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Sandoval-Pistorius SS, Hacker ML, Waters AC, Wang J, Provenza NR, de Hemptinne C, Johnson KA, Morrison MA, Cernera S. Advances in Deep Brain Stimulation: From Mechanisms to Applications. J Neurosci 2023; 43:7575-7586. [PMID: 37940596 PMCID: PMC10634582 DOI: 10.1523/jneurosci.1427-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/14/2023] [Accepted: 08/15/2023] [Indexed: 11/10/2023] Open
Abstract
Deep brain stimulation (DBS) is an effective therapy for various neurologic and neuropsychiatric disorders, involving chronic implantation of electrodes into target brain regions for electrical stimulation delivery. Despite its safety and efficacy, DBS remains an underutilized therapy. Advances in the field of DBS, including in technology, mechanistic understanding, and applications have the potential to expand access and use of DBS, while also improving clinical outcomes. Developments in DBS technology, such as MRI compatibility and bidirectional DBS systems capable of sensing neural activity while providing therapeutic stimulation, have enabled advances in our understanding of DBS mechanisms and its application. In this review, we summarize recent work exploring DBS modulation of target networks. We also cover current work focusing on improved programming and the development of novel stimulation paradigms that go beyond current standards of DBS, many of which are enabled by sensing-enabled DBS systems and have the potential to expand access to DBS.
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Affiliation(s)
| | - Mallory L Hacker
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Allison C Waters
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Jing Wang
- Department of Neurology, University of Minnesota, Minneapolis, Minnesota 55455
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas 77030
| | - Coralie de Hemptinne
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Kara A Johnson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Melanie A Morrison
- Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California 94143
| | - Stephanie Cernera
- Department of Neurological Surgery, University of California-San Francisco, San Francisco, California 94143
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Bower KL, Noecker AM, Reich M, McIntyre CC. Quantifying the Variability Associated with Postoperative Localization of Deep Brain Stimulation Electrodes. Stereotact Funct Neurosurg 2023; 101:277-284. [PMID: 37379823 PMCID: PMC10833063 DOI: 10.1159/000530462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/26/2023] [Indexed: 06/30/2023]
Abstract
INTRODUCTION Computational models of deep brain stimulation (DBS) have become common tools in clinical research studies that attempt to establish correlations between stimulation locations in the brain and behavioral outcome measures. However, the accuracy of any patient-specific DBS model depends heavily upon accurate localization of the DBS electrodes within the anatomy, which is typically defined via co-registration of clinical CT and MRI datasets. Several different approaches exist for this challenging registration problem, and each approach will result in a slightly different electrode localization. The goal of this study was to better understand how different processing steps (e.g., cost-function masking, brain extraction, intensity remapping) affect the estimate of the DBS electrode location in the brain. METHODS No "gold standard" exists for this kind of analysis, as the exact location of the electrode in the living human brain cannot be determined with existing clinical imaging approaches. However, we can estimate the uncertainty associated with the electrode position, which can be used to guide statistical analyses in DBS mapping studies. Therefore, we used high-quality clinical datasets from 10 subthalamic DBS subjects and co-registered their long-term postoperative CT with their preoperative surgical targeting MRI using 9 different approaches. The distances separating all of the electrode location estimates were calculated for each subject. RESULTS On average, electrodes were located within a median distance of 0.57 mm (0.49-0.74) of one another across the different registration approaches. However, when considering electrode location estimates from short-term postoperative CTs, the median distance increased to 2.01 mm (1.55-2.78). CONCLUSIONS The results of this study suggest that electrode location uncertainty needs to be factored into statistical analyses that attempt to define correlations between stimulation locations and clinical outcomes.
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Affiliation(s)
- Kelsey L. Bower
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH
| | - Angela M. Noecker
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH
| | - Martin Reich
- Department of Neurology, University of Wurzburg, Germany
| | - Cameron C. McIntyre
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH
- Department of Biomedical Engineering, Duke University, Durham, NC
- Department of Neurosurgery, Duke University, Durham, NC
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Xu Y, Qin G, Tan B, Fan S, An Q, Gao Y, Fan H, Xie H, Wu D, Liu H, Yang G, Fang H, Xiao Z, Zhang J, Zhang H, Shi L, Yang A. Deep Brain Stimulation Electrode Reconstruction: Comparison between Lead-DBS and Surgical Planning System. J Clin Med 2023; 12:jcm12051781. [PMID: 36902568 PMCID: PMC10002993 DOI: 10.3390/jcm12051781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Electrode reconstruction for postoperative deep brain simulation (DBS) can be achieved manually using a surgical planning system such as Surgiplan, or in a semi-automated manner using software such as the Lead-DBS toolbox. However, the accuracy of Lead-DBS has not been thoroughly addressed. METHODS In our study, we compared the DBS reconstruction results of Lead-DBS and Surgiplan. We included 26 patients (21 with Parkinson's disease and 5 with dystonia) who underwent subthalamic nucleus (STN)-DBS, and reconstructed the DBS electrodes using the Lead-DBS toolbox and Surgiplan. The electrode contact coordinates were compared between Lead-DBS and Surgiplan with postoperative CT and MRI. The relative positions of the electrode and STN were also compared between the methods. Finally, the optimal contact during follow-up was mapped onto the Lead-DBS reconstruction results to check for overlap between the contacts and the STN. RESULTS We found significant differences in all axes between Lead-DBS and Surgiplan with postoperative CT, with the mean variance for the X, Y, and Z coordinates being -0.13, -1.16, and 0.59 mm, respectively. Y and Z coordinates showed significant differences between Lead-DBS and Surgiplan with either postoperative CT or MRI. However, no significant difference in the relative distance of the electrode and the STN was found between the methods. All optimal contacts were located in the STN, with 70% of them located within the dorsolateral region of the STN in the Lead-DBS results. CONCLUSIONS Although significant differences in electrode coordinates existed between Lead-DBS and Surgiplan, our results suggest that the coordinate difference was around 1 mm, and Lead-DBS can capture the relative distance between the electrode and the DBS target, suggesting it is reasonably accurate for postoperative DBS reconstruction.
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Affiliation(s)
- Yichen Xu
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guofan Qin
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Bojing Tan
- Department of Neurosurgery, Capital Institute of Pediatrics, Beijing 100020, China
| | - Shiying Fan
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Qi An
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yuan Gao
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Houyou Fan
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Hutao Xie
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Delong Wu
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Huanguang Liu
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guang Yang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150007, China
| | - Huaying Fang
- Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100089, China
- Academy for Multidisciplinary Studies, Capital Normal University, Beijing 100089, China
| | - Zunyu Xiao
- Molecular Imaging Research Center, Harbin Medical University, Harbin 150076, China
| | - Jianguo Zhang
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
| | - Hua Zhang
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Correspondence: (H.Z.); (L.S.); (A.Y.)
| | - Lin Shi
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Correspondence: (H.Z.); (L.S.); (A.Y.)
| | - Anchao Yang
- Department of Functional Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Correspondence: (H.Z.); (L.S.); (A.Y.)
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van Wijk BCM, Neumann WJ, Kroneberg D, Horn A, Irmen F, Sander TH, Wang Q, Litvak V, Kühn AA. Functional connectivity maps of theta/alpha and beta coherence within the subthalamic nucleus region. Neuroimage 2022; 257:119320. [PMID: 35580809 DOI: 10.1016/j.neuroimage.2022.119320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/29/2022] Open
Abstract
The subthalamic nucleus (STN) is a primary target for deep brain stimulation in Parkinson's disease (PD). Although small in size, the STN is commonly partitioned into sensorimotor, cognitive/associative, and limbic subregions based on its structural connectivity profile to cortical areas. We investigated whether such a regional specialization is also supported by functional connectivity between local field potential recordings and simultaneous magnetoencephalography. Using a novel data set of 21 PD patients, we replicated previously reported cortico-STN coherence networks in the theta/alpha and beta frequency ranges, and looked for the spatial distribution of these networks within the STN region. Although theta/alpha and beta coherence peaks were both observed in on-medication recordings from electrode contacts at several locations within and around the STN, sites with theta/alpha coherence peaks were situated at significantly more inferior MNI coordinates than beta coherence peaks. Sites with only theta/alpha coherence peaks, i.e. without distinct beta coherence, were mostly located near the border of sensorimotor and cognitive/associative subregions as defined by a tractography-based atlas of the STN. Peak coherence values were largely unaltered by the medication state of the subject, however, theta/alpha peaks were more often identified in recordings obtained after administration of dopaminergic medication. Our findings suggest the existence of a frequency-specific topography of cortico-STN coherence within the STN, albeit with considerable spatial overlap between functional networks. Consequently, optimization of deep brain stimulation targeting might remain a trade-off between alleviating motor symptoms and avoiding adverse neuropsychiatric side effects.
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Affiliation(s)
- Bernadette C M van Wijk
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands; Integrative Model-based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, the Netherlands; Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Wellcome Centre for Human Neuroimaging, University College London, UK.
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Daniel Kroneberg
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, USA; MGH Neurosurgery & Center for Neurotechnology and Neurorecovery (CNTR), MGH Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Friederike Irmen
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | | | - Qiang Wang
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Vladimir Litvak
- Wellcome Centre for Human Neuroimaging, University College London, UK
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; NeuroCure Clinical Research Centre, Charité - Universitätsmedizin Berlin, Germany; DZNE, German Center for Degenerative Diseases, Berlin, Germany
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Andree A, Li N, Butenko K, Kober M, Chen JZ, Higuchi T, Fauser M, Storch A, Ip CW, Kühn AA, Horn A, van Rienen U. Deep brain stimulation electrode modeling in rats. Exp Neurol 2022; 350:113978. [PMID: 35026227 DOI: 10.1016/j.expneurol.2022.113978] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/13/2021] [Accepted: 01/06/2022] [Indexed: 11/26/2022]
Abstract
Deep Brain Stimulation (DBS) is an efficacious treatment option for an increasing range of brain disorders. To enhance our knowledge about the mechanisms of action of DBS and to probe novel targets, basic research in animal models with DBS is an essential research base. Beyond nonhuman primate, pig, and mouse models, the rat is a widely used animal model for probing DBS effects in basic research. Reconstructing DBS electrode placement after surgery is crucial to associate observed effects with modulating a specific target structure. Post-mortem histology is a commonly used method for reconstructing the electrode location. In humans, however, neuroimaging-based electrode localizations have become established. For this reason, we adapt the open-source software pipeline Lead-DBS for DBS electrode localizations from humans to the rat model. We validate our localization results by inter-rater concordance and a comparison with the conventional histological method. Finally, using the open-source software pipeline OSS-DBS, we demonstrate the subject-specific simulation of the VTA and the activation of axon models aligned to pathways representing neuronal fibers, also known as the pathway activation model. Both activation models yield a characterization of the impact of DBS on the target area. Our results suggest that the proposed neuroimaging-based method can precisely localize DBS electrode placements that are essentially rater-independent and yield results comparable to the histological gold standard. The advantages of neuroimaging-based electrode localizations are the possibility of acquiring them in vivo and combining electrode reconstructions with advanced imaging metrics, such as those obtained from diffusion or functional magnetic resonance imaging (MRI). This paper introduces a freely available open-source pipeline for DBS electrode reconstructions in rats. The presented initial validation results are promising.
