Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
Julia BerezutskayaiD, Mariska J. VansteenseliD, Erik J. AarnoutseiD, Zachary V. FreudenburgiD, Giovanni PiantoniiD, Mariana Pedroso BrancoiD, Nick F. RamseyiD
Abstract
Intracranial human recordings are a valuable and rare resource that the whole neuroscience community can benefit from. Making such data available to the neuroscience community not only helps tackle the reproducibility issues in science, it also helps make more use of this valuable data. The latter 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 is characterized by several unique features. First, it combines a large amount of intracranial data from 51 intracranial electroencephalography (iEEG) participants, who all did the same task. Second, the intracranial data are accompanied by fMRI recordings acquired for the same task in 30 functional magnetic resonance imaging (fMRI) participants. Third, the data were acquired using a rich audiovisual stimulus, for which we provide detailed speech and video annotations. This multimodal dataset can be used to address questions about neural mechanisms of multimodal perception and language comprehension as well as the nature of the neural signal acquired during the same task across brain recording modalities.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 40
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI
Qawi K. Telesford, Eduardo Gonzalez-Moreira, … Alexandre R. Franco·Scientific DataPeer-reviewed·Aug 23, 2023
- A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
Fatemeh Ebrahiminia, Morteza Mahdiani, Seyed‐Mahdi Khaligh‐Razavi·bioRxiv·May 12, 2022
- AVMoments-EEG: A Large-Scale EEG Dataset of Naturalistic Audiovisual Event Perception
TANG Shuning, Zitong Lu, … Dongwei Li·bioRxiv·Sep 23, 2026
- A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks
Heejung Jung, Maryam Amini, … Tor Dessart Wager·Scientific DataPeer-reviewed·Aug 22, 2025
- Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
Foteini Liwicki, Vibha Gupta, … Johan Eriksson·Scientific DataPeer-reviewed·Jun 13, 2023
- Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration.
Giulia Lioi, Claire Cury, … Christian Barillot·Scientific DataPeer-reviewed·Jun 10, 2020