mne-python intracranial electrode localization toolbox

<p>Intracranial electrophysiology is commonly recorded during and after invasive brain surgeries in epilepsy patients to determine where seizure activity starts. These recordings are also used to learn about normal brain function under various experimental conditions. The first step in analyzing intracranial electrophysiology recordings is determining the location of the electrode contacts in the coordinate frame of a subject’s T1-weighted magnetic resonance image (MRI). The subject must also have a computed tomography (CT) image taken during or after the implantation surgery. The pre-surgical MRI has better resolution of the brain anatomy than the CT, whereas the CT shows the positions of the electrode contacts. These two 3D images allow the location of the electrode contacts to be associated with anatomical brain structures. MNE-Python has existing tools for analyzing time series data recorded by intracranial electrode contacts but there is a gap in the functionality in being able to label the location of intracranial electrode contacts. The proposed project is to add a graphical user interface (GUI) that allows users to localize electrode contacts as an enhancement to MNE-Python.</p>