About this trial
The clinical investigation evaluates whether speech can be decoded from neural activity recorded with cortical surface electrocorticography (ECoG) electrodes during awake brain tumor surgery. Neural signals and voice recordings are collected while patients perform a picture naming task as part of standard intraoperative mapping. The study assesses the ability of machine learning algorithms to predict the named item from intraoperative electrophysiological recordings.
Eligibility criteria
Qualifiers
Patients 18 years of age or older.
Patients with a brain tumor requiring surgery under "awake" conditions with intraoperative placement of ECoG electrodes at Lariboisière Hospital.
Disqualifiers
Patients with severe cognitive impairments that would prevent understanding and performing the image-naming task,
Patients with major psychiatric disorders that could affect their ability to participate in the research,
Patients with inoperable tumors,
Patients with tumor locations incompatible with safe or effective placement of ECoG electrodes,
Trial design
Treatments tested in this trial
- Placement of high-density electrodes on cortical surface during awake surgery
- Placement of INBRAIN Graphene Cortical Interface on cortical surface
- Placement of low-density electodes during awake brain surgery
Treatment groups
Locations
1Sponsors and collaborators
Assistance Publique - Hôpitaux de Paris
Lead sponsor