1
|
Askari A, Lam JLW, Zhu BJ, Lu CW, Chou KL, Wyant KJ, Patil PG. Dorsal subthalamic deep brain stimulation improves pain in Parkinson's disease. FRONTIERS IN PAIN RESEARCH 2023; 4:1240379. [PMID: 37663307 PMCID: PMC10469498 DOI: 10.3389/fpain.2023.1240379] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/02/2023] [Indexed: 09/05/2023] Open
Abstract
Introduction Inconsistent effects of subthalamic deep brain stimulation (STN DBS) on pain, a common non-motor symptom of Parkinson's disease (PD), may be due to variations in active contact location relative to some pain-reducing locus of stimulation. This study models and compares the loci of maximal effect for pain reduction and motor improvement in STN DBS. Methods We measured Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) Part I pain score (item-9), and MDS-UPDRS Part III motor score, preoperatively and 6-12 months after STN DBS. An ordinary least-squares regression model was used to examine active contact location as a predictor of follow-up pain score while controlling for baseline pain, age, dopaminergic medication, and motor improvement. An atlas-independent isotropic electric field model was applied to distinguish sites of maximally effective stimulation for pain and motor improvement. Results In 74 PD patients, mean pain score significantly improved after STN DBS (p = 0.01). In a regression model, more dorsal active contact location was the only significant predictor of pain improvement (R2 = 0.17, p = 0.03). The stimulation locus for maximal pain improvement was lateral, anterior, and dorsal to that for maximal motor improvement. Conclusion STN stimulation, dorsal to the site of optimal motor improvement, improves pain. This region contains the zona incerta, which is known to modulate pain in humans, and may explain this observation.
Collapse
Affiliation(s)
- Asra Askari
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
| | - Jordan L. W. Lam
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
| | - Brandon J. Zhu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Charles W. Lu
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Kelvin L. Chou
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Kara J. Wyant
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Parag G. Patil
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| |
Collapse
|
2
|
Askari A, Greif TR, Lam J, Maher AC, Persad CC, Patil PG. Decline of verbal fluency with lateral superior frontal gyrus penetration in subthalamic nucleus deep brain stimulation for Parkinson disease. J Neurosurg 2022; 137:729-734. [PMID: 35090137 DOI: 10.3171/2021.11.jns211528] [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: 06/24/2021] [Accepted: 11/22/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Verbal fluency (VF) decline is a well-recognized adverse cognitive outcome following subthalamic nucleus deep brain stimulation (STN DBS) in patients with Parkinson disease (PD). The mechanisms underlying VF decline, whether from stimulation, lesioning, or both, remain unclear. This study aims to investigate the unique effects of DBS lead trajectory on VF beyond previously reported effects of active contact location. METHODS The study population included 56 patients with idiopathic PD who underwent bilateral STN DBS. Phonemic and semantic VF scores were compared pre- and postoperatively. Features of the electrode trajectory were measured on postoperative imaging, including distance from the falx cerebri, distance from the superior frontal sulcus, and caudate nucleus penetration. The authors used t-tests, Pearson's correlation, and multiple linear regression analyses to examine the relationship between VF change and demographic, disease, and electrode trajectory variables. RESULTS The laterality of entry within the left superior frontal gyrus (SFG) predicted greater phonemic VF decline (sr2 = 0.28, p < 0.001) after controlling for active contact location. VF change did not differ by the presence of caudate nucleus penetration in either hemisphere (p > 0.05). CONCLUSIONS Lateral penetration of the SFG in the left hemisphere is associated with worsening phonemic VF and has greater explanatory power than active contact location. This may be explained by lesioning of the lateral SFG-Broca area pathway, which is implicated in language function.
