1
|
Andrews L, Keller S, Ratcliffe C, Osman-Farah J, Shepherd H, Bhojak M, Macerollo A. Exploring White Matter Microstructure with Symptom Severity and Outcomes Following Deep Brain Stimulation in Tremor Syndromes. Tremor Other Hyperkinet Mov (N Y) 2024; 14:43. [PMID: 39220675 PMCID: PMC11363889 DOI: 10.5334/tohm.904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 09/04/2024] Open
Abstract
Background Essential tremor (ET) and dystonic tremor (DT) are movement disorders that cause debilitating symptoms, significantly impacting daily activities and quality of life. A poor understanding of their pathophysiology, as well as the mediators of clinical outcomes following deep brain stimulation (DBS), highlights the need for biomarkers to accurately characterise and optimally treat patients. Objectives We assessed the white matter microstructure of pathways implicated in the pathophysiology and therapeutic intervention in a retrospective cohort of patients with DT (n = 17) and ET (n = 19). We aimed to identity associations between white matter microstructure, upper limb tremor severity, and tremor improvement following DBS. Methods A fixel-based analysis pipeline was implemented to investigate white matter microstructural metrics in the whole brain, cerebello-thalamic pathways and tracts connected to stimulation volumes following DBS. Associations with preoperative and postoperative severity were analysed within each disorder group and across combined disorder groups. Results DBS led to significant improvements in both groups. No group differences in stimulation positions were identified. When white matter microstructural data was aligned according to the maximally affected upper limb, increased fiber density, and combined fiber density & cross-section of fixels in the left cerebellum were associated with greater tremor severity across DT and ET patients. White matter microstructure did not show associations with postoperative changes in cerebello-thalamic pathways, or tracts connected to stimulation volumes. Discussion Diffusion changes of the cerebellum are associated with the severity of upper limb tremor and appear to overlap in essential or dystonic tremor disorders.
Collapse
Affiliation(s)
- Luke Andrews
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
| | - Simon Keller
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
| | - Corey Ratcliffe
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
| | - Jibril Osman-Farah
- The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, UK
| | - Hilary Shepherd
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
- The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, UK
| | - Maneesh Bhojak
- The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, UK
| | - Antonella Macerollo
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
- The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, UK
| |
Collapse
|
2
|
Morishita T, Sakai Y, Iida H, Tanaka H, Permana GI, Kobayashi H, Tanaka SC, Abe H. Surgical Concepts and Long-term Outcomes of Thalamic Deep Brain Stimulation in Patients with Severe Tourette Syndrome: A Single-center Experience. Neurol Med Chir (Tokyo) 2024; 64:289-298. [PMID: 38897940 DOI: 10.2176/jns-nmc.2023-0254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024] Open
Abstract
Tourette syndrome (TS) is a developmental neuropsychiatric disorder that is characterized by tic movements. Deep brain stimulation (DBS) may be a treatment option for severe cases refractory to medical and behavioral therapies. In this study, we reviewed the surgical techniques used for DBS in patients with severe TS and its clinical outcomes and sought to determine the optimal surgical procedure and current issues based on our experience and the literature. A total of 14 patients, consisting of 13 men and 1 woman, who underwent centromedian thalamic DBS and were followed up for a mean duration of 2.3 ± 1.0 years, participated in this study. The mean Yale Global Tic Severity Scale severity score significantly improved from 41.4 ± 7.0 at baseline to 19.8 ± 11.4 at 6 months (P = 0.01) and 12.7 ± 6.2 at the last follow-up (P < 0.01). Moreover, the mean Yale Global Tic Severity Scale impairment score significantly improved from 47.1 ± 4.7 at baseline to 23.1 ± 11.1 at 6 months (P < 0.01) and 7.6 ± 2.9 at the last follow-up (P < 0.01). However, there were problems with continuous postoperative monitoring (three cases were lost to follow-up) and surgery-related adverse events, including one case each of lead misplacement and a delayed intracerebral hemorrhage due to severe self-injurious tics. This study aimed to highlight not only the clinical efficacy of DBS for TS but also its challenges. Clinicians should understand the three-dimensional brain anatomy so that they can perform precise surgical procedures, avoid adverse events, and achieve favorable outcomes of DBS for TS.
Collapse
Affiliation(s)
| | - Yuki Sakai
- ATR Brain Information Communication Research Laboratory Group
| | - Hitoshi Iida
- Department of Psychiatry, Fukuoka University Faculty of Medicine
| | - Hideaki Tanaka
- Department of Neurosurgery, Fukuoka University Faculty of Medicine
| | - Galih I Permana
- Department of Neurosurgery, Fukuoka University Faculty of Medicine
- Department of Neurosurgery, Dr. Moewardi General Academic Hospital
| | | | - Saori C Tanaka
- ATR Brain Information Communication Research Laboratory Group
- Division of Information Science, Nara Institute of Science and Technology
| | - Hiroshi Abe
- Department of Neurosurgery, Fukuoka University Faculty of Medicine
| |
Collapse
|
3
|
Liu J, Chen S, Chen J, Wang B, Zhang Q, Xiao L, Zhang D, Cai X. Structural Brain Connectivity Guided Optimal Contact Selection for Deep Brain Stimulation of the Subthalamic Nucleus. World Neurosurg 2024; 188:e546-e554. [PMID: 38823445 DOI: 10.1016/j.wneu.2024.05.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy in ameliorating the motor symptoms of Parkinson disease. However, postoperative optimal contact selection is crucial for achieving the best outcome of deep brain stimulation of the subthalamic nucleus surgery, but the process is currently a trial-and-error and time-consuming procedure that relies heavily on surgeons' clinical experience. METHODS In this study, we propose a structural brain connectivity guided optimal contact selection method for deep brain stimulation of the subthalamic nucleus. Firstly, we reconstruct the DBS electrode location and estimate the stimulation range using volume of tissue activated from each DBS contact. Then, we extract the structural connectivity features by concatenating fractional anisotropy and the number of streamlines features of activated regions and the whole brain regions. Finally, we use a convolutional neural network with convolutional block attention module to identify the structural connectivity features for the optimal contact selection. RESULTS We review the data of 800 contacts from 100 patients with Parkinson disease for the experiment. The proposed method achieves promising results, with the average accuracy of 97.63%, average precision of 94.50%, average recall of 94.46%, and average specificity of 98.18%, respectively. Our method can provide the suggestion for optimal contact selection. CONCLUSIONS Our proposed method can improve the efficiency and accuracy of DBS optimal contact selection, reduce the dependence on surgeons' experience, and has the potential to facilitate the development of advanced DBS technology.
Collapse
Affiliation(s)
- Jiali Liu
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Shouxuan Chen
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Jianwei Chen
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Bo Wang
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Qiusheng Zhang
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Linxia Xiao
- Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Doudou Zhang
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xiaodong Cai
- Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| |
Collapse
|
4
|
Meyer GM, Hollunder B, Li N, Butenko K, Dembek TA, Hart L, Nombela C, Mosley P, Akram H, Acevedo N, Borron BM, Chou T, Castaño Montoya JP, Strange B, Barcia JA, Tyagi H, Castle DJ, Smith AH, Choi KS, Kopell BH, Mayberg HS, Sheth SA, Goodman WK, Leentjens AFG, Richardson RM, Rossell SL, Bosanac P, Cosgrove GR, Kuhn J, Visser-Vandewalle V, Figee M, Dougherty DD, Siddiqi SH, Zrinzo L, Joyce E, Baldermann JC, Fox MD, Neudorfer C, Horn A. Deep Brain Stimulation for Obsessive-Compulsive Disorder: Optimal Stimulation Sites. Biol Psychiatry 2024; 96:101-113. [PMID: 38141909 PMCID: PMC11190041 DOI: 10.1016/j.biopsych.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Deep brain stimulation (DBS) is a promising treatment option for treatment-refractory obsessive-compulsive disorder (OCD). Several stimulation targets have been used, mostly in and around the anterior limb of the internal capsule and ventral striatum. However, the precise target within this region remains a matter of debate. METHODS Here, we retrospectively studied a multicenter cohort of 82 patients with OCD who underwent DBS of the ventral capsule/ventral striatum and mapped optimal stimulation sites in this region. RESULTS DBS sweet-spot mapping performed on a discovery set of 58 patients revealed 2 optimal stimulation sites associated with improvements on the Yale-Brown Obsessive Compulsive Scale, one in the anterior limb of the internal capsule that overlapped with a previously identified OCD-DBS response tract and one in the region of the inferior thalamic peduncle and bed nucleus of the stria terminalis. Critically, the nucleus accumbens proper and anterior commissure were associated with beneficial but suboptimal clinical improvements. Moreover, overlap with the resulting sweet- and sour-spots significantly estimated variance in outcomes in an independent cohort of 22 patients from 2 additional DBS centers. Finally, beyond obsessive-compulsive symptoms, stimulation of the anterior site was associated with optimal outcomes for both depression and anxiety, while the posterior site was only associated with improvements in depression. CONCLUSIONS Our results suggest how to refine targeting of DBS in OCD and may be helpful in guiding DBS programming in existing patients.
Collapse
Affiliation(s)
- Garance M Meyer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
| | - Barbara Hollunder
- Department of Neurology, Charité Universitätsmedizin Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ningfei Li
- Department of Neurology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Till A Dembek
- Department of Neurology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Lauren Hart
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cristina Nombela
- Biological and Health Psychology, School of Psychology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Philip Mosley
- Clinical Brain Networks Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia; Neurosciences Queensland, St. Andrew's War Memorial Hospital, Spring Hill, Queensland, Australia; Queensland Brain Institute, University of Queensland, St. Lucia, Brisbane, Queensland, Australia; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation Health and Biosecurity, Herston, Queensland, Australia
| | - Harith Akram
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Nicola Acevedo
- Centre for Mental Health, Swinburne University, Melbourne, Victoria, Australia; St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Benjamin M Borron
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Tina Chou
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Juan Pablo Castaño Montoya
- Department of Neurosurgery, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria San Carlos, Universidad Complutense de Madrid, Madrid, Spain
| | - Bryan Strange
- Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Juan A Barcia
- Department of Neurosurgery, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria San Carlos, Universidad Complutense de Madrid, Madrid, Spain
| | - Himanshu Tyagi
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - David J Castle
- University of Tasmania and Centre for Mental Health Service Innovation, Tasmania, Australia; State-wide Mental Health Service, Tasmania, Australia
| | - Andrew H Smith
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Brian H Kopell
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sameer A Sheth
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Psychiatry and Behavioral Science, Baylor College of Medicine, Houston, Texas
| | - Wayne K Goodman
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Psychiatry and Behavioral Science, Baylor College of Medicine, Houston, Texas
| | - Albert F G Leentjens
- Department of Psychiatry, Maastricht University Medical Center, Maastricht, the Netherlands
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Susan L Rossell
- Centre for Mental Health, Swinburne University, Melbourne, Victoria, Australia; St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Peter Bosanac
- St. Vincent's Hospital, Melbourne, Victoria, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - G Rees Cosgrove
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jens Kuhn
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Johanniter Hospital Oberhausen, EVKLN, Oberhausen, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Martijn Figee
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ludvic Zrinzo
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Eileen Joyce
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Juan Carlos Baldermann
- Department of Neurology, Faculty of Medicine, University of Cologne, Cologne, Germany; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Andreas Horn
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Neurology, Charité Universitätsmedizin Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany; Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
5
|
Gadot R, Li N, Shofty B, Avendano-Ortega M, McKay S, Bijanki KR, Robinson ME, Banks G, Provenza N, Storch EA, Goodman WK, Horn A, Sheth SA. Tractography-Based Modeling Explains Treatment Outcomes in Patients Undergoing Deep Brain Stimulation for Obsessive-Compulsive Disorder. Biol Psychiatry 2024; 96:95-100. [PMID: 36948900 PMCID: PMC10387502 DOI: 10.1016/j.biopsych.2023.01.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/29/2022] [Accepted: 01/19/2023] [Indexed: 02/01/2023]
Abstract
BACKGROUND Deep brain stimulation (DBS) is an established and expanding therapy for treatment-refractory obsessive-compulsive disorder. Previous work has suggested that a white matter circuit providing hyperdirect input from the dorsal cingulate and ventrolateral prefrontal regions to the subthalamic nucleus could be an effective neuromodulatory target. METHODS We tested this concept by attempting to retrospectively explain through predictive modeling the ranks of clinical improvement as measured by the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) in 10 patients with obsessive-compulsive disorder who underwent DBS to the ventral anterior limb of internal capsule with subsequent programming uninformed by the putative target tract. RESULTS Rank predictions were carried out using the tract model by a team that was completely uninvolved in DBS planning and programming. Predicted Y-BOCS improvement ranks significantly correlated with actual Y-BOCS improvement ranks at the 6-month follow-up (r = 0.75, p = .013). Predicted score improvements correlated with actual Y-BOCS score improvements (r = 0.72, p = .018). CONCLUSIONS Here, we provide data in a first-of-its-kind report suggesting that normative tractography-based modeling can blindly predict treatment response in DBS for obsessive-compulsive disorder.
Collapse
Affiliation(s)
- Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Ningfei Li
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité Universitätsmedizin, Berlin, Germany
| | - Ben Shofty
- Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | | | - Sarah McKay
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Kelly R Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Meghan E Robinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Garrett Banks
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Nicole Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Eric A Storch
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Wayne K Goodman
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Andreas Horn
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachussetts
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas.
| |
Collapse
|
6
|
Wang Y, Yu L, Mao H, Chen X, Hu P, Ge Y, Liu Y, Zhang J, Cheng H. Deep Brain Stimulation Modulates the Visual Pathway to Improve Freezing of Gait in Parkinson's Disease Patients. World Neurosurg 2024; 187:e148-e155. [PMID: 38636635 DOI: 10.1016/j.wneu.2024.04.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVE To investigate the involvement of the visual cortex in improving freezing of gait (FoG) after subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinson's disease (PD) patients using whole-brain seed-based functional connectivity. METHODS A total of 66 PD patients with FoG who underwent bilateral STN-DBS were included in our study. Patients were divided into a FoG responder group and an FoG nonresponder group according to whether FoG improved 1 year after DBS. We compared the differences in clinical characteristics, brain structural imaging, and seed-based functional connectivity between the 2 groups. The locations of active contacts were further analyzed. RESULTS All PD patients benefited from STN-DBS. No significant differences in the baseline characteristics or brain structures were found between the 2 groups. Seed-based functional connectivity analysis revealed that better connectivity in bilateral primary visual areas was associated with better clinical improvement in FoG (P < 0.05 familywise error corrected). Further analysis revealed that this disparity was associated with the location of the active contacts within the rostral region of the sensorimotor subregion in the FoG responder group, in contrast to the findings in the FoG nonresponder group. CONCLUSIONS This study suggested that DBS in the rostral region of the STN sensorimotor subregion may alleviate FoG by strengthening functional connectivity in primary visual areas, which has significant implications for guiding surgical strategies for FoG in the future.
