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Gao C, Wu X, Cheng X, Madsen KH, Chu C, Yang Z, Fan L. Individualized brain mapping for navigated neuromodulation. Chin Med J (Engl) 2024; 137:508-523. [PMID: 38269482 PMCID: PMC10932519 DOI: 10.1097/cm9.0000000000002979] [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: 08/24/2023] [Indexed: 01/26/2024] Open
Abstract
ABSTRACT The brain is a complex organ that requires precise mapping to understand its structure and function. Brain atlases provide a powerful tool for studying brain circuits, discovering biological markers for early diagnosis, and developing personalized treatments for neuropsychiatric disorders. Neuromodulation techniques, such as transcranial magnetic stimulation and deep brain stimulation, have revolutionized clinical therapies for neuropsychiatric disorders. However, the lack of fine-scale brain atlases limits the precision and effectiveness of these techniques. Advances in neuroimaging and machine learning techniques have led to the emergence of stereotactic-assisted neurosurgery and navigation systems. Still, the individual variability among patients and the diversity of brain diseases make it necessary to develop personalized solutions. The article provides an overview of recent advances in individualized brain mapping and navigated neuromodulation and discusses the methodological profiles, advantages, disadvantages, and future trends of these techniques. The article concludes by posing open questions about the future development of individualized brain mapping and navigated neuromodulation.
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Affiliation(s)
- Chaohong Gao
- Sino–Danish College, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xia Wu
- Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Xinle Cheng
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Kristoffer Hougaard Madsen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre 2650, Denmark
| | - Congying Chu
- Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Zhengyi Yang
- Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Lingzhong Fan
- Sino–Danish College, University of Chinese Academy of Sciences, Beijing 100190, China
- Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, Shandong 266000, China
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Di Luca DG, Ramirez-Gomez C, Germann J, Santyr B, Boutet A, Milosevic L, Lang AE, Kalia SK, Lozano AM, Fasano A. Deep Brain Stimulation of the Globus Pallidus Internus and Externus in Multiple System Atrophy. Mov Disord 2023; 38:2121-2125. [PMID: 37544011 DOI: 10.1002/mds.29573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/17/2023] [Accepted: 07/20/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND Multiple system atrophy with parkinsonism (MSA-P) is a progressive condition with no effective treatment. OBJECTIVE The aim of this study was to describe the safety and efficacy of deep brain stimulation (DBS) of globus pallidus pars interna and externa in a cohort of patients with MSA-P. METHODS Six patients were included. Changes in Movement Disorders Society Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS III), Parkinson's Disease Questionnaire (PDQ-39) scores, and levodopa equivalent daily dose were compared before and after DBS. Electrode localization and volume tissue activation were calculated. RESULTS DBS surgery did not result in any major adverse events or intraoperative complications. Overall, no differences in MDS-UPDRS III scores were demonstrated (55.2 ± 17.6 preoperatively compared with 67.3 ± 19.2 at 1 year after surgery), although transient improvement in mobility and dyskinesia was reported in some subjects. CONCLUSIONS Globus pallidus pars interna and externa DBS for patients with MSA-P did not result in major complications, although it did not provide significant clinical benefit as measured by MDS-UPDRS III. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Daniel G Di Luca
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Carolina Ramirez-Gomez
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Jurgen Germann
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Brendan Santyr
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Alexandre Boutet
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Luka Milosevic
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
| | - Suneil K Kalia
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Andres M Lozano
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application, Toronto, Ontario, Canada
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Andrews L, Keller SS, Osman-Farah J, Macerollo A. A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders. Brain Commun 2023; 5:fcad171. [PMID: 37304793 PMCID: PMC10257440 DOI: 10.1093/braincomms/fcad171] [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: 11/13/2022] [Revised: 04/05/2023] [Accepted: 05/30/2023] [Indexed: 06/13/2023] Open
Abstract
Patients with movement disorders treated by deep brain stimulation do not always achieve successful therapeutic alleviation of motor symptoms, even in cases where surgery is without complications. Magnetic resonance imaging (MRI) offers methods to investigate structural brain-related factors that may be predictive of clinical motor outcomes. This review aimed to identify features which have been associated with variability in clinical post-operative motor outcomes in patients with Parkinson's disease, dystonia, and essential tremor from structural MRI modalities. We performed a literature search for articles published between 1 January 2000 and 1 April 2022 and identified 5197 articles. Following screening through our inclusion criteria, we identified 60 total studies (39 = Parkinson's disease, 11 = dystonia syndromes and 10 = essential tremor). The review captured a range of structural MRI methods and analysis techniques used to identify factors related to clinical post-operative motor outcomes from deep brain stimulation. Morphometric markers, including volume and cortical thickness were commonly identified in studies focused on patients with Parkinson's disease and dystonia syndromes. Reduced metrics in basal ganglia, sensorimotor and frontal regions showed frequent associations with reduced motor outcomes. Increased structural connectivity to subcortical nuclei, sensorimotor and frontal regions was also associated with greater motor outcomes. In patients with tremor, increased structural connectivity to the cerebellum and cortical motor regions showed high prevalence across studies for greater clinical motor outcomes. In addition, we highlight conceptual issues for studies assessing clinical response with structural MRI and discuss future approaches towards optimizing individualized therapeutic benefits. Although quantitative MRI markers are in their infancy for clinical purposes in movement disorder treatments, structural features obtained from MRI offer the powerful potential to identify candidates who are more likely to benefit from deep brain stimulation and provide insight into the complexity of disorder pathophysiology.
