Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications

Area of Science:

• Neuroimaging
• Functional Magnetic Resonance Imaging (fMRI)

Background:

• Gradient-echo (GE) sequences are widely used for functional magnetic resonance imaging (fMRI) due to their high signal-to-noise ratio and fast acquisition.
• However, GE sequences exhibit limited spatial localization, hindering their application in laminar neuroimaging.

Purpose of the Study:

• To evaluate the impact of pre-processing techniques on the spatial localization of signals acquired with the EPIK GE sequence.
• To enhance the utility of GE-BOLD fMRI for laminar-specific brain activity investigations.

Main Methods:

• Assessment of existing pre-processing methods on fMRI data acquired using the EPIK GE sequence.
• Analysis focused on spatial localization of blood-oxygen-level-dependent (BOLD) signals.
• Data included both task-based and resting-state fMRI, utilizing reconstructed magnitude and phase images.

Main Results:

• Pre-processing methods were found to significantly influence the spatial localization of GE-fMRI signals.
• The study identified effective strategies to improve the precision of GE-BOLD signal localization.
• Results demonstrate the potential for enhanced laminar resolution with GE-based fMRI.

Conclusions:

• Existing pre-processing methods can effectively improve the spatial localization of GE-BOLD signals from the EPIK sequence.
• These improvements make GE-fMRI a more viable tool for laminar-specific functional brain studies.
• Optimized pre-processing rescues the benefits of GE sequences for high-resolution neuroimaging.