Collapse
Affiliation(s)
- Yi Wang
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Liangchen Yu
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Hongliang Mao
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Xianwen Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Panpan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Yue Ge
- Department of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Yue Liu
- First Clinical Medical College, Anhui Medical University, Hefei, P.R. China
| | - Jiarui Zhang
- First Clinical Medical College, Anhui Medical University, Hefei, P.R. China
| | - Hongwei Cheng
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China.
| |
Collapse
|
7
|
Peeters J, Van Bogaert T, Boogers A, Gransier R, Wouters J, De Vloo P, Vandenberghe W, Barbe MT, Visser-Vandewalle V, Nuttin B, Dembek TA, Mc Laughlin M. Electrophysiological sweet spot mapping in deep brain stimulation for Parkinson's disease patients. Brain Stimul 2024; 17:794-801. [PMID: 38821395 DOI: 10.1016/j.brs.2024.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/16/2024] [Accepted: 05/26/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Subthalamic deep brain stimulation (STN-DBS) is a well-established therapy to treat Parkinson's disease (PD). However, the STN-DBS sub-target remains debated. Recently, a white matter tract termed the hyperdirect pathway (HDP), directly connecting the motor cortex to STN, has gained interest as HDP stimulation is hypothesized to drive DBS therapeutic effects. Previously, we have investigated EEG-based evoked potentials (EPs) to better understand the neuroanatomical origins of the DBS clinical effect. We found a 3-ms peak (P3) relating to clinical benefit, and a 10-ms peak (P10) suggesting nigral side effects. Here, we aimed to investigate the neuroanatomical origins of DBS EPs using probabilistic mapping. METHODS EPs were recorded using EEG whilst low-frequency stimulation was delivered at all DBS-contacts individually. Next, EPs were mapped onto the patients' individual space and then transformed to MNI standard space. Using voxel-wise and fiber-wise probabilistic mapping, we determined hotspots/hottracts and coldspots/coldtracts for P3 and P10. Topography analysis was also performed to determine the spatial distribution of the DBS EPs. RESULTS In all 13 patients (18 hemispheres), voxel- and fiber-wise probabilistic mapping resulted in a P3-hotspot/hottract centered on the posterodorsomedial STN border indicative of HDP stimulation, while the P10-hotspot/hottract covered large parts of the substantia nigra. CONCLUSION This study investigated EP-based probabilistic mapping in PD patients during STN-DBS, revealing a P3-hotspot/hottract in line with HDP stimulation and P10-hotspot/hottract related to nigral stimulation. Results from this study provide key evidence for an electrophysiological measure of HDP and nigral stimulation.
Collapse
Affiliation(s)
- Jana Peeters
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium
| | - Tine Van Bogaert
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium
| | - Alexandra Boogers
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium; Department of Neurology, UZ Leuven, Belgium
| | - Robin Gransier
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium
| | - Jan Wouters
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium
| | - Philippe De Vloo
- Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven, Belgium; Department of Neurosurgery, UZ Leuven, Belgium
| | - Wim Vandenberghe
- Department of Neurology, UZ Leuven, Belgium; Laboratory for Parkinson Research, Department of Neurosciences, KU Leuven, Belgium
| | - Michael T Barbe
- University of Cologne, Faculty of Medicine, Department of Neurology, Cologne, Germany
| | - Veerle Visser-Vandewalle
- University of Cologne, Faculty of Medicine, Department of Stereotactic & Functional Neurosurgery, Cologne, Germany
| | - Bart Nuttin
- Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven, Belgium; Department of Neurosurgery, UZ Leuven, Belgium
| | - Till A Dembek
- University of Cologne, Faculty of Medicine, Department of Neurology, Cologne, Germany
| | - Myles Mc Laughlin
- Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Belgium.
| |
Collapse
|
8
|
Xiao H, Lang L, Ye Z, Wu J. Subthalamic Nucleus Stimulation Modulates Cognitive Theory of Mind in Parkinson's Disease. Mov Disord 2024; 39:1154-1165. [PMID: 38696281 DOI: 10.1002/mds.29830] [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: 10/14/2023] [Revised: 03/22/2024] [Accepted: 04/18/2024] [Indexed: 05/04/2024] Open
Abstract
BACKGROUND Theory of mind (ToM), the ability to infer others' mental state, is essential for social interaction among human beings. It has been widely reported that both cognitive (inference of knowledge) and affective (inference of emotion) components of ToM are disrupted in Parkinson's disease (PD). Previous studies usually focused on the involvement of the prefrontal cortex. OBJECTIVE This study investigated the causal role of the subthalamic nucleus (STN), a key hub of the fronto-basal ganglia loops, in ToM. METHODS Thirty-four patients with idiopathic PD (15 women, aged 62.2 ± 8.3 years) completed a Yoni task with deep brain stimulation (DBS) ON and OFF. The Yoni task was designed to separate the cognitive and affective components of ToM. Volumes of tissue activated (VTA) were computed for three subregions of the STN. RESULTS DBS showed insignificant effects on ToM inference costs at the group level, which may be due to the large interindividual variability. The associative VTA correlated with the cognitive inference cost change but not the affective inference cost change. Patients with greater associative STN stimulation infer more slowly on cognitive ToM. Stimulating associative STN can adversely affect cognitive ToM in PD patients, especially in patients with a wide range of stimulation (≥0.157) or cognitive decline (Montreal Cognitive Assessment < 26). CONCLUSIONS The associative STN plays a causal role in cognitive ToM in patients with PD. However, stimulating the associative STN likely impairs cognitive ToM and potentially leads to social interaction deficits in PD. © 2024 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Haoyun Xiao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Liqin Lang
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zheng Ye
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
9
|
Wilkins KB, Petrucci MN, Lambert EF, Melbourne JA, Gala AS, Akella P, Parisi L, Cui C, Kehnemouyi YM, Hoffman SL, Aditham S, Diep C, Dorris HJ, Parker JE, Herron JA, Bronte-Stewart HM. Beta Burst-Driven Adaptive Deep Brain Stimulation Improves Gait Impairment and Freezing of Gait in Parkinson's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.26.24309418. [PMID: 38978669 PMCID: PMC11230310 DOI: 10.1101/2024.06.26.24309418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that is often refractory to medication. Pathological prolonged beta bursts within the subthalamic nucleus (STN) are associated with both worse impairment and freezing behavior in PD, which are improved with deep brain stimulation (DBS). The goal of the current study was to investigate the feasibility, safety, and tolerability of beta burst-driven adaptive DBS (aDBS) for FOG in PD. Methods Seven individuals with PD were implanted with the investigational Summit™ RC+S DBS system (Medtronic, PLC) with leads placed bilaterally in the STN. A PC-in-the-loop architecture was used to adjust stimulation amplitude in real-time based on the observed beta burst durations in the STN. Participants performed either a harnessed stepping-in-place task or a free walking turning and barrier course, as well as clinical motor assessments and instrumented measures of bradykinesia, OFF stimulation, on aDBS, continuous DBS (cDBS), or random intermittent DBS (iDBS). Results Beta burst driven aDBS was successfully implemented and deemed safe and tolerable in all seven participants. Gait metrics such as overall percent time freezing and mean peak shank angular velocity improved from OFF to aDBS and showed similar efficacy as cDBS. Similar improvements were also seen for overall clinical motor impairment, including tremor, as well as quantitative metrics of bradykinesia. Conclusion Beta burst driven adaptive DBS was feasible, safe, and tolerable in individuals with PD with gait impairment and FOG.
Collapse
Affiliation(s)
- K B Wilkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - M N Petrucci
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Bioengineering, Stanford Schools of Engineering & Medicine, Stanford, CA, United States
| | - E F Lambert
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J A Melbourne
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - A S Gala
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - P Akella
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - L Parisi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - C Cui
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Y M Kehnemouyi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Bioengineering, Stanford Schools of Engineering & Medicine, Stanford, CA, United States
| | - S L Hoffman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - S Aditham
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - C Diep
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - H J Dorris
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J E Parker
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J A Herron
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States
| | - H M Bronte-Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| |
Collapse
|
10
|
Leplus A, Isan P, Balossier A, Mouffok S, Donnet A, Papadopoulo T, Lanteri‐Minet M, Regis J, Fontaine D. Somatotopy of the sensory thalamus: inputs from directional deep brain stimulation in pain patients. Ann Clin Transl Neurol 2024; 11:1502-1513. [PMID: 38668642 PMCID: PMC11187955 DOI: 10.1002/acn3.52067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/05/2024] [Accepted: 02/27/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE The sensory ventroposterior (VP) thalamic nuclei display a mediolateral somatotopic organization (respectively head, arm, and leg). We studied this somatotopy using directional VP deep brain stimulation (DBS) in patients treated for chronic neuropathic pain. METHODS Six patients with central (four) or peripheral (two) neuropathic pain were treated by VP DBS using directional leads in a prospective study (clinicaltrials.gov NCT03399942). Lead-DBS toolbox was used for leads localization, visualization, and modeling of the volume of tissue activated (VTA). Stimulation was delivered in each direction, 1 month after surgery and correlated to the location of stimulation-induced paresthesias. The somatotopy was modeled by correlating the respective locations of paresthesias and VTAs. We recorded 48 distinct paresthesia maps corresponding to 48 VTAs (including 36 related to directional stimulation). RESULTS We observed that, in each patient, respective body representations of the trunk, upper limb, lower limb, and head were closely located around the lead. These representations differed across patients, did not follow a common organization and were not concordant with the previously described somatotopic organization of the sensory thalamus. INTERPRETATION Thalamic reorganization has been reported in chronic pain patients compared to non-pain patients operated for movement disorders in previous studies using intraoperative recordings and micro-stimulation. Using a different methodology, namely 3D representation of the VTA by the directional postoperative stimulation through a stationary electrode, our study brings additional arguments in favor of a reorganization of the VP thalamic somatotopy in patients suffering from chronic neuropathic pain of central or peripheral origin.
Collapse
Affiliation(s)
- Aurelie Leplus
- Department of Neurosurgery, FHU INOVPAIN, CHU de NiceUniversité Côte d'AzurNiceFrance
- UR2CAUniversité Côte d'AzurNiceFrance
| | - Petru Isan
- Department of Neurosurgery, FHU INOVPAIN, CHU de NiceUniversité Côte d'AzurNiceFrance
- UR2CAUniversité Côte d'AzurNiceFrance
| | - Anne Balossier
- Department of NeurosurgeryHopital La Timone, APHM, FHU INOVPAINMarseilleFrance
| | - Sarah Mouffok
- INRIA CenterUniversité Cote d'AzurSophia AntipolisFrance
| | - Anne Donnet
- Pain ClinicHopital La Timone, APHMMarseilleFrance
- Neuro‐Dol, Trigeminal PainINSERM/UCA, U1107Clermont‐FerrandFrance
| | | | - Michel Lanteri‐Minet
- UR2CAUniversité Côte d'AzurNiceFrance
- Neuro‐Dol, Trigeminal PainINSERM/UCA, U1107Clermont‐FerrandFrance
- Pain Clinic, FHU INOVPAIN, CHU de NiceUniversité Côte d'AzurNiceFrance
| | - Jean Regis
- Department of NeurosurgeryHopital La Timone, APHM, FHU INOVPAINMarseilleFrance
| | - Denys Fontaine
- Department of Neurosurgery, FHU INOVPAIN, CHU de NiceUniversité Côte d'AzurNiceFrance
- UR2CAUniversité Côte d'AzurNiceFrance
| |
Collapse
|
11
|
Semenova U, Dzhalagoniya I, Gamaleya A, Tomskiy A, Shaikh AG, Sedov A. Pallidal multifractal complexity is a new potential physiomarker of dystonia. Clin Neurophysiol 2024; 162:31-40. [PMID: 38555665 DOI: 10.1016/j.clinph.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/11/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
OBJECTIVE Low-frequency 4-12 Hz pallidal oscillations are being considered as potential physiomarkers for dystonia. We suggest investigating the multifractal properties of pallidal activity as an additional marker. METHODS We employed local field potentials (LFP) recordings from 23 patients with dystonia who were undergoing deep brain stimulation (DBS) surgery to explore the connection between disease severity and the multifractal characteristics of pallidal activity. Furthermore, we performed an analysis of LFP recordings from four patients, following the externalization of DBS lead electrodes, to investigate the impact of DBS and neck muscle vibration on multifractal parameters. RESULTS Greater dystonia severity exhibited a correlation with a narrower multifractal spectrum width but higher multifractal spectral asymmetry. Both GPi DBS and muscle vibration in dystonia patients expanded the multifractal spectrum width while restoring multifractal spectral symmetry. Notably, the threshold peak intensities for an increase in multifractal spectrum width substantially overlapped with the optimal volume of tissue activated. A broader multifractal spectrum during DBS corresponded to more favorable clinical outcomes. CONCLUSIONS Multifractal properties of pallidal neuronal activity serve as indicators of neural dysfunction in dystonia. SIGNIFICANCE These findings suggest the potential of utilizing multifractal characteristics as predictive factors for the DBS outcome in dystonia.
Collapse
Affiliation(s)
- Ulia Semenova
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation.
| | - Indiko Dzhalagoniya
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation
| | - Anna Gamaleya
- N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation
| | - Alexey Tomskiy
- N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation
| | - Aasef G Shaikh
- Departments of Neurology and Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Neurological Institute, University Hospitals, Cleveland, OH, USA; Neurology Service, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA
| | - Alexey Sedov
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation
| |
Collapse
|
12
|
Rajamani N, Friedrich H, Butenko K, Dembek T, Lange F, Navrátil P, Zvarova P, Hollunder B, de Bie RMA, Odekerken VJJ, Volkmann J, Xu X, Ling Z, Yao C, Ritter P, Neumann WJ, Skandalakis GP, Komaitis S, Kalyvas A, Koutsarnakis C, Stranjalis G, Barbe M, Milanese V, Fox MD, Kühn AA, Middlebrooks E, Li N, Reich M, Neudorfer C, Horn A. Deep brain stimulation of symptom-specific networks in Parkinson's disease. Nat Commun 2024; 15:4662. [PMID: 38821913 PMCID: PMC11143329 DOI: 10.1038/s41467-024-48731-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/13/2024] [Indexed: 06/02/2024] Open
Abstract
Deep Brain Stimulation can improve tremor, bradykinesia, rigidity, and axial symptoms in patients with Parkinson's disease. Potentially, improving each symptom may require stimulation of different white matter tracts. Here, we study a large cohort of patients (N = 237 from five centers) to identify tracts associated with improvements in each of the four symptom domains. Tremor improvements were associated with stimulation of tracts connected to primary motor cortex and cerebellum. In contrast, axial symptoms are associated with stimulation of tracts connected to the supplementary motor cortex and brainstem. Bradykinesia and rigidity improvements are associated with the stimulation of tracts connected to the supplementary motor and premotor cortices, respectively. We introduce an algorithm that uses these symptom-response tracts to suggest optimal stimulation parameters for DBS based on individual patient's symptom profiles. Application of the algorithm illustrates that our symptom-tract library may bear potential in personalizing stimulation treatment based on the symptoms that are most burdensome in an individual patient.
Collapse
Affiliation(s)
- Nanditha Rajamani
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Helen Friedrich
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- University of Würzburg, Faculty of Medicine, Josef-Schneider-Str. 2, 97080, Würzburg, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Till Dembek
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, University of Cologne, Cologne, Germany
| | - Florian Lange
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Pavel Navrátil
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Patricia Zvarova
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
| | - Barbara Hollunder
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
| | - Rob M A de Bie
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Vincent J J Odekerken
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Jens Volkmann
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Xin Xu
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhipei Ling
- Department of Neurosurgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan, 572000, China
| | - Chen Yao
- Department of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China
| | - Petra Ritter
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
- Bernstein center for Computational Neuroscience Berlin, Berlin, 10117, Germany
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Georgios P Skandalakis
- Section of Neurosurgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, 03756, USA
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - Spyridon Komaitis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
- Centre for Spinal Studies and Surgery, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Aristotelis Kalyvas
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
- Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Christos Koutsarnakis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - George Stranjalis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - Michael Barbe
- Department of Neurology, University of Cologne, Cologne, Germany
| | - Vanessa Milanese
- Neurosurgical Division, Hospital Beneficência Portuguesa de São Paulo, São Paulo, Brazil
- Department of Neurosurgery, Mayo Clinic, Florida, USA
- Movement Disorders and Neuromodulation Unit, DOMMO Clinic, São Paulo, Brazil
| | - Michael D Fox
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
| | | | - Ningfei Li
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Reich
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Clemens Neudorfer
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| |
Collapse
|
13
|
Wu Y, Li Y, Li H, Wang T, Huang P, Wu Y, Sun B, Pan Y, Li D. Prediction of subthalamic stimulation efficacy on isolated dystonia via support vector regression. Heliyon 2024; 10:e31475. [PMID: 38818146 PMCID: PMC11137530 DOI: 10.1016/j.heliyon.2024.e31475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 06/01/2024] Open
Abstract
Introduction Deep brain stimulation (DBS) of subthalamic nucleus (STN) has been well-established and increasingly applied in patients with isolated dystonia. Nevertheless, the surgical efficacy varies among patients. This study aims to explore the factors affecting clinical outcomes of STN-DBS on isolated dystonia and establish a well-performed prediction model. Methods In this prospective study, thirty-two dystonia patients were recruited and received bilateral STN-DBS at our center. Their baseline characteristics and up to one-year follow-up outcomes were assessed. Implanted electrodes of each subject were reconstructed with their contact coordinates and activated volumes calculated. We explored correlations between distinct clinical characteristics and surgical efficacy. Those features were then trained for the model in outcome prediction via support vector regression (SVR) algorithm and testified through cross-validation. Results Patients demonstrated an average clinical improvement of 56 ± 25 % after STN-DBS, significantly affected by distinct symptom forms and activated volumes. The optimal targets and activated volumes were concentratedly located at the dorsal posterior region to STN. Most patients had a rapid response to STN-DBS, and their motor score improvement within one week was highly associated with long-term outcomes. The trained SVR model, contributed by distinct weights of features, could reach a maximum prediction accuracy with mean errors of 11 ± 7 %. Conclusion STN-DBS demonstrated significant and rapid therapeutic effects in patients with isolated dystonia, by possibly affecting the pallidofugal fibers. Early improvement highly indicates the ultimate outcomes. SVR proves valid in outcome prediction. Patients with predominant phasic and generalized symptoms, shorter disease duration, and younger onset age may be more favorable to STN-DBS in the long run.