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Affiliation(s)
- Luke Andrews
- Correspondence to: Luke Andrews The BRAIN Lab, University of Liverpool Cancer Research Centre 200 London Rd, Liverpool L3 9TA, United Kingdom E-mail:
| | - Simon S Keller
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L3 9TA, UK
| | - Jibril Osman-Farah
- Department of Neurology and Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool L97LJ, UK
| | - Antonella Macerollo
- Correspondence may also be sent to: Antonella Macerollo. The Walton Centre NHS Trust, Lower Lane Liverpool L9 7LJ, United Kingdom E-mail:
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Listik C, Lapa JD, Casagrande SCB, Barbosa ER, Iglesio R, Godinho F, Duarte KP, Teixeira MJ, Cury RG. Exploring clinical outcomes in patients with idiopathic/inherited isolated generalized dystonia and stimulation of the subthalamic region. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:263-270. [PMID: 37059436 PMCID: PMC10104753 DOI: 10.1055/s-0043-1764416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2023]
Abstract
BACKGROUND Deep Brain Stimulation (DBS) is an established treatment option for refractory dystonia, but the improvement among the patients is variable. OBJECTIVE To describe the outcomes of DBS of the subthalamic region (STN) in dystonic patients and to determine whether the volume of tissue activated (VTA) inside the STN or the structural connectivity between the area stimulated and different regions of the brain are associated with dystonia improvement. METHODS The response to DBS was measured by the Burke-Fahn-Marsden Dystonia Rating Scale (BFM) before and 7 months after surgery in patients with generalized isolated dystonia of inherited/idiopathic etiology. The sum of the two overlapping STN volumes from both hemispheres was correlated with the change in BFM scores to assess whether the area stimulated inside the STN affects the clinical outcome. Structural connectivity estimates between the VTA (of each patient) and different brain regions were computed using a normative connectome taken from healthy subjects. RESULTS Five patients were included. The baseline BFM motor and disability subscores were 78.30 ± 13.55 (62.00-98.00) and 20.60 ± 7.80 (13.00-32.00), respectively. Patients improved dystonic symptoms, though differently. No relationships were found between the VTA inside the STN and the BFM improvement after surgery (p = 0.463). However, the connectivity between the VTA and the cerebellum structurally correlated with dystonia improvement (p = 0.003). CONCLUSIONS These data suggest that the volume of the stimulated STN does not explain the variance in outcomes in dystonia. Still, the connectivity pattern between the region stimulated and the cerebellum is linked to outcomes of patients.
