OBJECTIVE: Deep brain stimulation (DBS) of the posterior subthalamic area (PSA) is an alternative to thalamic DBS for the treatment of essential tremor (ET). The dentato-rubro-thalamic tract (DRTT) has recently been proposed as the anatomical substrate underlying effective stimulation. For clinical purposes, depiction of the DRTT mainly depends on diffusion tensor imaging (DTI)-based tractography, which has some drawbacks. The objective of this study was to present an accurate targeting strategy for DBS of the PSA based on anatomical landmarks visible on MRI and to evaluate clinical effectiveness. METHODS: The authors performed a retrospective cohort study of a prospective series of 11 ET patients undergoing bilateral DBS of the PSA. The subthalamic nucleus and red nucleus served as anatomical landmarks to define the target point within the adjacent PSA on 3-T T2-weighted MRI. Stimulating contact (SC) positions with reference to the midcommissural point were analyzed and projected onto the stereotactic atlas of Morel. Postoperative outcome assessment after 6 and 12 months was based on change in Tremor Rating Scale (TRS) scores. RESULTS: Actual target position corresponded to the intended target based on anatomical landmarks depicted on MRI. The total TRS score was reduced (improved) from 47.2 ± 15.7 to 21.3 ± 10.7 (p < 0.001). No severe complication occurred. The mean SC position projected onto the PSA at the margin of the cerebellothalamic fascicle and the zona incerta. CONCLUSIONS: Targeting of the PSA based on anatomical landmarks representable on MRI is reliable and leads to accurate lead placement as well as good long-term clinical outcome.
OBJECTIVE: Deep brain stimulation (DBS) of the posterior subthalamic area (PSA) is an alternative to thalamic DBS for the treatment of essential tremor (ET). The dentato-rubro-thalamic tract (DRTT) has recently been proposed as the anatomical substrate underlying effective stimulation. For clinical purposes, depiction of the DRTT mainly depends on diffusion tensor imaging (DTI)-based tractography, which has some drawbacks. The objective of this study was to present an accurate targeting strategy for DBS of the PSA based on anatomical landmarks visible on MRI and to evaluate clinical effectiveness. METHODS: The authors performed a retrospective cohort study of a prospective series of 11 ET patients undergoing bilateral DBS of the PSA. The subthalamic nucleus and red nucleus served as anatomical landmarks to define the target point within the adjacent PSA on 3-T T2-weighted MRI. Stimulating contact (SC) positions with reference to the midcommissural point were analyzed and projected onto the stereotactic atlas of Morel. Postoperative outcome assessment after 6 and 12 months was based on change in Tremor Rating Scale (TRS) scores. RESULTS: Actual target position corresponded to the intended target based on anatomical landmarks depicted on MRI. The total TRS score was reduced (improved) from 47.2 ± 15.7 to 21.3 ± 10.7 (p < 0.001). No severe complication occurred. The mean SC position projected onto the PSA at the margin of the cerebellothalamic fascicle and the zona incerta. CONCLUSIONS: Targeting of the PSA based on anatomical landmarks representable on MRI is reliable and leads to accurate lead placement as well as good long-term clinical outcome.
Entities:
Keywords:
AP = anteroposterior; DBS; DBS = deep brain stimulation; DRTT = dentato-rubro-thalamic tract; DTI = diffusion tensor imaging; ET = essential tremor; LAT = lateral; MCP = midcommissural point; MER = microelectrode recording; PSA = posterior subthalamic area; ROI = region of interest; RaprL = prelemniscal radiation; SC = stimulating contact; STN = subthalamic nucleus; TRS = Tremor Rating Scale; VERT = vertical; Vim = ventral intermediate nucleus; ZI = zona incerta; essential tremor; fct = cerebellothalamic fascicle; functional neurosurgery; posterior subthalamic area; targeting
Authors: Jean-Philippe Lévy; T A Khoa Nguyen; Lenard Lachenmayer; Ines Debove; Gerd Tinkhauser; Katrin Petermann; Alba Segura Amil; Joan Michelis; Michael Schüpbach; Andreas Nowacki; Claudio Pollo Journal: Neuroimage Clin Date: 2020-11-02 Impact factor: 4.881
Authors: Jonathan C Lau; Yiming Xiao; Roy A M Haast; Greydon Gilmore; Kâmil Uludağ; Keith W MacDougall; Ravi S Menon; Andrew G Parrent; Terry M Peters; Ali R Khan Journal: Hum Brain Mapp Date: 2020-07-17 Impact factor: 5.038