期刊
EXPERIMENTAL NEUROLOGY
卷 245, 期 -, 页码 77-86出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.expneurol.2012.09.013
关键词
Deep brain stimulation; Adaptive; Closed-loop; Local field potentials; Parkinson's disease; Device; Neuromodulation
资金
- ERANET-Neuron Grant PhysiolDBS [Neuron-48-013]
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (Milan, Italy)
- Universita degli Studi di Milano (Italy)
- Ministero della Sanita (Italy)
- Ministero dell'Universita e della Ricerca Scientifica e Tecnologica (Italy)
Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation COBS) systems could be further optimized to maximize treatment benefits. In particular, because current open-loop DBS strategies based on fixed stimulation settings leave the typical parkinsonian motor fluctuations and rapid symptom variations partly uncontrolled, research has for several years focused on developing novel closed-loop or adaptive DBS (aDBS) systems. aDBS consists of a simple closed-loop model designed to measure and analyze a control variable reflecting the patient's clinical condition to elaborate new stimulation settings and send them to an intelligent implanted stimulator. The major problem in developing an aDBS system is choosing the ideal control variable for feedback. Here we review current evidence on the advantages of neurosignal-controlled aDBS that uses local field potentials (LFPs) as a control variable, and describe the technology already available to create new aDBS systems, and the potential benefits of aDBS for patients with Parkinson's disease. (C) 2012 Published by Elsevier Inc.
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