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Affiliation(s)
- Andrea Andree
- Institute of General Electrical Engineering, University of Rostock, Albert-Einstein-Straße 2, 18059 Rostock, Germany.
| | - Ningfei Li
- Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany; Berlin Institute of Health, Movement Disorders and Neuromodulation Unit, Department for Neurology, Charitéplatz 1, 10117 Berlin, Germany.
| | - Konstantin Butenko
- Institute of General Electrical Engineering, University of Rostock, Albert-Einstein-Straße 2, 18059 Rostock, Germany.
| | - Maria Kober
- Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147 Rostock, Germany.
| | - Jia Zhi Chen
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany.
| | - Takahiro Higuchi
- Department of Nuclear Medicine and Comprehensive Heart Failure Center, University Hospital of Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany.
| | - Mareike Fauser
- Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147 Rostock, Germany.
| | - Alexander Storch
- Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147 Rostock, Germany; German Centre for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Gehlsheimer, Straße 20, 18147 Rostock, Germany; Department Ageing of Individuals and Society, University of Rostock, Gehlsheimer Straße 20, 18147 Rostock, Germany.
| | - Chi Wang Ip
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany.
| | - Andrea A Kühn
- Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany; Berlin Institute of Health, Movement Disorders and Neuromodulation Unit, Department for Neurology, Charitéplatz 1, 10117 Berlin, Germany.
| | - Andreas Horn
- Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany; Berlin Institute of Health, Movement Disorders and Neuromodulation Unit, Department for Neurology, Charitéplatz 1, 10117 Berlin, Germany.
| | - Ursula van Rienen
- Institute of General Electrical Engineering, University of Rostock, Albert-Einstein-Straße 2, 18059 Rostock, Germany; Department Ageing of Individuals and Society, University of Rostock, Gehlsheimer Straße 20, 18147 Rostock, Germany; Department Life, Light & Matter, University of Rostock, Albert-Einstein-Straße 25, 18059 Rostock, Germany.
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Sobesky L, Goede L, Odekerken VJJ, Wang Q, Li N, Neudorfer C, Rajamani N, Al-Fatly B, Reich M, Volkmann J, de Bie RMA, Kühn AA, Horn A. Subthalamic and pallidal deep brain stimulation: are we modulating the same network? Brain 2021; 145:251-262. [PMID: 34453827 DOI: 10.1093/brain/awab258] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/05/2021] [Accepted: 06/21/2021] [Indexed: 11/14/2022] Open
Abstract
The subthalamic nucleus and internal pallidum are main target sites for deep brain stimulation in Parkinson's disease. Multiple trials that investigated subthalamic versus pallidal stimulation were unable to settle on a definitive optimal target between the two. One reason could be that the effect is mediated via a common functional network. To test this hypothesis, we calculated connectivity profiles seeding from deep brain stimulation electrodes in 94 patients that underwent subthalamic and 28 patients with pallidal treatment based on a normative connectome atlas calculated from 1,000 healthy subjects. In each cohort, we calculated connectivity profiles that were associated with optimal clinical improvements. The two maps showed striking similarity and were able to cross-predict outcomes in the respective other cohort (R = 0.37 at p < 0.001; R = 0.34 at p = 0.032). Next, we calculated an agreement map which retained regions common to both target sites. Crucially, this map was able to explain an additional amount of variance in clinical improvements of either cohort when compared to the maps calculated on the two cohorts alone. Finally, we tested profiles and predictive utility of connectivity maps calculated from different motor symptom subscores with a specific focus on bradykinesia and rigidity. While our study is based on retrospective data and indirect connectivity metrics, it may deliver empirical data to support the hypothesis of a largely overlapping network associated with effective deep brain stimulation in Parkinson's disease irrespective of the specific target.
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Affiliation(s)
- Leon Sobesky
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Lukas Goede
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Vincent J J Odekerken
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Qiang Wang
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Ningfei Li
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Clemens Neudorfer
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Nanditha Rajamani
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Bassam Al-Fatly
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Martin Reich
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany
| | - Rob M A de Bie
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
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Luo B, Lu Y, Qiu C, Dong W, Xue C, Zhang L, Liu W, Zhang W. Altered Spontaneous Neural Activity and Functional Connectivity in Parkinson's Disease With Subthalamic Microlesion. Front Neurosci 2021; 15:699010. [PMID: 34354566 PMCID: PMC8329380 DOI: 10.3389/fnins.2021.699010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background Transient improvement in motor symptoms are immediately observed in patients with Parkinson's disease (PD) after an electrode has been implanted into the subthalamic nucleus (STN) for deep brain stimulation (DBS). This phenomenon is known as the microlesion effect (MLE). However, the underlying mechanisms of MLE is poorly understood. Purpose We utilized resting state functional MRI (rs-fMRI) to evaluate changes in spontaneous brain activity and networks in PD patients during the microlesion period after DBS. Method Overall, 37 PD patients and 13 gender- and age-matched healthy controls (HCs) were recruited for this study. Rs-MRI information was collected from PD patients three days before DBS and one day after DBS, whereas the HCs group was scanned once. We utilized the amplitude of low-frequency fluctuation (ALFF) method in order to analyze differences in spontaneous whole-brain activity among all subjects. Furthermore, functional connectivity (FC) was applied to investigate connections between other brain regions and brain areas with significantly different ALFF before and after surgery in PD patients. Result Relative to the PD-Pre-DBS group, the PD-Post-DBS group had higher ALFF in the right putamen, right inferior frontal gyrus, right precentral gyrus and lower ALFF in right angular gyrus, right precuneus, right posterior cingulate gyrus (PCC), left insula, left middle temporal gyrus (MTG), bilateral middle frontal gyrus and bilateral superior frontal gyrus (dorsolateral). Functional connectivity analysis revealed that these brain regions with significantly different ALFF scores demonstrated abnormal FC, largely in the temporal, prefrontal cortices and default mode network (DMN). Conclusion The subthalamic microlesion caused by DBS in PD was found to not only improve the activity of the basal ganglia-thalamocortical circuit, but also reduce the activity of the DMN and executive control network (ECN) related brain regions. Results from this study provide new insights into the mechanism of MLE.
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Affiliation(s)
- Bei Luo
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Lu
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chang Qiu
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenwen Dong
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenbin Zhang
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Arumugham SS, Srinivas D, Narayanaswamy JC, Jaisoorya TS, Kashyap H, Domenech P, Palfi S, Mallet L, Venkatasubramanian G, Reddy YJ. Identification of biomarkers that predict response to subthalamic nucleus deep brain stimulation in resistant obsessive-compulsive disorder: protocol for an open-label follow-up study. BMJ Open 2021; 11:e047492. [PMID: 34158304 PMCID: PMC8220486 DOI: 10.1136/bmjopen-2020-047492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 05/26/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Deep brain stimulation (DBS) of bilateral anteromedial subthalamic nucleus (amSTN) has been found to be helpful in a subset of patients with severe, chronic and treatment-refractory obsessive-compulsive disorder (OCD). Biomarkers may aid in patient selection and optimisation of this invasive treatment. In this trial, we intend to evaluate neurocognitive function related to STN and related biosignatures as potential biomarkers for STN DBS in OCD. METHODS AND ANALYSIS Twenty-four subjects with treatment-refractory OCD will undergo open-label STN DBS. Structural/functional imaging, electrophysiological recording and neurocognitive assessment would be performed at baseline. The subjects would undergo a structured clinical assessment for 12 months postsurgery. A group of 24 healthy volunteers and 24 subjects with treatment-refractory OCD who receive treatment as usual would be recruited for comparison of biomarkers and treatment response, respectively. Baseline biomarkers would be evaluated as predictors of clinical response. Neuroadaptive changes would be studied through a reassessment of neurocognitive functioning, imaging and electrophysiological activity post DBS. ETHICS AND DISSEMINATION The protocol has been approved by the National Institute of Mental Health and Neurosciences Ethics Committee. The study findings will be disseminated through peer-reviewed scientific journals and scientific meetings.
