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Updated: Jan 18, 2026
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018
Traditional Trial and Error versus Neuroanatomic 3-Dimensional Image Software-Assisted Deep Brain Stimulation
Nicola Pavese1, Yen F Tai2, Nada Yousif3
1Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom; Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark; Division of Brain Sciences, Imperial College London, London, United Kingdom.
Background:
Programming deep brain stimulation (DBS) settings in patients with Parkinson disease (PD) is challenging and time consuming because of the vast number of possible parameter combinations. This results in long sessions that can be exhausting for the patients and physicians. GUIDE (Boston Scientific) is a 3-dimensional neuroanatomic visual software that precisely visualizes the location of the DBS electrode in the subthalamic nucleus (STN). The objective of this paper is to compare the duration and clinical effects of traditional trial and error versus GUIDE-assisted DBS programming in 10 patients with PD treated with STN DBS.
Methods:
For each patient, neurostimulation parameters were selected with GUIDE to create a stimulation field encompassing the dorsal part of the STN. On programming day, each patient was assessed with both traditional and GUIDE approaches using a crossover design. For GUIDE-assisted sessions, the patients were programmed directly with the DBS settings obtained with the stimulated field model, and if necessary, parameters were adjusted to achieve optimal clinical response. Clinical improvement was assessed with Unified Parkinson's Disease Rating Scale scores for limb bradykinesia, tremor, and rigidity.
Results:
In 7 patients, DBS settings obtained with GUIDE led to suboptimal clinical improvement and mild adjustments were required. After these adjustments, the magnitude of clinical improvement with the 2 approaches was comparable (P = 0.8219). Programming time with GUIDE was significantly shorter than with the traditional programming approach (P < 0.0001).
Conclusions:
Visualization of stimulation fields with GUIDE provides useful information to achieve a clinical improvement comparable with that obtained with the traditional trial and error approach, but with shorter and more efficient programming sessions.
