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Chen P, Wang S, Zhang H, Li J. Recent advances in nanotherapy-based treatment of epilepsy. Colloids Surf B Biointerfaces 2025; 249:114499. [PMID: 39778465 DOI: 10.1016/j.colsurfb.2025.114499] [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: 10/22/2024] [Revised: 12/21/2024] [Accepted: 01/04/2025] [Indexed: 01/11/2025]
Abstract
Epilepsy is a complex neurological disorder characterized by recurrent seizures affecting millions of people worldwide. Despite advances in drug therapy, a significant proportion of patients remain resistant to conventional antiepileptic drugs (AEDs) due to challenges such as impermeability of the blood-brain barrier (BBB), multidrug resistance, and multifaceted epileptogenesis. Nanotechnology offers promising strategies to overcome these barriers by enhancing drug delivery across the BBB, improving target specificity and minimizing systemic side effects. This review explores recent advances in different innovative strategies of nanodelivery systems for epilepsy therapy, and we will discuss the design principles, mechanisms of action and therapeutic efficacy of these nanodelivery systems. In addition, we discuss the challenges and limitations that hinder the clinical translation of nanomedicine-based therapies for epilepsy. We emphasize the need for personalized and multidisciplinary approaches as well as the importance of continued research and interdisciplinary collaboration in order to translate these innovative strategies into effective therapies. Ultimately, the use of nanotechnology has the potential to enhance seizure control, reduce the burden of epilepsy, and improve the quality of life of patients affected by this complex neurological disorder. Nanotechnology-based drug delivery systems may usher in a new era of precision medicine for epilepsy treatment.
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Affiliation(s)
- Peng Chen
- General Hospital of Northern Theater Command, Liaoning 110016, China
| | - Shudong Wang
- Jinzhou Medical University, Liaoning 121001, China
| | - Heming Zhang
- Dalian Medical University, Liaoning 116044, China
| | - Jian Li
- General Hospital of Northern Theater Command, Liaoning 110016, China.
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Sainburg LE, Hoang J, Doss DJ, Berry V, Roche A, Lagrange AH, Peterson TE, Smith GT, Englot DJ, Morgan VL. Surgical targeting of lateralized 18F-fluorodeoxyglucose positron emission tomography hypometabolism relates to long-term epilepsy surgery outcomes. Epilepsia 2025. [PMID: 40202811 DOI: 10.1111/epi.18402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 03/24/2025] [Accepted: 03/25/2025] [Indexed: 04/11/2025]
Abstract
OBJECTIVE Surgical resection of the seizure onset zone can be an effective treatment for patients with drug-resistant focal epilepsy. Clinical, electrophysiological, and imaging data are all gathered prior to surgery to localize the seizure onset zone. However, only ~62% of patients become seizure-free after surgery, highlighting the need for improved methods to prospectively predict seizure recurrence after resection. 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) is routinely acquired to guide epilepsy surgery; however, these scans are often assessed qualitatively in the clinic. Here, we quantified the surgical targeting of lateralized FDG-PET hypometabolism and assessed its relationship to surgical outcomes. METHODS We included 55 patients who underwent resective epilepsy surgery (46 with temporal lobe epilepsy). We calculated laterality of the patients' presurgical FDG-PET scans and used pre- and postsurgical magnetic resonance imaging to delineate the surgically resected regions. Surgical targeting of FDG-PET laterality was computed using the discriminability between resected and spared regions statistic. RESULTS We found that surgical targeting of FDG-PET laterality could distinguish temporal lobe epilepsy patients who achieve freedom from disabling seizures in the long term (3 years) from those who do not (area under the curve [AUC] = .83), outperforming the standard clinical assessment (AUC = .68). We additionally found that this method generalized to the nine patients with extratemporal lobe focal epilepsy. SIGNIFICANCE This study highlights the benefit of quantifying FDG-PET to guide epilepsy surgery. The presented quantitative FDG-PET method could be used prospectively in the clinic to aid in surgical guidance and patient counseling.
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Affiliation(s)
- Lucas E Sainburg
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Joseph Hoang
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Derek J Doss
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Virginia Berry
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexandra Roche
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andre H Lagrange
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd E Peterson
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Gary T Smith
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dario J Englot
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Victoria L Morgan
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Ziechmann R, Galligan K, DiGiovine M, Marsh ED, Kennedy BC. Multiple subpial transections with concomitant responsive neurostimulation of the insula: illustrative case. JOURNAL OF NEUROSURGERY. CASE LESSONS 2025; 9:CASE24445. [PMID: 40163899 PMCID: PMC11959638 DOI: 10.3171/case24445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 01/16/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Focal epilepsy arising from the eloquent cortex can be treated with palliative surgical interventions such as multiple subpial transection (MST) or responsive neurostimulation (RNS). These techniques can be performed to reduce the burden of disabling seizures while avoiding disability associated with resection of the eloquent brain. OBSERVATIONS A 17-year-old girl with a history of complex, refractory multifocal epilepsy and previous right anterior temporal lobectomy and left temporal neocortical RNS presented with refractory status epilepticus. Scalp electroencephalography showed seizures that began prior to RNS detection, suggesting a focus outside of the left anterior temporal lobe. MRI showed new edema throughout the left insula. MST and concurrent insular RNS lead placement were performed. The patient was discharged 2 weeks later, and at the 6-month follow-up, she had a 100-fold reduction in clinical seizures and RNS detections. LESSONS This technical report is the first description of 1) concurrent MST and RNS, and 2) placement of a paddle electrode for the RNS over the surface of the insula using a transsylvian approach. Surgery in this case provided both immediate and sustained reduction in disabling seizures over several months. https://thejns.org/doi/10.3171/CASE24445.
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Affiliation(s)
- Robert Ziechmann
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Neurosurgery, Temple University Hospital, Philadelphia, Pennsylvania
| | - Kathleen Galligan
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Marissa DiGiovine
- Division of Child Neurology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Eric D. Marsh
- Division of Child Neurology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Benjamin C. Kennedy
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
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Beatty CW, Ahrens SM, Arredondo KH, Bagic AI, Bai S, Chapman KE, Ciliberto MA, Clarke DF, Eisner M, Fountain NB, Gavvala JR, Perry MS, Rossi KC, Wong-Kisiel LC, Herman ST, Ostendorf AP. Associations Between Testing and Treatment Pathways in a Case of Pediatric Nonlesional Epilepsy: A Census Survey of NAEC Center Directors. J Child Neurol 2025; 40:162-167. [PMID: 39449630 DOI: 10.1177/08830738241288278] [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] [Indexed: 10/26/2024]
Abstract
ObjectiveEpilepsy surgery is vital in managing of children with drug-resistant epilepsy. Noninvasive and invasive testing modalities allow for evaluation and treatment of children with drug-resistant epilepsy. Evidence-based algorithms for this process do not exist. This study examines expert response to a vignette of pediatric nonlesional epilepsy to assess associations in evaluation and treatment choices.MethodsWe analyzed annual report data and an epilepsy practice survey reported in 2020 from 135 pediatric epilepsy center directors in the United States. Characteristics of centers along with noninvasive and invasive testing and surgical treatment strategies were collected. Multivariable logistic regression modeling was performed.ResultsThe response rate was 100% with 135 responses included in the analyses. Most used noninvasive testing modalities included Neuropsychology evaluation (90%), interictal brain fluorodeoxyglucose-positron emission tomography (85%), and functional magnetic resonance imaging (MRI) (72%) with nearly half obtaining genetic testing. Choosing functional MRI was associated with stereo electroencephalography (EEG) (P = .025) and selecting Wada with subdural grid/strips (P = .038). Directors from pediatric-only centers were more likely to choose stereo EEG as opposed to combined centers (P = .042). Laser interstitial thermal therapy was almost 7 times as likely to be chosen as a treatment modality compared with open resection in dedicated pediatric centers (OR 6.96, P = .002).SignificanceIn a vignette of nonlesional childhood drug-resistant epilepsy, epilepsy center directors' patterns of noninvasive testing, invasive testing, and treatment were examined. Management choices were associated with pediatric versus combined pediatric/adult center characteristics. Expert opinions demonstrated equipoise in evaluation and management of children with drug-resistant epilepsy and the need for evidence-based management strategies.
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Affiliation(s)
- Christopher W Beatty
- Department of Pediatrics, Division of Neurology, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, OH, USA
| | - Stephanie M Ahrens
- Department of Pediatrics, Division of Neurology, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, OH, USA
| | - Kristen H Arredondo
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Anto I Bagic
- Department of Neurology, University of Pittsburgh Comprehensive Epilepsy Center (UPCEC), Pittsburgh, PA, USA
| | - Shasha Bai
- Pediatric Biostatistics Core, Emory University School of Medicine, Atlanta, GA, USA
| | - Kevin E Chapman
- Barrow Neurologic Institute at Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Michael A Ciliberto
- Department of Pediatrics, Stead Family Children's Hospital, University of Iowa, Iowa City, IA, USA
| | - Dave F Clarke
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Mariah Eisner
- Biostatistics Resource at Nationwide Children's Hospital, Columbus, OH, USA
| | - Nathan B Fountain
- Department of Neurology, University of Virginia Health Sciences Center, Charlottesville, VA, USA
| | - Jay R Gavvala
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - M S Perry
- Jane and John Justin Neurosciences Center, Cook Children's Medical Center, Ft Worth, TX, USA
| | - Kyle C Rossi
- Department of Neurology, Division of Epilepsy, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | | | | | - Adam P Ostendorf
- Department of Pediatrics, Division of Neurology, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, OH, USA
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Sharma M, Scott V, Ugiliweneza B, Wang D, Boakye M, Neimat J, Sreenivasan S. National trends of Laser interstitial thermal therapy (LITT) and Vagus Nerve stimulation (VNS) for refractory epilepsy in adult patients: A Nationwide Inpatient Sample based propensity score matched analysis. J Clin Neurosci 2025; 131:110932. [PMID: 39591697 DOI: 10.1016/j.jocn.2024.110932] [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: 08/24/2024] [Revised: 11/04/2024] [Accepted: 11/18/2024] [Indexed: 11/28/2024]
Abstract
OBJECTIVE The aim of our study was to report the national trends of Vagus nerve stimulation (VNS) and Laser interstitial thermal therapy (LITT) and compare their outcomes in patients with medically refractory epilepsy (RE). METHODS Nationwide Inpatient Sample database (NIS, 1998-2018) was used to extract the data using the ICD-9/10 codes. Adult patients (>18 years) with a primary diagnosis of RE who underwent either VNS or LITT were included. Patient demographics, complications, length of hospital stay (LOS), discharge disposition and index-hospitalization costs were analyzed. RESULTS A cohort of 226,248 patients with RE were included, of which only 0.66 % underwent VNS (n = 1500) and 0.34 % (n = 770) underwent LITT. VNS accounted for 66 % of the surgical procedures. The use of LITT gradually increased from 2012 (0.69/1000 RE cases) to 2018 (4.43/1000 RE cases) compared to VNS (2012: 9.85/1000 RE to 2018: 5.31/1000 RE cases). Median age was similar across the cohorts (LITT: 38 years; VNS: 36 years, p = 0.33). Index hospitalization median charges were significantly lower following LITT compared to VNS (LITT: $ 115,838; VNS: $ 131,984, p < 0.0033). No differences in terms of median LOS, discharge to home, complications and median index hospitalization charges were noted between the procedures (LITT vs. VNS). CONCLUSION LITT is increasingly being performed for RE with decreasing trends for VNS. The complications profile was similar among both the procedures. Both LITT and VNS are minimally invasive and safe treatment modalities in carefully selected patients with RE.
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Affiliation(s)
- Mayur Sharma
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA; Department of Neurosurgery, University of Minnesota, Minneapolis, USA.
| | - Victoria Scott
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA
| | - Beatrice Ugiliweneza
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA
| | - Dengzhi Wang
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA
| | - Maxwell Boakye
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA
| | - Joseph Neimat
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Way, Louisville, KY 40202, USA
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Antwi P, Padron KB, Ukachukwu AEK, Fuller AT, Haglund MM. Surgery for Medication Refractory Epilepsy in Africa: A Review of Seizure Freedom Outcomes. World Neurosurg 2025; 193:1126-1132. [PMID: 39662623 DOI: 10.1016/j.wneu.2024.12.017] [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: 11/18/2024] [Accepted: 12/03/2024] [Indexed: 12/13/2024]
Abstract
BACKGROUND Epilepsy is a chronic condition that confers social stigma, reduced engagement in work and social activities, increased risks of comorbidities, and premature death. It is often treated with medications, but in about a third of patients, epilepsy may be refractory to medications. It is estimated that each year 211,456 new individuals across Africa meet criteria for surgically treatable epilepsy, and the current volume of surgically treatable epilepsy is 1,819,067 cases across the region. Here, we review previously published epilepsy surgery programs in Africa, noting their outcomes. METHODS Eligible studies reporting seizure freedom and/or quality of life outcomes after epilepsy surgeries conducted in Africa were identified through database searches on PubMed/MEDLINE, Google Scholar, and reviewing references in previously identified publications. RESULTS While more than a thousand articles were retrieved in the database search, 17 full-length articles were reviewed for eligibility, and 8 articles (likely representing 7 unique patient cohorts) were ultimately included in this study. The reviewed studies demonstrated successful implementation of programs to evaluate patients with epilepsy for surgical treatment. About 60-100% of patients in these cohorts achieved good seizure freedom outcomes within a year from surgery and secondarily had improved quality of life and reduced severity of depression. CONCLUSIONS This review demonstrates that it is feasible to establish and sustain epilepsy surgery programs in Africa, with seizure freedom outcomes comparable to those reported in studies conducted in parts of the world with higher income.