Collapse
Affiliation(s)
| | - Taylor R Greif
- 2Department of Psychiatry-Neuropsychology Section, University of Michigan, Ann Arbor, Michigan
| | | | - Amanda C Maher
- 2Department of Psychiatry-Neuropsychology Section, University of Michigan, Ann Arbor, Michigan
| | - Carol C Persad
- 2Department of Psychiatry-Neuropsychology Section, University of Michigan, Ann Arbor, Michigan
| | | |
Collapse
|
3
|
Kluin KJ, Mossner JM, Costello JT, Chou KL, Patil PG. Motor speech effects in subthalamic deep brain stimulation for Parkinson's disease. J Neurosurg 2022; 137:722-728. [PMID: 35090126 PMCID: PMC10193494 DOI: 10.3171/2021.12.jns211729] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/02/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A motor speech disorder or dysarthria commonly arises in patients with Parkinson's disease (PD). The impact of subthalamic nucleus (STN) deep brain stimulation (DBS) on motor speech and the potential of intraoperative motor speech testing to predict outcomes are unknown. This study examined 1) the types and prevalence of motor speech changes observed with STN DBS and their relation to the preoperative condition, 2) the ability of intraoperative testing to predict postoperative changes in motor speech, and 3) the spatial relationship between stimulation sites producing maximal motor improvement, as measured by the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS), and maximal motor speech deterioration. METHODS Comprehensive preoperative, intraoperative, and postoperative motor speech/dysarthria evaluations were performed in consecutive patients with advanced idiopathic PD who underwent STN DBS surgery in the period from 2011 to 2016. Preoperative type of dysarthria and overall dysarthria severity rating along with intraoperative motor speech testing results were evaluated as predictors of postoperative change. Atlas-independent, fully individualized field modeling was used to identify stimulation sites associated with maximal MDS-UPDRS motor improvement and motor speech deterioration. RESULTS Forty-three patients with PD treated with STN DBS were prospectively studied. Improved MDS-UPDRS motor scores and worsened dysarthria were demonstrated by a subset of patients (16/43). Preoperative dysarthria characteristics did not predict postoperative deterioration. Intraoperative assessment of motor speech strongly predicted postoperative outcomes (OR 4.4, p = 0.02). Sites of maximal MDS-UPDRS motor improvement and worsened dysarthria were distinct. Worsened dysarthria was associated with capsular stimulation, anterior and ventral to the site of maximal MDS-UPDRS motor improvement. CONCLUSIONS The predictive reliability of intraoperative motor speech testing, together with the identification of distinct stimulation sites for motor speech impairment and improved MDS-UPDRS motor function, raise the possibility that DBS lead repositioning or reprogramming could reduce adverse effects on motor speech without impacting MDS-UPDRS motor outcomes in patients undergoing STN DBS.
Collapse
Affiliation(s)
| | | | | | | | - Parag G. Patil
- Neurology
- Neurosurgery
- Biomedical Engineering, University of Michigan, Ann Arbor, Michigan
| |
Collapse
|
4
|
Rao AT, Lu CW, Askari A, Malaga KA, Chou KL, Patil PG. Clinically-derived oscillatory biomarker predicts optimal subthalamic stimulation for Parkinson's disease. J Neural Eng 2022; 19. [PMID: 35272281 DOI: 10.1088/1741-2552/ac5c8c] [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: 01/10/2022] [Accepted: 03/10/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Choosing the optimal electrode trajectory, stimulation location, and stimulation amplitude in subthalamic nucleus deep brain stimulation (STN DBS) for Parkinson's disease (PD) remains a time-consuming empirical effort. In this retrospective study, we derive a data-driven electrophysiological biomarker that predicts clinical DBS location and parameters, and we consolidate this information into a quantitative score that may facilitate an objective approach to STN DBS surgery and programming. APPROACH Random-forest feature selection was applied to a dataset of 1046 microelectrode recordings sites across 20 DBS implant trajectories to identify features of oscillatory activity that predict clinically programmed volumes of tissue activation (VTA). A cross-validated classifier was used to retrospectively predict VTA regions from these features. Spatial convolution of probabilistic classifier outputs along MER trajectories produced a biomarker score that reflects the probability of localization within a clinically optimized VTA. MAIN RESULTS Biomarker scores peaked within the VTA region and were significantly correlated with percent improvement in postoperative motor symptoms (MDS-UPRDS Part III, R = 0.61, p = 0.004). Notably, the length of STN, a common criterion for trajectory selection, did not show similar correlation (R = -0.31, p = 0.18). These findings suggest that biomarker-based trajectory selection and programming may improve motor outcomes by 9 ± 3 percentage points (p = 0.047) in this dataset. SIGNIFICANCE A clinically defined electrophysiological biomarker not only predicts VTA size and location but also correlates well with motor outcomes. Use of this biomarker for trajectory selection and initial stimulation may potentially simplify STN DBS surgery and programming.
