Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models

Electrocorticography
DOI: 10.1093/braincomms/fcab156 Publication Date: 2021-07-07T19:47:23Z
ABSTRACT
Abstract Brain network models derived from graph theory have the potential to guide functional neurosurgery, and improve rates of post-operative seizure freedom for patients with epilepsy. A barrier applying these clinically is that intracranial EEG electrode implantation strategies vary by centre, region country, cortical grid & strip electrodes (Electrocorticography), purely stereotactic depth (Stereo EEG), a mixture both. To determine whether one type study are broadly applicable others, we investigate differences in brain networks mapped electrocorticography stereo cohort who underwent surgery temporal lobe epilepsy achieved favourable outcome. We show define distinct relationships between resected spared tissue, which may be driven sampling bias predominantly grids. propose method correcting effect internodal distance specific explore how additional methods spatially affect models. Ultimately, find smaller surgical targets tend lower connectivity respect surrounding network, challenging notions abnormal epileptogenic zone typically high. Our findings suggest effectively computational localize epileptic requires accounting effects spatial sampling, particularly when analysing both recordings same cohort, future studies should also account focality resection ablation. relevant modelling an important step translating them into patient care.
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