Prediction of Postoperative Speech Dysfunctions in Neurosurgery Based on Cortico-Cortical Evoked Potentials and Machine Learning Technology.

Unlabelled: Intraoperative recording of cortico-cortical evoked potentials (CCEPs) enables studying effective connections between various functional areas of the cerebral cortex. The fundamental possibility of postoperative speech dysfunction prediction in neurosurgery based on CCEP signal variations could serve as a basis to develop the criteria for the physiological permissibility of intracerebral tumors removal for maximum preservation of the patients' quality of life. was to test the possibility of predicting postoperative speech disorders in patients with glial brain tumors by using the CCEP data recorded intraoperatively before the stage of tumor resection.

Prediction of Postoperative Speech Dysfunction Based on Cortico-Cortical Evoked Potentials and Machine Learning.

The possibility of postoperative speech dysfunction prediction in neurosurgery based on intraoperative cortico-cortical evoked potentials (CCEP) might provide a new basis to refine the criteria for the extent of intracerebral tumor resection and preserve patients' quality of life. In this study, we aimed to test the quality of predicting postoperative speech dysfunction with machine learning based on the initial intraoperative CCEP before tumor removal. CCEP data were reported for 26 patients.

[Broca's area intraoperative mapping with cortico-cortical evoked potentials].

Objective: Mapping of effective speech connections between the frontal and temporal lobes with cortico-cortical evoked potentials.

Material And Methods: There were 3 patients with brain tumors in the left frontoparietal region. The neoplasms were localized in the dominant hemisphere near cortical speech centers and pathways.

[Modern views on the relationship between psychoemotional state and the bioelectrical activity of facial muscles].

The paper presents a review of the literature data reflecting the relevance and current views on the problem of facial feedback. It considers the relationship between the bioelectric activity of facial muscles and neuropsychic stress. The modern issues dedicated to the study of the correlation between the indicators assessing the tonic activity of facial muscles and psycho-emotional stress are highlighted.