Integrated datasets of normalized brain with functional localization using intra-operative electrical stimulation.

Area of Science:

• Neurosurgery
• Medical Imaging
• Computational Neuroscience

Background:

• Accurate intra-operative brain mapping is crucial for optimizing glioma resection.
• Integrating pre-operative and intra-operative data enhances surgical planning and prediction of outcomes.

Purpose of the Study:

• To develop a method for transforming brain mapping data into a digitized intra-operative MRI and integrated brain function dataset.
• To enable predictive glioma surgery by considering tumor resection volume and complication rates.

Main Methods:

• Brain function data were digitized and localized on a normalized brain using an electric stimulus probe.
• Normalized brain images with functional information were projected onto individual patient's brain images.
• Log data were acquired using a medical device integrated into intra-operative MR images.

Main Results:

• Digitized brain function was successfully converted to a normalized brain data format in 13 cases.
• Electrical stimulation identified speech arrest, speech impairment, motor, and sensory responses.
• Transformation accuracy between intra-operative MRI, pre-operative MRI, and normalized brain demonstrated acceptable results.

Conclusions:

• The developed image integration and transformation method facilitates practical intra-operative brain mapping.
• This approach holds potential for pre-operative and intra-operative prediction of brain function.