A multi-subject, multi-modal human neuroimaging dataset

• Published in: Scientific data Vol. 2; no. 1; p. 150001
• Main Authors: Wakeman, Daniel G, Henson, Richard N
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.01.2015; Nature Publishing Group
• Subjects: 631/1647/1453/1450; 631/1647/245/1627; 631/378/2649; 692/700/1421/65; Adult; Brain - physiology; Brain Mapping; Data Descriptor; Electroencephalography; Female; Functional Neuroimaging; Healthy Volunteers; Humanities and Social Sciences; Humans; Magnetic Resonance Imaging; Magnetoencephalography; Male; multidisciplinary; Science; Task Performance and Analysis
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2015.1

We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from https://openfmri.org/ . Design Type(s) observational design Measurement Type(s) encephalography • nuclear magnetic resonance assay Technology Type(s) electro- and magneto-encephalography • MRI Scanner Factor Type(s) Sample Characteristic(s) Homo sapiens • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)