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Ling Q, Liu A, Li Y, McKeown MJ, Chen X. fMRI-based spatio-temporal parcellations of the human brain. Curr Opin Neurol 2024; 37:369-380. [PMID: 38804205 DOI: 10.1097/wco.0000000000001280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
PURPOSE OF REVIEW Human brain parcellation based on functional magnetic resonance imaging (fMRI) plays an essential role in neuroscience research. By segmenting vast and intricate fMRI data into functionally similar units, researchers can better decipher the brain's structure in both healthy and diseased states. This article reviews current methodologies and ideas in this field, while also outlining the obstacles and directions for future research. RECENT FINDINGS Traditional brain parcellation techniques, which often rely on cytoarchitectonic criteria, overlook the functional and temporal information accessible through fMRI. The adoption of machine learning techniques, notably deep learning, offers the potential to harness both spatial and temporal information for more nuanced brain segmentation. However, the search for a one-size-fits-all solution to brain segmentation is impractical, with the choice between group-level or individual-level models and the intended downstream analysis influencing the optimal parcellation strategy. Additionally, evaluating these models is complicated by our incomplete understanding of brain function and the absence of a definitive "ground truth". SUMMARY While recent methodological advancements have significantly enhanced our grasp of the brain's spatial and temporal dynamics, challenges persist in advancing fMRI-based spatio-temporal representations. Future efforts will likely focus on refining model evaluation and selection as well as developing methods that offer clear interpretability for clinical usage, thereby facilitating further breakthroughs in our comprehension of the brain.
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Affiliation(s)
- Qinrui Ling
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China
| | - Aiping Liu
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China
| | - Yu Li
- Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei 230088, China
| | - Martin J McKeown
- Department of Medicine, University of British Columbia, Vancouver, Vancouver V6T2B5, Canada
| | - Xun Chen
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China
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2
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Di Luca DG, Ramirez-Gomez C, Germann J, Santyr B, Boutet A, Milosevic L, Lang AE, Kalia SK, Lozano AM, Fasano A. Deep Brain Stimulation of the Globus Pallidus Internus and Externus in Multiple System Atrophy. Mov Disord 2023; 38:2121-2125. [PMID: 37544011 DOI: 10.1002/mds.29573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/17/2023] [Accepted: 07/20/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND Multiple system atrophy with parkinsonism (MSA-P) is a progressive condition with no effective treatment. OBJECTIVE The aim of this study was to describe the safety and efficacy of deep brain stimulation (DBS) of globus pallidus pars interna and externa in a cohort of patients with MSA-P. METHODS Six patients were included. Changes in Movement Disorders Society Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS III), Parkinson's Disease Questionnaire (PDQ-39) scores, and levodopa equivalent daily dose were compared before and after DBS. Electrode localization and volume tissue activation were calculated. RESULTS DBS surgery did not result in any major adverse events or intraoperative complications. Overall, no differences in MDS-UPDRS III scores were demonstrated (55.2 ± 17.6 preoperatively compared with 67.3 ± 19.2 at 1 year after surgery), although transient improvement in mobility and dyskinesia was reported in some subjects. CONCLUSIONS Globus pallidus pars interna and externa DBS for patients with MSA-P did not result in major complications, although it did not provide significant clinical benefit as measured by MDS-UPDRS III. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Daniel G Di Luca
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Carolina Ramirez-Gomez
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Jurgen Germann
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Brendan Santyr
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Alexandre Boutet
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Luka Milosevic
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
| | - Suneil K Kalia
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Andres M Lozano
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
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3
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Wu B, Zhang F, Xu L, Shen S, Shao P, Sun M, Liu P, Yao P, Xu RX. Modality preserving U-Net for segmentation of multimodal medical images. Quant Imaging Med Surg 2023; 13:5242-5257. [PMID: 37581055 PMCID: PMC10423364 DOI: 10.21037/qims-22-1367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 05/19/2023] [Indexed: 08/16/2023]
Abstract
Background Recent advances in artificial intelligence and digital image processing have inspired the use of deep neural networks for segmentation tasks in multimodal medical imaging. Unlike natural images, multimodal medical images contain much richer information regarding different modal properties and therefore present more challenges for semantic segmentation. However, there is no report on systematic research that integrates multi-scaled and structured analysis of single-modal and multimodal medical images. Methods We propose a deep neural network, named as Modality Preserving U-Net (MPU-Net), for modality-preserving analysis and segmentation of medical targets from multimodal medical images. The proposed MPU-Net consists of a modality preservation encoder (MPE) module that preserves the feature independency among the modalities and a modality fusion decoder (MFD) module that performs a multiscale feature fusion analysis for each modality in order to provide a rich feature representation for the final task. The effectiveness of such a single-modal preservation and multimodal fusion feature extraction approach is verified by multimodal segmentation experiments and an ablation study using brain tumor and prostate datasets from Medical Segmentation Decathlon (MSD). Results The segmentation experiments demonstrated the superiority of MPU-Net over other methods in the segmentation tasks for multimodal medical images. In the brain tumor segmentation tasks, the Dice scores (DSCs) for the whole tumor (WT), the tumor core (TC) and the enhancing tumor (ET) regions were 89.42%, 86.92%, and 84.59%, respectively. In the meanwhile, the 95% Hausdorff distance (HD95) results were 3.530, 4.899 and 2.555, respectively. In the prostate segmentation tasks, the DSCs for the peripheral zone (PZ) and the transitional zone (TZ) of the prostate were 71.20% and 90.38%, respectively. In the meanwhile, the 95% HD95 results were 6.367 and 4.766, respectively. The ablation study showed that the combination of single-modal preservation and multimodal fusion methods improved the performance of multimodal medical image feature analysis. Conclusions In the segmentation tasks using brain tumor and prostate datasets, the MPU-Net method has achieved the improved performance in comparison with the conventional methods, indicating its potential application for other segmentation tasks in multimodal medical images.
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Affiliation(s)
- Bingxuan Wu
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China
| | - Fan Zhang
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China
| | - Liang Xu
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China
| | - Shuwei Shen
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China
| | - Pengfei Shao
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China
| | - Mingzhai Sun
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China
| | - Peng Liu
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China
| | - Peng Yao
- School of Microelectronics, University of Science and Technology of China, Hefei, China
| | - Ronald X. Xu
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China
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Holland MT, Jiao J, Mantovani A, Anderson S, Mitchell KA, Safarpour D, Burchiel KJ. Identifying the therapeutic zone in globus pallidus deep brain stimulation for Parkinson's disease. J Neurosurg 2023; 138:329-336. [PMID: 35901683 DOI: 10.3171/2022.5.jns22152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 05/19/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The globus pallidus internus (GPI) has been demonstrated to be an effective surgical target for deep brain stimulation (DBS) treatment in patients with medication-refractory Parkinson's disease (PD). The ability of neurosurgeons to define the area of greatest therapeutic benefit within the globus pallidus (GP) may improve clinical outcomes in these patients. The objective of this study was to determine the best DBS therapeutic implantation site within the GP for effective treatment in PD patients. METHODS The authors performed a retrospective review of 56 patients who underwent bilateral GP DBS implantation at their institution during the period from January 2015 to January 2020. Each implanted contact was anatomically localized. Patients were followed for stimulation programming for at least 6 months. The authors reviewed preoperative and 6-month postsurgery clinical outcomes based on data from the Unified Parkinson's Disease Rating Scale Part III (UPDRS III), dyskinesia scores, and levodopa equivalent daily dose (LEDD). RESULTS Of the 112 leads implanted, the therapeutic cathode was most frequently located in the lamina between the GPI external segment (GPIe) and the GP externus (GPE) (n = 40). Other common locations included the GPE (n = 24), the GPIe (n = 15), and the lamina between the GPI internal segment (GPIi) and the GPIe (n = 14). In the majority of patients (73%) a monopolar programming configuration was used. At 6 months postsurgery, UPDRS III off medications (OFF) and on stimulation (ON) scores significantly improved (z = -4.02, p < 0.001), as did postsurgery dyskinesia ON scores (z = -4.08, p < 0.001) and postsurgery LEDD (z = -4.7, p < 0.001). CONCLUSIONS Though the ventral GP (pallidotomy target) has been a commonly used target for GP DBS, a more dorsolateral target may be more effective for neuromodulation strategies. The assessment of therapeutic contact locations performed in this study showed that the lamina between GPI and GPE used in most patients is the optimal central stimulation target. This information should improve preoperative GP targeting.
