epilepsy
Conditions
Interventions
Record neural activity while presenting emotion-evoking images. The procedure is as follows: - Each participant is shown 25 images from each of the three categories positive negative and neutral sele
Sponsors
Fukuoka University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Patients who are scheduled for or have undergone intracranial electrode implantation to identify the distribution of epileptic foci for surgical treatment of refractory epilepsy and have consented to participate in this study.
Exclusion criteria
Exclusion criteria: Patients meeting any of the following criteria: - Severe intellectual disability making task execution difficult - Expected difficulty in task execution or study participation due to complications or physical decline associated with electrode implantation - Deemed unsuitable as study subjects by the principal investigator
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy of machine learning algorithms for predicting patients' mood state | — |
Secondary
| Measure | Time frame |
|---|---|
| 1.Identification of the most contributing machine learning algorithms, brain regions, frequency bands, and biomarkers for predicting mood fluctuations 2.Verification of intersubject differences in key evaluation metrics | — |
Countries
Japan
Contacts
Public ContactTakashi Morishita
Fukuoka university Department of Neurosurgery, Faculty of Medicine
Outcome results
None listed