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Zhao M, Chen H, Yan X, Li J, Lu C, Cui B, Huo W, Cao S, Guo H, Liu S, Yang C, Liu Y, Yin F. Subthalamic deep brain stimulation for primary dystonia: defining an optimal location using the medial subthalamic nucleus border as anatomical reference. Front Aging Neurosci 2023; 15:1187167. [PMID: 37547744 PMCID: PMC10400903 DOI: 10.3389/fnagi.2023.1187167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 06/27/2023] [Indexed: 08/08/2023] Open
Abstract
Introduction Although the subthalamic nucleus (STN) has proven to be a safe and effective target for deep brain stimulation (DBS) in the treatment of primary dystonia, the rates of individual improvement vary considerably. On the premise of selecting appropriate patients, the location of the stimulation contacts in the dorsolateral sensorimotor area of the STN may be an important factor affecting therapeutic effects, but the optimal location remains unclear. This study aimed to define an optimal location using the medial subthalamic nucleus border as an anatomical reference and to explore the influence of the location of active contacts on outcomes and programming strategies in a series of patients with primary dystonia. Methods Data from 18 patients who underwent bilateral STN-DBS were retrospectively acquired and analyzed. Patients were assessed preoperatively and postoperatively (1 month, 3 months, 6 months, 1 year, 2 years, and last follow-up after neurostimulator initiation) using the Toronto Western Spasmodic Torticollis Rating Scale (for cervical dystonia) and the Burke-Fahn-Marsden Dystonia Rating Scale (for other types). Optimal parameters and active contact locations were determined during clinical follow-up. The position of the active contacts relative to the medial STN border was determined using postoperative stereotactic MRI. Results The clinical improvement showed a significant negative correlation with the y-axis position (anterior-posterior; A+, P-). The more posterior the electrode contacts were positioned in the dorsolateral sensorimotor area of the STN, the better the therapeutic effects. Cluster analysis of the improvement rates delineated optimal and sub-optimal groups. The optimal contact coordinates from the optimal group were 2.56 mm lateral, 0.15 mm anterior, and 1.34 mm superior relative to the medial STN border. Conclusion STN-DBS was effective for primary dystonia, but outcomes were dependent on the active contact location. Bilateral stimulation contacts located behind or adjacent to Bejjani's line were most likely to produce ideal therapeutic effects. These findings may help guide STN-DBS preoperative planning, stimulation programming, and prognosis for optimal therapeutic efficacy in primary dystonia.
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Affiliation(s)
- Mingming Zhao
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Hui Chen
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Xin Yan
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Jianguang Li
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Chao Lu
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Bin Cui
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Wenjun Huo
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Shouming Cao
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Hui Guo
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Shuang Liu
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Chunjuan Yang
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Ying Liu
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
| | - Feng Yin
- Department of Neurosurgery, Aerospace Center Hospital, Beijing, China
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Vázquez-Medina A, Diano G, Papageorgakopoulou MA, Otamendi-Lopez A. Letter to the Editor. Tourette syndrome: tripartite considerations in DBS. J Neurosurg 2022; 137:1198-1199. [PMID: 35523264 DOI: 10.3171/2022.3.jns22600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Adriana Vázquez-Medina
- University of Puerto Rico, Medical Sciences Campus School of Medicine, San Juan, Puerto Rico
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3
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Morishita T, Sakai Y, Iida H, Yoshimura S, Ishii A, Fujioka S, Tanaka SC, Inoue T. Neuroanatomical considerations for optimizing thalamic deep brain stimulation in Tourette syndrome. J Neurosurg 2021; 136:231-241. [PMID: 34359039 DOI: 10.3171/2021.2.jns204026] [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: 11/12/2020] [Accepted: 02/11/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Deep brain stimulation (DBS) of the centromedian thalamic nucleus has been reportedly used to treat severe Tourette syndrome, yielding promising outcomes. However, it remains unclear how DBS electrode position and stimulation parameters modulate the specific area and related networks. The authors aimed to evaluate the relationships between the anatomical location of stimulation fields and clinical responses, including therapeutic and side effects. METHODS The authors collected data from 8 patients with Tourette syndrome who were treated with DBS. The authors selected the active contact following threshold tests of acute side effects and gradually increased the stimulation intensity within the therapeutic window such that acute and chronic side effects could be avoided at each programming session. The patients were carefully interviewed, and stimulation-induced side effects were recorded. Clinical outcomes were evaluated using the Yale Global Tic Severity Scale, the Yale-Brown Obsessive-Compulsive Scale, and the Hamilton Depression Rating Scale. The DBS lead location was evaluated in the normalized brain space by using a 3D atlas. The volume of tissue activated was determined, and the associated normative connective analyses were performed to link the stimulation field with the therapeutic and side effects. RESULTS The mean follow-up period was 10.9 ± 3.9 months. All clinical scales showed significant improvement. Whereas the volume of tissue activated associated with therapeutic effects covers the centromedian and ventrolateral nuclei and showed an association with motor networks, those associated with paresthesia and dizziness were associated with stimulation of the ventralis caudalis and red nucleus, respectively. Depressed mood was associated with the spread of stimulation current to the mediodorsal nucleus and showed an association with limbic networks. CONCLUSIONS This study addresses the importance of accurate implantation of DBS electrodes for obtaining standardized clinical outcomes and suggests that meticulous programming with careful monitoring of clinical symptoms may improve outcomes.
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Affiliation(s)
- Takashi Morishita
- 1Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka
| | - Yuki Sakai
- 2ATR Brain Information Communication Research Laboratory Group, Kyoto.,6Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hitoshi Iida
- 3Department of Psychiatry, Fukuoka University Faculty of Medicine, Fukuoka
| | - Saki Yoshimura
- 1Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka
| | - Atsushi Ishii
- 4Department of Pediatrics, Fukuoka University Faculty of Medicine, Fukuoka
| | - Shinsuke Fujioka
- 5Department of Neurology, Fukuoka University Faculty of Medicine, Fukuoka; and
| | - Saori C Tanaka
- 2ATR Brain Information Communication Research Laboratory Group, Kyoto
| | - Tooru Inoue
- 1Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka
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4
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de Roquemaurel A, Wirth T, Vijiaratnam N, Ferreira F, Zrinzo L, Akram H, Foltynie T, Limousin P. Stimulation Sweet Spot in Subthalamic Deep Brain Stimulation - Myth or Reality? A Critical Review of Literature. Stereotact Funct Neurosurg 2021; 99:425-442. [PMID: 34120117 DOI: 10.1159/000516098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/23/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION While deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been extensively used for more than 20 years in Parkinson's disease (PD), the optimal area of stimulation to relieve motor symptoms remains elusive. OBJECTIVE We aimed at localizing the sweet spot within the subthalamic region by performing a systematic review of the literature. METHOD PubMed database was searched for published studies exploring optimal stimulation location for STN DBS in PD, published between 2000 and 2019. A standardized assessment procedure based on methodological features was applied to select high-quality publications. Studies conducted more than 3 months after the DBS procedure, employing lateralized scores and/or stimulation condition, and reporting the volume of tissue activated or the position of the stimulating contact within the subthalamic region were considered in the final analysis. RESULTS Out of 439 references, 24 were finally retained, including 21 studies based on contact location and 3 studies based on volume of tissue activated (VTA). Most studies (all VTA-based studies and 13 of the 21 contact-based studies) suggest the superior-lateral STN and the adjacent white matter as the optimal sites for stimulation. Remaining contact-based studies were either inconclusive (5/21), favoured the caudal zona incerta (1/21), or suggested a better outcome of STN stimulation than adjacent white matter stimulation (2/21). CONCLUSION Using a standardized methodological approach, our review supports the presence of a sweet spot located within the supero-lateral STN and extending to the adjacent white matter.
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Affiliation(s)
- Alexis de Roquemaurel
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Thomas Wirth
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom.,Neurology department, Strasbourg University Hospital, Strasbourg, France.,INSERM-U964/CNRS-UMR7104/University of Strasbourg, Illkirch-Graffenstaden, France
| | - Nirosen Vijiaratnam
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Francisca Ferreira
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Harith Akram
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Thomas Foltynie
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Patricia Limousin
- Unit of Functional Neurosurgery, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
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Elias GJB, Boutet A, Joel SE, Germann J, Gwun D, Neudorfer C, Gramer RM, Algarni M, Paramanandam V, Prasad S, Beyn ME, Horn A, Madhavan R, Ranjan M, Lozano CS, Kühn AA, Ashe J, Kucharczyk W, Munhoz RP, Giacobbe P, Kennedy SH, Woodside DB, Kalia SK, Fasano A, Hodaie M, Lozano AM. Probabilistic Mapping of Deep Brain Stimulation: Insights from 15 Years of Therapy. Ann Neurol 2020; 89:426-443. [PMID: 33252146 DOI: 10.1002/ana.25975] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 12/19/2022]
Abstract
Deep brain stimulation (DBS) depends on precise delivery of electrical current to target tissues. However, the specific brain structures responsible for best outcome are still debated. We applied probabilistic stimulation mapping to a retrospective, multidisorder DBS dataset assembled over 15 years at our institution (ntotal = 482 patients; nParkinson disease = 303; ndystonia = 64; ntremor = 39; ntreatment-resistant depression/anorexia nervosa = 76) to identify the neuroanatomical substrates of optimal clinical response. Using high-resolution structural magnetic resonance imaging and activation volume modeling, probabilistic stimulation maps (PSMs) that delineated areas of above-mean and below-mean response for each patient cohort were generated and defined in terms of their relationships with surrounding anatomical structures. Our results show that overlap between PSMs and individual patients' activation volumes can serve as a guide to predict clinical outcomes, but that this is not the sole determinant of response. In the future, individualized models that incorporate advancements in mapping techniques with patient-specific clinical variables will likely contribute to the optimization of DBS target selection and improved outcomes for patients. ANN NEUROL 2021;89:426-443.
