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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Multiecho coarse voxel acquisition for neurofeedback fMRI
Audrey Y-C Kuo1, Mark Chiew, Fred Tam
1Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Magnetic Resonance in Medicine
|February 22, 2011
Summary
This study introduces a novel multiecho pulse sequence for real-time functional magnetic resonance imaging (fMRI) in neurofeedback. The new method enhances temporal resolution for faster brain activity monitoring, crucial for therapeutic applications.
Area of Science:
- Neuroimaging
- Biophysics
- Medical Physics
Background:
- Real-time functional magnetic resonance imaging (fMRI) is increasingly used for neurofeedback therapies.
- Current fMRI techniques often balance spatial and temporal resolution, limiting rapid brain activity monitoring.
- There is a need for fMRI pulse sequences with enhanced temporal resolution for improved neurofeedback.
Purpose of the Study:
- To develop and evaluate a novel multiecho coarse voxel pulse sequence for real-time fMRI.
- To assess the potential of this sequence for enhanced temporal resolution in neurofeedback applications.
- To compare the performance of the new sequence against existing spiral imaging techniques.
Main Methods:
- Developed a prototype pulse sequence using outer volume saturation and an asymmetric gradient echo train.
- Acquired densely sampled transverse relaxation time decays at coarse voxel locations (5×20×20 mm3).
- Sampled 256 echoes at ~1 msec, combined via weighted summation to boost signal contrast.
Main Results:
- The multiecho coarse voxel sequence achieved comparable signal-to-noise ratio to spiral imaging in the primary motor cortex at 1.5 T.
- Demonstrated potential for significantly enhanced temporal resolution compared to conventional methods.
- Successfully measured and calculated fMRI signals within 1 second in a neurofeedback experiment.
Conclusions:
- The developed multiecho coarse voxel pulse sequence is a promising alternative for real-time fMRI neurofeedback.
- This approach offers improved temporal resolution, enabling faster monitoring of brain activity.
- The findings highlight the potential for more effective and responsive neurofeedback therapies.
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