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Affiliation(s)
- Marshall T Holland
- 1Department of Neurological Surgery, University of Alabama at Birmingham, Alabama; and
| | | | - Alessandra Mantovani
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
| | | | - Katherine A Mitchell
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
| | | | - Kim J Burchiel
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
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5
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Lai Y, He N, Wei H, Deng L, Zhou H, Li J, Kaiser M, Zhang C, Li D, Sun B. Value of functional connectivity in outcome prediction for pallidal stimulation in Parkinson disease. J Neurosurg 2023; 138:27-37. [PMID: 35523258 DOI: 10.3171/2022.3.jns212732] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/21/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Functional connectivity shows the ability to predict the outcome of subthalamic nucleus deep brain stimulation (DBS) in Parkinson disease (PD). However, evidence supporting its value in predicting the outcome of globus pallidus internus (GPi) DBS remains scarce. In this study the authors investigated patient-specific functional connectivity related to GPi DBS outcome in PD and established connectivity models for outcome prediction. METHODS The authors reviewed the outcomes of 21 patients with PD who received bilateral GPi DBS and presurgical functional MRI at the Ruijin Hospital. The connectivity profiles within cortical areas identified as relevant to DBS outcome in the literature were calculated using the intersection of the volume of tissue activated (VTA) and the local structures as the seeds. Combined with the leave-one-out cross-validation strategy, models of the optimal connectivity profile were constructed to predict outcome. RESULTS Connectivity between the pallidal areas and primary motor area, supplementary motor area (SMA), and premotor cortex was identified through the literature as related to GPi DBS outcome. The similarity between the connectivity profile within the primary motor area, SMA, pre-SMA, and premotor cortex seeding from the VTA-GPi intersection from an out-of-sample patient and the constructed in-sample optimal connectivity profile predicts GPi DBS outcome (R = 0.58, p = 0.006). The predictions on average deviated by 13.1% ± 11.3% from actual improvements. On the contrary, connectivity profiles seeding from the GPi (R = -0.12, p = 0.603), the VTA (R = 0.23, p = 0.308), the VTA outside the GPi (R = 0.12, p = 0.617), or other local structures were found not to be predictive. CONCLUSIONS The results showed that patient-specific functional connectivity seeding from the VTA-GPi intersection could help in GPi DBS outcome prediction. Reproducibility remains to be determined across centers in larger cohorts stratified by PD motor subtype.
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Affiliation(s)
- Yijie Lai
- 1Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Naying He
- 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongjiang Wei
- 3Department of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China
| | - Lifu Deng
- 4Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | - Haiyan Zhou
- 5Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Li
- 6School of Information Science and Technology, Shanghai Technical University, Shanghai, China
| | - Marcus Kaiser
- 7School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom; and
| | - Chencheng Zhang
- 1Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- 8Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, China
| | - Dianyou Li
- 1Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- 1Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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6
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Multiscale co-simulation of deep brain stimulation with brain networks in neurodegenerative disorders. BRAIN MULTIPHYSICS 2022. [DOI: 10.1016/j.brain.2022.100058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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7
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Butenko K, Li N, Neudorfer C, Roediger J, Horn A, Wenzel GR, Eldebakey H, Kühn AA, Reich MM, Volkmann J, Rienen UV. Linking profiles of pathway activation with clinical motor improvements - A retrospective computational study. Neuroimage Clin 2022; 36:103185. [PMID: 36099807 PMCID: PMC9474565 DOI: 10.1016/j.nicl.2022.103185] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/27/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) is an established therapy for patients with Parkinson's disease. In silico computer models for DBS hold the potential to inform a selection of stimulation parameters. In recent years, the focus has shifted towards DBS-induced firing in myelinated axons, deemed particularly relevant for the external modulation of neural activity. OBJECTIVE The aim of this project was to investigate correlations between patient-specific pathway activation profiles and clinical motor improvement. METHODS We used the concept of pathway activation modeling, which incorporates advanced volume conductor models and anatomically authentic fiber trajectories to estimate DBS-induced action potential initiation in anatomically plausible pathways that traverse in close proximity to targeted nuclei. We applied the method on two retrospective datasets of DBS patients, whose clinical improvement had been evaluated according to the motor part of the Unified Parkinson's Disease Rating Scale. Based on differences in outcome and activation levels for intrapatient DBS protocols in a training cohort, we derived a pathway activation profile that theoretically induces a complete alleviation of symptoms described by UPDRS-III. The profile was further enhanced by analyzing the importance of matching activation levels for individual pathways. RESULTS The obtained profile emphasized the importance of activation in pathways descending from the motor-relevant cortical regions as well as the pallidothalamic pathways. The degree of similarity of patient-specific profiles to the optimal profile significantly correlated with clinical motor improvement in a test cohort. CONCLUSION Pathway activation modeling has a translational utility in the context of motor symptom alleviation in Parkinson's patients treated with DBS.
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Affiliation(s)
- Konstantin Butenko
- Institute of General Electrical Engineering, University of Rostock, Rostock, Germany,Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Corresponding author.
| | - Ningfei Li
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Clemens Neudorfer
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Roediger
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany,Einstein Center for Neurosciences, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Gregor R. Wenzel
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Hazem Eldebakey
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Andrea A. Kühn
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Martin M. Reich
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Ursula van Rienen
- Institute of General Electrical Engineering, University of Rostock, Rostock, Germany,Department Life, Light & Matter, University of Rostock, Rostock, Germany,Department of Ageing of Individuals and Society, University of Rostock, Rostock, Germany,Corresponding author.
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8
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Sammartino F, Marsh R, Yeh FC, Sondergaard A, Changizi BK, Krishna V. Radiological identification of the globus pallidus motor subregion in Parkinson's disease. J Neurosurg 2022; 137:175-183. [PMID: 34740190 DOI: 10.3171/2021.7.jns21858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/01/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Globus pallidus (GP) lesioning improves motor symptoms of Parkinson's disease (PD) and is occasionally associated with nonmotor side effects. Although these variable clinical effects were shown to be site-specific within the GP, the motor and nonmotor subregions have not been distinguished radiologically in patients with PD. The GP was recently found to have a distinct radiological signature on diffusion MRI (dMRI), potentially related to its unique cellular content and organization (or tissue architecture). In this study, the authors hypothesize that the magnitude of water diffusivity, a surrogate for tissue architecture, will radiologically distinguish motor from nonmotor GP subregions in patients with PD. They also hypothesize that the therapeutic focused ultrasound pallidotomy lesions will preferentially overlap the motor subregion. METHODS Diffusion MRI from healthy subjects (n = 45, test-retest S1200 cohort) and PD patients (n = 33) was parcellated based on the magnitude of water diffusivity in the GP, as measured orientation distribution function (ODF). A clustering algorithm was used to identify GP parcels with distinct ODF magnitude. The individual parcels were used as seeds for tractography to distinguish motor from nonmotor subregions. The locations of focused ultrasound lesions relative to the GP parcels were also analyzed in 11 patients with PD. RESULTS Radiologically, three distinct parcels were identified within the GP in healthy controls and PD patients: posterior, central, and anterior. The posterior and central parcels comprised the motor subregion and the anterior parcel was classified as a nonmotor subregion based on their tractography connections. The focused ultrasound lesions preferentially overlapped with the motor subregion (posterior more than central). The hotspots for motor improvement were localized in the posterior GP parcel. CONCLUSIONS Using a data-driven approach of ODF-based parcellation, the authors radiologically distinguished GP motor subregions in patients with PD. This method can aid stereotactic targeting in patients with PD undergoing surgical treatments, especially focused ultrasound ablation.
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Affiliation(s)
| | | | - Fang-Cheng Yeh
- 2Department of Neurological Surgery, University of Pittsburgh, Pennsylvania
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9
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Milardi D, Antonio Basile G, Faskowitz J, Bertino S, Quartarone A, Anastasi G, Bramanti A, Ciurleo R, Cacciola A. Effects of diffusion signal modeling and segmentation approaches on subthalamic nucleus parcellation. Neuroimage 2022; 250:118959. [PMID: 35122971 DOI: 10.1016/j.neuroimage.2022.118959] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 11/24/2021] [Accepted: 01/31/2022] [Indexed: 12/14/2022] Open
Abstract
The subthalamic nucleus (STN) is commonly used as a surgical target for deep brain stimulation in movement disorders such as Parkinson's Disease. Tractography-derived connectivity-based parcellation (CBP) has been recently proposed as a suitable tool for non-invasive in vivo identification and pre-operative targeting of specific functional territories within the human STN. However, a well-established, accurate and reproducible protocol for STN parcellation is still lacking. The present work aims at testing the effects of different tractography-based approaches for the reconstruction of STN functional territories. We reconstructed functional territories of the STN on the high-quality dataset of 100 unrelated healthy subjects and on the test-retest dataset of the Human Connectome Project (HCP) repository. Connectivity-based parcellation was performed with a hypothesis-driven approach according to cortico-subthalamic connectivity, after dividing cortical areas into three groups: associative, limbic and sensorimotor. Four parcellation pipelines were compared, combining different signal modeling techniques (single-fiber vs multi-fiber) and different parcellation approaches (winner takes all parcellation vs fiber density thresholding). We tested these procedures on STN regions of interest obtained from three different, commonly employed, subcortical atlases. We evaluated the pipelines both in terms of between-subject similarity, assessed on the cohort of 100 unrelated healthy subjects, and of within-subject similarity, using a second cohort of 44 subjects with available test-retest data. We found that each parcellation provides converging results in terms of location of the identified parcels, but with significative variations in size and shape. All pipelines obtained very high within-subject similarity, with tensor-based approaches outperforming multi-fiber pipelines. On the other hand, higher between-subject similarity was found with multi-fiber signal modeling techniques combined with fiber density thresholding. We suggest that a fine-tuning of tractography-based parcellation may lead to higher reproducibility and aid the development of an optimized surgical targeting protocol.
