treadmill at Different Speeds with Stationary Visual Display ] Project name *** - [ 20

Participants

15

Size

3.31 GB

Updated

Jun 6, 2026

# Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset # Description This dataset contains EEG recordings collected during motor imagery (MI) tasks under different recording environments. The primary dataset includes recordings from a controlled laboratory setting and a simulated hospital environment, designed to investigate the impact of environmental variability on EEG-based brain–computer interface (BCI) performance.In addition, a small supplementary dataset recorded in a space station

Participants

84

Size

125 GB

Updated

Jun 6, 2026

# A multi-session simultaneous EEG-fMRI dataset with online experience sampling Here we introduce a multi-session dataset that includes simultaneous EEG-fMRI with online measures of continuous behavior and spontaneous mental experience. Data components, organized in Brain Imaging Dataset Structure (BIDS) format, include simultaneous EEG-fMRI recordings with carbon wire loop sensors embedded in EEG caps for artifact removal, electrocardiogram (ECG), behavioral task responses, experience sampling

Participants

24

Size

105 GB

Updated

Jun 6, 2026

References BIDS --------------- Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896 Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Philli

Participants

100

Size

11.0 GB

Updated

Jun 6, 2026

This dataset was generated from LSL/XDF recordings. Converted to BIDS with instructions and code [presented here](https://github.com/LMBooth/QT-nback_study/tree/main/conversion_package) - Original recordings are stored under sourcedata/xdf/ as .xdf files (non-BIDS). - EEG was converted to BrainVision format (.vhdr/.eeg/.vmrk) under each sub-*/eeg/. - *_events.tsv was generated from marker streams and then aligned so onset is relative to the EEG start time. - Marker streams include task markers

Participants

18

Size

422 MB

Updated

Jun 6, 2026

# Dataset Description This dataset contains the EEG data accompanying the study **"Adaptive recruitment of cortex-wide recurrence for visual object recognition"** (Link to preprint: https://www.biorxiv.org/content/10.1101/2025.10.17.682937v2). Please cite the above paper if you use this data. --- ## Dataset Overview - 34 participants, each with 1 session --- ## Experimental Design The EEG experiment used a stimulus set of 242 images (121 “challenge” and 121 “control” images) derived from

Participants

34

Size

60.9 GB

Updated

Jun 6, 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 6, 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 6, 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 6, 2026