Towards robust in vivo quantification of oscillating biomagnetic fields using Rotary Excitation based MRI
Maximilian Gram1,2, P Albertova3,4, V Schirmer3
1Experimental Physics 5, University of Würzburg, Würzburg, Germany. maximilian.gram@physik.uni-wuerzburg.de.
Scientific Reports
|September 13, 2022
Summary
Researchers explored Rotary EXcitation (REX) in functional magnetic resonance imaging (fMRI) for detecting neuronal activity. They successfully detected nano-Tesla range magnetic field oscillations in brain tissue using transmission of Rotary EXcitation (tREX).
Area of Science:
- Neuroscience
- Biophysics
- Medical Imaging
Background:
- Functional magnetic resonance imaging (fMRI) offers potential for direct neuronal activity detection.
- Spin-lock techniques are crucial for enhancing sensitivity in fMRI.
- Understanding fundamental effects like Rotary EXcitation (REX) is key for advancing fMRI capabilities.
Purpose of the Study:
- To investigate the fundamental effect of Rotary EXcitation (REX) in spin-lock based fMRI.
- To establish experimental conditions for robust detection of ultra-weak magnetic field oscillations.
- To develop a novel method for emulating brain activity for REX sequence validation.
Main Methods:
- Simulations, phantom experiments, and in vivo studies were conducted to analyze REX.
- An empirical law was derived to predict optimal spin-lock pulse durations for maximum sensitivity.
- A novel concept using MRI gradient systems for brain activity emulation was developed and validated.
Main Results:
- An empirical law for optimizing spin-lock pulse durations was identified.
- Experimental conditions enabling robust detection of weak magnetic field oscillations were established.
- Transmission of Rotary EXcitation (tREX) successfully detected magnetic field oscillations in the nano-Tesla range in brain tissue.
Conclusions:
- REX is a fundamental effect with significant implications for fMRI.
- The developed tREX technique allows for the detection of biomagnetic fields in brain tissue.
- This work paves the way for quantifying biomagnetic fields using advanced fMRI techniques.
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