Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

Publication date

2022-03-21

Authors

Berezutskaya, J.ORCID 0000-0002-2005-8758
Vansteensel, Mariska J.ORCID 0000-0002-9252-5116ISNI 0000000392447362
Aarnoutse, Erik J.
Freudenburg, Zachary V.ORCID 0000-0002-2790-0020
Piantoni, Giovanni
Branco, Mariana PORCID 0000-0002-7316-8846
Ramsey, Nick F.ORCID 0000-0002-7136-259XISNI 0000000399572879

Editors

Advisors

Supervisors

Document Type

Article

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License

cc_by

Abstract

Intracranial human recordings are a valuable and rare resource of information about the brain. Making such data publicly available not only helps tackle reproducibility issues in science, it helps make more use of these valuable data. This is especially true for data collected using naturalistic tasks. Here, we describe a dataset collected from a large group of human subjects while they watched a short audiovisual film. The dataset has several unique features. First, it includes a large amount of intracranial electroencephalography (iEEG) data (51 participants, age range of 5–55 years, who all performed the same task). Second, it includes functional magnetic resonance imaging (fMRI) recordings (30 participants, age range of 7–47) during the same task. Eighteen participants performed both iEEG and fMRI versions of the task, non-simultaneously. Third, the data were acquired using a rich audiovisual stimulus, for which we provide detailed speech and video annotations. This dataset can be used to study neural mechanisms of multimodal perception and language comprehension, and similarity of neural signals across brain recording modalities.

Keywords

Adolescent, Adult, Brain/diagnostic imaging, Brain Mapping/methods, Child, Child, Preschool, Electrocorticography, Humans, Magnetic Resonance Imaging, Middle Aged, Reproducibility of Results, Speech, Young Adult, Information Systems, Education, Library and Information Sciences, Statistics and Probability, Computer Science Applications, Statistics, Probability and Uncertainty, Research Support, Non-U.S. Gov't, Dataset, Journal Article

Citation

Berezutskaya, J, Vansteensel, M J, Aarnoutse, E J, Freudenburg, Z V, Piantoni, G, Branco, M P & Ramsey, N F 2022, 'Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film', Scientific data, vol. 9, no. 1, 91, pp. 1-13. https://doi.org/10.1038/s41597-022-01173-0