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Affiliation(s)
- Demetrio Milardi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Joshua Faskowitz
- Program in Neuroscience, Indiana University, Bloomington, IN, USA; Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10th Street, Bloomington, IN, 47405, USA
| | - Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Angelo Quartarone
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giuseppe Anastasi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alessia Bramanti
- Department of Medicine, Surgery and Dentistry "Medical School of Salerno"- University of Salerno, Italy
| | | | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
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10
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Shih YC, Tseng WYI, Montaser-Kouhsari L. Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson's disease: A mini review. Front Aging Neurosci 2022; 14:1018017. [PMID: 36910861 PMCID: PMC9992993 DOI: 10.3389/fnagi.2022.1018017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 12/26/2022] [Indexed: 02/24/2023] Open
Abstract
Parkinson's disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD, such as cognitive impairments. The heterogeneity of PD suggests widespread brain structural changes, and axonal involvement appears to be critical to the pathophysiology of PD. As α-synuclein pathology has been suggested to cause axonal changes followed by neuronal degeneration, diffusion tensor imaging (DTI) as an in vivo imaging technique emerges to characterize early detectable white matter changes due to PD. Here, we reviewed the past 5-year literature to show how DTI has helped identify axonal abnormalities at different PD stages or in different PD subtypes and atypical parkinsonism. We also showed the recent clinical utilities of DTI tractography in interventional treatments such as deep brain stimulation (DBS). Mounting evidence supported by multisite DTI data suggests that DTI along with the advanced analytic methods, can delineate dynamic pathophysiological processes from the early to late PD stages and differentiate distinct structural networks affected in PD and other parkinsonism syndromes. It indicates that DTI, along with recent advanced analytic methods, can assist future interventional studies in optimizing treatments for PD patients with different clinical conditions and risk profiles.
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Affiliation(s)
- Yao-Chia Shih
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan, Taiwan
| | - Wen-Yih Isaac Tseng
- AcroViz Inc., Taipei, Taiwan.,Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
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11
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Wehmeyer L, Schüller T, Kiess J, Heiden P, Visser-Vandewalle V, Baldermann JC, Andrade P. Target-Specific Effects of Deep Brain Stimulation for Tourette Syndrome: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:769275. [PMID: 34744993 PMCID: PMC8563609 DOI: 10.3389/fneur.2021.769275] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 09/21/2021] [Indexed: 01/09/2023] Open
Abstract
Background: Extended research has pointed to the efficacy of deep brain stimulation (DBS) in treatment of patients with treatment-refractory Tourette syndrome (TS). The four most commonly used DBS targets for TS include the centromedian nucleus-nucleus ventrooralis internus (CM-Voi) and the centromedian nucleus-parafascicular (CM-Pf) complexes of the thalamus, and the posteroventrolateral (pvIGPi) and the anteromedial portion of the globus pallidus internus (amGPi). Differences and commonalities between those targets need to be compared systematically. Objective: Therefore, we evaluated whether DBS is effective in reducing TS symptoms and target-specific differences. Methods: A PubMed literature search was conducted according to the PRISMA guidelines. Eligible literature was used to conduct a systematic review and meta-analysis. Results: In total, 65 studies with 376 patients were included. Overall, Yale Global Tic Severity Scale (YGTSS) scores were reduced by more than 50 in 69% of the patients. DBS also resulted in significant reductions of secondary outcome measures, including the total YGTSS, modified Rush Video-Based Tic Rating Scale (mRVRS), Yale-Brown Obsessive Compulsive Scale (YBOCS), and Becks Depression Inventory (BDI). All targets resulted in significant reductions of YGTSS scores and, with the exception of the CM-Pf, also in reduced YBOCS scores. Interestingly, DBS of pallidal targets showed increased YGTSS and YBOCS reductions compared to thalamic targets. Also, the meta-analysis including six randomized controlled and double-blinded trials demonstrated clinical efficacy of DBS for TS, that remained significant for GPi but not thalamic stimulation in two separate meta-analyses. Conclusion: We conclude that DBS is a clinically effective treatment option for patients with treatment-refractory TS, with all targets showing comparable improvement rates. Future research might focus on personalized and symptom-specific target selection.
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Affiliation(s)
- Laura Wehmeyer
- Faculty of Medicine and University Hospital Cologne, Department of Stereotactic and Functional Neurosurgery, University of Cologne, Cologne, Germany,*Correspondence: Laura Wehmeyer
| | - Thomas Schüller
- Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Jana Kiess
- Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Petra Heiden
- Faculty of Medicine and University Hospital Cologne, Department of Stereotactic and Functional Neurosurgery, University of Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Faculty of Medicine and University Hospital Cologne, Department of Stereotactic and Functional Neurosurgery, University of Cologne, Cologne, Germany
| | - Juan Carlos Baldermann
- Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany,Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany
| | - Pablo Andrade
- Faculty of Medicine and University Hospital Cologne, Department of Stereotactic and Functional Neurosurgery, University of Cologne, Cologne, Germany
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12
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Wong JK, Hilliard JD, Holanda VM, Gunduz A, Wagle Shukla A, Foote KD, Okun MS. Time for a New 3-D Image for Globus Pallidus Internus Deep Brain Stimulation Targeting and Programming. JOURNAL OF PARKINSON'S DISEASE 2021; 11:1881-1885. [PMID: 34420982 PMCID: PMC8609712 DOI: 10.3233/jpd-212820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Deep brain stimulation (DBS) is an effective neuromodulatory therapy for Parkinson’s disease (PD). Early studies using globus pallidus internus (GPi) DBS for PD profiled the nucleus as having two functional zones. This concept disseminated throughout the neuromodulation community as the “GPi triangle”. Although our understanding of the pallidum has greatly evolved over the past 20 years, we continue to reference the triangle in our clinical decision-making process. We propose a new direction, termed the spatial boundary hypothesis, to build upon the 2-dimensional outlook on GPi DBS. We believe an updated 3-D GPi model can produce more consistent, positive patient outcomes.
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Affiliation(s)
- Joshua K. Wong
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Justin D. Hilliard
- Fixel Institute for Neurological Diseases, Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Vanessa M. Holanda
- Center of Neurology and Neurosurgery Associates (CENNA), BP - A Beneficência Portuguesa de São Paulo, São Paulo, SP, Brazil
- Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
| | - Aysegul Gunduz
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville, FL, USA
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Aparna Wagle Shukla
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Kelly D. Foote
- Fixel Institute for Neurological Diseases, Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Michael S. Okun
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida, Gainesville, FL, USA
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13
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Bertino S, Basile GA, Bramanti A, Ciurleo R, Tisano A, Anastasi GP, Milardi D, Cacciola A. Ventral intermediate nucleus structural connectivity-derived segmentation: anatomical reliability and variability. Neuroimage 2021; 243:118519. [PMID: 34461233 DOI: 10.1016/j.neuroimage.2021.118519] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/24/2021] [Accepted: 08/25/2021] [Indexed: 12/30/2022] Open
Abstract
The Ventral intermediate nucleus (Vim) of thalamus is the most targeted structure for the treatment of drug-refractory tremors. Since methodological differences across existing studies are remarkable and no gold-standard pipeline is available, in this study, we tested different parcellation pipelines for tractography-derived putative Vim identification. Thalamic parcellation was performed on a high quality, multi-shell dataset and a downsampled, clinical-like dataset using two different diffusion signal modeling techniques and two different voxel classification criteria, thus implementing a total of four parcellation pipelines. The most reliable pipeline in terms of inter-subject variability has been picked and parcels putatively corresponding to motor thalamic nuclei have been selected by calculating similarity with a histology-based mask of Vim. Then, spatial relations with optimal stimulation points for the treatment of essential tremor have been quantified. Finally, effect of data quality and parcellation pipelines on a volumetric index of connectivity clusters has been assessed. We found that the pipeline characterized by higher-order signal modeling and threshold-based voxel classification criteria was the most reliable in terms of inter-subject variability regardless data quality. The maps putatively corresponding to Vim were those derived by precentral and dentate nucleus-thalamic connectivity. However, tractography-derived functional targets showed remarkable differences in shape and sizes when compared to a ground truth model based on histochemical staining on seriate sections of human brain. Thalamic voxels connected to contralateral dentate nucleus resulted to be the closest to literature-derived stimulation points for essential tremor but at the same time showing the most remarkable inter-subject variability. Finally, the volume of connectivity parcels resulted to be significantly influenced by data quality and parcellation pipelines. Hence, caution is warranted when performing thalamic connectivity-based segmentation for stereotactic targeting.
