Changes in the non-motor symptom scale in Parkinson’s disease after deep brain stimulation

Basal Ganglia ◽  
2011 ◽  
Vol 1 (3) ◽  
pp. 131-133 ◽  
Author(s):  
Martin M. Reich ◽  
K. Ray Chaudhuri ◽  
Keyoumars Ashkan ◽  
Natasha Hulse ◽  
Angela Costello ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Motor Symptom ◽  
Symptom Scale ◽  
Deep Brain

scholarly journals Motor symptom asymmetry in Parkinson's disease predicts emotional outcome following subthalamic nucleus deep brain stimulation

2020 ◽  
Vol 144 ◽  
pp. 107494 ◽  
Author(s):  
Philippe Voruz ◽  
Florence Le Jeune ◽  
Claire Haegelen ◽  
Karim N'Diaye ◽  
Jean-François Houvenaghel ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Motor Symptom ◽  
Deep Brain

scholarly journals Effective subthalamic and pallidal deep brain stimulation – are we modulating the same network?

2021 ◽  
Author(s):  
Leon Sobesky ◽  
Lukas Goede ◽  
Vincent J.J. Odekerken ◽  
Qiang Wang ◽  
Ningfei Li ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Motor Symptom ◽  
Striking Similarity ◽  
Pallidal Stimulation ◽  
Target Sites ◽  
Multiple Trials ◽  
Deep Brain

AbstractThe subthalamic nucleus and internal pallidum are main target sites for deep brain stimulation in Parkinson’s disease. Multiple trials that investigated subthalamic versus pallidal stimulation were unable to settle on a definitive optimal target between the two. One reason could be that the effect is mediated via a common network. To test this hypothesis, we calculated connectivity profiles seeding from deep brain stimulation electrodes in 94 patients that underwent subthalamic treatment and 28 patients with pallidal treatment based on a normative connectome atlas calculated from 1,000 healthy subjects. In each cohort, we calculated connectivity profiles that were associated with optimal clinical improvements. The two maps showed striking similarity and were able to cross-predict outcomes in the respective other cohort (R = 0.38 at p < 0.001 & R = 0.35 at p = 0.027). Next, we calculated an agreement map which retained regions common of both target sites. Crucially, this map was able to explain an additional amount of variance in clinical improvements of either cohort when compared to the maps calculated on the two cohorts alone. Finally, we tested profiles and predictive utility of connectivity maps calculated from different motor symptom subscores with a specific focus on bradykinesia and rigidity. While our study is based on retrospective data and indirect connectivity metrics, it delivers empirical data to support the hypothesis of a largely overlapping network associated with effective deep brain stimulation in Parkinson’s disease irrespective of the specific target.

Influence of deep brain stimulation and levodopa on signs and symptoms in Parkinson's disease

2009 ◽  
Vol 36 (S 02) ◽  
Author(s):  
J Gierthmühlen ◽  
P Arning ◽  
G Wasner ◽  
A Binder ◽  
J Herzog ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Signs And Symptoms ◽  
Deep Brain
Sign in / Sign up

Export Citation Format

Share Document