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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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Shigapova RR, Mukhamedshina YO. Electrophysiology Methods for Assessing of Neurodegenerative and Post-Traumatic Processes as Applied to Translational Research. Life (Basel) 2024; 14:737. [PMID: 38929721 PMCID: PMC11205106 DOI: 10.3390/life14060737] [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: 03/27/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
Electrophysiological studies have long established themselves as reliable methods for assessing the functional state of the brain and spinal cord, the degree of neurodegeneration, and evaluating the effectiveness of therapy. In addition, they can be used to diagnose, predict functional outcomes, and test the effectiveness of therapeutic and rehabilitation programs not only in clinical settings, but also at the preclinical level. Considering the urgent need to develop potential stimulators of neuroregeneration, it seems relevant to obtain objective data when modeling neurological diseases in animals. Thus, in the context of the application of electrophysiological methods, not only the comparison of the basic characteristics of bioelectrical activity of the brain and spinal cord in humans and animals, but also their changes against the background of neurodegenerative and post-traumatic processes are of particular importance. In light of the above, this review will contribute to a better understanding of the results of electrophysiological assessment in neurodegenerative and post-traumatic processes as well as the possibility of translating these methods from model animals to humans.
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Affiliation(s)
- Rezeda Ramilovna Shigapova
- Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan 420008, Russia;
| | - Yana Olegovna Mukhamedshina
- Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan 420008, Russia;
- Department of Histology, Cytology and Embryology, Kazan State Medical University, Kazan 420012, Russia
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Du C, Jin W, Wang L, Yan J, Li G, Wu Y, Zhao G, Cui D, Yin S. Stereoelectroencephalography-guided radiofrequency thermocoagulation of the epileptogenic zone: a potential treatment and prognostic indicator for subsequent excision surgery. Acta Neurochir (Wien) 2024; 166:210. [PMID: 38735896 DOI: 10.1007/s00701-024-06106-x] [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: 01/31/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE To evaluate the safety and efficacy of stereoelectroencephalography (SEEG)-guided radiofrequency thermocoagulation (RFTC) for drug-resistant focal epilepsy and investigate the relationship between post-RFTC remission duration and delayed excision surgery effectiveness. METHODS We conducted a retrospective analysis of 43 patients with drug-resistant focal epilepsy who underwent RFTC via SEEG electrodes. After excluding three, the remaining 40 were classified into subgroups based on procedures and outcomes. Twenty-four patients (60%) underwent a secondary excision surgery. We determined the predictive value of RFTC outcome upon subsequent surgical outcome by categorizing the delayed secondary surgery outcome as success (Engel I/II) versus failure (Engel III/IV). Demographic information, epilepsy characteristics, and the duration of seizure freedom after RFTC were assessed. RESULTS Among 40 patients, 20% achieved Engel class I with RFTC alone, while 24 underwent delayed secondary excision surgery. Overall, 41.7% attained Engel class I, with a 66.7% success rate combining RFTC with delayed surgery. Seizure freedom duration was significantly longer in the success group (mean 4.9 months, SD = 2.7) versus the failure group (mean 1.9 months, SD = 1.1; P = 0.007). A higher proportion of RFTC-only and delayed surgical success group patients had preoperative lesional findings (p = 0.01), correlating with a longer time to seizure recurrence (p < 0.05). Transient postoperative complications occurred in 10%, resolving within a year. CONCLUSION This study demonstrates that SEEG-guided RFTC is a safe and potential treatment option for patients with drug-resistant focal epilepsy. A prolonged duration of seizure freedom following RFTC may serve as a predictive marker for the success of subsequent excision surgery.
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Affiliation(s)
- Chuan Du
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300350, China
| | - Weipeng Jin
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Le Wang
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Jingtao Yan
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300350, China
| | - Guangfeng Li
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300350, China
| | - Yuzhang Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300350, China
| | - Guangrui Zhao
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300350, China
| | - Deqiu Cui
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Shaoya Yin
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China.
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Du C, Wang L, Yan J, Li G, Wu Y, Zhao G, Cui D, Jin W, Yin S. The Association Between Trajectory-Skull Angle and Accuracy of Stereoelectroencephalography Electrode Implantation in Drug-Resistant Epilepsy. World Neurosurg 2024; 184:e408-e416. [PMID: 38309654 DOI: 10.1016/j.wneu.2024.01.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/24/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE To analyze the relationship between trajectory-skull angle and stereoelectroencephalography electrode implantation accuracy in drug-resistant epilepsy patients, aiming to guide clinical electrode placement and enhance surgical precision and safety. METHODS We conducted a retrospective analysis of medical records and surgical characteristics of 32 consecutive patients diagnosed with drug-resistant epilepsy, who underwent stereoelectroencephalography procedures at our center from June 2020 to June 2023. To evaluate the accuracy of electrode implantation, we utilized preoperative and postoperative computed tomography scans fused with SinoPlan software-planned trajectories. Entry radial error and target vector error were assessed as measurements of electrode implantation accuracy. RESULTS After adjusting for confounders, we found a significant positive correlation between trajectory-skull angle and entry radial error (β = 0.02, 95% CI: 0.01-0.03, P < 0.001). Likewise, a significant positive correlation existed between trajectory-skull angle and target vector error in all three models (β = 0.03, 95% CI: 0.01-0.04, P < 0.001). Additionally, a U-shaped relationship between trajectory-skull angle and target vector error was identified using smooth curve fitting. This U-shaped pattern persisted in both frame-based and robot-guided stereotactic techniques. According to the two-piecewise linear regression model, the inflection points were 9° in the frame-based group and 16° in the robot-guided group. CONCLUSIONS This study establishes a significant positive linear correlation between trajectory-skull angle and entry radial error, along with a distinctive U-shaped pattern in the relationship between trajectory-skull angle and target vector error. Our findings suggest that trajectory-skull angles of 9° (frame-based) and 16° (robot-guided) may optimize the accuracy of target vector error.
