Toward a brain functional connectivity mapping modality by simultaneous imaging of coherent brainwaves

Area of Science:

• Neuroscience
• Biophysics
• Medical Imaging

Background:

• Functional connectivity analysis typically relies on correlating neural oscillations between brain regions.
• Traditional electroencephalography (EEG) and magnetoencephalography (MEG) methods face challenges in source reconstruction due to signal interference and volume current mixing.
• Existing sensor-space analyses in EEG/MEG can yield unreliable results because of these limitations.

Purpose of the Study:

• To introduce a novel method for direct visualization of coherent brain oscillations.
• To overcome the limitations of current functional connectivity analysis techniques.
• To enable more accurate and reliable mapping of brain functional connectivity.

Main Methods:

• Utilized magnetic resonance imaging (MRI) techniques to match proton-magnetic-resonance frequency with neural oscillation frequencies (e.g., alpha, gamma bands).
• Developed an experimental technique involving a step-up of the measurement B-field within a pulse sequence.
• Conducted feasibility demonstrations using phantom experiments with a SQUID-based, micro-Tesla Nuclear Magnetic Resonance (NMR)/MRI system.

Main Results:

• Successfully demonstrated the feasibility of directly visualizing coherent brain oscillations.
• The experimental trick effectively decoupled the magnetic resonance signal from the strong magnetoencephalographic signal at the same frequency.
• This approach circumvents the power- وت mixing and volume current mixing issues inherent in EEG/MEG source reconstruction.

Conclusions:

• Direct visualization of coherent brain oscillations offers a promising alternative for functional connectivity studies.
• The developed technique provides a more accurate method for mapping brain networks.
• This advancement has the potential to significantly improve our understanding of brain function and connectivity.