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Tenney J, Fujiwara H, Skoch J, Horn P, Hong S, Lee O, Kremer K, Arya R, Holland K, Mangano F, Greiner H. User-defined virtual sensors: A new solution to the problem of temporal plus epilepsy sources. Epilepsia 2025; 66:1071-1083. [PMID: 39740248 PMCID: PMC11999793 DOI: 10.1111/epi.18247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 12/16/2024] [Accepted: 12/16/2024] [Indexed: 01/02/2025]
Abstract
OBJECTIVE The most common medically resistant epilepsy (MRE) involves the temporal lobe (TLE), and children designated as temporal plus epilepsy (TLE+) have a five-times increased risk of postoperative surgical failure. This retrospective, blinded, cross-sectional study aimed to correlate visual and computational analyses of magnetoencephalography (MEG) virtual sensor waveforms with surgical outcome and epilepsy classification (TLE and TLE+). METHODS Patients with MRE who underwent MEG and iEEG monitoring and had at least 1 year of postsurgical follow-up were included in this retrospective analysis. User-defined virtual sensor (UDvs) beamforming was completed with virtual sensors placed manually and symmetrically in the bilateral amygdalohippocampi, inferior/middle/superior temporal gyri, insula, suprasylvian operculum, orbitofrontal cortex, and temporoparieto-occipital junction. Additionally, MEG effective connectivity was computed and quantified using eigenvector centrality (EC) to identify hub regions. More conventional MEG methods (equivalent current dipole [ECD], standardized low-resolution brain electromagnetic tomography, synthetic aperture magnetometry beamformer), UDvs beamformer, and EC hubs were compared to iEEG. RESULTS Eighty patients (38 female, 42 male) with MRE (mean age = 11.3 ± 6.2 years, range = 1.0-31.5) were identified and included. Twenty-five patients (31.3%) were classified as TLE, whereas 55 (68.8%) were TLE+. When modeling the association between MEG method, iEEG, and postoperative surgical outcome (odds of a worse [International League Against Epilepsy (ILAE) class > 2] outcome), a significant result was seen only for UDvs beamformer (odds ratio [OR] = 1.22, 95% confidence interval [CI] = 1.01-1.48). Likewise, when the relationship between MEG method, iEEG, and classification (TLE and TLE+) was modeled, only UDvs beamformer had a significant association (OR = 1.47, 95% CI = 1.13-1.92). When modeling the association between EC hub location and resection/ablation to postoperative surgical outcome (odds of a good [ILAE 1-2] outcome), a significant association was seen (OR = 1.22, 95% CI = 1.05-1.43). SIGNIFICANCE This study demonstrates a concordance between UDvs beamforming and iEEG that is related to both postsurgical seizure outcome and presurgical classification of epilepsy (TLE and TLE+). UDvs beamforming could be a complementary approach to the well-established ECD, improving invasive electrode and surgical resection planning for patients undergoing epilepsy surgery evaluations and treatments.
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Affiliation(s)
- Jeffrey Tenney
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Hisako Fujiwara
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jesse Skoch
- Division of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Paul Horn
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Seungrok Hong
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Olivia Lee
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Kelly Kremer
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Ravindra Arya
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Katherine Holland
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Francesco Mangano
- Division of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Hansel Greiner
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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Jean S, Jiang R, Dai Y, Chen W, Liu W, Deng D, Tagu PT, Wei X, Chen S, Fang X, Song S. Change in Structural Connectivity Following Stereotactic Thermocoagulation in Mesial Temporal Lobe Epilepsy Patients. Eur J Neurol 2025; 32:e70153. [PMID: 40256975 PMCID: PMC12010210 DOI: 10.1111/ene.70153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 02/20/2025] [Accepted: 04/01/2025] [Indexed: 04/22/2025]
Abstract
AIMS To examine the association between postoperative lesions in distinct ROIs of the brain and the impact that their ablation would have on the structural and functional brain connectivity relative to outcomes. METHODS We retrospectively reviewed 21 patients with refractory unilateral MTLE. The percentage of each ablated gray matter region of interest (ROIs) was calculated, using a voxel-by-voxel comparison. The percentage of the affected fibers was calculated by assessing the neuronal change reflected by a decrease in anisotropy in the repeat scans (i.e., pre and postoperative). Graph theory analysis was used to investigate the change in the pre and postoperative structural and functional networks between the seizure-free and non-seizure-free groups. RESULTS Fifteen patients (71.42%) were seizure-free and six (28.57%) were non-seizure-free at a 12 to 48 months (23.80 ± 8.93) follow-up. Four patients (19.04%) reported memory decline following RFTC. The seizure-free group showed a larger ablation volume of both the amygdala (p = 0.024) and rhinal cortex (p = 0.035), and an alteration in structural connectivity networks metrics (p < 0.05) compared to the non-seizure-free group. CONCLUSIONS Our study shows that a higher ablation of both the amygdala and rhinal cortex led to improved structural connectivity and was associated with better outcomes. Our results provide insight into some essential elements of brain connectivity networks in MTLE and might contribute to the generation of novel evidence that could improve SEEG-guided RFTC interventions in MTLE patients.
