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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.
This study is a prospective observational cohort study. It prospectively recruited 50 patients with drug-resistant epilepsy from the Epilepsy Center of the Department of Neurology at Xijing Hospital, all aged 18 years or older. It collected general information and clinical baseline data such as magnetic resonance imaging; gathered multimodal imaging data once; analyzed the characteristics of epileptogenic foci in patients with drug-resistant epilepsy; and performed statistical analysis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intractable epilepsy patients. | Based on the hybrid fusion technology of PET-fMRI-EEG, this study explores the characteristics of brain network damage in refractory epilepsy, identifies key network nodes (such as central nodes), and provides more assistance for the diagnosis of drug-resistant epilepsy. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | baseline |
| 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. | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | baseline,4weeks |
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Inclusion Criteria:
Exclusion Criteria:
4.Pregnant or lactating women; 5.Contraindications for PET, MR, EEG examinations; 6.Patients with examinations (with ferromagnetic metal implants in the body; high fever); 7.Participating in other clinical trials at the same time; 8.The patient or family withdraws the informed consent form.
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drug-resistant epilepsy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Guan Xiao | Contact | 18392320919 | guanxiao0223@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Jiang Wen | Xi Jing hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Xijing Hospital of Air Force Military Medical University | Recruiting | Xi'an | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17054693 | Background | Theodore WH, Spencer SS, Wiebe S, Langfitt JT, Ali A, Shafer PO, Berg AT, Vickrey BG. Epilepsy in North America: a report prepared under the auspices of the global campaign against epilepsy, the International Bureau for Epilepsy, the International League Against Epilepsy, and the World Health Organization. Epilepsia. 2006 Oct;47(10):1700-22. doi: 10.1111/j.1528-1167.2006.00633.x. | |
| 15804240 |
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| ID | Term |
|---|---|
| D000069279 | Drug Resistant Epilepsy |
| ID | Term |
|---|---|
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| Background |
| Forsgren L, Beghi E, Oun A, Sillanpaa M. The epidemiology of epilepsy in Europe - a systematic review. Eur J Neurol. 2005 Apr;12(4):245-53. doi: 10.1111/j.1468-1331.2004.00992.x. |
| 10660394 | Background | Kwan P, Brodie MJ. Early identification of refractory epilepsy. N Engl J Med. 2000 Feb 3;342(5):314-9. doi: 10.1056/NEJM200002033420503. |
| 33597576 | Background | Pinti P, Siddiqui MF, Levy AD, Jones EJH, Tachtsidis I. An analysis framework for the integration of broadband NIRS and EEG to assess neurovascular and neurometabolic coupling. Sci Rep. 2021 Feb 17;11(1):3977. doi: 10.1038/s41598-021-83420-9. |
| 30772238 | Background | Tremblay S, Rogasch NC, Premoli I, Blumberger DM, Casarotto S, Chen R, Di Lazzaro V, Farzan F, Ferrarelli F, Fitzgerald PB, Hui J, Ilmoniemi RJ, Kimiskidis VK, Kugiumtzis D, Lioumis P, Pascual-Leone A, Pellicciari MC, Rajji T, Thut G, Zomorrodi R, Ziemann U, Daskalakis ZJ. Clinical utility and prospective of TMS-EEG. Clin Neurophysiol. 2019 May;130(5):802-844. doi: 10.1016/j.clinph.2019.01.001. Epub 2019 Jan 19. |
| 25893383 | Background | Grouiller F, Delattre BM, Pittau F, Heinzer S, Lazeyras F, Spinelli L, Iannotti GR, Seeck M, Ratib O, Vargas MI, Garibotto V, Vulliemoz S. All-in-one interictal presurgical imaging in patients with epilepsy: single-session EEG/PET/(f)MRI. Eur J Nucl Med Mol Imaging. 2015 Jun;42(7):1133-43. doi: 10.1007/s00259-015-3045-2. Epub 2015 Apr 17. |