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Inner Speech Dataset. Author: Nicolás Nieto Code available at: https://github.com/N-Nieto/Inner\_Speech\_Dataset Publication available at: https://www.nature.com/articles/s41597-022-01147-2 Abstract: Surface electroencephalography is a standard and noninvasive way to measure electrical brain activity. Recent advances in artificial intelligence led to significant improvements in the automatic detection of brain patterns, allowing increasingly faster, more reliable and accessible Brain-Comput

Participants

10

Size

18.3 GB

The data included 18 participants that played at 2 different games during wakefulness in the 3T MRI: the FACE and the MAZE game, intermixed with periods of REST and period of preparation of each game (game session). The tasks were manipulated and at the end of the game session, one game was won (Reward game) and the second was lost (No Reward game), randomly assigned for each participant. Next, during the sleep session, 64 electrodes were placed on the head of the participants, before they slept

Participants

18

Size

18.0 GB

The musicians were instructed to listen to chord progressions, that each consisted of three chords. We refer to one instance of such a progression in the recording as a trial. Every one of the three chords in one trial sounded in sequence, each for 400 ms in piano timbre, after which each trial ended with another 400 ms silence. This resulted in a fixed, total trial length of 1600 ms. The only progressions used in the experiment were ii-IV-I, ii-V-I, ii-IV6-I and ii-V6-I. Each experimental block

Participants

40

Size

47.6 GB

This dataset contains the MEG and structural MRI data from the "Electrophysiological correlates of mood and reward dynamics in human adolescents" pre-registered analysis (https://www.biorxiv.org/content/10.1101/2021.03.04.433969v1). The task-mmi3 data corresponds to the monetary gambling mood induction task described in the paper. Task-mmi3 data has been pre-processed marking bad channels and bad segments (motion > 5mm or/and noise artifacts). Task-rest data is unprocessed 10 minutes resting

Participants

51

Size

123 GB

# VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes ## Overview The multimodal dataset VEPCON follows the BIDS standard and provides raw data of high-density EEG, structural MRI and diffusion weighted images (DWI) recorded in 20 participants. Visual evoked potentials were recorded while participants discriminated briefly presented faces from scrambled faces (`task-faces`), or coherently moving stimuli from incoherent ones (`ta

Participants

20

Size

29.0 GB

Zurich iEEG HFO Dataset ==================== This dataset was obtained from the publication [1]. There are 20 subjects with HFO events. We converted the dataset into BIDS format. The channels that were included in the resected region and channels excluded from analysis are included in the clinical Excel file under the ``sourcedata/`` directory. The channels were extracted from the Supplementary table at: https://static-content.springer.com/esm/art\%3A10.1038\%2Fs41598-017-13064-1/MediaObjects/

Participants

20

Size

44.7 GB

# Dataset of EEG recordings containing HFO markings for 30 pediatric patients with epilepsy ## Summary High-frequency oscillations in scalp EEG are promising non-invasive biomarkers of epileptogenicity. However, it is unclear how high-frequency oscillations are impacted by age in the pediatric population. We recorded and processed the first 3 hours of sleep EEG data in 30 children and adolescents with focal or generalized epilepsy. We used an automated and clinically validated high-frequency

Participants

30

Size

15.1 GB

This dataset contains the EEG used in the paper: Evidence accumulation relates to perceptual consciousness and monitoring, 2021, Nature Communications Participants: Twenty healthy participants (7 woman; age: 25.2, SD = 4.1) participated in this study for a 40 CHF compensation. Subjects gave written informed consent prior to participating and all experimental procedures were approved by the Commission Cantonale d'Ethique de la Recherche de la République et Canton de Genève (2015-00092 15-273).

Participants

18

Size

24.9 GB

Visual working memory in control & sub-acute mild TBI. Mind wandering probes were inserted between trials. **DATA NEVER PUBLISHED!** If youre interested in working together, I have 1/3 of the paper already done, including CONSORT diagrams, tables, behavioral analysis, etc. All EEG data are even fully cleaned and pre-processed. For CTL and sub-acute mTBI: Session 1 was from 3 to 14 days post-injury and was the only session with MRI. (MRI will be uploaded ...later). Session 2 wa

Participants

91

Size

37.5 GB

3 stimulus auditory oddball data in control, sub-acute mild TBI, and chronic TBI. Rest data is also included. 3AOB data published here: 10.1016/j.neuropsychologia.2019.107125. FYI, same task as this different dataset: https://openneuro.org/datasets/ds003490/versions/1.1.0. For CTL and sub-acute mTBI: Session 1 was from 3 to 14 days post-injury and was the only session with MRI. (MRI will be uploaded ...later). Session 2 was ~2 months (1.5 to 3) and Session 3 was ~4 months (3 to 5) follow

Participants

96

Size

25.4 GB