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Affiliation(s)
- Gavin J B Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | | | - Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Dave Gwun
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Clemens Neudorfer
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Robert M Gramer
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Musleh Algarni
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, University Health Network, Toronto, Ontario, Canada
| | - Vijayashankar Paramanandam
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, University Health Network, Toronto, Ontario, Canada
| | - Sreeram Prasad
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, University Health Network, Toronto, Ontario, Canada
| | - Michelle E Beyn
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité-Universitätsmedizin, Berlin, Germany
| | | | - Manish Ranjan
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Christopher S Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Andrea A Kühn
- Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité-Universitätsmedizin, Berlin, Germany
| | - Jeff Ashe
- GE Global Research, Toronto, Ontario, Canada
| | - Walter Kucharczyk
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Renato P Munhoz
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, University Health Network, Toronto, Ontario, Canada
| | - Peter Giacobbe
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sidney H Kennedy
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Centre for Mental Health, University Health Network, Toronto, Ontario, Canada
| | - D Blake Woodside
- Centre for Mental Health, University Health Network, Toronto, Ontario, Canada
| | - Suneil K Kalia
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Alfonso Fasano
- Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, University Health Network, Toronto, Ontario, Canada
| | - Mojgan Hodaie
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University of Toronto, Toronto, Ontario, Canada
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6
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Malaga KA, Costello JT, Chou KL, Patil PG. Atlas-independent, N-of-1 tissue activation modeling to map optimal regions of subthalamic deep brain stimulation for Parkinson disease. NEUROIMAGE-CLINICAL 2020; 29:102518. [PMID: 33333464 PMCID: PMC7736726 DOI: 10.1016/j.nicl.2020.102518] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 01/13/2023]
Abstract
Neuroanatomical variations among patients are obscured in atlas-based VTA modeling. N-of-1 neuroanatomical and VTA modeling enables patient-level precision. Mean optimal stimulation is dorsomedial to the STN, near its posterior half. Individual VTAs deviate from optimal stimulation sites to varying degrees. Optimal stimulation sites for rigidity, bradykinesia, and tremor partially overlap.
Background Motor outcomes after subthalamic deep brain stimulation (STN DBS) for Parkinson disease (PD) vary considerably among patients and strongly depend on stimulation location. The objective of this retrospective study was to map the regions of optimal STN DBS for PD using an atlas-independent, fully individualized (N-of-1) tissue activation modeling approach and to assess the relationship between patient-level therapeutic volumes of tissue activation (VTAs) and motor improvement. Methods The stimulation-induced electric field for 40 PD patients treated with bilateral STN DBS was modeled using finite element analysis. Neurostimulation models were generated for each patient, incorporating their individual STN anatomy, DBS lead position and orientation, anisotropic tissue conductivity, and clinical stimulation settings. A voxel-based analysis of the VTAs was then used to map the optimal location of stimulation. The amount of stimulation in specific regions relative to the STN was measured and compared between STNs with more and less optimal stimulation, as determined by their motor improvement scores and VTA. The relationship between VTA location and motor outcome was then assessed using correlation analysis. Patient variability in terms of STN anatomy, active contact position, and VTA location were also evaluated. Results from the N-of-1 model were compared to those from a simplified VTA model. Results Tissue activation modeling mapped the optimal location of stimulation to regions medial, posterior, and dorsal to the STN centroid. These regions extended beyond the STN boundary towards the caudal zona incerta (cZI). The location of the VTA and active contact position differed significantly between STNs with more and less optimal stimulation in the dorsal-ventral and anterior-posterior directions. Therapeutic stimulation spread noticeably more in the dorsal and posterior directions, providing additional evidence for cZI as an important DBS target. There were significant linear relationships between the amount of dorsal and posterior stimulation, as measured by the VTA, and motor improvement. These relationships were more robust than those between active contact position and motor improvement. There was high variability in STN anatomy, active contact position, and VTA location among patients. Spherical VTA modeling was unable to reproduce these results and tended to overestimate the size of the VTA. Conclusion Accurate characterization of the spread of stimulation is needed to optimize STN DBS for PD. High variability in neuroanatomy, stimulation location, and motor improvement among patients highlights the need for individualized modeling techniques. The atlas-independent, N-of-1 tissue activation modeling approach presented in this study can be used to develop and evaluate stimulation strategies to improve clinical outcomes on an individual basis.
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Affiliation(s)
- Karlo A Malaga
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Joseph T Costello
- Department of Electrical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Kelvin L Chou
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
| | - Parag G Patil
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
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7
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Hedges DM, Hegman JC, Brown JR, Wilburn JT, Chapman BE, Butson CR. The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis. Front Neuroinform 2020; 14:36. [PMID: 33071769 PMCID: PMC7531015 DOI: 10.3389/fninf.2020.00036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 07/15/2020] [Indexed: 11/13/2022] Open
Abstract
Background Neuromodulation therapies, such as deep brain stimulation (DBS), spinal cord stimulation (SCS), responsive neurostimulation (RNS), transcranial magnetic stimulation (TMS), transcranial direct stimulation (tDCS), and vagus nerve stimulation (VNS) are used to treat neurological and psychiatric conditions for patients who have failed to benefit from other treatment approaches. Although generally effective, seemingly similar cases often have very different levels of effectiveness. While there is ongoing interest in developing predictors, it can be difficult to aggregate the necessary data from limited cohorts of patients at individual treatment centers. Objective In order to increase the predictive power in neuromodulation studies, we created an informatics platform called the International Neuromodulation Registry (INR). The INR platform has a data flow process that will allow researchers to pool data across multiple centers to enable population health research. Methods This custom informatics platform has a Neo4j graph database and includes a harmonization process that allows data from different studies to be aggregated and compared. Users of the INR can download deidentified patient imaging, patient demographic data, device settings, and medical rating scales. The INR supports complex network analysis and patient timeline visualization. Results The INR currently houses and allows visualization of deidentified imaging and clinical data from hundreds of patients with a wide range of diagnoses and neuromodulation therapies. Conclusion Ultimately, we believe that widespread adoption of the INR platform will improve population health research in neuromodulation therapy.
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Affiliation(s)
- David M Hedges
- Scientific Computing and Imaging (SCI) Institute, The University of Utah, Salt Lake City, UT, United States.,Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, United States
| | - John C Hegman
- Scientific Computing and Imaging (SCI) Institute, The University of Utah, Salt Lake City, UT, United States
| | - Jefferson R Brown
- Scientific Computing and Imaging (SCI) Institute, The University of Utah, Salt Lake City, UT, United States
| | - Jack T Wilburn
- Scientific Computing and Imaging (SCI) Institute, The University of Utah, Salt Lake City, UT, United States
| | - Brian E Chapman
- Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, United States.,Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, United States
| | - Christopher R Butson
- Scientific Computing and Imaging (SCI) Institute, The University of Utah, Salt Lake City, UT, United States.,Department of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.,Departments of Neurology, Neurosurgery and Psychiatry, The University of Utah, Salt Lake City, UT, United States
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8
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Dietrich AD, Koeppen JA, Buhmann C, Pötter-Nerger M, Pinnschmidt HO, Oehlwein C, Oehlwein M, Mittmann K, Gerloff C, Engel AK, Westphal M, Schaper M, Hamel W, Moll CKE, Gulberti A. Sex Disparities in the Self-Evaluation of Subthalamic Deep Brain Stimulation Effects on Mood and Personality in Parkinson's Disease Patients. Front Neurol 2020; 11:776. [PMID: 32849228 PMCID: PMC7412792 DOI: 10.3389/fneur.2020.00776] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 06/24/2020] [Indexed: 01/08/2023] Open
Abstract
Changes in personality are one of the main concerns Parkinson's disease (PD) patients raise when facing the decision to undergo neurosurgery for deep brain stimulation (DBS) of the subthalamic nucleus (STN). While clinical instruments for monitoring functional changes following DBS surgery are well-established in the daily therapeutic routine, personality issues are far less systematically encompassed. Moreover, while sex disparities in the outcomes of STN-DBS therapy have been reported, little is known about the different effects that DBS treatment may have on mood and personality traits in female and male patients. To this aim, the effect of STN-DBS on personality traits was assessed in 46 PD patients (12 women and 34 men) by means of the Freiburg Personality Inventory. The Becks Depression Inventory (BDI-I) and the Parkinson's Disease Questionnaire were used to evaluate patients' level of depression and quality of life (QoL). Patients completed the questionnaires a few days before, within the first year, and 2 years after surgery. The 12 personality traits defined by the FPI-R questionnaire did not change significantly after STN-DBS surgery (p = 0.198). Women declared higher depression scores through all study stages (p = 0.009), but also showed a stronger QoL amelioration after surgery than male patients (p = 0.022). The BDI-I scores of female patients clearly correlated with their levodopa equivalent daily dose (LEDD; r = 0.621, p = 0.008). Remarkably, in both male and female patients, higher pre-operative LEDDs were related to worse post-operative QoL scores (p = 0.034). These results mitigate the concerns about systematic personality changes due to STN-DBS treatment in PD patients and encourage an early DBS approach, before severe levodopa-induced sequelae may irreparably compromise the patients' QoL. In the future, more focus should lie on sex-related effects, since female patients seem to profit more than male patients from STN-DBS, in terms of reduced depressive symptoms associated with a reduction of the LEDD and amelioration of QoL. These aspects may help to redress the sex imbalance in PD patients treated with DBS, given that women are still strongly under-represented.