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Affiliation(s)
- Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | - Adriana Tisano
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Giuseppe Pio Anastasi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
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14
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Au KLK, Wong JK, Tsuboi T, Eisinger RS, Moore K, Lemos Melo Lobo Jofili Lopes J, Holland MT, Holanda VM, Peng-Chen Z, Patterson A, Foote KD, Ramirez-Zamora A, Okun MS, Almeida L. Globus Pallidus Internus (GPi) Deep Brain Stimulation for Parkinson's Disease: Expert Review and Commentary. Neurol Ther 2021; 10:7-30. [PMID: 33140286 PMCID: PMC8140010 DOI: 10.1007/s40120-020-00220-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 10/08/2020] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION The globus pallidus internus (GPi) region has evolved as a potential target for deep brain stimulation (DBS) in Parkinson's disease (PD). DBS of the GPi (GPi DBS) is an established, safe and effective method for addressing many of the motor symptoms associated with advanced PD. It is important that clinicians fully understand this target when considering GPi DBS for individual patients. METHODS The literature on GPi DBS in PD has been comprehensively reviewed, including the anatomy, physiology and potential pitfalls that may be encountered during surgical targeting and post-operative management. Here, we review and address the implications of lead location on GPi DBS outcomes. Additionally, we provide a summary of randomized controlled clinical trials conducted on DBS in PD, together with expert commentary on potential applications of the GPi as target. Finally, we highlight future technologies that will likely impact GPi DBS, including closed-loop adaptive approaches (e.g. sensing-stimulating capabilities), advanced methods for image-based targeting and advances in DBS programming, including directional leads and pulse shaping. RESULTS There are important disease characteristics and factors to consider prior to selecting the GPi as the DBS target of PD surgery. Prior to and during implantation of the leads it is critical to consider the neuroanatomy, which can be defined through the combination of image-based targeting and intraoperative microelectrode recording strategies. There is an increasing body of literature on GPi DBS in patients with PD suggesting both short- and long-term benefits. Understanding the GPi target can be useful in choosing between the subthalamic (STN), GPi and ventralis intermedius nucleus as lead locations to address the motor symptoms and complications of PD. CONCLUSION GPi DBS can be effectively used in select cases of PD. As the ongoing DBS target debate continues (GPi vs. STN as DBS target), clinicians should keep in mind that GPi DBS has been shown to be an effective treatment strategy for a variety of symptoms, including bradykinesia, rigidity and tremor control. GPi DBS also has an important, direct anti-dyskinetic effect. GPi DBS is easier to program in the outpatient setting and will allow for more flexibility in medication adjustments (e.g. levodopa). Emerging technologies, including GPi closed-loop systems, advanced tractography-based targeting and enhanced programming strategies, will likely be future areas of GPi DBS expansion. We conclude that although the GPi as DBS target may not be appropriate for all PD patients, it has specific clinical advantages.
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Affiliation(s)
- Ka Loong Kelvin Au
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
| | - Joshua K Wong
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Takashi Tsuboi
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Robert S Eisinger
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Kathryn Moore
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | | | - Marshall T Holland
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- Department of Neurosurgery, University of Iowa, Iowa City, IA, USA
| | - Vanessa M Holanda
- Center of Neurology and Neurosurgery Associates (CENNA), Hospital Beneficência Portuguesa de São Paulo, São Paulo, Brazil
- Department of Neurosurgery, Mayo Clinic Jackonsville, Jacksonville, FL, USA
| | - Zhongxing Peng-Chen
- Facultad de Medicina Clínica Alemana, Hospital Padre Hurtado-Universidad del Desarrollo, Santiago, Chile
| | - Addie Patterson
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Kelly D Foote
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Adolfo Ramirez-Zamora
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Michael S Okun
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Leonardo Almeida
- Departments of Neurology and Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
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15
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Measuring Subthalamic Nucleus Volume of Parkinson's Patients and Evaluating Its Relationship with Clinical Scales at Pre- and Postdeep Brain Stimulation Treatment: A Magnetic Resonance Imaging Study. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6646416. [PMID: 33708991 PMCID: PMC7932794 DOI: 10.1155/2021/6646416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/09/2021] [Accepted: 02/19/2021] [Indexed: 11/17/2022]
Abstract
This study investigated potential imaging biomarkers for predicting the efficacy of deep brain stimulation (DBS) of the subthalamic nucleus (STN) in patients with Parkinson's disease (PD). A total of 59 PD patients and 50 healthy control subjects underwent high-resolution 3-dimensional T1-weighted brain magnetic resonance imaging. Bilateral STN volumes were compared between the 2 groups, and a correlation analysis was performed to assess the relationship between bilateral STN volumes or intracranial volume (ICV) and pre- or postoperative clinical scale scores. The results showed that the left STN volume differed significantly between PD patients and controls. In patients, the left STN volume was negatively correlated with pre- and postoperative quality of life scores and positively correlated with Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment scores; ICV was also positively correlated with the MMSE score. These findings indicate that changes in the left STN volume are a useful biomarker for evaluating the clinical outcome of PD patients following DBS.
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16
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Horn A, Fox MD. Opportunities of connectomic neuromodulation. Neuroimage 2020; 221:117180. [PMID: 32702488 PMCID: PMC7847552 DOI: 10.1016/j.neuroimage.2020.117180] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 06/12/2020] [Accepted: 07/16/2020] [Indexed: 12/14/2022] Open
Abstract
The process of altering neural activity - neuromodulation - has long been used to treat patients with brain disorders and answer scientific questions. Deep brain stimulation in particular has provided clinical benefit to over 150,000 patients. However, our understanding of how neuromodulation impacts the brain is evolving. Instead of focusing on the local impact at the stimulation site itself, we are considering the remote impact on brain regions connected to the stimulation site. Brain connectivity information derived from advanced magnetic resonance imaging data can be used to identify these connections and better understand clinical and behavioral effects of neuromodulation. In this article, we review studies combining neuromodulation and brain connectomics, highlighting opportunities where this approach may prove particularly valuable. We focus on deep brain stimulation, but show that the same principles can be applied to other forms of neuromodulation, such as transcranial magnetic stimulation and MRI-guided focused ultrasound. We outline future perspectives and provide testable hypotheses for future work.
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Affiliation(s)
- Andreas Horn
- Neurology Department, Movement Disorders and Neuromodulation Sectio Charité - University Medicine Berlin,, Charitéplatz 1, D-10117 Berlin, Germany.
| | - Michael D Fox
- Berenson-Allen Center for Non-invasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, United States; Martinos Center for Biomedical Imaging, Departments of Neurology and Radiology, Harvard Medical School and Massachusetts General Hospital, United States; Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Harvard Medical School and Brigham and Women's Hospital, United States.
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17
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Dafsari HS, Dos Santos Ghilardi MG, Visser-Vandewalle V, Rizos A, Ashkan K, Silverdale M, Evans J, Martinez RCR, Cury RG, Jost ST, Barbe MT, Fink GR, Antonini A, Ray-Chaudhuri K, Martinez-Martin P, Fonoff ET, Timmermann L. Beneficial nonmotor effects of subthalamic and pallidal neurostimulation in Parkinson's disease. Brain Stimul 2020; 13:1697-1705. [PMID: 33038595 DOI: 10.1016/j.brs.2020.09.019] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 08/07/2020] [Accepted: 09/25/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Subthalamic (STN) and pallidal (GPi) deep brain stimulation (DBS) improve quality of life, motor, and nonmotor symptoms (NMS) in advanced Parkinson's disease (PD). However, few studies have compared their nonmotor effects. OBJECTIVE To compare nonmotor effects of STN-DBS and GPi-DBS. METHODS In this prospective, observational, multicenter study including 60 PD patients undergoing bilateral STN-DBS (n = 40) or GPi-DBS (n = 20), we examined PDQuestionnaire (PDQ), NMSScale (NMSS), Unified PD Rating Scale-activities of daily living, -motor impairment, -complications (UPDRS-II, -III, -IV), Hoehn&Yahr, Schwab&England Scale, and levodopa-equivalent daily dose (LEDD) preoperatively and at 6-month follow-up. Intra-group changes at follow-up were analyzed with Wilcoxon signed-rank or paired t-test, if parametric tests were applicable, and corrected for multiple comparisons. Inter-group differences were explored with Mann-Whitney-U/unpaired t-tests. Analyses were performed before and after propensity score matching which balanced out demographic and preoperative clinical characteristics. Strength of clinical changes was assessed with effect size. RESULTS In both groups, PDQ, UPDRS-II, -IV, Schwab&England Scale, and NMSS improved significantly at follow-up. STN-DBS was significantly better for LEDD reduction, GPi-DBS for UPDRS-IV. While NMSS total score outcomes were similar, explorative NMSS domain analyses revealed distinct profiles: Both targets improved sleep/fatigue and mood/cognition, but only STN-DBS the miscellaneous (pain/olfaction) and attention/memory and only GPi-DBS cardiovascular and sexual function domains. CONCLUSIONS To our knowledge, this is the first study to report distinct patterns of beneficial nonmotor effects of STN-DBS and GPi-DBS in PD. This study highlights the importance of NMS assessments to tailor DBS target choices to patients' individual motor and nonmotor profiles.
