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A 204-subject multimodal neuroimaging dataset to study language processing
Stockholm University, Faculty of Social Sciences, Department of Psychology. Stockholm University, Faculty of Humanities, Department of Linguistics. Radboud University, The Netherlands; Max Planck Institute for Psycholinguistics, The Netherlands; Swedish Collegium for Advanced Study, Sweden.
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Number of Authors: 62019 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 6, article id 17Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2019. Vol. 6, article id 17
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Neurosciences Language Technology (Computational Linguistics) Psychology
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URN: urn:nbn:se:su:diva-168626DOI: 10.1038/s41597-019-0020-yISI: 000464196300004PubMedID: 30944338OAI: oai:DiVA.org:su-168626DiVA, id: diva2:1314362
Available from: 2019-05-08 Created: 2019-05-08 Last updated: 2019-05-08Bibliographically approved

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