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Affiliation(s)
- Amelie D Dietrich
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes A Koeppen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carsten Buhmann
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Monika Pötter-Nerger
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans O Pinnschmidt
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Oehlwein
- Neurological Outpatient Clinic for Parkinson's Disease and Deep Brain Stimulation, Gera, Germany
| | - Marita Oehlwein
- Neurological Outpatient Clinic for Parkinson's Disease and Deep Brain Stimulation, Gera, Germany
| | - Katrin Mittmann
- Neurological Outpatient Clinic for Parkinson's Disease and Deep Brain Stimulation, Gera, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Miriam Schaper
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Hamel
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian K E Moll
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alessandro Gulberti
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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9
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Martino A, Darbin O, Templeton K, Dees D, Lammle M, Torres T, Williams D, Naritoku D. Physical Plasticity of the Brain and Deep Brain Stimulation Lead: Evolution in the First Post-operative Week. Front Surg 2020; 7:55. [PMID: 33062638 PMCID: PMC7477286 DOI: 10.3389/fsurg.2020.00055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 07/13/2020] [Indexed: 12/20/2022] Open
Abstract
Background: Deep brain stimulation (DBS) is a therapy for movement disorders and psychiatric conditions. In the peri-operative period, brain shift occurs as the consequence of events related to the brain surgery which results in post-operative lead deformation. Objective: To quantify post-operative 3-dimensional DBS lead deformation after implantation. Methods: In 13 patients who had DBS lead implantation, we performed preoperative magnetic resonance imaging (MRI), preoperative computed tomography (CT) scans after placement of fiducial markers, and post-operative CT scans immediately, 24-48 h, and 7 days after implantation. The MRI scans were used to define brain orientation and merged with CT scans. Lead deviation was determined relative to a theoretical linear lead path defined by the skull entry and target lead tip points. Results: In the sagittal plane, we distinguished an initial period after surgery (<48 h) characterized by a deviation of the lead toward the rostral direction and a late period (over 1 week) characterized by a lead deviation toward the caudal direction. In the coronal plane, there was higher probability of lead deviation in the lateral than medial direction. During 7 days after implantation, there was net movement of the center of the lead anteriorly, and the half of the lead close to the entry point moved medially. These deviations appeared normative since all patients included in this study had benefits from DBS therapy with total power of charged comparable to those described in literature. Conclusion: DBS lead deviation occurs during 7 days after implantation. The range of deviation described in this study was not associated to adverse clinical effects and may be considered normative. Future multicenter studies would be helpful to define guide lines on DBS lead deformation and its contribution to clinical outcome.
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Affiliation(s)
- Anthony Martino
- Department of Neurosurgery, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Olivier Darbin
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Kelsey Templeton
- Department of Neurosurgery, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Daniel Dees
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Markus Lammle
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States.,Department of Radiology, Tulane University, New Orleans, LA, United States
| | - Tatiana Torres
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Dakota Williams
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States
| | - Dean Naritoku
- Department of Neurology, College of Medicine, University of South Alabama, Mobile, AL, United States
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10
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Hwang BY, Mampre D, Mills K, Courtney P, Kim MJ, Butala AA, Anderson WS. Non-staged bilateral Globus Pallidus Internus deep brain stimulation lead revision using intraoperative MRI: a case report and literature review. Br J Neurosurg 2020; 35:301-305. [PMID: 32648480 DOI: 10.1080/02688697.2020.1789556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) lead revision due to suboptimal therapy is common but there is no standardised protocol. We describe a novel technique using iMRI to perform concurrent new Globus Pallidus Internus (GPi) DBS lead implantation and old lead removal in a dystonia patient.Case-description: A 60-year-old woman with medication and neurotoxin-refractory isolated cervical dystonia underwent awake bilateral GPi DBS surgery with MER-guided lead implantation. She initially had a favourable response but later reported suboptimal benefit despite reprogramming. MRI demonstrated suboptimal lead placement and MRI-guided revision surgery under general anesthesia was planned. The goal was to place new leads superior and medial to the existing leads. Using a 1.5 T iMRI and the ClearPoint® NeuroNavigation system, new leads were placed through the existing burr holes, into the new targets with radial errors < 0.08mm bilaterally without crossing the old leads. The old leads were then removed and the new leads connected to the existing pulse generator. The patient tolerated the procedure well and had improved side-effect profile at all contacts at 1-month follow-up. CONCLUSIONS Non-staged iMRI-guided DBS revision surgery under general anesthesia is technically feasible and is an alternative strategy to a staged iMRI-guided revision surgery or an awake MER-guided revision surgery in select patients.
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Affiliation(s)
- Brian Y Hwang
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - David Mampre
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kelly Mills
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Pamala Courtney
- Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Min Jae Kim
- Department of Biomedical Engineering and Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ankur A Butala
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - William S Anderson
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
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11
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Gratton C, Kraus BT, Greene DJ, Gordon EM, Laumann TO, Nelson SM, Dosenbach NUF, Petersen SE. Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry. Biol Psychiatry 2020; 88:28-39. [PMID: 31916942 PMCID: PMC7203002 DOI: 10.1016/j.biopsych.2019.10.026] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 10/07/2019] [Accepted: 10/25/2019] [Indexed: 12/28/2022]
Abstract
Studies comparing diverse groups have shown that many psychiatric diseases involve disruptions across distributed large-scale networks of the brain. There is hope that functional magnetic resonance imaging (fMRI) functional connectivity techniques will shed light on these disruptions, providing prognostic and diagnostic biomarkers as well as targets for therapeutic interventions. However, to date, progress on clinical translation of fMRI methods has been limited. Here, we argue that this limited translation is driven by a combination of intersubject heterogeneity and the relatively low reliability of standard fMRI techniques at the individual level. We review a potential solution to these limitations: the use of new "precision" fMRI approaches that shift the focus of analysis from groups to single individuals through the use of extended data acquisition strategies. We begin by discussing the potential advantages of fMRI functional connectivity methods for improving our understanding of functional neuroanatomy and disruptions in psychiatric disorders. We then discuss the budding field of precision fMRI and findings garnered from this work. We demonstrate that precision fMRI can improve the reliability of functional connectivity measures, while showing high stability and sensitivity to individual differences. We close by discussing the application of these approaches to clinical settings.
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Affiliation(s)
- Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, Illinois; Department of Neurology, Northwestern University, Evanston, Illinois.
| | - Brian T Kraus
- Department of Psychology, Northwestern University, Evanston, Illinois
| | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri; Department of Radiology, Washington University in St. Louis, St. Louis, Missouri
| | - Evan M Gordon
- VISN Center of Excellence for Research on Returning War Veterans, Waco, Texas; Department of Psychology and Neuroscience, Baylor University, Waco, Texas; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas
| | - Timothy O Laumann
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri
| | - Steven M Nelson
- VISN Center of Excellence for Research on Returning War Veterans, Waco, Texas; Department of Psychology and Neuroscience, Baylor University, Waco, Texas; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas; Department of Psychiatry and Behavioral Science, Texas A&M Health Science Center, College of Medicine, Bryan, Texas
| | - Nico U F Dosenbach
- Department of Radiology, Washington University in St. Louis, St. Louis, Missouri; Department of Neurology, Washington University in St. Louis, St. Louis, Missouri; Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Steven E Petersen
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri; Department of Radiology, Washington University in St. Louis, St. Louis, Missouri; Department of Neurology, Washington University in St. Louis, St. Louis, Missouri; Department of Neuroscience, Washington University in St. Louis, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
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12
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Treu S, Strange B, Oxenford S, Neumann WJ, Kühn A, Li N, Horn A. Deep brain stimulation: Imaging on a group level. Neuroimage 2020; 219:117018. [PMID: 32505698 DOI: 10.1016/j.neuroimage.2020.117018] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/07/2020] [Accepted: 06/01/2020] [Indexed: 12/11/2022] Open
Abstract
Deep Brain Stimulation (DBS) is an established treatment option for movement disorders and is under investigation for treatment in a growing number of other brain diseases. It has been shown that exact electrode placement crucially affects the efficacy of DBS and this should be considered when investigating novel indications or DBS targets. To measure clinical improvement as a function of electrode placement, neuroscientific methodology and specialized software tools are needed. Such tools should have the goal to make electrode placement comparable across patients and DBS centers, and include statistical analysis options to validate and define optimal targets. Moreover, to allow for comparability across different centers, these need to be performed within an algorithmically and anatomically standardized and openly available group space. With the publication of Lead-DBS software in 2014, an open-source tool was introduced that allowed for precise electrode reconstructions based on pre- and postoperative neuroimaging data. Here, we introduce Lead Group, implemented within the Lead-DBS environment and specifically designed to meet aforementioned demands. In the present article, we showcase the various processing streams of Lead Group in a retrospective cohort of 51 patients suffering from Parkinson's disease, who were implanted with DBS electrodes to the subthalamic nucleus (STN). Specifically, we demonstrate various ways to visualize placement of all electrodes in the group and map clinical improvement values to subcortical space. We do so by using active coordinates and volumes of tissue activated, showing converging evidence of an optimal DBS target in the dorsolateral STN. Second, we relate DBS outcome to the impact of each electrode on local structures by measuring overlap of stimulation volumes with the STN. Finally, we explore the software functions for connectomic mapping, which may be used to relate DBS outcomes to connectivity estimates with remote brain areas. The manuscript is accompanied by a walkthrough tutorial which allows users to reproduce all main results presented here. All data and code needed to reproduce results are openly available.
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Affiliation(s)
- Svenja Treu
- Laboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, Spain; Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.
| | - Bryan Strange
- Laboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, Spain
| | - Simon Oxenford
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Wolf-Julian Neumann
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Andrea Kühn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Exzellenzcluster NeuroCure, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ningfei Li
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Andreas Horn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
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13
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Merola A, Romagnolo A, Krishna V, Pallavaram S, Carcieri S, Goetz S, Mandybur G, Duker AP, Dalm B, Rolston JD, Fasano A, Verhagen L. Current Directions in Deep Brain Stimulation for Parkinson's Disease-Directing Current to Maximize Clinical Benefit. Neurol Ther 2020; 9:25-41. [PMID: 32157562 PMCID: PMC7229063 DOI: 10.1007/s40120-020-00181-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Indexed: 12/19/2022] Open
Abstract
Several single-center studies and one large multicenter clinical trial demonstrated that directional deep brain stimulation (DBS) could optimize the volume of tissue activated (VTA) based on the individual placement of the lead in relation to the target. The ability to generate axially asymmetric fields of stimulation translates into a broader therapeutic window (TW) compared to conventional DBS. However, changing the shape and surface of stimulating electrodes (directional segmented vs. conventional ring-shaped) also demands a revision of the programming strategies employed for DBS programming. Model-based approaches have been used to predict the shape of the VTA, which can be visualized on standardized neuroimaging atlases or individual magnetic resonance imaging. While potentially useful for optimizing clinical care, these systems remain limited by factors such as patient-specific anatomical variability, postsurgical lead migrations, and inability to account for individual contact impedances and orientation of the systems of fibers surrounding the electrode. Alternative programming tools based on the functional assessment of stimulation-induced clinical benefits and side effects allow one to collect and analyze data from each electrode of the DBS system and provide an action plan of ranked alternatives for therapeutic settings based on the selection of optimal directional contacts. Overall, an increasing amount of data supports the use of directional DBS. It is conceivable that the use of directionality may reduce the need for complex programming paradigms such as bipolar configurations, frequency or pulse width modulation, or interleaving. At a minimum, stimulation through directional electrodes can be considered as another tool to improve the benefit/side effect ratio. At a maximum, directionality may become the preferred way to program because of its larger TW and lower energy consumption.