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Affiliation(s)
- Haidar S Dafsari
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany; National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom.
| | - Maria Gabriela Dos Santos Ghilardi
- Division of Functional Neurosurgery of Institute of Psychiatry, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | - Veerle Visser-Vandewalle
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Stereotaxy and Functional Neurosurgery, Cologne, Germany
| | - Alexandra Rizos
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
| | - Keyoumars Ashkan
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
| | - Monty Silverdale
- Department of Neurology and Neurosurgery, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, University of Manchester, Greater Manchester, United Kingdom
| | - Julian Evans
- Department of Neurology and Neurosurgery, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, University of Manchester, Greater Manchester, United Kingdom
| | - Raquel C R Martinez
- Division of Functional Neurosurgery of Institute of Psychiatry, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil; Laboratory of Neuromodulation, Institute of Teaching and Research, Hospital Sirio-Libanês, São Paulo, Brazil
| | - Rubens G Cury
- Division of Functional Neurosurgery of Institute of Psychiatry, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | - Stefanie T Jost
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
| | - Michael T Barbe
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
| | - Gereon R Fink
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, IRCCS Hospital San Camillo, Venice, Italy; Department of Neuroscience, University of Padua, Padua, Italy
| | - K Ray-Chaudhuri
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Pablo Martinez-Martin
- National Center of Epidemiology and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Erich Talamoni Fonoff
- Division of Functional Neurosurgery of Institute of Psychiatry, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil; Laboratory of Neuromodulation, Institute of Teaching and Research, Hospital Sirio-Libanês, São Paulo, Brazil
| | - Lars Timmermann
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany; Department of Neurology, University Hospital Giessen and Marburg, Campus Marburg, Germany
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18
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Tsuboi T, Charbel M, Peterside DT, Rana M, Elkouzi A, Deeb W, Ramirez‐Zamora A, Lemos Melo Lobo Jofili Lopes J, Almeida L, Zeilman PR, Eisinger RS, Foote KD, Okromelidze L, Grewal SS, Okun MS, Middlebrooks EH. Pallidal Connectivity Profiling of Stimulation‐Induced Dyskinesia in Parkinson's Disease. Mov Disord 2020; 36:380-388. [DOI: 10.1002/mds.28324] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 09/04/2020] [Accepted: 09/15/2020] [Indexed: 11/10/2022] Open
Affiliation(s)
- Takashi Tsuboi
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
| | - Marc Charbel
- J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida Gainesville Florida USA
| | - David T. Peterside
- Department of Biological Engineering University of Florida Gainesville Florida USA
| | - Mohit Rana
- Institute of Medical Psychology and Behavioural Neurobiology University of Tübingen Tübingen Germany
| | - Ahmad Elkouzi
- Department of Neurology Southern Illinois University School of Medicine Springfield Illinois USA
| | - Wissam Deeb
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | - Adolfo Ramirez‐Zamora
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | | | - Leonardo Almeida
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | - Pamela R. Zeilman
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | - Robert S. Eisinger
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | - Kelly D. Foote
- Department of Neurosurgery Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | | | | | - Michael S. Okun
- Department of Neurology Norman Fixel Institute for Neurological Diseases, University of Florida Gainesville Florida USA
| | - Erik H. Middlebrooks
- Department of Radiology Mayo Clinic Jacksonville Florida USA
- Department of Neurosurgery Mayo Clinic Jacksonville Florida USA
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19
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Bertino S, Basile GA, Anastasi G, Bramanti A, Fonti B, Cavallaro F, Bruschetta D, Milardi D, Cacciola A. Anatomical Characterization of the Human Structural Connectivity between the Pedunculopontine Nucleus and Globus Pallidus via Multi-Shell Multi-Tissue Tractography. ACTA ACUST UNITED AC 2020; 56:medicina56090452. [PMID: 32906651 PMCID: PMC7557768 DOI: 10.3390/medicina56090452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/22/2020] [Accepted: 08/28/2020] [Indexed: 12/14/2022]
Abstract
Background and objectives: The internal (GPi) and external segments (GPe) of the globus pallidus represent key nodes in the basal ganglia system. Connections to and from pallidal segments are topographically organized, delineating limbic, associative and sensorimotor territories. The topography of pallidal afferent and efferent connections with brainstem structures has been poorly investigated. In this study we sought to characterize in-vivo connections between the globus pallidus and the pedunculopontine nucleus (PPN) via diffusion tractography. Materials and Methods: We employed structural and diffusion data of 100 subjects from the Human Connectome Project repository in order to reconstruct the connections between the PPN and the globus pallidus, employing higher order tractography techniques. We assessed streamline count of the reconstructed bundles and investigated spatial relations between pallidal voxels connected to the PPN and pallidal limbic, associative and sensorimotor functional territories. Results: We successfully reconstructed pallidotegmental tracts for the GPi and GPe in all subjects. The number of streamlines connecting the PPN with the GPi was greater than the number of those joining it with the GPe. PPN maps within pallidal segments exhibited a distinctive spatial organization, being localized in the ventromedial portion of the GPi and in the ventral-anterior portion in the GPe. Regarding their spatial relations with tractography-derived maps of pallidal functional territories, the highest value of percentage overlap was noticed between PPN maps and the associative territory. Conclusions: We successfully reconstructed the anatomical course of the pallidotegmental pathways and comprehensively characterized their topographical arrangement within both pallidal segments. PPM maps were localized in the ventromedial aspect of the GPi, while they occupied the anterior pole and the most ventral portion of the GPe. A better understanding of the spatial and topographical arrangement of the pallidotegmental pathways may have pathophysiological and therapeutic implications in movement disorders.
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Affiliation(s)
- Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy; (G.A.B.); (G.A.); (D.M.)
- Correspondence: (S.B.); (A.C.); Tel.: +39-090-2217143 (S.B. & A.C.)
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy; (G.A.B.); (G.A.); (D.M.)
| | - Giuseppe Anastasi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy; (G.A.B.); (G.A.); (D.M.)
| | - Alessia Bramanti
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (A.B.); (B.F.)
| | - Bartolo Fonti
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (A.B.); (B.F.)
| | - Filippo Cavallaro
- Physical Rehabilitation Medicine and Sport Medicine Unit, University Hospital Policlinico “G. Martino”, 98124 Messina, Italy; (F.C.); (D.B.)
| | - Daniele Bruschetta
- Physical Rehabilitation Medicine and Sport Medicine Unit, University Hospital Policlinico “G. Martino”, 98124 Messina, Italy; (F.C.); (D.B.)
| | - Demetrio Milardi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy; (G.A.B.); (G.A.); (D.M.)
- Physical Rehabilitation Medicine and Sport Medicine Unit, University Hospital Policlinico “G. Martino”, 98124 Messina, Italy; (F.C.); (D.B.)
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125 Messina, Italy; (G.A.B.); (G.A.); (D.M.)
- Correspondence: (S.B.); (A.C.); Tel.: +39-090-2217143 (S.B. & A.C.)
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Middlebrooks EH, Domingo RA, Vivas-Buitrago T, Okromelidze L, Tsuboi T, Wong JK, Eisinger RS, Almeida L, Burns MR, Horn A, Uitti RJ, Wharen RE, Holanda VM, Grewal SS. Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics. AJNR Am J Neuroradiol 2020; 41:1558-1568. [PMID: 32816768 DOI: 10.3174/ajnr.a6693] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/03/2020] [Indexed: 12/18/2022]
Abstract
Deep brain stimulation is an established therapy for multiple brain disorders, with rapidly expanding potential indications. Neuroimaging has advanced the field of deep brain stimulation through improvements in delineation of anatomy, and, more recently, application of brain connectomics. Older lesion-derived, localizationist theories of these conditions have evolved to newer, network-based "circuitopathies," aided by the ability to directly assess these brain circuits in vivo through the use of advanced neuroimaging techniques, such as diffusion tractography and fMRI. In this review, we use a combination of ultra-high-field MR imaging and diffusion tractography to highlight relevant anatomy for the currently approved indications for deep brain stimulation in the United States: essential tremor, Parkinson disease, drug-resistant epilepsy, dystonia, and obsessive-compulsive disorder. We also review the literature regarding the use of fMRI and diffusion tractography in understanding the role of deep brain stimulation in these disorders, as well as their potential use in both surgical targeting and device programming.