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Affiliation(s)
- Chuan Du
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; Department of Neurosurgery, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Le Wang
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, China
| | - Jingtao Yan
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Guangfeng Li
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yuzhang Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Guangrui Zhao
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Deqiu Cui
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, China
| | - Weipeng Jin
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, China
| | - Shaoya Yin
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, China.
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Uda T. Neuroimaging of Brain Tumor Surgery and Epilepsy. Brain Sci 2023; 13:1701. [PMID: 38137149 PMCID: PMC10742002 DOI: 10.3390/brainsci13121701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
To make the best clinical judgements, surgeons need to integrate information acquired via multimodal imaging [...].
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Affiliation(s)
- Takehiro Uda
- Department of Neurosurgery, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka City 545-8585, Osaka, Japan
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Bottan JS, Alshahrani A, Gilmore G, Steven DA, Burneo JG, Lau JC, McLachlan RS, Parrent AG, MacDougall KW, Diosy DC, Mirsattari SM, Suller Marti A. Lack of spontaneous typical seizures during intracranial monitoring with stereo-electroencephalography. Epileptic Disord 2023; 25:833-844. [PMID: 37792454 DOI: 10.1002/epd2.20165] [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: 11/27/2022] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVE In the presurgical evaluation of patients with drug-resistant epilepsy (DRE), occasionally, patients do not experience spontaneous typical seizures (STS) during a stereo-electroencephalography (SEEG) study, which limits its effectiveness. We sought to identify risk factors for patients who did not have STS during SEEG and to analyze the clinical outcomes for this particular set of patients. METHODS We conducted a retrospective analysis of all patients with DRE who underwent depth electrode implantation and SEEG recordings between January 2013 and December 2018. RESULTS SEEG was performed in 155 cases during this period. 11 (7.2%) did not experience any clinical seizures (non-STS group), while 143 experienced at least one patient-typical seizure during admission (STS group). No significant differences were found between STS and non-STS groups in terms of patient demographics, lesional/non-lesional epilepsy ratio, pre-SEEG seizure frequency, number of ASMs used, electrographic seizures or postoperative seizure outcome in those who underwent resective surgery. Statistically significant differences were found in the average number of electrodes implanted (7.0 in the non-STS group vs. 10.2 in STS), days in Epilepsy Monitoring Unit (21.8 vs. 12.8 days) and the number of cases that underwent resective surgery following SEEG (27.3% vs. 60.8%), respectively. The three non-STS patients (30%) who underwent surgery, all had their typical seizures triggered during ECS studies. Three cases were found to have psychogenic non-epileptic seizures. None of the patients in the non-STS group were offered neurostimulation devices. Five of the non-STS patients experienced transient seizure improvement following SEEG. SIGNIFICANCE We were unable to identify any factors that predicted lack of seizures during SEEG recordings. Resective surgery was only offered in cases where ECS studies replicated patient-typical seizures. Larger datasets are required to be able to identify factors that predict which patients will fail to develop seizures during SEEG.
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Affiliation(s)
- Juan S Bottan
- Section of Neurosurgery, Hospital General de Niños "Pedro De Elizalde", Ciudad Autónoma de Buenos Aires, Argentina
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ashwaq Alshahrani
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Greydon Gilmore
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - David A Steven
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Epidemiology & Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Jorge G Burneo
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Epidemiology & Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Neuroepidemiology Unit, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Jonathan C Lau
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Richard S McLachlan
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Andrew G Parrent
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Keith W MacDougall
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - David C Diosy
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Seyed M Mirsattari
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ana Suller Marti
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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Agashe S, Brinkmann BH, Cox BC, Wong-Kisiel L, Van Gompel JJ, Marsh RW, Miller KJ, Krecke KN, Britton JW. Implications of intracranial hemorrhage associated with stereo-EEG. Clin Neurophysiol 2023; 155:86-93. [PMID: 37806180 DOI: 10.1016/j.clinph.2023.08.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/27/2023] [Accepted: 08/18/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVE Intracranial hemorrhage (ICH) is a known complication during stereo-electroencephalography (sEEG) however true rates remain unknown. We provide a comprehensive review of ICH during sEEG regardless of clinical symptoms. Secondly, we analyzed sEEG recordings to identify electrographic correlates of ICH. METHODS This is a retrospective study of patients undergoing sEEG between January 2016 and April 2022 at the Mayo Clinic in Rochester. We reviewed medical records and imaging studies to identify ICH. We analyzed ICH by type, electrode trajectories, timing, sEEG findings and outcomes. RESULTS There were a total of 201 sEEG implants, of which 23 (11%) cases or 0.9% electrodes implanted had evidence of ICH. The majority of affected patients (82%) were either asymptomatic or had mild clinical neurological manifestations. In 90% of patients who proceeded with surgical treatments, outcomes were favorable. The most common sEEG finding in contacts in proximity of ICH was either focal slowing with interictal discharges or focal electrographic seizures. CONCLUSIONS ICH associated with sEEG is likely under-reported in literature. We present electroencephalographic correlates of ICH that may aid identification of ICH in the course of performing sEEG monitoring. SIGNIFICANCE Our data provides clinically relevant information on potential risks and outcomes of ICH. Furthermore, our findings aid identification of ICH during sEEG.
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Affiliation(s)
- Shruti Agashe
- Department of Neurology, Mayo Clinic, Rochester, MN, USA.
