Abstract #4194

7 Tesla MRI in routine surgical planning for Deep Brain Stimulation for Parkinson’s Disease

Matthijs H.S. de Buck^1,2,3, Wietske van der Zwaag^1,2, Yarit Wiggerts⁴, Niels Rijks⁴, Liza Afzali-Hashemi³, Matthan W.A. Caan⁵, Rob M.A. de Bie⁶, Pepijn van den Munckhof⁴, P. Richard Schuurman⁴, and Maarten Bot⁴

¹Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, ²Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, KNAW, Amsterdam, Netherlands, ³Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, ⁴Department of Neurosurgery, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, ⁵Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, ⁶Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands

Synopsis

Keywords: Parkinson's Disease, Parkinson's Disease, Deep Brain Stimulation; Subthalamic Nucleus; Ultra-High Field MRI

Motivation: Identifying the dorsolateral subthalamic nucleus (STN) for deep brain stimulation (DBS) in Parkinson’s disease (PD) can be challenging due to the size and double-oblique orientation.

Goal(s): To evaluate the influence of 7T T2w-TSE and probabilistic tractography on STN target planning, micro-electrode recordings and motor improvement.

Approach: We describe the implementation of 7T T2w-TSE and probabilistic tractography in 182 PD patients undergoing STN DBS at our centre from 2015-2022.

Results: Implementation of 7T T2w-TSE for STN DBS enabled a refinement in targeting which can be used as basis for adding probabilistic subthalamic connectivity, in order to enhance clinical outcome of STN DBS.

Impact: The extensive evaluation of 360 STNs has not been described previously and shows 7T T2w-TSE and probabilistic tractography can refine STN targeting and surgical efficiency in DBS for PD.

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