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Affiliation(s)
- E H Middlebrooks
- From the Departments of Radiology (E.H.M., L.O.) .,Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | - R A Domingo
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | | | | | - T Tsuboi
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida.,Department of Neurology (T.T., J.K.W., R.S.E., L.A., M.R.B.), Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida
| | - J K Wong
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - R S Eisinger
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - L Almeida
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - M R Burns
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - A Horn
- Department of Neurology (T.T.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - R J Uitti
- Department for Neurology (A.H.), Charité, University Medicine Berlin, Berlin, Germany
| | - R E Wharen
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | - V M Holanda
- Center of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
| | - S S Grewal
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
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21
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Bertino S, Basile GA, Bramanti A, Anastasi GP, Quartarone A, Milardi D, Cacciola A. Spatially coherent and topographically organized pathways of the human globus pallidus. Hum Brain Mapp 2020; 41:4641-4661. [PMID: 32757349 PMCID: PMC7555102 DOI: 10.1002/hbm.25147] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/29/2020] [Accepted: 07/12/2020] [Indexed: 12/18/2022] Open
Abstract
Internal and external segments of globus pallidus (GP) exert different functions in basal ganglia circuitry, despite their main connectional systems share the same topographical organization, delineating limbic, associative, and sensorimotor territories. The identification of internal GP sensorimotor territory has therapeutic implications in functional neurosurgery settings. This study is aimed at assessing the spatial coherence of striatopallidal, subthalamopallidal, and pallidothalamic pathways by using tractography‐derived connectivity‐based parcellation (CBP) on high quality diffusion MRI data of 100 unrelated healthy subjects from the Human Connectome Project. A two‐stage hypothesis‐driven CBP approach has been carried out on the internal and external GP. Dice coefficient between functionally homologous pairs of pallidal maps has been computed. In addition, reproducibility of parcellation according to different pathways of interest has been investigated, as well as spatial relations between connectivity maps and existing optimal stimulation points for dystonic patients. The spatial organization of connectivity clusters revealed anterior limbic, intermediate associative and posterior sensorimotor maps within both internal and external GP. Dice coefficients showed high degree of coherence between functionally similar maps derived from the different bundles of interest. Sensorimotor maps derived from the subthalamopallidal pathway resulted to be the nearest to known optimal pallidal stimulation sites for dystonic patients. Our findings suggest that functionally homologous afferent and efferent connections may share similar spatial territory within the GP and that subcortical pallidal connectional systems may have distinct implications in the treatment of movement disorders.
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Affiliation(s)
- Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | - Giuseppe Pio Anastasi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Angelo Quartarone
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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22
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Xiao Y, Lau JC, Hemachandra D, Gilmore G, Khan AR, Peters TM. Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review. IEEE Trans Biomed Eng 2020; 68:1024-1033. [PMID: 32746050 DOI: 10.1109/tbme.2020.3006765] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Deep brain stimulation (DBS) is an effective therapy as an alternative to pharmaceutical treatments for Parkinson's disease (PD). Aside from factors such as instrumentation, treatment plans, and surgical protocols, the success of the procedure depends heavily on the accurate placement of the electrode within the optimal therapeutic targets while avoiding vital structures that can cause surgical complications and adverse neurologic effects. Although specific surgical techniques for DBS can vary, interventional guidance with medical imaging has greatly contributed to the development, outcomes, and safety of the procedure. With rapid development in novel imaging techniques, computational methods, and surgical navigation software, as well as growing insights into the disease and mechanism of action of DBS, modern image guidance is expected to further enhance the capacity and efficacy of the procedure in treating PD. This article surveys the state-of-the-art techniques in image-guided DBS surgery to treat PD, and discusses their benefits and drawbacks, as well as future directions on the topic.
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23
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Quartarone A, Cacciola A, Milardi D, Ghilardi MF, Calamuneri A, Chillemi G, Anastasi G, Rothwell J. New insights into cortico-basal-cerebellar connectome: clinical and physiological considerations. Brain 2020; 143:396-406. [PMID: 31628799 DOI: 10.1093/brain/awz310] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 08/06/2019] [Accepted: 08/12/2019] [Indexed: 12/15/2022] Open
Abstract
The current model of the basal ganglia system based on the 'direct', 'indirect' and 'hyperdirect' pathways provides striking predictions about basal ganglia function that have been used to develop deep brain stimulation approaches for Parkinson's disease and dystonia. The aim of this review is to challenge this scheme in light of new tract tracing information that has recently become available from the human brain using MRI-based tractography, thus providing a novel perspective on the basal ganglia system. We also explore the implications of additional direct pathways running from cortex to basal ganglia and between basal ganglia and cerebellum in the pathophysiology of movement disorders.
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Affiliation(s)
- Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi 'Bonino Pulejo', Messina, Italy
| | | | | | | | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - John Rothwell
- Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, UK
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24
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Abstract
PURPOSE OF REVIEW Deep brain stimulation (DBS) is an established but growing treatment option for multiple brain disorders. Over the last decade, electrode placement and their effects were increasingly analyzed with modern-day neuroimaging methods like spatial normalization, fibertracking, or resting-state functional MRI. Similarly, specialized basal ganglia MRI sequences were introduced and imaging at high field strengths has become increasingly popular. RECENT FINDINGS To facilitate the process of precise electrode localizations, specialized software pipelines were introduced. By those means, DBS targets could recently be refined and significant relationships between electrode placement and clinical improvement could be shown. Furthermore, by combining electrode reconstructions with network imaging methods, relationships between electrode connectivity and clinical improvement were investigated. This led to a broad series of imaging-based insights about DBS that are reviewed in the present work. SUMMARY The reviewed literature makes a strong case that brain imaging plays an increasingly important role in DBS targeting and programming. Furthermore, brain imaging will likely help to better understand the mechanism of action of DBS.
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25
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Wong JK, Middlebrooks EH, Grewal SS, Almeida L, Hess CW, Okun MS. A Comprehensive Review of Brain Connectomics and Imaging to Improve Deep Brain Stimulation Outcomes. Mov Disord 2020; 35:741-751. [PMID: 32281147 DOI: 10.1002/mds.28045] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 03/01/2020] [Accepted: 03/16/2020] [Indexed: 12/31/2022] Open
Abstract
DBS is an effective neuromodulatory therapy that has been applied in various conditions, including PD, essential tremor, dystonia, Tourette syndrome, and other movement disorders. There have also been recent examples of applications in epilepsy, chronic pain, and neuropsychiatric conditions. Innovations in neuroimaging technology have been driving connectomics, an emerging whole-brain network approach to neuroscience. Two rising techniques are functional connectivity profiling and structural connectivity profiling. Functional connectivity profiling explores the operational relationships between multiple regions of the brain with respect to time and stimuli. Structural connectivity profiling approximates physical connections between different brain regions through reconstruction of axonal fibers. Through these techniques, complex relationships can be described in various disease states, such as PD, as well as in response to therapy, such as DBS. These advances have expanded our understanding of human brain function and have provided a partial in vivo glimpse into the underlying brain circuits underpinning movement and other disorders. This comprehensive review will highlight the contemporary concepts in brain connectivity as applied to DBS, as well as introduce emerging considerations in movement disorders. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Joshua K Wong
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
| | | | - Sanjeet S Grewal
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Leonardo Almeida
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
| | - Christopher W Hess
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
| | - Michael S Okun
- Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
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26
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Okromelidze L, Tsuboi T, Eisinger RS, Burns MR, Charbel M, Rana M, Grewal SS, Lu CQ, Almeida L, Foote KD, Okun MS, Middlebrooks EH. Functional and Structural Connectivity Patterns Associated with Clinical Outcomes in Deep Brain Stimulation of the Globus Pallidus Internus for Generalized Dystonia. AJNR Am J Neuroradiol 2020; 41:508-514. [PMID: 32054614 DOI: 10.3174/ajnr.a6429] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/07/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Deep brain stimulation is a well-established treatment for generalized dystonia, but outcomes remain variable. Establishment of an imaging marker to guide device targeting and programming could possibly impact the efficacy of deep brain stimulation in dystonia, particularly in the absence of acute clinical markers to indicate benefit. We hypothesize that the stimulation-based functional and structural connectivity using resting-state fMRI and DTI can predict therapeutic outcomes in patients with generalized dystonia and deep brain stimulation. MATERIALS AND METHODS We performed a retrospective analysis of 39 patients with inherited or idiopathic-isolated generalized dystonia who underwent bilateral globus pallidus internus deep brain stimulation. After electrode localization, the volumes of tissue activated were modeled and used as seed regions for functional and structural connectivity measures using a normative data base. Resulting connectivity maps were correlated with postoperative improvement in the Unified Dystonia Rating Scale score. RESULTS Structural connectivity between the volumes of tissue activated and the primary sensorimotor cortex was correlated with Unified Dystonia Rating Scale improvement, while more anterior prefrontal connectivity was inversely correlated with Unified Dystonia Rating Scale improvement. Functional connectivity between the volumes of tissue activated and primary sensorimotor regions, motor thalamus, and cerebellum was most correlated with Unified Dystonia Rating Scale improvement; however, an inverse correlation with Unified Dystonia Rating Scale improvement was seen in the supplemental motor area and premotor cortex. CONCLUSIONS Functional and structural connectivity with multiple nodes of the motor network is associated with motor improvement in patients with generalized dystonia undergoing deep brain stimulation. Results from this study may serve as a basis for future development of clinical markers to guide deep brain stimulation targeting and programming in dystonia.