| | | | - Benjamin C Cox
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Kai J Miller
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Karl N Krecke
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Janca R, Tomasek M, Kalina A, Marusic P, Krsek P, Lesko R. Automated Identification of Stereoelectroencephalography Contacts and Measurement of Factors Influencing Accuracy of Frame Stereotaxy. IEEE J Biomed Health Inform 2023; 27:3326-3336. [PMID: 37389996 DOI: 10.1109/jbhi.2023.3271857] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2023]
Abstract
OBJECTIVE Stereoelectroencephalography (SEEG) is an established invasive diagnostic technique for use in patients with drug-resistant focal epilepsy evaluated before resective epilepsy surgery. The factors that influence the accuracy of electrode implantation are not fully understood. Adequate accuracy prevents the risk of major surgery complications. Precise knowledge of the anatomical positions of individual electrode contacts is crucial for the interpretation of SEEG recordings and subsequent surgery. METHODS We developed an image processing pipeline to localize implanted electrodes and detect individual contact positions using computed tomography (CT), as a substitute for time-consuming manual labeling. The algorithm automates measurement of parameters of the electrodes implanted in the skull (bone thickness, implantation angle and depth) for use in modeling of predictive factors that influence implantation accuracy. RESULTS Fifty-four patients evaluated by SEEG were analyzed. A total of 662 SEEG electrodes with 8,745 contacts were stereotactically inserted. The automated detector localized all contacts with better accuracy than manual labeling (p < 0.001). The retrospective implantation accuracy of the target point was 2.4 ± 1.1 mm. A multifactorial analysis determined that almost 58% of the total error was attributable to measurable factors. The remaining 42% was attributable to random error. CONCLUSION SEEG contacts can be reliably marked by our proposed method. The trajectory of electrodes can be parametrically analyzed to predict and validate implantation accuracy using a multifactorial model. SIGNIFICANCE This novel, automated image processing technique is a potentially clinically important, assistive tool for increasing the yield, efficiency, and safety of SEEG.
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Yossofzai O, Biswas A, Moineddin R, Ibrahim GM, Rutka J, Donner E, Snead C, Mitsakakis N, Widjaja E. Number of epilepsy surgeries has decreased despite an increase in pre-surgical evaluations at a tertiary pediatric epilepsy center in Ontario. Seizure 2023; 108:1-9. [PMID: 37059033 DOI: 10.1016/j.seizure.2023.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/28/2023] [Accepted: 04/03/2023] [Indexed: 04/05/2023] Open
Abstract
OBJECTIVE A recent U.S. study reported that the number of epilepsy surgeries has remained stable or declined in recent years despite an increase in pre-surgical evaluation. This study aimed to evaluate trends in pre-surgical evaluation and epilepsy surgery from 2001 to 2019 and to determine whether these trends have changed in the later period (2014-2019) compared to earlier period (2001-2013). METHODS This study evaluated trends in pre-surgical evaluation and epilepsy surgery at a tertiary pediatric epilepsy center. Children with drug resistant epilepsy who were evaluated for surgery were included. Clinical data, reasons for not undergoing surgery, and surgical characteristics of surgery patients were collected. Overall trends and trends in later period compared to earlier period for pre-surgical evaluation and epilepsy surgery were assessed. RESULTS There were 1151 children who were evaluated for epilepsy surgery and 546 underwent surgery. There was an upward trend in pre-surgical evaluation in the earlier period (rate ratio [RR]=1.04 (95%CI:1.02-1.07), p<0.001) and the trajectory of presurgical evaluation in the later period was not significantly different to the earlier period (RR=1.00 [95%CI:0.95-1.06], p = 0.88). Among the reasons for not undergoing surgery, failure to localize the seizures occurred more frequently in later period than earlier period (22.6% vs. 17.1% respectively, p = 0.024). For number of surgeries, there was an upward trend between 2001 and 2013 (RR=1.08 [95%CI:1.05-1.11], p<0.001), and a decreasing trend in the later period compared to earlier period (RR=0.91 [95%CI:0.84-0.99], p = 0.029). CONCLUSION Despite an increasing trend in pre-surgical evaluation, there was a decreasing trend in the number of epilepsy surgery in the later period as there was a larger proportion of patients in whom the seizures could not be localized. Trends in presurgical evaluation and epilepsy surgery will continue to evolve with introduction of technologies such as stereo-EEG and minimally invasive laser therapy.
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Affiliation(s)
- Omar Yossofzai
- Institute of Medical Science, University of Toronto, Canada; Department of Diagnostic Imaging, The Hospital for Sick Children, Canada
| | - Asthik Biswas
- Department of Diagnostic Imaging, The Hospital for Sick Children, Canada
| | - Rahim Moineddin
- Department of Family and Community Medicine, University of Toronto, Canada
| | - George M Ibrahim
- Department of Neurosurgery, The Hospital for Sick Children, Canada
| | - James Rutka
- Department of Neurosurgery, The Hospital for Sick Children, Canada
| | | | - Carter Snead
- Division of Neurology, The Hospital for Sick Children, Canada
| | - Nicholas Mitsakakis
- Children's Hospital of Eastern Ontario Research Institute, Canada; Dalla Lana School of Public Health, University of Toronto, Canada
| | - Elysa Widjaja
- Department of Diagnostic Imaging, The Hospital for Sick Children, Canada; Division of Neurology, The Hospital for Sick Children, Canada; Department of Medical Imaging, Lurie Children's Hospital of Chicago, United States.
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Jirsa V, Wang H, Triebkorn P, Hashemi M, Jha J, Gonzalez-Martinez J, Guye M, Makhalova J, Bartolomei F. Personalised virtual brain models in epilepsy. Lancet Neurol 2023; 22:443-454. [PMID: 36972720 DOI: 10.1016/s1474-4422(23)00008-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 03/29/2023]
Abstract
Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a curative option. Before surgery can take place, the patient must have a presurgical evaluation to establish whether and how surgical treatment might stop their seizures without causing neurological deficits. Virtual brains are a new digital modelling technology that map the brain network of a person with epilepsy, using data derived from MRI. This technique produces a computer simulation of seizures and brain imaging signals, such as those that would be recorded with intracranial EEG. When combined with machine learning, virtual brains can be used to estimate the extent and organisation of the epileptogenic zone (ie, the brain regions related to seizure generation and the spatiotemporal dynamics during seizure onset). Virtual brains could, in the future, be used for clinical decision making, to improve precision in localisation of seizure activity, and for surgical planning, but at the moment these models have some limitations, such as low spatial resolution. As evidence accumulates in support of the predictive power of personalised virtual brain models, and as methods are tested in clinical trials, virtual brains might inform clinical practice in the near future.
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Affiliation(s)
- Viktor Jirsa
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France.
| | - Huifang Wang
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France
| | - Paul Triebkorn
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France
| | - Meysam Hashemi
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France
| | - Jayant Jha
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France
| | | | - Maxime Guye
- Centre National de la Recherche Scientifique, Center for Magnetic Resonance in Biology and Medicine, Aix Marseille Université, Marseille, France; Centre d'Exploration Métabolique par Résonance Magnétique, Assistance Publique - Hôpitaux de Marseille, La Timone University Hospital, Marseille, France
| | - Julia Makhalova
- Centre National de la Recherche Scientifique, Center for Magnetic Resonance in Biology and Medicine, Aix Marseille Université, Marseille, France; Centre d'Exploration Métabolique par Résonance Magnétique, Assistance Publique - Hôpitaux de Marseille, La Timone University Hospital, Marseille, France; Epileptology and Clinical Neurophysiology Department, Assistance Publique - Hôpitaux de Marseille, La Timone University Hospital, Marseille, France
| | - Fabrice Bartolomei
- Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France; Epileptology and Clinical Neurophysiology Department, Assistance Publique - Hôpitaux de Marseille, La Timone University Hospital, Marseille, France
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A comparison between robot-guided and stereotactic frame-based stereoelectroencephalography (SEEG) electrode implantation for drug-resistant epilepsy. J Robot Surg 2022; 17:1013-1020. [DOI: 10.1007/s11701-022-01504-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/21/2022] [Indexed: 12/03/2022]
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Meador KJ, Jobst BC. Epilepsy Centers in the US: The Times They Are A-Changing. Neurology 2021; 98:175-176. [PMID: 34880096 DOI: 10.1212/wnl.0000000000013132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Kimford J Meador
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, Ca, USA
| | - Barbara C Jobst
- Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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Ostendorf AP, Ahrens SM, Lado FA, Arnold ST, Bai S, Bensalem Owen MK, Chapman KE, Clarke DF, Eisner M, Fountain NB, Gray JM, Hopp JL, Riker E, Schuele SU, Small BV, Herman ST. United States Epilepsy Center Characteristics: A Data Analysis From the National Association of Epilepsy Centers. Neurology 2021; 98:e449-e458. [PMID: 34880093 PMCID: PMC8826463 DOI: 10.1212/wnl.0000000000013130] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 11/04/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Objectives Patients with drug-resistant epilepsy (DRE) may benefit from specialized testing and treatments to better control seizures and improve quality of life. Most evaluations and procedures for DRE in the United States are performed at epilepsy centers accredited by the National Association of Epilepsy Centers (NAEC). On an annual basis, the NAEC collects data from accredited epilepsy centers on hospital-based epilepsy monitoring unit (EMU) size and admissions, diagnostic testing, surgeries, and other services. This article highlights trends in epilepsy center services from 2012 through 2019. Methods We analyzed data reported in 2012, 2016, and 2019 from all level 3 and level 4 NAEC accredited epilepsy centers. Data were described using frequency for categorical variables and median for continuous variables and were analyzed by center level and center population category. EMU beds, EMU admissions, epileptologists, and aggregate procedure volumes were also described using rates per population per year. Results During the period studied, the number of NAEC accredited centers increased from 161 to 256, with the largest increases in adult- and pediatric-only centers. Growth in EMU admissions (41%), EMU beds (26%), and epileptologists (109%) per population occurred. Access to specialized testing and services broadly expanded. The largest growth in procedure volumes occurred in laser interstitial thermal therapy (LiTT) (61%), responsive neurostimulation (RNS) implantations (114%), and intracranial monitoring without resection (152%) over the study period. Corpus callosotomies and vagus nerve stimulator (VNS) implantations decreased (−12.8% and −2.4%, respectively), while growth in temporal lobectomies (5.9%), extratemporal resections (11.9%), and hemispherectomies/otomies (13.1%) lagged center growth (59%), leading to a decrease in median volumes of these procedures per center. Discussion During the study period, the availability of specialty epilepsy care in the United States improved as the NAEC implemented its accreditation program. Surgical case complexity increased while aggregate surgical volume remained stable or declined across most procedure types, with a corresponding decline in cases per center. This article describes recent data trends and current state of resources and practice across NAEC member centers and identifies several future directions for driving systematic improvements in epilepsy care.
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Affiliation(s)
- Adam P Ostendorf
- Department of Pediatrics, Nationwide Children's Hospital and Ohio State University, Columbus, OH
| | - Stephanie M Ahrens
- Department of Pediatrics, Nationwide Children's Hospital and Ohio State University, Columbus, OH
| | - Fred Alexander Lado
- Department of Neurology, Hofstra Northwell Comprehensive Epilepsy Center, Great Neck, NY
| | - Susan T Arnold
- Department of Pediatrics, Children's Medical Center, Dallas, TX
| | - Shasha Bai
- Pediatric Biostatistics Core, Emory University School of Medicine, Atlanta, GA
| | | | - Kevin E Chapman
- Department of Child Health, University of Arizona College of Medicine and Barrow's Neurological Institute at Phoenix Children's Hospital, Phoenix, AZ
| | - Dave F Clarke
- Division of Pediatric Neurology, Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX
| | - Mariah Eisner
- Biostatistics Resource at Nationwide Children's Hospital, Columbus, OH
| | - Nathan B Fountain
- Department of Neurology, Comprehensive Epilepsy Program, University of Virginia, Charlottesville, Virginia
| | - Johanna M Gray
- National Association of Epilepsy Centers, Washington, DC
| | | | - Ellen Riker
- National Association of Epilepsy Centers, Washington, DC
| | - Stephan U Schuele
- Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Susan T Herman
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ
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Delayed hemorrhage after pediatric stereo-electroencephalography: delayed occurrence or delayed diagnosis? Childs Nerv Syst 2021; 37:3817-3826. [PMID: 34319438 DOI: 10.1007/s00381-021-05297-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/17/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Stereo-electroencephalography (SEEG) is a well-known invasive diagnostic method for drug-resistant epilepsy (DRE). Its rate of complications is relatively low, being the intracranial hemorrhage (ICH) the most relevant. Most centers perform immediate imaging studies after SEEG to rule out complications. However, delayed intracranial hemorrhages (DIH) can occur despite normal imaging studies in the immediate postoperative period. METHODS We performed a retrospective review of DRE pediatric patients operated on SEEG between April 2016 and December 2020 in our institution. After implantation, an immediate postoperative CT was performed to check electrode placement and rule out acute complications. An additional MRI was performed 24 h after surgery. We collected all postoperative hemorrhages and considered them as major or minor according to Wellmer´s classification. RESULTS Overall, 25 DRE patients were operated on SEEG with 316 electrodes implanted. Three ICHs were diagnosed on postoperative imaging. Two of them were asymptomatic requiring no treatment, while the other needed surgical evacuation after clinical worsening. The total risk of hemorrhage per procedure was 12%, but just one third of them were clinically relevant. Two hemorrhages were not visible on immediate postoperative CT, being incidentally diagnosed in the 24 h MRI. We recorded them as DIH and are reported in detail. CONCLUSION Few reports of DIH after SEEG exist in the literature. It remains unclear whether these cases are late occurring hemorrhages or immediate postoperative hemorrhages undiagnosed on initial imaging. According to our findings, we recommend to perform additional late postoperative imaging to diagnose these cases and manage them accurately.
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Mavridis IN, Lo WB, Wimalachandra WSB, Philip S, Agrawal S, Scott C, Martin-Lamb D, Carr B, Bill P, Lawley A, Seri S, Walsh AR. Pediatric stereo-electroencephalography: effects of robot assistance and other variables on seizure outcome and complications. J Neurosurg Pediatr 2021; 28:404-415. [PMID: 34298516 DOI: 10.3171/2021.2.peds20810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/19/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The safety of stereo-electroencephalography (SEEG) has been investigated; however, most studies have not differentiated pediatric and adult populations, which have different anatomy and physiology. The purpose of this study was to assess SEEG safety in the pediatric setting, focusing on surgical complications and the identification of patient and surgical risk factors, if any. The authors also aimed to determine whether robot assistance in SEEG was associated with a change in practice, surgical parameters, and clinical outcomes. METHODS The authors retrospectively studied all SEEG cases performed in their department from December 2014 to March 2020. They analyzed both demographic and surgical variables and noted the types of surgery-related complications and their management. They also studied the clinical outcomes of a subset of the patients in relation to robot-assisted and non-robot-assisted SEEG. RESULTS Sixty-three children had undergone 64 SEEG procedures. Girls were on average 3 years younger than the boys (mean age 11.1 vs 14.1 years, p < 0.01). The overall complication rate was 6.3%, and the complication rate for patients with left-sided electrodes was higher than that for patients with right-sided electrodes (11.1% vs 3.3%), although the difference between the two groups was not statistically significant. The duration of recording was positively correlated to the number of implanted electrodes (r = 0.296, p < 0.05). Robot assistance was associated with a higher number of implanted electrodes (mean 12.6 vs 7.6 electrodes, p < 0.0001). Robot-assisted implantations were more accurate, with a mean error of 1.51 mm at the target compared to 2.98 mm in nonrobot implantations (p < 0.001). Clinical outcomes were assessed in the first 32 patients treated (16 in the nonrobot group and 16 in the robot group), 23 of whom proceeded to further resective surgery. The children who had undergone robot-assisted SEEG had better eventual seizure control following subsequent epilepsy surgery. Of the children who had undergone resective epilepsy surgery, 42% (5/12) in the nonrobot group and 82% (9/11) in the robot group obtained an Engel class IA outcome at 1 year (χ2 = 3.885, p = 0.049). Based on Kaplan-Meier survival analysis, the robot group had a higher seizure-free rate than the nonrobot group at 30 months postoperation (7/11 vs 2/12, p = 0.063). Two complications, whose causes were attributed to the implantation and head-bandaging steps, required surgical intervention. All complications were either transient or reversible. CONCLUSIONS This is the largest single-center, exclusively pediatric SEEG series that includes robot assistance so far. SEEG complications are uncommon and usually transient or treatable. Robot assistance enabled implantation of more electrodes and improved epilepsy surgery outcomes, as compared to those in the non-robot-assisted cases.
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Affiliation(s)
| | | | | | | | | | - Caroline Scott
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Darren Martin-Lamb
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Bryony Carr
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Peter Bill
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Andrew Lawley
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Stefano Seri
- 3Neurophysiology, Birmingham Children's Hospital, Birmingham, United Kingdom
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Scullen T, Teja N, Song SH, Couldwell M, Carr C, Mathkour M, Lee DJ, Tubbs RS, Dallapiazza RF. Use of stereoelectroencephalography beyond epilepsy: a systematic review. World Neurosurg 2021; 155:96-108. [PMID: 34217862 DOI: 10.1016/j.wneu.2021.06.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Tyler Scullen
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Nikhil Teja
- Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire, USA
| | - Seo Ho Song
- Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire, USA
| | - Mitchell Couldwell
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Chris Carr
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Mansour Mathkour
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Darrin J Lee
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - R Shane Tubbs
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA; Department of Structural & Cellular Biology, Tulane University, New Orleans, Louisiana, USA; Department of Anatomical Sciences, St. George's University, Grenada
| | - Robert F Dallapiazza
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA.
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Bottan JS, Rubino PA, Lau JC, MacDougall KW, Parrent AG, Burneo JG, Steven DA. Robot-Assisted Insular Depth Electrode Implantation Through Oblique Trajectories: 3-Dimensional Anatomical Nuances, Technique, Accuracy, and Safety. Oper Neurosurg (Hagerstown) 2021; 18:278-283. [PMID: 31245818 DOI: 10.1093/ons/opz154] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 03/15/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The insula is a deep cortical structure that has renewed interest in epilepsy investigation. Invasive EEG recordings of this region have been challenging. Robot-assisted stereotactic electroencephalography has improved feasibility and safety of such procedures. OBJECTIVE To describe technical nuances of three-dimensional (3D) oblique trajectories for insular robot-assisted depth electrode implantation. METHODS Fifty patients who underwent robot-assisted depth electrode implantation between June 2017 and December 2018 were retrospectively analyzed. Insular electrodes were implanted through oblique, orthogonal, or parasagittal trajectories. Type of trajectories, accuracy, number of contacts within insular cortex, imaging, and complication rates were analyzed. Cadaveric and computerized tomography/magnetic resonance imaging 3D reconstructions were used to visualize insular anatomy and the technical implications of oblique trajectories. RESULTS Forty-one patients (98 insular electrodes) were included. Thirty (73.2%) patients had unilateral insular coverage. Average insular electrodes per patient was 2.4. The mean number of contacts was 7.1 (SD ± 2.91) for all trajectories and 8.3 (SD ± 1.51) for oblique insular trajectories. The most frequently used was the oblique trajectory (85 electrodes). Mean entry point error was 1.5 mm (0.2-2.8) and target error was 2.4 mm (0.8-4.0), 2.0 mm (1.1-2.9) for anterior oblique and 2.8 mm (0.8-4.9) for posterior oblique trajectories. There were no complications related to insular electrodes. CONCLUSION Oblique trajectories are the preferred method for insular investigation at our institution, maximizing the number of contacts within insular cortex without traversing through sulci or major CSF fissures. Robot-assisted procedures are safe and efficient. 3D understanding of the insula's unique anatomical features can help the surgeon to improve targeting of this structure.
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Affiliation(s)
- Juan S Bottan
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada.,Division of Neurosurgery, Hospital General de Niños "Pedro De Elizalde," Ciudad Autónoma de Buenos Aires, Argentina
| | - Pablo A Rubino
- Hospital de Alta Complejidad en Red "El Cruce," Florencio Varela, Argentina
| | - Jonathan C Lau
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Keith W MacDougall
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Andrew G Parrent
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Jorge G Burneo
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - David A Steven
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Canada
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18
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Willems LM, Baier H, Bien CG, Bösebeck F, Dümpelmann M, Hamer HM, Kellinghaus C, Knake S, Schreiber M, Staack AM, Surges R, Tergau F, von Podewils F, Weber Y, Wehner T, Winter Y, Philipp Zöllner J, Strzelczyk A, Rosenow F. Satisfaction with and reliability of in-hospital video-EEG monitoring systems in epilepsy diagnosis - A German multicenter experience. Clin Neurophysiol 2021; 132:2317-2322. [PMID: 34154936 DOI: 10.1016/j.clinph.2021.04.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 03/25/2021] [Accepted: 04/15/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To analyze satisfaction with and reliability of video-electroencephalography-monitoring systems (VEMS) in epilepsy diagnostics. METHODS A survey was conducted between December 2020 and January 2021 among German epilepsy centers using well-established customer satisfaction (CS) and quality assurance metrics. RESULTS Among 16 participating centers, CS with VEMS was low, with only 13% of customers actively recommending their system. Only 50% of users were satisfied with the overall performance of their VEMS, and a low 18% were satisfied with the manufacturer's customer service. User interface, software stability, lack of regular updates, and missing customer-oriented improvements were reported as frequent problems jeopardizing diagnosis in approximately every 10th patient. The greatest potential for improvement was identified for software and hardware stability as well as customer service. CONCLUSION Satisfaction with VEMS and their customer service was low, and diagnostics were regularly affected by software or hardware errors. Even if this can be partly explained by the technical complexity of VEMS, there is an urgent need for improvements with regard to the reliability and durability of system components as well as signal synchrony and data management. SIGNIFICANCE This analysis highlights low consumer satisfaction of users with VEMS and uncovers frequent problems and potential for improvement.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University, Frankfurt am Main, Germany
| | - Hartmut Baier
- Center for Psychiatry, Department of Epileptology, Weissenau, Germany
| | - Christian G Bien
- Department of Epileptology (Krankenhaus Mara), Bielefeld University, Medical School, Bielefeld, Germany
| | - Frank Bösebeck
- Epilepsy Center and Department of Neurology, AGAPLESION Diakonie Hospital Rotenburg, Rotenburg (Wümme), Germany
| | - Matthias Dümpelmann
- Epilepsy Center, Department of Neurosurgery, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Hajo M Hamer
- Epilepsy Center, Department of Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Christoph Kellinghaus
- Epilepsy Center Münster-Osnabrück, Department of Neurology, Klinikum Osnabrück, Osnabrück, Germany
| | - Susanne Knake
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University, Frankfurt am Main, Germany; Department of Neurology and Epilepsy Center Hessen, Philipps-University Marburg, Marburg (Lahn), Germany
| | - Melanie Schreiber
- Department of Neurology, University Hospital Tübingen, Tübingen, Germany
| | | | - Rainer Surges
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Frithjof Tergau
- Department of Neurology and Clinical Neurophysiology, St. Bernward Hospital, Hildesheim, Germany
| | - Felix von Podewils
- Epilepsy Center and Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Yvonne Weber
- Department of Epileptology and Neurology, University of Aachen, Aachen, Germany; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Tim Wehner
- Ruhr-Epileptology and Department of Neurology, University Hospital, Knappschaftskrankenhaus Bochum, Bochum, Germany
| | - Yaroslav Winter
- Mainz Comprehensive Epilepsy and Sleep Medicine Center, Department of Neurology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany; Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Johann Philipp Zöllner
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University, Frankfurt am Main, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University, Frankfurt am Main, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University, Frankfurt am Main, Germany.
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19
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Triano MJ, Schupper AJ, Ghatan S, Panov F. Hemorrhage Rates After Implantation and Explantation of Stereotactic Electroencephalography: Reevaluating Patients' Risk. World Neurosurg 2021; 151:e100-e108. [PMID: 33819712 DOI: 10.1016/j.wneu.2021.03.139] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Stereoelectroencephalography (sEEG), despite its established usefulness, has not been thoroughly evaluated for its adverse events profile. In this study, hemorrhage rates were evaluated both per patient and per lead placed not only in the immediate postoperative period, but also over the course of admission and after explantation when available. METHODS This is a single-center retrospective study of pediatric and adult patients undergoing sEEG lead placement at a large urban hospital. All available postoperative imaging was reviewed for the presence of hemorrhage, including any imaging occurring throughout admission as well as within 1 month of lead explantation. Age and number of leads placed per procedure were compared using an unpaired t test assuming unequal variance. RESULTS A total of 1855 leads were placed in 147 cases. The mean age was 30.4 ±15.0 and the male/female ratio was 47:53. 9 leads (0.49%) in 9 cases (6.12%) were involved with postimplantation hemorrhage occurring on postoperative day 0.44 on average. Postexplantation imaging was available for 45 cases. Seven leads (1.40%) in 7 cases (15.56%) were involved with postexplantation hemorrhage occurring on average on postoperative day 1.42. There was a significant difference in mean age between patients with postexplantation hemorrhage versus control (45.0 vs. 32.2; P = 0.0277). No cases of hemorrhage required surgical intervention and no patients had permanent neurologic deficit. CONCLUSIONS Hemorrhage after sEEG lead implantation and explantation may be more common than previously reported. Consistent postexplantation imaging may be of clinical benefit in detecting hemorrhage that precludes patients from immediate discharge, particularly in older patients.
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Affiliation(s)
- Matthew J Triano
- Department of Neurosurgery, Georgetown University School of Medicine Washington, D.C., USA
| | - Alexander J Schupper
- Department of Neurosurgery, Mount Sinai Hospital System, New York, New York, USA
| | - Saadi Ghatan
- Department of Neurosurgery, Mount Sinai Hospital System, New York, New York, USA
| | - Fedor Panov
- Department of Neurosurgery, Mount Sinai Hospital System, New York, New York, USA.
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Relationship between Delta Rhythm, Seizure Occurrence and Allopregnanolone Hippocampal Levels in Epileptic Rats Exposed to the Rebound Effect. Pharmaceuticals (Basel) 2021; 14:ph14020127. [PMID: 33561937 PMCID: PMC7914513 DOI: 10.3390/ph14020127] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 01/29/2021] [Accepted: 02/03/2021] [Indexed: 11/24/2022] Open
Abstract
Abrupt withdrawal from antiepileptic drugs is followed by increased occurrence of epileptic seizures, a phenomenon known as the “rebound effect”. By stopping treatment with levetiracetam (LEV 300 mg/kg/day, n = 15; vs. saline, n = 15), we investigated the rebound effect in adult male Sprague-Dawley rats. LEV was continuously administered using osmotic minipumps, 7 weeks after the intraperitoneal administration of kainic acid (15 mg/kg). The effects of LEV were determined by comparing time intervals, treatments, and interactions between these main factors. Seizures were evaluated by video-electrocorticographic recordings and power band spectrum analysis. Furthermore, we assessed endogenous neurosteroid levels by liquid chromatography-electrospray-tandem mass spectrometry. LEV significantly reduced the percentage of rats experiencing seizures, reduced the seizure duration, and altered cerebral levels of neurosteroids. In the first week of LEV discontinuation, seizures increased abruptly up to 700% (p = 0.002, Tukey’s test). The power of delta band in the seizure postictal component was related to the seizure occurrence after LEV withdrawal (r2 = 0.73, p < 0.001). Notably, allopregnanolone hippocampal levels were positively related to the seizure occurrence (r2 = 0.51, p = 0.02) and to the power of delta band (r2 = 0.67, p = 0.004). These findings suggest a role for the seizure postictal component in the rebound effect, which involves an imbalance of hippocampal neurosteroid levels.
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21
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Zheng J, Liu YL, Zhang D, Cui XH, Sang LX, Xie T, Li WL. Robot-assisted versus stereotactic frame-based stereoelectroencephalography in medically refractory epilepsy. Neurophysiol Clin 2020; 51:111-119. [PMID: 33272822 DOI: 10.1016/j.neucli.2020.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 10/22/2022] Open
Abstract
AIM To explore the difference between robot assisted (RA) and stereotactic frame based (SF) stereoelectroencephalography (SEEG) in patients with medically refractory epilepsy. METHODS We undertook a retrospective review of 33 SEEG cases at our center, of which 14 were SF performed from March to October 2018 and 19 were RA performed from November 2018 to December 2019. Detailed review of medical histories and operative records as well as imaging and trajectory plans was carried out for each patient, and the results related to each technique compared. A multiple linear regression model was used to test for variables that significantly influenced placement error. RESULTS Compared to the SF group, the RA group had a higher mean number of electrodes per patient (10.7 ± 2.8 versus 6.4 ± 0.8, P < 0.0001) and a significantly shorter mean operative time (127.3 ± 40.7 versus 152.7 ± 13.6 min, P = 0.033). For the RA group, the intracranial implantation length was positively correlated with target point error (p = 0.000), depth error (p = 0.043), and two-dimensional (2D) radial error (p = 0.041). Conversely, skull thickness was negatively correlated with the TP error (p = 0.004), depth error (p = 0.037) and 2D radial error (p = 0.000). We also analyzed the mean entry point, target point, depth and 2D radial errors, the complication rates, and the results of epileptogenic zone (EZ) localization and Engel class. The results showed no difference in these aspects between the SF group and the RA group. CONCLUSION This study suggests that, compared to stereotactic frame based SEEG, robot assisted SEEG is significantly more efficient and comparable in safety and effectiveness.
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Affiliation(s)
- Jie Zheng
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China
| | - Ying-Li Liu
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang 050017, China; Hebei Province Key Laboratory of Environment and Human Health, 361 East Zhongshan Road, Shijiazhuang 050017, China
| | - Di Zhang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China
| | - Xue-Hua Cui
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China
| | - Lin-Xia Sang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China
| | - Tao Xie
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China
| | - Wen-Ling Li
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang 050000, China.
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22
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Joswig H, Lau JC, Abdallat M, Parrent AG, MacDougall KW, McLachlan RS, Burneo JG, Steven DA. Stereoelectroencephalography Versus Subdural Strip Electrode Implantations: Feasibility, Complications, and Outcomes in 500 Intracranial Monitoring Cases for Drug-Resistant Epilepsy. Neurosurgery 2020; 87:E23-E30. [DOI: 10.1093/neuros/nyaa112] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 02/16/2020] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Both stereoelectroencephalography (SEEG) and subdural strip electrodes (SSE) are used for intracranial electroencephalographic recordings in the invasive investigation of patients with drug-resistant epilepsy.
