Brain surface electrode co-registration using MRI and X-ray.

Area of Science:

• Neuroscience
• Medical Imaging
• Biomedical Engineering

Background:

• Electrocorticography (ECoG) is increasingly utilized in diverse experimental research.
• Accurate electrode localization is crucial for correlating neural activity with brain structures.
• Existing methods may be limited by poor magnetic resonance imaging (MRI) or computed tomography (CT) quality.

Purpose of the Study:

• To present a straightforward, semi-automated method for determining ECoG electrode positions relative to brain anatomy.
• To provide a viable solution for electrode localization in scenarios with suboptimal imaging data.

Main Methods:

• The method integrates pre-implantation MRI with post-implantation coronal and sagittal X-rays.
• It involves semi-automated steps: manual adjustment of X-rays to brain outlines, threshold setting for surface rendering, and manual electrode identification on X-rays.
• The process is designed for rapid execution.

Main Results:

• Electrode positions can be identified and rendered in approximately 20 minutes.
• The approach effectively estimates electrode placement concerning brain gyral anatomy.
• It offers a practical solution for poor-quality MRI or lack of CT data.

Conclusions:

• This semi-automated method provides a fast and effective way to estimate ECoG electrode positions.
• It is particularly valuable in research settings where high-quality imaging is unavailable.
• The technique enhances the ability to relate experimental findings to precise brain anatomy.