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Affiliation(s)
- L Okromelidze
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida
| | - T Tsuboi
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - R S Eisinger
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - M R Burns
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - M Charbel
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - M Rana
- Institute of Medical Psychology and Behavioural Neurobiology (M.R.), University of Tübingen, Tübingen, Germany
| | - S S Grewal
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - C-Q Lu
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida
| | - L Almeida
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - K D Foote
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - M S Okun
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - E H Middlebrooks
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida .,Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
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27
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Milardi D, Quartarone A, Bramanti A, Anastasi G, Bertino S, Basile GA, Buonasera P, Pilone G, Celeste G, Rizzo G, Bruschetta D, Cacciola A. The Cortico-Basal Ganglia-Cerebellar Network: Past, Present and Future Perspectives. Front Syst Neurosci 2019; 13:61. [PMID: 31736719 PMCID: PMC6831548 DOI: 10.3389/fnsys.2019.00061] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 10/08/2019] [Indexed: 12/31/2022] Open
Abstract
Much of our present understanding of the function and operation of the basal ganglia rests on models of anatomical connectivity derived from tract-tracing approaches in rodents and primates. However, the last years have been characterized by promising step forwards in the in vivo investigation and comprehension of brain connectivity in humans. The aim of this review is to revise the current knowledge on basal ganglia circuits, highlighting similarities and differences across species, in order to widen the current perspective on the intricate model of the basal ganglia system. This will allow us to explore the implications of additional direct pathways running from cortex to basal ganglia and between basal ganglia and cerebellum recently described in animals and humans.
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Affiliation(s)
- Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Salvatore Bertino
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | - Giuseppe Celeste
- I.S.A.S.I.E. Caianello, National Research Council, Messina, Italy
| | - Giuseppina Rizzo
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Daniele Bruschetta
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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28
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Duffley G, Anderson DN, Vorwerk J, Dorval AD, Butson CR. Evaluation of methodologies for computing the deep brain stimulation volume of tissue activated. J Neural Eng 2019; 16:066024. [PMID: 31426036 PMCID: PMC7187771 DOI: 10.1088/1741-2552/ab3c95] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective. Computational models are a popular tool for predicting the effects of deep brain stimulation (DBS) on neural tissue. One commonly used model, the volume of tissue activated (VTA), is computed using multiple methodologies. We quantified differences in the VTAs generated by five methodologies: the traditional axon model method, the electric field norm, and three activating function based approaches—the activating function at each grid point in the tangential direction (AF-Tan) or in the maximally activating direction (AF-3D), and the maximum activating function along the entire length of a tangential fiber (AF-Max). Approach. We computed the VTA using each method across multiple stimulation settings. The resulting volumes were compared for similarity, and the methodologies were analyzed for their differences in behavior. Main results. Activation threshold values for both the electric field norm and the activating function varied with regards to electrode configuration, pulse width, and frequency. All methods produced highly similar volumes for monopolar stimulation. For bipolar electrode configurations, only the maximum activating function along the tangential axon method, AF-Max, produced similar volumes to those produced by the axon model method. Further analysis revealed that both of these methods are biased by their exclusive use of tangential fiber orientations. In contrast, the activating function in the maximally activating direction method, AF-3D, produces a VTA that is free of axon orientation and projection bias. Significance. Simulating tangentially oriented axons, the standard approach of computing the VTA, is too computationally expensive for widespread implementation and yields results biased by the assumption of tangential fiber orientation. In this work, we show that a computationally efficient method based on the activating function, AF-Max, reliably reproduces the VTAs generated by direct axon modeling. Further, we propose another method, AF-3D as a potentially superior model for representing generic neural tissue activation.
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Affiliation(s)
- Gordon Duffley
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States of America. Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, United States of America
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29
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Elkouzi A, Tsuboi T, Burns MR, Eisinger RS, Patel A, Deeb W. Dorsal GPi/GPe Stimulation Induced Dyskinesia in a Patient with Parkinson's Disease. TREMOR AND OTHER HYPERKINETIC MOVEMENTS (NEW YORK, N.Y.) 2019; 9:tre-09-685. [PMID: 31565536 PMCID: PMC6744811 DOI: 10.7916/tohm.v0.685] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 08/05/2019] [Indexed: 01/16/2023]
Abstract
Clinical vignette A 68-year-old man with Parkinson’s disease (PD) had bilateral GPi DBS placed for management of his motor fluctuations. He developed stimulation-induced dyskinesia (SID) with left dorsal GPi stimulation. Clinical dilemma What do we know about SID in PD patients with GPi DBS? What are the potential strategies used to maximize the DBS therapeutic benefit and minimize the side effects of stimulation? Clinical solution Avoiding the contact implicated in SID and programming more ventral contacts, using lower voltage, frequency and pulse width and programming in bipolar configuration all appear to help minimize the SID and provide appropriate symptomatic motor control. Gap in knowledge Little is known about SID in patients with PD who had GPi DBS therapy. More studies using volume of tissue activated and diffusion tensor imaging MRI are needed to localize specific tracts in or around the GPi that may be implicated in SID.
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Affiliation(s)
- Ahmad Elkouzi
- Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | - Takashi Tsuboi
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | - Matthew R Burns
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | | | - Amar Patel
- Department of Neurology, Yale school of Medicine, Yale University, New Haven, CT, USA
| | - Wissam Deeb
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
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30
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Cacciola A, Milardi D, Bertino S, Basile GA, Calamuneri A, Chillemi G, Rizzo G, Anastasi G, Quartarone A. Structural connectivity-based topography of the human globus pallidus: Implications for therapeutic targeting in movement disorders. Mov Disord 2019; 34:987-996. [PMID: 31077436 DOI: 10.1002/mds.27712] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/31/2019] [Accepted: 04/04/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Understanding the topographical organization of the cortico-basal ganglia circuitry is of pivotal importance because of the spreading of techniques such as DBS and, more recently, MR-guided focused ultrasound for the treatment of movement disorders. A growing body of evidence has described both direct cortico- and dento-pallidal connections, although the topographical organization in vivo of these pathways in the human brain has never been reported. OBJECTIVE To investigate the topographical organization of cortico- and dento-pallidal pathways by means of diffusion MRI tractography and connectivity based parcellation. METHODS High-quality data from 100 healthy subjects from the Human Connectome Project repository were utilized. Constrained spherical deconvolution-based tractography was used to reconstruct structural cortico- and dento-pallidal connectivity. Connectivity-based parcellation was performed with a hypothesis-driven approach at three different levels: functional regions (limbic, associative, sensorimotor, and other), lobes, and gyral subareas. RESULTS External globus pallidus segregated into a ventral associative cluster, a dorsal sensorimotor cluster, and a caudal "other" cluster on the base of its cortical connectivity. Dento-pallidal connections clustered only in the internal globus pallidus, where also associative and sensorimotor clusters were identified. Lobar parcellation revealed the presence in the external globus pallidus of dissociable clusters for each cortical lobe (frontal, parietal, temporal, and occipital), whereas in internal globus pallidus only frontal and parietal clusters were found out. CONCLUSION We mapped the topographical organization of both internal and external globus pallidus according to cortical and cerebellar connections. These anatomical data could be useful in DBS, radiosurgery and MR-guided focused ultrasound targeting for treating motor and nonmotor symptoms in movement disorders. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Salvatore Bertino
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | - Giuseppina Rizzo
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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31
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A retrospective evaluation of thalamic targeting for tremor deep brain stimulation using high-resolution anatomical imaging with supplementary fiber tractography. J Neurol Sci 2019; 398:148-156. [PMID: 30716581 DOI: 10.1016/j.jns.2019.01.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 12/22/2018] [Accepted: 01/15/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Deep brain stimulation (DBS) of the ventral intermediate (Vim) thalamic nucleus is used to treat tremors. Here, we identified the Vim nucleus on fast gray matter acquisition T1 inversion recovery (FGATIR) images and delineated the dentate-rubrothalamic tract (DRT) to determine the DBS target. We evaluated whether this method could consistently identify the Vim nucleus by anatomical imaging and fiber tractography. METHODS We retrospectively reviewed clinical data of patients who underwent unilateral thalamic DBS for severe tremor disorders. We evaluated outcomes at baseline, 6 months and 1 year following intervention, and annually thereafter. We reviewed preoperative planning to determine whether our tractography technique could consistently depict the DRT, and evaluated implanted electrode position by fusing postoperative CT scans to preoperative MR images. RESULTS Seven patients (three men and four women) were included; preoperative diagnoses included essential tremor (n = 3), Parkinson's (n = 2), and Holmes tremor (n = 2). All patients responded to DBS therapy; motor scores improved at 6-month and last follow-up. The Vim nucleus was successfully identified, as the DRT was depicted in all cases. Of ten active DBS contacts in seven leads, four contacts were located outside of the depicted DRT, and these contacts tended to require higher stimulation intensity. CONCLUSIONS The Vim nucleus was successfully identified with FGATIR. Our methods may be useful to determine optimal DBS trajectory, and potentially improve outcomes.
