Discover datasets

The task consisted of 13 scanner runs (except for subject 1 who completed 5 rather than 3 localizer runs). Runs 1-3 (1-5 for subject 1) are the localizer task. Runs 4-5 are non-analyzed data from the 'probability learning' task. Runs 6-13 (8-15 for subject 1) are the risky decision-making task. Event times were recorded with a photodiode, which is accessible as a MEG channel. This has been processed so that event times are listed in derivatives/Event_Info_Tables. Raw times of events in the scan

Participants

21

Size

426 GB

### Paired Associates Learning of Word Pairs #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a paired associates memory task. The experiment consists of participants studying pairs of visually presented words, solving simple arithmetic problems that function as a distractor, and then completing a cued recall task. The data was collected at clinical sites across the country as part of a collaboration with the Computational Memory L

Participants

72

Size

167 GB

Introduction

Participants

35

Size

356 MB

This dataset was created using BCI2000. The goal of this study was to explore the online typing performance of the P300 speller using language models and various flashing paradigms. For more information see Chandravadia et al. (https://www.medrxiv.org/content/10.1101/2022.06.24.22276882v1). If you reference this dataset in your publications, please acknowledge its authors. This dataset is made available under CC0. Note: subject 5 was not included in the analysis because the testing stag

Participants

11

Size

422 MB

Following either a 20-minute verum or sham stimulation applied to Fpz-CPz at 1 mA and 6 Hz, the participants performed WM tasks, while EEG was recorded. The task required participants to either mentally manipulate memory items or retain them in memory as they were originally presented. In addition, before the working memory task, resting state EEG with eyes closed was recorded for 3 minutes and with eyes open for 1.5 minutes. Behavioral performance data are available on OSF (https://osf.io/v2qw

Participants

25

Size

61.4 GB

# Overview This is the "Tilt Illusion" dataset. In brief, it contains EEG data for 36 subjects responding to the percieved orientation of a central target grating, that is titrated to appear vertical on average, and is surrounded by an anular grating of +-30 degrees. We then looked at the prestimulus EEG correlates of an increased or decreased tilt illusion. # Citing this dataset Please cite as follows: > Williams, J.G., Harrison, W.J., Beale, H.A., Mattingley, J.B., & Harris, A.M. (2024

Participants

36

Size

47.5 GB

Participants

40

Size

8.29 GB

This dataset contains data from externalized DBS patients undergoing simultaneous MEG - STN LFP recordings with (MedOn) and without (MedOn) dopaminergic medication. It has two movement conditions: 1) 5 min of rest followed by static forearm extension (hold) and 2) 5 min of rest followed by self-paced fist-clenching (move). The movement parts contain pauses. Some patients were recorded in resting-state only (rest). The project aimed to understand the neurophysiology of basal ganglia-cortex loops

Participants

20

Size

162 GB

# Dataset description This dataset consists of 6 patients age 13-53 years old where Cortico-Cortical Evoked Potentials (CCEPs) were recorded with Electro-CorticoGraphy (ECoG) during single pulse electrical stimulation (SPES) in the awake patient for clinical routine (SPES-clinical) and under general propofol-anesthesia (SPES-propofol). For a detailed description see: - The effect of propofol on local effective brain networks (submitted). D. van Blooijs, S. Blok, G.J.M. Huiskamp, P. van Eijsden

Participants

7

Size

27.6 GB

The main folder contains the raw EEG data in standard bids format. See references. Code and figures: https://doi.org/10.17605/OSF.IO/PWC4K Manuscript: https://doi.org/10.1101/2023.06.06.543985 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 f

Participants

20

Size

27.6 GB