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Affiliation(s)
- Prince Antwi
- Duke University, Division of Global Neurosurgery and Neurology, Durham, North Carolina, USA; Duke University School of Medicine, Durham, North Carolina, USA; Duke University Global Health Institute, Durham, North Carolina, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA.
| | - Kevin Bode Padron
- Duke University, Division of Global Neurosurgery and Neurology, Durham, North Carolina, USA; Duke University School of Medicine, Durham, North Carolina, USA
| | - Alvan-Emeka K Ukachukwu
- Duke University, Division of Global Neurosurgery and Neurology, Durham, North Carolina, USA; Duke University School of Medicine, Durham, North Carolina, USA; Duke University Global Health Institute, Durham, North Carolina, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Anthony T Fuller
- Duke University, Division of Global Neurosurgery and Neurology, Durham, North Carolina, USA; Duke University School of Medicine, Durham, North Carolina, USA; Duke University Global Health Institute, Durham, North Carolina, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael M Haglund
- Duke University, Division of Global Neurosurgery and Neurology, Durham, North Carolina, USA; Duke University School of Medicine, Durham, North Carolina, USA; Duke University Global Health Institute, Durham, North Carolina, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
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Brunette-Clément T, Chang JW, Owens GC, Hadjinicolaou A, Weil AG, Fallah A. Brain Stiffness Correlates With Pathological Tissue in Patients With Drug-Resistant Epilepsy Due to Rasmussen Encephalitis and Focal Cortical Dysplasia. Oper Neurosurg (Hagerstown) 2024:01787389-990000000-01350. [PMID: 39329515 DOI: 10.1227/ons.0000000000001387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/10/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Complete resection of epileptogenic zone is the single most important determinant of favorable seizure outcomes in resective surgery. However, identifying and resecting this zone is challenging in patients harboring diffuse; MRI-occult malformations of cortical development, such as focal cortical dysplasia; or acquired pathology, such as Rasmussen encephalitis. Intraoperative adjuncts that can aid in identifying the lesion and/or epileptogenic zone can optimize the extent of resection and seizure outcome. We sought to study a novel intraoperative tool, brain tonometer, to measure brain stiffness and correlate with histopathological and radiological findings. METHODS Brain stiffness was measured at various presumed normal and abnormal areas of the cortex during surgery in 2 patients with drug-resistant epilepsy. These results were correlated with preoperative and intraoperative neuroimaging and histopathology. RESULTS We found brain stiffness correlated well with the degree of inflammation and cortical disorganization. CONCLUSION Brain tonometry may help to intraoperatively identify inflammatory brain tissue along with structural and histopathological abnormalities. In select cases, this could potentially allow more tailored resections of the underlying lesion, to ensure complete removal of the epileptogenic lesion and improve the probability of achieving seizure freedom, while sparing normal brain leading to better functional outcomes.
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Affiliation(s)
- Tristan Brunette-Clément
- Department of Surgery, Division of Neurosurgery, Sainte-Justine University Hospital Center, Montreal, Quebec, Canada
- Department of Surgery, Division of Neurosurgery, University of Montreal Hospital Centre (CHUM), Montréal, Québec, Canada
| | - Julia W Chang
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Intellectual and Developmental Disabilities Research Center, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Geoffrey C Owens
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Aristides Hadjinicolaou
- Department of Pediatrics, Division of Neurology, Sainte-Justine University Hospital Centre, Montréal, Québec, Canada
- Brain and Development Research Axis, Sainte-Justine Research Center, Montréal, Québec, Canada
- Department of Neuroscience, Université de Montréal, Montréal, Québec, Canada
| | - Alexander G Weil
- Department of Surgery, Division of Neurosurgery, Sainte-Justine University Hospital Center, Montreal, Quebec, Canada
- Department of Surgery, Division of Neurosurgery, University of Montreal Hospital Centre (CHUM), Montréal, Québec, Canada
- Brain and Development Research Axis, Sainte-Justine Research Center, Montréal, Québec, Canada
- Department of Neuroscience, Université de Montréal, Montréal, Québec, Canada
- Neurosciences Axis, Research Centre of the University of Montreal Hospital Center (CRCHUM), Montréal, Québec, Canada
| | - Aria Fallah
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Brain Research Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
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Doss DJ, Shless JS, Bick SK, Makhoul GS, Negi AS, Bibro CE, Rashingkar R, Gummadavelli A, Chang C, Gallagher MJ, Naftel RP, Reddy SB, Williams Roberson S, Morgan VL, Johnson GW, Englot DJ. The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy. Brain 2024; 147:3009-3017. [PMID: 38874456 PMCID: PMC11370787 DOI: 10.1093/brain/awae189] [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: 10/20/2023] [Revised: 04/19/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024] Open
Abstract
Successful surgical treatment of drug-resistant epilepsy traditionally relies on the identification of seizure onset zones (SOZs). Connectome-based analyses of electrographic data from stereo electroencephalography (SEEG) may empower improved detection of SOZs. Specifically, connectome-based analyses based on the interictal suppression hypothesis posit that when the patient is not having a seizure, SOZs are inhibited by non-SOZs through high inward connectivity and low outward connectivity. However, it is not clear whether there are other motifs that can better identify potential SOZs. Thus, we sought to use unsupervised machine learning to identify network motifs that elucidate SOZs and investigate if there is another motif that outperforms the ISH. Resting-state SEEG data from 81 patients with drug-resistant epilepsy undergoing a pre-surgical evaluation at Vanderbilt University Medical Center were collected. Directed connectivity matrices were computed using the alpha band (8-13 Hz). Principal component analysis (PCA) was performed on each patient's connectivity matrix. Each patient's components were analysed qualitatively to identify common patterns across patients. A quantitative definition was then used to identify the component that most closely matched the observed pattern in each patient. A motif characteristic of the interictal suppression hypothesis (high-inward and low-outward connectivity) was present in all individuals and found to be the most robust motif for identification of SOZs in 64/81 (79%) patients. This principal component demonstrated significant differences in SOZs compared to non-SOZs. While other motifs for identifying SOZs were present in other patients, they differed for each patient, suggesting that seizure networks are patient specific, but the ISH is present in nearly all networks. We discovered that a potentially suppressive motif based on the interictal suppression hypothesis was present in all patients, and it was the most robust motif for SOZs in 79% of patients. Each patient had additional motifs that further characterized SOZs, but these motifs were not common across all patients. This work has the potential to augment clinical identification of SOZs to improve epilepsy treatment.
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Affiliation(s)
- Derek J Doss
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University Nashville, Nashville, TN 37235, USA
| | - Jared S Shless
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Sarah K Bick
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Ghassan S Makhoul
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University Nashville, Nashville, TN 37235, USA
| | - Aarushi S Negi
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Camden E Bibro
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Rohan Rashingkar
- Department of Computer Science, Vanderbilt University Nashville, Nashville, TN 37235, USA
| | - Abhijeet Gummadavelli
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Catie Chang
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Computer Science, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37235, USA
| | - Martin J Gallagher
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Robert P Naftel
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Shilpa B Reddy
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Shawniqua Williams Roberson
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Victoria L Morgan
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Computer Science, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Radiology and Biomedical Imaging, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Graham W Johnson
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University Nashville, Nashville, TN 37235, USA
| | - Dario J Englot
- Department of Biomedical Engineering, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Vanderbilt Institute for Surgery and Engineering (VISE), Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Department of Computer Science, Vanderbilt University Nashville, Nashville, TN 37235, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37235, USA
- Department of Radiology and Biomedical Imaging, Vanderbilt University Medical Center, Nashville, TN 37235, USA
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Yin N, Han Y, Wang L, Yang F, Li J, Xu G. Localization of epileptogenic zone based on time-varying effective networks. Epilepsy Res 2024; 205:107409. [PMID: 39002390 DOI: 10.1016/j.eplepsyres.2024.107409] [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: 04/18/2024] [Revised: 06/13/2024] [Accepted: 07/01/2024] [Indexed: 07/15/2024]
Abstract
Surgical resection of the epileptogenic zone (EZ) is an effective method for treating drug-resistant epilepsy. At present, the accuracy of EZ localization needs to be further improved. The characteristics of graph theory based on partial directed coherence networks have been applied to the localization of EZ, but the application of network control theory to effective networks to locate EZ is rarely reported. In this study, the method of partial directed coherence analysis was utilized to construct the time-varying effective brain networks of stereo-electroencephalography (SEEG) signals from 20 seizures in 12 patients. Combined with graph theory and network control theory, the differences in network characteristics between epileptogenic and non-epileptogenic zones during seizures were analyzed. We also used dung beetle optimized support vector machine classification model to evaluate the localization effect of EZ based on brain network characteristics of graph theory and controllability. The results showed that the classification of the average controllability feature was the best, and the area under the receiver operating characteristic (ROC) curve (AUC) was 0.9505, which is 1.32 % and 1.97 % higher than the traditional methods. The AUC value increased to 0.9607 after integrating the average controllability with other features. This study proved the effectiveness of controllability characteristic in identifying the EZ and provided a theoretical basis for the clinical application of network controllability in the EZ.
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Affiliation(s)
- Ning Yin
- State Key Laboratory of Reliability and Intelligentization of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Yamei Han
- State Key Laboratory of Reliability and Intelligentization of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Le Wang
- Functional Neurosurgery Department of Tianjin Huanhu Hospital, Tianjin 300350, China
| | - Fan Yang
- State Key Laboratory of Reliability and Intelligentization of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Jicheng Li
- State Key Laboratory of Reliability and Intelligentization of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Guizhi Xu
- State Key Laboratory of Reliability and Intelligentization of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China
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10
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Ma Q, Chen G, Li Y, Guo Z, Zhang X. The molecular genetics of PI3K/PTEN/AKT/mTOR pathway in the malformations of cortical development. Genes Dis 2024; 11:101021. [PMID: 39006182 PMCID: PMC11245990 DOI: 10.1016/j.gendis.2023.04.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 04/07/2023] [Accepted: 04/30/2023] [Indexed: 07/16/2024] Open
Abstract
Malformations of cortical development (MCD) are a group of developmental disorders characterized by abnormal cortical structures caused by genetic or harmful environmental factors. Many kinds of MCD are caused by genetic variation. MCD is the common cause of intellectual disability and intractable epilepsy. With rapid advances in imaging and sequencing technologies, the diagnostic rate of MCD has been increasing, and many potential genes causing MCD have been successively identified. However, the high genetic heterogeneity of MCD makes it challenging to understand the molecular pathogenesis of MCD and to identify effective targeted drugs. Thus, in this review, we outline important events of cortical development. Then we illustrate the progress of molecular genetic studies about MCD focusing on the PI3K/PTEN/AKT/mTOR pathway. Finally, we briefly discuss the diagnostic methods, disease models, and therapeutic strategies for MCD. The information will facilitate further research on MCD. Understanding the role of the PI3K/PTEN/AKT/mTOR pathway in MCD could lead to a novel strategy for treating MCD-related diseases.
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Affiliation(s)
- Qing Ma
- NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang 150000, China
| | - Guang Chen
- Department of Urology, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang 150000, China
| | - Ying Li
- NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang 150000, China
- Department of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, Heilongjiang 150000, China
| | - Zhenming Guo
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200120, China
| | - Xue Zhang
- NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang 150000, China
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11
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Kamada C, Enatsu R, Imataka S, Kanno A, Ochi S, Mikuni N. Functional Brain Mapping Using Depth Electrodes. World Neurosurg 2024; 188:e288-e296. [PMID: 38796150 DOI: 10.1016/j.wneu.2024.05.098] [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: 04/04/2024] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 05/28/2024]
Abstract
OBJECTIVE This study investigated the neurologic symptoms and stimulus intensities in the stimulation of deep structures and subcortical fibers with the depth electrodes. METHODS Seventeen patients with drug-refractory epilepsy who underwent functional brain mapping with the depth electrodes were enrolled. The 50 Hz electrical stimulation was applied, and the diffusion tensor image was used to identify subcortical fibers. The responsible structures and stimulus intensities for the induced neurologic symptoms were evaluated. RESULTS Neurologic symptoms were induced in 11 of 17 patients. The opercular stimulation elicited the neurologic symptoms in 6 patients at the median threshold of 4.0 mA (visceral/face/hand sensory, hand/throat motor, negative motor and auditory symptoms). The insular stimulation induced the neurologic symptoms in 4 patients at the median threshold of 4.0 mA (auditory, negative motor, and sensory symptoms). The stimulation of subcortical fibers was induced in 5 of 9 patients at the median threshold of 4.5 mA. The thresholds of depth electrodes were significantly lower than those of subdural electrodes in 8 patients who used both subdural and depth electrodes and induced symptoms with both electrodes. CONCLUSIONS The stimulation of depth electrodes can identify the function of deep structures and subcortical fibers with lower intensities than subdural electrodes.
