The potential value of probabilistic tractography-based for MR-guided focused ultrasound thalamotomy for essential tremor

• Published in: NeuroImage clinical 2018-01, Vol.17, p.1019-1027
• Main Authors: Tsolaki, Evangelia, Downes, Angela, Speier, William, Elias, W. Jeff, Pouratian, Nader
• Format: Article
• Language: English
• Subjects: Brain Mapping; Diffusion Tensor Imaging; Essential Tremor - diagnostic imaging; Essential Tremor - surgery; Female; Follow-Up Studies; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Magnetic resonance imaging-guided focused ultrasound; Male; Predictive Value of Tests; Probability; Regular; Severity of Illness Index; Thalamus - diagnostic imaging; Thalamus - surgery; Tractography; Tremor; Ultrasonography - methods
• ISSN: 2213-1582; 2213-1582
• DOI: 10.1016/j.nicl.2017.12.018

Magnetic Resonance-guided Focused UltraSound (MRgFUS) offers an incisionless approach to treat essential tremor (ET). Due to lack of evident internal anatomy on traditional structural imaging, indirect targeting must still be used to localize the lesion. Here, we investigate the potential predictive value of probabilistic tractography guided thalamic targeting by defining how tractography-defined targets, lesion size and location, and clinical outcomes interrelate. MR imaging and clinical outcomes from 12 ET patients that underwent MRgFUS thalamotomy in a pilot study at the University of Virginia were evaluated in this analysis. FSL was used to evaluate each patient's voxel-wise thalamic connectivity with FreeSurfer generated pre- and post-central gyrus targets, to generate thalamic target maps. Using Receiver Operating Characteristic curves, the overlap between these thalamic target maps and the MRgFUS lesion was systematically evaluated relative to clinical outcome. To further define the connectivity characteristics of effective MRgFUS thalamotomy lesions, we evaluated whole brain probabilistic tractography of lesions (using post-treatment imaging to define the lesion pre-treatment diffusion tensor MRI). The structural connectivity difference was explored between subjects with the best clinical outcome relative to all others. Ten of twelve patients presented high percentage of overlapping between connectivity-based thalamic segmentation maps and lesion area. The improvement of clinical score was predicted (AUC: 0.80) using the volume of intersection between the thalamic target (precentral gyrus) map and MRgFUS induced lesion as feature. The main structural differences between those with different magnitudes of response were observed in connectivity to the pre- and post-central gyri and brainstem/cerebellum. MRgFUS thalamotomy lesions characterized by strong structural connectivity to precentral gyrus demonstrated better responses in a cohort of patients treated with MRgFUS for ET. The intersection between lesion and thalamic-connectivity maps to motor - sensory targets proved to be effective in predicting the response to the therapy. These imaging techniques can be used to increase the efficacy and consistency of outcomes with MRgFUS and potentially shorten treatment times by identifying optimal targets in advance of treatment. •MRgFUS thalamic lesions with connecting to peri-rolandic cortices and cerebellum demonstrate superior outcomes.•The overlap of