| Title |
Intraoperative MRI for deep brain stimulation lead placement in Parkinson’s disease: 1 year motor and neuropsychological outcomes
|
|---|---|
| Published in |
Journal of Neurology, April 2016
|
| DOI | 10.1007/s00415-016-8125-0 |
| Pubmed ID | |
| Authors |
Christos Sidiropoulos, Richard Rammo, Brad Merker, Abhimanyu Mahajan, Peter LeWitt, Patricia Kaminski, Melissa Womble, Adrianna Zec, Danette Taylor, Julia Wall, Jason M. Schwalb |
| Abstract |
Traditional deep brain stimulation requires intraoperative neurophysiological confirmation of electrode placement. Recently, purely image guided methods are being evaluated as to their clinical efficacy in comparison to surgery using microelectrode recordings. We used the ClearPoint(®) system to place electrodes in both the subthalamic nucleus and globus pallidus internus in patients with advanced Parkinson's disease. Off medication UPDRS scores were assessed before and 1 year after surgery as well as pre- and 1 year post-operative neuropsychological outcomes. Targeting precision was also assessed. Patients implanted in the subthalamic nucleus improved by 46.2 % in their UPDRS scores post-operatively (p = 0.03) whereas the globus pallidus group improved by 41 % (p = 0.06). There were no significant adverse neuropsychological outcomes in either group of patients. Mean radial error for the STN group was 1.2 ± 0.7 mm and for the GPi group 0.8 mm ± 0.3 mm. Image guided DBS using the ClearPoint(®)system has high targeting precision with robust clinical outcomes. Our data are in accord with recent studies using the same or similar technologies and provide a rationale for a large comparative study of image-guided versus microelectrode guided DBS. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 19% |
| Student > Ph. D. Student | 13 | 18% |
| Researcher | 9 | 13% |
| Student > Master | 6 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Other | 11 | 15% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 31% |
| Neuroscience | 10 | 14% |
| Engineering | 5 | 7% |
| Psychology | 4 | 6% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 23 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2018.
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#14,258,962
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Outputs from Journal of Neurology
#2,988
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Outputs of similar age from Journal of Neurology
#55
of 87 outputs
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