Automatic and Precise Localization and Cortical Labeling of Subdural and Depth Intracranial Electrodes

Abstract

Object: Subdural or deep intracerebral electrodes are essential in order to precisely localize epileptic zone in patients with medically intractable epilepsy. Precise localization of the implanted electrodes is critical to clinical diagnosing and treatment as well as for scientific studies. In this study, we sought to automatically and precisely extract intracranial electrodes using pre-operative MRI and post-operative CT images.Method: The subdural and depth intracranial electrodes were readily detected using clustering-based segmentation. Depth electrodes were tracked by fitting a quadratic curve to account for potential bending during the neurosurgery. The identified electrodes can be manipulated using a graphic interface and labeled to cortical areas in individual native space based on anatomical parcellation and displayed in the volume and surface space.Results: The electrodes' localizations were validated with high precision. The electrode coordinates were normalized to a standard space. Moreover, the probabilistic value being to a specific area or a functional network was provided.Conclusions: We developed an integrative toolbox to reconstruct and label the intracranial electrodes implanted in the patients with medically intractable epilepsy. This toolbox provided a convenient way to allow inter-subject comparisons and relation of intracranial EEG findings to the larger body of neuroimaging literature.

Semiologic subgroups of insulo‐opercular seizures based on connectional architecture atlas

“…We have developed an integrative toolbox "FIELD" based on the MATLAB software platform to efficiently and accurately reconstructed and labeled the intracranial electrodes implanted in patients with drug‐resistant epilepsy 25 . In this toolbox, the electrode coordinates were normalized to a standard Montreal Neurological Institute (MNI) space and the probabilistic value of each contact belonging to a specified area or functional network was also provided.…”

EpiTools, A software suite for presurgical brain mapping in epilepsy: Intracerebral EEG

“…GARDEL localizes the SEEG contacts in the patient's anatomy. Unlike most existing techniques (Arnulfo et al 2015;Narizzano et al 2017;Princich et al 2013;Qin et al 2017), it relies on an automatic segmentation of each contact. Minimal user intervention is required (only for attributing the electrode names).…”

“…Currently, there isn't any software available to perform automatically such processes. Indeed, previous studies have proposed semi-automatic registration of intracranial electrodes contacts, based on Computerized tomography (CT) and Magnetic resonance imaging (MRI) images and prior information such as planed electrodes trajectory (Arnulfo et al, 2015), (Narizzano et al, 2017) or manual interactions (Princich et al, 2013), (Qin et al, 2017).…”

Hexadirectional Modulation of Theta Power in Human Entorhinal Cortex during Spatial Navigation

“…The registration was visually verified and manually adjusted if necessary. Intracranial electrodes were identified using clustering-based segmentation and classified according to anatomical landmarks in native space [49]. For visualization of all subjects' electrodes on the average brain surface, each individual subject's MRI was coregistered to the MNI space.…”