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Affiliation(s)
- Stéphane Jean
- Pediatric Epilepsy CenterFujian Medical University Fuzhou Children's HospitalFuzhouChina
| | - Rifeng Jiang
- Department of RadiologyFujian Medical University Union HospitalFuzhouChina
| | - Yihai Dai
- Department of NeurosurgeryFujian Medical University Union HospitalFuzhouChina
| | - Weitao Chen
- Pediatric Epilepsy CenterFujian Medical University Fuzhou Children's HospitalFuzhouChina
| | - Weihong Liu
- Pediatric Epilepsy CenterFujian Medical University Fuzhou Children's HospitalFuzhouChina
| | - Donghuo Deng
- Fujian Medical University Union HospitalFuzhouChina
| | | | - Xiaoqiang Wei
- Department of NeurosurgeryFujian Medical University Union HospitalFuzhouChina
| | - Shan Chen
- Pediatric Epilepsy CenterFujian Medical University Fuzhou Children's HospitalFuzhouChina
| | - Xinrong Fang
- Department of NeurosurgeryFujian Medical University Union HospitalFuzhouChina
| | - Shiwei Song
- Department of NeurosurgeryFujian Medical University Union HospitalFuzhouChina
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Ivankovic K, Principe A, Montoya-Gálvez J, Manubens-Gil L, Zucca R, Villoslada P, Dierssen M, Rocamora R. A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction. Neuroimage 2025; 306:120990. [PMID: 39733864 DOI: 10.1016/j.neuroimage.2024.120990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 12/25/2024] [Accepted: 12/27/2024] [Indexed: 12/31/2024] Open
Abstract
The rate of success of epilepsy surgery, ensuring seizure-freedom, is limited by the lack of epileptogenicity biomarkers. Previous evidence supports the critical role of functional connectivity during seizure generation to characterize the epileptogenic network (EN). However, EN dynamics is highly variable across patients, hindering the development of diagnostic biomarkers. Without relying on specific connectivity variables, we focused on a general hypothesis that the EN undergoes the greatest magnitude of connectivity change during seizure generation, compared to other brain networks. To test this hypothesis, we developed a novel method for quantifying connectivity change between network states and applied it to identify surgical resection areas. A network state was represented by random snapshots of connectivity within a defined time interval of an intracranial EEG recording. A binary classifier was applied to classify two network states. The classifier generalization performance estimated by cross-validation was employed as a continuous measure of connectivity change. The algorithm generated a network by iteratively adding nodes until the connectivity change magnitude decreased. The resulting network was compared to the surgical resection, and the overlap score was used to predict post-surgical outcomes. The framework was evaluated in a consecutive cohort of 21 patients with a post-surgical follow-up of minimum 3 years. The best overlap between connectivity change networks and resections was obtained at the transition from pre-seizure to seizure (surgical outcome prediction ROC-AUC=90.3 %). However, all patients except one were correctly classified when considering the most informative time intervals. Time intervals proportional to seizure length were more informative than the almost universally used fixed intervals. This study demonstrates that connectivity can be successfully classified with a machine learning analysis and provide information for distinguishing a separate epileptogenic functional network. In summary, the connectivity change analysis could accurately identify epileptogenic networks validated by surgery outcome classification. Connectivity change magnitude at seizure transition could potentially serve as an EN biomarker. The tool provided by this study may aid surgical decision-making.
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Affiliation(s)
- Karla Ivankovic
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Alessandro Principe
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain; Epilepsy Unit - Neurology Dept. Hospital del Mar, 08003 Barcelona, Spain.
| | | | - Linus Manubens-Gil
- New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, State Key Laboratory of Digital Medical Engineering, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China
| | - Riccardo Zucca
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Radboud University, Nijmegen, the Netherlands
| | - Pablo Villoslada
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Mara Dierssen
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST) 08003 Barcelona, Spain; Biomedical Research Networking Center on Rare Diseases (CIBERER), Barcelona, Spain
| | - Rodrigo Rocamora
- Hospital del Mar Research Institute, 08003 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain; Epilepsy Unit - Neurology Dept. Hospital del Mar, 08003 Barcelona, Spain
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Fadaie F, Caldairou B, Gill RS, Foit NA, Hall JA, Bernhardt BC, Bernasconi N, Bernasconi A. Region-specific MRI predictors of surgical outcome in temporal lobe epilepsy. Neuroimage Clin 2024; 43:103658. [PMID: 39178601 PMCID: PMC11388716 DOI: 10.1016/j.nicl.2024.103658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 08/18/2024] [Accepted: 08/19/2024] [Indexed: 08/26/2024]
Abstract
OBJECTIVE In drug-resistant temporal lobe epilepsy (TLE), it is not well-established in how far surgery should target morphological anomalies to achieve seizure freedom. Here, we assessed interactions between structural brain compromise and surgery to identify region-specific predictors of seizure outcome. METHODS We obtained pre- and post-operative 3D T1-weighted MRI in 55 TLE patients who underwent selective amygdalo-hippocampectomy (SAH) or anterior temporal lobectomy (ATL) and 40 age and sex-matched healthy subjects. We measured surface-based morphological alterations of the mesiotemporal lobe structures (hippocampus, amygdala, entorhinal and piriform cortices), the neocortex and the thalamus on both pre- and post-operative MRI. Using precise co-registration, in each patient we mapped the surgical cavity onto the MRI acquired before surgery, thereby quantifying the amount of pathological tissue resected; these features, together with the preoperative morphometric data, served as input to a supervised classification algorithm for postsurgical outcome prediction. RESULTS On pre-operative MRI, patients who became seizure-free (TLE-SF) presented with severe ipsilateral amygdalar and hippocampal atrophy, while not seizure-free patients (TLE-NSF) displayed amygdalar hypertrophy. Stratifying patients based on the surgical approach, post-operative MRI showed similar patterns of mesiotemporal and thalamic changes, but divergent neocortical thinning affecting the parieto-temporo-occipital regions following ATL and the frontal lobes after SAH. Irrespective of the surgical approach, hippocampal atrophy on pre-operative MRI and its extent of resection were the most predictive features of seizure-freedom in 89% of patients (selected 100% across validations). SIGNIFICANCE Our study indicates a critical role of the extent of resection of MRI-derived hippocampal morphological anomalies on seizure outcome. Precise pre-operative quantification of the mesiotemporal lobe provides non-invasive prognostics for individualized surgery.
