Abstract
Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation (DBS) 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.
| Original language | English |
|---|---|
| Pages (from-to) | 77-86 |
| Number of pages | 10 |
| Journal | Experimental Neurology |
| Volume | 245 |
| DOIs | |
| Publication status | Published - Jul 2013 |
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Keywords
- Adaptive
- Closed-loop
- Deep brain stimulation
- Device
- Local field potentials
- Neuromodulation
- Parkinson's disease
ASJC Scopus subject areas
- Neurology
- Developmental Neuroscience
Cite this
Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations. / Priori, Alberto; Foffani, Guglielmo; Rossi, Lorenzo; Marceglia, Sara.
In: Experimental Neurology, Vol. 245, 07.2013, p. 77-86.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations
AU - Priori, Alberto
AU - Foffani, Guglielmo
AU - Rossi, Lorenzo
AU - Marceglia, Sara
PY - 2013/7
Y1 - 2013/7
N2 - Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation (DBS) 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.
AB - Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation (DBS) 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.
KW - Adaptive
KW - Closed-loop
KW - Deep brain stimulation
KW - Device
KW - Local field potentials
KW - Neuromodulation
KW - Parkinson's disease
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U2 - 10.1016/j.expneurol.2012.09.013
DO - 10.1016/j.expneurol.2012.09.013
M3 - Article
C2 - 23022916
AN - SCOPUS:84878462972
VL - 245
SP - 77
EP - 86
JO - Experimental Neurology
JF - Experimental Neurology
SN - 0014-4886
ER -