rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

Heunis, S.; Breeuwer, M.; Caballero Gaudes, C.; Hellrung, L.; Huijbers, W.; Jansen, J. F.; Lamerichs, R.; Zinger, S.; Aldenkamp, A. P.

doi:10.1101/2020.12.07.414490

bioRxiv · 10.1101/2020.12.07.414490

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

Heunis, S.·Breeuwer, M.·Caballero Gaudes, C.·Hellrung, L.·Huijbers, W.·Jansen, J. F.·Lamerichs, R.·Zinger, S.·Aldenkamp, A. P.

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Abstract

A multi-echo fMRI dataset (N=28 healthy participants) with four task-based and two resting state runs was collected, curated and made available to the community. Its main purpose is to advance the development of methods for real-time multi-echo functional magnetic resonance imaging (rt-me-fMRI) analysis with applications in neurofeedback, real-time quality control, and adaptive paradigms, although the variety of experimental task paradigms supports a multitude of use cases. Tasks include finger tapping, emotional face and shape matching, imagined finger tapping and imagined emotion processing. This work provides a detailed description of the full dataset; methods to collect, prepare, standardize and preprocess it; quality control measures; and data validation measures. A web-based application is provided as a supplementary tool with which to interactively explore, visualize and understand the data and its derivative measures: https://rt-me-fmri.herokuapp.com/. The dataset itself can be accessed via a data use agreement on DataverseNL at https://dataverse.nl/dataverse/rt-me-fmri. Supporting information and code for reproducibility can be accessed at https://github.com/jsheunis/rt-me-fMRI.

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Heunis, S., Breeuwer, M., Caballero Gaudes, C., Hellrung, L., Huijbers, W., Jansen, J. F., Lamerichs, R., Zinger, S., Aldenkamp, A. P.. 2020-12-07. rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation. https://doi.org/10.1101/2020.12.07.414490

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