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Affiliation(s)
- Fatemeh Fadaie
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Benoit Caldairou
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Ravnoor S Gill
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Niels A Foit
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; Freiburg Medical Center, Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Jeffery A Hall
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
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Guo K, Quan Z, Li G, Li B, Kang F, Wang J. Decomposed FDG PET-based phenotypic heterogeneity predicting clinical prognosis and decision-making in temporal lobe epilepsy patients. Neurol Sci 2024; 45:3961-3969. [PMID: 38457084 DOI: 10.1007/s10072-024-07431-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/27/2024] [Indexed: 03/09/2024]
Abstract
OBJECTIVE This study utilized a data-driven Bayesian model to automatically identify distinct latent disease factors represented by overlapping glucose metabolism patterns from 18F-Fluorodeoxyglucose PET (18F-FDG PET) to analyze heterogeneity among patients with TLE. METHODS We employed unsupervised machine learning to estimate latent disease factors from 18F-FDG PET scans, representing whole-brain glucose metabolism patterns in seventy patients with TLE. We estimated the extent to which multiple distinct factors were expressed within each participant and analyzed their relevance to epilepsy burden, including seizure onset, duration, and frequency. Additionally, we established a predictive model for clinical prognosis and decision-making. RESULTS We identified three latent disease factors: hypometabolism in the unilateral temporal lobe and hippocampus (factor 1), hypometabolism in bilateral prefrontal lobes (factor 2), and hypometabolism in bilateral temporal lobes (factor 3), variably co-expressed within each patient. Factor 3 demonstrated the strongest negative correlation with the age of onset and duration (r = - 0.33, - 0.38 respectively, P < 0.05). The supervised classifier, trained on latent disease factors for predicting patient-specific antiepileptic drug (AED) responses, achieved an area under the curve (AUC) of 0.655. For post-surgical seizure outcomes, the AUC was 0.857, and for clinical decision-making, it was 0.965. CONCLUSIONS Decomposing 18F-FDG PET-based phenotypic heterogeneity facilitates individual-level predictions relevant to disease monitoring and personalized therapeutic strategies.
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Affiliation(s)
- Kun Guo
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Zhiyong Quan
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Guiyu Li
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Baojuan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Fei Kang
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
| | - Jing Wang
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
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Castellano JF, Singla S, Barot N, Aronson JP. Stereoelectroencephalography-Guided Radiofrequency Thermocoagulation: Diagnostic and Therapeutic Implications. Brain Sci 2024; 14:110. [PMID: 38391685 PMCID: PMC10887298 DOI: 10.3390/brainsci14020110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 01/15/2024] [Accepted: 01/21/2024] [Indexed: 02/24/2024] Open
Abstract
Despite recent medical therapeutic advances, approximately one third of patients do not attain seizure freedom with medications. This drug-resistant epilepsy population suffers from heightened morbidity and mortality. In appropriate patients, resective epilepsy surgery is far superior to continued medical therapy. Despite this efficacy, there remain drawbacks to traditional epilepsy surgery, such as the morbidity of open neurosurgical procedures as well as neuropsychological adverse effects. SEEG-guided Radiofrequency Thermocoagulation (SgRFTC) is a minimally invasive, electrophysiology-guided intervention with both diagnostic and therapeutic implications for drug-resistant epilepsy that offers a convenient adjunct or alternative to ablative and resective approaches. We review the international experience with this procedure, including methodologies, diagnostic benefit, therapeutic benefit, and safety considerations. We propose a framework in which SgRFTC may be incorporated into intracranial EEG evaluations alongside passive recording. Lastly, we discuss the potential role of SgRFTC in both delineating and reorganizing epilepsy networks.
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Affiliation(s)
- James F Castellano
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Shobhit Singla
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Niravkumar Barot
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Joshua P Aronson
- Department of Neurosurgery, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
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Kong Y, Cheng N, Qiu FJ, Yao L, Gao M, Chen AQ, Kong QX, Zhang GQ. Application value of multimodal MRI combined with PET metabolic parameters in temporal lobe epilepsy with dual pathology. Eur J Radiol 2023; 169:111171. [PMID: 38250750 DOI: 10.1016/j.ejrad.2023.111171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/03/2023] [Accepted: 10/24/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVES To investigate the application value of multimodal MRI combined with PET metabolic parameters in detecting temporal lobe epilepsy (TLE) with dual pathology (DP) and the prediction effect of post-surgical outcomes in these patients. METHODS We retrospectively reviewed 50 patients with TLE-DP who underwent surgery at our hospital between January 2016 and December 2021 and collected the demographics, clinical characteristics, video-electroencephalography (v-EEG), neuroimaging, and surgical data. Seizure outcome data were collected during a regular follow-up of at least 12 months and were graded using Engel scores. Fisher's exact test was used to compare the differences in DP detection rates of various diagnostic modalities. Univariate and multivariate analyses were performed to explore the prognostic factors for predicting seizure outcomes post-surgery. RESULTS Of the 50 patients, 20 were males. The median age was 30, the median age at first seizure was 14, and the median duration was ten years. Voxel-based morphometry-PET statistical parametric mapping-PET/MRI (VBM-PSPM-PET/MRI) had the highest detection rate, followed by PET/MRI, VBM analysis, and PET-SPM. Regardless of follow-up duration, v-EEG, PET, image post-processing methods, and VBM-PSPM-PET/MRI statistically correlated with seizure outcomes using the log-rank test in the Kaplan-Meier analysis. Multivariate analysis showed that VBM-PSPM-PET/MRI was an independent predictor of TLE-DP (hazard ratio (HR) = 15.674, 95 % CI = 0.002-0.122, P < 0.00 1). CONCLUSIONS Our study illustrates that VBM-PSPM-PET/MRI has the highest detection value in patients with TLE-DP and can provide independent prognostic information for patients who undergo surgery. This approach has the most substantial potential for the selection of candidates for patients who undergo surgical treatment and for prognostic stratification.
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Affiliation(s)
- Yu Kong
- Medical Imaging Department, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China; College of Materials Science and Engineering, Qingdao University, Qingdao 266071, Shandong, China
| | - Nan Cheng
- Medical Imaging Department, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China
| | - Feng-Juan Qiu
- Department of Pediatric Rehabilitation, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China
| | - Lei Yao
- Clinical Medical College, Jining Medical University, Jining 272067, Shandong, China
| | - Ming Gao
- Medical Imaging Department, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China
| | - An-Qiang Chen
- Medical Imaging Department, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China
| | - Qing-Xia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China.
| | - Gu-Qing Zhang
- Medical Imaging Department, Affiliated Hospital of Jining Medical University, Jining 272029, Shandong, China.
