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A 204-subject multimodal neuroimaging dataset to study language processing.

Authors :
Schoffelen, Jan-Mathijs
Oostenveld, Robert
Lam, Nietzsche H. L.
Uddén, Julia
Hultén, Annika
Hagoort, Peter
Source :
Scientific Data; 4/3/2019, Vol. 6 Issue 1, pN.PAG-N.PAG, 1p
Publication Year :
2019

Abstract

This dataset, colloquially known as the Mother Of Unification Studies (MOUS) dataset, contains multimodal neuroimaging data that has been acquired from 204 healthy human subjects. The neuroimaging protocol consisted of magnetic resonance imaging (MRI) to derive information at high spatial resolution about brain anatomy and structural connections, and functional data during task, and at rest. In addition, magnetoencephalography (MEG) was used to obtain high temporal resolution electrophysiological measurements during task, and at rest. All subjects performed a language task, during which they processed linguistic utterances that either consisted of normal or scrambled sentences. Half of the subjects were reading the stimuli, the other half listened to the stimuli. The resting state measurements consisted of 5 minutes eyes-open for the MEG and 7 minutes eyes-closed for fMRI. The neuroimaging data, as well as the information about the experimental events are shared according to the Brain Imaging Data Structure (BIDS) format. This unprecedented neuroimaging language data collection allows for the investigation of various aspects of the neurobiological correlates of language. Design Type(s) behavioral data analysis objective • observation design Measurement Type(s) brain activity measurement Technology Type(s) magnetic resonance imaging • Magnetoencephalography Factor Type(s) biological sex • receptive language perception • Language Sample Characteristic(s) Homo sapiens • brain Machine-accessible metadata file describing the reported data (ISA-Tab format) [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
6
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
137441702
Full Text :
https://doi.org/10.1038/s41597-019-0020-y