Purpose: The subthalamic nucleus (STN) and globus pallidus internus (GPi) targets for deep brain stimulation (DBS) can be defined by atlas coordinates or direct visualisation of the target on MRI. The aim of this study was to evaluate geometric differences between atlas-based targeting and MRI-guided direct targeting.
Methods: One-hundred-nine Parkinson's disease or dystonia patients records who underwent DBS surgery between 2005 and 2016 were prospectively reviewed. MRI-guided direct targeting coordinates was used to implant 205 STN and 64 GPi electrodes and compared with atlas-based coordinates.
Results: The directly targeted coordinates (mean, SD, range) for STN were : [9.9 ± 1.1 (7.1 - 13.2)], : [-0.8 ± 1.1 (-4.2 - 2)] and : [-4.7 ± 0.53 (-5.9 - -3.2)]. The mean value for the STN was 2.1 mm more medial ( < 0.0001), 1.2 mm more anterior ( < 0.0001) and 0.7 mm more ventral ( < 0.0001) than the atlas target. The targeted coordinates for GPi were : [22.3 ± 2.0 (17.8 - 26.1)], : [-0.2 ± 2.2 (-4.5 - 3.4)], : [-4.3 ± 0.8 (-6.2 - -2.3)]. The mean value for the GPi was 2.2 mm ( < 0.001) more posterior and 0.3 mm ( < 0.01) more ventral than the atlas-based coordinates.
Conclusion: MRI-guided targeting may be more accurate than atlas-based targeting due to individual variations in anatomy.
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http://dx.doi.org/10.1080/02688697.2020.1850641 | DOI Listing |
Neuroimage
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China. Electronic address:
Functional near-infrared spectroscopy (fNIRS) is a widely-used transcranial brain imaging technique in neuroscience research. Nevertheless, the lack of anatomical information from recordings poses challenges for designing appropriate optode montages and for localizing fNIRS signals to underlying anatomical regions. The photon measurement density function (PMDF) is often employed to address these issues, as it accurately measures the sensitivity of an fNIRS channel to perturbations of absorption coefficients at any brain location.
View Article and Find Full Text PDFNeurosurg Rev
November 2024
Department of Neurosurgery, Yeditepe University, School of Medicine Kosuyolu Hospital, Kosuyolu Street, Kadıkoy, İstanbul, 34718, Türkiye.
This study aims to improve understanding of the anatomy of the deep brain nuclei relevant to deep brain stimulation as well as stereotactic lesioning procedures, including radio frequency, high-focused ultrasound, and radiosurgery. We created interactive, three-dimensional virtual models from cadaveric dissections and radiological segmentation. We used five brain specimens (ten hemispheres) obtained from routine autopsies, prepared according to Klingler's method.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Radiophysics and MRI Physics Laboratory, Université Libre De Bruxelles (ULB), Brussels, Belgium; Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium. Electronic address:
Postoperative radiotherapy (RT) has been shown to effectively reduce disease recurrence and mortality in breast cancer (BC) treatment. A critical step in the planning workflow is the accurate delineation of clinical target volumes (CTV) and organs-at-risk (OAR). This literature review evaluates recent advancements in deep-learning (DL) and atlas-based auto-contouring techniques for CTVs and OARs in BC planning-CT images for RT.
View Article and Find Full Text PDFCereb Cortex
October 2024
Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China.
This study investigated alterations in functional connectivity (FC) within cortico-basal ganglia-thalamo-cortical (CBTC) circuits and identified critical connections influencing poststroke motor recovery, offering insights into optimizing brain modulation strategies to address the limitations of traditional single-target stimulation. We delineated individual-specific parallel loops of CBTC through probabilistic tracking and voxel connectivity profiles-based segmentation and calculated FC values in poststroke patients and healthy controls, comparing with conventional atlas-based FC calculation. Support vector machine (SVM) analysis distinguished poststroke patients from controls.
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