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Affiliation(s)
- Chie Kamada
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan
| | - Rei Enatsu
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
| | - Seiichiro Imataka
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan
| | - Aya Kanno
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan
| | - Satoko Ochi
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan
| | - Nobuhiro Mikuni
- Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan
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12
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Wu S, Issa NP, Rose SL, Haider HA, Nordli DR, Towle VL, Warnke PC, Tao JX. Depth versus surface: A critical review of subdural and depth electrodes in intracranial electroencephalographic studies. Epilepsia 2024; 65:1868-1878. [PMID: 38722693 DOI: 10.1111/epi.18002] [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: 01/02/2024] [Revised: 04/05/2024] [Accepted: 04/24/2024] [Indexed: 07/17/2024]
Abstract
Intracranial electroencephalographic (IEEG) recording, using subdural electrodes (SDEs) and stereoelectroencephalography (SEEG), plays a pivotal role in localizing the epileptogenic zone (EZ). SDEs, employed for superficial cortical seizure foci localization, provide information on two-dimensional seizure onset and propagation. In contrast, SEEG, with its three-dimensional sampling, allows exploration of deep brain structures, sulcal folds, and bihemispheric networks. SEEG offers the advantages of fewer complications, better tolerability, and coverage of sulci. Although both modalities allow electrical stimulation, SDE mapping can tessellate cortical gyri, providing the opportunity for a tailored resection. With SEEG, both superficial gyri and deep sulci can be stimulated, and there is a lower risk of afterdischarges and stimulation-induced seizures. Most systematic reviews and meta-analyses have addressed the comparative effectiveness of SDEs and SEEG in localizing the EZ and achieving seizure freedom, although discrepancies persist in the literature. The combination of SDEs and SEEG could potentially overcome the limitations inherent to each technique individually, better delineating seizure foci. This review describes the strengths and limitations of SDE and SEEG recordings, highlighting their unique indications in seizure localization, as evidenced by recent publications. Addressing controversies in the perceived usefulness of the two techniques offers insights that can aid in selecting the most suitable IEEG in clinical practice.
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Affiliation(s)
- Shasha Wu
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Naoum P Issa
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Sandra L Rose
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Hiba A Haider
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Douglas R Nordli
- Department of Pediatrics, University of Chicago, Chicago, Illinois, USA
| | - Vernon L Towle
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Peter C Warnke
- Department of Neurological Surgery, University of Chicago, Chicago, Illinois, USA
| | - James X Tao
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
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13
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Zimmermann N, Pontes M, da Silva Fontana R, D'Andrea Meira I, Fonseca R, Delaere FJ. The modified Ruche visuospatial learning test (RUCHE-M) for the assessment of visuospatial episodic memory in patients with temporal lobe epilepsy: Preliminary evidence for the investigation of memory binding. APPLIED NEUROPSYCHOLOGY. ADULT 2024; 31:412-427. [PMID: 35133219 DOI: 10.1080/23279095.2022.2031200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
INTRODUCTION The Ruche test is a visuospatial form of the Rey auditory verbal learning test (RAVLT), with initial evidence of utility in the diagnosis of temporal lobe epilepsy (TLE)-related memory disorders. AIMS To present the translation to Brazilian Portuguese and modification of the Ruche test (RUCHE-M) and compare the RUCHE-M and RAVLT performance between patients with right and left TLE. METHODS Twenty-five neuropsychologists participated in instrument adaptation. Thirty-seven patients with right (n = 19) and left (n = 18) TLE participated. Data were compared with the Mann-Whitney U test. RESULTS All specialists considered the final RUCHE-M to be adequate. The RUCHE-M forgetting speed index (FSI) score and several RAVLT scores differed significantly between patients with right and left TLE. CONCLUSION The RUCHE-M showed limited utility for the assessment of visuospatial episodic memory in patients with TLE. The manipulation of memory binding as demonstrated by FSI score seems to be a promising paradigm for the assessment of right hippocampal function.
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Affiliation(s)
- Nicolle Zimmermann
- Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Paulo Niemeyer State Brain Institute, Rio de Janeiro, Brazil
| | - Monique Pontes
- Paulo Niemeyer State Brain Institute, Rio de Janeiro, Brazil
| | | | | | - Rochele Fonseca
- Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
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14
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Janson A, Sainburg L, Akbarian B, Johnson GW, Rogers BP, Chang C, Englot DJ, Morgan VL. Indirect structural changes and reduced controllability after temporal lobe epilepsy resection. Epilepsia 2024; 65:675-686. [PMID: 38240699 PMCID: PMC10948308 DOI: 10.1111/epi.17889] [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: 09/05/2023] [Revised: 12/08/2023] [Accepted: 01/08/2024] [Indexed: 03/06/2024]
Abstract
OBJECTIVE To understand the potential behavioral and cognitive effects of mesial temporal resection for temporal lobe epilepsy (TLE) a method is required to characterize network-wide functional alterations caused by a discrete structural disconnection. The objective of this study was to investigate network-wide alterations in brain dynamics of patients with TLE before and after surgical resection of the seizure focus using average regional controllability (ARC), a measure of the ability of a node to influence network dynamics. METHODS Diffusion-weighted imaging (DWI) data were acquired in 27 patients with drug-resistant unilateral mesial TLE who underwent selective amygdalohippocampectomy. Imaging data were acquired before and after surgery and a presurgical and postsurgical structural connectome was generated from whole-brain tractography. Edge-wise strength, node strength, and node ARC were compared before and after surgery. Direct and indirect edge-wise strength changes were identified using patient-specific simulated resections. Direct edges were defined as primary edges disconnected by the resection zone itself. Indirect edges were secondary measured edge strength changes. Changes in node strength and ARC were then related to both direct and indirect edge changes. RESULTS We found nodes with significant postsurgical changes in both node strength and ARC surrounding the resection zone (paired t tests, p < .05, Bonferroni corrected). ARC identified additional postsurgical changes in nodes outside of the resection zone within the ipsilateral occipital lobe, which were associated with indirect edge-wise strength changes of the postsurgical network (Fisher's exact test, p < .001). These indirect edge-wise changes were facilitated through the "hub" nodes including the thalamus, putamen, insula, and precuneus. SIGNIFICANCE Discrete network disconnection from TLE resection results in widespread structural and functional changes not predicted by disconnection alone. These can be well characterized by dynamic controllability measures such as ARC and may be useful for investigating changes in brain function that may contribute to seizure recurrence and behavioral or cognitive changes after surgery.
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Affiliation(s)
- Andrew Janson
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lucas Sainburg
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Behnaz Akbarian
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Graham W Johnson
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Baxter P Rogers
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Catie Chang
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Dario J Englot
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Victoria L Morgan
- Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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15
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Frauscher B, Mansilla D, Abdallah C, Astner-Rohracher A, Beniczky S, Brazdil M, Gnatkovsky V, Jacobs J, Kalamangalam G, Perucca P, Ryvlin P, Schuele S, Tao J, Wang Y, Zijlmans M, McGonigal A. Learn how to interpret and use intracranial EEG findings. Epileptic Disord 2024; 26:1-59. [PMID: 38116690 DOI: 10.1002/epd2.20190] [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: 07/18/2023] [Revised: 10/21/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023]
Abstract
Epilepsy surgery is the therapy of choice for many patients with drug-resistant focal epilepsy. Recognizing and describing ictal and interictal patterns with intracranial electroencephalography (EEG) recordings is important in order to most efficiently leverage advantages of this technique to accurately delineate the seizure-onset zone before undergoing surgery. In this seminar in epileptology, we address learning objective "1.4.11 Recognize and describe ictal and interictal patterns with intracranial recordings" of the International League against Epilepsy curriculum for epileptologists. We will review principal considerations of the implantation planning, summarize the literature for the most relevant ictal and interictal EEG patterns within and beyond the Berger frequency spectrum, review invasive stimulation for seizure and functional mapping, discuss caveats in the interpretation of intracranial EEG findings, provide an overview on special considerations in children and in subdural grids/strips, and review available quantitative/signal analysis approaches. To be as practically oriented as possible, we will provide a mini atlas of the most frequent EEG patterns, highlight pearls for its not infrequently challenging interpretation, and conclude with two illustrative case examples. This article shall serve as a useful learning resource for trainees in clinical neurophysiology/epileptology by providing a basic understanding on the concepts of invasive intracranial EEG.
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Affiliation(s)
- B Frauscher
- Department of Neurology, Duke University Medical Center and Department of Biomedical Engineering, Duke Pratt School of Engineering, Durham, North Carolina, USA
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - D Mansilla
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
- Neurophysiology Unit, Institute of Neurosurgery Dr. Asenjo, Santiago, Chile
| | - C Abdallah
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - A Astner-Rohracher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - S Beniczky
- Danish Epilepsy Centre, Dianalund, Denmark
- Aarhus University, Aarhus, Denmark
| | - M Brazdil
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Member of the ERN-EpiCARE, Brno, Czechia
- Behavioral and Social Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - V Gnatkovsky
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - J Jacobs
- Department of Paediatrics and Department of Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - G Kalamangalam
- Department of Neurology, University of Florida, Gainesville, Florida, USA
- Wilder Center for Epilepsy Research, University of Florida, Gainesville, Florida, USA
| | - P Perucca
- Epilepsy Research Centre, Department of Medicine (Austin Health), University of Melbourne, Melbourne, Victoria, Australia
- Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Health, Melbourne, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - P Ryvlin
- Department of Clinical Neurosciences, CHUV, Lausanne University Hospital, Lausanne, Switzerland
| | - S Schuele
- Department of Neurology, Feinberg School of Medicine, Northwestern Memorial Hospital, Chicago, Illinois, USA
| | - J Tao
- Department of Neurology, The University of Chicago, Chicago, Illinois, USA
| | - Y Wang
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Wilder Center for Epilepsy Research, University of Florida, Gainesville, Florida, USA
| | - M Zijlmans
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - A McGonigal
- Department of Neurosciences, Mater Misericordiae Hospital, Brisbane, Queensland, Australia
- Mater Research Institute, Faculty of Medicine, University of Queensland, St Lucia, Queensland, Australia
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16
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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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17
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Doss DJ, Johnson GW, Englot DJ. Imaging and Stereotactic Electroencephalography Functional Networks to Guide Epilepsy Surgery. Neurosurg Clin N Am 2024; 35:61-72. [PMID: 38000842 PMCID: PMC10676462 DOI: 10.1016/j.nec.2023.09.001] [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] [Indexed: 11/26/2023]
Abstract
Epilepsy surgery is a potentially curative treatment of drug-resistant epilepsy that has remained underutilized both due to inadequate referrals and incomplete localization hypotheses. The complexity of patients evaluated for epilepsy surgery has increased, thus new approaches are necessary to treat these patients. The paradigm of epilepsy surgery has evolved to match this challenge, now considering the entire seizure network with the goal of disrupting it through resection, ablation, neuromodulation, or a combination. The network paradigm has the potential to aid in identification of the seizure network as well as treatment selection.
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Affiliation(s)
- Derek J Doss
- Department of Biomedical Engineering, Vanderbilt University, PMB 351631, 2301 Vanderbilt Place, Nashville, TN 37235, USA; Vanderbilt University Institute of Imaging Science (VUIIS), 1161 21st Avenue South, Medical Center North AA-1105, Nashville, TN 37232, USA; Vanderbilt Institute for Surgery and Engineering (VISE), 1161 21st Avenue South, MCN S2323, Nashville, TN 37232, USA
| | - Graham W Johnson
- Department of Biomedical Engineering, Vanderbilt University, PMB 351631, 2301 Vanderbilt Place, Nashville, TN 37235, USA; Vanderbilt University Institute of Imaging Science (VUIIS), 1161 21st Avenue South, Medical Center North AA-1105, Nashville, TN 37232, USA; Vanderbilt Institute for Surgery and Engineering (VISE), 1161 21st Avenue South, MCN S2323, Nashville, TN 37232, USA
| | - Dario J Englot
- Department of Biomedical Engineering, Vanderbilt University, PMB 351631, 2301 Vanderbilt Place, Nashville, TN 37235, USA; Vanderbilt University Institute of Imaging Science (VUIIS), 1161 21st Avenue South, Medical Center North AA-1105, Nashville, TN 37232, USA; Vanderbilt Institute for Surgery and Engineering (VISE), 1161 21st Avenue South, MCN S2323, Nashville, TN 37232, USA; Department of Neurological Surgery, Vanderbilt University Medical Center, 1161 21st Avenue South, T4224 Medical Center North, Nashville, TN 37232, USA; Department of Electrical and Computer Engineering, Vanderbilt University, PMB 351824, 2301 Vanderbilt Place, Nashville, TN 37235, USA; Department of Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, Nashville, TN 37232, USA.
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18
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Shatokhin AA, Karpov SM, Kushnareva EV, Peshkova IA, Shatokhin AV, Vyshlova IA. The experience of applying vagus nerve stimulation in treatment of pharmacoresistant epilepsy. EPILEPSY AND PAROXYSMAL CONDITIONS 2023; 15:348-353. [DOI: 10.17749/2077-8333/epi.par.con.2023.160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
The article presents a clinical case of adult patient with pharmacoresistant epilepsy lacking focal cerebral morphological changes, who was surgically implanted with a vagus nerve stimulation (VNS) system. The results of 6 months-long treatment were analyzed. In addition, available publications were reviewed to evaluate effectiveness of the VNS system in different patient groups. Current clinical case was featured with significant positive dynamics revealed by regression of epileptic seizures and no recorded epileptiform activity based on electroencephalography during VNS stimulation. In the absence of morphological cerebral focal changes in adult patients, installation of the VNS system is an effective and safe method to control pharmacoresistant epilepsy.
