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Middlebrooks EH, Gupta V, Agarwal AK, Freund BE, Messina SA, Tatum WO, Sabsevitz DS, Feyissa AM, Mirsattari SM, Galan FN, Quinones-Hinojosa A, Grewal SS, Murray JV. Radiologic Classification of Hippocampal Sclerosis in Epilepsy. AJNR Am J Neuroradiol 2024:ajnr.A8214. [PMID: 38383054 DOI: 10.3174/ajnr.a8214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
Abstract
Temporal lobe epilepsy is a common form of epilepsy that is often associated with hippocampal sclerosis (HS). Although HS is commonly considered a binary assessment in radiologic evaluation, it is known that histopathologic changes occur in distinct clusters. Some subtypes of HS only affect certain subfields, resulting in minimal changes to the overall volume of the hippocampus. This is likely a major reason why whole hippocampal volumetrics have underperformed versus expert readers in the diagnosis of HS. With recent advancements in MRI technology, it is now possible to characterize the substructure of the hippocampus more accurately. However, this is not consistently addressed in radiographic evaluations. The histologic subtype of HS is critical for prognosis and treatment decision-making, necessitating improved radiologic classification of HS. The International League Against Epilepsy (ILAE) has issued a consensus classification scheme for subtyping HS histopathologic changes. This review aims to explore how the ILAE subtypes of HS correlate with radiographic findings, introduce a grading system that integrates radiologic and pathologic reporting in HS, and outline an approach to detecting HS subtypes by using MRI. This framework will not only benefit current clinical evaluations, but also enhance future studies involving high-resolution MRI in temporal lobe epilepsy.
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Affiliation(s)
- Erik H Middlebrooks
- From the Department of Radiology (E.H.M., V.G., A.K.A., J.V.M.), Mayo Clinic, Jacksonville, Florida
| | - Vivek Gupta
- From the Department of Radiology (E.H.M., V.G., A.K.A., J.V.M.), Mayo Clinic, Jacksonville, Florida
| | - Amit K Agarwal
- From the Department of Radiology (E.H.M., V.G., A.K.A., J.V.M.), Mayo Clinic, Jacksonville, Florida
| | - Brin E Freund
- Department of Neurology (B.E.F., W.O.T., A.M.F.), Mayo Clinic, Jacksonville, Florida
| | - Steven A Messina
- Department of Radiology (S.A.M.), Mayo Clinic, Rochester, Minnesota
| | - William O Tatum
- Department of Neurology (B.E.F., W.O.T., A.M.F.), Mayo Clinic, Jacksonville, Florida
| | - David S Sabsevitz
- Department of Psychiatry and Psychology (D.S.S.), Mayo Clinic, Jacksonville, Florida
| | - Anteneh M Feyissa
- Department of Neurology (B.E.F., W.O.T., A.M.F.), Mayo Clinic, Jacksonville, Florida
| | - Seyed M Mirsattari
- Departments of Clinical Neurological Sciences, Medical Imaging, Medical Biophysics, and Psychology (S.M.M.), University of Western Ontario, London, Ontario, Canada
| | - Fernando N Galan
- Department of Neurology (F.N.G.), Nemours Children's Health, Jacksonville, Florida
| | | | - Sanjeet S Grewal
- Department of Neurosurgery (A.Q.-H., S.S.G.), Mayo Clinic, Jacksonville, Florida
| | - John V Murray
- From the Department of Radiology (E.H.M., V.G., A.K.A., J.V.M.), Mayo Clinic, Jacksonville, Florida
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Santos-Santos A, Morales-Chacón LM, Galan-Garcia L, Machado C. Short and long term prediction of seizure freedom in drug-resistant focal epilepsy surgery. Clin Neurol Neurosurg 2023; 230:107753. [PMID: 37245454 DOI: 10.1016/j.clineuro.2023.107753] [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: 09/23/2022] [Revised: 12/18/2022] [Accepted: 05/02/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND The selection of candidates for drug-resistant focal epilepsy surgery is essential to achieve the best post-surgical outcomes. OBJECTIVE To develop two prediction models for seizure freedom in the short and long-term follow-up and from them to create a risk calculator in order to individualize the selection of candidates