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PubMed Publications| Keyword search (4,163 papers available) |  |
"Epilepsy" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia | Heers M; Afnan J; Braun C; Grova C; Altenmüller DM; Steinhoff BJ; Dümpelmann M; Demerath T; Urbach H; Ethofer S; Siegel M; Schulze-Bonhage A; Lerche H; Li Hegner Y; | 41804684 PERFORM |
| 2 | SEC24C deficiency causes trafficking and glycosylation abnormalities in an epileptic encephalopathy with cataracts and dyserythropoeisis | Bögershausen N; Cavdarli B; Nagai T; Milev MP; Wolff A; Mehranfar M; Schmidt J; Choudhary D; Gutiérrez-Gutiérrez Ó; Cyganek L; Saint-Dic D; Zibat A; Köhrer K; Wollenweber TE; Wieczorek D; Altmüller J; Borodina T; Kaçar D; Haliloglu G; Li Y; Thiel C; Sacher M; Knapik EW; Yigit G; Wollnik B; | 40131364 BIOLOGY |
| 3 | Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology | Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B; | 39608298 SOH |
| 4 | EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy | Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C; | 38994740 SOH |
| 5 | Systematic review of seizure-onset patterns in stereo-electroencephalography: Current state and future directions | Abdallah C; Mansilla D; Minato E; Grova C; Beniczky S; Frauscher B; | 38733701 PERFORM |
| 6 | How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism | Pellegrino G; Hedrich T; Sziklas V; Lina JM; Grova C; Kobayashi E; | 34002916 PERFORM |
| 7 | Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. | Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B | 33450578 PERFORM |
| 8 | Large-scale mGluR5 network abnormalities linked to epilepsy duration in focal cortical dysplasia. | DuBois JM, Mathotaarachchi S, Rousset OG, Sziklas V, Sepulcre J, Guiot MC, Hall JA, Massarweh G, Soucy JP, Rosa-Neto P, Kobayashi E | 33401137 PERFORM |
| 9 | Source imaging of deep-brain activity using the regional spatiotemporal Kalman filter | Hamid L; Habboush N; Stern P; Japaridze N; Aydin Ü; Wolters CH; Claussen JC; Heute U; Stephani U; Galka A; Siniatchkin M; | 33250282 PERFORM |
| 10 | Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients | Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E, | 32582009 PERFORM |
| 11 | Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. | Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C | 25565949 PERFORM |
| 12 | Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy. | Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, Grova C, Kobayashi E | 25609211 PERFORM |
| 13 | Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. | von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E | 26830767 PERFORM |
| 14 | Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy. | Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E | 26931511 PERFORM |
| 15 | Source localization of the seizure onset zone from ictal EEG/MEG data. | Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C | 27059157 PERFORM |
| 16 | Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. | Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C | 29164737 PERFORM |
| 17 | Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy. | Lee K, Khoo HM, Lina JM, Dubeau F, Gotman J, Grova C | 30094158 PERFORM |
| 18 | Metabotropic Glutamate Receptor Type 5 (mGluR5) Cortical Abnormalities in Focal Cortical Dysplasia Identified In Vivo With [11C]ABP688 Positron-Emission Tomography (PET) Imaging. | DuBois JM, Rousset OG, Guiot MC, Hall JA, Reader AJ, Soucy JP, Rosa-Neto P, Kobayashi E | 27578494 PERFORM |
| Title: | Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology | ||||
| Authors: | Hrtonova V, Nejedly P, Travnicek V, Cimbalnik J, Matouskova B, Pail M, Peter-Derex L, Grova C, Gotman J, Halamek J, Jurak P, Brazdil M, Klimes P, Frauscher B | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39608298/ | ||||
| DOI: | 10.1016/j.clinph.2024.11.007 | ||||
| Publication: | Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology | ||||
| Keywords: | Binary classification; Class imbalance; Epilepsy; Epileptogenic tissue localization; Epileptogenic zone; Evaluation metrics; Intracranial electroencephalography; Machine learning; Seizure onset zone; | ||||
| PMID: | 39608298 | Category: | Date Added: | 2024-11-29 | |
| Dept Affiliation: |
SOH
1 First Department of Neurology, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic; Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic; Department of Neurology, Duke University School of Medicine, 2424 Erwin Rd, Durham, NC 27705, the United States of America. 2 First Department of Neurology, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic; Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic. 3 Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic; International Clinical Research Center, St. Anne's University Hospital, Pekarska 53, 602 00 Brno, Czech Republic. 4 International Clinical Research Center, St. Anne's University Hospital, Pekarska 53, 602 00 Brno, Czech Republic. 5 Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital, member of ERN-EpiCARE, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic. 6 Center for Sleep Medicine, Lyon University Hospital, Lyon 1 University, 103 Grande Rue de la Croix-Rousse, 69004 Lyon, France; Lyon Neuroscience Research Center, CH Le Vinatier - Batiment 462 - Neurocampus, 95 Bd Pinel, 69500 Lyon, France. 7 Multimodal Functional Imaging Lab, Department of Physics and Concordia School of Health, Concordia University and Biomedical Engineering Department, McGill University, Montreal Neurological Hospital, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6. 8 Montreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Quebec, Canada. 9 Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic. 10 Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital, member of ERN-EpiCARE, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic; Behavioral and Social Neuroscience Research Group, CEITEC Central European Institute of Technology, Masaryk University, Zerotinovo nám 617/9, 601 77 Brno, Czech Republic. 11 Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic. Electronic address: petr.klimes@isibrno.cz. 12 Montreal Neurological Hospital, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Quebec, Canada; Department of Neurology, Duke University Medical School and Department of Biomedical Engineering, Pratt School of Engineering, 2424 Erwin Road, Durham, NC 27705, the United States of America. Electronic address: birgit.frauscher@duke.edu. |
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Description: |
Introduction: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack of standardized evaluation guidelines hinder the consistent evaluation of automatic machine learning localization models. Methods: This study addresses these challenges by analyzing class imbalance in clinical datasets and evaluating common assessment metrics. Data from 139 drug-resistant epilepsy patients across two Institutions were analyzed. Metric behaviors were examined using clinical and simulated data. Results: Complementary use of Area Under the Receiver Operating Characteristic (AUROC) and Area Under the Precision-Recall Curve (AUPRC) provides an optimal evaluation approach. This must be paired with an analysis of class imbalance and its impact due to significant variations found in clinical datasets. Conclusions: The proposed framework offers a comprehensive and reliable method for evaluating machine learning models in epileptogenic zone localization, improving their precision and clinical relevance. Significance: Adopting this framework will improve the comparability and multicenter testing of machine learning models in epileptogenic zone localization, enhancing their reliability and ultimately leading to better surgical outcomes for epilepsy patients. |