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19
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Orhan Varoglu A, Avarisli A, Keskin H, Garipbas N. Comparing neuropsychological functioning in Turkish patients with right and left temporal lobe epilepsy. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-7. [PMID: 38015648 DOI: 10.1080/23279095.2023.2286504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
We compared neuropsychiatric evaluations in temporal lobe epilepsy according to the lateralized hemisphere. Forty-one (68.3%) left-sided temporal lobe epilepsy (LTLE) were compared to 19 right-sided temporal lobe epilepsy (RTLE) (31.7%) (p < 0.001). RTLE mean age was 37 (22-46) years, and LTLE mean age 38 was (30-42). RTLE disease duration was 10 (6-20) years, and LTLE was 22 (10-33) (p < 0.013). Gender (man/woman) for RTLE was 7/12, and for LTLE was 18/23. LTLE scored poorer on the Wechsler Memory Scale (WMS)-III's Mental Control Months-error, WMS-V's "Forward Number Range" and "Backward Number Range" than RTLE (p < 0.017, p < 0.023, p < 0.004). There were differences between hemispheres for "Number of Items Remembered with a Hint" and "Total number of Recalled Items" (WMS-IV) (p < 0.038, p < 0.045). LTLE had lower scores in the Verbal Fluency -K-A-S letters words and WAIS (Wechsler Adult Intelligence Scale) similarity than RTLE (p < 0.019, p < 0.024, p < 0.033, p < 0.026). Oktem and Boston-number of Self-Named Items Tests were poorer in LTLE than RTLE (p < 0.05, p < 0.043). Mental Control Months-error (WMS-III), "Total Number of Recalled Items", "Number of Items Remembered with Hint" (WMS-IV), forward and backward number range (WMS-V), Oktem, Verbal Fluency -K,-A,-S letters words, WAIS similarity, and Boston-number of Self-Named Items tests, can help identify lateralization, particularly in LTLE.
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Affiliation(s)
- Asuman Orhan Varoglu
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Aysenur Avarisli
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Havva Keskin
- Department of Internal Medicine, Istanbul Medeniyet University, Goztepe Training and Research Hospital, Istanbul,Turkey
| | - Nilay Garipbas
- Department of Psychiatry, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
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20
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Gorbachuk M, Machetanz K, Weinbrenner E, Grimm F, Wuttke TV, Wang S, Ethofer S, Tatagiba M, Rona S, Honegger J, Naros G. Robot-assisted stereoencephalography vs subdural electrodes in the evaluation of temporal lobe epilepsy. Epilepsia Open 2023; 8:888-897. [PMID: 37149851 PMCID: PMC10472365 DOI: 10.1002/epi4.12756] [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: 10/15/2022] [Accepted: 04/30/2023] [Indexed: 05/09/2023] Open
Abstract
OBJECTIVE Invasive video-electroencephalography (iVEEG) is the gold standard for evaluation of refractory temporal lobe epilepsy before second stage resective surgery (SSRS). Traditionally, the presumed seizure onset zone (SOZ) has been covered with subdural electrodes (SDE), a very invasive procedure prone to complications. Temporal stereoelectroencephalography (SEEG) with conventional frame-based stereotaxy is time-consuming and impeded by the geometry of the frame. The introduction of robotic assistance promised a simplification of temporal SEEG implantation. However, the efficacy of temporal SEEG in iVEEG remains unclear. The aim of this study was therefore to describe the efficiency and efficacy of SEEG in iVEEG of temporal lobe epilepsy. METHODS This retrospective study enrolled 60 consecutive patients with medically intractable epilepsy who underwent iVEEG of a potential temporal SOZ by SDE (n = 40) or SEEG (n = 20). Surgical time efficiency was analyzed by the skin-to-skin time (STS) and the total procedure time (TPT) and compared between groups (SDE vs SEEG). Surgical risk was depicted by the 90-day complication rate. Temporal SOZ were treated by SSRS. Favorable outcome (Engel°1) was assessed after 1 year of follow-up. RESULTS Robot-assisted SEEG significantly reduced the duration of surgery (STS and TPT) compared to SDE implantations. There was no significant difference in complication rates. Notably, all surgical revisions in this study were attributed to SDE. Unilateral temporal SOZ was detected in 34/60 cases. Of the 34 patients, 30 underwent second stage SSRS. Both SDE and SEEG had a good predictive value for the outcome of temporal SSRS with no significant group difference. SIGNIFICANCE Robot-assisted SEEG improves the accessibility of the temporal lobe for iVEEG by increasing surgical time efficiency and by simplifying trajectory selection without losing its predictive value for SSRS.
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Affiliation(s)
- Mykola Gorbachuk
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Kathrin Machetanz
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Eliane Weinbrenner
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Florian Grimm
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Thomas V. Wuttke
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Sophie Wang
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Silke Ethofer
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Marcos Tatagiba
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Sabine Rona
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Jürgen Honegger
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
| | - Georgios Naros
- Neurosurgical Clinic, Department of Neurosurgery and NeurotechnologyEberhard Karls UniversityTuebingenGermany
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21
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Ooi QY, Qin X, Yuan Y, Zhang X, Yao Y, Hao H, Li L. Alteration of Excitation/Inhibition Imbalance in the Hippocampus and Amygdala of Drug-Resistant Epilepsy Patients Treated with Acute Vagus Nerve Stimulation. Brain Sci 2023; 13:976. [PMID: 37508908 PMCID: PMC10377456 DOI: 10.3390/brainsci13070976] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/09/2023] [Accepted: 06/16/2023] [Indexed: 07/30/2023] Open
Abstract
An imbalance between excitation (E) and inhibition (I) in the brain has been identified as a key pathophysiology of epilepsy over the years. The hippocampus and amygdala in the limbic system play a crucial role in the initiation and conduction of epileptic seizures and are often referred to as the transfer station and amplifier of seizure activities. Existing animal and imaging studies reveal that the hippocampus and amygdala, which are significant parts of the vagal afferent network, can be modulated in order to generate an antiepileptic effect. Using stereo-electroencephalography (SEEG) data, we examined the E/I imbalance in the hippocampus and amygdala of ten drug-resistant epilepsy children treated with acute vagus nerve stimulation (VNS) by estimating the 1/f power slope of hippocampal and amygdala signals in the range of 1-80 Hz. While the change in the 1/f power slope from VNS-BASE varied between different stimulation amplitudes and brain regions, it was more prominent in the hippocampal region. In the hippocampal region, we found a flatter 1/f power slope during VNS-ON in patients with good responsiveness to VNS under the optimal stimulation amplitude, indicating that the E/I imbalance in the region was improved. There was no obvious change in 1/f power slope for VNS poor responders. For VNS non-responders, the 1/f power slope slightly increased when the stimulation was applied. Overall, this study implies that the regulation of E/I imbalance in the epileptic brain, especially in the hippocampal region, may be an acute intracranial effect of VNS.
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Affiliation(s)
- Qian Yi Ooi
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Xiaoya Qin
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
- Precision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518071, China
| | - Yuan Yuan
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
- Precision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518071, China
| | - Xiaobin Zhang
- Department of Functional Neurosurgery, Xiamen Humanity Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Yi Yao
- Department of Functional Neurosurgery, Xiamen Humanity Hospital, Fujian Medical University, Fuzhou 350005, China
- Surgery Division, Epilepsy Center, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Hongwei Hao
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Luming Li
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
- Precision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518071, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
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22
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Wu Y, Zhang Z, Liang P, Li L, Zou B, Wang D, Dong X, Tang H, Qiu H, Zhai X. Does Adjustment of Antiseizure Medication Regimen after Failed Epilepsy Surgery Improve Outcomes? MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59040785. [PMID: 37109743 PMCID: PMC10146799 DOI: 10.3390/medicina59040785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/08/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023]
Abstract
Background and Objectives: After failed epilepsy surgery, patients often revert to an antiseizure medication (ASM) ASM regimen, which can be adjusted or optimized in three ways: increasing the dose, alternative therapy, and combination therapy. It is unclear which type of antiseizure medication adjustment method can improve outcomes. Materials and Methods: Children who underwent failed epileptic resection surgery at the Department of Neurosurgery, Children's Hospital of Chongqing Medical University between January 2015 and December 2021 were included in this cohort, who were reviewed for whether they underwent adjustment of ASM with increased dose, alternative therapy, or combination therapy. The seizure outcome and quality of life (QoL) were assessed. Two-tailed Fisher exact test and Mann-Whitney U test were used for statistical analysis. Results: Sixty-three children with failed surgery were included for further analysis, with a median follow-up time of 53 months. The median seizure recurrence time was 4 months. At the last follow-up, 36.5% (n = 23) of patients achieved seizure freedom, 41.3% (n = 26) achieved seizure remission, and 61.9% (n = 39) had a good QoL. None of the three types of ASM adjustment improved children's outcomes, whether considered in terms of seizure-free rate, seizure remission rate, or QoL. Early recurrences were significantly associated with decreased probability of seizure freedom (p = 0.02), seizure remission (p = 0.02), and a good QoL (p = 0.01). Conclusions: Children who underwent failed epilepsy surgery remains some potential for late seizure remission from ASM. Yet adjusting ASM regimen does not increase the probability of seizure remission nor does it improve the QoL. Clinicians should complete evaluations and consider the need for other antiepileptic treatment as soon as possible after surgery failed, especially when dealing with children with an early recurrence.
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Affiliation(s)
- Yuxin Wu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Zaiyu Zhang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Ping Liang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Lusheng Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Bin Zou
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Difei Wang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Xinyu Dong
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Haotian Tang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Hanli Qiu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
| | - Xuan Zhai
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Department of Neurosurgery, Children's Hospital of Chongqing Medical University, Chongqing 400015, China
- Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Chongqing 400015, China
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23
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Johnson GW, Cai LY, Doss DJ, Jiang JW, Negi AS, Narasimhan S, Paulo DL, González HFJ, Roberson SW, Bick SK, Chang CE, Morgan VL, Wallace MT, Englot DJ. Localizing seizure onset zones in surgical epilepsy with neurostimulation deep learning. J Neurosurg 2023; 138:1002-1007. [PMID: 36152321 PMCID: PMC10619627 DOI: 10.3171/2022.8.jns221321] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/04/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE In drug-resistant temporal lobe epilepsy, automated tools for seizure onset zone (SOZ) localization that use brief interictal recordings could supplement presurgical evaluations and improve care. Thus, the authors sought to localize SOZs by training a multichannel convolutional neural network on stereoelectroencephalography (SEEG) cortico-cortical evoked potentials. METHODS The authors performed single-pulse electrical stimulation in 10 drug-resistant temporal lobe epilepsy patients implanted with SEEG. Using 500,000 unique poststimulation SEEG epochs, the authors trained a multichannel 1-dimensional convolutional neural network to determine whether an SOZ had been stimulated. RESULTS SOZs were classified with mean sensitivity of 78.1% and specificity of 74.6% according to leave-one-patient-out testing. To achieve maximum accuracy, the model required a 0- to 350-msec poststimulation time period. Post hoc analysis revealed that the model accurately classified unilateral versus bilateral mesial temporal lobe seizure onset, as well as neocortical SOZs. CONCLUSIONS This was the first demonstration, to the authors' knowledge, that a deep learning framework can be used to accurately classify SOZs with single-pulse electrical stimulation-evoked responses. These findings suggest that accurate classification of SOZs relies on a complex temporal evolution of evoked responses within 350 msec of stimulation. Validation in a larger data set could provide a practical clinical tool for the presurgical evaluation of drug-resistant epilepsy.
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Affiliation(s)
- Graham W. Johnson
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
| | - Leon Y. Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
| | - Derek J. Doss
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
| | - Jasmine W. Jiang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Aarushi S. Negi
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Saramati Narasimhan
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Danika L. Paulo
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hernán F. J. González
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
| | - Shawniqua Williams Roberson
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sarah K. Bick
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Catie E. Chang
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville
| | - Victoria L. Morgan
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mark T. Wallace
- Department of Hearing & Speech Sciences, Vanderbilt University, Nashville
- Department of Psychology, Vanderbilt University, Nashville
- Departments of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville
- Department of Pharmacology, Vanderbilt University, Nashville
| | - Dario J. Englot
- Department of Biomedical Engineering, Vanderbilt University, Nashville
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
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24
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Charalambous M, Fischer A, Potschka H, Walker MC, Raedt R, Vonck K, Boon P, Lohi H, Löscher W, Worrell G, Leeb T, McEvoy A, Striano P, Kluger G, Galanopoulou AS, Volk HA, Bhatti SFM. Translational veterinary epilepsy: A win-win situation for human and veterinary neurology. Vet J 2023; 293:105956. [PMID: 36791876 DOI: 10.1016/j.tvjl.2023.105956] [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: 03/22/2022] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023]
Abstract
Epilepsy is a challenging multifactorial disorder with a complex genetic background. Our current understanding of the pathophysiology and treatment of epilepsy has substantially increased due to animal model studies, including canine studies, but additional basic and clinical research is required. Drug-resistant epilepsy is an important problem in both dogs and humans, since seizure freedom is not achieved with the available antiseizure medications. The evaluation and exploration of pharmacological and particularly non-pharmacological therapeutic options need to remain a priority in epilepsy research. Combined efforts and sharing knowledge and expertise between human medical and veterinary neurologists are important for improving the treatment outcomes or even curing epilepsy in dogs. Such interactions could offer an exciting approach to translate the knowledge gained from people and rodents to dogs and vice versa. In this article, a panel of experts discusses the similarities and knowledge gaps in human and animal epileptology, with the aim of establishing a common framework and the basis for future translational epilepsy research.