for surgery and future therapies in each patients. METHODS A sample of 64 consecutive patients who underwent epilepsy surgery at two Cuban tertiary health institutions between 2012 and 2020 constituted the basis for the prediction models. Two models were obtained through the novel methodology, based on biomarker selection reached by resampling methods, cross-validation and high-accuracy index measured through the area under the receiving operating curve (ROC) procedure. RESULTS The first, to pre-operative model included five predictors: epilepsy type, seizures per month, ictal pattern, interictal EEG topography and normal or abnormal magnetic resonance imaging,. it's precision was 0.77 at one year, and with four years and more 0.63. The second model including variables from the trans-surgical and post-surgical stages: the interictal discharges in the post-surgical EEG, incomplete or complete resection of the epileptogenic zone, the surgical techniques employed and disappearance of the discharge in post-resection electrocorticography; the precision of this model was 0.82 at one year, and with four years and more 0.97. CONCLUSIONS The introduction of trans-surgical and post-surgical variables increase the prediction of the pre-surgical model. A risk calculator was developed using these prediction models, which could be useful as an accurate tool to improve the prediction in epilepsy surgery.
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Affiliation(s)
| | | | | | - Calixto Machado
- Institute of Neurology and Neurosurgery, Department of Clinical Neurophysiology, President of the Cuban Society of Clinical Neurophysiology, Cuba
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Kim JR, Jo H, Park B, Park YH, Chung YH, Shon YM, Seo DW, Hong SB, Hong SC, Seo SW, Joo EY. Identifying important factors for successful surgery in patients with lateral temporal lobe epilepsy. PLoS One 2023; 18:e0288054. [PMID: 37384651 PMCID: PMC10310033 DOI: 10.1371/journal.pone.0288054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/18/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVE Lateral temporal lobe epilepsy (LTLE) has been diagnosed in only a small number of patients; therefore, its surgical outcome is not as well-known as that of mesial temporal lobe epilepsy. We aimed to evaluate the long-term (5 years) and short-term (2 years) surgical outcomes and identify possible prognostic factors in patients with LTLE. METHODS This retrospective cohort study was conducted between January 1995 and December 2018 among patients who underwent resective surgery in a university-affiliated hospital. Patients were classified as LTLE if ictal onset zone was in lateral temporal area. Surgical outcomes were evaluated at 2 and 5 years. We subdivided based on outcomes and compared clinical and neuroimaging data including cortical thickness between two groups. RESULTS Sixty-four patients were included in the study. The mean follow-up duration after the surgery was 8.4 years. Five years after surgery, 45 of the 63 (71.4%) patients achieved seizure freedom. Clinically and statistically significant prognostic factors for postsurgical outcomes were the duration of epilepsy before surgery and focal cortical dysplasia on postoperative histopathology at the 5-year follow-up. Optimal cut-off point for epilepsy duration was eight years after the seizure onset (odds ratio 4.375, p-value = 0.0214). Furthermore, we propose a model for predicting seizure outcomes 5 years after surgery using the receiver operating characteristic curve and nomogram (area under the curve = 0.733; 95% confidence interval, 0.588-0.879). Cortical thinning was observed in ipsilateral cingulate gyrus and contralateral parietal lobe in poor surgical group compared to good surgical group (p-value < 0.01, uncorrected). CONCLUSIONS The identified predictors of unfavorable surgical outcomes may help in selecting optimal candidates and identifying the optimal timing for surgery among patients with LTLE. Additionally, cortical thinning was more extensive in the poor surgical group.