Collapse
Affiliation(s)
- Akshay T Rao
- Biomedical Engineering, University of Michigan, 1500 East Medical Center Dr., SPC 5338, Ann Arbor, Michigan, 48109-5338, UNITED STATES
| | - Charles W Lu
- Biomedical Engineering, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, Michigan, 48109-5338, UNITED STATES
| | - Asra Askari
- Biomedical Engineering, University of Michigan, 1500 E Medical Center Drive, SPC 5338, Ann Arbor, Ann Arbor, Michigan, 48109-5338, UNITED STATES
| | - Karlo A Malaga
- Biomedical Engineering, Bucknell University, 316 Academic East Building, Lewisburg, Pennsylvania, 17837, UNITED STATES
| | - Kelvin L Chou
- Neurosurgery, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, Michigan, 48109-5338, UNITED STATES
| | - Parag G Patil
- Neurosurgery, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, Michigan, 48109-5338, UNITED STATES
| |
Collapse
|
5
|
Bokulić E, Medenica T, Knezović V, Štajduhar A, Almahariq F, Baković M, Judaš M, Sedmak G. The Stereological Analysis and Spatial Distribution of Neurons in the Human Subthalamic Nucleus. Front Neuroanat 2022; 15:749390. [PMID: 34970124 PMCID: PMC8712451 DOI: 10.3389/fnana.2021.749390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/17/2021] [Indexed: 11/13/2022] Open
Abstract
The subthalamic nucleus (STN) is a small, ovoid structure, and an important site of deep brain stimulation (DBS) for the treatment of Parkinson’s disease. Although the STN is a clinically important structure, there are many unresolved issues with regard to it. These issues are especially related to the anatomical subdivision, neuronal phenotype, neuronal composition, and spatial distribution. In this study, we have examined the expression pattern of 8 neuronal markers [nNOS, NeuN, parvalbumin (PV), calbindin (CB), calretinin (CR), FOXP2, NKX2.1, and PAX6] in the adult human STN. All of the examined markers, except CB, were present in the STN. To determine the neuronal density, we have performed stereological analysis on Nissl-stained and immunohistochemical slides of positive markers. The stereology data were also used to develop a three-dimensional map of the spatial distribution of neurons within the STN. The nNOS population exhibited the largest neuronal density. The estimated total number of nNOS STN neurons is 281,308 ± 38,967 (± 13.85%). The STN neuronal subpopulations can be divided into two groups: one with a neuronal density of approximately 3,300 neurons/mm3 and the other with a neuronal density of approximately 2,200 neurons/mm3. The largest density of STN neurons was observed along the ventromedial border of the STN and the density gradually decreased toward the dorsolateral border. In this study, we have demonstrated the presence of 7 neuronal markers in the STN, three of which were not previously described in the human STN. The human STN is a collection of diverse, intermixed neuronal subpopulations, and our data, as far as the cytoarchitectonics is concerned, did not support the tripartite STN subdivision.