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Affiliation(s)
- Marios Charalambous
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover 30559, Germany.
| | - Andrea Fischer
- Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University Munich, Munich 80539, Germany
| | - Heidrun Potschka
- Institute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University, Munich 80539, Germany
| | - Matthew C Walker
- Institute of Neurology, University College London, London WC1N 3JD, UK
| | - Robrecht Raedt
- Department of Neurology, 4brain, Ghent University, Ghent 9000, Belgium
| | - Kristl Vonck
- Department of Neurology, 4brain, Ghent University, Ghent 9000, Belgium
| | - Paul Boon
- Department of Neurology, 4brain, Ghent University, Ghent 9000, Belgium
| | - Hannes Lohi
- Department of Veterinary Biosciences, Department of Medical and Clinical Genetics, and Folkhälsan Research Center, University of Helsinki, Helsinki 00014, Finland
| | - Wolfgang Löscher
- Department of Pharmacology, Toxicology, and Pharmacy, University of Veterinary Medicine Hannover, Hannover 30559, Germany
| | | | - Tosso Leeb
- Institute of Genetics, University of Bern, Bern 3001, Switzerland
| | - Andrew McEvoy
- Institute of Neurology, University College London, London WC1N 3JD, UK
| | - Pasquale Striano
- IRCCS 'G. Gaslini', Genova 16147, Italy; Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy
| | - Gerhard Kluger
- Research Institute, Rehabilitation, Transition-Palliation', PMU Salzburg, Salzburg 5020, Austria; Clinic for Neuropediatrics and Neurorehabilitation, Epilepsy Center for Children and Adolescents, Schoen Clinic Vogtareuth, Vogtareuth 83569, Germany
| | - Aristea S Galanopoulou
- Saul R Korey Department of Neurology, Isabelle Rapin Division of Child Neurology, Dominick P. Purpura Department of Neuroscience, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Holger A Volk
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover 30559, Germany
| | - Sofie F M Bhatti
- Faculty of Veterinary Medicine, Small Animal Department, Ghent University, Merelbeke 9820, Belgium
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25
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Oliveira LPD, Pérez-Enríquez C, Barguilla A, Langohr K, Conesa G, Infante N, Principe A, Rocamora R. Stereo-electroencephalography-guided radiofrequency thermocoagulation in patients with MRI-negative focal epilepsy. J Neurosurg 2023; 138:837-846. [PMID: 35962969 DOI: 10.3171/2022.6.jns22733] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/13/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Coupled with stereo-electroencephalography (SEEG), radiofrequency thermocoagulation (RFTC) has emerged as a therapeutic alternative for patients with refractory focal epilepsy, with proven safe but highly variable results across studies. The authors aimed to describe the outcomes and safety of SEEG-RFTC, focusing on patients with MRI-negative epilepsy. METHODS A retrospective observational study was conducted on patients evaluated by SEEG in the authors' center. Of 84 total cases, 55 underwent RFTC, with 31 MRI-negative epilepsies that were ultimately included in the study. The primary outcome was freedom from disabling seizures at last follow-up. Secondary outcomes were reduction in seizure frequency (RFTC response = seizure frequency reduction > 50%), peri-interventional complications, and neuropsychological outcomes. Potential factors influencing post-RFTC outcome were considered by comparing different variables between responders and nonresponders. RESULTS The mean follow-up period was 30.9 months (range 7.1-69.8 months). Three patients underwent subsequent resection/laser interstitial thermal therapy within the 1st year after RFTC failure. All other patients completed a minimum follow-up period of 1 year. Fourteen patients (45.2%) showed at least a 50% reduction in seizure frequency (responders), and 8 were seizure free (25.8% of the whole cohort). One case showed a permanent complication not directly related to thermolesions. Most patients (76%) showed no significant cognitive decline. Electrically elicited seizures (EESs) were observed in all seizure-free patients and were more frequent in responders (p = 0.038). All patients who were seizure free at the 6-month visit maintained their status during long-term follow-up. CONCLUSIONS SEEG-RFTC is a safe procedure and leads to a good response in many cases of MRI-negative focal epilepsies. One-quarter of the patients were seizure free and almost one-half were responders at the last follow-up. Although these results are still far from those achieved through conventional resection, a nonnegligible proportion of patients may benefit from this one-stage and much less invasive approach. Factors associated with seizure outcome remain to be elucidated; however, responders were significantly more frequent among patients with EESs, and achieving 6 months of seizure freedom appears to predict a good long-term response. In addition, the positive predictive value of RFTC response may be a valuable factor in the decision to proceed to subsequent surgery.
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Affiliation(s)
- Luísa Panadés-de Oliveira
- 1Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar.,2Epilepsy Research Group, Hospital del Mar Medical Research Institute (IMIM)
| | - Carmen Pérez-Enríquez
- 1Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar.,2Epilepsy Research Group, Hospital del Mar Medical Research Institute (IMIM)
| | - Ainara Barguilla
- 1Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar
| | - Klaus Langohr
- 3Department of Statistics and Operations Research, Universitat Politècnica de Catalunya BarcelonaTech.,4Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, IMIM
| | - Gerardo Conesa
- 2Epilepsy Research Group, Hospital del Mar Medical Research Institute (IMIM).,5Department of Neurosurgery, Hospital del Mar; and
| | | | - Alessandro Principe
- 1Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar.,2Epilepsy Research Group, Hospital del Mar Medical Research Institute (IMIM).,6Biomedical Engineering, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Rodrigo Rocamora
- 1Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar.,2Epilepsy Research Group, Hospital del Mar Medical Research Institute (IMIM).,6Biomedical Engineering, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
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26
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Evans K, Stamas N, Li Q, Vincent T, Halchenko Y, Zhang L, Danielson V, Murphy J, Barion F, Lam S, Lassagne R, Berger A. Impact of Vagus Nerve Stimulation for the Treatment of Drug-Resistant Epilepsy on Patterns of Use and Cost of Health Care Services and Pharmacotherapy: Comparisons of the 24-Month Periods Before and After Implantation. Clin Ther 2023; 45:136-150. [PMID: 36746736 DOI: 10.1016/j.clinthera.2023.01.007] [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: 11/16/2022] [Revised: 12/20/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
PURPOSE This study examines the impact of vagus nerve stimulation (VNS) as treatment for drug-resistant epilepsy (DRE) on the use and cost of health care services and pharmacotherapy. METHODS Using a large US health care claims database, we identified all patients with DRE who underwent VNS between January 1, 2012 and December 31, 2019. VNS implantation date was designated as the index date, and patients had to be continuously enrolled for the 24-month period before this date (preindex period). Outcomes included all-cause and epilepsy-related hospitalization, emergency department (ED) visits, and health care costs; health care claims resulting in an epilepsy diagnosis and all claims for antiseizure medications were deemed epilepsy related. Preindex data, except care related to preoperative medical clearance for VNS, were used to estimate multivariate regression models predicting outcomes during the 24-month postindex period (follow-up period). Predicted outcomes during follow-up were then compared with observed values. As a sensitivity analysis, we also replicated all analyses among subgroups defined by comorbid depression. FINDINGS A total of 659 patients underwent VNS for DRE and met the selection criteria. For the composite outcome of all-cause hospitalizations and ED visits, observed values were 42% lower than expected during the 24-month follow-up period; for the composite outcome of epilepsy-related hospitalizations and ED visits, observed values were 49% lower (P < 0.001 for both). Observed mean total all-cause costs, inclusive of costs of the procedure, were not significantly different than expected costs by month 19 of follow-up; mean total epilepsy-related costs were comparable by month 18. Findings were similar in subgroups with and without depression, although nominally greater differences (observed - expected) were seen in those with comorbid depression. IMPLICATIONS Our findings suggest that VNS is associated with decreased risk of hospitalization or ED visits (all cause and epilepsy related) during the 2-year period subsequent to implantation and may become cost-neutral within 2 years of implantation (vs continued medical management of DRE without VNS). Although expected outcomes were estimated based on the 24-month period before implantation, the degree to which they approximated what would have happened in the absence of VNS is unknowable. Further research is needed to better understand the extend and duration of the impact of VNS on seizure frequency and severity and health-related quality of life, including its performance among those with and without comorbid depression.
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Affiliation(s)
| | | | | | | | | | - Lu Zhang
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | | | | | - Sandi Lam
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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27
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Abrego AM, Khan W, Wright CE, Islam MR, Ghajar MH, Bai X, Tandon N, Seymour JP. Sensing local field potentials with a directional and scalable depth electrode array. J Neural Eng 2023; 20:016041. [PMID: 36630716 DOI: 10.1088/1741-2552/acb230] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/11/2023] [Indexed: 01/13/2023]
Abstract
Objective. A variety of electrophysiology tools are available to the neurosurgeon for diagnosis, functional therapy, and neural prosthetics. However, no tool can currently address these three critical needs: (a) access to all cortical regions in a minimally invasive manner; (b) recordings with microscale, mesoscale, and macroscale resolutions simultaneously; and (c) access to spatially distant multiple brain regions that constitute distributed cognitive networks.Approach.We modeled, designed, and demonstrated a novel device for recording local field potentials (LFPs) with the form factor of a stereo-electroencephalographic electrode and combined with radially distributed microelectrodes.Main results. Electro-quasistatic models demonstrate that the lead body amplifies and shields LFP sources based on direction, enablingdirectional sensitivity andscalability, referred to as thedirectional andscalable (DISC) array.In vivo,DISC demonstrated significantly improved signal-to-noise ratio, directional sensitivity, and decoding accuracy from rat barrel cortex recordings during whisker stimulation. Critical for future translation, DISC demonstrated a higher signal to noise ratio (SNR) than virtual ring electrodes and a noise floor approaching that of large ring electrodes in an unshielded environment after common average referencing. DISC also revealed independent, stereoscopic current source density measures whose direction was verified after histology.Significance. Directional sensitivity of LFPs may significantly improve brain-computer interfaces and many diagnostic procedures, including epilepsy foci detection and deep brain targeting.
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Affiliation(s)
- Amada M Abrego
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - Wasif Khan
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - Christopher E Wright
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
- Department of Bioengineering, Rice University, Houston, TX 77030, United States of America
| | - M Rabiul Islam
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - Mohammad H Ghajar
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - Xiaokang Bai
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - Nitin Tandon
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
| | - John P Seymour
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX 77030, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77030, United States of America
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Johnson EA, Lee JJ, Hacker CD, Park KY, Rustamov N, Daniel AGS, Shimony JS, Leuthardt EC. Preoperative functional connectivity by magnetic resonance imaging for refractory neocortical epilepsy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.10.23284374. [PMID: 36712003 PMCID: PMC9882436 DOI: 10.1101/2023.01.10.23284374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Objective Patients with refractory epilepsy experience extensive and invasive clinical testing for seizure onset zones treatable by surgical resection. However, surgical resection can fail to provide therapeutic benefit, and patients with neocortical epilepsy have the poorest therapeutic outcomes. This case series studied patients with neocortical epilepsy who were referred for surgical treatment. Prior to surgery, patients volunteered for resting-state functional magnetic resonance imaging (rs-fMRI) in addition to imaging for the clinical standard of care. This work examined the variability of functional connectivity in patients, estimated from rs-fMRI, for associations with surgical outcomes. Methods This work examined pre-operative structural imaging, pre-operative rs-fMRI, and post-operative structural imaging from seven epilepsy patients. Review of the clinical record provided Engel classifications for surgical outcomes. A novel method assessed pre-operative rs-fMRI from patients using comparative rs-fMRI from a large cohort of healthy control subjects and estimated Gibbs distributions for functional connectivity in patients compared to healthy controls. Results Three patients had Engel classification Ia, one patient had Engel classification IIa, and three patients had Engel classification IV. Metrics for variability of functional connectivity, including absolute differences of the functional connectivity of each patient from healthy control averages and probabilistic scores for absolute differences, were higher for patients classified as Engel IV, for whom epilepsy surgery provided no meaningful improvement. Significance This work continues on-going efforts to use rs-fMRI to characterize abnormal functional connectivity in the brain. Preliminary evidence indicates that the topography of variant functional connectivity in epilepsy patients may be clinically relevant for identifying patients unlikely to have favorable outcomes after epilepsy surgery. Widespread topographic variations of functional connectivity also support the hypothesis that epilepsy is a disease of brain resting-state networks.
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Alayli A, Lockard G, Gordon J, Connolly J, Monsour M, Schimmel S, Dela Peña I, Borlongan CV. Stem Cells: Recent Developments Redefining Epilepsy Therapy. Cell Transplant 2023; 32:9636897231158967. [PMID: 36919673 PMCID: PMC10021095 DOI: 10.1177/09636897231158967] [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: 12/27/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 03/16/2023] Open
Abstract
The field of stem cell therapy is growing rapidly and hopes to offer an alternative solution to diseases that are historically treated medically or surgically. One such focus of research is the treatment of medically refractory epilepsy, which is traditionally approached from a surgical or interventional standpoint. Research shows that stem cell transplantation has potential to offer significant benefits to the epilepsy patient by reducing seizure frequency, intensity, and neurological deficits that often result from the condition. This review explores the basic science progress made on the topic of stem cells and epilepsy by focusing on experiments using animal models and highlighting the most recent developments from the last 4 years.