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Affiliation(s)
- Aristide Merola
- Department of Neurology, Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Alberto Romagnolo
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Vibhor Krishna
- Department of Neurosurgery, Ohio State Wexner Medical Center, Columbus, OH, USA
| | | | | | - Steven Goetz
- Medtronic PLC Brain Modulation, Minneapolis, MN, USA
| | | | - Andrew P Duker
- Department of Neurology, Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, USA
| | - Brian Dalm
- Department of Neurosurgery, Ohio State Wexner Medical Center, Columbus, OH, USA
| | - John D Rolston
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, ON, Canada
- Division of Neurology, University of Toronto, Toronto, ON, Canada
- Krembil Brain Institute, Toronto, ON, Canada
- CenteR for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada
| | - Leo Verhagen
- Department of Neurological Sciences, Movement Disorder Section, Rush University, Chicago, IL, USA
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14
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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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15
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Latency of subthalamic nucleus deep brain stimulation-evoked cortical activity as a potential biomarker for postoperative motor side effects. Clin Neurophysiol 2020; 131:1221-1229. [PMID: 32299006 DOI: 10.1016/j.clinph.2020.02.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 02/07/2020] [Accepted: 02/11/2020] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Here, we investigate whether cortical activation predicts motor side effects of deep brain stimulation (DBS) and whether these potential biomarkers have utility under general anesthesia. METHODS We recorded scalp potentials elicited by DBS during surgery (n = 11), both awake and under general anesthesia, and in an independent ambulatory cohort (n = 8). Across a range of stimulus configurations, we measured the amplitude and timing of short- and long-latency response components and linked them to motor side effects. RESULTS Regardless of anesthesia state, in both cohorts, DBS settings with capsular side effects elicited early responses with peak latencies clustering at <1 ms. This early response was preserved under anesthesia in all participants (11/11). In contrast, the long-latency components were suppressed completely in 6/11 participants. Finally, the latency of the earliest response could predict the presence of postoperative motor side effects both awake and under general anesthesia (84.8% and 75.8% accuracy, awake and under anesthesia, respectively). CONCLUSION DBS elicits short-latency cortical activation, both awake and under general anesthesia, which appears to reveal interactions between the stimulus and the corticospinal tract. SIGNIFICANCE Short-latency evoked cortical activity can potentially be used to aid both DBS lead placement and post-operative programming.
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16
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Greene DJ, Marek S, Gordon EM, Siegel JS, Gratton C, Laumann TO, Gilmore AW, Berg JJ, Nguyen AL, Dierker D, Van AN, Ortega M, Newbold DJ, Hampton JM, Nielsen AN, McDermott KB, Roland JL, Norris SA, Nelson SM, Snyder AZ, Schlaggar BL, Petersen SE, Dosenbach NUF. Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. Neuron 2020; 105:742-758.e6. [PMID: 31836321 PMCID: PMC7035165 DOI: 10.1016/j.neuron.2019.11.012] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 08/28/2019] [Accepted: 11/07/2019] [Indexed: 10/25/2022]
Abstract
The basal ganglia, thalamus, and cerebral cortex form an interconnected network implicated in many neurological and psychiatric illnesses. A better understanding of cortico-subcortical circuits in individuals will aid in development of personalized treatments. Using precision functional mapping-individual-specific analysis of highly sampled human participants-we investigated individual-specific functional connectivity between subcortical structures and cortical functional networks. This approach revealed distinct subcortical zones of network specificity and multi-network integration. Integration zones were systematic, with convergence of cingulo-opercular control and somatomotor networks in the ventral intermediate thalamus (motor integration zones), dorsal attention and visual networks in the pulvinar, and default mode and multiple control networks in the caudate nucleus. The motor integration zones were present in every individual and correspond to consistently successful sites of deep brain stimulation (DBS; essential tremor). Individually variable subcortical zones correspond to DBS sites with less consistent treatment effects, highlighting the importance of PFM for neurosurgery, neurology, and psychiatry.
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Affiliation(s)
- Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Scott Marek
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Evan M Gordon
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Joshua S Siegel
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA; Department of Neurology, Northwestern University, Evanston, IL, USA
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Adrian W Gilmore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey J Berg
- Department of Psychology, New York University, New York, NY, USA
| | - Annie L Nguyen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Donna Dierker
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Mario Ortega
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacqueline M Hampton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ashley N Nielsen
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, USA
| | - Kathleen B McDermott
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, USA
| | - Jarod L Roland
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Scott A Norris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Steven M Nelson
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven E Petersen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Nico U F Dosenbach
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA; Program in Occupational Therapy, Washington University, St. Louis, MO, USA.
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17
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Shamir RR, Duchin Y, Kim J, Patriat R, Marmor O, Bergman H, Vitek JL, Sapiro G, Bick A, Eliahou R, Eitan R, Israel Z, Harel N. Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery. Neurosurgery 2020; 84:749-757. [PMID: 29800386 DOI: 10.1093/neuros/nyy212] [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: 12/13/2017] [Accepted: 04/26/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a proven and effective therapy for the management of the motor symptoms of Parkinson's disease (PD). While accurate positioning of the stimulating electrode is critical for success of this therapy, precise identification of the STN based on imaging can be challenging. We developed a method to accurately visualize the STN on a standard clinical magnetic resonance imaging (MRI). The method incorporates a database of 7-Tesla (T) MRIs of PD patients together with machine-learning methods (hereafter 7 T-ML). OBJECTIVE To validate the clinical application accuracy of the 7 T-ML method by comparing it with identification of the STN based on intraoperative microelectrode recordings. METHODS Sixteen PD patients who underwent microelectrode-recordings guided STN DBS were included in this study (30 implanted leads and electrode trajectories). The length of the STN along the electrode trajectory and the position of its contacts to dorsal, inside, or ventral to the STN were compared using microelectrode-recordings and the 7 T-ML method computed based on the patient's clinical 3T MRI. RESULTS All 30 electrode trajectories that intersected the STN based on microelectrode-recordings, also intersected it when visualized with the 7 T-ML method. STN trajectory average length was 6.2 ± 0.7 mm based on microelectrode recordings and 5.8 ± 0.9 mm for the 7 T-ML method. We observed a 93% agreement regarding contact location between the microelectrode-recordings and the 7 T-ML method. CONCLUSION The 7 T-ML method is highly consistent with microelectrode-recordings data. This method provides a reliable and accurate patient-specific prediction for targeting the STN.
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Affiliation(s)
| | - Yuval Duchin
- Surgical Information Sciences, Minneapolis, Minnesota.,Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota
| | - Jinyoung Kim
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina
| | - Remi Patriat
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota
| | - Odeya Marmor
- Department of Neurobiology, Institute of Medical Research-Israel Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Hagai Bergman
- Department of Neurobiology, Institute of Medical Research-Israel Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.,Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - Jerrold L Vitek
- Department of Neurology, University of Minnesota, Minneapolis, Minnesota
| | - Guillermo Sapiro
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina.,Departments of Biomedical Engineering, Computer Science, and Mathematics, Duke University, Durham, North Carolina
| | - Atira Bick
- Department of Radiology, Hadassah Medical Center, Jerusalem, Israel
| | - Ruth Eliahou
- Department of Radiology, Hadassah Medical Center, Jerusalem, Israel
| | - Renana Eitan
- Department of Neurobiology, Institute of Medical Research-Israel Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.,Functional Neuroimaging Laboratory, Brigham and Women's Hospital, Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Zvi Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Noam Harel
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota
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18
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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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19
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Johnson KA, Fletcher PT, Servello D, Bona A, Porta M, Ostrem JL, Bardinet E, Welter ML, Lozano AM, Baldermann JC, Kuhn J, Huys D, Foltynie T, Hariz M, Joyce EM, Zrinzo L, Kefalopoulou Z, Zhang JG, Meng FG, Zhang C, Ling Z, Xu X, Yu X, Smeets AY, Ackermans L, Visser-Vandewalle V, Mogilner AY, Pourfar MH, Almeida L, Gunduz A, Hu W, Foote KD, Okun MS, Butson CR. Image-based analysis and long-term clinical outcomes of deep brain stimulation for Tourette syndrome: a multisite study. J Neurol Neurosurg Psychiatry 2019; 90:1078-1090. [PMID: 31129620 PMCID: PMC6744301 DOI: 10.1136/jnnp-2019-320379] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 04/11/2019] [Accepted: 04/12/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) can be an effective therapy for tics and comorbidities in select cases of severe, treatment-refractory Tourette syndrome (TS). Clinical responses remain variable across patients, which may be attributed to differences in the location of the neuroanatomical regions being stimulated. We evaluated active contact locations and regions of stimulation across a large cohort of patients with TS in an effort to guide future targeting. METHODS We collected retrospective clinical data and imaging from 13 international sites on 123 patients. We assessed the effects of DBS over time in 110 patients who were implanted in the centromedial (CM) thalamus (n=51), globus pallidus internus (GPi) (n=47), nucleus accumbens/anterior limb of the internal capsule (n=4) or a combination of targets (n=8). Contact locations (n=70 patients) and volumes of tissue activated (n=63 patients) were coregistered to create probabilistic stimulation atlases. RESULTS Tics and obsessive-compulsive behaviour (OCB) significantly improved over time (p<0.01), and there were no significant differences across brain targets (p>0.05). The median time was 13 months to reach a 40% improvement in tics, and there were no significant differences across targets (p=0.84), presence of OCB (p=0.09) or age at implantation (p=0.08). Active contacts were generally clustered near the target nuclei, with some variability that may reflect differences in targeting protocols, lead models and contact configurations. There were regions within and surrounding GPi and CM thalamus that improved tics for some patients but were ineffective for others. Regions within, superior or medial to GPi were associated with a greater improvement in OCB than regions inferior to GPi. CONCLUSION The results collectively indicate that DBS may improve tics and OCB, the effects may develop over several months, and stimulation locations relative to structural anatomy alone may not predict response. This study was the first to visualise and evaluate the regions of stimulation across a large cohort of patients with TS to generate new hypotheses about potential targets for improving tics and comorbidities.
