A 204-subject multimodal neuroimaging dataset to study language processing

Jan Mathijs Schoffelen, Robert Oostenveld, Nietzsche H.L. Lam, Julia Uddén, Annika Hultén, Peter Hagoort

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)
218 Downloads (Pure)


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.

Original languageEnglish
Article number17
Pages (from-to)1-13
Number of pages13
JournalScientific Data
Issue number1
Publication statusPublished - 3 Apr 2019
MoE publication typeA1 Journal article-refereed



Fingerprint Dive into the research topics of 'A 204-subject multimodal neuroimaging dataset to study language processing'. Together they form a unique fingerprint.

Cite this