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Affiliation(s)
- Clarice Listik
- Universidade de São Paulo, Center for Movement Disorders, Faculty of Medicine, Department of Neurology, São Paulo SP, Brazil
| | - Jorge Dornellys Lapa
- Universidade de São Paulo, Faculty of Medicine, Neurosurgery Division, Departament of de Neurology, São Paulo SP, Brazil
| | | | - Egberto Reis Barbosa
- Universidade de São Paulo, Center for Movement Disorders, Faculty of Medicine, Department of Neurology, São Paulo SP, Brazil
| | - Ricardo Iglesio
- Universidade de São Paulo, Faculty of Medicine, Neurosurgery Division, Departament of de Neurology, São Paulo SP, Brazil
| | - Fabio Godinho
- Universidade de São Paulo, Faculty of Medicine, Neurosurgery Division, Departament of de Neurology, São Paulo SP, Brazil
| | - Kleber Paiva Duarte
- Universidade de São Paulo, Faculty of Medicine, Neurosurgery Division, Departament of de Neurology, São Paulo SP, Brazil
| | - Manoel Jacobsen Teixeira
- Universidade de São Paulo, Faculty of Medicine, Neurosurgery Division, Departament of de Neurology, São Paulo SP, Brazil
| | - Rubens Gisbert Cury
- Universidade de São Paulo, Center for Movement Disorders, Faculty of Medicine, Department of Neurology, São Paulo SP, Brazil
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Sammartino F, Marsh R, Yeh FC, Sondergaard A, Changizi BK, Krishna V. Radiological identification of the globus pallidus motor subregion in Parkinson's disease. J Neurosurg 2022; 137:175-183. [PMID: 34740190 DOI: 10.3171/2021.7.jns21858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/01/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Globus pallidus (GP) lesioning improves motor symptoms of Parkinson's disease (PD) and is occasionally associated with nonmotor side effects. Although these variable clinical effects were shown to be site-specific within the GP, the motor and nonmotor subregions have not been distinguished radiologically in patients with PD. The GP was recently found to have a distinct radiological signature on diffusion MRI (dMRI), potentially related to its unique cellular content and organization (or tissue architecture). In this study, the authors hypothesize that the magnitude of water diffusivity, a surrogate for tissue architecture, will radiologically distinguish motor from nonmotor GP subregions in patients with PD. They also hypothesize that the therapeutic focused ultrasound pallidotomy lesions will preferentially overlap the motor subregion. METHODS Diffusion MRI from healthy subjects (n = 45, test-retest S1200 cohort) and PD patients (n = 33) was parcellated based on the magnitude of water diffusivity in the GP, as measured orientation distribution function (ODF). A clustering algorithm was used to identify GP parcels with distinct ODF magnitude. The individual parcels were used as seeds for tractography to distinguish motor from nonmotor subregions. The locations of focused ultrasound lesions relative to the GP parcels were also analyzed in 11 patients with PD. RESULTS Radiologically, three distinct parcels were identified within the GP in healthy controls and PD patients: posterior, central, and anterior. The posterior and central parcels comprised the motor subregion and the anterior parcel was classified as a nonmotor subregion based on their tractography connections. The focused ultrasound lesions preferentially overlapped with the motor subregion (posterior more than central). The hotspots for motor improvement were localized in the posterior GP parcel. CONCLUSIONS Using a data-driven approach of ODF-based parcellation, the authors radiologically distinguished GP motor subregions in patients with PD. This method can aid stereotactic targeting in patients with PD undergoing surgical treatments, especially focused ultrasound ablation.
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Affiliation(s)
| | | | - Fang-Cheng Yeh
- 2Department of Neurological Surgery, University of Pittsburgh, Pennsylvania
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da Silva Lapa JD, Godinho FLF, Teixeira MJ, Listik C, Iglesio RF, Duarte KP, Cury RG. Should the Globus Pallidus Targeting Be Refined in Dystonia? J Neurol Surg A Cent Eur Neurosurg 2021; 83:361-367. [PMID: 34808675 DOI: 10.1055/s-0041-1735856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND STUDY AIMS Deep brain stimulation (DBS) of the globus pallidus internus (GPi) is a highly effective therapy for primary generalized and focal dystonias, but therapeutic success is compromised by a nonresponder rate of up to 20%. Variability in electrode placement and in tissue stimulated inside the GPi may explain in part different outcomes among patients. Refinement of the target within the pallidal area could be helpful for surgery planning and clinical outcomes. The objective of this study was to discuss current and potential methodological (somatotopy, neuroimaging, and neurophysiology) aspects that might assist neurosurgical targeting of the GPi, aiming to treat generalized or focal dystonia. METHODS We selected published studies by searching electronic databases and scanning the reference lists for articles that examined the anatomical and electrophysiologic aspects of the GPi in patients with idiopathic/inherited dystonia who underwent functional neurosurgical procedures. RESULTS The sensorimotor sector of the GPi was the best target to treat dystonic symptoms, and was localized at its lateral posteroventral portion. The effective volume of tissue activated (VTA) to treat dystonia had a mean volume of 153 mm3 in the posterior GPi area. Initial tractography studies evaluated the close relation between the electrode localization and pallidothalamic tract to control dystonic symptoms.Regarding the somatotopy, the more ventral, lateral, and posterior areas of the GPi are associated with orofacial and cervical representation. In contrast, the more dorsal, medial, and anterior areas are associated with the lower limbs; between those areas, there is the representation of the upper limb. Excessive pallidal synchronization has a peak at the theta band of 3 to 8 Hz, which might be responsible for generating dystonic symptoms. CONCLUSIONS Somatotopy assessment of posteroventral GPi contributes to target-specific GPi sectors related to segmental body symptoms. Tractography delineates GPi output pathways that might guide electrode implants, and electrophysiology might assist in pointing out areas of excessive theta synchronization. Finally, the identification of oscillatory electrophysiologic features that correlate with symptoms might enable closed-loop approaches in the future.
