Journal of neuroscience methods · 2018
A low-cost solution for quantification of movement during DBS surgery.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Schaeffer Erin L, Liu Daniel Y, Guerin Julie, Ahn Minkyu, Lee Shane, Asaad Wael F
Аннотация
BACKGROUND: During the deep brain stimulation (DBS) electrode implantation operation with microelectrode recordings (MER) in awake patients, somatotopic testing and test stimulation are performed to improve electrode placement and provide the most beneficial symptom reduction possible, while minimizing side effects. As this procedure is commonly used to alleviate abnormal movements associated with Parkinson's disease (PD) and Essential Tremor (ET), intraoperative assessment of a patient's movements is critical to optimizing surgical benefit. However, despite its importance, movement assessment is typically subjective and qualitative.
NEW METHOD: Here, we present a detailed description of a low-cost, open-source system as a solution.
RESULTS: The described system measures movements intraoperatively and in synchrony with neurophysiological recordings for both online visualization and offline analysis.
COMPARISON WITH EXISTING METHOD(S): Few movement quantification systems are designed to interface with intraoperative neurophysiological recordings; the widespread application of such systems may be limited by their cost and proprietary, closed-source nature. The system presented provides a low-cost, open-source alternative.
CONCLUSIONS: The system outlined in this work may improve the DBS procedure by adding valuable objectivity in movement quantification.
NEW METHOD: Here, we present a detailed description of a low-cost, open-source system as a solution.
RESULTS: The described system measures movements intraoperatively and in synchrony with neurophysiological recordings for both online visualization and offline analysis.
COMPARISON WITH EXISTING METHOD(S): Few movement quantification systems are designed to interface with intraoperative neurophysiological recordings; the widespread application of such systems may be limited by their cost and proprietary, closed-source nature. The system presented provides a low-cost, open-source alternative.
CONCLUSIONS: The system outlined in this work may improve the DBS procedure by adding valuable objectivity in movement quantification.