Completed Brain & Nervous System Cancer

Image-guided neurosurgical treatment of epilepsy

In plain English

AI plain-English summary

Surgeons removing seizure-causing brain tissue currently rely on MRI scans that show structure but not function, leaving them to guess where vital areas for language, movement, and vision lie. This matters because epilepsy surgery is a high-stakes trade-off: remove too little tissue and seizures continue; remove too much and patients lose the ability to speak, see, or move. Current MRI guidance cannot map these critical functions, nor can it simulate where to safely place recording electrodes before surgery. A team led by Professor John Duncan and Dr Sebastien Ourselin at University College London has built a system that identifies functional brain areas, neural connections, and blood vessels, then displays them in 3D. They now plan to integrate this into the MRI guidance system used in the operating room, allowing surgeons to plan electrode placement and tissue removal interactively before making the first incision. If successful, this would make epilepsy surgery more precise and safer, reducing the risk of permanent disability while improving seizure control. The same approach could eventually guide surgery for brain tumours, vascular malformations, and other conditions where preserving function is critical.

View original technical description
Successful neurosurgery for epilepsy depends on removing the parts of the brain that give rise to seizures, and avoiding damaging areas undertaking vital functions such as language, movement and vision. Current techniques to direct surgery are based on MRI scans to show brain structure, but do not show areas needed for vital tasks, and do not permit interactive simulations of placement of recording electrodes in the brain.A research group headed by Professor John Duncan at University College London and Dr Sebastien Ourselin of UCL Centre for Medical Image Computing has implemented methods to identify critical areas of brain function, connections and blood vessels and display these in 3D. They plan to develop this system to enable the neurosurgeon to plan the best operative approach for inserting recording electrodes and for planning surgical resections. This information will be made available in the MRI scan guidance system in the operating room so that operations are more precise.

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Researchers

John Duncan (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Novel multimodality imaging techniques for neurosurgical planning and stereotactic navigation in epilepsy surgery
Novel multimodality imaging techniques for neurosurgical planning and stereotactic navigation in epilepsy surgery.
Use of Autoguide and EpiNav for directing SEEG electrodes and cranial biopsies
Optimizing epilepsy surgery
Translation of novel imaging techniques into clinical use for patients with epilepsy

Original classification

Health Innovation Challenge Fund Award

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