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Connectivity-based segmentation of the thalamic motor region for deep brain stimulation in essential tremor: A comparison of deterministic and probabilistic tractography.
Tsolaki, Evangelia; Kashanian, Alon; Chiu, Kevin; Bari, Ausaf; Pouratian, Nader.
Afiliación
  • Tsolaki E; Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. Electronic address: etsolaki@mednet.ucla.edu.
  • Kashanian A; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
  • Chiu K; Brainlab, Inc., 5 Westbrook Corporate Center, Suite 1000, Westchester, IL 60154, USA.
  • Bari A; Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Pouratian N; Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Neuroimage Clin ; 41: 103587, 2024.
Article en En | MEDLINE | ID: mdl-38422832
ABSTRACT

OBJECTIVE:

Deep brain stimulation (DBS) studies have shown that stimulation of the motor segment of the thalamus based on probabilistic tractography is predictive of improvement in essential tremor (ET). However, probabilistic methods are computationally demanding, requiring the need for alternative tractography methods for use in the clinical setting. The purpose of this study was to compare probabilistic vs deterministic tractography methods for connectivity-based targeting in patients with ET.

METHODS:

Probabilistic and deterministic tractography methods were retrospectively applied to diffusion-weighted data sets in 36 patients with refractory ET. The thalamus and precentral gyrus were selected as regions of interest and fiber tracking was performed between these regions to produce connectivity-based thalamic segmentations, per prior methods. The resultant deterministic target maps were compared with those of thresholded probabilistic maps. The center of gravity (CG) of each connectivity map was determined and the differences in spatial distribution between the tractography methods were characterized. Furthermore, the intersection between the connectivity maps and CGs with the therapeutic volume of tissue activated (VTA) was calculated. A mixed linear model was then used to assess clinical improvement in tremor with volume of overlap.

RESULTS:

Both tractography methods delineated the region of the thalamus with connectivity to the precentral gyrus to be within the posterolateral aspect of the thalamus. The average CG of deterministic maps was more medial-posterior in both the left (3.7 ± 1.3 mm3) and the right (3.5 ± 2.2 mm3) hemispheres when compared to 30 %-thresholded probabilistic maps. Mixed linear model showed that the volume of overlap between CGs of deterministic and probabilistic targeting maps and therapeutic VTAs were significant predictors of clinical improvement.

CONCLUSIONS:

Deterministic tractography can reconstruct DBS thalamic target maps in approximately 5 min comparable to those produced by probabilistic methods that require > 12 h to generate. Despite differences in CG between the methods, both deterministic-based and probabilistic targeting were predictive of clinical improvement in ET.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Temblor Esencial / Estimulación Encefálica Profunda Límite: Humans Idioma: En Revista: Neuroimage Clin Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Temblor Esencial / Estimulación Encefálica Profunda Límite: Humans Idioma: En Revista: Neuroimage Clin Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos