Absence Seizure Control by a Brain Computer Interface
Abstract The ultimate goal of epileptology is the complete abolishment of epileptic seizures. This might be achieved by a system that predicts seizure onset combined with a system that interferes with the process that leads to the onset of a seizure. Seizure prediction remains, as of yet, unresolved...
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Nature Portfolio
2017
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oai:doaj.org-article:220c0989370c45398b671ecc71bce1612021-12-02T16:06:09ZAbsence Seizure Control by a Brain Computer Interface10.1038/s41598-017-02626-y2045-2322https://doaj.org/article/220c0989370c45398b671ecc71bce1612017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02626-yhttps://doaj.org/toc/2045-2322Abstract The ultimate goal of epileptology is the complete abolishment of epileptic seizures. This might be achieved by a system that predicts seizure onset combined with a system that interferes with the process that leads to the onset of a seizure. Seizure prediction remains, as of yet, unresolved in absence-epilepsy, due to the sudden onset of seizures. We have developed a real-time absence seizure prediction algorithm, evaluated it and implemented it in an on-line, closed-loop brain stimulation system designed to prevent the spike-wave-discharges (SWDs), typical for absence epilepsy, in a genetic rat model. The algorithm corretly predicted 88% of the SWDs while the remaining were quickly detected. A high number of false-positive detections occurred mainly during light slow-wave-sleep. Inclusion of criteria to prevent false-positives greatly reduced the false alarm rate but decreased the sensitivity of the algoritm. Implementation of the latter version into a closed-loop brain-stimulation-system resulted in a 72% decrease in seizure activity. In contrast to long standing beliefs that SWDs are unpredictable, these results demonstrate that they can be predicted and that the development of closed-loop seizure prediction and prevention systems is a feasable step towards interventions to attain control and freedom from epileptic seizures.Vladimir A. MaksimenkoSabrina van HeukelumVladimir V. MakarovJanita KelderhuisAnnika LüttjohannAlexey A. KoronovskiiAlexander E. HramovGilles van LuijtelaarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017) |
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DOAJ |
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DOAJ |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Vladimir A. Maksimenko Sabrina van Heukelum Vladimir V. Makarov Janita Kelderhuis Annika Lüttjohann Alexey A. Koronovskii Alexander E. Hramov Gilles van Luijtelaar Absence Seizure Control by a Brain Computer Interface |
| description |
Abstract The ultimate goal of epileptology is the complete abolishment of epileptic seizures. This might be achieved by a system that predicts seizure onset combined with a system that interferes with the process that leads to the onset of a seizure. Seizure prediction remains, as of yet, unresolved in absence-epilepsy, due to the sudden onset of seizures. We have developed a real-time absence seizure prediction algorithm, evaluated it and implemented it in an on-line, closed-loop brain stimulation system designed to prevent the spike-wave-discharges (SWDs), typical for absence epilepsy, in a genetic rat model. The algorithm corretly predicted 88% of the SWDs while the remaining were quickly detected. A high number of false-positive detections occurred mainly during light slow-wave-sleep. Inclusion of criteria to prevent false-positives greatly reduced the false alarm rate but decreased the sensitivity of the algoritm. Implementation of the latter version into a closed-loop brain-stimulation-system resulted in a 72% decrease in seizure activity. In contrast to long standing beliefs that SWDs are unpredictable, these results demonstrate that they can be predicted and that the development of closed-loop seizure prediction and prevention systems is a feasable step towards interventions to attain control and freedom from epileptic seizures. |
| format |
article |
| author |
Vladimir A. Maksimenko Sabrina van Heukelum Vladimir V. Makarov Janita Kelderhuis Annika Lüttjohann Alexey A. Koronovskii Alexander E. Hramov Gilles van Luijtelaar |
| author_facet |
Vladimir A. Maksimenko Sabrina van Heukelum Vladimir V. Makarov Janita Kelderhuis Annika Lüttjohann Alexey A. Koronovskii Alexander E. Hramov Gilles van Luijtelaar |
| author_sort |
Vladimir A. Maksimenko |
| title |
Absence Seizure Control by a Brain Computer Interface |
| title_short |
Absence Seizure Control by a Brain Computer Interface |
| title_full |
Absence Seizure Control by a Brain Computer Interface |
| title_fullStr |
Absence Seizure Control by a Brain Computer Interface |
| title_full_unstemmed |
Absence Seizure Control by a Brain Computer Interface |
| title_sort |
absence seizure control by a brain computer interface |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/220c0989370c45398b671ecc71bce161 |
| work_keys_str_mv |
AT vladimiramaksimenko absenceseizurecontrolbyabraincomputerinterface AT sabrinavanheukelum absenceseizurecontrolbyabraincomputerinterface AT vladimirvmakarov absenceseizurecontrolbyabraincomputerinterface AT janitakelderhuis absenceseizurecontrolbyabraincomputerinterface AT annikaluttjohann absenceseizurecontrolbyabraincomputerinterface AT alexeyakoronovskii absenceseizurecontrolbyabraincomputerinterface AT alexanderehramov absenceseizurecontrolbyabraincomputerinterface AT gillesvanluijtelaar absenceseizurecontrolbyabraincomputerinterface |
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1718385075830128640 |