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Affiliation(s)
- Kara A Johnson
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA
| | - P Thomas Fletcher
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.,School of Computing, University of Utah, Salt Lake City, Utah, USA
| | - Domenico Servello
- Neurosurgical Department, IRCCS Istituto Ortopedico Galeazzi, Milan, Lombardia, Italy
| | - Alberto Bona
- Neurosurgical Department, IRCCS Istituto Ortopedico Galeazzi, Milan, Lombardia, Italy
| | - Mauro Porta
- Tourette's Syndrome and Movement Disorders Center, IRCCS Istituto Ortopedico Galeazzi, Milan, Lombardia, Italy
| | - Jill L Ostrem
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Eric Bardinet
- Institut du Cerveau et de la Moelle Epiniere, Paris, Île-de-France, France
| | - Marie-Laure Welter
- Sorbonne Universités, University of Pierre and Marie Curie University of Paris, the French National Institute of Health and Medical Research U 1127, the National Center for Scientific Research 7225, Paris, France
| | - Andres M Lozano
- Division of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Juan Carlos Baldermann
- Department of Psychiatry and Psychotherapy, University of Cologne, Koln, Nordrhein-Westfalen, Germany
| | - Jens Kuhn
- Department of Psychiatry and Psychotherapy, University of Cologne, Koln, Nordrhein-Westfalen, Germany
| | - Daniel Huys
- Department of Psychiatry and Psychotherapy, University of Cologne, Koln, Nordrhein-Westfalen, Germany
| | - Thomas Foltynie
- Queen Square, Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience, University College London Institute of Neurology, London, UK
| | - Marwan Hariz
- Queen Square, Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience, University College London Institute of Neurology, London, UK
| | - Eileen M Joyce
- Queen Square, Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience, University College London Institute of Neurology, London, UK
| | - Ludvic Zrinzo
- Queen Square, Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience, University College London Institute of Neurology, London, UK
| | - Zinovia Kefalopoulou
- Queen Square, Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience, University College London Institute of Neurology, London, UK
| | - Jian-Guo Zhang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Fan-Gang Meng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - ChenCheng Zhang
- Department of Functional Neurosurgery, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhipei Ling
- Department of Neurosurgery, PLA Army General Hospital, Beijing, China
| | - Xin Xu
- Department of Neurosurgery, PLA Army General Hospital, Beijing, China
| | - Xinguang Yu
- Department of Neurosurgery, PLA Army General Hospital, Beijing, China
| | - Anouk Yjm Smeets
- Department of Neurosurgery, Maastricht University Medical Centre+, Maastricht, Limburg, The Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Centre+, Maastricht, Limburg, The Netherlands
| | - Veerle Visser-Vandewalle
- Department of Stereotaxy and Functional Neurosurgery, University Hospital Cologne, Koln, Nordrhein-Westfalen, Germany
| | - Alon Y Mogilner
- Center for Neuromodulation, Departments of Neurology and Neurosurgery, New York University Medical Center, New York, New York, USA
| | - Michael H Pourfar
- Center for Neuromodulation, Departments of Neurology and Neurosurgery, New York University Medical Center, New York, New York, USA
| | - Leonardo Almeida
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA
| | - Aysegul Gunduz
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA.,J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA
| | - Wei Hu
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA
| | - Kelly D Foote
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA
| | - Michael S Okun
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Departments of Neurology and Neurosurgery, University of Florida, Gainesville, Florida, USA
| | - Christopher R Butson
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA .,Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.,Departments of Neurology, Neurosurgery, and Psychiatry, University of Utah, Salt Lake City, Utah, USA
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20
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Dembek TA, Roediger J, Horn A, Reker P, Oehrn C, Dafsari HS, Li N, Kühn AA, Fink GR, Visser‐Vandewalle V, Barbe MT, Timmermann L. Probabilistic sweet spots predict motor outcome for deep brain stimulation in Parkinson disease. Ann Neurol 2019; 86:527-538. [DOI: 10.1002/ana.25567] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 07/07/2019] [Accepted: 07/28/2019] [Indexed: 01/02/2023]
Affiliation(s)
- Till A. Dembek
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
- Department of Stereotactic and Functional Neurosurgery, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Jan Roediger
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department for NeurologyCharité–University Medicine Berlin Berlin Germany
| | - Paul Reker
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Carina Oehrn
- Cognitive Neuroscience, Institute of Neuroscience and MedicineJülich Research Center Jülich Germany
| | - Haidar S. Dafsari
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Ningfei Li
- Movement Disorders and Neuromodulation Unit, Department for NeurologyCharité–University Medicine Berlin Berlin Germany
| | - Andrea A. Kühn
- Movement Disorders and Neuromodulation Unit, Department for NeurologyCharité–University Medicine Berlin Berlin Germany
| | - Gereon R. Fink
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
- Cognitive Neuroscience, Institute of Neuroscience and MedicineJülich Research Center Jülich Germany
| | - Veerle Visser‐Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Michael T. Barbe
- Department of Neurology, Faculty of MedicineUniversity of Cologne Cologne Germany
| | - Lars Timmermann
- Department of NeurologyUniversity Hospital of Marburg and Gießen Marburg Germany
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21
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Abstract
Parkinson disease (PD) is the second most common neurodegenerative disorder and affects more than 1 million individuals in the United States. Deep brain stimulation (DBS) is one form of treatment of PD. DBS treatment is still evolving due to technological innovations that shape how this therapy is used.
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Affiliation(s)
- Michael Kogan
- Department of Neurosurgery, University at Buffalo, 100 High Street Section B, 4th Floor, Buffalo, NY 14203, USA
| | - Matthew McGuire
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 875 Ellicott Street, 6071 CTRC, Buffalo, NY 14203, USA
| | - Jonathan Riley
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Functional Neurosurgery Kaleida Health System, 5959 Big Tree Road, Orchard Park, NY 14207, USA.
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22
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Verhagen R, Bour LJ, Odekerken VJJ, van den Munckhof P, Schuurman PR, de Bie RMA. Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson's Disease. Brain Sci 2019; 9:brainsci9030051. [PMID: 30832214 PMCID: PMC6469020 DOI: 10.3390/brainsci9030051] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 02/20/2019] [Accepted: 02/20/2019] [Indexed: 11/17/2022] Open
Abstract
Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location of 43 electrodes (26 patients), derived from MRI-fused CT images, was expressed relative to this patient-specific MER-based STN. Using regression analyses, the relation between contact location and motor improvement was studied. The regression model that predicts motor improvement based on levodopa effect alone was significantly improved by adding the one-year active contact coordinates (R2 change = 0.176, p = 0.014). In the combined prediction model (adjusted R2 = 0.389, p < 0.001), the largest contribution was made by the mediolateral location of the active contact (standardized beta = 0.490, p = 0.002). With the MER-based STN as a reference, we were able to find a significant relation between active contact location and motor improvement. MER-based STN modeling can be used to complement imaging-based STN models in the application of DBS.
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Affiliation(s)
- Rens Verhagen
- Department of Neurology and Clinical Neurophysiology, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
- Department of Neurosurgery, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Lo J Bour
- Department of Neurology and Clinical Neurophysiology, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Vincent J J Odekerken
- Department of Neurology and Clinical Neurophysiology, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Pepijn van den Munckhof
- Department of Neurosurgery, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - P Richard Schuurman
- Department of Neurosurgery, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Rob M A de Bie
- Department of Neurology and Clinical Neurophysiology, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
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23
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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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24
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Koivu M, Huotarinen A, Scheperjans F, Laakso A, Kivisaari R, Pekkonen E. Motor outcome and electrode location in deep brain stimulation in Parkinson's disease. Brain Behav 2018; 8:e01003. [PMID: 29851316 PMCID: PMC6043715 DOI: 10.1002/brb3.1003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 03/16/2018] [Accepted: 04/15/2018] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES To evaluate the efficacy and adverse effects of subthalamic deep brain stimulation (STN-DBS) in patients with advanced Parkinson's disease (PD) and the possible correlation between electrode location and clinical outcome. METHODS We retrospectively reviewed 87 PD-related STN-DBS operations at Helsinki University Hospital (HUH) from 2007 to 2014. The changes of Unified Parkinson's Disease Rating Scale (UPDRS) part III score, Hoehn & Yahr stage, antiparkinson medication, and adverse effects were studied. We estimated the active electrode location in three different coordinate systems: direct visual analysis of MRI correlated to brain atlas, location in relation to the nucleus borders and location in relation to the midcommisural point. RESULTS At 6 months after operation, both levodopa equivalent doses (LEDs; 35%, Wilcoxon signed-rank test = 0.000) and UPDRS part III scores significantly decreased (38%, Wilcoxon signed-rank test = 0.000). Four patients (5%) suffered from moderate DBS-related dysarthria. The generator and electrodes had to be removed in one patient due to infection (1%). Electrode coordinates in the three coordinate systems correlated well with each other. On the left side, more ventral location of the active contact was associated with greater LED decrease. CONCLUSIONS STN-DBS improves motor function and enables the reduction in antiparkinson medication with an acceptable adverse effect profile. More ventral location of the active contact may allow stronger LED reduction. Further research on the correlation between contact location, clinical outcome, and LED reduction is warranted.
