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Sci Data. 2019 Apr 3;6(1):17. doi: 10.1038/s41597-019-0020-y.

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

Author information

1
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands. j.schoffelen@donders.ru.nl.
2
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
3
NatMEG, Karolinska Institutet, Stockholm, Sweden.
4
Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
5
Stockholm University, Department of Psychology and Department of Linguistics, Stockholm, Sweden.
6
Swedish Collegium for Advanced Study, Uppsala, Sweden.
7
Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.

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.

PMID:
30944338
DOI:
10.1038/s41597-019-0020-y

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