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Affiliation(s)
- Adam Alayli
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Gavin Lockard
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Jonah Gordon
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Jacob Connolly
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Molly Monsour
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Samantha Schimmel
- University of South Florida Morsani
College of Medicine, Tampa, FL, USA
| | - Ike Dela Peña
- Department of Pharmaceutical and
Administrative Sciences, Loma Linda University, Loma Linda, CA, USA
| | - Cesar V. Borlongan
- Center of Excellence for Aging and
Brain Repair, Morsani College of Medicine, University of South Florida, Tampa, FL,
USA
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Amplitude synchronization of spontaneous activity of medial and lateral temporal gyri reveals altered thalamic connectivity in patients with temporal lobe epilepsy. Sci Rep 2022; 12:18389. [PMID: 36319701 PMCID: PMC9626490 DOI: 10.1038/s41598-022-23297-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 10/29/2022] [Indexed: 12/02/2022] Open
Abstract
In this study, we examined whether amplitude synchronization of medial (MTL) and lateral (LTL) temporal lobes can detect unique alterations in patients with MTL epilepsy (mTLE) with mesial temporal sclerosis (MTS). This was a retrospective study of preoperative resting-state fMRI (rsfMRI) data from 31 patients with mTLE with MTS (age 23-69) and 16 controls (age 21-35). fMRI data were preprocessed based on a multistep preprocessing pipeline and registered to a standard space. Using each subject's T1-weighted scan, the MTL and LTL were automatically segmented, manually revised and then fit to a standard space using a symmetric normalization registration algorithm. Dual regression analysis was applied on preprocessed rsfMRI data to detect amplitude synchronization of medial and lateral temporal segments with the rest of the brain. We calculated the overlapped volume ratio of synchronized voxels within specific target regions including the thalamus (total and bilateral). A general linear model was used with Bonferroni correction for covariates of epilepsy duration and age of patient at scan to statistically compare synchronization in patients with mTLE with MTS and controls, as well as with respect to whether patients remained seizure-free (SF) or not (NSF) after receiving epilepsy surgery. We found increased ipsilateral positive connectivity between the LTLs and the thalamus and contralateral negative connectivity between the MTLs and the thalamus in patients with mTLE with MTS compared to controls. We also found increased asymmetry of functional connectivity between temporal lobe subregions and the thalamus in patients with mTLE with MTS, with increased positive connectivity between the LTL and the lesional-side thalamus as well as increased negative connectivity between the MTL and the nonlesional-side thalamus. This asymmetry was also seen in NSF patients but was not seen in SF patients and controls. Amplitude synchronization was an effective method to detect functional connectivity alterations in patients with mTLE with MTS. Patients with mTLE with MTS overall showed increased temporal-thalamic connectivity. There was increased functional involvement of the thalamus in MTS, underscoring its role in seizure spread. Increased functional thalamic asymmetry patterns in NSF patients may have a potential role in prognosticating patient response to surgery. Elucidating regions with altered functional connectivity to temporal regions can improve understanding of the involvement of different regions in the disease to potentially target for intervention or use for prognosis for surgery. Future studies are needed to examine the effectiveness of using patient-specific abnormalities in patterns to predict surgical outcome.
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Cometa A, Falasconi A, Biasizzo M, Carpaneto J, Horn A, Mazzoni A, Micera S. Clinical neuroscience and neurotechnology: An amazing symbiosis. iScience 2022; 25:105124. [PMID: 36193050 PMCID: PMC9526189 DOI: 10.1016/j.isci.2022.105124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In the last decades, clinical neuroscience found a novel ally in neurotechnologies, devices able to record and stimulate electrical activity in the nervous system. These technologies improved the ability to diagnose and treat neural disorders. Neurotechnologies are concurrently enabling a deeper understanding of healthy and pathological dynamics of the nervous system through stimulation and recordings during brain implants. On the other hand, clinical neurosciences are not only driving neuroengineering toward the most relevant clinical issues, but are also shaping the neurotechnologies thanks to clinical advancements. For instance, understanding the etiology of a disease informs the location of a therapeutic stimulation, but also the way stimulation patterns should be designed to be more effective/naturalistic. Here, we describe cases of fruitful integration such as Deep Brain Stimulation and cortical interfaces to highlight how this symbiosis between clinical neuroscience and neurotechnology is closer to a novel integrated framework than to a simple interdisciplinary interaction.
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Affiliation(s)
- Andrea Cometa
- The Biorobotics Institute, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Antonio Falasconi
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
- Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Marco Biasizzo
- The Biorobotics Institute, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Jacopo Carpaneto
- The Biorobotics Institute, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Andreas Horn
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- MGH Neurosurgery & Center for Neurotechnology and Neurorecovery (CNTR) at MGH Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Neurology, 10117 Berlin, Germany
| | - Alberto Mazzoni
- The Biorobotics Institute, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Silvestro Micera
- The Biorobotics Institute, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
- Translational Neural Engineering Lab, School of Engineering, École Polytechnique Fèdèrale de Lausanne, 1015 Lausanne, Switzerland
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Remick M, Akwayena E, Harford E, Chilukuri A, White GE, Abel TJ. Subdural electrodes versus stereoelectroencephalography for pediatric epileptogenic zone localization: a retrospective cohort study. Neurosurg Focus 2022; 53:E4. [DOI: 10.3171/2022.7.focus2269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/19/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE
The objective of this study was to compare the relative safety and effectiveness of invasive monitoring with subdural electrodes (SDEs) and stereoelectroencephalography (sEEG) in pediatric patients with drug-resistant epilepsy.
METHODS
A retrospective cohort study was performed in 176 patients who underwent invasive monitoring evaluations at UPMC Children’s Hospital of Pittsburgh between January 2000 and September 2021. To examine differences between SDE and sEEG groups, independent-samples t-tests for continuous variables and Pearson chi-square tests for categorical variables were performed. A p value < 0.1 was considered statistically significant.
RESULTS
There were 134 patients (76%) in the SDE group and 42 (24%) in the sEEG group. There was a difference in the proportion with complications (17.9% in the SDE group vs 7.1% in the sEEG group, p = 0.09) and resection (75.4% SDE vs 21.4% sEEG, p < 0.01) between SDE and sEEG patients. However, there was no observable difference in the rates of postresection seizure freedom at 1-year clinical follow-up (60.2% SDE vs 75.0% sEEG, p = 0.55).
CONCLUSIONS
These findings reveal a difference in rates of surgical complications and resection between SDEs and sEEG. Larger prospective, multi-institutional pediatric comparative effectiveness studies may further explore these associations.
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Affiliation(s)
| | | | | | | | | | - Taylor J. Abel
- Departments of Neurological Surgery,
- Bioengineering, University of Pittsburgh, Pennsylvania
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Paulo DL, Ball TJ, Englot DJ. Emerging Technologies for Epilepsy Surgery. Neurol Clin 2022; 40:849-867. [DOI: 10.1016/j.ncl.2022.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Chan AY, Lien BV, Brown NJ, Gendreau J, Beyer RS, Yang CY, Choi EH, Hsu FP, Vadera S. Utility of adding electrodes in patients undergoing invasive seizure localization: A case series. Ann Med Surg (Lond) 2022; 80:104139. [PMID: 35846863 PMCID: PMC9284396 DOI: 10.1016/j.amsu.2022.104139] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/04/2022] [Accepted: 07/06/2022] [Indexed: 11/30/2022] Open
Abstract
Introduction Surgery can be an effective treatment for epilepsy if the seizure onset is adequately localized. Invasive monitoring is used if noninvasive methods are inconclusive. Initial invasive monitoring may fail if the pre-surgical hypothesis regarding location of epileptic foci is wrong. At this point, a decision must be made whether to remove all electrodes without a clearly defined location of onset or to implant additional electrodes with the aim of achieving localization by expanding coverage. Methods Electrodes were placed according to a hypothesis derived from noninvasive monitoring techniques in adult patients with long term epilepsy. Seizure onset was not clearly localized at the end of the invasive monitoring period in ten patients, and additional electrodes were placed based on a new hypothesis that incorporated data from the invasive monitoring period. Results Successful localization was achieved in nine patients. There were no complications with adding additional electrodes. At final follow up, four patients were seizure free while four others had at least a 50% reduction in seizures after undergoing surgical intervention. Conclusion Seizure foci were localized safely in 90% of adult patients with long term epilepsy after implanting additional electrodes and expanding coverage. Patients undergoing invasive monitoring without clear localization should have additional electrodes placed to expand monitoring coverage as it is safe and effective.
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Affiliation(s)
- Alvin Y. Chan
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
- Corresponding author. Department of Neurological Surgery, University of California, Irvine 200 S. Manchester Avenue, Suite 201, Orange, CA, 92868, United States.
| | - Brian V. Lien
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Nolan J. Brown
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Julian Gendreau
- Johns Hopkins Whiting School of Engineering, 3400 North Charles Street, Baltimore, MD, 21218, United States
| | - Ryan S. Beyer
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Chen Yi Yang
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Elliot H. Choi
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Frank P.K. Hsu
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
| | - Sumeet Vadera
- Department of Neurological Surgery, University of California, 200 South Manchester Avenue, Suite 201, Orange, CA, 92868, United States
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Jiang H, Kokkinos V, Ye S, Urban A, Bagić A, Richardson M, He B. Interictal SEEG Resting-State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2200887. [PMID: 35545899 PMCID: PMC9218648 DOI: 10.1002/advs.202200887] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Indexed: 05/23/2023]
Abstract
Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using short-time resting-state stereotacticelectroencephalography (SEEG) data. In a cohort of 27 drug-resistant epilepsy patients, the authors estimated the information flow via directional connectivity and inferred the excitation-inhibition ratio from the 1/f power slope. They hypothesized that the antagonism of information flow at multiple frequencies between SOZ and non-SOZ underlying the relatively stable epilepsy resting state could be related to the disrupted excitation-inhibition balance. They found flatter 1/f power slope in non-SOZ regions compared to the SOZ, with dominant information flow from non-SOZ to SOZ regions. Greater differences in resting-state information flow between SOZ and non-SOZ regions are associated with favorable seizure outcome. By integrating a balanced random forest model with resting-state connectivity, their method localized the SOZ with an accuracy of 88% and predicted the seizure outcome with an accuracy of 92% using clinically determined SOZ. Overall, this study suggests that brief resting-state SEEG data can significantly facilitate the identification of SOZ and may eventually predict seizure outcomes without requiring long-term ictal recordings.
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Affiliation(s)
- Haiteng Jiang
- Department of Biomedical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhou310013P. R. China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou310058P. R. China
| | - Vasileios Kokkinos
- University of Pittsburgh Comprehensive Epilepsy CenterDepartment of NeurologyUniversity of Pittsburgh School of MedicinePittsburghPA15232USA
- Massachusetts General HospitalBostonMA02114USA
| | - Shuai Ye
- Department of Biomedical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
| | - Alexandra Urban
- University of Pittsburgh Comprehensive Epilepsy CenterDepartment of NeurologyUniversity of Pittsburgh School of MedicinePittsburghPA15232USA
| | - Anto Bagić
- University of Pittsburgh Comprehensive Epilepsy CenterDepartment of NeurologyUniversity of Pittsburgh School of MedicinePittsburghPA15232USA
| | - Mark Richardson
- University of Pittsburgh Comprehensive Epilepsy CenterDepartment of NeurologyUniversity of Pittsburgh School of MedicinePittsburghPA15232USA
- Massachusetts General HospitalBostonMA02114USA
| | - Bin He
- Department of Biomedical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
- Neuroscience InstituteCarnegie Mellon UniversityPittsburghPA15213USA
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Morgan VL, Sainburg LE, Johnson GW, Janson A, Levine KK, Rogers BP, Chang C, Englot DJ. Presurgical temporal lobe epilepsy connectome fingerprint for seizure outcome prediction. Brain Commun 2022; 4:fcac128. [PMID: 35774185 PMCID: PMC9237708 DOI: 10.1093/braincomms/fcac128] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/02/2022] [Accepted: 05/12/2022] [Indexed: 01/19/2023] Open
Abstract
Temporal lobe epilepsy presents a unique situation where confident clinical localization of the seizure focus does not always result in a seizure-free or favourable outcome after mesial temporal surgery. In this work, magnetic resonance imaging derived functional and structural whole-brain connectivity was used to compute a network fingerprint that captures the connectivity profile characteristics that are common across a group of nine of these patients with seizure-free outcome. The connectivity profile was then computed for 38 left-out patients with the hypothesis that similarity to the fingerprint indicates seizure-free surgical outcome. Patient profile distance to the fingerprint was compared with 1-year seizure outcome and standard clinical parameters. Distance to the fingerprint was higher for patients with Engel III-IV 1-year outcome compared with those with Engel Ia, Ib-d, and II outcome (Kruskal-Wallis, P < 0.01; Wilcoxon rank-sum p corr <0.05 Bonferroni-corrected). Receiver operator characteristic analysis revealed 100% sensitivity and 90% specificity in identifying patients with Engel III-IV outcome based on distance to the fingerprint in the left-out patients. Furthermore, distance to the fingerprint was not related to any individual clinical parameter including age at scan, duration of disease, total seizure frequency, presence of mesial temporal sclerosis, lateralizing ictal, interictal scalp electroencephalography, invasive stereo-encephalography, or positron emission tomography. And two published algorithms utilizing multiple clinical measures for predicting seizure outcome were not related to distance to the fingerprint, nor predictive of seizure outcome in this cohort. The functional and structural connectome fingerprint provides quantitative, clinically interpretable and significant information not captured by standard clinical assessments alone or in combinations. This automated and simple method may improve patient-specific prediction of seizure outcome in patients with a clinically identified focus in the mesial temporal lobe.