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Affiliation(s)
- Maija Koivu
- Department of Neurology, Meilahti Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Antti Huotarinen
- Department of Neurosurgery, Töölö Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Filip Scheperjans
- Department of Neurology, Meilahti Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Aki Laakso
- Department of Neurosurgery, Töölö Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Riku Kivisaari
- Department of Neurosurgery, Töölö Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Eero Pekkonen
- Department of Neurology, Meilahti Hospital, Helsinki University Hospital, Helsinki, Finland
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25
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Bot M, Schuurman PR, Odekerken VJJ, Verhagen R, Contarino FM, De Bie RMA, van den Munckhof P. Deep brain stimulation for Parkinson's disease: defining the optimal location within the subthalamic nucleus. J Neurol Neurosurg Psychiatry 2018; 89:493-498. [PMID: 29353236 DOI: 10.1136/jnnp-2017-316907] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 11/12/2017] [Accepted: 11/20/2017] [Indexed: 02/05/2023]
Abstract
BACKGROUND Individual motor improvement after deep brain stimulation (DBS) of the subthalamic nucleus (STN) for Parkinson's disease (PD) varies considerably. Stereotactic targeting of the dorsolateral sensorimotor part of the STN is considered paramount for maximising effectiveness, but studies employing the midcommissural point (MCP) as anatomical reference failed to show correlation between DBS location and motor improvement. The medial border of the STN as reference may provide better insight in the relationship between DBS location and clinical outcome. METHODS Motor improvement after 12 months of 65 STN DBS electrodes was categorised into non-responding, responding and optimally responding body-sides. Stereotactic coordinates of optimal electrode contacts relative to both medial STN border and MCP served to define theoretic DBS 'hotspots'. RESULTS Using the medial STN border as reference, significant negative correlation (Pearson's correlation -0.52, P<0.01) was found between the Euclidean distance from the centre of stimulation to this DBS hotspot and motor improvement. This hotspot was located at 2.8 mm lateral, 1.7 mm anterior and 2.5 mm superior relative to the medial STN border. Using MCP as reference, no correlation was found. CONCLUSION The medial STN border proved superior compared with MCP as anatomical reference for correlation of DBS location and motor improvement, and enabled defining an optimal DBS location within the nucleus. We therefore propose the medial STN border as a better individual reference point than the currently used MCP on preoperative stereotactic imaging, in order to obtain optimal and thus less variable motor improvement for individual patients with PD following STN DBS.
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Affiliation(s)
- Maarten Bot
- Department of Neurosurgery, Academic Medical Center, Amsterdam, The Netherlands
| | - P Richard Schuurman
- Department of Neurosurgery, Academic Medical Center, Amsterdam, The Netherlands
| | - Vincent J J Odekerken
- Department of Neurology and Clinical Neurophysiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Rens Verhagen
- Department of Neurosurgery, Academic Medical Center, Amsterdam, The Netherlands.,Department of Neurology and Clinical Neurophysiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Fiorella Maria Contarino
- Department of Neurology and Clinical Neurophysiology, Academic Medical Center, Amsterdam, The Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Neurology, Haga Teaching Hospital, Den Haag, The Netherlands
| | - Rob M A De Bie
- Department of Neurology and Clinical Neurophysiology, Academic Medical Center, Amsterdam, The Netherlands
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26
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Dafsari HS, Petry-Schmelzer JN, Ray-Chaudhuri K, Ashkan K, Weis L, Dembek TA, Samuel M, Rizos A, Silverdale M, Barbe MT, Fink GR, Evans J, Martinez-Martin P, Antonini A, Visser-Vandewalle V, Timmermann L. Non-motor outcomes of subthalamic stimulation in Parkinson's disease depend on location of active contacts. Brain Stimul 2018; 11:904-912. [PMID: 29655586 DOI: 10.1016/j.brs.2018.03.009] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 03/06/2018] [Accepted: 03/12/2018] [Indexed: 10/17/2022] Open
Abstract
BACKGROUND Subthalamic nucleus (STN) deep brain stimulation (DBS) improves quality of life (QoL), motor, and non-motor symptoms (NMS) in Parkinson's disease (PD). Few studies have investigated the influence of the location of neurostimulation on NMS. OBJECTIVE To investigate the impact of active contact location on NMS in STN-DBS in PD. METHODS In this prospective, open-label, multicenter study including 50 PD patients undergoing bilateral STN-DBS, we collected NMSScale (NMSS), NMSQuestionnaire (NMSQ), Hospital Anxiety and Depression Scale (anxiety/depression, HADS-A/-D), PDQuestionnaire-8 (PDQ-8), Scales for Outcomes in PD-motor examination, motor complications, activities of daily living (ADL), and levodopa equivalent daily dose (LEDD) preoperatively and at 6 months follow-up. Changes were analyzed with Wilcoxon signed-rank/t-test and Bonferroni-correction for multiple comparisons. Although the STN was targeted visually, we employed an atlas-based approach to explore the relationship between active contact locations and DBS outcomes. Based on fused MRI/CT-images, we identified Cartesian coordinates of active contacts with patient-specific Mai-atlas standardization. We computed linear mixed-effects models with x-/y-/z-coordinates as independent, hemispheres as within-subject, and test change scores as dependent variables. RESULTS NMSS, NMSQ, PDQ-8, motor examination, complications, and LEDD significantly improved at follow-up. Linear mixed-effect models showed that NMS and QoL improvement significantly depended on more medial (HADS-D, NMSS), anterior (HADS-D, NMSQ, PDQ-8), and ventral (HADS-A/-D, NMSS, PDQ-8) neurostimulation. ADL improved more in posterior, LEDD in lateral neurostimulation locations. No relationship was observed for motor examination and complications scores. CONCLUSIONS Our study provides evidence that more anterior, medial, and ventral STN-DBS is significantly related to more beneficial non-motor outcomes.
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Affiliation(s)
- Haidar Salimi Dafsari
- Department of Neurology, University Hospital Cologne, Cologne, Germany; National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom.
| | | | - K Ray-Chaudhuri
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom; The Maurice Wohl Clinical Neuroscience Institute, King's College London, London, United Kingdom
| | - Keyoumars Ashkan
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
| | - Luca Weis
- Department of Neurology, IRCCS, San Camillo, Venice, Italy
| | - Till A Dembek
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Michael Samuel
- National Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
| | - Alexandra Rizos
- 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
| | - Michael T Barbe
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital Cologne, Cologne, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
| | - Julian Evans
- Department of Neurology, IRCCS, San Camillo, Venice, Italy
| | - Pablo Martinez-Martin
- National Center of Epidemiology and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | | | - Veerle Visser-Vandewalle
- Department of Stereotaxy and Functional Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital Cologne, Cologne, Germany; Department of Neurology, University Hospital Giessen and Marburg, Campus Marburg, Germany
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27
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Awake versus Asleep Deep Brain Stimulation Surgery: Technical Considerations and Critical Review of the Literature. Brain Sci 2018; 8:brainsci8010017. [PMID: 29351243 PMCID: PMC5789348 DOI: 10.3390/brainsci8010017] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 01/08/2018] [Accepted: 01/16/2018] [Indexed: 11/22/2022] Open
Abstract
Advancements in neuroimaging have led to a trend toward direct, image-based targeting under general anesthesia without the use of microelectrode recording (MER) or intraoperative test stimulation, also referred to as “asleep” deep brain stimulation (DBS) surgery. Asleep DBS, utilizing imaging in the form of intraoperative computed tomography (iCT) or magnetic resonance imaging (iMRI), has demonstrated reliable targeting accuracy of DBS leads implanted within the globus pallidus and subthalamic nucleus while also improving clinical outcomes in patients with Parkinson’s disease. In lieu, of randomized control trials, retrospective comparisons between asleep and awake DBS with MER have shown similar short-term efficacy with the potential for decreased complications in asleep cohorts. In lieu of long-term outcome data, awake DBS using MER must demonstrate more durable outcomes with fewer stimulation-induced side effects and lead revisions in order for its use to remain justifiable; although patient-specific factors may also be used to guide the decision regarding which technique may be most appropriate and tolerable to the patient.
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28
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Mills-Joseph R, Krishna V, Deogaonkar M, Rezai AR. Deep Brain Stimulation in Parkinson’s Disease. Neuromodulation 2018. [DOI: 10.1016/b978-0-12-805353-9.00074-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Krishna V, Sammartino F, Rezai AR. The Use of New Surgical Technologies for Deep Brain Stimulation. Neuromodulation 2018. [DOI: 10.1016/b978-0-12-805353-9.00034-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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30
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Tinkhauser G, Pogosyan A, Debove I, Nowacki A, Shah SA, Seidel K, Tan H, Brittain J, Petermann K, di Biase L, Oertel M, Pollo C, Brown P, Schuepbach M. Directional local field potentials: A tool to optimize deep brain stimulation. Mov Disord 2018; 33:159-164. [PMID: 29150884 PMCID: PMC5768242 DOI: 10.1002/mds.27215] [Citation(s) in RCA: 104] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/21/2017] [Accepted: 10/03/2017] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Although recently introduced directional DBS leads provide control of the stimulation field, programing is time-consuming. OBJECTIVES Here, we validate local field potentials recorded from directional contacts as a predictor of the most efficient contacts for stimulation in patients with PD. METHODS Intraoperative local field potentials were recorded from directional contacts in the STN of 12 patients and beta activity compared with the results of the clinical contact review performed after 4 to 7 months. RESULTS Normalized beta activity was positively correlated with the contact's clinical efficacy. The two contacts with the highest beta activity included the most efficient stimulation contact in up to 92% and that with the widest therapeutic window in 74% of cases. CONCLUSION Local field potentials predict the most efficient stimulation contacts and may provide a useful tool to expedite the selection of the optimal contact for directional DBS. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Gerd Tinkhauser
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
- Department of NeurologyBern University Hospital and University of BernBernSwitzerland
| | - Alek Pogosyan
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Ines Debove
- Department of NeurologyBern University Hospital and University of BernBernSwitzerland
| | - Andreas Nowacki
- Department of NeurosurgeryBern University Hospital and University of BernBernSwitzerland
| | - Syed Ahmar Shah
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Kathleen Seidel
- Department of NeurosurgeryBern University Hospital and University of BernBernSwitzerland
| | - Huiling Tan
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - John‐Stuart Brittain
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Katrin Petermann
- Department of NeurologyBern University Hospital and University of BernBernSwitzerland
| | - Lazzaro di Biase
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
- Neurology UnitCampus Bio‐Medico University of RomeRomeItaly
| | - Markus Oertel
- Department of NeurosurgeryBern University Hospital and University of BernBernSwitzerland
- Department of NeurosurgeryUniversity Hospital Zurich, University of ZurichZurichSwitzerland
| | - Claudio Pollo
- Department of NeurosurgeryBern University Hospital and University of BernBernSwitzerland
| | - Peter Brown
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Michael Schuepbach
- Department of NeurologyBern University Hospital and University of BernBernSwitzerland
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Ispierto L, Muñoz J, Cladellas JM, Cuadras P, Capellades J, Latorre P, Dávalos A, Vancamp T, Álvarez R. Post-Operative Localization of Deep Brain Stimulation Electrodes in the Subthalamus Using Transcranial Sonography. Neuromodulation 2017; 21:574-581. [PMID: 29178240 DOI: 10.1111/ner.12733] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 05/19/2017] [Accepted: 06/16/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVES The correct positioning of deep brain stimulation electrodes determines the success of surgery. In this study, we attempt to validate transcranial sonography (TCS) as a method for early postoperative confirmation of electrode location in the subthalamic nucleus (STN). MATERIALS AND METHODS Nineteen patients diagnosed with Parkinson's disease were enrolled in the study. Postoperative TCS was applied to measure the distance between the implanted electrodes and the third ventricle in the axial plane. Whether the electrodes were positioned within or outside the substantia nigra (SN) was evaluated through measurements in the coronal plane. The obtained metrics through TCS were compared with those from postoperative computed tomography (CT) and magnetic resonance imaging (MRI). RESULTS A statistically significant correlation between distances from electrode to third ventricle by TCS and CT/MRI (r = 0.75, p < 0.01) was observed. Distances from third ventricle to electrodes tips were different when sonographically they showed to be inside or outside the SN (p < 0.01). A cut-off value of 8.85mm in these distances was the most sensitive (100%) and specific (90.5%) to predict if electrodes were positioned inside the SN (CI 95% 0.81-10.30, p = 0.001). CONCLUSIONS Transcranial sonography is a useful technique to reliably identify targeted positioning of deep brain stimulation electrodes in or out of the SN.