Collapse
Affiliation(s)
- Ema Bokulić
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Tila Medenica
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Vinka Knezović
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Andrija Štajduhar
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia.,School of Public Health "Andrija Štampar," University of Zagreb School of Medicine, Zagreb, Croatia
| | - Fadi Almahariq
- Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia.,Department of Neurosurgery, Clinical Hospital "Dubrava," Zagreb, Croatia
| | - Marija Baković
- Department of Forensic Medicine, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Miloš Judaš
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Goran Sedmak
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| |
Collapse
|
6
|
Askari A, Zhu BJ, Lyu X, Chou KL, Patil PG. Characterization and localization of upper and lower extremity motor improvements in STN DBS for Parkinson's disease. Parkinsonism Relat Disord 2021; 94:84-88. [PMID: 34896928 DOI: 10.1016/j.parkreldis.2021.11.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/02/2021] [Accepted: 11/30/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Subthalamic deep brain stimulation (STN DBS) may have differential effects on cardinal motor signs of Parkinson's disease (PD) in the upper and lower extremities. In addition, sites of maximally effective DBS for each sign and extremity may be distinct. Our study seeks to elucidate these structure-function relationships. METHODS We applied an ordinary least squares linear regression model to measure motor effects of STN DBS on upper (UE) and lower (LE) extremity tremor, rigidity, and bradykinesia. We then applied an atlas-independent electrical-field model to identify sites of maximally effective stimulation for each sign and each extremity. Distances between sites and statistical power to resolve differences were calculated. RESULTS In our study population (n = 78 patients), STN DBS improved all cardinal motor signs (β = 0.64, p < .05). Improvement magnitudes were tremor > rigidity > bradykinesia. Effects of STN DBS on UE versus LE signs were statistically equal for tremor and bradykinesia, but greater for UE rigidity than LE rigidity (β = 0.19, p < .05). UE maximal-effect loci were lateral, anterior, and dorsal to LE loci, but were not statistically resolved, despite sufficient statistical power to resolve differences of ≤0.48 mm (p < .05) between maximally effective loci of stimulation. CONCLUSION STN DBS produces differential effects on UE and LE rigidity, but not for tremor or bradykinesia. This finding is not explained by distinct UE and LE loci of maximally effective stimulation. Instead, we hypothesize that downstream effects of STN DBS on motor networks and limb biomechanics are responsible for observed differences in UE and LE responses.
Collapse
Affiliation(s)
- Asra Askari
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
| | - Brandon J Zhu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Xiru Lyu
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
| | - Kelvin L Chou
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Parag G Patil
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
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.
Collapse
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
| |
Collapse
|
9
|
Malaga KA, Costello JT, Chou KL, Patil PG. Atlas-independent, N-of-1 tissue activation modeling to map optimal regions of subthalamic deep brain stimulation for Parkinson disease. NEUROIMAGE-CLINICAL 2020; 29:102518. [PMID: 33333464 PMCID: PMC7736726 DOI: 10.1016/j.nicl.2020.102518] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 01/13/2023]
Abstract
Neuroanatomical variations among patients are obscured in atlas-based VTA modeling. N-of-1 neuroanatomical and VTA modeling enables patient-level precision. Mean optimal stimulation is dorsomedial to the STN, near its posterior half. Individual VTAs deviate from optimal stimulation sites to varying degrees. Optimal stimulation sites for rigidity, bradykinesia, and tremor partially overlap.
Background Motor outcomes after subthalamic deep brain stimulation (STN DBS) for Parkinson disease (PD) vary considerably among patients and strongly depend on stimulation location. The objective of this retrospective study was to map the regions of optimal STN DBS for PD using an atlas-independent, fully individualized (N-of-1) tissue activation modeling approach and to assess the relationship between patient-level therapeutic volumes of tissue activation (VTAs) and motor improvement. Methods The stimulation-induced electric field for 40 PD patients treated with bilateral STN DBS was modeled using finite element analysis. Neurostimulation models were generated for each patient, incorporating their individual STN anatomy, DBS lead position and orientation, anisotropic tissue conductivity, and clinical stimulation settings. A voxel-based analysis of the VTAs was then used to map the optimal location of stimulation. The amount of stimulation in specific regions relative to the STN was measured and compared between STNs with more and less optimal stimulation, as determined by their motor improvement scores and VTA. The relationship between VTA location and motor outcome was then assessed using correlation analysis. Patient variability in terms of STN anatomy, active contact position, and VTA location were also evaluated. Results from the N-of-1 model were compared to those from a simplified VTA model. Results Tissue activation modeling mapped the optimal location of stimulation to regions medial, posterior, and dorsal to the STN centroid. These regions extended beyond the STN boundary towards the caudal zona incerta (cZI). The location of the VTA and active contact position differed significantly between STNs with more and less optimal stimulation in the dorsal-ventral and anterior-posterior directions. Therapeutic stimulation spread noticeably more in the dorsal and posterior directions, providing additional evidence for cZI as an important DBS target. There were significant linear relationships between the amount of dorsal and posterior stimulation, as measured by the VTA, and motor improvement. These relationships were more robust than those between active contact position and motor improvement. There was high variability in STN anatomy, active contact position, and VTA location among patients. Spherical VTA modeling was unable to reproduce these results and tended to overestimate the size of the VTA. Conclusion Accurate characterization of the spread of stimulation is needed to optimize STN DBS for PD. High variability in neuroanatomy, stimulation location, and motor improvement among patients highlights the need for individualized modeling techniques. The atlas-independent, N-of-1 tissue activation modeling approach presented in this study can be used to develop and evaluate stimulation strategies to improve clinical outcomes on an individual basis.