Collapse
Affiliation(s)
- Yunhao Wu
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongxia Li
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Wang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Huang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Wu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yixin Pan
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dianyou Li
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
14
|
Butenko K, Neudorfer C, Dembek TA, Hollunder B, Meyer GM, Li N, Oxenford S, Bahners BH, Al-Fatly B, Lofredi R, Gordon EM, Dosenbach NUF, Ganos C, Hallett M, Starr PA, Ostrem JL, Wu Y, Zhang C, Fox MD, Horn A. Engaging dystonia networks with subthalamic stimulation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.24.24307896. [PMID: 38903109 PMCID: PMC11188120 DOI: 10.1101/2024.05.24.24307896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Deep brain stimulation is a viable and efficacious treatment option for dystonia. While the internal pallidum serves as the primary target, more recently, stimulation of the subthalamic nucleus (STN) has been investigated. However, optimal targeting within this structure and its complex surroundings have not been studied in depth. Indeed, multiple historical targets that have been used for surgical treatment of dystonia are directly adjacent to the STN. Further, multiple types of dystonia exist, and outcomes are variable, suggesting that not all types would profit maximally from the exact same target. Therefore, a thorough investigation of the neural substrates underlying effects on dystonia symptoms is warranted. Here, we analyze a multi-center cohort of isolated dystonia patients with subthalamic implantations (N = 58) and relate their stimulation sites to improvement of appendicular and cervical symptoms as well as blepharospasm. Stimulation of the ventral oral posterior nucleus of thalamus and surrounding regions was associated with improvement in cervical dystonia, while stimulation of the dorsolateral STN was associated with improvement in limb dystonia and blepharospasm. This dissociation was also evident for structural connectivity, where the cerebellothalamic, corticospinal and pallidosubthalamic tracts were associated with improvement of cervical dystonia, while hyperdirect and subthalamopallidal pathways were associated with alleviation of limb dystonia and blepharospasm. Importantly, a single well-placed electrode may reach the three optimal target sites. On the level of functional networks, improvement of limb dystonia was correlated with connectivity to the corresponding somatotopic regions in primary motor cortex, while alleviation of cervical dystonia was correlated with connectivity to the recently described 'action-mode' network that involves supplementary motor and premotor cortex. Our findings suggest that different types of dystonia symptoms are modulated via distinct networks. Namely, appendicular dystonia and blepharospasm are improved with modulation of the basal ganglia, and, in particular, the subthalamic circuitry, including projections from the primary motor cortex. In contrast, cervical dystonia was more responsive when engaging the cerebello-thalamo-cortical circuit, including direct stimulation of ventral thalamic nuclei. These findings may inform DBS targeting and image-based programming strategies for patient-specific treatment of dystonia.
Collapse
Affiliation(s)
- Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Till A Dembek
- Department of Neurology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Barbara Hollunder
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Garance M Meyer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ningfei Li
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Simón Oxenford
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bahne H Bahners
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
| | - Bassam Al-Fatly
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Roxanne Lofredi
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Evan M Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Nico U F Dosenbach
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO, USA
| | - Christos Ganos
- Movement Disorder Clinic, Edmond J. Safra Program in Parkinson's Disease, Division of Neurology, University of Toronto, Toronto Western Hospital, Toronto, ON, Canada
| | - Mark Hallett
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Philip A Starr
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Jill L Ostrem
- Movement Disorders and Neuromodulation Centre, Department of Neurology, University of California, San Francisco, CA, USA
| | - Yiwen Wu
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - ChenCheng Zhang
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiaotong University Schools of Medicine, Shanghai, China
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andreas Horn
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
15
|
Unadkat P, Vo A, Ma Y, Peng S, Nguyen N, Niethammer M, Tang CC, Dhawan V, Ramdhani R, Fenoy A, Caminiti SP, Perani D, Eidelberg D. Deep brain stimulation of the subthalamic nucleus for Parkinson's disease: A network imaging marker of the treatment response. RESEARCH SQUARE 2024:rs.3.rs-4178280. [PMID: 38766007 PMCID: PMC11100869 DOI: 10.21203/rs.3.rs-4178280/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Subthalamic nucleus deep brain stimulation (STN-DBS) alleviates motor symptoms of Parkinson's disease (PD), thereby improving quality of life. However, quantitative brain markers to evaluate DBS responses and select suitable patients for surgery are lacking. Here, we used metabolic brain imaging to identify a reproducible STN-DBS network for which individual expression levels increased with stimulation in proportion to motor benefit. Of note, measurements of network expression from metabolic and BOLD imaging obtained preoperatively predicted motor outcomes determined after DBS surgery. Based on these findings, we computed network expression in 175 PD patients, with time from diagnosis ranging from 0 to 21 years, and used the resulting data to predict the outcome of a potential STN-DBS procedure. While minimal benefit was predicted for patients with early disease, the proportion of potential responders increased after 4 years. Clinically meaningful improvement with stimulation was predicted in 18.9 - 27.3% of patients depending on disease duration.
Collapse
Affiliation(s)
| | - An Vo
- The Feinstein Institutes for Medical Research
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Shichun Peng
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | | | | | | | | | - Ritesh Ramdhani
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
| | | | | | | | | |
Collapse
|
16
|
Fu S, Yang Z, He X, Liu D, Yang Z, Zhang J, Du L. Long-term Efficacy of Bilateral Globus Pallidus Stimulation in the Treatment of Meige Syndrome. Neuromodulation 2024:S1094-7159(24)00058-8. [PMID: 38597859 DOI: 10.1016/j.neurom.2024.02.002] [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: 09/27/2023] [Revised: 01/12/2024] [Accepted: 02/14/2024] [Indexed: 04/11/2024]
Abstract
OBJECTIVE This study aimed to investigate the long-term efficacy and prognosis of bilateral globus pallidus internus (GPi) deep brain stimulation (DBS) in patients with benign essential blepharospasm (BEB) and complete Meige syndrome, and to search for the best therapeutic subregion within the GPi. MATERIALS AND METHODS Data were collected for 36 patients with Meige syndrome who underwent bilateral GPi-DBS surgery at our hospital between March 2014 and February 2022. Using the Burk-Fahn-Marsden Dystonia Rating Scale (BFMDRS)-Movement (BFMDRS-M) and BFMDRS-Disability (BFMDRS-D), the severity of the symptoms of patients with complete Meige syndrome was evaluated before surgery and at specific time points after surgery. Patients with BEB were clinically evaluated for the severity of blepharospasm using BFMDRS-M, the Blepharospasm Disability Index (BDI), and Jankovic Rating Scale (JRS). Three-dimensional reconstruction of the GPi-electrode was performed in some patients using the lead-DBS software, and the correlation between GPi subregion volume of tissue activated (VTA) and symptom improvement was analyzed in patients six months after surgery. The follow-up duration ranged from six to 99 months. RESULTS Compared with preoperative scores, the results of all patients at six months after surgery and final follow-up showed a significant decrease (p < 0.05) in the mean BFMDRS-M score. Among them, the average BFMDRS-M improvement rates in patients with BEB at six months after surgery and final follow-up were 60.3% and 69.7%, respectively, whereas those in patients with complete Meige syndrome were 54.5% and 58.3%, respectively. The average JRS and BDI scores of patients with BEB also decreased significantly (p < 0.05) at six months after surgery and at the final follow-up (JRS improvement: 38.6% and 49.1%, respectively; BDI improvement: 42.6% and 57.4%, respectively). We were unable to identify significantly correlated prognostic factors. There was a significant correlation between GPi occipital VTA and symptom improvement in patients at six months after surgery (r = 0.34, p = 0.025). CONCLUSIONS Our study suggests that bilateral GPi-DBS is an effective treatment for Meige syndrome, with no serious postoperative complications. The VTA in the GPi subregion may be related to the movement score improvement. In addition, further research is needed to predict patients with poor surgical outcomes.
Collapse
|
17
|
Seas A, Noor MS, Choi KS, Veerakumar A, Obatusin M, Dahill-Fuchel J, Tiruvadi V, Xu E, Riva-Posse P, Rozell CJ, Mayberg HS, McIntyre CC, Waters AC, Howell B. Subcallosal cingulate deep brain stimulation evokes two distinct cortical responses via differential white matter activation. Proc Natl Acad Sci U S A 2024; 121:e2314918121. [PMID: 38527192 PMCID: PMC10998591 DOI: 10.1073/pnas.2314918121] [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: 09/01/2023] [Accepted: 02/20/2024] [Indexed: 03/27/2024] Open
Abstract
Subcallosal cingulate (SCC) deep brain stimulation (DBS) is an emerging therapy for refractory depression. Good clinical outcomes are associated with the activation of white matter adjacent to the SCC. This activation produces a signature cortical evoked potential (EP), but it is unclear which of the many pathways in the vicinity of SCC is responsible for driving this response. Individualized biophysical models were built to achieve selective engagement of two target bundles: either the forceps minor (FM) or cingulum bundle (CB). Unilateral 2 Hz stimulation was performed in seven patients with treatment-resistant depression who responded to SCC DBS, and EPs were recorded using 256-sensor scalp electroencephalography. Two distinct EPs were observed: a 120 ms symmetric response spanning both hemispheres and a 60 ms asymmetrical EP. Activation of FM correlated with the symmetrical EPs, while activation of CB was correlated with the asymmetrical EPs. These results support prior model predictions that these two pathways are predominantly activated by clinical SCC DBS and provide first evidence of a link between cortical EPs and selective fiber bundle activation.
Collapse
Affiliation(s)
- Andreas Seas
- Department of Biomedical Engineering, Duke University, Durham, NC27708
- Department of Neurosurgery, Duke University, Durham, NC27708
| | - M. Sohail Noor
- Department of Biomedical Engineering, Duke University, Durham, NC27708
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH10900
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Ashan Veerakumar
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Mosadoluwa Obatusin
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Jacob Dahill-Fuchel
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
| | - Vineet Tiruvadi
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Elisa Xu
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
| | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Christopher J. Rozell
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA30332
| | - Helen S. Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Cameron C. McIntyre
- Department of Biomedical Engineering, Duke University, Durham, NC27708
- Department of Neurosurgery, Duke University, Durham, NC27708
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH10900
| | - Allison C. Waters
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY10029
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA30329
| | - Bryan Howell
- Department of Biomedical Engineering, Duke University, Durham, NC27708
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH10900
| |
Collapse
|
18
|
Ng PR, Bush A, Vissani M, McIntyre CC, Richardson RM. Biophysical Principles and Computational Modeling of Deep Brain Stimulation. Neuromodulation 2024; 27:422-439. [PMID: 37204360 DOI: 10.1016/j.neurom.2023.04.471] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/02/2023] [Accepted: 04/24/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Deep brain stimulation (DBS) has revolutionized the treatment of neurological disorders, yet the mechanisms of DBS are still under investigation. Computational models are important in silico tools for elucidating these underlying principles and potentially for personalizing DBS therapy to individual patients. The basic principles underlying neurostimulation computational models, however, are not well known in the clinical neuromodulation community. OBJECTIVE In this study, we present a tutorial on the derivation of computational models of DBS and outline the biophysical contributions of electrodes, stimulation parameters, and tissue substrates to the effects of DBS. RESULTS Given that many aspects of DBS are difficult to characterize experimentally, computational models have played an important role in understanding how material, size, shape, and contact segmentation influence device biocompatibility, energy efficiency, the spatial spread of the electric field, and the specificity of neural activation. Neural activation is dictated by stimulation parameters including frequency, current vs voltage control, amplitude, pulse width, polarity configurations, and waveform. These parameters also affect the potential for tissue damage, energy efficiency, the spatial spread of the electric field, and the specificity of neural activation. Activation of the neural substrate also is influenced by the encapsulation layer surrounding the electrode, the conductivity of the surrounding tissue, and the size and orientation of white matter fibers. These properties modulate the effects of the electric field and determine the ultimate therapeutic response. CONCLUSION This article describes biophysical principles that are useful for understanding the mechanisms of neurostimulation.
Collapse
Affiliation(s)
| | - Alan Bush
- Harvard Medical School, Boston, MA, USA; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Matteo Vissani
- Harvard Medical School, Boston, MA, USA; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Cameron C McIntyre
- Department of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Neurosurgery, Duke University, Durham, NC, USA
| | - Robert Mark Richardson
- Harvard Medical School, Boston, MA, USA; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| |
Collapse
|
19
|
Leserri S, Segura-Amil A, Nowacki A, Debove I, Petermann K, Schäppi L, Preti MG, Van De Ville D, Pollo C, Walther S, Nguyen TAK. Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series. Eur Arch Psychiatry Clin Neurosci 2024; 274:685-696. [PMID: 37668723 PMCID: PMC10994999 DOI: 10.1007/s00406-023-01683-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023]
Abstract
Treatment-resistant depression is a severe form of major depressive disorder and deep brain stimulation is currently an investigational treatment. The stimulation's therapeutic effect may be explained through the functional and structural connectivities between the stimulated area and other brain regions, or to depression-associated networks. In this longitudinal, retrospective study, four female patients with treatment-resistant depression were implanted for stimulation in the nucleus accumbens area at our center. We analyzed the structural and functional connectivity of the stimulation area: the structural connectivity was investigated with probabilistic tractography; the functional connectivity was estimated by combining patient-specific stimulation volumes and a normative functional connectome. These structural and functional connectivity profiles were then related to four clinical outcome scores. At 1-year follow-up, the remission rate was 66%. We observed a consistent structural connectivity to Brodmann area 25 in the patient with the longest remission phase. The functional connectivity analysis resulted in patient-specific R-maps describing brain areas significantly correlated with symptom improvement in this patient, notably the prefrontal cortex. But the connectivity analysis was mixed across patients, calling for confirmation in a larger cohort and over longer time periods.
Collapse
Affiliation(s)
- Simona Leserri
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Alba Segura-Amil
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland
| | - Andreas Nowacki
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ines Debove
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Katrin Petermann
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Lea Schäppi
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Maria Giulia Preti
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology and Medical InformaticsFaculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Dimitri Van De Ville
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology and Medical InformaticsFaculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Claudio Pollo
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - T A Khoa Nguyen
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland.