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Kim J, Kang JK, Lee SA, Hong SH. Combined Depth and Subdural Electrodes for Lateralization of the Ictal Onset Zone in Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis. Brain Sci 2023; 13:1547. [PMID: 38002507 PMCID: PMC10669380 DOI: 10.3390/brainsci13111547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/25/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
(1) Objective: This study aimed to explore the efficacy of conventional invasive techniques in confirming unilateral seizure onset localization in mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) and to investigate the association between electrode type and intracranial electroencephalography (EEG) pattern. (2) Methods: This retrospective study encompasses patients diagnosed with MTLE-HS who underwent an invasive study prior to an anterior temporal lobectomy (ATL). Intracranial EEG features were assessed for 99 seizure events from 25 selected patients who achieved seizure remission with ATL after an invasive study using bilateral combined depth and subdural electrodes. Their findings were compared to those of 21 seizure events in eight patients who exhibited suboptimal seizure outcomes. (3) Results: For the distribution of electrodes that recorded the ictal onset, hippocampal depth electrodes recorded 96% of all seizure events, while subdural electrodes recorded 52%. Among the seizures recorded in subdural electrodes, 49% were localized in medial electrodes, with only 8% occurring in lateral electrodes. The initiation of seizures exclusively detected in hippocampal depth electrodes was associated with successful seizure remission, whereas those solely recorded in the lateral strip electrodes were often linked to refractory seizures after ATL. (4) Conclusions: These findings emphasize the importance of employing a combination of depth and subdural electrodes in invasive studies for patients with MTLE-HS to enhance the accuracy of lateralization. This also cautions against sole reliance on subdural electrodes without depth electrodes, which could lead to inaccurate localization.
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Affiliation(s)
- Junhyung Kim
- Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea;
| | - Joong Koo Kang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea (S.A.L.)
- Ace Neurology Clinic, Seoul 05616, Republic of Korea
| | - Sang Ahm Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea (S.A.L.)
| | - Seok Ho Hong
- Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea;
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Jehi L, Jette N, Kwon CS, Josephson CB, Burneo JG, Cendes F, Sperling MR, Baxendale S, Busch RM, Triki CC, Cross JH, Ekstein D, Englot DJ, Luan G, Palmini A, Rios L, Wang X, Roessler K, Rydenhag B, Ramantani G, Schuele S, Wilmshurst JM, Wilson S, Wiebe S. Timing of referral to evaluate for epilepsy surgery: Expert Consensus Recommendations from the Surgical Therapies Commission of the International League Against Epilepsy. Epilepsia 2022; 63:2491-2506. [PMID: 35842919 PMCID: PMC9562030 DOI: 10.1111/epi.17350] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/25/2022] [Accepted: 06/27/2022] [Indexed: 11/26/2022]
Abstract
Epilepsy surgery is the treatment of choice for patients with drug-resistant seizures. A timely evaluation for surgical candidacy can be life-saving for patients who are identified as appropriate surgical candidates, and may also enhance the care of nonsurgical candidates through improvement in diagnosis, optimization of therapy, and treatment of comorbidities. Yet, referral for surgical evaluations is often delayed while palliative options are pursued, with significant adverse consequences due to increased morbidity and mortality associated with intractable epilepsy. The Surgical Therapies Commission of the International League Against Epilepsy (ILAE) sought to address these clinical gaps and clarify when to initiate a surgical evaluation. We conducted a Delphi consensus process with 61 epileptologists, epilepsy neurosurgeons, neurologists, neuropsychiatrists, and neuropsychologists with a median of 22 years in practice, from 28 countries in all six ILAE world regions. After three rounds of Delphi surveys, evaluating 51 unique scenarios, we reached the following Expert Consensus Recommendations: (1) Referral for a surgical evaluation should be offered to every patient with drug-resistant epilepsy (up to 70 years of age), as soon as drug resistance is ascertained, regardless of epilepsy duration, sex, socioeconomic status, seizure type, epilepsy type (including epileptic encephalopathies), localization, and comorbidities (including severe psychiatric comorbidity like psychogenic nonepileptic seizures [PNES] or substance abuse) if patients are cooperative with management; (2) A surgical referral should be considered for older patients with drug-resistant epilepsy who have no surgical contraindication, and for patients (adults and children) who are seizure-free on 1-2 antiseizure medications (ASMs) but have a brain lesion in noneloquent cortex; and (3) referral for surgery should not be offered to patients with active substance abuse who are noncooperative with management. We present the Delphi consensus results leading up to these Expert Consensus Recommendations and discuss the data supporting our conclusions. High level evidence will be required to permit creation of clinical practice guidelines.
