The subject’s preoperative T1 and T2 MRI images were fused with the postoperative CT in Brainlab Elements software (Brainlab AG, Munich, Germany). Leads were manually localized based on their artifacts and their rotational orientation determined by Brainlab algorithm. Volume of tissue activated (VTA) were calculated based on the stimulation parameters and configuration. Extraction and normalization of the VTAs from the patients native space into the common MNI; ICBM 2009b NLIN asymmetric brain space (Fonov et al., 2009, 2011) as done by an in-house built toolbox in Matlab environment (in part publicly available at: https://github.com/JonasRoothans/ArenaToolbox), which makes use of the unified tissue segmentation (Ashburner & Friston, 2005) in SPM12 (statistical Parametric Mapping, http://www.fil.ion.ucl.ac.uk/spm/software/spm12/).
Segmentation of the ipsilateral vestibulothalamic tract (iVTT) and tract from Interstitial Nucleus of Cajal (INC) to Zona incerta.
To reconstruct the ipsilateral vestibulothalamic tract, we segmented the vestibular nucleus in Mango (Multi-Image analysis GUI, http://ric.uthscsa.edu/mango/) on the fractional anisotropy template of the MNI; ICBM 2009b NLIN asymmetric brain space in a similar manner as previously described (Jang & Kwon, 2018), while depending on the posterior, medial and lateral anatomical boundaries for segmenting the vestibular nucleus in the shape of a square prism with the long dimension along the vertical axis and otherwise equal sides of 5 mm . We then performed fiber-tracking in DSI studio using the HCP1021 template (http://brain.labsolver.org/diffusion-mri-templates/hcp-842-hcp-1021). The template represents the averaged voxel-based spin distribution functions of subjects from the human connectome project allowing for fiber reconstruction based on the regions of interest and tracking parameters (Van Essen et al., 2012; Yeh et al., 2010; Yeh & Tseng, 2011)
The right vestibular nucleus was set as a seed and the right thalamus from the automated anatomical labelling atlas 3 (Rolls et al., 2020) as a region of interest. We used the following parameters: 100,000 seeds, QA threshold: 0.25, angular threshold of 52 degrees and using Euler’s deterministic fiber-tracking algorithm with a step size of 0.5 mm. For visualization purposes the INC was segmented on a T1 structural template (MNI; ICBM 2009b NLIN asymmetric) in Mango with aid of relations to neighboring neuroanatomical structures as depicted in Allen human brain atlas (http://www.atlas.brain-map.org) with the help of HCP842 tractography atlas (Yeh et al., 2018) where appropriate. The zona incerta was acquired from supplementary files of published literature (Lau et al., 2020). The INC was used as seed and zona incerta as a region of interest for fiber-tracking in DSI studio using the HCP1021 template with the following parameters: 100,000 seeds, QA threshold: 0.20, angular threshold of 52 degrees and using Euler’s deterministic fiber-tracking algorithm with a step size of 0.5 mm. The tracts and anatomical structures of interest were then visualized in DSI studio superimposed on a high resolution joint template from T1 & T2 7T MRIs of an ex-vivo brain normalized to MNI space (Edlow et al., 2019).
Supplementary method references
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