rt-me-fMRI

rt-me-fMRI dataset provides multi-echo functional magnetic resonance imaging (fMRI) data including task-based and resting-state runs to support real-time signal separation, analysis, and methodological development.


Key Features:

  • Multi-Echo fMRI Acquisition: Includes multi-echo fMRI sequences enabling separation of physiological and BOLD-related signals for real-time applications.
  • Diverse Task and Resting-State Runs: Contains four task-based runs (finger tapping, emotional face and shape matching, imagined finger tapping, imagined emotion processing) and two resting-state runs.

Scientific Applications:

  • Real-Time fMRI Method Development: Supports neurofeedback, real-time quality control, and adaptive experimental paradigms based on ongoing brain activity measurements.

Methodology:

The dataset was acquired using multi-echo fMRI protocols with standardized preprocessing and quality control procedures, enabling separation of signal components and validation of real-time fMRI analysis methods.

Topics

Details

License:
MIT
Added:
1/18/2021
Last Updated:
2/8/2021

Operations

Publications

Heunis S, Breeuwer M, Caballero-Gaudes C, Hellrung L, Huijbers W, Jansen JF, Lamerichs R, Zinger S, Aldenkamp AP. rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation. Unknown Journal. 2020. doi:10.1101/2020.12.07.414490.

Links