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Affiliation(s)
- Lara Jehi
- Epilepsy Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Nathalie Jette
- Department of Neurology and Department of Population Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Churl-Su Kwon
- Department of Neurology, Epidemiology, Neurosurgery and the Gertrude H. Sergievsky Center, Columbia University, New York, USA
| | - Colin B Josephson
- Department of Clinical Neurosciences and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Jorge G. Burneo
- Department of Clinical Neurological Sciences and NeuroEpidemiology Unit, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Fernando Cendes
- Department of Neurology, University of Campinas, Campinas, Brazil
| | | | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Robyn M. Busch
- Epilepsy Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Chahnez Charfi Triki
- Department of Child Neurology, Hedi Chaker Hospital, LR19ES15 Sfax University, Sfax, Tunisia
| | - J Helen Cross
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Dana Ekstein
- Department of Neurology, Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Organization, Jerusalem, Israel
| | - Dario J Englot
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Guoming Luan
- Department of Neurosurgery, Comprehensive Epilepsy Center, Sanbo Brain Hospital, Capital Medical University; Beijing Key Laboratory of Epilepsy; Epilepsy Institution, Beijing Institute for Brain Disorders, Beijing, China
| | - Andre Palmini
- Neurosciences and Surgical Departments, School of Medicine, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Loreto Rios
- Clínica Integral de Epilepsia, Campus Clínico Facultad de Medicina Universidad Finis Terrae, Santiago, Chile
| | - Xiongfei Wang
- Department of Neurosurgery, Comprehensive Epilepsy Center, Sanbo Brain Hospital, Capital Medical University; Beijing Key Laboratory of Epilepsy; Epilepsy Institution, Beijing Institute for Brain Disorders, Beijing, China
| | - Karl Roessler
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Bertil Rydenhag
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Georgia Ramantani
- Department of Neuropediatrics, and University Children’s Hospital Zurich, Switzerland, University of Zurich, Switzerland
| | - Stephan Schuele
- Department of Neurology, Northwestern University, Chicago, Illinois, USA
| | - Jo M Wilmshurst
- Department of Pediatric Neurology, Red Cross War Memorial Children’s Hospital, Cape Town, South Africa; Institute of Neurosciences, University of Cape Town, South Africa
| | - Sarah Wilson
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Vic., Australia
| | - Samuel Wiebe
- Department of Clinical Neurosciences and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
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10
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Gonzalez-Martinez JA, Abou-Al-Shaar H, Mallela AN, McDowell MM, Henry L, Fernandes Cabral DT, Sweat J, Urban A, Fong J, Barot N, Castellano JF, Rajasekaran V, Bagic A, Snyderman CH, Gardner PA. The endoscopic anterior transmaxillary temporal pole approach for mesial temporal lobe epilepsies: a feasibility study. J Neurosurg 2022; 138:992-1001. [PMID: 36087323 DOI: 10.3171/2022.7.jns221062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/15/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In mesial temporal lobe epilepsy (MTLE), the ideal surgical approach to achieve seizure freedom and minimize morbidity is an unsolved question. Selective approaches to mesial temporal structures often result in suboptimal seizure outcomes. The authors report the results of a pilot study intended to evaluate the clinical feasibility of using an endoscopic anterior transmaxillary (eATM) approach for minimally invasive management of MTLEs. METHODS The study is a prospectively collected case series of four consecutive patients who underwent the eATM approach for the treatment of MTLE and were followed for a minimum of 12 months. All participants underwent an epilepsy workup and surgical care at a tertiary referral comprehensive epilepsy center and had medically refractory epilepsy. The noninvasive evaluations and intracranial recordings of these patients confirmed the presence of anatomically restricted epileptogenic zones located in the mesial temporal structures. Data on seizure freedom at 1 year, neuropsychological outcomes, diffusion tractography, and adverse events were collected and analyzed. RESULTS By applying the eATM technique and approaching the far anterior temporal lobe regions, mesial-basal resections of the temporal polar areas and mesial temporal structures were successfully achieved in all patients (2 with left-sided approaches, 2 with right-sided approaches). No neurological complications or neuropsychological declines were observed. All 4 patients achieved Engel class Ia outcome up to the end of the follow-up period (19, 15, 14, and 12 months). One patient developed hypoesthesia in the left V2 distribution but there were no other adverse events. The low degree of white matter injury from the eATM approach was analyzed using high-definition fiber tractography in 1 patient as a putative mechanism for preserving neuropsychological function. CONCLUSIONS The described series demonstrates the feasibility and potential safety profile of a novel approach for medically refractory MTLE. The study affirms the feasibility of performing efficacious mesial temporal lobe resections through an eATM approach.
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Affiliation(s)
- Jorge A Gonzalez-Martinez
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,Departments of3Neurological Surgery
| | | | | | | | | | | | | | - Alexandra Urban
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,4Neurology, and
| | - Joanna Fong
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,4Neurology, and
| | - Niravkumar Barot
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,4Neurology, and
| | - James F Castellano
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,4Neurology, and
| | | | - Anto Bagic
- 1Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh.,4Neurology, and
| | - Carl H Snyderman
- 2Skull Base Center, University of Pittsburgh Medical Center, Pittsburgh; and.,5Otorhinolaryngology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Paul A Gardner
- 2Skull Base Center, University of Pittsburgh Medical Center, Pittsburgh; and.,Departments of3Neurological Surgery
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11
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Sugano H, Iimura Y, Suzuki H, Tamrakar S, Mitsuhashi T, Higo T, Ueda T, Nishioka K, Karagiozov K, Nakajima M. Can intraoperative electrocorticography be used to minimize the extent of resection in patients with temporal lobe epilepsy associated with hippocampal sclerosis? J Neurosurg 2022; 137:419-426. [PMID: 34861650 DOI: 10.3171/2021.9.jns211925] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/21/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Tailored surgery to extensively resect epileptogenic lesions using intraoperative electrocorticography (ioECoG) may improve seizure outcomes. However, resection of large areas is associated with decreased memory function postoperatively. The authors assessed whether ioECoG could provide useful information on how to minimize the focus resection and obtain better seizure outcomes without memory deterioration. They examined the postoperative seizure-free period and memory alteration in a retrospective cohort of patients with mesial temporal lobe epilepsy (TLE) due to hippocampal sclerosis (HS) in whom the extent of removal was determined using ioECoG findings. METHODS The authors enrolled 82 patients with TLE associated with HS who were treated surgically. Transsylvian amygdalohippocampectomy was indicated as the first step. When visual inspection identified interictal epileptic discharges from the lateral temporal lobe on ioECoG, anterior temporal lobectomy (ATL) was eventually performed. The patients were divided into the selective amygdalohippocampectomy (SA, n = 40) and ATL (n = 42) groups. Postoperative seizure outcomes were assessed at 1, 2, 3, 5, and 7 years postoperatively using the International League Against Epilepsy classification. The Kaplan-Meier survival analysis was applied to evaluate the period of seizure recurrence between the SA and ATL groups. Factors attributed to seizure recurrence were analyzed using the Cox proportional hazards model, and they were as follows: epileptic focal laterality; age at seizure onset (< 10 or ≥ 10 years old); seizure frequency (more than weekly or less than weekly seizures); history of focal to bilateral tonic-clonic seizure; infectious etiology; and surgical procedure. The Wechsler Memory Scale-Revised was used to evaluate memory function pre- and postoperatively. RESULTS Seizure outcomes were significantly worse in the SA group than in the ATL group at 2 years postoperatively (p = 0.045). The International League Against Epilepsy class 1 outcomes at 7 years postoperatively in the SA and ATL groups were 63% and 81%, respectively. Kaplan-Meier analysis showed that seizure recurred significantly earlier in the SA group than in the ATL group (p = 0.031). The 2-way ANOVA analysis was used to compare the SA and ATL groups in each memory category, and revealed that there was no significant difference regardless of the side of surgery. CONCLUSIONS Visual assessment of ioECoG cannot be used as an indicator to minimize epileptic focus resection in patients with TLE associated with HS. ATL is more effective in obtaining seizure-free outcomes; however, both ATL and SA can preserve memory function.