- ARTORG IGT, Murtenstrasse 50, 3008, Bern, Switzerland.
| |
Collapse
|
20
|
Remore LG, Tariciotti L, Fiore G, Pirola E, Borellini L, Cogiamanian F, Ampollini AM, Schisano L, Gagliano D, Borsa S, Pluderi M, Bertani GA, Barbieri S, Locatelli M. The role of SWI sequence during the preoperative targeting of the subthalamic nucleus for deep brain stimulation in Parkinson's disease: A retrospective cohort study. World Neurosurg X 2024; 22:100342. [PMID: 38469384 PMCID: PMC10926353 DOI: 10.1016/j.wnsx.2024.100342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/21/2024] [Indexed: 03/13/2024] Open
Affiliation(s)
- Luigi Gianmaria Remore
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
- University of Milan LA STATALE, Milan, Italy
| | - Leonardo Tariciotti
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
- University of Milan LA STATALE, Milan, Italy
| | - Giorgio Fiore
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
- University of Milan LA STATALE, Milan, Italy
| | - Elena Pirola
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Linda Borellini
- Department of Neuropathophysiology, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Filippo Cogiamanian
- Department of Neuropathophysiology, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Luigi Schisano
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Dario Gagliano
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
- University of Milan LA STATALE, Milan, Italy
| | - Stefano Borsa
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Mauro Pluderi
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulio Andrea Bertani
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sergio Barbieri
- Department of Neuropathophysiology, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Locatelli
- Department of Neurosurgery, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- “Aldo Ravelli” Research Center for Neurotechnology and Experimental Brain Therapeutics, University of Milan, Milan, Italy
| |
Collapse
|
21
|
Manfield J, Thomas S, Bogdanovic M, Sarangmat N, Antoniades C, Green AL, FitzGerald JJ. Seeing Is Believing: Photon Counting Computed Tomography Clearly Images Directional Deep Brain Stimulation Lead Segments and Markers After Implantation. Neuromodulation 2024; 27:557-564. [PMID: 37921733 DOI: 10.1016/j.neurom.2023.09.003] [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: 06/08/2023] [Revised: 08/11/2023] [Accepted: 09/12/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND AND OBJECTIVES Directional deep brain stimulation (DBS) electrodes are increasingly used, but conventional computed tomography (CT) is unable to directly image segmented contacts owing to physics-based resolution constraints. Postoperative electrode segment orientation assessment is necessary because of the possibility of significant deviation during or immediately after insertion. Photon-counting detector (PCD) CT is a relatively novel technology that enables high resolution imaging while addressing several limitations intrinsic to CT. We show how PCD CT can enable clear in vivo imaging of DBS electrodes, including segmented contacts and markers for all major lead manufacturers. MATERIALS AND METHODS We describe postoperative imaging and reconstruction protocols we have developed to enable optimal lead visualization. PCD CT images were obtained of directional leads from the three major manufacturers and fused with preoperative 3T magnetic resonance imaging (MRI). Radiation dosimetry also was evaluated and compared with conventional imaging controls. Orientation estimates from directly imaged leads were compared with validated software-based reconstructions (derived from standard CT imaging artifact analysis) to quantify congruence in alignment and directional orientation. RESULTS High-fidelity images were obtained for 15 patients, clearly indicating the segmented contacts and directional markers both on CT alone and when fused to MRI. Our routine imaging protocol is described. Ionizing radiation doses were significantly lower than with conventional CT. For most leads, the directly imaged lead orientations and depths corresponded closely to those predicted by CT artifact-based reconstructions. However, unlike direct imaging, the software reconstructions were susceptible to 180° error in orientation assessment. CONCLUSIONS High-resolution photon-counting CT can very clearly image segmented DBS electrode contacts and directional markers and unambiguously determine lead orientation, with lower radiation than in conventional imaging. This obviates the need for further imaging and may facilitate anatomically tailored directional programming.
Collapse
Affiliation(s)
- James Manfield
- Oxford Functional Neurosurgery, John Radcliffe Hospital, Oxford, UK
| | - Sheena Thomas
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Marko Bogdanovic
- Oxford Functional Neurosurgery, John Radcliffe Hospital, Oxford, UK
| | | | | | - Alexander L Green
- Oxford Functional Neurosurgery, John Radcliffe Hospital, Oxford, UK; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - James J FitzGerald
- Oxford Functional Neurosurgery, John Radcliffe Hospital, Oxford, UK; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
| |
Collapse
|
22
|
Calvano A, Kleinholdermann U, Heun AS, Bopp MHA, Nimsky C, Timmermann L, Pedrosa DJ. Structural connectivity of low-frequency subthalamic stimulation for improving stride length in Parkinson's disease. Neuroimage Clin 2024; 42:103591. [PMID: 38507954 PMCID: PMC10965492 DOI: 10.1016/j.nicl.2024.103591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/07/2024] [Accepted: 03/13/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND A reduction in stride length is considered a key characteristic of gait kinematics in Parkinson's disease (PD) and has been identified as a predictor of falls. Although low-frequency stimulation (LFS) has been suggested as a method to improve gait characteristics, the underlying structural network is not well understood. OBJECTIVE This study aims to investigate the structural correlates of changes in stride length during LFS (85 Hz). METHODS Objective gait performance was retrospectively evaluated in 19 PD patients who underwent deep brain stimulation (DBS) at 85 Hz and 130 Hz. Individual DBS contacts and volumes of activated tissue (VAT) were computed using preoperative magnetic resonance imaging (MRI) and postoperative computed tomography (CT) scans. Structural connectivity profiles to predetermined cortical and mesencephalic areas were estimated using a normative connectome. RESULTS LFS led to a significant improvement in stride length compared to 130 Hz stimulation. The intersection between VAT and the associative subregion of the subthalamic nucleus (STN) was associated with an improvement in stride length and had structural connections to the supplementary motor area, prefrontal cortex, and pedunculopontine nucleus. Conversely, we found that a lack of improvement was linked to stimulation volumes connected to cortico-diencephalic fibers bypassing the STN dorsolaterally. The robustness of the connectivity model was verified through leave-one-patient-out, 5-, and 10-fold cross cross-validation paradigms. CONCLUSION These findings offer new insights into the structural connectivity that underlies gait changes following LFS. Targeting the non-motor subregion of the STN with LFS on an individual level may present a potential therapeutic approach for PD patients with gait disorders.
Collapse
Affiliation(s)
- Alexander Calvano
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Urs Kleinholdermann
- Department of Neurology, Philipps-University Marburg, Marburg, Germany; Center of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany
| | | | - Miriam H A Bopp
- Center of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany; Department of Neurosurgery, Philipps-University Marburg, Marburg, Germany
| | - Christopher Nimsky
- Center of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany; Department of Neurosurgery, Philipps-University Marburg, Marburg, Germany
| | - Lars Timmermann
- Department of Neurology, Philipps-University Marburg, Marburg, Germany; Center of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany
| | - David J Pedrosa
- Department of Neurology, Philipps-University Marburg, Marburg, Germany; Center of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany.
| |
Collapse
|
23
|
Deuter D, Mederer T, Kohl Z, Forras P, Rosengarth K, Schlabeck M, Röhrl D, Wendl C, Fellner C, Schmidt NO, Schlaier J. Amelioration of Parkinsonian tremor evoked by DBS: which role play cerebello-(sub)thalamic fiber tracts? J Neurol 2024; 271:1451-1461. [PMID: 38032372 PMCID: PMC10896868 DOI: 10.1007/s00415-023-12095-1] [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: 08/10/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Current pathophysiological models of Parkinson's disease (PD) assume a malfunctioning network being adjusted by the DBS signal. As various authors showed a main involvement of the cerebellum within this network, cerebello-cerebral fiber tracts are gaining special interest regarding the mediation of DBS effects. OBJECTIVES The crossing and non-decussating fibers of the dentato-rubro-thalamic tract (c-DRTT/nd-DRTT) and the subthalamo-ponto-cerebellar tract (SPCT) are thought to build up an integrated network enabling a bidimensional communication between the cerebellum and the basal ganglia. The aim of this study was to investigate the influence of these tracts on clinical control of Parkinsonian tremor evoked by DBS. METHODS We analyzed 120 electrode contacts from a cohort of 14 patients with tremor-dominant or equivalence-type PD having received bilateral STN-DBS. Probabilistic tractography was performed to depict the c-DRTT, nd-DRTT, and SPCT. Distance maps were calculated for the tracts and correlated to clinical tremor control for each electrode pole. RESULTS A significant difference between "effective" and "less-effective" contacts was only found for the c-DRTT (p = 0.039), but not for the SPCT, nor the nd-DRTT. In logistic and linear regressions, significant results were also found for the c-DRTT only (pmodel logistic = 0.035, ptract logistic = 0,044; plinear = 0.027). CONCLUSIONS We found a significant correlation between the distance of the DBS electrode pole to the c-DRTT and the clinical efficacy regarding tremor reduction. The c-DRTT might therefore play a major role in the mechanisms of alleviation of Parkinsonian tremor and could eventually serve as a possible DBS target for tremor-dominant PD in future.
Collapse
Affiliation(s)
- Daniel Deuter
- Department of Neurosurgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
| | - Tobias Mederer
- Department of Neurosurgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Zacharias Kohl
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Neurology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Neurology, Regensburg Medbo District Hospital, Universitätsstraße 84, 93053, Regensburg, Germany
| | - Patricia Forras
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Neurology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Neurology, Regensburg Medbo District Hospital, Universitätsstraße 84, 93053, Regensburg, Germany
| | - Katharina Rosengarth
- Department of Neurosurgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Mona Schlabeck
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Anesthesiology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Daniela Röhrl
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Anesthesiology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Christina Wendl
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Radiology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Department of Radiology, Regensburg Medbo District Hospital, Universitätsstraße 84, 93053, Regensburg, Germany
| | - Claudia Fellner
- Department of Radiology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Nils-Ole Schmidt
- Department of Neurosurgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Jürgen Schlaier
- Department of Neurosurgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Center for Deep Brain Stimulation, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| |
Collapse
|
24
|
Rifi Z, Remore LG, Tolossa M, Wei W, Sun XR, Bari AA. Somatotopic organization of the ventral nuclear group of the dorsal thalamus: deep brain stimulation for neuropathic pain reveals new insights into the facial homunculus. Brain Struct Funct 2024; 229:349-358. [PMID: 38172466 DOI: 10.1007/s00429-023-02733-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
Deep Brain Stimulation (DBS) is an experimental treatment for medication-refractory neuropathic pain. The ventral posteromedial (VPM) and ventral posterolateral (VPL) nuclei of the thalamus are popular targets for the treatment of facial and limb pain, respectively. While intraoperative testing is used to adjust targeting of patient-specific pain locations, a better understanding of thalamic somatotopy may improve targeting of specific body regions including the individual trigeminal territories, face, arm, and leg. To elucidate the somatotopic organization of the ventral nuclear group of the dorsal thalamus using in vivo macrostimulation data from patients undergoing DBS for refractory neuropathic pain. In vivo macrostimulation data was retrospectively collected for 14 patients who underwent DBS implantation for neuropathic pain syndromes at our institution. 56 contacts from 14 electrodes reconstructed with LeadDBS were assigned to macrostimulation-related body regions: tongue, face, arm, or leg. 33 contacts from 9 electrodes were similarly assigned to one of three trigeminal territories: V1, V2, or V3. MNI coordinates in the x, y, and z axes were compared by using MANOVA. Across the horizontal plane of the ventral nuclear group of the dorsal thalamus, the tongue was represented significantly medially, followed by the face, arm, and leg most laterally (p < 0.001). The trigeminal territories displayed significant mediolateral distribution, proceeding from V1 and V2 most medial to V3 most lateral (p < 0.001). Along the y-axis, V2 was also significantly anterior to V3 (p = 0.014). While our results showed that the ventral nuclear group of the dorsal thalamus displayed mediolateral somatotopy of the tongue, face, arm, and leg mirroring the cortical homunculus, the mediolateral distribution of trigeminal territories did not mirror the established cortical homunculus. This finding suggests that the facial homunculus may be inverted in the ventral nuclear group of the dorsal thalamus.
Collapse
Affiliation(s)
- Ziad Rifi
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA.
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - Luigi Gianmaria Remore
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
- University of Milan "LA STATALE", Milan, Italy
| | - Meskerem Tolossa
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Wenxin Wei
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Xiaonan R Sun
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Ausaf A Bari
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| |
Collapse
|
25
|
Hollunder B, Ostrem JL, Sahin IA, Rajamani N, Oxenford S, Butenko K, Neudorfer C, Reinhardt P, Zvarova P, Polosan M, Akram H, Vissani M, Zhang C, Sun B, Navratil P, Reich MM, Volkmann J, Yeh FC, Baldermann JC, Dembek TA, Visser-Vandewalle V, Alho EJL, Franceschini PR, Nanda P, Finke C, Kühn AA, Dougherty DD, Richardson RM, Bergman H, DeLong MR, Mazzoni A, Romito LM, Tyagi H, Zrinzo L, Joyce EM, Chabardes S, Starr PA, Li N, Horn A. Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation. Nat Neurosci 2024; 27:573-586. [PMID: 38388734 PMCID: PMC10917675 DOI: 10.1038/s41593-024-01570-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 01/05/2024] [Indexed: 02/24/2024]
Abstract
Frontal circuits play a critical role in motor, cognitive and affective processing, and their dysfunction may result in a variety of brain disorders. However, exactly which frontal domains mediate which (dys)functions remains largely elusive. We studied 534 deep brain stimulation electrodes implanted to treat four different brain disorders. By analyzing which connections were modulated for optimal therapeutic response across these disorders, we segregated the frontal cortex into circuits that had become dysfunctional in each of them. Dysfunctional circuits were topographically arranged from occipital to frontal, ranging from interconnections with sensorimotor cortices in dystonia, the primary motor cortex in Tourette's syndrome, the supplementary motor area in Parkinson's disease, to ventromedial prefrontal and anterior cingulate cortices in obsessive-compulsive disorder. Our findings highlight the integration of deep brain stimulation with brain connectomics as a powerful tool to explore couplings between brain structure and functional impairments in the human brain.
Collapse
Affiliation(s)
- Barbara Hollunder
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jill L Ostrem
- Movement Disorders and Neuromodulation Centre, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ilkem Aysu Sahin
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Nanditha Rajamani
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Simón Oxenford
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Pablo Reinhardt
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Zvarova
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Mircea Polosan
- Université Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Psychiatry, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Harith Akram
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Matteo Vissani
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Chencheng Zhang
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pavel Navratil
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Martin M Reich
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Juan Carlos Baldermann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Till A Dembek
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Pranav Nanda
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carsten Finke
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea A Kühn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hagai Bergman
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
- Department of Medical Neurobiology, Institute of Medical Research Israel-Canada, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Mahlon R DeLong
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Luigi M Romito
- Parkinson and Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Himanshu Tyagi
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Department of Neuropsychiatry, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Eileen M Joyce
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Department of Neuropsychiatry, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Stephan Chabardes
- Université Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Neurosurgery, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Philip A Starr
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Ningfei Li
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
26
|
Lee WL, Ward N, Petoe M, Moorhead A, Lawson K, Xu SS, Bulluss K, Thevathasan W, McDermott H, Perera T. Detection of evoked resonant neural activity in Parkinson's disease. J Neural Eng 2024; 21:016031. [PMID: 38364279 DOI: 10.1088/1741-2552/ad2a36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/16/2024] [Indexed: 02/18/2024]
Abstract
Objective. This study investigated a machine-learning approach to detect the presence of evoked resonant neural activity (ERNA) recorded during deep brain stimulation (DBS) of the subthalamic nucleus (STN) in people with Parkinson's disease.Approach. Seven binary classifiers were trained to distinguish ERNA from the background neural activity using eight different time-domain signal features.Main results. Nested cross-validation revealed a strong classification performance of 99.1% accuracy, with 99.6% specificity and 98.7% sensitivity to detect ERNA. Using a semi-simulated ERNA dataset, the results show that a signal-to-noise ratio of 15 dB is required to maintain a 90% classifier sensitivity. ERNA detection is feasible with an appropriate combination of signal processing, feature extraction and classifier. Future work should consider reducing the computational complexity for use in real-time applications.Significance. The presence of ERNA can be used to indicate the location of a DBS electrode array during implantation surgery. The confidence score of the detector could be useful for assisting clinicians to adjust the position of the DBS electrode array inside/outside the STN.