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Affiliation(s)
- Shyam Sundar Arumugham
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Dwarakanath Srinivas
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Janardhanan C Narayanaswamy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - T S Jaisoorya
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Himani Kashyap
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Philippe Domenech
- Univ Paris-Est Créteil, DMU CARE - Département Médical-Universitaire de Chirurgie et Anesthésie réanimation, DMU IMPACT, Département Médical-Universitaire de Psychiatrie et d'Addictologie, Hôpitaux Universitaires Henri Mondor, Creteil, France
- Univ of Paris 12 UPEC, Faculté de médecine, INSERM U955, Creteil, France
| | - Stéphane Palfi
- Univ Paris-Est Créteil, DMU CARE - Département Médical-Universitaire de Chirurgie et Anesthésie réanimation, DMU IMPACT, Département Médical-Universitaire de Psychiatrie et d'Addictologie, Hôpitaux Universitaires Henri Mondor, Creteil, France
- Univ of Paris 12 UPEC, Faculté de médecine, INSERM U955, Creteil, France
| | - Luc Mallet
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Yc Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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9
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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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10
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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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11
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Li Y, Buch S, He N, Zhang C, Zhang Y, Wang T, Li D, Haacke EM, Yan F. Imaging patients pre and post deep brain stimulation: Localization of the electrodes and their targets. Magn Reson Imaging 2020; 75:34-44. [PMID: 32961237 DOI: 10.1016/j.mri.2020.09.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 07/27/2020] [Accepted: 09/17/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE Deep brain stimulation (DBS) has become a widely performed surgical procedure for patients with medically refractory movement disorders and mental disorders. It is clinically important to set up a MRI protocol to map the brain targets and electrodes of the patients before and after DBS and to understand the imaging artifacts caused by the electrodes. METHODS Five patients with DBS electrodes implanted in the habenula (Hb), fourteen patients with globus pallidus internus (GPi) targeted DBS, three pre-DBS patients and seven healthy controls were included in the study. The MRI protocol consisted of magnetization prepared rapid acquisition gradient echo T1 (MPRAGE T1W), 3D multi-echo gradient recalled echo (ME-GRE) and 2D fast spin echo T2 (FSE T2W) sequences to map the brain targets and electrodes of the patients. Phantom experiments were also run to determine both the artifacts and the susceptibility of the electrodes. Signal to noise ratio (SNR) on T1W, T2W and GRE datasets were measured. The visibility of the brain structures was scored according to the Rose criterion. A detailed analysis of the characteristics of the electrodes in all three sequence types was performed to confirm the reliability of the postoperative MRI approach. In order to understand the signal behavior, we also simulated the corresponding magnitude data using the same imaging parameters as in the phantom sequences. RESULTS The mean ± inter-subject variability of the SNRs, across the subjects for T1W, T2W, and GRE datasets were 20.1 ± 8.1, 14.9 ± 3.2, and 43.0 ± 7.6, respectively. High resolution MPRAGE T1W and FSE T2W data both showed excellent contrast for the habenula and were complementary to each other. The mean visibility of the habenula in the 25 cases for the MPRAGE T1W data was 5.28 ± 1.11; and the mean visibility in the 20 cases for the FSE T2W data was 5.78 ± 1.30. Quantitative susceptibility mapping (QSM), reconstructed from the ME-GRE sequence, provided sufficient contrast to distinguish the substructures of the globus pallidus. The susceptibilities of the GPi and globus pallidus externa (GPe) were 0.087 ± 0.013 ppm and 0.115 ± 0.015 ppm, respectively. FSE T2W sequences provided the best image quality with smallest image blooming of stimulator leads compared to MPRAGE T1W images and GRE sequence images, the measured diameters of electrodes were 1.91 ± 0.22, 2.77 ± 0.22, and 2.72 ± 0.20 mm, respectively. High resolution, high bandwidth and short TE (TE = 2.6 ms) GRE helped constrain the artifacts to the area of the electrodes and the dipole effect seen in the GRE filtered phase data provided an effective mean to locate the end of the DBS lead. CONCLUSION The imaging protocol consisting of MPRAGE T1W, FSE T2W and ME-GRE sequences provided excellent pre- and post-operative visualization of the brain targets and electrodes for patients undergoing DBS treatment. Although the artifacts around the electrodes can be severe, sometimes these same artifacts can be useful in identifying their location.
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Affiliation(s)
- Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Sagar Buch
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chencheng Zhang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yingying Zhang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tao Wang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dianyou Li
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ewart Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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12
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Oishi K, Mori S, Troncoso JC, Lenz FA. Mapping tracts in the human subthalamic area by 11.7T ex vivo diffusion tensor imaging. Brain Struct Funct 2020; 225:1293-1312. [PMID: 32303844 PMCID: PMC7584118 DOI: 10.1007/s00429-020-02066-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 04/03/2020] [Indexed: 02/07/2023]
Abstract
The cortico-basal ganglia-thalamo-cortical feedback loops that consist of distinct white matter pathways are important for understanding in vivo imaging studies of functional and anatomical connectivity, and for localizing subthalamic white matter structures in surgical approaches for movement disorders, such as Parkinson's disease. Connectomic analysis in animals has identified fiber connections between the basal ganglia and thalamus, which pass through the fields of Forel, where other fiber pathways related to motor, sensory, and cognitive functions co-exist. We now report these pathways in the human brain on ex vivo mesoscopic (250 μm) diffusion tensor imaging and on tractography. The locations of the tracts were identified relative to the adjacent gray matter structures, such as the internal and external segments of the globus pallidus; the zona incerta; the subthalamic nucleus; the substantia nigra pars reticulata and compacta; and the thalamus. The connectome atlas of the human subthalamic region may serve as a resource for imaging studies and for neurosurgical planning.
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Affiliation(s)
- Kenichi Oishi
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 208 Traylor Building, 720 Rutland Ave., Baltimore, MD, 21205, USA.
| | - Susumu Mori
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 208 Traylor Building, 720 Rutland Ave., Baltimore, MD, 21205, USA
- Kennedy Krieger Institute, Baltimore, MD, USA
| | - Juan C Troncoso
- Division of Neuropathology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Frederick A Lenz
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Meyer 8181 Neurosurgery, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
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13
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Eleopra R, Rinaldo S, Devigili G, Mondani M, D’Auria S, Lettieri C, Ius T, Skrap M. Frameless Deep Brain Stimulation Surgery: A Single-Center Experience and Retrospective Analysis of Placement Accuracy of 220 Electrodes in a Series of 110 Patients. Stereotact Funct Neurosurg 2020; 97:337-346. [DOI: 10.1159/000503335] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 09/13/2019] [Indexed: 11/19/2022]
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14
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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: 24] [Impact Index Per Article: 6.0] [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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15
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Neudorfer C, Hinzke M, Hunsche S, El Majdoub F, Lozano A, Maarouf M. Combined Deep Brain Stimulation of Subthalamic Nucleus and Ventral Intermediate Thalamic Nucleus in Tremor‐Dominant Parkinson's Disease Using a Parietal Approach. Neuromodulation 2019; 22:493-502. [DOI: 10.1111/ner.12943] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 01/05/2019] [Accepted: 02/06/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Clemens Neudorfer
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
- Division of Neurosurgery, Department of Surgery University of Toronto Toronto ON Canada
| | - Markus Hinzke
- Department of Neurology Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Stefan Hunsche
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Faycal El Majdoub
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Andres Lozano
- Division of Neurosurgery, Department of Surgery University of Toronto Toronto ON Canada
| | - Mohammad Maarouf
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
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16
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Horn A, Li N, Dembek TA, Kappel A, Boulay C, Ewert S, Tietze A, Husch A, Perera T, Neumann WJ, Reisert M, Si H, Oostenveld R, Rorden C, Yeh FC, Fang Q, Herrington TM, Vorwerk J, Kühn AA. Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. Neuroimage 2019; 184:293-316. [PMID: 30179717 PMCID: PMC6286150 DOI: 10.1016/j.neuroimage.2018.08.068] [Citation(s) in RCA: 441] [Impact Index Per Article: 88.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 08/13/2018] [Accepted: 08/28/2018] [Indexed: 01/09/2023] Open
Abstract
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders and a growing number of other indications are investigated in clinical trials. To ensure optimal treatment outcome, exact electrode placement is required. Moreover, to analyze the relationship between electrode location and clinical results, a precise reconstruction of electrode placement is required, posing specific challenges to the field of neuroimaging. Since 2014 the open source toolbox Lead-DBS is available, which aims at facilitating this process. The tool has since become a popular platform for DBS imaging. With support of a broad community of researchers worldwide, methods have been continuously updated and complemented by new tools for tasks such as multispectral nonlinear registration, structural/functional connectivity analyses, brain shift correction, reconstruction of microelectrode recordings and orientation detection of segmented DBS leads. The rapid development and emergence of these methods in DBS data analysis require us to revisit and revise the pipelines introduced in the original methods publication. Here we demonstrate the updated DBS and connectome pipelines of Lead-DBS using a single patient example with state-of-the-art high-field imaging as well as a retrospective cohort of patients scanned in a typical clinical setting at 1.5T. Imaging data of the 3T example patient is co-registered using five algorithms and nonlinearly warped into template space using ten approaches for comparative purposes. After reconstruction of DBS electrodes (which is possible using three methods and a specific refinement tool), the volume of tissue activated is calculated for two DBS settings using four distinct models and various parameters. Finally, four whole-brain tractography algorithms are applied to the patient's preoperative diffusion MRI data and structural as well as functional connectivity between the stimulation volume and other brain areas are estimated using a total of eight approaches and datasets. In addition, we demonstrate impact of selected preprocessing strategies on the retrospective sample of 51 PD patients. We compare the amount of variance in clinical improvement that can be explained by the computer model depending on the preprocessing method of choice. This work represents a multi-institutional collaborative effort to develop a comprehensive, open source pipeline for DBS imaging and connectomics, which has already empowered several studies, and may facilitate a variety of future studies in the field.
