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Research ArticleFunctional

Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease

E.H. Middlebrooks, I.S. Tuna, S.S. Grewal, L. Almeida, M.G. Heckman, E.R. Lesser, K.D. Foote, M.S. Okun and V.M. Holanda
American Journal of Neuroradiology June 2018, 39 (6) 1127-1134; DOI: https://doi.org/10.3174/ajnr.A5641
E.H. Middlebrooks
aFrom the Departments of Radiology (E.H.M.)
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I.S. Tuna
dDepartments of Radiology (I.S.T.)
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S.S. Grewal
bNeurosurgery (S.S.G.)
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L. Almeida
eNeurology (L.A., M.S.O.)
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M.G. Heckman
cDivision of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
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E.R. Lesser
cDivision of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
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K.D. Foote
fNeurosurgery (K.D.F.), University of Florida, Gainesville, Florida
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M.S. Okun
eNeurology (L.A., M.S.O.)
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V.M. Holanda
gCenter of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil.
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Abstract

BACKGROUND AND PURPOSE: Although globus pallidus internus deep brain stimulation is a widely accepted treatment for Parkinson disease, there is persistent variability in outcomes that is not yet fully understood. In this pilot study, we aimed to investigate the potential role of globus pallidus internus segmentation using probabilistic tractography as a supplement to traditional targeting methods.

MATERIALS AND METHODS: Eleven patients undergoing globus pallidus internus deep brain stimulation were included in this retrospective analysis. Using multidirection diffusion-weighted MR imaging, we performed probabilistic tractography at all individual globus pallidus internus voxels. Each globus pallidus internus voxel was then assigned to the 1 ROI with the greatest number of propagated paths. On the basis of deep brain stimulation programming settings, the volume of tissue activated was generated for each patient using a finite element method solution. For each patient, the volume of tissue activated within each of the 10 segmented globus pallidus internus regions was calculated and examined for association with a change in the Unified Parkinson Disease Rating Scale, Part III score before and after treatment.

RESULTS: Increasing volume of tissue activated was most strongly correlated with a change in the Unified Parkinson Disease Rating Scale, Part III score for the primary motor region (Spearman r = 0.74, P = .010), followed by the supplementary motor area/premotor cortex (Spearman r = 0.47, P = .15).

CONCLUSIONS: In this pilot study, we assessed a novel method of segmentation of the globus pallidus internus based on probabilistic tractography as a supplement to traditional targeting methods. Our results suggest that our method may be an independent predictor of deep brain stimulation outcome, and evaluation of a larger cohort or prospective study is warranted to validate these findings.

ABBREVIATIONS:

DBS
deep brain stimulation
FGATIR
fast gray matter acquisition T1 inversion recovery
GPe
globus pallidus externus
GPi
globus pallidus internus
M1
primary motor cortex
MNI
Montreal Neurological Institute
PD
Parkinson disease
SMA/PMC
supplementary motor area/premotor cortex
SN
substantia nigra
STN
subthalamic nucleus
UPDRS III
Unified Parkinson Disease Rating Scale, Part III
VTA
volume of tissue activated
  • © 2018 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 39 (6)
American Journal of Neuroradiology
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1 Jun 2018
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E.H. Middlebrooks, I.S. Tuna, S.S. Grewal, L. Almeida, M.G. Heckman, E.R. Lesser, K.D. Foote, M.S. Okun, V.M. Holanda
Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease
American Journal of Neuroradiology Jun 2018, 39 (6) 1127-1134; DOI: 10.3174/ajnr.A5641

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Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease
E.H. Middlebrooks, I.S. Tuna, S.S. Grewal, L. Almeida, M.G. Heckman, E.R. Lesser, K.D. Foote, M.S. Okun, V.M. Holanda
American Journal of Neuroradiology Jun 2018, 39 (6) 1127-1134; DOI: 10.3174/ajnr.A5641
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