Details

Autor(en) / Beteiligte

• Dykstra, Andrew R.
• Chan, Alexander M.
• Quinn, Brian T.
• Zepeda, Rodrigo
• Keller, Corey J.
• Cormier, Justine
• Madsen, Joseph R.
• Eskandar, Emad N.
• Cash, Sydney S.

Titel

Individualized localization and cortical surface-based registration of intracranial electrodes

Ist Teil von

• NeuroImage (Orlando, Fla.), 2012-02, Vol.59 (4), p.3563-3570

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2012

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• In addition to its widespread clinical use, the intracranial electroencephalogram (iEEG) is increasingly being employed as a tool to map the neural correlates of normal cognitive function as well as for developing neuroprosthetics. Despite recent advances, and unlike other established brain-mapping modalities (e.g. functional MRI, magneto- and electroencephalography), registering the iEEG with respect to neuroanatomy in individuals—and coregistering functional results across subjects—remains a significant challenge. Here we describe a method which coregisters high-resolution preoperative MRI with postoperative computerized tomography (CT) for the purpose of individualized functional mapping of both normal and pathological (e.g., interictal discharges and seizures) brain activity. Our method accurately (within 3mm, on average) localizes electrodes with respect to an individual's neuroanatomy. Furthermore, we outline a principled procedure for either volumetric or surface-based group analyses. We demonstrate our method in five patients with medically-intractable epilepsy undergoing invasive monitoring of the seizure focus prior to its surgical removal. The straight-forward application of this procedure to all types of intracranial electrodes, robustness to deformations in both skull and brain, and the ability to compare electrode locations across groups of patients makes this procedure an important tool for basic scientists as well as clinicians. ► We describe a method for localizing intracranial electrodes in individuals. ► Post-implant CT was coregistered with pre-implant MRI. ► An optimization algorithm accounted for the brain shift caused by implantation. ► Surface-based methods were used to coregister electrode arrays across patients.