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Affiliation(s)
- Andreas Horn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.
| | - Ningfei Li
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Till A Dembek
- Department of Neurology, University Hospital of Cologne, Germany
| | - Ari Kappel
- Wayne State University, Department of Neurosurgery, Detroit, Michigan, USA
| | | | - Siobhan Ewert
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
| | - Anna Tietze
- Institute of Neuroradiology, Charité - University Medicine Berlin, Germany
| | - Andreas Husch
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Interventional Neuroscience Group, Belvaux, Luxembourg
| | - Thushara Perera
- Bionics Institute, East Melbourne, Victoria, Australia; Department of Medical Bionics, University of Melbourne, Parkville, Victoria, Australia
| | - Wolf-Julian Neumann
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany; Institute of Neuroradiology, Charité - University Medicine Berlin, Germany
| | - Marco Reisert
- Medical Physics, Department of Radiology, Faculty of Medicine, University Freiburg, Germany
| | - Hang Si
- Numerical Mathematics and Scientific Computing, Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Germany
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, NL, Netherlands; NatMEG, Karolinska Institutet, Stockholm, SE, Sweden
| | - Christopher Rorden
- McCausland Center for Brain Imaging, University of South Carolina, Columbia, SC, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh PA, USA
| | - Qianqian Fang
- Department of Bioengineering, Northeastern University, Boston, USA
| | - Todd M Herrington
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Johannes Vorwerk
- Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, USA
| | - Andrea A Kühn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany
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17
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Nimbalkar S, Fuhrer E, Silva P, Nguyen T, Sereno M, Kassegne S, Korvink J. Glassy carbon microelectrodes minimize induced voltages, mechanical vibrations, and artifacts in magnetic resonance imaging. MICROSYSTEMS & NANOENGINEERING 2019; 5:61. [PMID: 31754453 PMCID: PMC6859162 DOI: 10.1038/s41378-019-0106-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 06/28/2019] [Accepted: 08/27/2019] [Indexed: 05/07/2023]
Abstract
The recent introduction of glassy carbon (GC) microstructures supported on flexible polymeric substrates has motivated the adoption of GC in a variety of implantable and wearable devices. Neural probes such as electrocorticography and penetrating shanks with GC microelectrode arrays used for neural signal recording and electrical stimulation are among the first beneficiaries of this technology. With the expected proliferation of these neural probes and potential clinical adoption, the magnetic resonance imaging (MRI) compatibility of GC microstructures needs to be established to help validate this potential in clinical settings. Here, we present GC microelectrodes and microstructures-fabricated through the carbon micro-electro-mechanical systems process and supported on flexible polymeric substrates-and carry out experimental measurements of induced vibrations, eddy currents, and artifacts. Through induced vibration, induced voltage, and MRI experiments and finite element modeling, we compared the performances of these GC microelectrodes against those of conventional thin-film platinum (Pt) microelectrodes and established that GC microelectrodes demonstrate superior magnetic resonance compatibility over standard metal thin-film microelectrodes. Specifically, we demonstrated that GC microelectrodes experienced no considerable vibration deflection amplitudes and minimal induced currents, while Pt microelectrodes had significantly larger currents. We also showed that because of their low magnetic susceptibility and lower conductivity, the GC microelectrodes caused almost no susceptibility shift artifacts and no eddy-current-induced artifacts compared to Pt microelectrodes. Taken together, the experimental, theoretical, and finite element modeling establish that GC microelectrodes exhibit significant MRI compatibility, hence demonstrating clear clinical advantages over current conventional thin-film materials, further opening avenues for wider adoption of GC microelectrodes in chronic clinical applications.
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Affiliation(s)
- Surabhi Nimbalkar
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Erwin Fuhrer
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
| | - Pedro Silva
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
| | - Tri Nguyen
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Martin Sereno
- Magnetic Resonance Imaging Lab, San Diego State University, San Diego, CA 92182 USA
| | - Sam Kassegne
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Jan Korvink
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
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18
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Duchin Y, Shamir RR, Patriat R, Kim J, Vitek JL, Sapiro G, Harel N. Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI. PLoS One 2018; 13:e0201469. [PMID: 30133472 PMCID: PMC6104927 DOI: 10.1371/journal.pone.0201469] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 07/15/2018] [Indexed: 01/16/2023] Open
Abstract
Objective Deep brain stimulation (DBS) requires accurate localization of the anatomical target structure, and the precise placement of the DBS electrode within it. Ultra-high field 7 Tesla (T) MR images can be utilized to create patient-specific anatomical 3D models of the subthalamic nuclei (STN) to enhance pre-surgical DBS targeting as well as post-surgical visualization of the DBS lead position and orientation. We validated the accuracy of the 7T imaging-based patient-specific model of the STN and measured the variability of the location and dimensions across movement disorder patients. Methods 72 patients who underwent DBS surgery were scanned preoperatively on 7T MRI. Segmentations and 3D volume rendering of the STN were generated for all patients. For 21 STN-DBS cases, microelectrode recording (MER) was used to validate the segmentation. For 12 cases, we computed the correlation between the overlap of the STN and volume of tissue activated (VTA) and the monopolar review for a further validation of the model’s accuracy and its clinical relevancy. Results We successfully reconstructed and visualized the STN in all patients. Significant variability was found across individuals regarding the location of the STN center of mass as well as its volume, length, depth and width. Significant correlations were found between MER and the 7T imaging-based model of the STN (r = 0.86) and VTA-STN overlap and the monopolar review outcome (r = 0.61). Conclusion The results suggest that an accurate visualization and localization of a patient-specific 3D model of the STN can be generated based on 7T MRI. The imaging-based 7T MRI STN model was validated using MER and patient’s clinical outcomes. The significant variability observed in the STN location and shape based on a large number of patients emphasizes the importance of an accurate direct visualization of the STN for DBS targeting. An accurate STN localization can facilitate postoperative stimulation parameters for optimized patient outcome.
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Affiliation(s)
- Yuval Duchin
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States of America
- Surgical Information Sciences, Minneapolis, MN, United States of America
| | - Reuben R. Shamir
- Surgical Information Sciences, Minneapolis, MN, United States of America
| | - Remi Patriat
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States of America
| | - Jinyoung Kim
- Surgical Information Sciences, Minneapolis, MN, United States of America
- Departments of Electrical & Computer Engineering, Computer Science, Biomedical Engineering and Math, Duke University, Durham, NC, United States of America
| | - Jerrold L. Vitek
- Department of Neurology, University of Minnesota, Minneapolis, MN, United States of America
| | - Guillermo Sapiro
- Departments of Electrical & Computer Engineering, Computer Science, Biomedical Engineering and Math, Duke University, Durham, NC, United States of America
| | - Noam Harel
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States of America
- * E-mail:
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Erhardt JB, Fuhrer E, Gruschke OG, Leupold J, Wapler MC, Hennig J, Stieglitz T, Korvink JG. Should patients with brain implants undergo MRI? J Neural Eng 2018. [DOI: 10.1088/1741-2552/aab4e4] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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20
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Preparation of an Au-Pt alloy free from artifacts in magnetic resonance imaging. Magn Reson Imaging 2017; 44:38-45. [DOI: 10.1016/j.mri.2017.07.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 07/06/2017] [Indexed: 11/20/2022]
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21
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Neudorfer C, Maarouf M. Neuroanatomical background and functional considerations for stereotactic interventions in the H fields of Forel. Brain Struct Funct 2017; 223:17-30. [DOI: 10.1007/s00429-017-1570-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 11/13/2017] [Indexed: 11/29/2022]
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Xia J, He P, Cai X, Zhang D, Xie N. Magnetic resonance and computed tomography image fusion technology in patients with Parkinson's disease after deep brain stimulation. J Neurol Sci 2017; 381:250-255. [PMID: 28991693 DOI: 10.1016/j.jns.2017.08.3267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 08/31/2017] [Accepted: 08/31/2017] [Indexed: 10/18/2022]
Abstract
Electrode position after deep brain stimulation (DBS) for Parkinson's disease (PD) needs to be confirmed, but there are concerns about the risk of postoperative magnetic resonance imaging (MRI) after DBS. These issues could be avoided by fusion images obtained from preoperative MRI and postoperative computed tomography (CT). This study aimed to investigate image fusion technology for displaying the position of the electrodes compared with postoperative MRI. This was a retrospective study of 32 patients with PD treated with bilateral subthalamic nucleus (STN) DBS between April 2015 and March 2016. The postoperative (same day) CT and preoperative MRI were fused using the Elekta Leksell 10.1 planning workstation (Elekta Instruments, Stockholm, Sweden). The position of the electrodes was compared between the fusion images and postoperative 1-2-week MRI. The position of the electrodes was highly correlated between the fusion and postoperative MRI (all r between 0.865 and 0.996; all P<0.001). The differences of the left electrode position in the lateral and vertical planes was significantly different between the two methods (0.30 and 0.24mm, respectively, both P<0.05), but there were no significant differences for the other electrode and planes (all P>0.05). The position of the electrodes was highly correlated between the fusion and postoperative MRI. The CT-MRI fusion images could be used to avoid the potential risks of MRI after DBS in patients with PD.
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Affiliation(s)
- Jun Xia
- Department of Radiology, Shenzhen Second People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China
| | - Pin He
- Department of Radiology, Shenzhen Second People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China
| | - Xiaodong Cai
- Department of Neurosurgery, Shenzhen Second People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China
| | - Doudou Zhang
- Department of Neurosurgery, Shenzhen Second People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China
| | - Ni Xie
- Central Laboratory, Shenzhen Second People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China.
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Weight gain after subthalamic nucleus deep brain stimulation in Parkinson’s disease is influenced by dyskinesias’ reduction and electrodes’ position. Neurol Sci 2017; 38:2123-2129. [DOI: 10.1007/s10072-017-3102-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/23/2017] [Indexed: 12/19/2022]
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Akram H, Sotiropoulos SN, Jbabdi S, Georgiev D, Mahlknecht P, Hyam J, Foltynie T, Limousin P, De Vita E, Jahanshahi M, Hariz M, Ashburner J, Behrens T, Zrinzo L. Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson's disease. Neuroimage 2017; 158:332-345. [PMID: 28711737 DOI: 10.1016/j.neuroimage.2017.07.012] [Citation(s) in RCA: 160] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Revised: 07/05/2017] [Accepted: 07/09/2017] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES Firstly, to identify subthalamic region stimulation clusters that predict maximum improvement in rigidity, bradykinesia and tremor, or emergence of side-effects; and secondly, to map-out the cortical fingerprint, mediated by the hyperdirect pathways which predict maximum efficacy. METHODS High angular resolution diffusion imaging in twenty patients with advanced Parkinson's disease was acquired prior to bilateral subthalamic nucleus deep brain stimulation. All contacts were screened one-year from surgery for efficacy and side-effects at different amplitudes. Voxel-based statistical analysis of volumes of tissue activated models was used to identify significant treatment clusters. Probabilistic tractography was employed to identify cortical connectivity patterns associated with treatment efficacy. RESULTS All patients responded well to treatment (46% mean improvement off medication UPDRS-III [p < 0.0001]) without significant adverse events. Cluster corresponding to maximum improvement in tremor was in the posterior, superior and lateral portion of the nucleus. Clusters corresponding to improvement in bradykinesia and rigidity were nearer the superior border in a further medial and posterior location. The rigidity cluster extended beyond the superior border to the area of the zona incerta and Forel-H2 field. When the clusters where averaged, the coordinates of the area with maximum overall efficacy was X = -10(-9.5), Y = -13(-1) and Z = -7(-3) in MNI(AC-PC) space. Cortical connectivity to primary motor area was predictive of higher improvement in tremor; whilst that to supplementary motor area was predictive of improvement in bradykinesia and rigidity; and connectivity to prefrontal cortex was predictive of improvement in rigidity. INTERPRETATION These findings support the presence of overlapping stimulation sites within the subthalamic nucleus and its superior border, with different cortical connectivity patterns, associated with maximum improvement in tremor, rigidity and bradykinesia.