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Affiliation(s)
- Jae Rim Kim
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyunjin Jo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Boram Park
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
| | - Yu Hyun Park
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Yeon Hak Chung
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Young-Min Shon
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Dae-Won Seo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seung Bong Hong
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seung-Chyul Hong
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sang Won Seo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Eun Yeon Joo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Slingerland AL, Chua MMJ, Bolton J, Staffa SJ, Tsuboyama M, Prabhu SP, Pearl PL, Madsen JR, Stone SSD. Stereoelectroencephalography followed by combined electrode removal and MRI-guided laser interstitial thermal therapy or open resection: a single-center series in pediatric patients with medically refractory epilepsy. J Neurosurg Pediatr 2023; 31:206-211. [PMID: 36681974 DOI: 10.3171/2022.11.peds22262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 11/11/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Stereoelectroencephalography (SEEG) and MRI-guided laser interstitial thermal therapy (MRgLITT) have emerged as safe, effective, and less invasive alternatives to subdural grid placement and open resection, respectively, for the localization and treatment of medically refractory epilepsy (MRE) in children. Reported pediatric experience combining these complementary techniques is limited, with traditional workflows separating electrode removal and ablation/resection. The authors describe the largest reported series of pediatric epilepsy patients who underwent MRgLITT following SEEG contrasted with a cohort that underwent craniotomy following SEEG, combining ablation/resection with electrode explantation as standard practice. METHODS The medical records of all patients with MRE who had undergone SEEG followed by MRgLITT or open resection/disconnection at Boston Children's Hospital between November 2015 and December 2020 were retrospectively reviewed. Primary outcome variables included surgical complication rates, length of hospital stay following treatment, and Engel classification at the last follow-up. RESULTS Of 74 SEEG patients, 27 (median age 12.1 years, 63% female) underwent MRgLITT and 47 (median age 12.1 years, 49% female) underwent craniotomy. Seventy patients (95%) underwent SEEG followed by combined electrode removal and treatment. Eight MRgLITT cases (30%) and no open cases targeted the insula (p < 0.001). Complication rates did not differ, although trends toward more subdural/epidural hematomas, infarcts, and permanent unanticipated neurological deficits were evident following craniotomy, whereas a trend toward more temporary unanticipated neurological deficits was seen following MRgLITT. The median duration of hospitalization after treatment was 3 and 5 days for MRgLITT and open cases, respectively (p = 0.078). Seizure outcomes were similar between the cohorts, with 74% of MRgLITT and craniotomy patients attaining Engel class I or II outcomes (p = 0.386) at the last follow-up (median 1.1 and 1.9 years, respectively). CONCLUSIONS MRgLITT and open resection following SEEG can both effectively treat MRE in pediatric patients and generally can be performed in a two-surgery workflow during a single hospitalization. In appropriately selected patients, MRgLITT tended to be associated with shorter hospitalizations and fewer complications following treatment and may be best suited for focal deep-seated targets associated with relatively challenging open surgical approaches.
