Adaptive Neurostimulation
Adaptive Neurostimulation is a closed-loop neuromodulation technique that dynamically adjusts stimulation parameters in real time based on ongoing neural activity or physiological biomarkers, distinguishing it from open-loop neurostimulation by its feedback-driven, responsive control mechanism.
51
Publications
2.5K
Citations
312
Authors
158
Institutions
Publications per year
2017–2026
38
Variants
Closed-loop Neuromodulation
51
The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson’s disease
Gerd Tinkhauser, Alek Pogosyan, Simon Little et al. · Brain · 2017 · 480 citations · Full text
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158
University of Oxford
Oxford, United Kingdom
9 h-index
32 publications
3.3K citations
University of California, San Francisco
San Francisco, United States
7 h-index
34 publications
2.1K citations
MRC Brain Network Dynamics Unit
Oxford, United Kingdom
7 h-index
17 publications
2.9K citations

University of Toronto
Toronto, Canada
6 h-index
16 publications
610 citations
Neurological Surgery
Rockville Centre, United States
6 h-index
25 publications
1.6K citations
Stanford University
Stanford, United States
5 h-index
11 publications
573 citations
University of Florida
Gainesville, United States
4 h-index
30 publications
1.9K citations
Duke University
Durham, United States
4 h-index
5 publications
124 citations
1–8 of 158
4 publications · 168 citations
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4 publications · 170 citations
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3 publications · 87 citations
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3 publications · 131 citations
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2 publications · 243 citations
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