Treatment-resistant epilepsy
Conditions
Interventions
While recording intracranial EEG, patients are presented with images for a total of 6 minutes, followed by a few minutes to complete questionnaires before and after the presentation. This process is r
Sponsors
TOKYO WOMEN'S MEDICAL UNIVERSITY, ADACHI MEDICAL CENTER
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Patients who are scheduled to have, or have already had, intracranial electrodes implanted with the purpose of identifying the distribution of epileptic foci for surgical treatment of refractory epilepsy, and who have consented to participate in this study.
Exclusion criteria
Exclusion criteria: 1. Patients under 20 years old or over 66 years old. 2. Patients with severe intellectual disabilities who find it difficult to perform tasks. 3. Patients who are expected to have difficulty performing tasks or cooperating with the study due to complications or reduced physical strength following electrode placement surgery. 4. Other patients deemed unsuitable as study subjects by the principal investigator.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy of machine learning algorithms for predicting patient mood fluctuations | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Identification of the machine learning algorithms, brain regions, frequency bands, and biomarkers that most contribute to predicting mood fluctuations in patients. 2. Verification of the differences found in item 1 across different subjects. | — |
Countries
Japan
Contacts
Public ContactYuichi Kubota
TOKYO WOMEN'S MEDICAL UNIVERSITY, ADACHI MEDICAL CENTER Department of Neurosurgery
Outcome results
None listed