Collapse
Affiliation(s)
- Wee-Lih Lee
- Bionics Institute, East Melbourne, Australia
- Medical Bionics Department, University of Melbourne, Parkville, Australia
| | - Nicole Ward
- School of Biomedical Engineering, University of Sydney, Camperdown, Australia
| | - Matthew Petoe
- Bionics Institute, East Melbourne, Australia
- Medical Bionics Department, University of Melbourne, Parkville, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
| | - Ashton Moorhead
- Bionics Institute, East Melbourne, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
| | - Kiaran Lawson
- Bionics Institute, East Melbourne, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
| | - San San Xu
- Bionics Institute, East Melbourne, Australia
- Medical Bionics Department, University of Melbourne, Parkville, Australia
- National Hospital for Neurology and Neurosurgery, Queen Square, United Kingdom
| | - Kristian Bulluss
- Bionics Institute, East Melbourne, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
- Department of Neurosurgery, Austin Hospital, Heidelberg, Australia
- Department of Neurosurgery, Cabrini Hospital, Malvern, Australia
- Department of Neurosurgery, St. Vincent's Hospital, Fitzroy, Australia
- Department of Surgery, University of Melbourne, Parkville, Australia
| | - Wesley Thevathasan
- Bionics Institute, East Melbourne, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
- Department of Neurology, Austin Hospital, Heidelberg, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Parkville, Australia
| | - Hugh McDermott
- Medical Bionics Department, University of Melbourne, Parkville, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
- Department of Medicine, University of Melbourne, Parkville, Australia
| | - Thushara Perera
- Bionics Institute, East Melbourne, Australia
- Medical Bionics Department, University of Melbourne, Parkville, Australia
- DBS Technologies Pty Ltd, East Melbourne, Australia
| |
Collapse
|
27
|
Acevedo N, Rossell S, Castle D, Groves C, Cook M, McNeill P, Olver J, Meyer D, Perera T, Bosanac P. Clinical outcomes of deep brain stimulation for obsessive-compulsive disorder: Insight as a predictor of symptom changes. Psychiatry Clin Neurosci 2024; 78:131-141. [PMID: 37984432 PMCID: PMC10952286 DOI: 10.1111/pcn.13619] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 10/18/2023] [Accepted: 11/11/2023] [Indexed: 11/22/2023]
Abstract
AIM Deep brain stimulation (DBS) is a safe and effective treatment option for people with refractory obsessive-compulsive disorder (OCD). Yet our understanding of predictors of response and prognostic factors remains rudimentary, and long-term comprehensive follow-ups are lacking. We aim to investigate the efficacy of DBS therapy for OCD patients, and predictors of clinical response. METHODS Eight OCD participants underwent DBS stimulation of the nucleus accumbens (NAc) in an open-label longitudinal trial, duration of follow-up varied between 9 months and 7 years. Post-operative care involved comprehensive fine tuning of stimulation parameters and adjunct multidisciplinary therapy. RESULTS Six participants achieved clinical response (35% improvement in obsessions and compulsions on the Yale Brown Obsessive Compulsive Scale (YBOCS)) within 6-9 weeks, response was maintained at last follow up. On average, the YBOCS improved by 45% at last follow up. Mixed linear modeling elucidated directionality of symptom changes: insight into symptoms strongly predicted (P = 0.008) changes in symptom severity during DBS therapy, likely driven by initial changes in depression and anxiety. Precise localization of DBS leads demonstrated that responders most often had their leads (and active contacts) placed dorsal compared to non-responders, relative to the Nac. CONCLUSION The clinical efficacy of DBS for OCD is demonstrated, and mediators of changes in symptoms are proposed. The symptom improvements within this cohort should be seen within the context of the adjunct psychological and biopsychosocial care that implemented a shared decision-making approach, with flexible iterative DBS programming. Further research should explore the utility of insight as a clinical correlate of response. The trial was prospectively registered with the ANZCTR (ACTRN12612001142820).
Collapse
Affiliation(s)
- Nicola Acevedo
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
- St Vincent's HospitalMelbourneVictoriaAustralia
| | - Susan Rossell
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
- St Vincent's HospitalMelbourneVictoriaAustralia
| | - David Castle
- St Vincent's HospitalMelbourneVictoriaAustralia
- Centre for Addiction and Mental HealthUniversity of TorontoTorontoOntarioCanada
| | | | - Mark Cook
- St Vincent's HospitalMelbourneVictoriaAustralia
| | | | - James Olver
- Department of PsychiatryUniversity of MelbourneMelbourneVictoriaAustralia
| | - Denny Meyer
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
| | - Thushara Perera
- Bionics InstituteEast MelbourneVictoriaAustralia
- Department of Medical BionicsThe University of MelbourneMelbourneVictoriaAustralia
| | - Peter Bosanac
- St Vincent's HospitalMelbourneVictoriaAustralia
- Department of PsychiatryUniversity of MelbourneMelbourneVictoriaAustralia
| |
Collapse
|
28
|
Hart MG, Polyhronopoulos N, Sandhu MK, Honey CR. Deep Brain Stimulation Improves Symptoms of Spasmodic Dysphonia Through Targeting of Thalamic Sensorimotor Connectivity. Neurosurgery 2024; 94:00006123-990000000-01027. [PMID: 38251897 PMCID: PMC11073779 DOI: 10.1227/neu.0000000000002836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/27/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Spasmodic dysphonia is a dystonia of the vocal chords producing difficulty with speech. Current hypotheses are that this is a condition of dysregulated thalamic sensory motor integration. A recent randomized controlled trial of thalamic deep brain stimulation (DBS) demonstrated its safety and efficacy. Our objective was to determine whether the outcome could be predicted by stimulation of thalamic sensorimotor areas and adjacent white matter connectivity as assessed by diffusion tractography. METHODS A cohort of 6 participants undergoing thalamic DBS for adductor spasmodic dysphonia was studied. Electrodes were localized with the Lead-DBS toolbox. Group-based analyses were performed with atlases, coordinates, and using voxel-based symptom mapping. Diffusion tensor imaging (3 T, 64 directions, 2-mm isotropic) was used to perform individual probabilistic tractography (cerebellothalamic tract and pallidothalamic tract) and segmentation of the thalamus. Monopolar review was performed at 0.5 V and binarised as effective or ineffective. RESULTS Effective contacts stimulated more of thalamic sensorimotor areas than ineffective contacts (P < .05, false discovery rate corrected). This effect was consistent across analytical and statistical techniques. Group-level and tractography analyses did not identify a specific "sweet spot" suggesting the benefit of DBS is derived from modulating individual thalamic sensorimotor areas. Stimulations at 1 year involved predicted thalamic sensorimotor regions with additional cerebellothalamic tract involvement. CONCLUSION Stimulation of thalamic sensorimotor areas was associated with improvement in symptoms of spasmodic dysphonia. These data are consistent with DBS acting on pathophysiologically dysregulated thalamic sensorimotor integration in spasmodic dysphonia.
Collapse
Affiliation(s)
- Michael G. Hart
- St George's, University of London & St George's Hospitals NHS Foundation Trust, Institute of Molecular and Clinical Sciences, Neurosciences Research Centre, London, UK
| | - Nancy Polyhronopoulos
- Division of Neurosurgery, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mandeep K. Sandhu
- Division of Neurosurgery, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher R. Honey
- Division of Neurosurgery, University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
29
|
Brandt GA, Stopic V, van der Linden C, Strelow JN, Petry-Schmelzer JN, Baldermann JC, Visser-Vandewalle V, Fink GR, Barbe MT, Dembek TA. A Retrospective Comparison of Multiple Approaches to Anatomically Informed Contact Selection in Subthalamic Deep Brain Stimulation for Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:575-587. [PMID: 38427498 DOI: 10.3233/jpd-230200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Background Conventional deep brain stimulation (DBS) programming via trial-and-error warrants improvement to ensure swift achievement of optimal outcomes. The definition of a sweet spot for subthalamic DBS in Parkinson's disease (PD-STN-DBS) may offer such advancement. Objective This investigation examines the association of long-term motor outcomes with contact selection during monopolar review and different strategies for anatomically informed contact selection in a retrospective real-life cohort of PD-STN-DBS. Methods We compared contact selection based on a monopolar review (MPR) to multiple anatomically informed contact selection strategies in a cohort of 28 PD patients with STN-DBS. We employed a commercial software package for contact selection based on visual assessment of individual anatomy following two predefined strategies and two algorithmic approaches with automatic targeting of either the sensorimotor STN or our previously published sweet spot. Similarity indices between chronic stimulation and contact selection strategies were correlated to motor outcomes at 12 months follow-up. Results Lateralized motor outcomes of chronic DBS were correlated to the similarity between chronic stimulation and visual contact selection targeting the dorsal part of the posterior STN (rho = 0.36, p = 0.007). Similar relationships could not be established for MPR or any of the other investigated strategies. Conclusions Our data demonstrates that a visual contact selection following a predefined strategy can be linked to beneficial long-term motor outcomes in PD-STN-DBS. Since similar correlations could not be observed for the other approaches to anatomically informed contact selection, we conclude that clear definitions and prospective validation of any approach to imaging-based DBS-programming is warranted.
Collapse
Affiliation(s)
- Gregor A Brandt
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Vasilija Stopic
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Christina van der Linden
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Joshua N Strelow
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
- Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Jan N Petry-Schmelzer
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Juan Carlos Baldermann
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Gereon R Fink
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Michael T Barbe
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Till A Dembek
- Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| |
Collapse
|
30
|
Bobin M, Sulzer N, Bründler G, Staib M, Imbach LL, Stieglitz LH, Krauss P, Bichsel O, Baumann CR, Frühholz S. Direct subthalamic nucleus stimulation influences speech and voice quality in Parkinson's disease patients. Brain Stimul 2024; 17:112-124. [PMID: 38272256 DOI: 10.1016/j.brs.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/21/2023] [Accepted: 01/16/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND DBS of the subthalamic nucleus (STN) considerably ameliorates cardinal motor symptoms in PD. Reported STN-DBS effects on secondary dysarthric (speech) and dysphonic symptoms (voice), as originating from vocal tract motor dysfunctions, are however inconsistent with rather deleterious outcomes based on post-surgical assessments. OBJECTIVE To parametrically and intra-operatively investigate the effects of deep brain stimulation (DBS) on perceptual and acoustic speech and voice quality in Parkinson's disease (PD) patients. METHODS We performed an assessment of instantaneous intra-operative speech and voice quality changes in PD patients (n = 38) elicited by direct STN stimulations with variations of central stimulation features (depth, laterality, and intensity), separately for each hemisphere. RESULTS First, perceptual assessments across several raters revealed that certain speech and voice symptoms could be improved with STN-DBS, but this seems largely restricted to right STN-DBS. Second, computer-based acoustic analyses of speech and voice features revealed that both left and right STN-DBS could improve dysarthric speech symptoms, but only right STN-DBS can considerably improve dysphonic symptoms, with left STN-DBS being restricted to only affect voice intensity features. Third, several subareas according to stimulation depth and laterality could be identified in the motoric STN proper and close to the associative STN with optimal (and partly suboptimal) stimulation outcomes. Fourth, low-to-medium stimulation intensities showed the most optimal and balanced effects compared to high intensities. CONCLUSIONS STN-DBS can considerably improve both speech and voice quality based on a carefully arranged stimulation regimen along central stimulation features.
Collapse
Affiliation(s)
- Marine Bobin
- Cognitive and Affective Neuroscience Unit, University of Zürich, 8050 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
| | - Neil Sulzer
- Cognitive and Affective Neuroscience Unit, University of Zürich, 8050 Zürich, Switzerland
| | - Gina Bründler
- Cognitive and Affective Neuroscience Unit, University of Zürich, 8050 Zürich, Switzerland
| | - Matthias Staib
- Cognitive and Affective Neuroscience Unit, University of Zürich, 8050 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
| | - Lukas L Imbach
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland; Department of Neurology, University Hospital Zurich, 8091 Zurich, Switzerland; Swiss Epilepsy Center, Klinik Lengg, 8008 Zurich, Switzerland
| | - Lennart H Stieglitz
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Philipp Krauss
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; Department of Neurosurgery, University Hospital Augsburg, 86159 Augsburg, Germany
| | - Oliver Bichsel
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Christian R Baumann
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland; Department of Neurology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Sascha Frühholz
- Cognitive and Affective Neuroscience Unit, University of Zürich, 8050 Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland; Department of Psychology, University of Oslo, 0373 Oslo, Norway.
| |
Collapse
|
31
|
Kroneberg D, Al-Fatly B, Morkos C, Steiner LA, Schneider GH, Kühn A. Kinematic Effects of Combined Subthalamic and Dorsolateral Nigral Deep Brain Stimulation in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:269-282. [PMID: 38363617 PMCID: PMC10977420 DOI: 10.3233/jpd-230181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 02/17/2024]
Abstract
Background Additional stimulation of the substantia nigra (SNr) has been proposed to target axial symptoms and gait impairment in patients with Parkinson's disease (PD). Objective This study aimed to characterize effects of combined deep brain stimulation (DBS) of the subthalamic nucleus (STN) and SNr on gait performance in PD and to map stimulation sites within the SNr. Methods In a double-blinded crossover design, 10 patients with PD and gait impairment underwent clinical examination and kinematic assessment with STN DBS, combined STN+SNr DBS and OFF DBS 30 minutes after reprogramming. To confirm stimulation within the SNr, electrodes, active contacts, and stimulation volumes were modeled in a common space and overlap with atlases of SNr was computed. Results Overlap of stimulation volumes with dorsolateral SNr was confirmed for all patients. UPDRS III, scoring of freezing during turning and transitioning, stride length, stride velocity, and range of motion of shank, knee, arm, and trunk as well as peak velocities during turning and transitions and turn duration were improved with STN DBS compared to OFF. On cohort level, no further improvement was observed with combined STN+SNr DBS but additive improvement of spatiotemporal gait parameters was observed in individual subjects. Conclusions Combined high frequency DBS of the STN and dorsolateral SNr did not consistently result in additional short-term kinematic or clinical benefit compared to STN DBS. Stimulation intervals, frequency, and patient selection for target symptoms as well as target region within the SNr need further refinement in future trials.
Collapse
Affiliation(s)
- Daniel Kroneberg
- Department of Neurology with Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Bassam Al-Fatly
- Department of Neurology with Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Cornelia Morkos
- Department of Neurology with Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Leon Amadeus Steiner
- Department of Neurology with Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Gerd-Helge Schneider
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - A. Kühn
- Department of Neurology with Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Charite - Universitatsmedizin Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Charité – Universitätsmedizin Berlin, Berlin, Germany
- NeuroCure, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
32
|
Yuan T, Chen Y, Zhu G, Zhang J. The Related Factors and Effect of Electrode Displacement on Motor Outcome of Subthalamic Nuclei Deep Brain Stimulation in Parkinson's Disease. J Clin Med 2023; 12:7561. [PMID: 38137630 PMCID: PMC10744115 DOI: 10.3390/jcm12247561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Previous studies have revealed the existence of electrode displacement during subthalamic nucleus deep brain stimulation (STN-DBS). However, the effect of electrode displacement on treatment outcomes is still unclear. In this study, we aimed to analyze the related factors of electrode displacement and assess postoperative electrode displacement in relation to the motor outcomes of STN-DBS. METHODS A total of 88 patients aged 62.73 ± 6.35 years (55 males and 33 females) with Parkinson's disease undergoing STN-DBS, with comprehensive clinical characterization before and 1 month after surgery, were involved retrospectively and divided into a cross-incision group and cannula puncture group according to different dura opening methods. The electrode displacement, unilateral pneumocephalus volume percent (uPVP), and brain volume percent were estimated. RESULTS A significant anterior and lateral electrode displacement was observed among all implanted electrodes after pneumocephalus absorption (p < 0.0001). The degree of electrode displacement was positively correlated with the uPVP (p = 0.005) and smaller in females than males (p = 0.0384). Electrode displacement was negatively correlated with motor improvement following STN-DBS in both on-medication and off-medication conditions (p < 0.05). Dural puncture reduced the uPVP (p < 0.0001) and postoperative electrode displacement (p = 0.0086) compared with dural incision. CONCLUSIONS Electrode displacement had a negative impact on the therapeutic efficacy of STN-DBS. Opening the dura via cannula puncture is recommended to increase the accuracy of the lead implantation.
