Absence seizure control by a brain computer interface
Publication year
2017Author(s)
Number of pages
8 p.
Source
Scientific Reports, 7, (2017), article 2487ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC SMN
Journal title
Scientific Reports
Volume
vol. 7
Languages used
English (eng)
Subject
Action, intention, and motor control; Biological psychology; DI-BCB_DCC_Theme 2: Perception, Action and Control; DI-BCB_DCC_Theme 3: Plasticity and Memory; Biologische psychologieAbstract
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.
This item appears in the following Collection(s)
- Academic publications [246764]
- Electronic publications [134205]
- Faculty of Social Sciences [30508]
- Open Access publications [107730]
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