Discover datasets

0. Sections ------------ 1. Project 2. Dataset 3. Terms of Use 4. Contents 5. Method and Processing 1. PROJECT ------------ Title: Brain-Computer Music Interface for Monitoring and Inducing Affective States (BCMI-MIdAS) Dates: 2012-2017 Funding organisation: Engineering and Physical Sciences Research Council (EPSRC) Grant no.: EP/J003077/1 and EP/J002135/1. 2. DATASET ------------ Title: EEG data investigating neural correlates of music-induced emotion. Description: This dataset accompanie

Participants

31

Size

3.35 GB

Participants

18

Size

2.39 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

4.31 GB

OpenNeuro curator note: This dataset was previously accessible at ds001985. The dataset was reuploaded due to privacy considerations. The experiment is composed by two runs We here report the code triggers for each run: Run 1: single item 10 = single numbers 15 = single letters 20 & 25 = single false fonts Run 2: strings 35 = strings numbers 40 = strings letters 45 & 50 = strings false fonts raw files could be split into two files (e.g., run-1 + run-11)

Participants

25

Size

102 GB

Participants seated in a dimly lit room at 110 cm from a computer screen piloted from a PC computer. Two tasks alternated: a categorization task and a recognition task. In both tasks, target images and non-target images were equally likely presented. Participants were tested in two recording phases. The first day was composed of 13 series, the second day of 12 series, with 100 images per series (see details of the series below). To start a series, subjects had to press a touch-sensitive button.

Participants

14

Size

9.22 GB

This experiment has 20 subjects. Subjects asked to mentally concentrate on a target (see published article for more information) for periods of about 15 seconds. There are 4 verbal instructions given to subject by an automated computer program connected to a speakerphone: - The instruction is to wait until the experiment starts - The instruction is to relax - The instruction is to get ready as the trial is about to start - The instruction is to mentally concentrate on the target All the exp

Participants

20

Size

777 MB

This dataset contains the data in Pereira, M., Faivre, N., Iturrate, I., Wirthlin, M., Serafini, L., Martin, S., Desvachez, A., Blanke, O., Van De Ville, D., Millan, JdR. (2020). Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging. Proceedings of the National Academy of Science, 117 (15) pp. 8382-8390 https://doi.org/10.1073/pnas.1918335117 Preprint: https://www.biorxiv.org/content/10.1101/496877v1 ABSTRACT The human capacity to compute the lik

Participants

20

Size

76.5 GB

Data for this selective attention task was collected in 2004 at the Swartz Center for Computational Neuroscience at UCSD. These datasets are part of a larger corpus of 32-channel data collected a few years prior. The experiment is identical although the number of channel is larger (256), the electrode positions are scanned and the anatomical MRI is provided (allowing for precise source localization). See publication for more details. Raw data manipulation before export: - Fuse all BDF BIOSEMI f

Participants

2

Size

1.33 GB

OpenNeuro curator note: This dataset was previously accessible at ds001750. The dataset was reuploaded due to privacy considerations. # Data folder corresponding to [this manuscript](https://www.biorxiv.org/content/early/2018/03/16/283234) #### Differential brain mechanisms of selection and maintenance of information during working memory Note: One participant didn't sign a sharing data agreement so data of 22 participants are available here (vs. 23 in the manuscript). Results and conclusion

Participants

22

Size

167 GB

———————————————————————————————— ORIGINAL PAPERS ———————————————————————————————— Lioi, G., Cury, C., Perronnet, L., Mano, M., Bannier, E., Lécuyer, A., & Barillot, C. (2019). Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration Authors. BioRxiv. https://doi.org/https://doi.org/10.1101/862375 Mano, Marsel, Anatole Lécuyer, Elise Bannier, Lorraine Perronnet, Saman Noorzadeh, and Christian Barillot. 2017. “How to Bu

Participants

10

Size

16.8 GB