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Affiliation(s)
- Victoria L Morgan
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Lucas E Sainburg
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
| | - Graham W Johnson
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Andrew Janson
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
| | - Kaela K Levine
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
| | - Baxter P Rogers
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
| | - Catie Chang
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
| | - Dario J Englot
- Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Avenue South, R0102 MCN, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
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Park SH, Jung IH, Chang KW, Oh MK, Chang JW, Kim SH, Kang HC, Kim HD, Chang WS. Epidural grid, a new methodology of invasive intracranial EEG monitoring: A technical note and experience of a single center. Epilepsy Res 2022; 182:106912. [PMID: 35339854 DOI: 10.1016/j.eplepsyres.2022.106912] [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: 09/28/2021] [Revised: 03/10/2022] [Accepted: 03/17/2022] [Indexed: 11/03/2022]
Abstract
INTRODUCTION Subdural grid monitoring (SDG) has the advantage to provide continuous coverage over a larger area of cortex, direct visualization of electrode location and functional mapping. However, SDG can cause direct irritation of the cortex or postoperative headaches due to cerebrospinal fluid (CSF) leakage. Epidural grid monitoring (EDG) without opening the dura is thought to reduce the possibility of these complications. We report our experience with EDG. METHODS We described our surgical technique of EDG in invasive intracranial electroencephalography (iEEG) monitoring. A retrospective review of 30 patients who underwent grid placement of iEEG between March 2019 and December 2020 was performed to compare SDG and EDG. RESULTS Of the 30 patients, 10 patients underwent SDG and 20 patients underwent EDG. There was no difference in age between SDG and EDG groups (p = 0.13). Also, there was no difference in the number of grid electrodes, craniotomy size, number of electrodes per craniotomy area and postoperative complication rate (p = 0.32, 0.84, 0.58 and 0.40). However, the maximum number of electrodes that have been undermined from the bone margin was much higher in SDG group (SDG 4.6 ± 2.2 vs. EDG 2.0 ± 0.9; p = 0.001). The demand for postoperative analgesics was significantly lower in EDG group (SDG 13.4 ± 9.1 vs. EDG 4.1 ± 4.3; p = 0.012); and the demand for postoperative antiemetics also tended to be low (SDG 4.6 ± 3.6 vs. EDG 1.8 ± 1.6; p = 0.078). CONCLUSIONS There was no significant difference in craniotomy and electrode insertion between the two groups; however, the EDG group showed less postoperative headache and nausea. Though not in direct contact with the cortex, the quality of the electrophysiological signal received through the electrode in EDG is comparable to that of the SDG. The EDG enables to detect the onset of seizure and delineate the epileptogenic zone sufficiently. Moreover, functional mapping is possible with EDG. Therefore, EDG has the sufficient potential to replace SDG for monitoring of the lateral surface of brain.
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Affiliation(s)
- So Hee Park
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - In-Ho Jung
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyung Won Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Maeng Keun Oh
- Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Woo Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Se Hee Kim
- Department of Pediatric, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hoon-Chul Kang
- Department of Pediatric, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Heung Dong Kim
- Department of Pediatric, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Won Seok Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Matsuo Y, Tanaka H, Morishita T, Enatsu R, Inoue T. Vagus nerve stimulation for bilateral temporal lobe epilepsy caused by fractionated radiation therapy: A case report. INTERDISCIPLINARY NEUROSURGERY 2022. [DOI: 10.1016/j.inat.2021.101429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Fujimoto A, Matsumaru Y, Masuda Y, Marushima A, Hosoo H, Araki K, Ishikawa E. Endovascular Electroencephalogram Records Simultaneous Subdural Electrode-Detectable, Scalp Electrode-Undetectable Interictal Epileptiform Discharges. Brain Sci 2022; 12:309. [PMID: 35326265 PMCID: PMC8946704 DOI: 10.3390/brainsci12030309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION We hypothesized that an endovascular electroencephalogram (eEEG) can detect subdural electrode (SDE)-detectable, scalp EEG-undetectable epileptiform discharges. The purpose of this study is, therefore, to measure SDE-detectable, scalp EEG-undetectable epileptiform discharges by an eEEG on a pig. METHODS A pig under general anesthesia was utilized to measure an artificially generated epileptic field by an eEEG that was able to be detected by an SDE, but not a scalp EEG as a primary outcome. We also compared the phase lag of each epileptiform discharge that was detected by the eEEG and SDE as a secondary outcome. RESULTS The eEEG electrode detected 113 (97%) epileptiform discharges (97% sensitivity). Epileptiform discharges that were localized within the three contacts (contacts two, three and four), but not spread to other parts, were detected by the eEEG with a 92% sensitivity. The latency between peaks of the eEEG and right SDE earliest epileptiform discharge ranged from 0 to 48 ms (mean, 13.3 ms; median, 11 ms; standard deviation, 9.0 ms). CONCLUSION In a pig, an eEEG could detect epileptiform discharges that an SDE could detect, but that a scalp EEG could not.
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Affiliation(s)
- Ayataka Fujimoto
- Comprehensive Epilepsy Center, Seirei Hamamatsu General Hospital, Shizuoka 988-056, Japan;
- School of Rehabilitation Sciences, Seirei Christopher University, Shizuoka 988-056, Japan
| | - Yuji Matsumaru
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
- E.P. Medical Inc., 403 Nihonbashi-Life-Science Building, 2-3-11, Honcho, Nihonbashi, Chuo-ku, Tokyo 103-0023, Japan
| | - Yosuke Masuda
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
| | - Aiki Marushima
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
| | - Hisayuki Hosoo
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
| | - Kota Araki
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
| | - Eiichi Ishikawa
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba 305-8575, Japan; (Y.M.); (A.M.); (H.H.); (K.A.); (E.I.)
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Freund B, Grewal SS, Middlebrooks EH, Moniz-Garcia D, Feyissa AM, Tatum WO. DUAL DEVICE NEUROMODULATION IN EPILEPSY. World Neurosurg 2022; 161:e596-e601. [DOI: 10.1016/j.wneu.2022.02.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 02/12/2022] [Accepted: 02/14/2022] [Indexed: 10/19/2022]
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Oluigbo CO, Gaillard WD, Koubeissi MZ. The End Justifies the Means-A Call for Nuance in the Increasing Nationwide Adoption of Stereoelectroencephalography Over Subdural Electrode Monitoring in the Surgical Evaluation of Intractable Epilepsy. JAMA Neurol 2022; 79:221-222. [PMID: 35040868 DOI: 10.1001/jamaneurol.2021.4994] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Chima O Oluigbo
- Department of Neurosurgery, Children's National Hospital, Washington, DC
| | | | - Mohamad Z Koubeissi
- Department of Neurology, The George Washington University Hospital, Washington, DC
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Vincent T, Li Q, Zhang L, Stokes M, Danielson V, Murphy J, Barion F, Lam S, Lassagne R, Berger A. Comparison of utilization and cost of healthcare services and pharmacotherapy following implantation of vagus nerve stimulation vs. responsive neurostimulation or deep brain stimulation for the treatment of drug-resistant epilepsy: analyses of a large United States healthcare claims database. J Med Econ 2022; 25:1218-1230. [PMID: 36384429 DOI: 10.1080/13696998.2022.2148680] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
AIM Vagus nerve stimulation (VNS), responsive neurostimulation (RNS), and deep brain stimulation (DBS) all are options for drug-resistant epilepsy (DRE). However, little is known about how the choice of neurostimulation impacts subsequent healthcare costs. MATERIALS AND METHODS We used a large US healthcare claims database to identify all patients with epilepsy who underwent neurostimulation between 2012 and 2019. Eligible patients were identified and stratified based on procedure received (VNS vs. RNS/DBS). VNS patients were matched by propensity scoring to RNS/DBS patients. Use and cost of healthcare resources and pharmacotherapy were ascertained over the 24-month period following neurostimulation, incorporating all-cause and epilepsy-related measures. Disease-related care was defined based on diagnoses of claims for medical care and relevant pharmacotherapies. RESULTS Seven hundred and ninety-two patients met all selection criteria. VNS patients were younger, were prescribed a higher pre-index mean number of anti-seizure medications (ASMs), and had higher pre-index levels of use and cost of epilepsy-related healthcare services. We propensity matched 148 VNS patients to an equal number of RNS/DBS patients. One year following index date (inclusive), mean total all-cause healthcare costs were 50% lower among VNS patients than RNS/DBS patients, and mean epilepsy-related costs were 55% lower; corresponding decreases at the two-year mark were 41% and 48%, respectively. LIMITATIONS Some clinical variables, such as seizure frequency and severity, quality of life, and functional status were unavailable in the database, precluding our ability to comprehensively assess differences between devices. Administrative claims data are subject to billing code errors, inaccuracies, and missing data, resulting in possible misclassification and/or unmeasured confounding. CONCLUSIONS After matching, VNS was associated with significantly lower all-cause and epilepsy-related costs for the two-year period following implantation. All-cause and epilepsy-related costs remained statistically significantly lower for VNS even after costs of implantation were excluded.
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Affiliation(s)
| | | | - Lu Zhang
- Division of Pediatric Neurosurgery, Department of Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | | | - Sandi Lam
- Division of Pediatric Neurosurgery, Department of Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Madaan P, Gupta A, Gulati S. Pediatric Epilepsy Surgery: Indications and Evaluation. Indian J Pediatr 2021; 88:1000-1006. [PMID: 33740232 DOI: 10.1007/s12098-021-03668-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 01/12/2021] [Indexed: 12/26/2022]
Abstract
Epilepsy is a common neurological condition in children. It is usually amenable to drug therapy. However, nearly one-third of patients may be refractory to antiseizure drugs. Poor compliance and nonepileptic events should be ruled out as possible causes of drug-resistant epilepsy (DRE). After failing adequate trials of two appropriate antiseizure drugs, patients with focal DRE or poorly classifiable epilepsy or epileptic encephalopathy with focal electro-clinical features should be worked up for surgical candidacy. A randomized controlled trial provided a class I evidence for epilepsy surgery in pediatric DRE. Pre-surgical screening workup typically includes a high-resolution epilepsy protocol brain magnetic resonance imaging (MRI) and a high-quality in-patient video electroencephalography evaluation. Advanced investigations such as positron emission tomography (PET), single-photon emission computed tomography (SPECT), and magnetoencephalography (MEG) may be required in selected cases especially when brain MRI is normal, and further evidence for anatomo-electro-clinical concordance is necessary to refine candidacy for surgery and surgical strategy. Some children may also need functional MRI to map eloquent regions of interest such as motor, sensory, and language functions to avoid unacceptable neurological deficits after surgery. Selected children may need invasive long-term electroencephalographic monitoring using stereotactically implanted intracranial depth electrodes or subdural grids. Surgical options include resective surgeries (lesionectomy, lobectomy, multilobar resections) and disconnective surgeries (corpus callosotomy, etc.) with the potential to obtain seizure freedom. Other surgical procedures, typically considered to be palliative are neuromodulation [deep brain stimulation (DBS), vagal nerve stimulation (VNS), and responsive neural stimulation (RNS)]. DBS and RNS are currently not approved in children. Pediatric DRE should be evaluated early considering the risk of epileptic encephalopathy and negative impact on cognition.
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Affiliation(s)
- Priyanka Madaan
- Pediatric Neurology Unit, Department of Pediatrics, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajay Gupta
- Pediatric Epilepsy, Epilepsy Center, Department of Neurology/Neurological Institute, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Sheffali Gulati
- Center of Excellence & Advanced Research on Childhood Neurodevelopmental Disorders, Child Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
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Nissen IA, Millán AP, Stam CJ, van Straaten ECW, Douw L, Pouwels PJW, Idema S, Baayen JC, Velis D, Van Mieghem P, Hillebrand A. Optimization of epilepsy surgery through virtual resections on individual structural brain networks. Sci Rep 2021; 11:19025. [PMID: 34561483 PMCID: PMC8463605 DOI: 10.1038/s41598-021-98046-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 08/13/2021] [Indexed: 11/10/2022] Open
Abstract
The success of epilepsy surgery in patients with refractory epilepsy depends upon correct identification of the epileptogenic zone (EZ) and an optimal choice of the resection area. In this study we developed individualized computational models based upon structural brain networks to explore the impact of different virtual resections on the propagation of seizures. The propagation of seizures was modelled as an epidemic process [susceptible-infected-recovered (SIR) model] on individual structural networks derived from presurgical diffusion tensor imaging in 19 patients. The candidate connections for the virtual resection were all connections from the clinically hypothesized EZ, from which the seizures were modelled to start, to other brain areas. As a computationally feasible surrogate for the SIR model, we also removed the connections that maximally reduced the eigenvector centrality (EC) (large values indicate network hubs) of the hypothesized EZ, with a large reduction meaning a large effect. The optimal combination of connections to be removed for a maximal effect were found using simulated annealing. For comparison, the same number of connections were removed randomly, or based on measures that quantify the importance of a node or connection within the network. We found that 90% of the effect (defined as reduction of EC of the hypothesized EZ) could already be obtained by removing substantially less than 90% of the connections. Thus, a smaller, optimized, virtual resection achieved almost the same effect as the actual surgery yet at a considerably smaller cost, sparing on average 27.49% (standard deviation: 4.65%) of the connections. Furthermore, the maximally effective connections linked the hypothesized EZ to hubs. Finally, the optimized resection was equally or more effective than removal based on structural network characteristics both regarding reducing the EC of the hypothesized EZ and seizure spreading. The approach of using reduced EC as a surrogate for simulating seizure propagation can suggest more restrictive resection strategies, whilst obtaining an almost optimal effect on reducing seizure propagation, by taking into account the unique topology of individual structural brain networks of patients.