Collapse
Affiliation(s)
- Tianshuo Yuan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yingchuan Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| |
Collapse
|
33
|
Deuter D, Torka E, Kohl Z, Schmidt NO, Schlaier J. Mediation of Tremor Control by the Decussating and Nondecussating Part of the Dentato-Rubro-Thalamic Tract in Deep Brain Stimulation in Essential Tremor: Which Part Should Be Stimulated? Neuromodulation 2023; 26:1668-1679. [PMID: 35715283 DOI: 10.1016/j.neurom.2022.04.040] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 04/09/2022] [Accepted: 04/11/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES The dentato-rubro-thalamic tract (DRTT) has been found to play a major role in the mechanisms of tremor alleviation by deep brain stimulation (DBS) in essential tremor (ET). Still, the influence of the two different parts of the DRTT, consisting of crossing and nondecussating fibers, is not yet clear with respect to tremor reduction. The aim of this study was to assess the influence of the crossing and the nondecussating part of the DRTT on tremor control in ET. MATERIALS AND METHODS We investigated 80 electrode contacts in ten patients with ET who received bilateral DBS of the Nucleus ventralis intermedius of the thalamus (VIM). Preoperatively and with patients under general anesthesia, 3T magnetic resonance imaging scans were performed, including Diffusion Tensor Imaging scans with 64 gradient directions. We calculated the course of the two parts of the DRTT based on a workflow for probabilistic fiber tracking including protocols for correction of susceptibility- and eddy current-induced distortions. Distances of electrode contacts were correlated with clinical data from neurologic single pole testing. RESULTS Voltage- and current-steered systems were analyzed separately. Regarding postural tremor, effective contacts showed significantly lower distances to both parts of the DRTT (crossing p < 0.001, nondecussating p < 0.05) in voltage-steered systems. Regarding intentional tremor, significant results were only found for the crossing part (p < 0.01). Regarding both tremor types, effective contacts were closer to the crossing part, unlike less effective contacts. Nonlinear regression analyses using a logistic model showed higher coefficients for the crossing part of the DRTT. Multivariate regression models including distances to both parts of the DRTT showed a significant influence of only the crossing part. Analysis of current-steered systems showed unstable data, probably because of the small number of analyzed patients. CONCLUSIONS Our data suggest an involvement of both parts of the DRTT in tremor reduction, indicating mediation of DBS effects by both fiber bundles, although the crossing part showed stronger correlations with good clinical responses. Nevertheless, special attention should be paid to methodologic aspects when using probabilistic tractography for patient-specific targeting to avoid uncertain and inaccurate results.
Collapse
Affiliation(s)
- Daniel Deuter
- Department of Neurosurgery, University of Regensburg Medical Center, Regensburg, Germany; Center for Deep Brain Stimulation, University of Regensburg Medical Center, Regensburg, Germany.
| | - Elisabeth Torka
- Center for Deep Brain Stimulation, University of Regensburg Medical Center, Regensburg, Germany; Department of Neurology, University of Regensburg Medical Center, Regensburg, Germany
| | - Zacharias Kohl
- Center for Deep Brain Stimulation, University of Regensburg Medical Center, Regensburg, Germany; Department of Neurology, University of Regensburg Medical Center, Regensburg, Germany
| | - Nils-Ole Schmidt
- Department of Neurosurgery, University of Regensburg Medical Center, Regensburg, Germany
| | - Juergen Schlaier
- Department of Neurosurgery, University of Regensburg Medical Center, Regensburg, Germany; Center for Deep Brain Stimulation, University of Regensburg Medical Center, Regensburg, Germany
| |
Collapse
|
34
|
Parisi V, Gregg NM, Lundstrom BN, Alcala-Zermeno JL, Worrell G, Kerezoudis P, Grewal SS, Brinkmann BH, Middlebrooks EH, Van Gompel JJ. Temporo-Parietal Extraventricular Approach for Deep Brain Stimulation Targeting the Anterior Nucleus of the Thalamus: Institutional Experience. Neurosurgery 2023; 93:1393-1406. [PMID: 37477444 DOI: 10.1227/neu.0000000000002600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 05/18/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The anterior nucleus of the thalamus (ANT) is a common target for deep brain stimulation (DBS) for drug-resistant epilepsy (DRE). However, the surgical approach to the ANT remains challenging because of its unique anatomy. This study aims to summarize our experience with the posterior temporo-parietal extraventricular (TPEV) approach targeting the ANT for DBS in DRE. METHODS We performed a retrospective analysis of patients with DRE who underwent ANT-DBS using the TPEV approach between January 2011 and February 2021. Subjects with at least 6-month follow-up were eligible. The final lead position and number of active contacts targeting the anteroventral nucleus (AV) of the ANT were assessed using Lead-DBS. Mean seizure frequency reduction percentage and responder rate (≥50% decrease in seizure frequency) were determined. RESULTS Thirty-one patients (mean age: 32.9 years; 52% female patients) were included. The mean follow-up period was 27.6 months ± 13.9 (29, 16-36). The mean seizure frequency reduction percentage was 65% ± 26 (75, 50-82). Twenty-six of 31 participants (83%) were responders, P < .001. Two subjects (6%) were seizure-free for at least 6 months at the last evaluation. Antiepileptic drugs dose and/or number decreased in 17/31 subjects (55%). The success rate for placing at least 1 contact at AV was 87% (27/31 patients) bilaterally. The number of active contacts at the AV was significantly greater in the responder group, 3.1 ± 1.3 (3, 2-4) vs 1.8 ± 1.1 (2, 1-2.5); P = .041 with a positive correlation between the number of active contacts and seizure reduction percentage; r = 0.445, R 2 = 0.198, P = .012. CONCLUSION The TPEV trajectory is a safe and effective approach to target the ANT for DBS. Future studies are needed to compare the clinical outcomes and target accuracy with the standard approaches.
Collapse
Affiliation(s)
- Veronica Parisi
- Department of Neurosurgery, AORN "Antonio Cardarelli", Naples , Italy
| | - Nicholas M Gregg
- Department of Neurology, Mayo Clinic, Rochester , Minnesota , USA
| | | | - Juan Luis Alcala-Zermeno
- Department of Neurology, Mayo Clinic, Rochester , Minnesota , USA
- Department of Neurology, Thomas Jefferson University, Philadelphia , Pennsylvania, USA
| | - Gregory Worrell
- Department of Neurology, Mayo Clinic, Rochester , Minnesota , USA
| | | | - Sanjeet S Grewal
- Department of Neurosurgery, Mayo Clinic, Jacksonville , Florida , USA
| | | | | | | |
Collapse
|
35
|
Zhao G, Cheng Y, Wang M, Wu Y, Yan J, Feng K, Yin S. Exploring the network effects of deep brain stimulation for rapid eye movement sleep behavior disorder in Parkinson's disease. Acta Neurochir (Wien) 2023; 165:3375-3384. [PMID: 37770797 DOI: 10.1007/s00701-023-05806-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/07/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND The research findings on the effects of subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinson's disease (PD) with Rapid Eye Movement Sleep Behavior Disorder (RBD) are inconsistent, and there is a lack of research on DBS electrode sites and their network effects for the explanation of the differences. Our objective is to explore the optimal stimulation sites (that is the sweet spot) and the brain network effects of STN-DBS for RBD in PD. METHODS In this study, among the 50 PD patients who underwent STN-DBS treatment, 24 PD patients with RBD were screened. According to clinical scores and imaging data, the sweet spot of STN-DBS was analyzed in PD patients with RBD, and the optimal structure and functional network models of subthalamic stimulation were constructed. RESULTS Bilateral STN-DBS can effectively improve the symptoms of RBD and other non-motor symptoms in 24 PD patients with RBD. RBD Questionnaire-Hong Kong (RBDQ-HK) score was 41.33 ± 17.45 at baseline and 30.83 ± 15.83 at 1-year follow-up, with statistical significance between them (P < 0.01). However, the MoCA score was an exception with a baseline of 22.04 ± 4.28 and a 1-year follow-up of 21.58 ± 4.33, showing no statistical significance (P = 0.12). The sweet spot and optimal network connectivity models for RBD improvement have been validated as effective. CONCLUSIONS Bilateral STN-DBS can improve the symptoms of RBD in PD. There exist the sweet spot and brain network effects of bilateral STN-DBS in the treatment of PD with RBD. Our study also demonstrates that RBD is a brain network disease.
Collapse
Affiliation(s)
- Guangrui Zhao
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
- Department of Neurosurgery, Lu'an Hospital Affiliated to Anhui Medical University, Lu'an, 237000, China
| | - Yifeng Cheng
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Min Wang
- Department of Neurology, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Yuzhang Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
| | - Jingtao Yan
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
| | - Keke Feng
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China.
| | - Shaoya Yin
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China.
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China.
| |
Collapse
|
36
|
Fayed I, Syed M, Gingold E, Alizadeh M, Sharan A, Wu C. A Novel and Simple Method Using Computed Tomography Streak Artifact to Determine the Orientation of Directional Deep Brain Stimulation Leads. Neurosurgery 2023; 93:1036-1045. [PMID: 37227135 DOI: 10.1227/neu.0000000000002536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/27/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Directional leads have garnered widespread use in deep brain stimulation (DBS) because of the ability to steer current and maximize the therapeutic window. Accurate identification of lead orientation is critical to effective programming. Although directional markers are visible on 2-dimensional imaging, precise orientation may be difficult to interpret. Recent studies have suggested methods of determining lead orientation, but these involve advanced intraoperative imaging and/or complex computational algorithms. Our objective is to develop a precise and reliable method of determining orientation of directional leads using conventional imaging techniques and readily available software. METHODS We examined postoperative thin-cut computed tomography (CT) scans and x-rays of patients who underwent DBS with directional leads from 3 vendors. Using commercially available stereotactic software, we localized the leads and planned new trajectories precisely overlaying the leads visualized on CT. We used trajectory view to locate the directional marker in a plane orthogonal to the lead and inspected the streak artifact. We then validated this method with a phantom CT model by acquiring thin-cut CT images orthogonal to 3 different leads in various orientations confirmed under direct visualization. RESULTS The directional marker creates a unique streak artifact that reflects the orientation of the directional lead. There is a hyperdense symmetric streak artifact parallel to the axis of the directional marker and a symmetric hypodense dark band orthogonal to the marker. This is often sufficient to infer the direction of the marker. If not, it at least renders 2 opposite possibilities for the direction of the marker, which can then be easily reconciled by comparison with x-ray images. CONCLUSION We propose a method to determine orientation of directional DBS leads in a precise manner on conventional imaging and readily available software. This method is reliable across DBS vendors, and it can simplify this process and aid in effective programming.
Collapse
Affiliation(s)
- Islam Fayed
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Mashaal Syed
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Eric Gingold
- Department of Radiology, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Mahdi Alizadeh
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
- Department of Radiology, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Ashwini Sharan
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Chengyuan Wu
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| |
Collapse
|
37
|
Morishita T, Sakai Y, Iida H, Yoshimura S, Fujioka S, Oda K, Tanaka SC, Abe H. Precision Mapping of Thalamic Deep Brain Stimulation Lead Positions Associated With the Microlesion Effect in Tourette Syndrome. Neurosurgery 2023; 93:875-883. [PMID: 37057914 PMCID: PMC10476847 DOI: 10.1227/neu.0000000000002484] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/10/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND The microlesion effect refers to the improvement of clinical symptoms after deep brain stimulation (DBS) lead placement and is suggested to indicate optimal lead placement. Very few studies have reported its implications in neuropsychiatric disorders. OBJECTIVE To evaluate the magnitude of the microlesion effect in Tourette syndrome and the relationship between the microlesion effect and the anatomic location of implanted DBS leads. METHODS Six male patients were included. Their median age at surgery and follow-up period were 25 years (range, 18-47) and 12 months (range, 6-24), respectively. All patients were videotaped pre- and postoperatively, and tic frequencies were counted. We also analyzed the precision of lead placement and evaluated the normative connectome associated with the microlesion area. RESULTS The microlesion effect was observed as an improvement in tic symptoms in all patients, and the long-term clinical outcomes were favorable. The median motor tic frequency was 20.2 tics/min (range, 9.7-60) at baseline and decreased to 3.2 tics/min (1.2-11.3) in patients on postoperative day 1 ( P = .043) and to 5.7 tics/min (range, 1.9-16.6) in patients on postoperative day 7 ( P = .028). Phonic tic tended to improve immediately after surgery although the changes were not significant. Image analyses revealed that the precise position of the electrode was directed toward the anteromedial centromedian nucleus. Normative connectome analysis demonstrated connections between improvement-related areas and wide areas of the prefrontal cortex. CONCLUSION This study shows that the microlesion effect may seem as an immediate improvement after optimal DBS lead placement in patients with Tourette syndrome.
Collapse
Affiliation(s)
- Takashi Morishita
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Yuki Sakai
- ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Hitoshi Iida
- Department of Psychiatry, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Saki Yoshimura
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Shinsuke Fujioka
- Department of Neurology, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Kazunori Oda
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Saori C. Tanaka
- ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
- Division of Information Science, Nara Institute of Science and Technology, Nara, Japan
| | - Hiroshi Abe
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| |
Collapse
|
38
|
Edmonds B, Miyakoshi M, Gianmaria Remore L, Ahn S, Westley Phillips H, Daida A, Salamon N, Bari A, Sankar R, Matsumoto JH, Fallah A, Nariai H. Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy. Clin Neurophysiol 2023; 154:116-125. [PMID: 37595481 PMCID: PMC10529874 DOI: 10.1016/j.clinph.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/09/2023] [Accepted: 07/24/2023] [Indexed: 08/20/2023]
Abstract
OBJECTIVE To characterize ictal EEG change in the centromedian (CM) and anterior nucleus (AN) of the thalamus, using stereoelectroencephalography (SEEG) recordings. METHODS Forty habitual seizures were analyzed in nine patients with pediatric-onset neocortical drug-resistant epilepsy who underwent SEEG (age 2-25 y) with thalamic coverage. Both visual and quantitative analysis was used to evaluate ictal EEG signal in the cortex and thalamus. The amplitude and cortico-thalamic latencies of broadband frequencies at ictal onset were measured. RESULTS Visual analysis demonstrated consistent detection of ictal EEG changes in both the CM nucleus and AN nucleus with latency to thalamic ictal EEG changes of less than 400 ms in 95% of seizures, with low-voltage fast activity being the most common ictal pattern. Quantitative broadband amplitude analysis showed consistent power changes across the frequency bands, corresponding to ictal EEG onset, while while ictal EEG latency was variable from -18.0 seconds to 13.2 seconds. There was no significant difference between detection of CM and AN ictal activity on visual or amplitude analysis. Four patients with subsequent thalamic responsive neurostimulation (RNS) demonstrated ictal EEG changes consistent with SEEG findings. CONCLUSIONS Ictal EEG changes were consistently seen at the CM and AN of the thalamus during neocortical seizures. SIGNIFICANCE It may be feasible to use a closed-loop system in the thalamus to detect and modulate seizure activity for neocortical epilepsy.