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12
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Gleichgerrcht E, Drane DL, Keller SS, Davis KA, Gross R, Willie JT, Pedersen N, de Bezenac C, Jensen J, Weber B, Kuzniecky R, Bonilha L. Association Between Anatomical Location of Surgically Induced Lesions and Postoperative Seizure Outcome in Temporal Lobe Epilepsy. Neurology 2022; 98:e141-e151. [PMID: 34716254 PMCID: PMC8762583 DOI: 10.1212/wnl.0000000000013033] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 10/21/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND AND OBJECTIVES To determine the association between surgical lesions of distinct gray and white structures and connections with favorable postoperative seizure outcomes. METHODS Patients with drug-resistant temporal lobe epilepsy (TLE) from 3 epilepsy centers were included. We employed a voxel-based and connectome-based mapping approach to determine the association between favorable outcomes and surgery-induced temporal lesions. Analyses were conducted controlling for multiple confounders, including total surgical resection/ablation volume, hippocampal volumes, side of surgery, and site where the patient was treated. RESULTS The cohort included 113 patients with TLE (54 women; 86 right-handed; mean age at seizure onset 16.5 years [SD 11.9]; 54.9% left) who were 61.1% free of disabling seizures (Engel Class 1) at follow-up. Postoperative seizure freedom in TLE was associated with (1) surgical lesions that targeted the hippocampus as well as the amygdala-piriform cortex complex and entorhinal cortices; (2) disconnection of temporal, frontal, and limbic regions through loss of white matter tracts within the uncinate fasciculus, anterior commissure, and fornix; and (3) functional disconnection of the frontal (superior and middle frontal gyri, orbitofrontal region) and temporal (superior and middle pole) lobes. DISCUSSION Better postoperative seizure freedom is associated with surgical lesions of specific structures and connections throughout the temporal lobes. These findings shed light on the key components of epileptogenic networks in TLE and constitute a promising source of new evidence for future improvements in surgical interventions. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that for patients with TLE, postoperative seizure freedom is associated with surgical lesions of specific temporal lobe structures and connections.
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Affiliation(s)
- Ezequiel Gleichgerrcht
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY.
| | - Daniel L Drane
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Simon S Keller
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Kathryn A Davis
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Robert Gross
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Jon T Willie
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Nigel Pedersen
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Christophe de Bezenac
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Jens Jensen
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Bernd Weber
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Ruben Kuzniecky
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
| | - Leonardo Bonilha
- From the Department of Neurology (E.G., L.B.) and Center for Biomedical Imaging (J.J.), Medical University of South Carolina, Charleston; Department of Neurology (D.L.D., N.P.), Emory University, Atlanta, GA; Institute of Systems, Molecular and Integrative Biology (S.S.K., C.d.B.), University of Liverpool; The Walton Centre NHS Foundation Trust (S.S.K.), Liverpool, UK; Department of Neurology (K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurosurgery (R.G., J.T.W.), Emory University, Atlanta, GA; Department of Neurological Surgery (J.T.W.), Washington University in St. Louis, MO; and Department of Neurology (R.K.), Hofstra University/Northwell, NY
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13
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Li A, Huynh C, Fitzgerald Z, Cajigas I, Brusko D, Jagid J, Claudio AO, Kanner AM, Hopp J, Chen S, Haagensen J, Johnson E, Anderson W, Crone N, Inati S, Zaghloul KA, Bulacio J, Gonzalez-Martinez J, Sarma SV. Neural fragility as an EEG marker of the seizure onset zone. Nat Neurosci 2021; 24:1465-1474. [PMID: 34354282 PMCID: PMC8547387 DOI: 10.1038/s41593-021-00901-w] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
Over 15 million patients with epilepsy worldwide do not respond to drugs. Successful surgical treatment requires complete removal or disconnection of the seizure onset zone (SOZ), brain region(s) where seizures originate. Unfortunately, surgical success rates vary between 30 and 70% because no clinically validated biological marker of the SOZ exists. We develop and retrospectively validate a new electroencephalogram (EEG) marker-neural fragility-in a retrospective analysis of 91 patients by using neural fragility of the annotated SOZ as a metric to predict surgical outcomes. Fragility predicts 43 out of 47 surgical failures, with an overall prediction accuracy of 76% compared with the accuracy of clinicians at 48% (successful outcomes). In failed outcomes, we identify fragile regions that were untreated. When compared to 20 EEG features proposed as SOZ markers, fragility outperformed in predictive power and interpretability, which suggests neural fragility as an EEG biomarker of the SOZ.