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Affiliation(s)
| | | | | | - Steven J Staffa
- 3Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital
| | | | - Sanjay P Prabhu
- 4Department of Radiology, Division of Neuroradiology, Boston Children's Hospital, Boston, Massachusetts
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Juan E, Górska U, Kozma C, Papantonatos C, Bugnon T, Denis C, Kremen V, Worrell G, Struck AF, Bateman LM, Merricks EM, Blumenfeld H, Tononi G, Schevon C, Boly M. Distinct signatures of loss of consciousness in focal impaired awareness versus tonic-clonic seizures. Brain 2023; 146:109-123. [PMID: 36383415 PMCID: PMC10582624 DOI: 10.1093/brain/awac291] [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: 10/06/2021] [Revised: 05/17/2022] [Accepted: 06/11/2022] [Indexed: 11/17/2022] Open
Abstract
Loss of consciousness is a hallmark of many epileptic seizures and carries risks of serious injury and sudden death. While cortical sleep-like activities accompany loss of consciousness during focal impaired awareness seizures, the mechanisms of loss of consciousness during focal to bilateral tonic-clonic seizures remain unclear. Quantifying differences in markers of cortical activation and ictal recruitment between focal impaired awareness and focal to bilateral tonic-clonic seizures may also help us to understand their different consequences for clinical outcomes and to optimize neuromodulation therapies. We quantified clinical signs of loss of consciousness and intracranial EEG activity during 129 focal impaired awareness and 50 focal to bilateral tonic-clonic from 41 patients. We characterized intracranial EEG changes both in the seizure onset zone and in areas remote from the seizure onset zone with a total of 3386 electrodes distributed across brain areas. First, we compared the dynamics of intracranial EEG sleep-like activities: slow-wave activity (1-4 Hz) and beta/delta ratio (a validated marker of cortical activation) during focal impaired awareness versus focal to bilateral tonic-clonic. Second, we quantified differences between focal to bilateral tonic-clonic and focal impaired awareness for a marker validated to detect ictal cross-frequency coupling: phase-locked high gamma (high-gamma phased-locked to low frequencies) and a marker of ictal recruitment: the epileptogenicity index. Third, we assessed changes in intracranial EEG activity preceding and accompanying behavioural generalization onset and their correlation with electromyogram channels. In addition, we analysed human cortical multi-unit activity recorded with Utah arrays during three focal to bilateral tonic-clonic seizures. Compared to focal impaired awareness, focal to bilateral tonic-clonic seizures were characterized by deeper loss of consciousness, even before generalization occurred. Unlike during focal impaired awareness, early loss of consciousness before generalization was accompanied by paradoxical decreases in slow-wave activity and by increases in high-gamma activity in parieto-occipital and temporal cortex. After generalization, when all patients displayed loss of consciousness, stronger increases in slow-wave activity were observed in parieto-occipital cortex, while more widespread increases in cortical activation (beta/delta ratio), ictal cross-frequency coupling (phase-locked high gamma) and ictal recruitment (epileptogenicity index). Behavioural generalization coincided with a whole-brain increase in high-gamma activity, which was especially synchronous in deep sources and could not be explained by EMG. Similarly, multi-unit activity analysis of focal to bilateral tonic-clonic revealed sustained increases in cortical firing rates during and after generalization onset in areas remote from the seizure onset zone. Overall, these results indicate that unlike during focal impaired awareness, the neural signatures of loss of consciousness during focal to bilateral tonic-clonic consist of paradoxical increases in cortical activation and neuronal firing found most consistently in posterior brain regions. These findings suggest differences in the mechanisms of ictal loss of consciousness between focal impaired awareness and focal to bilateral tonic-clonic and may account for the more negative prognostic consequences of focal to bilateral tonic-clonic.
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Affiliation(s)
- Elsa Juan
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Department of Psychology, University of Amsterdam, Amsterdam, 1018 WS, The Netherlands
| | - Urszula Górska
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland
| | - Csaba Kozma
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Department of Neurology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Cynthia Papantonatos
- Department of Neurology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Tom Bugnon
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Colin Denis