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Affiliation(s)
- Lourdes Ispierto
- Department of Neurology and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Jorge Muñoz
- Department of Neurosurgery and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Josep Maria Cladellas
- Department of Neurosurgery and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Patricia Cuadras
- Department of Radiology, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Jaume Capellades
- Image Diagnosis Institute, Badalona, Spain.,Department of Medical Imaging Consorci MAR Parc de Salut, Barcelona, Spain
| | - Pilar Latorre
- Department of Neurology and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Antoni Dávalos
- Department of Neurology and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Tim Vancamp
- BRAI2N, St. Augustinus Hospital, Wilrijk, Belgium
| | - Ramiro Álvarez
- Department of Neurology and Neurosciences, University Hospital Germans Trias i Pujol, Badalona, Spain
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Tamir I, Marmor-Levin O, Eitan R, Bergman H, Israel Z. Posterolateral Trajectories Favor a Longer Motor Domain in Subthalamic Nucleus Deep Brain Stimulation for Parkinson Disease. World Neurosurg 2017; 106:450-461. [DOI: 10.1016/j.wneu.2017.06.178] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 06/26/2017] [Accepted: 06/29/2017] [Indexed: 01/08/2023]
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Noecker AM, Choi KS, Riva-Posse P, Gross RE, Mayberg HS, McIntyre CC. StimVision Software: Examples and Applications in Subcallosal Cingulate Deep Brain Stimulation for Depression. Neuromodulation 2017; 21:191-196. [PMID: 28653482 DOI: 10.1111/ner.12625] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 04/13/2017] [Accepted: 05/04/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Create a software tool to facilitate tractography-based deep brain stimulation (DBS) electrode targeting within the patient-specific stereotactic coordinate system used in the operating room. APPROACH StimVision was developed with Visualization Toolkit libraries and integrates four major components: 1) medical image visualization, 2) tractography visualization, 3) DBS electrode positioning, and 4) DBS activation volume calculation with tractography intersection. RESULTS Initial applications of StimVision are focused on the study of subcallosal cingulate (SCC) DBS for the treatment of depression. Retrospective modeling results on SCC DBS have suggested that direct stimulation of a specific collection of tractographic pathways are necessary for therapeutic benefit; thereby creating a tractography-based DBS surgical targeting hypotheses. StimVision is the tool we created to facilitate prospective clinical evaluation of that hypothesis. SIGNIFICANCE Retrospective tractography-based analyses are common in DBS research; however, intraoperative software tools for interactive selection of a tractography-based DBS target are not readily available. StimVision provides an academic research tool to assist clinical implementation of new DBS targeting strategies and postoperative evaluation of targeting outcome.
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Affiliation(s)
- Angela M Noecker
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Ki Sueng Choi
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Robert E Gross
- Departments of Neurosurgery, Neurology, and Biomedical Engineering, Emory University, Atlanta, GA, USA
| | - Helen S Mayberg
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Cameron C McIntyre
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
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Sasada S, Agari T, Sasaki T, Kondo A, Shinko A, Wakamori T, Okazaki M, Kin I, Kuwahara K, Kameda M, Yasuhara T, Date I. Efficacy of Fiber Tractography in the Stereotactic Surgery of the Thalamus for Patients with Essential Tremor. Neurol Med Chir (Tokyo) 2017; 57:392-401. [PMID: 28458383 PMCID: PMC5566698 DOI: 10.2176/nmc.oa.2016-0277] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Several targets and targeting methods are utilized in stereotactic surgery to achieve tremor suppression for patients with intractable tremor. Recent developments in magnetic resonance imaging, including diffusion tensor imaging, have enabled the setting of appropriate targets in stereotactic surgery. In this retrospective study, the optimal target to suppress tremors in stereotactic surgery was explored using diffusion tensor image-based fiber tractography. Four tracts were focused on in this study, namely: the cerebello-thalamo-premotor cortical fiber tract, cerebello-thalamo-primary motor cortical fiber tract, spino-thalamo-somatosensory cortical fiber tract, and pyramidal tract. In 10 patients with essential tremor, we evaluated the thalamotomy lesions and active contacts of the lead in thalamic stimulation by diffusion tensor image-based fiber tractography to reveal which part of the cerebral cortex is most affected by stereotactic surgery. Tremor suppression and adverse events were also evaluated in the patients involved in this study. Consequently, the good tremor suppression was achieved in all patients. There had been no permanent adverse events 3 months after surgery. Twelve lesions in thalamotomy patients or active contacts of the lead in thalamic stimulation patients were on the cerebello-thalamo-premotor cortical fiber tract (12/14 lesions or active contacts: 86%). In conclusion, the cerebello-thalamo-premotor cortical fiber tract may be an optimal target for tremor suppression. Diffusion tensor image-based fiber tractography may enable us to both determine the optimal target to achieve strong tremor suppression and to reduce the number of adverse events by keeping lesions or electrodes away from important fiber tracts, such as the pyramidal tract and spinothalamic fibers.
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Affiliation(s)
- Susumu Sasada
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Takashi Agari
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Tatsuya Sasaki
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Akihiko Kondo
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Aiko Shinko
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Takaaki Wakamori
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Mihoko Okazaki
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Ittetsu Kin
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Ken Kuwahara
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Masahiro Kameda
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Takao Yasuhara
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Isao Date
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
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Horn A, Kühn AA, Merkl A, Shih L, Alterman R, Fox M. Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space. Neuroimage 2017; 150:395-404. [PMID: 28163141 DOI: 10.1016/j.neuroimage.2017.02.004] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 02/01/2017] [Accepted: 02/02/2017] [Indexed: 10/20/2022] Open
Abstract
In neurosurgical literature, findings such as deep brain stimulation (DBS) electrode positions are conventionally reported in relation to the anterior and posterior commissures of the individual patient (AC/PC coordinates). However, the neuroimaging literature including neuroanatomical atlases, activation patterns, and brain connectivity maps has converged on a different population-based standard (MNI coordinates). Ideally, one could relate these two literatures by directly transforming MRIs from neurosurgical patients into MNI space. However obtaining these patient MRIs can prove difficult or impossible, especially for older studies or those with hundreds of patients. Here, we introduce a methodology for mapping an AC/PC coordinate (such as a DBS electrode position) to MNI space without the need for MRI scans from the patients themselves. We validate our approach using a cohort of DBS patients in which MRIs are available, and test whether several variations on our approach provide added benefit. We then use our approach to convert previously reported DBS electrode coordinates from eight different neurological and psychiatric diseases into MNI space. Finally, we demonstrate the value of such a conversion using the DBS target for essential tremor as an example, relating the site of the active DBS contact to different MNI atlases as well as anatomical and functional connectomes in MNI space.
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Affiliation(s)
- Andreas Horn
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Charité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany.
| | - Andrea A Kühn
- Charité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany
| | - Angela Merkl
- Charité - University Medicine Berlin, Department of Neurology, Movement Disorder and Neuromodulation Unit, Germany
| | - Ludy Shih
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Ron Alterman
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Beth Israel Deaconess Medical Center, Neurosurgery Department, Harvard Medical School, Boston, MA 02215
| | - Michael Fox
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
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Garcia-Garcia D, Guridi J, Toledo JB, Alegre M, Obeso JA, Rodríguez-Oroz MC. Stimulation sites in the subthalamic nucleus and clinical improvement in Parkinson's disease: a new approach for active contact localization. J Neurosurg 2016; 125:1068-1079. [DOI: 10.3171/2015.9.jns15868] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is widely used in patients with Parkinson's disease (PD). However, which target area of this region results in the highest antiparkinsonian efficacy is still a matter of debate. The aim of this study was to develop a more accurate methodology to locate the electrodes and the contacts used for chronic stimulation (active contacts) in the subthalamic region, and to determine the position at which stimulation conveys the greatest clinical benefit.
METHODS
The study group comprised 40 patients with PD in whom bilateral DBS electrodes had been implanted in the STN. Based on the Morel atlas, the authors created an adaptable 3D atlas that takes into account individual anatomical variability and divides the STN into functional territories. The locations of the electrodes and active contacts were obtained from an accurate volumetric assessment of the artifact using preoperative and postoperative MR images. Active contacts were positioned in the 3D atlas using stereotactic coordinates and a new volumetric method based on an ellipsoid representation created from all voxels that belong to a set of contacts. The antiparkinsonian benefit of the stimulation was evaluated by the reduction in the Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) score and in the levodopa equivalent daily dose (LEDD) at 6 months. A homogeneous group classification for contact position and the respective clinical improvement was applied using a hierarchical clustering method.