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Affiliation(s)
- Harith Akram
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK.
| | - Stamatios N Sotiropoulos
- Centre for Functional MRI of the Brain (FMRIB), John Radcliffe Hospital, Oxford, OX3 9DU, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK
| | - Saad Jbabdi
- Centre for Functional MRI of the Brain (FMRIB), John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Dejan Georgiev
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Philipp Mahlknecht
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Jonathan Hyam
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - Thomas Foltynie
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Patricia Limousin
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Enrico De Vita
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, UK
| | - Marjan Jahanshahi
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Marwan Hariz
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK; Department of Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - John Ashburner
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Tim Behrens
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK; Centre for Functional MRI of the Brain (FMRIB), John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
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Themistocleous MS, Sakas DE, Boviatsis E, Tagaris G, Kouyialis A, Psachoulia C, Stathis P. The Insertion of Electrodes in the Brain for Electrophysiological Recording or Chronic Stimulation Is Not Associated With Any Biochemically Detectable Neuronal Injury. Neuromodulation 2017; 20:424-428. [PMID: 28393415 DOI: 10.1111/ner.12598] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Revised: 01/29/2017] [Accepted: 02/15/2017] [Indexed: 01/29/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the degree of brain tissue injury that could be potentially induced by the introduction of a) microrecording electrodes, b) macrostimulation electrodes, or c) chronic stimulation electrodes. We aimed to evaluate whether the use of five simultaneous microrecording tracks is associated with any brain injury not detectable by conventional imaging such as CT or MRI. MATERIALS AND METHODS The study included 61 patients who underwent surgery for implantation of 121 DBS leads. In all cases, five simultaneous tracts were utilized for microelectrode recordings. All patients underwent measurements of serum S-100b at specific time points as follows: a) prior to the operation, and b) intraoperatively at specific stages of the procedure: 1) after opening the burr hole, 2) after the insertion of microrecording electrodes, 3) during macrostimulation, 4) at the end of the operation, and 5) on the first postoperative day. RESULTS The levels of serum S-100B protein remained within the normal range during the entire period of investigation in all patients with the exception of two cases. In both patients, the procedure was complicated by intraparenchymal hemorrhage visible in neuro-imaging. The first patient developed a small intraparenchymal hemorrhage, visible on the postoperative MRI, with no neurological deficit. The second patient experienced a focal epileptic seizure after the insertion of the right DBS chronic lead and the postoperative CT scan revealed a right frontal lobe hemorrhage. CONCLUSION These results strongly indicate that the insertion of either multiple recording electrodes or the implantation of chronic electrodes in DBS does not increase the risk of brain hemorrhage or of other intracranial complications, and furthermore it does not cause any biochemically detectable brain tissue damage.
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Affiliation(s)
- Marios S Themistocleous
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece.,P. Kokkalis Hellenic Center for Neurosurgical Research, Athens, Greece
| | - Damianos E Sakas
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece.,P. Kokkalis Hellenic Center for Neurosurgical Research, Athens, Greece
| | - Efstathios Boviatsis
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece.,P. Kokkalis Hellenic Center for Neurosurgical Research, Athens, Greece
| | - George Tagaris
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece.,P. Kokkalis Hellenic Center for Neurosurgical Research, Athens, Greece
| | - Andreas Kouyialis
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece
| | | | - Pantelis Stathis
- Department of Neurosurgery, University of Athens Medical School, "Evangelismos" Hospital, Athens, Greece.,P. Kokkalis Hellenic Center for Neurosurgical Research, Athens, Greece
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Park SC, Lee CS, Kim SM, Choi EJ, Lee JK. Comparison of the Stereotactic Accuracies of Function-Guided Deep Brain Stimulation, Calculated Using Multitrack Target Locations Geometrically Inferred from Three-Dimensional Trajectory Rotations, and of Magnetic Resonance Imaging-Guided Deep Brain Stimulation and Outcomes. World Neurosurg 2017; 98:734-749.e7. [DOI: 10.1016/j.wneu.2016.11.046] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 11/08/2016] [Accepted: 11/10/2016] [Indexed: 12/26/2022]
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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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Verhagen R, Schuurman PR, van den Munckhof P, Contarino MF, de Bie RMA, Bour LJ. Comparative study of microelectrode recording-based STN location and MRI-based STN location in low to ultra-high field (7.0 T) T2-weighted MRI images. J Neural Eng 2016; 13:066009. [DOI: 10.1088/1741-2560/13/6/066009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Zhang J, Gao Y, Wang L, Tang Z, Xia JJ, Shen D. Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans Biomed Eng 2016; 63:1820-1829. [PMID: 26625402 PMCID: PMC4879598 DOI: 10.1109/tbme.2015.2503421] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The goal of this paper is to automatically digitize craniomaxillofacial (CMF) landmarks efficiently and accurately from cone-beam computed tomography (CBCT) images, by addressing the challenge caused by large morphological variations across patients and image artifacts of CBCT images. METHODS We propose a segmentation-guided partially-joint regression forest (S-PRF) model to automatically digitize CMF landmarks. In this model, a regression voting strategy is first adopted to localize each landmark by aggregating evidences from context locations, thus potentially relieving the problem caused by image artifacts near the landmark. Second, CBCT image segmentation is utilized to remove uninformative voxels caused by morphological variations across patients. Third, a partially-joint model is further proposed to separately localize landmarks based on the coherence of landmark positions to improve the digitization reliability. In addition, we propose a fast vector quantization method to extract high-level multiscale statistical features to describe a voxel's appearance, which has low dimensionality, high efficiency, and is also invariant to the local inhomogeneity caused by artifacts. RESULTS Mean digitization errors for 15 landmarks, in comparison to the ground truth, are all less than 2 mm. CONCLUSION Our model has addressed challenges of both interpatient morphological variations and imaging artifacts. Experiments on a CBCT dataset show that our approach achieves clinically acceptable accuracy for landmark digitalization. SIGNIFICANCE Our automatic landmark digitization method can be used clinically to reduce the labor cost and also improve digitalization consistency.
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Affiliation(s)
- Jun Zhang
- Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, USA ()
| | - Yaozong Gao
- Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Li Wang
- Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, USA
| | - Zhen Tang
- Houston Methodist Hospital, Houston, TX, USA
| | - James J. Xia
- Houston Methodist Hospital, Houston, TX, USA
- Weill Medical College, Cornell University, New York, USA
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, USA
- Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
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Saleh C, Dooms G, Berthold C, Hertel F. Post-operative imaging in deep brain stimulation: A controversial issue. Neuroradiol J 2016; 29:244-9. [PMID: 27029393 PMCID: PMC4978322 DOI: 10.1177/1971400916639960] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
In deep brain stimulation (DBS), post-operative imaging has been used on the one hand to assess complications, such as haemorrhage; and on the other hand, to detect misplaced contacts. The post-operative determination of the accurate location of the final electrode plays a critical role in evaluating the precise area of effective stimulation and for predicting the potential clinical outcome; however, safety remains a priority in postoperative DBS imaging. A plethora of diverse post-operative imaging methods have been applied at different centres. There is neither a consensus on the most efficient post-operative imaging methodology, nor is there any standardisation for the automatic or manual analysis of the images within the different imaging modalities. In this article, we give an overview of currently applied post-operative imaging modalities and discuss the current challenges in post-operative imaging in DBS.
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Affiliation(s)
- Christian Saleh
- Department of Neurology, Centre Hospitalier de Luxembourg, Luxembourg
| | - Georges Dooms
- Department of Neuroradiology, Centre Hospitalier de Luxembourg, Luxembourg
| | | | - Frank Hertel
- Department of Neurosurgery, Centre Hospitalier de Luxembourg, Luxembourg
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Hyam JA, Akram H, Foltynie T, Limousin P, Hariz M, Zrinzo L. What You See Is What You Get: Lead Location Within Deep Brain Structures Is Accurately Depicted by Stereotactic Magnetic Resonance Imaging. Neurosurgery 2016; 11 Suppl 3:412-9; discussion 419. [PMID: 26087006 DOI: 10.1227/neu.0000000000000848] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI)-verified deep brain stimulation relies on the correct interpretation of stereotactic imaging documenting lead location in relation to visible anatomic target. However, it has been suggested that local signal distortion from the lead itself renders its depiction on MRI unreliable. OBJECTIVE To compare lead location on stereotactic MRI with subsequent location of its brain track after removal. METHODS Patients underwent deep brain stimulation with the use of MRI-guided and MRI-verified Leksell frame approach. Infection or suboptimal efficacy required lead removal and subsequent reimplantation by using the same technique. Postimplantation stereotactic MR images were analyzed. Lateral (x) and anteroposterior (y) distances from midcommissural point to center of the lead hypointensity were recorded at the anterior commissure-posterior commissure plane (pallidal electrode) or z = -4 (subthalamic electrode). Stereotactic MRI before the second procedure, x and y distances from the center of the visible lead track hypointensity to midcommissural point were independently recorded. Vectorial distance from center of the lead hypointensity to the center of its track was calculated. RESULTS Sixteen electrode tracks were studied in 10 patients. Mean differences between lead artifact location and lead track location were: x coordinate 0.4 mm ± 0.2; y coordinate 0.6 mm ± 0.3. Mean vectorial distance was 0.7 mm ± 0.2. CONCLUSION Stereotactic distance between lead location and subsequent brain track location on MRI was small. The mean discrepancy was approximately half the deep brain stimulation lead width. This suggests that lead hypointensity seen on postimplantation MRI is indeed an accurate representation of its real location within deep brain structures.
