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-------- This dataset contains intracranial EEG recordings from one patient during single pulse electrical stimulation. These data were recorded at the Mayo Clinic in Rochester, MN, as part of the NIH Brain Initiative supported project R01 MH122258 "CRCNS: Processing speed in the human connectome across the lifespan". The overarching goal of this project is to develop a large database of single pulse stimulation data and develop tools to advance our understanding of the human connectome across

Participants

1

Size

620 MB

References ---------- 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 Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfo

Participants

34

Size

92.3 GB

EEG Raw and processed data for a memory task presented in virtual reality, The full task is on OSF: https://osf.io/s9xmu/files Derviatives: Behavioral data from the task in derivatives Processed data is in the derivatives Code Event codes are listed in the code file Trial function, preprocessing, data cleaning and analysis are also in the code file. Task: Wearing a head mounted display to display the task in virtual reality participants completed a visual working memory task

Participants

47

Size

17.5 GB

Open iEEG-fMRI dataset from stimulation with a short audiovisual film Full description of the data in our dataset paper: https://www.nature.com/articles/s41597-022-01173-0 Video description of the dataset: https://www.youtube.com/watch?v=C14cWM1CvrE&t=13s UMC Utrecht Team https://www.nick-ramsey.eu/

Participants

63

Size

15.2 GB

Age-related differences in EEG, ECG and pupilography during auditory cued reaction time tasks In this study, we acquired the electroencephalogram (EEG), pupilogram and electrocardiogram (ECG) while a group of young (N = 36) and a group of older (N = 39) adults were engaged in auditory cued reaction time tasks (active tasks) or passively listening to the auditory stimulus used as temporal cue, presented with the same frequency as in the active tasks (passive task - 4 minutes acquired at the begi

Participants

75

Size

21.5 GB

This dataset contains raw and processed MEG data for the paper "Model-based aversive learning in humans is supported by preferential task state reactivation" by Toby Wise, Yunzhe Liu, Fatima Chowdhury & Ray Dolan. Raw data is provided as `.fif` files, although it was acquired on a CRF system.

Participants

28

Size

212 GB

**Introduction:** This dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The MEG and EEG data were simultaneously recorded; the sMRI scans were preserved to support M/EEG source localization. Following event log augmentation, reorganization, and HED (v8.0.0) annotation, the EEG data have been repa

Participants

18

Size

106 GB

raw EEG in a modified Sternberg working memory paradigm with two types of task: with mental manipulations (alphabetization) and simple retention (TASK) and 3 levels of load: 5, 6, or 7 letter to memorize (LOAD). Events.tsv files in eeg folders contain event descriptions (see column trial\_type). trial\_type = { '500' 'start of the trial'; '150' 'start of the baseline period: Retention of 5 letters (5R)'; '151' 'start of the baseline period: Manipulation with 5 letters (5M)';

Participants

156

Size

20.3 GB

**ForrestGump-MEG: A audio-visual movie watching MEG dataset** For details please refer to our paper on https://www.biorxiv.org/content/10.1101/2021.06.04.446837v1. This dataset contains MEG data recorded from 11 subjects while watching the 2h long Chinese-dubbed audio-visual movie 'Forrest Gump'. The data were acquired with a 275-channel CTF MEG. Auxiliary data (T1w) as well as derivation data such as preprocessed data and MEG-MRI co-registration are also included. Please noted that For sub

Participants

11

Size

73.5 GB

### Overview This dataset contains raw and pre-processed EEG data from a mobile EEG study investigating the effects of cognitive task demands, motor demands, and environmental complexity on attentional processing (see below for experiment details). All preprocessing and analysis code is deposited in the `code` directory. The entire MATLAB pipeline can be reproduced by executing the `run\_pipeline.m` script. In order to run these scripts, you will need to ensure you have the required MATLAB

Participants

44

Size

17.0 GB