Adaptive deep brain stimulation in advanced Parkinson disease. Issue 3 (12th July 2013)
- Record Type:
- Journal Article
- Title:
- Adaptive deep brain stimulation in advanced Parkinson disease. Issue 3 (12th July 2013)
- Main Title:
- Adaptive deep brain stimulation in advanced Parkinson disease
- Authors:
- Little, Simon
Pogosyan, Alex
Neal, Spencer
Zavala, Baltazar
Zrinzo, Ludvic
Hariz, Marwan
Foltynie, Thomas
Limousin, Patricia
Ashkan, Keyoumars
FitzGerald, James
Green, Alexander L.
Aziz, Tipu Z.
Brown, Peter - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ana23951-sec-0001" sec-type="section"> <title>Objective</title> <p>Brain–computer interfaces (BCIs) could potentially be used to interact with pathological brain signals to intervene and ameliorate their effects in disease states. Here, we provide proof‐of‐principle of this approach by using a BCI to interpret pathological brain activity in patients with advanced Parkinson disease (PD) and to use this feedback to control when therapeutic deep brain stimulation (DBS) is delivered. Our goal was to demonstrate that by personalizing and optimizing stimulation in real time, we could improve on both the efficacy and efficiency of conventional continuous DBS.</p> </sec> <sec id="ana23951-sec-0002" sec-type="section"> <title>Methods</title> <p>We tested BCI‐controlled adaptive DBS (aDBS) of the subthalamic nucleus in 8 PD patients. Feedback was provided by processing of the local field potentials recorded directly from the stimulation electrodes. The results were compared to no stimulation, conventional continuous stimulation (cDBS), and random intermittent stimulation. Both unblinded and blinded clinical assessments of motor effect were performed using the Unified Parkinson's Disease Rating Scale.</p> </sec> <sec id="ana23951-sec-0003" sec-type="section"> <title>Results</title> <p>Motor scores improved by 66% (unblinded) and 50% (blinded) during aDBS, which were 29% (<italic>p</italic> =<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ana23951-sec-0001" sec-type="section"> <title>Objective</title> <p>Brain–computer interfaces (BCIs) could potentially be used to interact with pathological brain signals to intervene and ameliorate their effects in disease states. Here, we provide proof‐of‐principle of this approach by using a BCI to interpret pathological brain activity in patients with advanced Parkinson disease (PD) and to use this feedback to control when therapeutic deep brain stimulation (DBS) is delivered. Our goal was to demonstrate that by personalizing and optimizing stimulation in real time, we could improve on both the efficacy and efficiency of conventional continuous DBS.</p> </sec> <sec id="ana23951-sec-0002" sec-type="section"> <title>Methods</title> <p>We tested BCI‐controlled adaptive DBS (aDBS) of the subthalamic nucleus in 8 PD patients. Feedback was provided by processing of the local field potentials recorded directly from the stimulation electrodes. The results were compared to no stimulation, conventional continuous stimulation (cDBS), and random intermittent stimulation. Both unblinded and blinded clinical assessments of motor effect were performed using the Unified Parkinson's Disease Rating Scale.</p> </sec> <sec id="ana23951-sec-0003" sec-type="section"> <title>Results</title> <p>Motor scores improved by 66% (unblinded) and 50% (blinded) during aDBS, which were 29% (<italic>p</italic> = 0.03) and 27% (<italic>p</italic> = 0.005) better than cDBS, respectively. These improvements were achieved with a 56% reduction in stimulation time compared to cDBS, and a corresponding reduction in energy requirements (<italic>p</italic> &lt; 0.001). aDBS was also more effective than no stimulation and random intermittent stimulation.</p> </sec> <sec id="ana23951-sec-0004" sec-type="section"> <title>Interpretation</title> <p>BCI‐controlled DBS is tractable and can be more efficient and efficacious than conventional continuous neuromodulation for PD. Ann Neurol 2013;74:449–457</p> </sec> </abstract> … (more)
- Is Part Of:
- Annals of neurology. Volume 74:Issue 3(2013:Sep.)
- Journal:
- Annals of neurology
- Issue:
- Volume 74:Issue 3(2013:Sep.)
- Issue Display:
- Volume 74, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 74
- Issue:
- 3
- Issue Sort Value:
- 2013-0074-0003-0000
- Page Start:
- 449
- Page End:
- 457
- Publication Date:
- 2013-07-12
- Subjects:
- Neurology -- Periodicals
Pediatric neurology -- Periodicals
Nervous system -- Surgery -- Periodicals
616.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1531-8249 ↗
http://www3.interscience.wiley.com/cgi-bin/jhome/109668537 ↗
http://www3.interscience.wiley.com/cgi-bin/jhome/76507645 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ana.23951 ↗
- Languages:
- English
- ISSNs:
- 0364-5134
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1043.140000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3449.xml