Collapse
Affiliation(s)
- Benjamin Edmonds
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.
| | - Makoto Miyakoshi
- Division of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, UCSD Medical Center, San Diego, CA, USA.
| | - Luigi Gianmaria Remore
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Samuel Ahn
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - H Westley Phillips
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Atsuro Daida
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiological Sciences, University of California, Los Angeles, CA, USA
| | - Ausaf Bari
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Raman Sankar
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA; The UCLA Children's Discovery and Innovation Institute, Los Angeles, CA, USA
| | - Joyce H Matsumoto
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Aria Fallah
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Hiroki Nariai
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA; The UCLA Children's Discovery and Innovation Institute, Los Angeles, CA, USA.
| |
Collapse
|
39
|
Calvano A, Beccaria L, Timmermann L, Bopp MHA, Gjorgjevski M, Nimsky C, Pedrosa DJ. Case report: Unilateral GPi DBS in secondary myoclonus-dystonia syndrome after acute disseminated encephalomyelitis. Front Neurol 2023; 14:1238743. [PMID: 37822522 PMCID: PMC10562570 DOI: 10.3389/fneur.2023.1238743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
Introduction Deep brain stimulation (DBS) is an established and effective therapy for movement disorders. Here, we present a case of secondary myoclonus-dystonia syndrome following acute disseminated encephalomyelitis (ADEM) in childhood, which was alleviated by DBS. Using a patient-specific connectome analysis, we sought to characterise the fibres and circuits affected by stimulation. Case report We report a case of a 20-year-old man with progressive dystonia, myoclonic jerks, and impaired concentration following childhood ADEM. Motor assessments utilising the Unified Myoclonus Rating Scale (UMRS) and the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) revealed a greater improvement in dystonia compared to myoclonus following adjustments of DBS parameters. These adjustments were based on visualisation of electrode position and volume of tissue activated (VTA) 3 years after surgery. A patient-specific connectome analysis using the VTA as a region of interest revealed fibre tracts connecting to the cerebello-thalamo-cortical network and the superior frontal gyrus in addition to basal ganglia circuits as particularly effective. Conclusion Globus pallidus internus (GPi) DBS shows promise as a treatment for secondary myoclonus-dystonia syndromes. Personalised structural considerations, tailored to individual symptoms and clinical characteristics, can provide significant benefits. Patient-specific connectome analysis, specifically, offers insights into the structures involved and may enable a favourable treatment response.
Collapse
Affiliation(s)
- Alexander Calvano
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Laura Beccaria
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Lars Timmermann
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behaviour (CMBB), Marburg, Germany
| | - Miriam H. A. Bopp
- Center for Mind, Brain and Behaviour (CMBB), Marburg, Germany
- Department of Neurosurgery, Philipps-University Marburg, Marburg, Germany
| | - Marko Gjorgjevski
- Department of Neurosurgery, Philipps-University Marburg, Marburg, Germany
| | - Christopher Nimsky
- Center for Mind, Brain and Behaviour (CMBB), Marburg, Germany
- Department of Neurosurgery, Philipps-University Marburg, Marburg, Germany
| | - David J. Pedrosa
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behaviour (CMBB), Marburg, Germany
| |
Collapse
|
40
|
Yin Z, Ma R, An Q, Xu Y, Gan Y, Zhu G, Jiang Y, Zhang N, Yang A, Meng F, Kühn AA, Bergman H, Neumann WJ, Zhang J. Pathological pallidal beta activity in Parkinson's disease is sustained during sleep and associated with sleep disturbance. Nat Commun 2023; 14:5434. [PMID: 37669927 PMCID: PMC10480217 DOI: 10.1038/s41467-023-41128-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/23/2023] [Indexed: 09/07/2023] Open
Abstract
Parkinson's disease (PD) is associated with excessive beta activity in the basal ganglia. Brain sensing implants aim to leverage this biomarker for demand-dependent adaptive stimulation. Sleep disturbance is among the most common non-motor symptoms in PD, but its relationship with beta activity is unknown. To investigate the clinical potential of beta activity as a biomarker for sleep quality in PD, we recorded pallidal local field potentials during polysomnography in PD patients off dopaminergic medication and compared the results to dystonia patients. PD patients exhibited sustained and elevated beta activity across wakefulness, rapid eye movement (REM), and non-REM sleep, which was correlated with sleep disturbance. Simulation of adaptive stimulation revealed that sleep-related beta activity changes remain unaccounted for by current algorithms, with potential negative outcomes in sleep quality and overall quality of life for patients.
Collapse
Affiliation(s)
- Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ruoyu Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yichen Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yifei Gan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yin Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Ning Zhang
- Department of Neuropsychiatry, Behavioral Neurology and Sleep Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anchao Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangang Meng
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Andrea A Kühn
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Chariteplatz 1, 10117, Berlin, Germany
- Exzellenzcluster - NeuroCure, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Hagai Bergman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
- Department of Medical Neurobiology (Physiology), Institute of Medical Research - Israel Canada (IMRIC), Faculty of Medicine, The Hebrew University, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Wolf-Julian Neumann
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Chariteplatz 1, 10117, Berlin, Germany.
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
- Beijing Key Laboratory of Neurostimulation, Beijing, China.
| |
Collapse
|
41
|
Fan H, Guo Z, Jiang Y, Xue T, Yin Z, Xie H, Diao Y, Hu T, Zhao B, Wu D, An Q, Xu Y, Gao Y, Bai Y, Zhang J. Optimal subthalamic stimulation sites and related networks for freezing of gait in Parkinson's disease. Brain Commun 2023; 5:fcad238. [PMID: 37701817 PMCID: PMC10493641 DOI: 10.1093/braincomms/fcad238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/10/2023] [Accepted: 09/02/2023] [Indexed: 09/14/2023] Open
Abstract
Freezing of gait is a common and debilitating symptom in Parkinson's disease. Although high-frequency subthalamic deep brain stimulation is an effective treatment for Parkinson's disease, post-operative freezing of gait severity has been reported to alleviate, deteriorate or remain constant. We conducted this study to explore the optimal stimulation sites and related connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait in Parkinson's disease. A total of 76 Parkinson's disease patients with freezing of gait who underwent bilateral high-frequency subthalamic stimulation were retrospectively included. The volumes of tissue activated were estimated based on individual electrode reconstruction. The optimal and sour stimulation sites were calculated at coordinate/voxel/mapping level and mapped to anatomical space based on patient-specific images and stimulation settings. The structural and functional predictive connectivity networks for the change of the post-operative Freezing of Gait-Questionnaire were also identified based on normative connectomes derived from the Parkinson's Progression Marker Initiative database. Leave-one-out cross-validation model validated the above results, and the model remained significant after including covariates. The dorsolateral two-thirds of the subthalamic nucleus was identified as the optimal stimulation site, while the ventrocentral portion of the right subthalamic nucleus and internal capsule surrounding the left central subthalamic nucleus were considered as the sour stimulation sites. Modulation of the fibre tracts connecting to the supplementary motor area, pre-supplementary motor area and pedunculopontine nucleus accounted for the alleviation of freezing of gait, whereas tracts connecting to medial and ventrolateral prefrontal cortices contributed to the deterioration of freezing of gait. The optimal/sour stimulation sites and structural/functional predictive connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait are identified and validated through sizable Parkinson's disease patients in this study. With the growing understanding of stimulation sites and related networks, individualized deep brain stimulation treatment with directional leads will become an optimal choice for Parkinson's disease patients with freezing of gait in the future.
Collapse
Affiliation(s)
- Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zijian Guo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- School of Biomedical Engineering, Capital Medical University, 100069 Beijing, China
| | - Yin Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Tao Xue
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yu Diao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yichen Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yuan Gao
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| |
Collapse
|
42
|
Tonroe T, McDermott H, Pearce P, Acevedo N, Thevathasan W, Xu SS, Bulluss K, Perera T. Anatomical targeting for electrode localization in subthalamic nucleus deep brain stimulation: A comparative study. J Neuroimaging 2023; 33:792-801. [PMID: 37288952 PMCID: PMC10946722 DOI: 10.1111/jon.13133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/15/2023] [Accepted: 05/31/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND AND PURPOSE In deep brain stimulation (DBS), accurate electrode placement is essential for optimizing patient outcomes. Localizing electrodes enables insight into therapeutic outcomes and development of metrics for use in clinical trials. Methods of defining anatomical targets have been described with varying accuracy and objectivity. To assess variability in anatomical targeting, we compare four methods of defining an appropriate target for DBS of the subthalamic nucleus for Parkinson's disease. METHODS The methods compared are direct visualization, red nucleus-based indirect targeting, mid-commissural point-based indirect targeting, and automated template-based targeting. This study assessed 226 hemispheres in 113 DBS recipients (39 females, 73 males, 62.2 ± 7.7 years). We utilized the electrode placement error (the Euclidean distance between the defined target and closest DBS electrode) as a metric for comparative analysis. Pairwise differences in electrode placement error across the four methods were compared using the Kruskal-Wallis H-test and Wilcoxon signed-rank tests. RESULTS Interquartile ranges of the differences in electrode placement error spanned 1.18-1.56 mm. A Kruskal-Wallis H-test reported a statistically significant difference in the median of at least two groups (H(5) = 41.052, p < .001). Wilcoxon signed-rank tests reported statistically significant difference in two comparisons: direct visualization versus red nucleus-based indirect, and direct visualization versus automated template-based methods (T < 9215, p < .001). CONCLUSIONS All methods were similarly discordant in their relative accuracy, despite having significant technical differences in their application. The differing protocols and technical aspects of each method, however, have the implication that one may be more practical depending on the clinical or research application at hand.
Collapse
Affiliation(s)
- Thomas Tonroe
- Bionics InstituteEast MelbourneVictoriaAustralia
- School of EngineeringRMIT UniversityMelbourneVictoriaAustralia
| | - Hugh McDermott
- Bionics InstituteEast MelbourneVictoriaAustralia
- DBS Technologies Pty LtdEast MelbourneVictoriaAustralia
- Medical Bionics DepartmentThe University of MelbourneEast MelbourneVictoriaAustralia
| | - Patrick Pearce
- Bionics InstituteEast MelbourneVictoriaAustralia
- Department of NeurosurgerySt Vincent's Hospital MelbourneFitzroyVictoriaAustralia
| | - Nicola Acevedo
- Bionics InstituteEast MelbourneVictoriaAustralia
- Centre for Mental HealthSwinburne University of TechnologyMelbourneVictoriaAustralia
| | - Wesley Thevathasan
- Bionics InstituteEast MelbourneVictoriaAustralia
- DBS Technologies Pty LtdEast MelbourneVictoriaAustralia
- Department of NeurologyAustin HospitalHeidelbergVictoriaAustralia
- Department of MedicineThe University of MelbourneParkvilleVictoriaAustralia
- Department of NeurologyThe Royal Melbourne HospitalParkvilleVictoriaAustralia
- Department of NeurosurgeryCabrini HospitalMalvernVictoriaAustralia
| | - San San Xu
- Bionics InstituteEast MelbourneVictoriaAustralia
- Medical Bionics DepartmentThe University of MelbourneEast MelbourneVictoriaAustralia
- Department of NeurologyAustin HospitalHeidelbergVictoriaAustralia
| | - Kristian Bulluss
- Bionics InstituteEast MelbourneVictoriaAustralia
- DBS Technologies Pty LtdEast MelbourneVictoriaAustralia
- Department of NeurosurgerySt Vincent's Hospital MelbourneFitzroyVictoriaAustralia
- Department of NeurosurgeryCabrini HospitalMalvernVictoriaAustralia
- Department of NeurosurgeryAustin HospitalHeidelbergVictoriaAustralia
- Department of SurgeryThe University of MelbourneParkvilleVictoriaAustralia
| | - Thushara Perera
- Bionics InstituteEast MelbourneVictoriaAustralia
- DBS Technologies Pty LtdEast MelbourneVictoriaAustralia
- Medical Bionics DepartmentThe University of MelbourneEast MelbourneVictoriaAustralia
| |
Collapse
|
43
|
Xu C, Qi L, Wang X, Schaper FLWVJ, Wu D, Yu T, Yan X, Jin G, Wang Q, Wang X, Huang X, Wang Y, Chen Y, Liu J, Wang Y, Horn A, Fisher RS, Ren L. Functional connectomic profile correlates with effective anterior thalamic stimulation for refractory epilepsy. Brain Stimul 2023; 16:1302-1309. [PMID: 37633491 DOI: 10.1016/j.brs.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 08/19/2023] [Accepted: 08/21/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND Deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS) is an effective treatment for refractory epilepsy; however, seizure outcome varies among individuals. Identifying a reliable noninvasive biomarker to predict good responders would be helpful. OBJECTIVES To test whether the functional connectivity between the ANT-DBS sites and the seizure foci correlates with effective seizure control in refractory epilepsy. METHODS We performed a proof-of-concept pilot study of patients with focal refractory epilepsy receiving ANT-DBS. Using normative human connectome data derived from 1000 healthy participants, we investigated whether intrinsic functional connectivity between the seizure foci and the DBS site was associated with seizure outcome. We repeated this analysis controlling for the extent of seizure foci, distance between the seizure foci and DBS site, and using functional connectivity of the ANT instead of the DBS site to test the contribution of variance in DBS sites. RESULTS Eighteen patients with two or more seizure foci were included. Greater functional connectivity between the seizure foci and the DBS site correlated with more favorable outcome. The degree of functional connectivity accounted for significant variance in clinical outcomes (DBS site: |r| = 0.773, p < 0.001 vs ANT-atlas: |r| = 0.715, p = 0.001), which remained significant when controlling for the extent of the seizure foci (|r| = 0.773, p < 0.001) and the distance between the seizure foci and DBS site (|r| = 0.777, p < 0.001). Significant correlations were independent of variance in the DBS sites (|r| = 0.148, p = 0.57). CONCLUSION These findings suggest that functional connectomic profile is a potential reliable non-invasive biomarker to predict ANT-DBS outcomes. Accordingly, the identification of ANT responders could decrease the surgical risk for patients who may not benefit and optimize the cost-effective allocation of health care resources.
Collapse
Affiliation(s)
- Cuiping Xu
- National Center for Neurological Disorders, Beijing, China; Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Lei Qi
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Xueyuan Wang
- National Center for Neurological Disorders, Beijing, China; Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Frédéric L W V J Schaper
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, United States
| | - Di Wu
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Tao Yu
- National Center for Neurological Disorders, Beijing, China; Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Xiaoming Yan
- National Center for Neurological Disorders, Beijing, China; Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Guangyuan Jin
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Qiao Wang
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Xiaopeng Wang
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Xinqi Huang
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Yuke Wang
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Yuanhong Chen
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Jinghui Liu
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Yuping Wang
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China
| | - Andreas Horn
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, United States; Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany; MGH Neurosurgery & Center for Neurotechnology and Neurorecovery (CNTR) at MGH Neurology, Massachusetts General Hospital, Harvard Medical School, United States
| | - Robert S Fisher
- Department of Neurology and Neurological Sciences and Neurosurgery by Courtesy, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Liankun Ren
- National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China; Chinese Institute for Brain Research, Beijing, China.
| |
Collapse
|
44
|
Hollunder B, Ostrem JL, Sahin IA, Rajamani N, Oxenford S, Butenko K, Neudorfer C, Reinhardt P, Zvarova P, Polosan M, Akram H, Vissani M, Zhang C, Sun B, Navratil P, Reich MM, Volkmann J, Yeh FC, Baldermann JC, Dembek TA, Visser-Vandewalle V, Alho EJL, Franceschini PR, Nanda P, Finke C, Kühn AA, Dougherty DD, Richardson RM, Bergman H, DeLong MR, Mazzoni A, Romito LM, Tyagi H, Zrinzo L, Joyce EM, Chabardes S, Starr PA, Li N, Horn A. Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.07.23286766. [PMID: 36945497 PMCID: PMC10029043 DOI: 10.1101/2023.03.07.23286766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Frontal circuits play a critical role in motor, cognitive, and affective processing - and their dysfunction may result in a variety of brain disorders. However, exactly which frontal domains mediate which (dys)function remains largely elusive. Here, we study 534 deep brain stimulation electrodes implanted to treat four different brain disorders. By analyzing which connections were modulated for optimal therapeutic response across these disorders, we segregate the frontal cortex into circuits that became dysfunctional in each of them. Dysfunctional circuits were topographically arranged from occipital to rostral, ranging from interconnections with sensorimotor cortices in dystonia, with the primary motor cortex in Tourette's syndrome, the supplementary motor area in Parkinson's disease, to ventromedial prefrontal and anterior cingulate cortices in obsessive-compulsive disorder. Our findings highlight the integration of deep brain stimulation with brain connectomics as a powerful tool to explore couplings between brain structure and functional impairment in the human brain.