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Affiliation(s)
- Jonathan A Hyam
- *Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience & Movement Disorders, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom; ‡Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom; §Department of Clinical Neuroscience, Umeå University, Umeå, Sweden
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Pallavaram S, DʼHaese PF, Lake W, Konrad PE, Dawant BM, Neimat JS. Fully automated targeting using nonrigid image registration matches accuracy and exceeds precision of best manual approaches to subthalamic deep brain stimulation targeting in Parkinson disease. Neurosurgery 2015; 76:756-65. [PMID: 25988929 DOI: 10.1227/neu.0000000000000714] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Finding the optimal location for the implantation of the electrode in deep brain stimulation (DBS) surgery is crucial for maximizing the therapeutic benefit to the patient. Such targeting is challenging for several reasons, including anatomic variability between patients as well as the lack of consensus about the location of the optimal target. OBJECTIVE To compare the performance of popular manual targeting methods against a fully automatic nonrigid image registration-based approach. METHODS In 71 Parkinson disease subthalamic nucleus (STN)-DBS implantations, an experienced functional neurosurgeon selected the target manually using 3 different approaches: indirect targeting using standard stereotactic coordinates, direct targeting based on the patient magnetic resonance imaging, and indirect targeting relative to the red nucleus. Targets were also automatically predicted by using a leave-one-out approach to populate the CranialVault atlas with the use of nonrigid image registration. The different targeting methods were compared against the location of the final active contact, determined through iterative clinical programming in each individual patient. RESULTS Targeting by using standard stereotactic coordinates corresponding to the center of the motor territory of the STN had the largest targeting error (3.69 mm), followed by direct targeting (3.44 mm), average stereotactic coordinates of active contacts from this study (3.02 mm), red nucleus-based targeting (2.75 mm), and nonrigid image registration-based automatic predictions using the CranialVault atlas (2.70 mm). The CranialVault atlas method had statistically smaller variance than all manual approaches. CONCLUSION Fully automatic targeting based on nonrigid image registration with the use of the CranialVault atlas is as accurate and more precise than popular manual methods for STN-DBS.
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Affiliation(s)
- Srivatsan Pallavaram
- *Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee; ‡Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee
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Advanced target identification in STN-DBS with beta power of combined local field potentials and spiking activity. J Neurosci Methods 2015; 253:116-25. [DOI: 10.1016/j.jneumeth.2015.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 06/05/2015] [Accepted: 06/08/2015] [Indexed: 01/04/2023]
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Schönecker T, Gruber D, Kivi A, Müller B, Lobsien E, Schneider GH, Kühn AA, Hoffmann KT, Kupsch AR. Postoperative MRI localisation of electrodes and clinical efficacy of pallidal deep brain stimulation in cervical dystonia. J Neurol Neurosurg Psychiatry 2015; 86:833-9. [PMID: 25253870 DOI: 10.1136/jnnp-2014-308159] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Accepted: 08/28/2014] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Pallidal deep brain stimulation (DBS) has been shown to be effective in cervical dystonia (CD) with an improvement of about 50-60% in the Toronto Western Spasmodic Torticollis Rating (TWSTR) Scale. However, predictive factors for the efficacy of DBS in CD are missing with the anatomical location of the electrodes being one of the most important potential predictive factors. METHODS In the present blinded observational study we correlated the anatomical localisation of DBS contacts with the relative clinical improvement (CI %) in the TWSTR as achieved by DBS at different pallidal contacts in 20 patients with CD. Localisations of DBS contacts were derived from postoperative MRI-data following anatomical normalisation into the standard Montreal Neurological Institute stereotactic space. The CIs following 76 bilateral test stimulations of 24 h were mapped to stereotactic coordinates of the corresponding bilateral 152 active contacts and were allocated to low CI (<30%; n=74), intermediate CI (≥30%; <60%; n=52) or high CI (≥60%; n=26). RESULTS Euclidean distances between contacts and the centroid differed between the three clusters (p<0.001) indicating different anatomical variances between clusters. The Euclidean distances between contacts and the centroid of the cluster with high CIs correlated with the individual level of CIs (r=-0.61; p<0.0001). This relationship was best fitted with an exponential regression curve (r(2)=0.41). DISCUSSION Our data show that the clinical effect of pallidal DBS on CD displays an exponential decay over anatomical distance from an optimised target localisation within a subregion of the internal pallidum. The results will allow a comparison of future DBS studies with postoperative MRI by verifying optimised (for instance pallidal) targeting in DBS-treated patients.
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Affiliation(s)
- Thomas Schönecker
- Department of Neurology, Charité, University Medicine Berlin, Germany Klinikum Bremeraven, Germany
| | - Doreen Gruber
- Department of Neurology, Charité, University Medicine Berlin, Germany Movement Disorder Clinic Beelitz Heilstätten, Germany
| | - Anatol Kivi
- Department of Neurology, Charité, University Medicine Berlin, Germany Department of Neurology, Vivantes Clinic Berlin Spandau, Germany
| | - Bianca Müller
- Department of Neurology, Charité, University Medicine Berlin, Germany Department of Neurology, Vivantes Clinic Berlin Spandau, Germany
| | - Elmar Lobsien
- Department of Neurology, Charité, University Medicine Berlin, Germany Department of Neurology, Helios Clinic, Erfurt, Germany
| | | | - Andrea A Kühn
- Department of Neurology, Charité, University Medicine Berlin, Germany
| | - Karl-Titus Hoffmann
- Department of Neuroradiology, University of Leipzig, Germany Department of Neuroradiology, Charité, University Medicine, Berlin, Germany
| | - Andreas R Kupsch
- Department of Neurology, Charité, University Medicine Berlin, Germany Departments of Neurology and Stereotactic Neurosurgery, Magdeburg, Germany
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Van Den Berge N, Vanhove C, Descamps B, Dauwe I, van Mierlo P, Vonck K, Keereman V, Raedt R, Boon P, Van Holen R. Functional MRI during Hippocampal Deep Brain Stimulation in the Healthy Rat Brain. PLoS One 2015; 10:e0133245. [PMID: 26193653 PMCID: PMC4508110 DOI: 10.1371/journal.pone.0133245] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 06/24/2015] [Indexed: 01/12/2023] Open
Abstract
Deep Brain Stimulation (DBS) is a promising treatment for neurological and psychiatric disorders. The mechanism of action and the effects of electrical fields administered to the brain by means of an electrode remain to be elucidated. The effects of DBS have been investigated primarily by electrophysiological and neurochemical studies, which lack the ability to investigate DBS-related responses on a whole-brain scale. Visualization of whole-brain effects of DBS requires functional imaging techniques such as functional Magnetic Resonance Imaging (fMRI), which reflects changes in blood oxygen level dependent (BOLD) responses throughout the entire brain volume. In order to visualize BOLD responses induced by DBS, we have developed an MRI-compatible electrode and an acquisition protocol to perform DBS during BOLD fMRI. In this study, we investigate whether DBS during fMRI is valuable to study local and whole-brain effects of hippocampal DBS and to investigate the changes induced by different stimulation intensities. Seven rats were stereotactically implanted with a custom-made MRI-compatible DBS-electrode in the right hippocampus. High frequency Poisson distributed stimulation was applied using a block-design paradigm. Data were processed by means of Independent Component Analysis. Clusters were considered significant when p-values were <0.05 after correction for multiple comparisons. Our data indicate that real-time hippocampal DBS evokes a bilateral BOLD response in hippocampal and other mesolimbic structures, depending on the applied stimulation intensity. We conclude that simultaneous DBS and fMRI can be used to detect local and whole-brain responses to circuit activation with different stimulation intensities, making this technique potentially powerful for exploration of cerebral changes in response to DBS for both preclinical and clinical DBS.
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Affiliation(s)
- Nathalie Van Den Berge
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
- * E-mail:
| | - Christian Vanhove
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
| | - Benedicte Descamps
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
| | - Ine Dauwe
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology, Ghent University Hospital, Ghent, Belgium
| | - Pieter van Mierlo
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
| | - Kristl Vonck
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology, Ghent University Hospital, Ghent, Belgium
| | - Vincent Keereman
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
| | - Robrecht Raedt
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology, Ghent University Hospital, Ghent, Belgium
| | - Paul Boon
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology, Ghent University Hospital, Ghent, Belgium
| | - Roel Van Holen
- Medical Image and Signal Processing Group, Ghent University-iMinds Medical IT department, Ghent, Belgium
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Barnaure I, Pollak P, Momjian S, Horvath J, Lovblad KO, Boëx C, Remuinan J, Burkhard P, Vargas MI. Evaluation of electrode position in deep brain stimulation by image fusion (MRI and CT). Neuroradiology 2015; 57:903-8. [PMID: 26022355 DOI: 10.1007/s00234-015-1547-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 05/21/2015] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Imaging has an essential role in the evaluation of correct positioning of electrodes implanted for deep brain stimulation (DBS). Although MRI offers superior anatomic visualization of target sites, there are safety concerns in patients with implanted material; imaging guidelines are inconsistent and vary. The fusion of postoperative CT with preoperative MRI images can be an alternative for the assessment of electrode positioning. The purpose of this study was to assess the accuracy of measurements realized on fused images (acquired without a stereotactic frame) using a manufacturer-provided software. METHODS Data from 23 Parkinson's disease patients who underwent bilateral electrode placement for subthalamic nucleus (STN) DBS were acquired. Preoperative high-resolution T2-weighted sequences at 3 T, and postoperative CT series were fused using a commercially available software. Electrode tip position was measured on the obtained images in three directions (in relation to the midline, the AC-PC line and an AC-PC line orthogonal, respectively) and assessed in relation to measures realized on postoperative 3D T1 images acquired at 1.5 T. RESULTS Mean differences between measures carried out on fused images and on postoperative MRI lay between 0.17 and 0.97 mm. CONCLUSION Fusion of CT and MRI images provides a safe and fast technique for postoperative assessment of electrode position in DBS.
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Affiliation(s)
- I Barnaure
- Department of Neuroradiology, Geneva University Hospital, Gabrielle Perret Gentil, 4, 1211, Geneva 14, Switzerland
| | - P Pollak
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - S Momjian
- Department of Neurosurgery, Geneva University Hospital, Geneva, Switzerland
| | - J Horvath
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - K O Lovblad
- Department of Neuroradiology, Geneva University Hospital, Gabrielle Perret Gentil, 4, 1211, Geneva 14, Switzerland
| | - C Boëx
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - J Remuinan
- Department of Radiology, Geneva University Hospital, Geneva, Switzerland
| | - P Burkhard
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - M I Vargas
- Department of Neuroradiology, Geneva University Hospital, Gabrielle Perret Gentil, 4, 1211, Geneva 14, Switzerland.