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Horn A, Li N, Dembek TA, Kappel A, Boulay C, Ewert S, Tietze A, Husch A, Perera T, Neumann WJ, Reisert M, Si H, Oostenveld R, Rorden C, Yeh FC, Fang Q, Herrington TM, Vorwerk J, Kühn AA. Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. Neuroimage 2019; 184:293-316. [PMID: 30179717 PMCID: PMC6286150 DOI: 10.1016/j.neuroimage.2018.08.068] [Citation(s) in RCA: 445] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 08/13/2018] [Accepted: 08/28/2018] [Indexed: 01/09/2023] Open
Abstract
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders and a growing number of other indications are investigated in clinical trials. To ensure optimal treatment outcome, exact electrode placement is required. Moreover, to analyze the relationship between electrode location and clinical results, a precise reconstruction of electrode placement is required, posing specific challenges to the field of neuroimaging. Since 2014 the open source toolbox Lead-DBS is available, which aims at facilitating this process. The tool has since become a popular platform for DBS imaging. With support of a broad community of researchers worldwide, methods have been continuously updated and complemented by new tools for tasks such as multispectral nonlinear registration, structural/functional connectivity analyses, brain shift correction, reconstruction of microelectrode recordings and orientation detection of segmented DBS leads. The rapid development and emergence of these methods in DBS data analysis require us to revisit and revise the pipelines introduced in the original methods publication. Here we demonstrate the updated DBS and connectome pipelines of Lead-DBS using a single patient example with state-of-the-art high-field imaging as well as a retrospective cohort of patients scanned in a typical clinical setting at 1.5T. Imaging data of the 3T example patient is co-registered using five algorithms and nonlinearly warped into template space using ten approaches for comparative purposes. After reconstruction of DBS electrodes (which is possible using three methods and a specific refinement tool), the volume of tissue activated is calculated for two DBS settings using four distinct models and various parameters. Finally, four whole-brain tractography algorithms are applied to the patient's preoperative diffusion MRI data and structural as well as functional connectivity between the stimulation volume and other brain areas are estimated using a total of eight approaches and datasets. In addition, we demonstrate impact of selected preprocessing strategies on the retrospective sample of 51 PD patients. We compare the amount of variance in clinical improvement that can be explained by the computer model depending on the preprocessing method of choice. This work represents a multi-institutional collaborative effort to develop a comprehensive, open source pipeline for DBS imaging and connectomics, which has already empowered several studies, and may facilitate a variety of future studies in the field.
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Affiliation(s)
- Andreas Horn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.
| | - Ningfei Li
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Till A Dembek
- Department of Neurology, University Hospital of Cologne, Germany
| | - Ari Kappel
- Wayne State University, Department of Neurosurgery, Detroit, Michigan, USA
| | | | - Siobhan Ewert
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Anna Tietze
- Institute of Neuroradiology, Charité - University Medicine Berlin, Germany
| | - Andreas Husch
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Interventional Neuroscience Group, Belvaux, Luxembourg
| | - Thushara Perera
- Bionics Institute, East Melbourne, Victoria, Australia; Department of Medical Bionics, University of Melbourne, Parkville, Victoria, Australia
| | - Wolf-Julian Neumann
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany; Institute of Neuroradiology, Charité - University Medicine Berlin, Germany
| | - Marco Reisert
- Medical Physics, Department of Radiology, Faculty of Medicine, University Freiburg, Germany
| | - Hang Si
- Numerical Mathematics and Scientific Computing, Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Germany
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, NL, Netherlands; NatMEG, Karolinska Institutet, Stockholm, SE, Sweden
| | - Christopher Rorden
- McCausland Center for Brain Imaging, University of South Carolina, Columbia, SC, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh PA, USA
| | - Qianqian Fang
- Department of Bioengineering, Northeastern University, Boston, USA
| | - Todd M Herrington
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Johannes Vorwerk
- Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, USA
| | - Andrea A Kühn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
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Middlebrooks EH, Tuna IS, Almeida L, Grewal SS, Wong J, Heckman MG, Lesser ER, Bredel M, Foote KD, Okun MS, Holanda VM. Structural connectivity-based segmentation of the thalamus and prediction of tremor improvement following thalamic deep brain stimulation of the ventral intermediate nucleus. NEUROIMAGE-CLINICAL 2018; 20:1266-1273. [PMID: 30318403 PMCID: PMC6308387 DOI: 10.1016/j.nicl.2018.10.009] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 10/04/2018] [Accepted: 10/08/2018] [Indexed: 11/27/2022]
Abstract
Objectives Traditional targeting methods for thalamic deep brain stimulation (DBS) performed to address tremor have predominantly relied on indirect atlas-based methods that focus on the ventral intermediate nucleus despite known variability in thalamic functional anatomy. Improvements in preoperative targeting may help maximize outcomes and reduce thalamic DBS–related complications. In this study, we evaluated the ability of thalamic parcellation with structural connectivity–based segmentation (SCBS) to predict tremor improvement following thalamic DBS. Methods In this retrospective analysis of 40 patients with essential tremor, hard segmentation of the thalamus was performed by using probabilistic tractography to assess structural connectivity to 7 cortical targets. The volume of tissue activated (VTA) was modeled in each patient on the basis of the DBS settings. The volume of overlap between the VTA and the 7 thalamic segments was determined and correlated with changes in preoperative and postoperative Fahn-Tolosa-Marin Tremor Rating Scale (TRS) scores by using multivariable linear regression models. Results A significant association was observed between greater VTA in the supplementary motor area (SMA) and premotor cortex (PMC) thalamic segment and greater improvement in TRS score when considering both the raw change (P = .001) and percentage change (P = .011). In contrast, no association was observed between change in TRS score and VTA in the primary motor cortex thalamic segment (P ≥ .19). Conclusions Our data suggest that greater VTA in the thalamic SMA/PMC segment during thalamic DBS was associated with significant improvement in TRS score in patients with tremor. These findings support the potential role of thalamic SCBS as an independent predictor of tremor improvement in patients who receive thalamic DBS. Pre-operative connectivity data may improve thalamic DBS targeting for tremor. Tremor control was positively correlated with connectivity-based thalamic segmentation. Stimulation of the SMA/PMC connected thalamic region correlated with tremor control.
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Affiliation(s)
- Erik H Middlebrooks
- Department of Radiology, Mayo Clinic, Jacksonville, FL, USA; Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL, USA.
| | - Ibrahim S Tuna
- Department of Radiology, University of Florida, Gainesville, FL, USA
| | - Leonardo Almeida
- Department of Neurology, University of Florida, Gainesville, FL, USA; Fixel Center for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Sanjeet S Grewal
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL, USA
| | - Joshua Wong
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Michael G Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, USA
| | - Elizabeth R Lesser
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, USA
| | - Markus Bredel
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kelly D Foote
- Fixel Center for Neurological Diseases, University of Florida, Gainesville, FL, USA; Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, University of Florida, Gainesville, FL, USA; Fixel Center for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Vanessa M Holanda
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA; Center of Neurology and Neurosurgery Associates (NeuroCENNA), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
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