Collapse
Affiliation(s)
- Barbara Hollunder
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jill L. Ostrem
- Movement Disorders and Neuromodulation Centre, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Ilkem Aysu Sahin
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Nanditha Rajamani
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Simón Oxenford
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Pablo Reinhardt
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Zvarova
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Mircea Polosan
- Univ. Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Psychiatry Department, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Harith Akram
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Matteo Vissani
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Chencheng Zhang
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pavel Navratil
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Martin M. Reich
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Juan Carlos Baldermann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Till A. Dembek
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Pranav Nanda
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carsten Finke
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andrea A. Kühn
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Darin D. Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - R. Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hagai Bergman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
- Department of Medical Neurobiology, Institute of Medical Research Israel-Canada, The Hebrew University, Hassadah Medical School, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Mahlon R. DeLong
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Luigi M. Romito
- Parkinson and Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Himanshu Tyagi
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Ludvic Zrinzo
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Eileen M. Joyce
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Stephan Chabardes
- Univ. Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Neurosurgery, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Philip A. Starr
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ningfei Li
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Horn
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
45
|
Hacker ML, Rajamani N, Neudorfer C, Hollunder B, Oxenford S, Li N, Sternberg AL, Davis TL, Konrad PE, Horn A, Charles D. Connectivity Profile for Subthalamic Nucleus Deep Brain Stimulation in Early Stage Parkinson Disease. Ann Neurol 2023; 94:271-284. [PMID: 37177857 PMCID: PMC10846105 DOI: 10.1002/ana.26674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/18/2023] [Accepted: 05/09/2023] [Indexed: 05/15/2023]
Abstract
OBJECTIVE This study was undertaken to describe relationships between electrode localization and motor outcomes from the subthalamic nucleus (STN) deep brain stimulation (DBS) in early stage Parkinson disease (PD) pilot clinical trial. METHODS To determine anatomical and network correlates associated with motor outcomes for subjects randomized to early DBS (n = 14), voxelwise sweet spot mapping and structural connectivity analyses were carried out using outcomes of motor progression (Unified Parkinson Disease Rating Scale Part III [UPDRS-III] 7-day OFF scores [∆baseline➔24 months, MedOFF/StimOFF]) and symptomatic motor improvement (UPDRS-III ON scores [%∆baseline➔24 months, MedON/StimON]). RESULTS Sweet spot mapping revealed a location associated with slower motor progression in the dorsolateral STN (anterior/posterior commissure coordinates: 11.07 ± 0.82mm lateral, 1.83 ± 0.61mm posterior, 3.53 ± 0.38mm inferior to the midcommissural point; Montreal Neurological Institute coordinates: +11.25, -13.56, -7.44mm). Modulating fiber tracts from supplementary motor area (SMA) and primary motor cortex (M1) to the STN correlated with slower motor progression across STN DBS subjects, whereas fiber tracts originating from pre-SMA and cerebellum were negatively associated with motor progression. Robustness of the fiber tract model was demonstrated in leave-one-patient-out (R = 0.56, p = 0.02), 5-fold (R = 0.50, p = 0.03), and 10-fold (R = 0.53, p = 0.03) cross-validation paradigms. The sweet spot and fiber tracts associated with motor progression revealed strong similarities to symptomatic motor improvement sweet spot and connectivity in this early stage PD cohort. INTERPRETATION These results suggest that stimulating the dorsolateral region of the STN receiving input from M1 and SMA (but not pre-SMA) is associated with slower motor progression across subjects receiving STN DBS in early stage PD. This finding is hypothesis-generating and must be prospectively tested in a larger study. ANN NEUROL 2023;94:271-284.
Collapse
Affiliation(s)
- Mallory L Hacker
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nanditha Rajamani
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Free University of Berlin and Humboldt University of Berlin, Berlin, Germany
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Barbara Hollunder
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Free University of Berlin and Humboldt University of Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt University of Berlin, Berlin, Germany
| | - Simon Oxenford
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Free University of Berlin and Humboldt University of Berlin, Berlin, Germany
| | - Ningfei Li
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Free University of Berlin and Humboldt University of Berlin, Berlin, Germany
| | - Alice L Sternberg
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Thomas L Davis
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter E Konrad
- Department of Neurosurgery, West Virginia University, Morgantown, WV, USA
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Free University of Berlin and Humboldt University of Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery and Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David Charles
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
46
|
Shofty B, Gadot R, Viswanathan A, Provenza NR, Storch EA, McKay SA, Meyers MS, Hertz AG, Avendano-Ortega M, Goodman WK, Sheth SA. Intraoperative valence testing to adjudicate between ventral capsule/ventral striatum and bed nucleus of the stria terminalis target selection in deep brain stimulation for obsessive-compulsive disorder. J Neurosurg 2023; 139:442-450. [PMID: 36681982 DOI: 10.3171/2022.10.jns221683] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/12/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Deep brain stimulation (DBS) is an accepted therapy for severe, treatment-refractory obsessive-compulsive disorder (trOCD). The optimal DBS target location within the anterior limb of the internal capsule, particularly along the anterior-posterior axis, remains elusive. Empirical evidence from several studies in the past decade has suggested that the ideal target lies in the vicinity of the anterior commissure (AC), either just anterior to the AC, above the ventral striatum (VS), or just posterior to the AC, above the bed nucleus of the stria terminalis (BNST). Various methods have been utilized to optimize target selection for trOCD DBS. The authors describe their practice of planning trajectories to both the VS and BNST and adjudicating between them with awake intraoperative valence testing to individualize permanent target selection. METHODS Eight patients with trOCD underwent awake DBS with trajectories planned for both VS and BNST targets bilaterally. The authors intraoperatively assessed the acute effects of stimulation on mood, energy, and anxiety and implanted the trajectory with the most reliable positive valence responses and least stimulation-induced side effects. The method of intraoperative target adjudication is described, and the OCD outcome at last follow-up is reported. RESULTS The mean patient age at surgery was 41.25 ± 15.1 years, and the mean disease duration was 22.75 ± 10.2 years. The median preoperative Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score was 39 (range 34-40). Two patients had previously undergone capsulotomy, with insufficient response. Seven (44%) of 16 leads were moved to the second target based on intraoperative stimulation findings, 4 of them to avoid strong negative valence effects. Three patients had an asymmetric implant (1 lead in each target). All 8 patients (100%) met full response criteria, and the mean Y-BOCS score reduction across the full cohort was 51.2% ± 12.8%. CONCLUSIONS Planning and intraoperatively testing trajectories flanking the AC-superjacent to the VS anteriorly and to the BNST posteriorly-allowed identification of positive valence responses and acute adverse effects. Awake testing helped to select between possible trajectories and identify individually optimized targets in DBS for trOCD.
Collapse
Affiliation(s)
- Ben Shofty
- 1Department of Neurosurgery, University of Utah, Salt Lake City, Utah; and
| | | | | | | | - Eric A Storch
- 3Psychiatry, Baylor College of Medicine, Houston, Texas
| | - Sarah A McKay
- 3Psychiatry, Baylor College of Medicine, Houston, Texas
| | | | | | | | | | | |
Collapse
|
47
|
Boëx C, Awadhi AA, Tyrand R, Corniola MV, Kibleur A, Fleury V, Burkhard PR, Momjian S. Validation of Lead-DBS β-Oscillation Localization with Directional Electrodes. Bioengineering (Basel) 2023; 10:898. [PMID: 37627782 PMCID: PMC10451384 DOI: 10.3390/bioengineering10080898] [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: 06/21/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/27/2023] Open
Abstract
In deep brain stimulation (DBS) studies in patients with Parkinson's disease, the Lead-DBS toolbox allows the reconstruction of the location of β-oscillations in the subthalamic nucleus (STN) using Vercise Cartesia directional electrodes (Boston Scientific). The objective was to compare these probabilistic locations with those of intraoperative monopolar β-oscillations computed from local field potentials (0.5-3 kHz) recorded by using shielded single wires and an extracranial shielded reference electrode. For each electrode contact, power spectral densities of the β-band (13-31 Hz) were compared with those of all eight electrode contacts on the directional electrodes. The DBS Intrinsic Template AtLas (DISTAL), electrophysiological, and DBS target atlases of the Lead-DBS toolbox were applied to the reconstructed electrodes from preoperative MRI and postoperative CT. Thirty-six electrodes (20 patients: 7 females, 13 males; both STN electrodes for 16 of 20 patients; one single STN electrode for 4 of 20 patients) were analyzed. Stimulation sites both dorsal and/or lateral to the sensorimotor STN were the most efficient. In 33 out of 36 electrodes, at least one contact was measured with stronger β-oscillations, including 23 electrodes running through or touching the ventral subpart of the β-oscillations' probabilistic volume, while 10 did not touch it but were adjacent to this volume; in 3 out of 36 electrodes, no contact was found with β-oscillations and all 3 were distant from this volume. Monopolar local field potentials confirmed the ventral subpart of the probabilistic β-oscillations.
Collapse
Affiliation(s)
- Colette Boëx
- Department of Neurosurgery, University Hospitals of Geneva, CH-1205 Geneva, Switzerland (S.M.)
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland (P.R.B.)
| | - Abdullah Al Awadhi
- Department of Neurosurgery, University Hospitals of Geneva, CH-1205 Geneva, Switzerland (S.M.)
| | - Rémi Tyrand
- Department of Neurosurgery, University Hospitals of Geneva, CH-1205 Geneva, Switzerland (S.M.)
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland (P.R.B.)
| | - Marco V. Corniola
- Department of Neurosurgery, Pontchaillou Hospitals, CEDEX 9, F-35033 Rennes, France
| | - Astrid Kibleur
- Centre Hospitalier Universitaire Caen Normandie, F-14000 Caen, France
| | - Vanessa Fleury
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland (P.R.B.)
- Department of Neurosurgery, Pontchaillou Hospitals, CEDEX 9, F-35033 Rennes, France
| | - Pierre R. Burkhard
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland (P.R.B.)
| | - Shahan Momjian
- Department of Neurosurgery, University Hospitals of Geneva, CH-1205 Geneva, Switzerland (S.M.)
- Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland (P.R.B.)
| |
Collapse
|
48
|
Hernandez-Martin E, Kasiri M, Abe S, MacLean J, Olaya J, Liker M, Chu J, Sanger TD. Globus pallidus internus activity increases during voluntary movement in children with dystonia. iScience 2023; 26:107066. [PMID: 37389183 PMCID: PMC10300218 DOI: 10.1016/j.isci.2023.107066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/27/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
The rate model of basal ganglia function predicts that muscle activity in dystonia is due to disinhibition of thalamus resulting from decreased inhibitory input from pallidum. We seek to test this hypothesis in children with dyskinetic cerebral palsy undergoing evaluation for deep brain stimulation (DBS) to analyze movement-related activity in different brain regions. The results revealed prominent beta-band frequency peaks in the globus pallidus interna (GPi), ventral oralis anterior/posterior (VoaVop) subnuclei of the thalamus, and subthalamic nucleus (STN) during movement but not at rest. Connectivity analysis indicated stronger coupling between STN-VoaVop and STN-GPi compared to GPi-STN. These findings contradict the hypothesis of decreased thalamic inhibition in dystonia, suggesting that abnormal patterns of inhibition and disinhibition, rather than reduced GPi activity, contribute to the disorder. Additionally, the study implies that correcting abnormalities in GPi function may explain the effectiveness of DBS targeting the STN and GPi in treating dystonia.
Collapse
Affiliation(s)
- Estefania Hernandez-Martin
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Maral Kasiri
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - Sumiko Abe
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Jennifer MacLean
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Joffre Olaya
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Mark Liker
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Jason Chu
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Terence D. Sanger
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| |
Collapse
|
49
|
Begg A, Louey MGY, Pearce P, Bulluss K, Thevathasan W, McDermott HJ, Perera T. Evaluation of the PaCER Algorithm for Postoperative Subthalamic Nucleus Deep Brain Stimulation Electrode Localization . ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083396 DOI: 10.1109/embc40787.2023.10340555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Deep Brain Stimulation (DBS) is an established therapy for many movement disorders. DBS entails electrical stimulation of precise brain structures using permanently implanted electrodes. Following implantation, locating the electrodes relative to the target brain structure assists patient outcome optimization. Here we evaluated an open-source automatic algorithm (PaCER) to localize individual electrodes on Computed Tomography imaging (co-registered to Magnetic Resonance Imaging). In a dataset of 111 participants, we found a modified version of the algorithm matched manual-markups with median error less than 0.191 mm (interquartile range 0.698 mm). Given the error is less than the voxel resolution (1 mm3) of the images, we conclude that the automatic algorithm is suitable for DBS electrode localizations.Clinical Relevance- Automated DBS electrode localization identifies the closest electrode to the target brain structure; allowing the neurologist to direct electrical stimulation to maximize patient outcomes. Further, if none of the electrodes are deemed suitable, localization will guide re-implantation.
Collapse
|
50
|
Edmonds B, Miyakoshi M, Remore LG, Ahn S, Phillips HW, Daida A, Salamon N, Bari A, Sankar R, Matsumoto JH, Fallah A, Nariai H. Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.22.23291714. [PMID: 37425697 PMCID: PMC10327240 DOI: 10.1101/2023.06.22.23291714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Objective To characterize ictal EEG change in the centromedian (CM) and anterior nucleus (AN) of the thalamus, using stereoelectroencephalography (SEEG) recordings. Methods Forty habitual seizures were analyzed in nine patients with pediatric-onset neocortical drug-resistant epilepsy who underwent SEEG (age 2-25 y) with thalamic coverage. Both visual and quantitative analysis was used to evaluate ictal EEG signal in the cortex and thalamus. The amplitude and cortico-thalamic latencies of broadband frequencies at ictal onset were measured. Results Visual analysis demonstrated consistent detection of ictal EEG changes in both the CM nucleus and AN nucleus with latency to thalamic ictal EEG changes of less than 400ms in 95% of seizures, with low-voltage fast activity being the most common ictal pattern. Quantitative broadband amplitude analysis showed consistent power changes across the frequency bands, corresponding to ictal EEG onset, while while ictal EEG latency was variable from -18.0 seconds to 13.2 seconds. There was no significant difference between detection of CM and AN ictal activity on visual or amplitude analysis. Four patients with subsequent thalamic responsive neurostimulation (RNS) demonstrated ictal EEG changes consistent with SEEG findings. Conclusions Ictal EEG changes were consistently seen at the CM and AN of the thalamus during neocortical seizures. Significance It may be feasible to use a closed-loop system in the thalamus to detect and modulate seizure activity for neocortical epilepsy.
Collapse
Affiliation(s)
- Benjamin Edmonds
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Makoto Miyakoshi
- Division of Child and Adolescent Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, UCSD Medical Center, San Diego, CA, USA
| | - Luigi Gianmaria Remore
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Samuel Ahn
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - H. Westley Phillips
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Atsuro Daida
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiological Sciences, University of California, Los Angeles, CA, USA
| | - Ausaf Bari
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Raman Sankar
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
- The UCLA Children’s Discovery and Innovation Institute, Los Angeles, CA, USA
| | - Joyce H. Matsumoto
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Aria Fallah
- Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Hiroki Nariai
- Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children’s Hospital, David Geffen School of Medicine, Los Angeles, CA, USA
- The UCLA Children’s Discovery and Innovation Institute, Los Angeles, CA, USA
| |
Collapse
|