Literature DB >> 20824733

Levodopa and subthalamic deep brain stimulation responses are not congruent.

Adam Zaidel1, Hagai Bergman, Ya'acov Ritov, Zvi Israel.   

Abstract

There is a consensus that in Parkinson's disease, the extent of preoperative levodopa responsiveness predicts the efficacy of subthalamic nucleus deep brain stimulation (STN DBS). However, this may be the result of statistical methods and primary assumptions. We were able to reproduce previously published correlation results on our data (N = 49 patients). Yet, these same results were demonstrated even after random shuffling of our data. Notably, we did not observe a correlation between STN DBS efficacy and preoperative levodopa responsiveness when using their respective baselines and fractional scores of motor improvement. Furthermore, postoperative responses were not limited by preoperative scores, with tremor demonstrating the greatest discrepancy. We conclude that preoperative levodopa responsiveness does not predict or limit the outcome of STN DBS. These results imply different therapeutic mechanisms for levodopa and STN DBS and therefore question the validity of using substantial preoperative levodopa responsiveness as a selection criterion for STN DBS.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20824733     DOI: 10.1002/mds.23294

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  16 in total

Review 1.  Preservation of function in Parkinson's disease: what's learning got to do with it?

Authors:  Jeff A Beeler
Journal:  Brain Res       Date:  2011-09-29       Impact factor: 3.252

2.  Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease.

Authors:  Reuben R Shamir; Trygve Dolber; Angela M Noecker; Benjamin L Walter; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2015-06-15       Impact factor: 8.955

3.  Understanding Parkinson's disease and deep brain stimulation: Role of monkey models.

Authors:  Jerrold L Vitek; Luke A Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

4.  Connectivity Predicts deep brain stimulation outcome in Parkinson disease.

Authors:  Andreas Horn; Martin Reich; Johannes Vorwerk; Ningfei Li; Gregor Wenzel; Qianqian Fang; Tanja Schmitz-Hübsch; Robert Nickl; Andreas Kupsch; Jens Volkmann; Andrea A Kühn; Michael D Fox
Journal:  Ann Neurol       Date:  2017-07       Impact factor: 10.422

Review 5.  Preoperative Levodopa Response and Deep Brain Stimulation Effects on Motor Outcomes in Parkinson's Disease: A Systematic Review.

Authors:  Zhengyu Lin; Chencheng Zhang; Dianyou Li; Bomin Sun
Journal:  Mov Disord Clin Pract       Date:  2021-12-09

6.  Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning.

Authors:  Kevin J Krause; Fenna Phibbs; Thomas Davis; Daniel Fabbri
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

7.  Reaching to proprioceptively defined targets in Parkinson's disease: effects of deep brain stimulation therapy.

Authors:  D Lee; D Y Henriques; J Snider; D Song; H Poizner
Journal:  Neuroscience       Date:  2013-04-13       Impact factor: 3.590

8.  Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson's disease.

Authors:  Harith Akram; Stamatios N Sotiropoulos; Saad Jbabdi; Dejan Georgiev; Philipp Mahlknecht; Jonathan Hyam; Thomas Foltynie; Patricia Limousin; Enrico De Vita; Marjan Jahanshahi; Marwan Hariz; John Ashburner; Tim Behrens; Ludvic Zrinzo
Journal:  Neuroimage       Date:  2017-07-12       Impact factor: 6.556

9.  Deep brain stimulation induces rapidly reversible transcript changes in Parkinson's leucocytes.

Authors:  Lilach Soreq; Hagai Bergman; Yael Goll; David S Greenberg; Zvi Israel; Hermona Soreq
Journal:  J Cell Mol Med       Date:  2012-07       Impact factor: 5.310

10.  Dopaminergic therapy in Parkinson's disease decreases cortical beta band coherence in the resting state and increases cortical beta band power during executive control.

Authors:  Jobi S George; Jon Strunk; Rachel Mak-McCully; Melissa Houser; Howard Poizner; Adam R Aron
Journal:  Neuroimage Clin       Date:  2013-08-08       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.