ArticleScientific data2022
Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 39 citations in OpenAlex.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos.Scientific data · 2026Article
- Inferring neural sources from electroencephalography: foundations and frontiers.Journal of neural engineering · 2026Review
- The representation of facial emotion expands from sensory to prefrontal cortex with development.eLife · 2026Article
- Temporal propagation of neural state boundaries in naturalistic context.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- The representation of facial emotion expands from sensory to prefrontal cortex with development.bioRxiv : the preprint server for biology · 2025Article
- Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception.Scientific data · 2025Article
- Emo-FilM: A multimodal dataset for affective neuroscience using naturalistic stimuli.Scientific data · 2025Article
- Tensor-powered insights into neural dynamics.Communications biology · 2025Article
- Anatomically distinct cortical tracking of music and speech by slow (1-8Hz) and fast (70-120Hz) oscillatory activity.PloS one · 2025Article
- Forecasting fMRI images from video sequences: linear model analysis.Health information science and systems · 2024Article
- A comparison of EEG encoding models using audiovisual stimuli and their unimodal counterparts.PLoS computational biology · 2024Article
- A large-scale fMRI dataset for human action recognition.Scientific data · 2023Article
- Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition.Scientific data · 2023Article
- Advances in human intracranial electroencephalography research, guidelines and good practices.NeuroImage · 2022Review
- A synchronized multimodal neuroimaging dataset for studying brain language processing.Scientific data · 2022Article
- Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film.Scientific data · 2022Article
- Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.Brain computer interfaces (Abingdon, England) · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.