- Department of Neurology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Vaclav Kremen
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University in Prague, Prague, 16000, Czech Republic
| | - Greg Worrell
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Aaron F Struck
- Department of Neurology, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Neurology, William S. Middleton Veterans Administration Hospital, Madison, WI 53705, USA
| | - Lisa M Bateman
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Edward M Merricks
- Department of Neurology, Columbia University, New York City, NY 10032, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale School of Medicine, New Haven, CT 06519, USA
| | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Catherine Schevon
- Department of Neurology, Columbia University, New York City, NY 10032, USA
| | - Melanie Boly
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Department of Neurology, University of Wisconsin-Madison, Madison, WI 53705, USA
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Novais F, Andrea M, Andrade G, Loureiro S, Pimentel J, Câmara Pestana L. Intelligence quotient (IQ) as a predictor of epilepsy surgery outcome. Epilepsy Behav 2022; 132:108708. [PMID: 35640399 DOI: 10.1016/j.yebeh.2022.108708] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/20/2022] [Accepted: 04/15/2022] [Indexed: 11/03/2022]
Abstract
INTRODUCTION About one-third of patients with epilepsy have a refractory form which is associated with important economic and psychosocial burden. Most of these patients also suffer from comorbidities. One of the most frequent is cognitive impairment. Resective surgery or neuromodulation techniques may improve seizure control. Several factors have been proposed as potential predictors of the success of surgery regarding seizure frequency. We aimed to study preoperative cognitive performance as a predictor of the epilepsy surgery outcome. METHODS In this ambispective study we studied total intelligence quotients (IQ) measured before surgery with the Wechsler Adult Intelligence Scale (WAIS) as a potential predictor of Engel Class at 1 year after surgery. Then we included IQ in a multivariate model and tested its performance. RESULTS Preoperative IQ was a significant and independent predictor of the Engel Class at 1 year after surgery (OR 0.94; CI 0.90-0.98; p = 0.007). The multivariate model including the age at epilepsy onset, education level, sex, and the type of surgery (resective versus palliative surgery) showed an area under the ROC curve of 0.85. CONCLUSIONS A low intelligence level may constitute a marker of worse prognosis after epilepsy surgery. However, other predictors should also be considered when evaluating surgical candidates.
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Affiliation(s)
- Filipa Novais
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for Rare and Complex Epilepsies, Portugal.
| | - Mafalda Andrea
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for Rare and Complex Epilepsies, Portugal
| | - Gabriela Andrade
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal
| | - Susana Loureiro
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for Rare and Complex Epilepsies, Portugal
| | - José Pimentel
- Faculdade de Medicina, Universidade de Lisboa, Portugal; Department of Neurosciences and Mental Health, Neurology Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for Rare and Complex Epilepsies, Portugal
| | - Luís Câmara Pestana
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for Rare and Complex Epilepsies, Portugal
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Abstract
Temporal lobe epilepsy (TLE) is the most common cause of refractory epilepsy amenable for surgical treatment and seizure control. Surgery for TLE is a safe and effective strategy. The seizure-free rate after surgical resection in patients with mesial or neocortical TLE is about 70%. Resective surgery has an advantage over stereotactic radiosurgery in terms of seizure outcomes for mesial TLE patients. Both techniques have similar results for safety, cognitive outcomes, and associated costs. Stereotactic radiosurgery should therefore be seen as an alternative to open surgery for patients with contraindications for or with reluctance to undergo open surgery. Laser interstitial thermal therapy (LITT) has also shown promising results as a curative technique in mesial TLE but needs to be more deeply evaluated. Brain-responsive stimulation represents a palliative treatment option for patients with unilateral or bilateral MTLE who are not candidates for temporal lobectomy or who have failed a prior mesial temporal lobe resection. Overall, despite the expansion of innovative techniques in recent years, resective surgery remains the reference treatment for TLE and should be proposed as the first-line surgical modality. In the future, ultrasound therapies could become a credible therapeutic option for refractory TLE patients.