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Affiliation(s)
- Ida A Nissen
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ana P Millán
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Cornelis J Stam
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Elisabeth C W van Straaten
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neuroscience, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sander Idema
- Department of Neurosurgery, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Johannes C Baayen
- Department of Neurosurgery, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Demetrios Velis
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Piet Van Mieghem
- Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Passamonti C, Mancini F, Cesaroni E, Bonifazi S, Ceravolo MG, Capecci M, Zamponi N, Scerrati M, Ricciuti RA. Deep brain stimulation in patients with long history of drug resistant epilepsy and poor functional status: Outcomes based on the different targets. Clin Neurol Neurosurg 2021; 208:106827. [PMID: 34329812 DOI: 10.1016/j.clineuro.2021.106827] [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: 04/27/2021] [Revised: 06/13/2021] [Accepted: 07/08/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) is a widely used surgical procedure for the treatment of patients with drug resistant epilepsy (DRE) and several anatomical target have been described. Indications for DBS includes patients with focal, partial seizure and those for which resective or disconnective surgery are contraindicated, such as involvement of eloquent cortex or significant comorbidities. Despite the SANTE trial has clearly indicated the efficacy of DBS of anterior nucleus of the thalamus (ANT), specific indications regarding the best anatomical target and outcome in patients with severe disability are lacking. Here we described our case series of patients underwent DBS of three different target including ANT, centromedian thalamic nucleus (CMN) and subthalamic nucleus (STN). METHOD Six patients with DRE have been treated with DBS of ANT (n = 3), STN (n = 2) and CMN (n = 1). Outcome has been expressed as seizures frequency reduction and patients functional status after surgery with a follow-up of 5-11 years. RESULTS Four out of six patients show no reduction of seizures frequency after DBS implant with one case of increasing atypical absence. Two cases, one ANT and one CMN, show a significant reduction of seizures frequency of 50-60%. No patients improve relative to functional outcome and one showed psychiatric symptoms worsening. CONCLUSIONS For patients with DRE and severe functional disability, DBS may reduce seizure frequency in some cases, but it does not improve functional outcome.
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Affiliation(s)
- C Passamonti
- Unit of Hospital Psychology, Ospedali Riuniti, Ancona, Italy
| | - F Mancini
- Clinic of Neurosurgery, Ospedali Riuniti, Ancona, Italy.
| | - E Cesaroni
- Child and adolescent psychiatry, Ospedale Salesi, Ancona, Italy
| | - S Bonifazi
- Clinic of Neurosurgery, Ospedali Riuniti, Ancona, Italy
| | - M G Ceravolo
- Department of Experimental and Clinical Medicine, "Università Politecnica delle Marche", Ancona, Italy
| | - M Capecci
- Department of Experimental and Clinical Medicine, "Università Politecnica delle Marche", Ancona, Italy
| | - N Zamponi
- Child and adolescent psychiatry, Ospedale Salesi, Ancona, Italy
| | - M Scerrati
- Clinic of Neurosurgery, Ospedali Riuniti, Ancona, Italy
| | - R A Ricciuti
- Unit of Neurosurgery, Ospedale Belcolle, Viterbo, Italy
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Scoville JP, Joyce E, Hunsaker J, Reese J, Wilde H, Arain A, Bollo RL, Rolston JD. Stereotactic Electroencephalography Is Associated With Reduced Pain and Opioid Use When Compared with Subdural Grids: A Case Series. Oper Neurosurg (Hagerstown) 2021; 21:6-13. [PMID: 33733680 DOI: 10.1093/ons/opab040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/25/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Minimally invasive surgery (MIS) has been shown to decrease length of hospital stay and opioid use. OBJECTIVE To identify whether surgery for epilepsy mapping via MIS stereotactically placed electroencephalography (SEEG) electrodes decreased overall opioid use when compared with craniotomy for EEG grid placement (ECoG). METHODS Patients who underwent surgery for epilepsy mapping, either SEEG or ECoG, were identified through retrospective chart review from 2015 through 2018. The hospital stay was separated into specific time periods to distinguish opioid use immediately postoperatively, throughout the rest of the stay and at discharge. The total amount of opioids consumed during each period was calculated by transforming all types of opioids into their morphine equivalents (ME). Pain scores were also collected using a modification of the Clinically Aligned Pain Assessment (CAPA) scale. The 2 surgical groups were compared using appropriate statistical tests. RESULTS The study identified 43 patients who met the inclusion criteria: 36 underwent SEEG placement and 17 underwent craniotomy grid placement. There was a statistically significant difference in median opioid consumption per hospital stay between the ECoG and the SEEG placement groups, 307.8 vs 71.5 ME, respectively (P = .0011). There was also a significant difference in CAPA scales between the 2 groups (P = .0117). CONCLUSION Opioid use is significantly lower in patients who undergo MIS epilepsy mapping via SEEG compared with those who undergo the more invasive ECoG procedure. As part of efforts to decrease the overall opioid burden, these results should be considered by patients and surgeons when deciding on surgical methods.
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Affiliation(s)
- Jonathan P Scoville
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, USA
| | - Evan Joyce
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, USA
| | - Joshua Hunsaker
- School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Jared Reese
- School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Herschel Wilde
- School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Amir Arain
- Department of Neurology, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA
| | - Robert L Bollo
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, USA
| | - John D Rolston
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, USA.,Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, Utah, USA
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An Overview of Noninvasive Brain Stimulation: Basic Principles and Clinical Applications. Can J Neurol Sci 2021; 49:479-492. [PMID: 34238393 DOI: 10.1017/cjn.2021.158] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The brain has the innate ability to undergo neuronal plasticity, which refers to changes in its structure and functions in response to continued changes in the environment. Although these concepts are well established in animal slice preparation models, their application to a large number of human subjects could only be achieved using noninvasive brain stimulation (NIBS) techniques. In this review, we discuss the mechanisms of plasticity induction using NIBS techniques including transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), random noise stimulation (RNS), transcranial ultrasound stimulation (TUS), vagus nerve stimulation (VNS), and galvanic vestibular stimulation (GVS). We briefly introduce these techniques, explain the stimulation parameters and potential clinical implications. Although their mechanisms are different, all these NIBS techniques can be used to induce plasticity at the systems level, to examine the neurophysiology of brain circuits and have potential therapeutic use in psychiatric and neurological disorders. TMS is the most established technique for the treatment of brain disorders, and repetitive TMS is an approved treatment for medication-resistant depression. Although the data on the clinical utility of the other modes of stimulation are more limited, the electrical stimulation techniques (tDCS, tACS, RNS, VNS, GVS) have the advantage of lower cost, portability, applicability at home, and can readily be combined with training or rehabilitation. Further research is needed to expand the clinical utility of NIBS and test the combination of different modes of NIBS to optimize neuromodulation induced clinical benefits.
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Fiani B, Jarrah R, Doan T, Shields J, Houston R, Sarno E. Stereoelectroencephalography versus Subdural Electrode Implantation to Determine Whether Patients with Drug-resistant Epilepsy Are Candidates for Epilepsy Surgery. Neurol Med Chir (Tokyo) 2021; 61:347-355. [PMID: 33967179 PMCID: PMC8258005 DOI: 10.2176/nmc.ra.2020-0361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Epilepsy is a chronic condition that affects about 50 million individuals worldwide. While its challenges are profound, there are increasing instances where antiepileptic drugs (AEDs) fail to provide relief to epileptic manifestations. For these pharmacoresistant cases, epilepsy surgery often is an effective route for treatment. However, the complexity and challenges associated with presurgical evaluations have prevented more widespread utilization of epilepsy surgery in pharmacoresistant cases. While preliminary work-ups and non-invasive diagnostic imaging have allowed for limited identification of the epileptogenic zone (EZ), there is yet to be an established pre-determined algorithm for surgical evaluation of patients with epilepsy. However, two modalities are currently being used for localization of the EZ and in determining candidates for surgery: stereoelectroencephalography (SEEG) and subdural electrodes (SDEs). SDE has been used in the United States for decades; however, SEEG now provides a less invasive option for mapping brain regions. We seek to address which intracranial monitoring technique is superior. Through a review of the outcomes of various clinical studies, SEEG was found to have greater safety and efficiency benefits than SDE, such as lower morbidity rates, lower prevalence of neurological deficits, and shorter recovery times. Moreover, SEEG was also found to have further functional benefits by allowing for deeper targeting of cerebral tissue along with bilateral hemispheric monitoring. This has led to increased rates of seizure freedom and control among SEEG patients. Nevertheless, further studies on the limitations and advancements of SEEG and SDE are still required to provide a more comprehensive understanding regarding their application.
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Affiliation(s)
- Brian Fiani
- Department of Neurosurgery, Desert Regional Medical Center
| | | | | | | | | | - Erika Sarno
- Michigan State University College of Osteopathic Medicine
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49
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Tantawi M, Miao J, Matias C, Skidmore CT, Sperling MR, Sharan AD, Wu C. Gray Matter Sampling Differences Between Subdural Electrodes and Stereoelectroencephalography Electrodes. Front Neurol 2021; 12:669406. [PMID: 33986721 PMCID: PMC8110924 DOI: 10.3389/fneur.2021.669406] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/31/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Stereoelectroencephalography (SEEG) has seen a recent increase in popularity in North America; however, concerns regarding the spatial sampling capabilities of SEEG remain. We aimed to quantify and compare the spatial sampling of subdural electrode (SDE) and SEEG implants. Methods: Patients with drug-resistant epilepsy who underwent invasive monitoring were included in this retrospective case-control study. Ten SEEG cases were compared with ten matched SDE cases based on clinical presentation and pre-implantation hypothesis. To quantify gray matter sampling, MR and CT images were coregistered and a 2.5mm radius sphere was superimposed over the center of each electrode contact. The estimated recording volume of gray matter was defined as the cortical voxels within these spherical models. Paired t-tests were performed to compare volumes and locations of SDE and SEEG recording. A Ripley's K-function analysis was performed to quantify differences in spatial distributions. Results: The average recording volume of gray matter by each individual contact was similar between the two modalities. SEEG implants sampled an average of 20% more total gray matter, consisted of an average of 17% more electrode contacts, and had 77% more of their contacts covering gray matter within sulci. Insular coverage was only achieved with SEEG. SEEG implants generally consist of discrete areas of dense local coverage scattered across the brain; while SDE implants cover relatively contiguous areas with lower density recording. Significance: Average recording volumes per electrode contact are similar for SEEG and SDE, but SEEG may allow for greater overall volumes of recording as more electrodes can be routinely implanted. The primary difference lies in the location and distribution of gray matter than can be sampled. The selection between SEEG and SDE implantation depends on sampling needs of the invasive implant.
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Affiliation(s)
- Mohamed Tantawi
- Department of Radiology, Jefferson Integrated Magnetic Resonance Imaging Center, Thomas Jefferson University, Philadelphia, PA, United States.,Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Jingya Miao
- Department of Radiology, Jefferson Integrated Magnetic Resonance Imaging Center, Thomas Jefferson University, Philadelphia, PA, United States.,Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Caio Matias
- Department of Radiology, Jefferson Integrated Magnetic Resonance Imaging Center, Thomas Jefferson University, Philadelphia, PA, United States.,Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | | | - Michael R Sperling
- Department of Neurology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Ashwini D Sharan
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Chengyuan Wu
- Department of Radiology, Jefferson Integrated Magnetic Resonance Imaging Center, Thomas Jefferson University, Philadelphia, PA, United States.,Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
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50
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Samanta D, Ostendorf AP, Willis E, Singh R, Gedela S, Arya R, Scott Perry M. Underutilization of epilepsy surgery: Part I: A scoping review of barriers. Epilepsy Behav 2021; 117:107837. [PMID: 33610461 PMCID: PMC8035287 DOI: 10.1016/j.yebeh.2021.107837] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 01/15/2021] [Accepted: 01/30/2021] [Indexed: 12/13/2022]
Abstract
One-third of persons with epilepsy have seizures despite appropriate medical therapy. Drug resistant epilepsy (DRE) is associated with neurocognitive and psychological decline, poor quality of life, increased risk of premature death, and greater economic burden. Epilepsy surgery is an effective and safe treatment for a subset of people with DRE but remains one of the most underutilized evidence-based treatments in modern medicine. The reasons for this quality gap are insufficiently understood. In this comprehensive review, we compile known significant barriers to epilepsy surgery, originating from both patient/family-related factors and physician/health system components. Important patient-related factors include individual and epilepsy characteristics which bias towards continued preferential use of poorly effective medications, as well as patient perspectives and misconceptions of surgical risks and benefits. Health system and physician-related barriers include demonstrable knowledge gaps among physicians, inadequate access to comprehensive epilepsy centers, complex presurgical evaluations, insufficient research, and socioeconomic bias when choosing appropriate surgical candidates.
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Affiliation(s)
- Debopam Samanta
- Neurology Division, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Adam P Ostendorf
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA; Department of Neurology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Erin Willis
- Neurology Division, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Rani Singh
- Department of Pediatrics, Atrium Health/Levine Children's Hospital, USA
| | - Satyanarayana Gedela
- Department of Pediatrics, Emory University College of Medicine, Atlanta, GA, USA; Children's Healthcare of Atlanta, USA
| | - Ravindra Arya
- Division of Neurology, Comprehensive Epilepsy Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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