Collapse
Affiliation(s)
- Karlo A Malaga
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Joseph T Costello
- Department of Electrical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Kelvin L Chou
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
| | - Parag G Patil
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|
10
|
Zolal A, Polanski WH, Klingelhoefer L, Kitzler HH, Linn J, Podlesek D, Sitoci-Ficici KH, Reichmann H, Leonhardt GK, Schackert G, Sobottka SB. Parcellation of the Subthalamic Nucleus in Parkinson's Disease: A Retrospective Analysis of Atlas- and Diffusion-Based Methods. Stereotact Funct Neurosurg 2020; 98:416-423. [PMID: 32966999 DOI: 10.1159/000509780] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 06/22/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Deep brain stimulation (DBS) is an established method of treatment for Parkinson's disease (PD). A stimulation sweet spot at the interface between the motor and associative clusters of the subthalamic nucleus (STN) has recently been postulated. The aim of this study was to analyze the available clustering methods for the STN and their correlation to outcome. METHODS This is a retrospective analysis of a group of 20 patients implanted with a DBS device for PD. Atlas-based and diffusion tractography-based parcellation of the STN was performed. The distances of the electrode to the obtained clusters were compared to each other and to outcome parameters, which included levodopa equivalent dose (LED) reduction, Unified Parkinson's Disease Rating Scale (UPDRS)-III scores, and reduction in scores for items 32 and 36 of the UPDRS-IV. RESULTS The implanted electrodes were located nearest to the motor clusters of the STN. The following significant associations with postoperative LED reduction were found: (1) distance of the electrode to the motor cluster in the Accolla and DISTAL atlases (p < 0.01) and (2) distance of the electrode to the supplementary motor area cluster (p = 0.02). There was no association with either the UPDRS-III or the UPDRS-IV score. CONCLUSIONS The results of this study suggest the possibility that atlas-based clustering, as well as diffusion tractography-based parcellation, can be useful in estimating the stimulation target ("sweet spot") for STN-DBS in PD patients. Atlas-based as well as diffusion-based clustering might become a useful tool in DBS trajectory planning.
Collapse
Affiliation(s)
- Amir Zolal
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany.,Department of Spine Surgery and Neurotraumatology, SRH Wald-Klinikum Gera, Gera, Germany
| | - Witold H Polanski
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany,
| | - Lisa Klingelhoefer
- Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Hagen H Kitzler
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Jennifer Linn
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Dino Podlesek
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Kerim Hakan Sitoci-Ficici
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Georg Karl Leonhardt
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Gabriele Schackert
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Stephan B Sobottka
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| |
Collapse
|
11
|
Mossner JM, Chou KL, Maher AH, Persad CC, Patil PG. Localization of motor and verbal fluency effects in subthalamic DBS for Parkinson's disease. Parkinsonism Relat Disord 2020; 79:55-59. [PMID: 32866879 DOI: 10.1016/j.parkreldis.2020.08.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Subthalamic nucleus deep brain stimulation (STN DBS) improves cardinal motor symptoms of Parkinson's disease (PD) but can worsen verbal fluency (VF). An optimal site of stimulation for overall motor improvement has been previously identified using an atlas-independent, fully individualized, field-modeling approach. This study examines if cardinal motor components (bradykinesia, tremor, and rigidity) share this identified optimal improvement site and if there is co-localization with a site that worsens VF. METHODS An atlas-independent, field-modeling approach was used to identify sites of maximal STN DBS effect on overall and cardinal motor symptoms and VF in 60 patients. Anatomic coordinates were referenced to the STN midpoint. Symptom severity was assessed with the MDS-UPDRS part III and established VF scales. RESULTS Sites for improved bradykinesia and rigidity co-localized with each other and the overall part III site (0.09 mm lateral, 0.93 mm posterior, 1.75 mm dorsal). The optimal site for tremor was posterior to this site (0.10 mm lateral, 1.40 mm posterior, 1.93 mm dorsal). Semantic and phonemic VF sites were indistinguishable and co-localized medial to the motor sites (0.32 mm medial, 1.18 mm posterior, 1.74 mm dorsal). CONCLUSION This study identifies statistically distinct, maximally effective stimulation sites for tremor improvement, VF worsening, and overall and other cardinal motor improvements in STN DBS. Current electrode sizes and voltage settings stimulate all of these sites simultaneously. However, future targeted lead placement and focused directional stimulation may avoid VF worsening while maintaining motor improvements in STN DBS.