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Affiliation(s)
- Adam Li
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Chester Huynh
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
| | | | - Iahn Cajigas
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Damian Brusko
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jonathan Jagid
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Angel O Claudio
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andres M Kanner
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jennifer Hopp
- Neurology, University of Maryland Medical Center, Baltimore, MD, USA
| | - Stephanie Chen
- Neurology, University of Maryland Medical Center, Baltimore, MD, USA
| | | | - Emily Johnson
- Neurology, Johns Hopkins Hospital, Baltimore, MD, USA
| | | | - Nathan Crone
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
- Neurology, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Sara Inati
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kareem A Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Juan Bulacio
- Epilepsy Center, Cleveland Clinic, Cleveland, OH, USA
| | - Jorge Gonzalez-Martinez
- Neurosurgery and Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Sridevi V Sarma
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
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14
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Shurtleff HA, Roberts EA, Young CC, Barry D, Warner MH, Saneto RP, Buckley R, Firman T, Poliakov AV, Ellenbogen RG, Hauptman JS, Ojemann JG, Marashly A. Pediatric hemispherectomy outcome: Adaptive functioning, intelligence, and memory. Epilepsy Behav 2021; 124:108298. [PMID: 34537627 DOI: 10.1016/j.yebeh.2021.108298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Our purpose was to characterize neuropsychological evaluation (NP) outcome following functional hemispherectomy in a large, representative cohort of pediatric patients. METHODS We evaluated seizure and NP outcomes and medical variables for all post-hemispherectomy patients from Seattle Children's Hospital epilepsy surgery program between 1996 and 2020. Neuropsychological evaluation outcome tests used were not available on all patients due to the diversity of patient ages and competency that is typical of a representative pediatric cohort; all patients had at least an adaptive functioning or intelligence measure, and a subgroup had memory testing. RESULTS A total of 71 hemispherectomy patients (37 right; 34 females) yielded 66 with both preoperative (PREOP) plus postoperative (POSTOP) NPs and 5 with POSTOP only. Median surgery age was 5.7 (IQR 2-9.9) years. Engel classification indicated excellent seizure outcomes: 59 (84%) Class I, 6 (8%) Class II, 5 (7%) Class III, and 1 (1%) Class IV. Medical variables - including seizure etiology, surgery age, side, presurgical seizure duration, unilateral or bilateral structural abnormalities, secondarily generalized motor seizures - were not associated with either Engel class or POSTOP NP scores, though considerable heterogeneity was evident. Median PREOP and POSTOP adaptive functioning (PREOP n = 45, POSTOP n = 48) and intelligence (PREOP n = 29, POSTOP n = 36) summary scores were exceptionally low and did not reveal group decline from PREOP to POSTOP. Fifty-five of 66 (85%) cases showed stability or improvement. Specifically, 5 (8%) improved; 50 (76%) showed stability; and 11 (16%) declined. Improve and decline groups showed clinically interesting, but not statistical, differences in seizure control and age. Median memory summary scores were low and also showed considerable heterogeneity. Overall median PREOP to POSTOP memory scores (PREOP n = 16, POSTOP n = 24) did not reveal declines, and verbal memory scores improved. Twenty six percent of intelligence and 33% of memory tests had verbal versus visual-spatial discrepancies; all but one favored verbal, regardless of hemispherectomy side. SIGNIFICANCE This large, single institution study revealed excellent seizure outcome in 91% of all 71 patients plus stability and/or improvement of intelligence and adaptive functioning in 85% of 66 patients who had PREOP plus POSTOP NPs. Memory was similarly stable overall, and verbal memory improved. Medical variables did not predict group NP outcomes though heterogeneity argues for further research. This study is unique for cohort size, intelligence plus memory testing, and evidence of primacy of verbal over visual-spatial development, despite hemispherectomy side. This study reinforces the role of hemispherectomy in achieving good seizure outcome while preserving functioning.
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Affiliation(s)
- Hillary A Shurtleff
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States.
| | - Emma A Roberts
- University of Washington School of Medicine, United States
| | - Christopher C Young
- Department of Neurological Surgery, University of Washington School of Medicine, United States
| | - Dwight Barry
- Clinical Analytics, Seattle Children's Hospital, United States
| | - Mary H Warner
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States
| | - Russell P Saneto
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States; Department of Neurology, University of Washington School of Medicine, United States; Division of Pediatric Neurology, Seattle Children's Hospital, United States
| | - Robert Buckley
- Department of Neurological Surgery, University of Washington School of Medicine, United States
| | - Timothy Firman
- Department of Medicine, University of Chicago, United States
| | | | - Richard G Ellenbogen
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States; Department of Neurological Surgery, University of Washington School of Medicine, United States; Neurological Surgery, Seattle Children's Hospital, United States
| | - Jason S Hauptman
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States; Department of Neurological Surgery, University of Washington School of Medicine, United States; Neurological Surgery, Seattle Children's Hospital, United States
| | - Jeffrey G Ojemann
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States; Department of Neurological Surgery, University of Washington School of Medicine, United States; Neurological Surgery, Seattle Children's Hospital, United States
| | - Ahmad Marashly
- Neurosciences, Seattle Children's Hospital, United States; Center for Integrated Brain Research, Seattle Children's Hospital, United States; Department of Neurology, University of Washington School of Medicine, United States; Division of Pediatric Neurology, Seattle Children's Hospital, United States
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15
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Cossu M, d'Orio P, Barba C, Asioli S, Cardinale F, Casciato S, Caulo M, Colicchio G, Consales A, D'Aniello A, De Benedictis A, De Palma L, Didato G, Di Gennaro G, Di Giacomo R, Esposito V, Guerrini R, Nichelatti M, Revay M, Rizzi M, Vatti G, Villani F, Zamponi N, Tassi L, Marras CE. Focal Cortical Dysplasia IIIa in Hippocampal Sclerosis-Associated Epilepsy: Anatomo-Electro-Clinical Profile and Surgical Results From a Multicentric Retrospective Study. Neurosurgery 2021; 88:384-393. [PMID: 32860416 DOI: 10.1093/neuros/nyaa369] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 06/24/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Hippocampal sclerosis (HS) may be associated with focal cortical dysplasia IIIa (FCD IIIa) in patients undergoing surgery for temporal lobe epilepsy (TLE). OBJECTIVE To investigate whether the anatomo-electro-clinical profile and surgical outcome in patients with HS-related TLE are affected by coexisting FCD IIIa. METHODS A total of 220 patients, operated in 5 centers, with at least 24 mo follow-up (FU), were retrospectively studied. Preliminary univariate and subsequent multivariate analyses were performed to investigate possible associations between several potential presurgical, surgical, and postsurgical predictors and different variables (Engel's class I and Engel's class Ia, co-occurrence of FCD IIIa). RESULTS At last available postoperative control (FU: range 24-95 mo, median 47 mo), 182 (82.7%) patients were classified as Engel's class I and 142 (64.5%) as Engel's class Ia. At multivariate analysis, extension of neocortical resection and postoperative electroencephalogram were significantly associated with Engel's class I, whereas length of FU had a significant impact on class Ia in the whole cohort and in isolated HS (iHS) patients, but not in the FCD IIIa group. No differences emerged in the anatomo-electro-clinical profile and surgical results between patients with FCD IIIa and with iHS. CONCLUSION Coexistence of FCD IIIa did not confer a distinct anatomo-electro-clinical profile to patients with HS-related epilepsy. Postoperative seizure outcome was similar in FCD IIIa and iHS cases. These findings indicate limited clinical relevance of FCD IIIa in HS-related epilepsy and might be useful for refining future FCD classifications. Further studies are needed to clarify the correlation of class Ia outcome with the duration of FU.