RESULTS
Subthalamic stimulation induced a significant reduction of 58.0% ± 16.5% in the UPDRS-III score (p < 0.001) and 64.9% ± 21.0% in the LEDD (p < 0.001). The greatest reductions in the total and contralateral UPDRS-III scores (64% and 76%, respectively) and in the LEDD (73%) were obtained when the active contacts were placed approximately 12 mm lateral to the midline, with no influence of the position being observed in the anteroposterior and dorsoventral axes. In contrast, contacts located about 10 mm from the midline only reduced the global and contralateral UPDRS-III scores by 47% and 41%, respectively, and the LEDD by 33%. Using the ellipsoid method of location, active contacts with the highest benefit were positioned in the rostral and most lateral portion of the STN and at the interface between this subthalamic region, the zona incerta, and the thalamic fasciculus. Contacts placed in the most medial regions of the motor STN area provided the lowest clinical efficacy.
CONCLUSIONS
The authors report an accurate new methodology to assess the position of electrodes and contacts used for chronic subthalamic stimulation. Using this approach, the highest antiparkinsonian benefit is achieved when active contacts are located within the rostral and the most lateral parts of the motor region of the STN and at the interface of this region and adjacent areas (zona incerta and thalamic fasciculus).
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Affiliation(s)
- David Garcia-Garcia
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
- 2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED); and
| | - Jorge Guridi
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
- 2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED); and
| | - Jon B. Toledo
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
| | - Manuel Alegre
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
| | - José A. Obeso
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
- 2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED); and
| | - María C. Rodríguez-Oroz
- 1Neurosciences Area, CIMA, Department of Neurology and Neurosurgery, Clínica Universidad de Navarra Medical School, Pamplona
- 2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED); and
- 3Neuroscience Unit, BioDonostia Research Institute, University Hospital Donostia, Basque Center on Cognition, Brain and Language (BCBL), San Sebastián; Ikerbasque, Basque Foundation for Science, Bilbao, Spain
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Sharim J, Yazdi D, Baohan A, Behnke E, Pouratian N. Modeling Laterality of the Globus Pallidus Internus in Patients With Parkinson's Disease. Neuromodulation 2016; 20:238-242. [PMID: 27465487 DOI: 10.1111/ner.12480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 06/03/2016] [Accepted: 06/26/2016] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Neurosurgical interventions such as deep brain stimulation surgery of the globus pallidus internus (GPi) play an important role in the treatment of medically refractory Parkinson's disease (PD), and require high targeting accuracy. Variability in the laterality of the GPi across patients with PD has not been well characterized. The aim of this report is to identify factors that may contribute to differences in position of the motor region of GPi. MATERIALS AND METHODS The charts and operative reports of 101 PD patients following deep brain stimulation surgery (70 males, aged 11-78 years) representing 201 GPi were retrospectively reviewed. Data extracted for each subject include age, gender, anterior and posterior commissures (AC-PC) distance, and third ventricular width. Multiple linear regression, stepwise regression, and relative importance of regressors analysis were performed to assess the predictive ability of these variables on GPi laterality. RESULTS Multiple linear regression for target vs. third ventricular width, gender, AC-PC distance, and age were significant for normalized linear regression coefficients of 0.333 (p < 0.0001), 0.206 (p = 0.00219), 0.168 (p = 0.0119), and 0.159 (p = 0.0136), respectively. Third ventricular width, gender, AC-PC distance, and age each account for 44.06% (21.38-65.69%, 95% CI), 20.82% (10.51-35.88%), 21.46% (8.28-37.05%), and 13.66% (2.62-28.64%) of the R2 value, respectively. Effect size calculation was significant for a change in the GPi laterality of 0.19 mm per mm of ventricular width, 0.11 mm per mm of AC-PC distance, 0.017 mm per year in age, and 0.54 mm increase for male gender. CONCLUSION This variability highlights the limitations of indirect targeting alone, and argues for the continued use of MRI as well as intraoperative physiological testing to account for such factors that contribute to patient-specific variability in GPi localization.
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Affiliation(s)
- Justin Sharim
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Daniel Yazdi
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Amy Baohan
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Eric Behnke
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Nader Pouratian
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,Department of Bioengineering, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,Neuroscience Interdepartmental Program, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,Brain Research Institute, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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38
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Avecillas-Chasin JM. Individualization of deep brain stimulation targets for movement disorders. Acta Neurochir (Wien) 2015; 157:1795-7. [PMID: 26239253 DOI: 10.1007/s00701-015-2523-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 07/18/2015] [Indexed: 10/23/2022]
Affiliation(s)
- Josué M Avecillas-Chasin
- Department of Neurosurgery, Institute of Neurosciences, Instituto de Investigación Sanitaria San Calos, Hospital Clínico San Carlos, Prof. Martín Lagos s/n, 28040, Madrid, Spain.
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Bari AA, Fasano A, Munhoz RP, Lozano AM. Improving outcomes of subthalamic nucleus deep brain stimulation in Parkinson’s disease. Expert Rev Neurother 2015; 15:1151-60. [DOI: 10.1586/14737175.2015.1081815] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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40
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De Jesus S, Almeida L, Peng-Chen Z, Okun MS, Hess CW. Novel targets and stimulation paradigms for deep brain stimulation. Expert Rev Neurother 2015; 15:1067-80. [DOI: 10.1586/14737175.2015.1083421] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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41
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Shenai MB, Romeo A, Walker HC, Guthrie S, Watts RL, Guthrie BL. Spatial topographies of unilateral subthalamic nucleus deep brain stimulation efficacy for ipsilateral, contralateral, midline, and total Parkinson disease motor symptoms. Neurosurgery 2015; 11 Suppl 2:80-8; discussion 88. [PMID: 25599197 DOI: 10.1227/neu.0000000000000613] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Subthalamic nucleus (STN) deep brain stimulation is a successful intervention for medically refractory Parkinson disease, although its efficacy depends on optimal electrode placement. Even though the predominant effect is observed contralaterally, modest improvements in ipsilateral and midline symptoms are also observed. OBJECTIVE To elucidate the role of contact location of unilateral deep brain stimulation on contralateral, ipsilateral, and axial subscores of Parkinson disease motor symptoms. METHODS Eighty-six patients receiving first deep brain stimulation STN electrode placements were identified, yielding 73 patients with 3-month follow-up. Total preoperative and postoperative Unified Parkinson Disease Rating Scale Part III scores were obtained and divided into contralateral, ipsilateral, and midline subscores. Contact location was determined on immediate postoperative magnetic resonance imaging. A 3-dimensional ordinary "kriging" algorithm generated spatial interpolations for total, ipsilateral, contralateral, and midline symptom categories. Interpolative reconstructions were performed in the axial planes (z = -0.5, -1.0, -1.5, -3.5, -4.5, -6.0) and a sagittal plane (x = 12.0). Interpolation error and significance were quantified by use of a cross-validation technique and quantile-quantile analysis. RESULTS There was an overall reduction in Unified Parkinson Disease Rating Scale Part III symptoms: total = 37.0 ± 24.11% (P < .05), ipsilateral = 15.9 ± 51.8%, contralateral = 56.2 ± 26.8% (P < .05), and midline = 26.5 ± 34.7%. Kriging interpolation was performed and cross-validated with quantile-quantile analysis with high correlation (R2 > 0.92) and demonstrated regions of efficacy for each symptom category. Contralateral symptoms demonstrated broad regions of efficacy across the peri-STN area. The ipsilateral and midline regions of efficacy were constrained and located along the dorsal STN and caudal zona incerta. CONCLUSION We provide evidence for a unique functional topographic window in which contralateral, ipsilateral, and midline structures may achieve the best efficacy. Although there are overlapping regions, laterality demonstrates distinct topographies. Surgical optimization should target the intersection of optimal regions for these symptom categories.
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Affiliation(s)
- Mahesh B Shenai
- *Department of Neuroscience, Inova Health System, Falls Church, Virginia, ‡Department of Neurosurgery, and §Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama
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Gunduz A, Morita H, Rossi PJ, Allen WL, Alterman RL, Bronte-Stewart H, Butson CR, Charles D, Deckers S, de Hemptinne C, DeLong M, Dougherty D, Ellrich J, Foote KD, Giordano J, Goodman W, Greenberg BD, Greene D, Gross R, Judy JW, Karst E, Kent A, Kopell B, Lang A, Lozano A, Lungu C, Lyons KE, Machado A, Martens H, McIntyre C, Min HK, Neimat J, Ostrem J, Pannu S, Ponce F, Pouratian N, Reymers D, Schrock L, Sheth S, Shih L, Stanslaski S, Steinke GK, Stypulkowski P, Tröster AI, Verhagen L, Walker H, Okun MS. Proceedings of the Second Annual Deep Brain Stimulation Think Tank: What's in the Pipeline. Int J Neurosci 2015; 125:475-85. [PMID: 25526555 PMCID: PMC4743588 DOI: 10.3109/00207454.2014.999268] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The proceedings of the 2nd Annual Deep Brain Stimulation Think Tank summarize the most contemporary clinical, electrophysiological, and computational work on DBS for the treatment of neurological and neuropsychiatric disease and represent the insights of a unique multidisciplinary ensemble of expert neurologists, neurosurgeons, neuropsychologists, psychiatrists, scientists, engineers and members of industry. Presentations and discussions covered a broad range of topics, including advocacy for DBS, improving clinical outcomes, innovations in computational models of DBS, understanding of the neurophysiology of Parkinson's disease (PD) and Tourette syndrome (TS) and evolving sensor and device technologies.
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Michmizos KP, Frangou P, Stathis P, Sakas D, Nikita KS. Beta-Band Frequency Peaks Inside the Subthalamic Nucleus as a Biomarker for Motor Improvement After Deep Brain Stimulation in Parkinson's Disease. IEEE J Biomed Health Inform 2015; 19:174-80. [DOI: 10.1109/jbhi.2014.2344102] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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