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This dataset provides complementary material to the previously published dataset named “A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects” with doi:10.18112/openneuro.ds004504.v1.0.8. It is consisted of eyes-open EEG recordings in multiple photic stimulation settings, according to the clinical protocol of the 2nd department of Neurology, AHEPA University of Thessaloniki, Greece. The participant numbers match the respective participant numbers of

Participants

88

Size

1.05 GB

Accession: #: ds006035 Description: Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve stimulation and motor responses. This dataset contains MRI (T1w), MEG, and EEG data for median nerve electrical stimuli delivered at the right wrist. The task was to respond by lifting the left hand idex finger as quickly as possible after each right median nerve stimulus. meg/ ---- Three anatomical fiducials were digitized for aligning the MEG with the MRI: 1. nasion (lowe

Participants

5

Size

3.07 GB

# Inner Speech EEG-fMRI Dataset ## Description This dataset contains simultaneous EEG-fMRI recordings for inner speech experiments. Data were collected using a 3T MRI scanner and 64-channel BrainProducts EEG system. The EEG data have undergone preprocessing, including pulse artifact removal, using the BrainVision Analyzer software. No further data transformations have been applied to ensure the dataset remains BIDS-compliant as "raw". ## Subjects - Number of subjects: 3 - Sessions per subject:

Participants

3

Size

15.3 GB

## The Cognitive Electrophysiology in Socioeconomic Context in Adulthood Dataset # Data Description This dataset comprises electroencephalogram (EEG) data collected from 127 young adults (18-30 years), along with retrospective objective and subjective indicators of childhood family socioeconomic status (SES), as well as SES indicators in adulthood, such as educational attainment, individual and household income, food security, and home and neighborhood characteristics. The EEG data were recorde

Participants

127

Size

10.6 GB

# A geometric shape regularity effect in the human brain: MEG dataset Authors: * Mathias Sablé-Meyer* * Lucas Benjamin * Cassandra Potier Watkins * Chenxi He * Maxence Pajot * Théo Morfoisse * Fosca Al Roumi * Stanislas Dehaene *Corresponding author: [mathias.sable-meyer@ucl.ac.uk](mailto:mathias.sable-meyer@ucl.ac.uk) ## Abstract The perception and production of regular geometric shapes is a characteristic trait of human cultures since prehistory, whose neural mechanisms are unknown. Behav

Participants

21

Size

71.1 GB

The experiment consisted of two tasks: the main instruction-following task and an additional localizer task. The data of each participant was recorded in one session. For the main instruction-following task, participants saw four sequential screens -screen display of 200 ms and 800 ms as interscreen interval- that contained the full instruction, after a pretarget interval, they were presented with the target images -two images framed by a colored shape, on display for 200 ms-. They had to r

Participants

41

Size

57.7 GB

Dataset of intracranial EEG from human epilepsy patients performing a visuomotor task Description: We present an electrophysiological dataset recorded from ten subjects during a visuomotor task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects completed five sessions of Speed Match - a visuomotor on the Lumosity platform (https://www.lumosity.com/; Lumos Labs, Inc, San Francisco, CA) - during interictal EEG recording. Reposito

Participants

8

Size

818 MB

Participants

19

Size

34.1 GB

# The HBN-EEG Dataset This is **Release 11** of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017). ## Data Description This dataset comprises elec

Participants

430

Size

219 GB

# The HBN-EEG Dataset This is **Release 10** of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017). ## Data Description This dataset comprises elec

Participants

533

Size

161 GB