A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension

Kristijan Armeni; Umut Güçlü; Marcel van Gerven; Jan-Mathijs Schoffelen

doi:10.1038/s41597-022-01382-7

Scientific Data (Jun 2022)

A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension

Kristijan Armeni,
Umut Güçlü,
Marcel van Gerven,
Jan-Mathijs Schoffelen

Affiliations

Kristijan Armeni: Donders Institute for Brain, Cognition and Behaviour, Radboud University
Umut Güçlü: Donders Institute for Brain, Cognition and Behaviour, Radboud University
Marcel van Gerven: Donders Institute for Brain, Cognition and Behaviour, Radboud University
Jan-Mathijs Schoffelen: Donders Institute for Brain, Cognition and Behaviour, Radboud University

DOI: https://doi.org/10.1038/s41597-022-01382-7
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 18

Abstract

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Measurement(s) brain activity measurement Technology Type(s) Magnetoencephalography Factor Type(s) auditory story Sample Characteristic - Organism Homo sapien

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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