Model-Based Deep Brain Stimulation Programming for Parkinson's Disease: The GUIDE Pilot Study

Stereotact Funct Neurosurg. 2015;93(4):231-9. doi: 10.1159/000375172. Epub 2015 May 14.

Abstract

Background: Achieving optimal results following deep brain stimulation (DBS) typically involves several months of programming sessions. The Graphical User Interface for DBS Evaluation (GUIDE) study explored whether a visual programming system could help clinicians accurately predetermine ideal stimulation settings in DBS patients with Parkinson's disease.

Methods: A multicenter prospective, observational study was designed that utilized a blinded Unified Parkinson's Disease Rating Scale (UPDRS)-III examination to prospectively assess whether DBS settings derived using a neuroanatomically based computer model (Model) could provide comparable efficacy to those determined through traditional, monopolar review-based programming (Clinical). We retrospectively compared the neuroanatomical regions of stimulation, power consumption and time spent on programming using both methods.

Results: The average improvement in UPDRS-III scores was 10.4 ± 7.8 for the Model settings and 11.7 ± 8.7 for the Clinical settings. The difference between the mean UPDRS-III scores with the Model versus the Clinical settings was 0.26 and not statistically significant (p = 0.9866). Power consumption for the Model settings was 48.7 ± 22 μW versus 76.1 ± 46.5 μW for the Clinical settings. The mean time spent programming using the Model approach was 31 ± 16 s versus 41.4 ± 29.1 min using the Clinical approach.

Conclusion: The Model-based DBS settings provided similar benefit to the Clinical settings based on UPDRS-III scores and were often arrived at in less time and required less power than the Clinical settings.

Publication types

  • Clinical Trial
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Deep Brain Stimulation / methods*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Neurological*
  • Parkinson Disease / therapy*
  • Pilot Projects
  • Prospective Studies
  • Software
  • Subthalamic Nucleus / physiopathology*
  • Therapy, Computer-Assisted / methods*