OBJECTIVE
To compare SEEG and SSE with respect to feasibility, complications, and outcome in this single-center study.
METHODS
Patient characteristics, periprocedural parameters, complications, and outcome were acquired from a pro- and retrospectively managed databank to compare SEEG and SSE cases.
RESULTS
A total of 500 intracranial electroencephalographic monitoring cases in 450 patients were analyzed (145 SEEG and 355 SSE). Both groups were of similar age, gender distribution, and duration of epilepsy. Implantation of each SEEG electrode took 13.9 ± 7.6 min (20 ± 12 min for each SSE; P < .01). Radiation exposure to the patient was 4.3 ± 7.7 s to a dose area product of 14.6 ± 27.9 rad*cm2 for SEEG and 9.4 ± 8.9 s with 21 ± 22.4 rad*cm2 for SSE (P < .01). There was no difference in the length of stay (12.2 ± 7.2 and 12 ± 6.3 d). The complication rate was low in both groups. No infections were seen in SEEG cases (2.3% after SSE). The rate of hemorrhage was 2.8% for SEEG and 1.4% for SSE. Surgical outcome was similar.
CONCLUSION
SEEG allows targeting deeply situated foci with a non-inferior safety profile to SSE and seizure outcome comparable to SSE.
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Affiliation(s)
- Holger Joswig
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
- HMU Health and Medical University Potsdam, Department of Neurosurgery, Ernst von Bergmann Hospital, Potsdam, Germany
| | - Jonathan C Lau
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Mahmoud Abdallat
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
- Department of Neurosurgery, University of Jordan, Amman, Jordan
| | - Andrew G Parrent
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Keith W MacDougall
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Richard S McLachlan
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Jorge G Burneo
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - David A Steven
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Canada
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23
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Kim LH, Feng AY, Ho AL, Parker JJ, Kumar KK, Chen KS, Grant GA, Henderson JM, Halpern CH. Robot-assisted versus manual navigated stereoelectroencephalography in adult medically-refractory epilepsy patients. Epilepsy Res 2019; 159:106253. [PMID: 31855826 DOI: 10.1016/j.eplepsyres.2019.106253] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 10/14/2019] [Accepted: 12/07/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVE Stereoelectroencephalography (SEEG) has experienced a recent growth in adoption for epileptogenic zone (EZ) localization. Advances in robotics have the potential to improve the efficiency and safety of this intracranial seizure monitoring method. We present our institutional experience employing robot-assisted SEEG and compare its operative efficiency, seizure reduction outcomes, and direct hospital costs with SEEG performed without robotic assistance using navigated stereotaxy. METHODS We retrospectively identified 50 consecutive adult SEEG cases at our institution in this IRB-approved study, of which 25 were navigated with image guidance (hereafter referred to as "navigated") (02/2014-10/2016) and 25 were robot-assisted (09/2016-12/2017). A thorough review of medical/surgical history and operative records with imaging and trajectory plans was done for each patient. Direct inpatient costs related to each technique were compared. RESULTS Most common seizure etiologies for patients undergoing navigated and robot-assisted SEEG included non-lesional and benign temporal lesions. Despite having a higher mean number of leads-per-patient (10.2 ± 3.5 versus 7.2 ± 2.6, P = 0.002), robot-assisted cases had a significantly shorter mean operative time than navigated cases (125.5±48.5 versus 173.4±84.3 min, P = 0.02). Comparison of robot-assisted cases over the study interval revealed no significant difference in mean operative time (136.4±51.4 min for the first ten cases versus 109.9±75.8 min for the last ten cases, P = 0.25) and estimated operative time-per-lead (13.4±6.0 min for the first ten cases versus 12.9±7.7 min for the last ten cases, P = 0.86). The mean depth, radial, target, and entry point errors for robot-assisted cases were 2.12±1.89, 1.66±1.58, 3.05±2.02 mm, and 1.39 ± 0.75 mm, respectively. The two techniques resulted in equivalent EZ localization rate (navigated 88 %, robot-assisted 96 %, P = 0.30). Common types of epilepsy surgery performed consisted of implantation of responsive neurostimulation (RNS) device (56 %), resection (19.1 %), and laser ablation (23.8 %) for navigated SEEG. For robot-assisted SEEG, either RNS implantation (68.2 %) or laser ablation (22.7 %) were performed or offered. A majority of navigated and robot-assisted patients who underwent epilepsy surgery achieved either Engel Class I (navigated 36.8 %, robot-assisted 31.6 %) or II (navigated 36.8 %, robot-assisted 15.8 %) outcome with no significant difference between the groups (P = 0.14). Direct hospital cost for robot-assisted SEEG was 10 % higher than non-robotic cases. CONCLUSION This single-institutional study suggests that robotic assistance can enhance efficiency of SEEG without compromising safety or precision when compared to image guidance only. Adoption of this technique with uniform safety and efficacy over a short period of time is feasible with favorable epilepsy outcomes.
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Affiliation(s)
- Lily H Kim
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Austin Y Feng
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Allen L Ho
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Jonathon J Parker
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Kevin K Kumar
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Kevin S Chen
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Gerald A Grant
- Department of Neurosurgery, Stanford University School of Medicine, United States; Division of Pediatric Neurosurgery, Lucile Packard Children's Hospital Stanford, United States
| | - Jaimie M Henderson
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Casey H Halpern
- Division of Pediatric Neurosurgery, Lucile Packard Children's Hospital Stanford, United States.
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24
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Rosenow F, Strzelczyk A. Individualized epilepsy management: Medicines, surgery, and beyond. Epilepsy Behav 2019; 91:1-3. [PMID: 30482732 DOI: 10.1016/j.yebeh.2018.09.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 09/27/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER) Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER) Goethe-University Frankfurt, Frankfurt am Main, Germany.
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