Overview

Summary

This dataset is comprised of neuroimaging data collected at the Nathan Kline Institute (NKI). The dataset represents simultaneously collected electroencephalography (EEG) and function magnetic resonance imaging (fMRI) recordings obtained from 22 individuals between the ages of 23 and 51 years-old. EEG data contains 64-channel EEG recordings using a customized Brain Products BrainCapMR consisting of 61 cortical channels, two EOG channels placed below (channel 63) and above (channel 64) the left eye, and one ECG channel (channel 32) placed on the back. This dataset also contains eye tracking and physiological recordings. Eye tracking recordings were collected inside the scanner using EyeLink 1000 (SR Research Ltd.) with eye position and pupil dilation were recorded using an infrared based eye tracker. Physiological recordings were collected using BIOPAC MP150 (BIOPAC Systems, Inc.) using a respiratory transducer belt to monitor breathing. All individuals were consented in accordance and compliance with the Institutional Review Board (IRB) at NKI. Individuals provided demographic information and behavioral data. Behavioral data included participants filling out a survey on their last month of sleep (Pittsburgh Sleep Study), the amount of sleep they had the previous night, and their caffeine intake (if any) before the scan session. The primary goal of this study is to understand the neural underpinnings of brain function evaluating the correlation between electrical activity and hemodynamic fluctuations derived from neuroimaging data.

The uploaded dataset, organized according to Brain Imaging Data Structure (BIDS) format includes de-identified and de-faced brain images (MPRAGE, fMRI), EEG, eye-tracking, heart rate, respiration, and de-identified phenotypic data from the 22 subjects for whom explicit consent for open-science sharing of data was obtained. We provide raw and preprocessed data.

This dataset includes:

Data Release Download

The data are available for download in an Amazon Web Services S3 bucket: s3://fcp-indi/data/Projects/NATVIEW_EEGFMRI/

Instructions on how to download individual files on the S3 bucket can be seen here.

A webpage with direct downloads per subject can be seen here.

Code

Code used for data collection and preprocessing are available in the project's github page.

Personnel

Project lead: Principal investigators: Core Research Team: Data Organization:

Data privacy

All imaging data in this release has been de-identified, removing any personal identifying information (as defined by the Health Insurance Portability and Accountability) from data files, including facial features. Data and code are shared under the CC BY 4.0 license.

Funding

BRAIN Initiative Grant, R24MH114806

National Institute of Mental Health Grant, P50MH109429

Publications

PREPRINT: Telesford QK, Gonzalez-Moreira E, Xu T, Tian Y, Colcombe S, Cloud J, Russ BE, Falchier A, Nentwich M, Madsen J, Parra L, Schroeder C, Milham M, Franco AR (2022). Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI. bioRxiv. doi: https://doi.org/10.1101/2022.11.23.517540