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van Dijk KJ, Verhagen R, Chaturvedi A, McIntyre CC, Bour LJ, Heida C, Veltink PH. A novel lead design enables selective deep brain stimulation of neural populations in the subthalamic region. J Neural Eng 2015; 12:046003. [PMID: 26020096 DOI: 10.1088/1741-2560/12/4/046003] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Huhdanpaa H, Hwang DH, Gasparian GG, Booker MT, Cen Y, Lerner A, Boyko OB, Go JL, Kim PE, Rajamohan A, Law M, Shiroishi MS. Image coregistration: quantitative processing framework for the assessment of brain lesions. J Digit Imaging 2015; 27:369-79. [PMID: 24395597 DOI: 10.1007/s10278-013-9655-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The quantitative, multiparametric assessment of brain lesions requires coregistering different parameters derived from MRI sequences. This will be followed by analysis of the voxel values of the ROI within the sequences and calculated parametric maps, and deriving multiparametric models to classify imaging data. There is a need for an intuitive, automated quantitative processing framework that is generalized and adaptable to different clinical and research questions. As such flexible frameworks have not been previously described, we proceeded to construct a quantitative post-processing framework with commonly available software components. Matlab was chosen as the programming/integration environment, and SPM was chosen as the coregistration component. Matlab routines were created to extract and concatenate the coregistration transforms, take the coregistered MRI sequences as inputs to the process, allow specification of the ROI, and store the voxel values to the database for statistical analysis. The functionality of the framework was validated using brain tumor MRI cases. The implementation of this quantitative post-processing framework enables intuitive creation of multiple parameters for each voxel, facilitating near real-time in-depth voxel-wise analysis. Our initial empirical evaluation of the framework is an increased usage of analysis requiring post-processing and increased number of simultaneous research activities by clinicians and researchers with non-technical backgrounds. We show that common software components can be utilized to implement an intuitive real-time quantitative post-processing framework, resulting in improved scalability and increased adoption of post-processing needed to answer important diagnostic questions.
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Affiliation(s)
- Hannu Huhdanpaa
- Department of Radiology, University of Southern California, 1500 San Pablo Street, Second Floor Imaging, Los Angeles, CA, 90033, USA,
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Tommasi G, Fiorio M, Yelnik J, Krack P, Sala F, Schmitt E, Fraix V, Bertolasi L, Le Bas JF, Ricciardi GK, Fiaschi A, Theeuwes J, Pollak P, Chelazzi L. Disentangling the Role of Cortico-Basal Ganglia Loops in Top-Down and Bottom-Up Visual Attention: An Investigation of Attention Deficits in Parkinson Disease. J Cogn Neurosci 2014; 27:1215-37. [PMID: 25514652 DOI: 10.1162/jocn_a_00770] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
It is solidly established that top-down (goal-driven) and bottom-up (stimulus-driven) attention mechanisms depend on distributed cortical networks, including prefrontal and frontoparietal regions. On the other hand, it is less clear whether the BG also contribute to one or the other of these mechanisms, or to both. The current study was principally undertaken to clarify this issue. Parkinson disease (PD), a neurodegenerative disorder primarily affecting the BG, has proven to be an effective model for investigating the contribution of the BG to different brain functions; therefore, we set out to investigate deficits of top-down and bottom-up attention in a selected cohort of PD patients. With this objective in mind, we compared the performance on three computerized tasks of two groups of 12 parkinsonian patients (assessed without any treatment), one otherwise pharmacologically treated and the other also surgically treated, with that of a group of controls. The main behavioral tool for our study was an attentional capture task, which enabled us to tap the competition between top-down and bottom-up mechanisms of visual attention. This task was suitably combined with a choice RT and a simple RT task to isolate any specific deficit of attention from deficits in motor response selection and initiation. In the two groups of patients, we found an equivalent increase of attentional capture but also comparable delays in target selection in the absence of any salient distractor (reflecting impaired top-down mechanisms) and movement initiation compared with controls. In contrast, motor response selection processes appeared to be prolonged only in the operated patients. Our results confirm that the BG are involved in both motor and cognitive domains. Specifically, damage to the BG, as it occurs in PD, leads to a distinct deficit of top-down control of visual attention, and this can account, albeit indirectly, for the enhancement of attentional capture, reflecting weakened ability of top-down mechanisms to antagonize bottom-up control.
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Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations. Neuroimage 2014; 107:127-135. [PMID: 25498389 DOI: 10.1016/j.neuroimage.2014.12.002] [Citation(s) in RCA: 414] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 11/30/2014] [Accepted: 12/01/2014] [Indexed: 12/20/2022] Open
Abstract
To determine placement of electrodes after deep brain stimulation (DBS) surgery, a novel toolbox that facilitates both reconstruction of the lead electrode trajectory and the contact placement is introduced. Using the toolbox, electrode placement can be reconstructed and visualized based on the electrode-induced artifacts on post-operative magnetic resonance (MR) or computed tomography (CT) images. Correct electrode placement is essential for efficacious treatment with DBS. Post-operative knowledge about the placement of DBS electrode contacts and trajectories is a promising tool for clinical evaluation of DBS effects and adverse effects. It may help clinicians in identifying the best stimulation contacts based on anatomical target areas and may even shorten test stimulation protocols in the future. Fifty patients that underwent DBS surgery were analyzed in this study. After normalizing the post-operative MR/CT volumes into standard Montreal Neurological Institute (MNI)-stereotactic space, electrode leads (n=104) were detected by a novel algorithm that iteratively thresholds each axial slice and isolates the centroids of the electrode artifacts within the MR/CT-images (MR only n=32, CT only n=10, MR and CT n=8). Two patients received four, the others received two quadripolar DBS leads bilaterally, summing up to a total of 120 lead localizations. In a second reconstruction step, electrode contacts along the lead trajectories were reconstructed by using templates of electrode tips that had been manually created beforehand. Reconstructions that were made by the algorithm were finally compared to manual surveys of contact localizations. The algorithm was able to robustly accomplish lead reconstructions in an automated manner in 98% of electrodes and contact reconstructions in 69% of electrodes. Using additional subsequent manual refinement of the reconstructed contact positions, 118 of 120 electrode lead and contact reconstructions could be localized using the toolbox. Taken together, the toolbox presented here allows for a precise and fast reconstruction of DBS contacts by proposing a semi-automated procedure. Reconstruction results can be directly exported to two- and three-dimensional views that show the relationship between DBS contacts and anatomical target regions. The toolbox is made available to the public in form of an open-source MATLAB repository.
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Houshmand L, Cummings KS, Chou KL, Patil PG. Evaluating indirect subthalamic nucleus targeting with validated 3-tesla magnetic resonance imaging. Stereotact Funct Neurosurg 2014; 92:337-45. [PMID: 25358805 DOI: 10.1159/000366286] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Accepted: 08/04/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND/OBJECTIVES Indirect targeting of the subthalamic nucleus (STN) is commonly utilized at deep brain stimulation (DBS) centers around the world. The superiority of either midcommissural point (MCP)-based or red nucleus (RN)-based indirect targeting remains to be established. METHODS The location of the STN was determined and statistically compared to MCP- and RN-based predictions in 58 STN DBS patients, using a validated 3-tesla MRI protocol. The influence of additional neuroanatomical parameters on STN midpoint location was evaluated. Linear regression analysis was utilized to produce an optimized MCP/RN targeting model. Targeting coordinates at 1.5 T were compared to results at 3 T. RESULTS Accuracy and precision for RN-based targeting was superior to MCP-based targeting to predict STN midpoint location for each coordinate dimension (p < 0.01 and p < 0.05, respectively). RN-based targeting was statistically equivalent to an optimized regression-based targeting strategy incorporating multiple neuroanatomical parameters, including third-ventricle width and overall brain size. RN-based targeting at 1.5 T yielded equivalent coordinates to targeting at 3 T. CONCLUSIONS RN-based targeting is statistically superior to MCP-based STN targeting and accommodates broad variations in neuroanatomical parameters. Neurosurgeons utilizing indirect targeting of the STN may consider favoring RN-based over MCP-based indirect targeting methods.
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Affiliation(s)
- Layla Houshmand
- Surgical Therapies Improving Movement Program, University of Michigan, Ann Arbor, Mich., USA
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Said N, Elias WJ, Raghavan P, Cupino A, Tustison N, Frysinger R, Patrie J, Xin W, Wintermark M. Correlation of diffusion tensor tractography and intraoperative macrostimulation during deep brain stimulation for Parkinson disease. J Neurosurg 2014; 121:929-35. [DOI: 10.3171/2014.6.jns131673] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Object
The purpose of this study was to investigate whether diffusion tensor imaging (DTI) of the corticospinal tract (CST) is a reliable surrogate for intraoperative macrostimulation through the deep brain stimulation (DBS) leads. The authors hypothesized that the distance on MRI from the DBS lead to the CST as determined by DTI would correlate with intraoperative motor thresholds from macrostimulations through the same DBS lead.
Methods
The authors retrospectively reviewed pre- and postoperative MRI studies and intraoperative macrostimulation recordings in 17 patients with Parkinson disease (PD) treated by DBS stimulation. Preoperative DTI tractography of the CST was coregistered with postoperative MRI studies showing the position of the DBS leads. The shortest distance and the angle from each contact of each DBS lead to the CST was automatically calculated using software-based analysis. The distance measurements calculated for each contact were evaluated with respect to the intraoperative voltage thresholds that elicited a motor response at each contact.
Results
There was a nonsignificant trend for voltage thresholds to increase when the distances between the DBS leads and the CST increased. There was a significant correlation between the angle and the voltage, but the correlation was weak (coefficient of correlation [R] = 0.36).
Conclusions
Caution needs to be exercised when using DTI tractography information to guide DBS lead placement in patients with PD. Further studies are needed to compare DTI tractography measurements with other approaches such as microelectrode recordings and conventional intraoperative MRI–guided placement of DBS leads.
