About this trial
Using multimodal imaging technology, this study aims to explore the characteristics of epileptogenic foci in patients with drug-resistant epilepsy and identify key network nodes (such as central nodes) to provide more assistance for the diagnosis of drug-resistant epilepsy.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Aged ≥18 years old;
Meet the 2010 International League Against Epilepsy (ILAE) diagnostic criteria for drug-resistant epilepsy;
Duration of epilepsy ≥2 years, with an average seizure frequency of ≥2 times per month in the 3 months prior to enrollment;
Adequate intake of two or more anti-epileptic drugs, with no intervention in the treatment plan during the trial period;
Disqualifiers
In a state of continuous epileptic seizures;
Complicated with severe infections, cerebrovascular diseases, malignant tumors, and other diseases, accompanied by severe dysfunction of the heart, liver, kidney, or other organs, or with mental disorders, or with uncorrectable hyperglycemia, or 3.patients on long-term use of corticosteroid medications;
Trial population
drug-resistant epilepsy
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
The characteristics of hybrid imaging in patients with different types of refractory epilepsy.
Based on PET-FMRI-EEG hybrid fusion technology, explore the brain network characteristics of epilepsy patients.PET detects areas of reduced glucose metabolism, using radioactive isotopes (such as 18F-labeled fluorodeoxyglucose) to reflect the glucose metabolism of brain tissue. Typically in epilepsy patients, areas of hypometabolism may indicate the presence of epileptic foci. By using fMRI or EEG data, the synchronization of activities between different brain regions is analyzed to understand the organization and functional connectivity patterns of the brain network.
The characteristics of PET, fMRI, and EEG indicators in patients with different types of intractable epilepsy.
Using different data analysis methods to explore the characteristics of PET, fMRI, and EEG indicators in patients with various types of intractable epilepsy.The characteristics of the power spectrum of various EEG frequency bands (Delta, Theta, Alpha, Beta, Gamma waves) and brain functional connectivity.
Secondary outcomes
Quality of Life in Epilepsy 31 (QOLIE-31)
It assesses various aspects of a patient's life that can be affected by their condition, including physical, emotional, and social well-being.
Sponsors and contacts
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