Collapse
Affiliation(s)
- James M Mossner
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
| | - Kelvin L Chou
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Amanda H Maher
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Carol C Persad
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Parag G Patil
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|
12
|
Mossner JM, Patil PG, Chou KL. Subthalamic nucleus deep brain stimulation improves dyskinesias in Parkinson’s disease beyond levodopa reduction. J Neural Transm (Vienna) 2019; 126:1479-1483. [DOI: 10.1007/s00702-019-02076-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 09/02/2019] [Indexed: 10/26/2022]
|
13
|
Yin Z, Luo Y, Jin Y, Yu Y, Zheng S, Duan J, Xu R, Zhou D, Hong T, Lu G. Is awake physiological confirmation necessary for DBS treatment of Parkinson's disease today? A comparison of intraoperative imaging, physiology, and physiology imaging-guided DBS in the past decade. Brain Stimul 2019; 12:893-900. [PMID: 30876883 DOI: 10.1016/j.brs.2019.03.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 03/04/2019] [Accepted: 03/05/2019] [Indexed: 10/27/2022] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) is a well-established surgical therapy for Parkinson's disease (PD). Intraoperative imaging (IMG), intraoperative physiology (PHY) and their combination (COMB) are the three mainstream DBS guidance methods. OBJECTIVE To comprehensively compare the use of IMG-DBS, PHY-DBS and COMB-DBS in treating PD. METHODS PubMed, Embase, the Cochrane Library and OpenGrey were searched to identify PD-DBS studies reporting guidance techniques published between January 1, 2010, and May 1, 2018. We quantitatively compared the therapeutic effects, surgical time, target error and complication risk and qualitatively compared the patient experience, cost and technical prospects. A meta-regression analysis was also performed. This study is registered with PROSPERO, number CRD42018105995. RESULTS Fifty-nine cohorts were included in the main analysis. The three groups were equivalent in therapeutic effects and infection risks. IMG-DBS (p < 0.001) and COMB-DBS (p < 0.001) had a smaller target error than PHY-DBS. IMG-DBS had a shorter surgical time (p < 0.001 and p = 0.008, respectively) and a lower intracerebral hemorrhage (ICH) risk (p = 0.013 and p = 0.004, respectively) than PHY- and COMB-DBS. The use of intraoperative imaging and microelectrode recording correlated with a higher surgical accuracy (p = 0.018) and a higher risk of ICH (p = 0.049). CONCLUSIONS The comparison of COMB-DBS and PHY-DBS showed intraoperative imaging's superiority (higher surgical accuracy), while the comparison of COMB-DBS and IMG-DBS showed physiological confirmation's inferiority (longer surgical time and higher ICH risk). Combined with previous evidence, the use of intraoperative neuroimaging techniques should become a future trend.
Collapse
Affiliation(s)
- Zixiao Yin
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China; The First Clinical Medical College of Nanchang University, Nanchang, Jiangxi, PR China
| | - Yunyun Luo
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China; The First Clinical Medical College of Nanchang University, Nanchang, Jiangxi, PR China
| | - Yanwen Jin
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China; The Second Clinical Medical College of Nanchang University, Nanchang, Jiangxi, PR China
| | - Yaqing Yu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Suyue Zheng
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Jian Duan
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Renxu Xu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Dongwei Zhou
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Tao Hong
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Guohui Lu
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China.
| |
Collapse
|