Presentation of brain electrical activity distribution on its cortex surface derived from MR images

Area of Science:

• Neuroscience
• Medical Imaging
• Biomedical Engineering

Background:

• Scalp-recorded potentials (EEG) are crucial for understanding brain activity in health and disease.
• Visualizing electrical potentials on individual cortical surfaces aids treatment and surgical planning.
• Integrating EEG and MRI data requires accurate alignment.

Purpose of the Study:

• To present a new registration technique for aligning EEG and MRI data.
• To enable visual presentation of EEG potentials superimposed on patient-specific MRI-derived cortex surfaces.
• To facilitate neurological diagnostics through integrated neuroimaging data.

Main Methods:

• Development of a novel registration technique for EEG and MRI data alignment.
• The method utilizes intrinsic geometrical features, eliminating the need for external fiducial markers.
• Application of the technique to sensory evoked potential (SEP) examinations.

Main Results:

• Successful alignment of EEG and MRI datasets using the new registration method.
• Demonstration of visual presentation of EEG potentials on patient cortex surfaces.
• Validation of the technique in a case study involving a pathological case and a control group.

Conclusions:

• The developed registration technique offers a convenient and marker-free approach for integrating EEG and MRI data.
• This integration enhances the diagnostic capabilities for neurological disorders.
• The method shows promise for clinical applications in neurological diagnostics and surgical planning.