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Affiliation(s)
- Massimo Cossu
- "C. Munari" Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy
| | - Piergiorgio d'Orio
- "C. Munari" Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy.,Institute of Neuroscience, National Research Council, Parma, Italy
| | - Carmen Barba
- Neuroscience Department, Meyer Children's Hospital, University of Florence, Florence, Italy
| | - Sofia Asioli
- Department of Biomedical and Neuromotor Sciences, Section of Anatomic Pathology "M. Malpighi", Bellaria Hospital, Bologna, Italy
| | | | | | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University, Chieti, Italy
| | | | - Alessandro Consales
- Division of Neurosurgery, IRCCS Giannina Gaslini Children's Hospital, Genoa, Italy
| | | | | | - Luca De Palma
- Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children Hospital, Rome, Italy
| | - Giuseppe Didato
- Epilepsy Unit, IRCCS "C. Besta" Neurological Institute Foundation, Milan, Italy
| | | | - Roberta Di Giacomo
- Epilepsy Unit, IRCCS "C. Besta" Neurological Institute Foundation, Milan, Italy
| | - Vincenzo Esposito
- IRCCS Neuromed, Pozzilli (IS), Italy.,Department of Neurology and Psychiatry, Sapienza University, Rome, Italy
| | - Renzo Guerrini
- Neuroscience Department, Meyer Children's Hospital, University of Florence, Florence, Italy
| | | | - Martina Revay
- "C. Munari" Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy
| | - Michele Rizzi
- "C. Munari" Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy
| | - Giampaolo Vatti
- Department of Neurological and Sensorial Sciences, University of Siena, Siena, Italy
| | - Flavio Villani
- Epilepsy Unit, IRCCS "C. Besta" Neurological Institute Foundation, Milan, Italy.,Division of Neurophysiology and Epilepsy Centre, IRCCS San Martino Policlinic Hospital, Genoa, Italy
| | - Nelia Zamponi
- Child Neuropsychiatric Unit, University of Ancona, Ancona, Italy
| | - Laura Tassi
- "C. Munari" Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy
| | - Carlo Efisio Marras
- Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children Hospital, Rome, Italy
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16
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Szczygieł JA, Danielsen KI, Melin E, Rosenkranz SH, Pankratova S, Ericsson A, Agerman K, Kokaia M, Woldbye DPD. Gene Therapy Vector Encoding Neuropeptide Y and Its Receptor Y2 for Future Treatment of Epilepsy: Preclinical Data in Rats. Front Mol Neurosci 2020; 13:232. [PMID: 33343295 PMCID: PMC7746806 DOI: 10.3389/fnmol.2020.603409] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 11/11/2020] [Indexed: 01/15/2023] Open
Abstract
Gene therapy to treat pharmacoresistant temporal lobe epilepsy in humans is now being developed using an AAV vector (CG01) that encodes the combination of neuropeptide Y and its antiepileptic receptor Y2. With this in mind, the present study aimed to provide important preclinical data on the effects of CG01 on the duration of transgene expression, cellular tropism, and potential side effects on body weight and cognitive function. The CG01 vector was administered unilaterally into the dorsal and ventral hippocampus of adult male rats and expression of both transgenes was found to remain elevated without a sign of decline at 6 months post-injection. CG01 appeared to mediate expression selectively in hippocampal neurons, without expression in astrocytes or oligodendrocytes. No effects were seen on body weight as well as on short- or long-term memory as revealed by testing in the Y-maze or Morris water maze tests. Thus these data show that unilateral CG01 vector treatment as future gene therapy in pharmacoresistant temporal lobe epilepsy patients should result in stable and long-term expression predominantly in neurons and be well tolerated without side effects on body weight and cognitive function.
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Affiliation(s)
| | - Kira Iben Danielsen
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark.,Experimental Epilepsy Group, Epilepsy Centre, Lund University Hospital, Lund, Sweden
| | - Esbjörn Melin
- Experimental Epilepsy Group, Epilepsy Centre, Lund University Hospital, Lund, Sweden
| | | | | | | | | | - Merab Kokaia
- Experimental Epilepsy Group, Epilepsy Centre, Lund University Hospital, Lund, Sweden
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17
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Kundu B, Lucke-Wold B, Foster C, Englot DJ, Urhie O, Nwafor D, Rolston JD. Fornicotomy for the Treatment of Epilepsy: An Examination of Historical Literature in the Setting of Modern Operative Techniques. Neurosurgery 2020; 87:157-165. [PMID: 31885037 PMCID: PMC8101091 DOI: 10.1093/neuros/nyz554] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 11/07/2019] [Indexed: 02/05/2023] Open
Abstract
Fornicotomy has been used to treat intractable temporal lobe epilepsy with mixed success historically; however, modern advances in stereotactic, neurosurgical, and imaging techniques offer new opportunities to target the fornix with greater precision and safety. In this review, we discuss the historical uses and quantify the outcomes of fornicotomy for the treatment of temporal lobe epilepsy, highlight the potential mechanisms of benefit, and address what is known about the side effects of the procedure. We find that fornicotomy, with or without anterior commissurotomy, resulted in 61% (83/136) of patients having some seizure control benefit. We discuss the potential operative approaches for targeting the fornix, including laser ablation and the use of focused ultrasound ablation. More work is needed to address the true efficacy of fornicotomy in the modern surgical setting. This review is intended to serve as a framework for developing this approach.
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Affiliation(s)
- Bornali Kundu
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Chase Foster
- Department of Neurosurgery, George Washington University, Washington, District of Columbia
| | - Dario J Englot
- Department of Neurosurgery, Vanderbilt University, Nashville, Tennessee
| | - Ogaga Urhie
- Department of Neurosurgery, West Virginia University, Morgantown, West Virginia
| | - Divine Nwafor
- Department of Neurosurgery, West Virginia University, Morgantown, West Virginia
| | - John D Rolston
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah School of Medicine, Salt Lake City, Utah
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