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Affiliation(s)
- Bertrand Mathon
- Department of Neurosurgery, La Pitié-Salpêtrière University Hospital, Paris, France; Sorbonne University, Paris, France; Paris Brain Institute, Paris, France
| | - Stéphane Clemenceau
- Department of Neurosurgery, La Pitié-Salpêtrière University Hospital, Paris, France
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Cho KH, Lee HJ, Heo K, Kim SE, Lee DA, Park KM. Intrinsic Thalamic Network in Temporal Lobe Epilepsy With Hippocampal Sclerosis According to Surgical Outcomes. Front Neurol 2021; 12:721610. [PMID: 34512532 PMCID: PMC8429827 DOI: 10.3389/fneur.2021.721610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/06/2021] [Indexed: 11/26/2022] Open
Abstract
Background: The aim of this study was to identify the differences of intrinsic amygdala, hippocampal, or thalamic networks according to surgical outcomes in temporal lobe epilepsy (TLE) patients with hippocampal sclerosis (HS). Methods: We enrolled 69 pathologically confirmed TLE patients with HS. All patients had pre-operative three-dimensional T1-weighted MRI using a 3.0 T scanner. We obtained the structural volumes of the amygdala nuclei, hippocampal subfields, and thalamic nuclei. Then, we investigated the intrinsic networks based on volumes of these structures using structural covariance and graph theoretical analysis. Results: Of the 69 TLE patients with HS, 21 patients (42.1%) had poor surgical outcomes, whereas 40 patients (57.9%) had good surgical outcomes. The volumes in the amygdala nuclei, hippocampal subfields, and thalamic nuclei were not different according to surgical outcome. In addition, the intrinsic amygdala and hippocampal networks were not different between the patients with poor and good surgical outcomes. However, there was a significant difference in the intrinsic thalamic network in the ipsilateral hemisphere between them. The eccentricity and small-worldness index were significantly increased, whereas the characteristic path length was decreased in the patients with poor surgical outcomes compared to those with good surgical outcomes. Conclusion: We successfully demonstrated significant differences in the intrinsic thalamic network in the ipsilateral hemisphere between TLE patients with HS with poor and good surgical outcomes. This result suggests that the pre-operative intrinsic thalamic network can be related with surgical outcomes in TLE patients with HS.
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Affiliation(s)
- Kyoo Ho Cho
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.,Department of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
| | - Kyoung Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Eun Kim
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
| | - Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
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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: 2.3] [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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Ljunggren S, Andersson‐Roswall L, Imberg H, Samuelsson H, Malmgren K. Predicting verbal memory decline following temporal lobe resection for epilepsy. Acta Neurol Scand 2019; 140:312-319. [PMID: 31273754 DOI: 10.1111/ane.13146] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 06/26/2019] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The aim of the study was to develop a prediction model for verbal memory decline after temporal lobe resection (TLR) for epilepsy. The model will be used in the preoperative counselling of patients to give individualized information about risk for verbal memory decline. MATERIALS AND METHODS A sample of 110 consecutive patients who underwent TLR for epilepsy at Sahlgrenska University Hospital between 1987 and 2011 constituted the basis for the prediction model. They had all gone through a formal neuropsychological assessment before surgery and 2 years after. Penalized regression and 20 × 10-fold cross-validation were used in order to build a reliable model for predicting individual risks. RESULTS The final model included four predictors: side of surgery; inclusion or not of the hippocampus in the resection; preoperative verbal memory function; and presence/absence of focal to bilateral tonic-clonic seizures (TCS) the last year prior to the presurgical investigation. The impact of a history of TCS is a new finding which we interpret as a sign of a more widespread network disease which influences neuropsychological function and the cognitive reserve. The model correctly identified 82% of patients with post-operative decline in verbal memory, and the overall accuracy was 70%-85% depending on choice of risk thresholds. CONCLUSIONS The model makes it possible to provide patients with individualized prediction regarding the risk of verbal memory decline following TLR. This will help them make more informed decisions regarding treatment, and it will also enable the epilepsy surgery team to prepare them better for the rehabilitation process.
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Affiliation(s)
- Sofia Ljunggren
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology Sahlgrenska Academy at the University of Gothenburg Gothenburg Sweden
| | - Lena Andersson‐Roswall
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology Sahlgrenska Academy at the University of Gothenburg Gothenburg Sweden
| | - Henrik Imberg
- Statistiska Konsultgruppen Gothenburg Sweden
- Department of Mathematical Sciences Chalmers University of Technology and the University of Gothenburg Gothenburg Sweden
| | - Hans Samuelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology Sahlgrenska Academy at the University of Gothenburg Gothenburg Sweden
- Department of Psychology University of Gothenburg Gothenburg Sweden
| | - Kristina Malmgren
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology Sahlgrenska Academy at the University of Gothenburg Gothenburg Sweden
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