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Affiliation(s)
| | | | | | - Alan Cupino
- 1Departments of Radiology, Neuroradiology Division
| | | | | | - James Patrie
- 3Public Health Sciences, University of Virginia, Charlottesville, Virginia; and
| | - Wenjun Xin
- 3Public Health Sciences, University of Virginia, Charlottesville, Virginia; and
| | - Max Wintermark
- 1Departments of Radiology, Neuroradiology Division
- 4Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
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Cheung T, Noecker AM, Alterman RL, McIntyre CC, Tagliati M. Defining a therapeutic target for pallidal deep brain stimulation for dystonia. Ann Neurol 2014; 76:22-30. [PMID: 24852850 DOI: 10.1002/ana.24187] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Revised: 05/19/2014] [Accepted: 05/20/2014] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To create a data-driven computational model that identifies brain regions most frequently influenced by successful deep brain stimulation (DBS) of the globus pallidus (GP) for advanced, medication-resistant, generalized dystonia. METHODS We studied a retrospective cohort of 21 DYT1 primary dystonia patients treated for at least 1 year with bilateral pallidal DBS. We first created individual volume of tissue activation (VTA) models utilizing neuroimaging and postoperative stimulation and clinical data. These models were then combined into a standardized probabilistic dystonia stimulation atlas (DSA). Finally, we constructed a candidate target volume from electrodes demonstrating at least 75% improvement in contralateral symptoms, utilizing voxels stimulated by least 75% of these electrodes. RESULTS Pallidal DBS resulted in a median contralateral hemibody improvement of 90% (mean = 83%, standard deviation [SD] = 20) after 1 year of treatment. Individual VTA models of the 42 active electrodes included in the study demonstrated a mean stimulation volume of 501mm ([SD] = 284). The resulting DSA showed that areas most frequently stimulated were located squarely in the middle of the posterior GP, with a common target volume measuring 153mm(3) . INTERPRETATION Our results provide a map of the region of influence of therapeutic DBS for dystonia and represent a potential target to refine current methods of surgical planning and stimulation parameters selection. Based on their role in alleviating symptoms, these regions may also provide anatomical and physiological information relevant to disease models of dystonia. Further experimental and clinical studies will be needed to validate their importance.
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Affiliation(s)
- Tyler Cheung
- Cedars Sinai Medical Center, Department of Neurology, Los Angeles, CA
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Pollo C, Kaelin-Lang A, Oertel MF, Stieglitz L, Taub E, Fuhr P, Lozano AM, Raabe A, Schüpbach M. Directional deep brain stimulation: an intraoperative double-blind pilot study. Brain 2014; 137:2015-26. [DOI: 10.1093/brain/awu102] [Citation(s) in RCA: 238] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Tripoliti E, Limousin P, Foltynie T, Candelario J, Aviles-Olmos I, Hariz MI, Zrinzo L. Predictive factors of speech intelligibility following subthalamic nucleus stimulation in consecutive patients with Parkinson's disease. Mov Disord 2014; 29:532-8. [DOI: 10.1002/mds.25816] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2013] [Revised: 11/13/2013] [Accepted: 12/22/2013] [Indexed: 11/12/2022] Open
Affiliation(s)
- Elina Tripoliti
- Unit of Functional Neurosurgery; University College London (UCL) Institute of Neurology; London United Kingdom
| | - Patricia Limousin
- Sobell Department of Motor Neuroscience and Movement Disorders; UCL Institute of Neurology; London United Kingdom
| | - Tom Foltynie
- Sobell Department of Motor Neuroscience and Movement Disorders; UCL Institute of Neurology; London United Kingdom
| | - Joseph Candelario
- Unit of Functional Neurosurgery; University College London (UCL) Institute of Neurology; London United Kingdom
| | - Iciar Aviles-Olmos
- Unit of Functional Neurosurgery; University College London (UCL) Institute of Neurology; London United Kingdom
| | - Marwan I. Hariz
- Sobell Department of Motor Neuroscience and Movement Disorders; UCL Institute of Neurology; London United Kingdom
- National Hospital for Neurology and Neurosurgery; UCL Institute of Neurology; Queen Square London United Kingdom
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery; University College London (UCL) Institute of Neurology; London United Kingdom
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Merkl A, Schneider GH, Schönecker T, Aust S, Kühl KP, Kupsch A, Kühn AA, Bajbouj M. Antidepressant effects after short-term and chronic stimulation of the subgenual cingulate gyrus in treatment-resistant depression. Exp Neurol 2013; 249:160-8. [DOI: 10.1016/j.expneurol.2013.08.017] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2013] [Revised: 08/22/2013] [Accepted: 08/27/2013] [Indexed: 01/19/2023]
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Abstract
Deep brain stimulation an effective treatment of many neurologic conditions such as Parkinson disease, essential tremor, dystonia, and obsessive-compulsive disorder. Structural and functional neuroimaging studies provide the opportunity to visualize the dysfunctional nodes and networks underlying neurologic and psychiatric disease, and to thereby realize new targets for neuromodulation as well as personalize current therapy. This article reviews contemporary advances in neuroimaging in the basic sciences and how they can be applied to redirect and propel functional neurosurgery toward a goal of functional localization of targets with individualized maps and identification of novel targets for other neuropsychiatric diseases.
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A systematic review of studies on anatomical position of electrode contacts used for chronic subthalamic stimulation in Parkinson's disease. Acta Neurochir (Wien) 2013; 155:1647-54; discussion 1654. [PMID: 23775325 DOI: 10.1007/s00701-013-1782-1] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2013] [Accepted: 05/22/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND The dorso-lateral part of the subthalamic nucleus (STN) is considered as the usual target of deep brain stimulation for Parkinson's disease. Nevertheless, the exact anatomical location of the electrode contacts used for chronic stimulation is still a matter of debate. The aim of this study was to perform a systematic review of the existing literature on this issue. METHOD We searched for studies on the anatomical location of active contacts published until December 2012. RESULTS We identified 13 studies, published between 2002 and 2010, including 260 patients and 466 electrodes. One hundred and sixty-four active contacts (35 %) were identified within the STN, 117 (25 %) at the interface between STN and the surrounding structures, 184 (40 %) above the STN and one within the substantia nigra. We observed great discrepancies between the different series. The contra-lateral improvement was between 37 and 78.5 % for contacts located within the STN, between 48.6 and 73 % outside the STN, between 65.3 and 66 % at the interface. The authors report no clear correlation between anatomical location and stimulation parameters. CONCLUSIONS Post-operative analysis of the anatomical location of active contacts is difficult, and all the methods used are debatable. The relationship between the anatomical location of active contacts and the clinical effectiveness of stimulation is unclear. It would be necessary to take into account the volume of the electrode contacts and the diffusion of the stimulation. We can nevertheless assume that the interface between dorso-lateral STN, zona incerta and Forel's fields could be directly involved in the effects of stimulation.
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Kasasbeh A, Abulseoud OA, Matsumoto JY, Stead SM, Goerss SJ, Klassen BT, Huston J, Min HK, Lee KH, Frye MA. Lack of differential motor outcome with subthalamic nucleus region stimulation in Parkinson's disease. J Clin Neurosci 2013; 20:1520-6. [PMID: 23906524 DOI: 10.1016/j.jocn.2013.02.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Accepted: 02/09/2013] [Indexed: 11/16/2022]
Abstract
Deep brain stimulation (DBS) has emerged as a viable therapy for Parkinson's disease (PD). The impact of subthalamic nucleus (STN) lead placement (lateral versus medial) on motor outcome, however, has not been systematically evaluated. Forty-eight patients with PD underwent STN-DBS surgery and were evaluated postoperatively for 48 weeks for motor improvement as measured by the Unified Parkinson's Disease Rating Scale (UPDRS) part III (standardized motor examination) and levodopa equivalent daily dose (LEDD). Postoperative MRI was used to identify the location of the active stimulating contact and motor outcome was analyzed. STN-DBS was associated with significant improvement in motor outcome as determined by a reduction in the UPDRS part III subscore from 34.44 ± 1.29 at baseline to 18.76 ± 1.06 at end visit (p<0.0001) and a reduction in LEDD from 1721 ± 152 mg/day at baseline to 1134 ± 119 mg/day at end visit (p=0.0024). Patients with stimulating contacts in the medial STN compared to the lateral STN did not demonstrate any significant differences in motor outcome (UPDRS, p=0.5811; LEDD, p=0.7341). No significant differences were found in motor outcome between patients with STN stimulation compared to stimulation of surrounding fiber tracts (p=0.80). No significant difference in stimulation voltage was noted with respect to lead location. Our study did not find a significant effect for the location of active contact and motor outcome neither within the subregions of the STN nor between the STN and surrounding fibers. Further research is needed to better understand the neurophysiological basis for these results.
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Affiliation(s)
- Aimen Kasasbeh
- Department of Neurosurgery, Mayo Clinic, Rochester MN, USA
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A new atlas localization approach for subthalamic nucleus utilizing Chinese visible human head datasets. PLoS One 2013; 8:e57264. [PMID: 23460836 PMCID: PMC3584111 DOI: 10.1371/journal.pone.0057264] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Accepted: 01/18/2013] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To study the possibility of Chinese visible human (CVH) head datasets as brain atlas for locating the subthalamic nucleus (STN) before deep brain stimulation (DBS) surgery. METHODS Optimal head axial and coronal 3.0T, T2-weighted magnetic resonance images (MRI) of 30 patients were obtained. Cross-sectional head images of four CVH head datasets were chosen to establish an average CVH model. All MRI sequences were registered to the CVH model via fiducials in X-, Y-, and Z-direction, respectively, within the same stereotactic space. The correlations between red nucleus (RN) and fiducials, the accuracy of MRI-to-CVH registration, and the coordinate value differences of RN gravity center between MRI and CVH were tested. RESULTS The mean gravity center coordinate values and ranges of STN in CVH were measured; The X coordinate value of RN positively correlates with the most anterior point of putamen(PU-A), the lateral edges of putamens (PU-L), and width of the third ventricle, negatively correlated with the patients' age; The minimal mean errors were when no fiducials were used when locating RN between the MRI and the CVH average model; There were no significant differences of RN in X- and Y-direction between MRI sequences and CVH. CONCLUSION CVH head datasets can be used as brain atlas for Chinese STN localization. Moreover, average coordinate values of the gravity center and the ranges of STN in CVH can be considered as references for locating STN.
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