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Affiliation(s)
- Jorge Dornellys da Silva Lapa
- Neurosurgery Unit, Fundação de Beneficiência Hospital de Cirurgia, Cirurgia, Aracaju, Sergipe, Brazil.,Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Fábio Luiz Franceschi Godinho
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | | | - Clarice Listik
- Movement Disorders Center, Department of Neurology, School of Medicine, University of Sao Paulo, Sao Paulo, São Paulo, Brazil
| | - Ricardo Ferrareto Iglesio
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Kleber Paiva Duarte
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Rubens Gisbert Cury
- Movement Disorders Center, Department of Neurology, School of Medicine, University of Sao Paulo, Sao Paulo, São Paulo, Brazil
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Ozturk S, Temel Y, Aygun D, Kocabicak E. Deep Brain Stimulation of the Globus Pallidus Internus for Secondary Dystonia: Clinical Cases and Systematic Review of the Literature Regarding the Effectiveness of Globus Pallidus Internus versus Subthalamic Nucleus. World Neurosurg 2021; 154:e495-e508. [PMID: 34303854 DOI: 10.1016/j.wneu.2021.07.070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Deep brain stimulation (DBS) is a frequently applied therapy in primary dystonia. For secondary dystonia, the effects can be less favorable. We share our long-term findings in 9 patients with severe secondary dystonia and discuss these findings in the light of the literature. METHODS Patients who had undergone globus pallidus internus (GPi)-DBS for secondary dystonia were included. Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) scores, clinical improvement rates, follow-up periods, stimulation parameters and the need for internal pulse generator replacements were analyzed. The PubMed and Google Scholar databases were searched for articles describing GPi-DBS and subthalamic nucleus (STN)-DBS only for secondary dystonia cases. Keywords were "dystonia," "deep brain stimulation," "GPi," "dystonia," "deep brain stimulation," and "STN." RESULTS A total of 9 secondary dystonia patients (5 male, 4 female) had undergone GPi-DBS with microelectrode recording in our units. The mean follow-up period was 29 months. The average BFMDRS score was 58.2 before the surgery, whereas the mean value was 36.5 at the last follow-up of the patients (mean improvement, 39%; minimum, 9%; maximum, 63%). In the literature review, we identified 264 GPi-DBS cases (mean follow-up, 19 months) in 72 different articles about secondary dystonia. The mean BFMDRS improvement rate was 52%. In 146 secondary dystonia cases, reported in 19 articles, STN-DBS was performed. The average follow-up period was 20 months and the improvement in BFMDRS score was 66%. CONCLUSIONS Although GPi-DBS has favorable long-term efficacy and safety in the treatment of patients with secondary dystonia, STN seems a promising target for stimulation in patients with secondary dystonia. Further studies including a large number of patients, longer follow-up periods, and more homogenous patients are necessary to establish the optimal target for DBS in the management of secondary dystonias.
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Affiliation(s)
- Sait Ozturk
- Department of Neurosurgery, School of Medicine, Fırat University, Elazig, Turkey.
| | - Yasin Temel
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Dursun Aygun
- Department of Neurology, Ondokuz Mayıs University, Samsun, Turkey
| | - Ersoy Kocabicak
- Department of Neurosurgery, Ondokuz Mayıs University, Samsun, Turkey; Neuromodulation Center, Ondokuz Mayıs University, Samsun, Turkey
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Merola A, Singh J, Reeves K, Changizi B, Goetz S, Rossi L, Pallavaram S, Carcieri S, Harel N, Shaikhouni A, Sammartino F, Krishna V, Verhagen L, Dalm B. New Frontiers for Deep Brain Stimulation: Directionality, Sensing Technologies, Remote Programming, Robotic Stereotactic Assistance, Asleep Procedures, and Connectomics. Front Neurol 2021; 12:694747. [PMID: 34367055 PMCID: PMC8340024 DOI: 10.3389/fneur.2021.694747] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/14/2021] [Indexed: 11/21/2022] Open
Abstract
Over the last few years, while expanding its clinical indications from movement disorders to epilepsy and psychiatry, the field of deep brain stimulation (DBS) has seen significant innovations. Hardware developments have introduced directional leads to stimulate specific brain targets and sensing electrodes to determine optimal settings via feedback from local field potentials. In addition, variable-frequency stimulation and asynchronous high-frequency pulse trains have introduced new programming paradigms to efficiently desynchronize pathological neural circuitry and regulate dysfunctional brain networks not responsive to conventional settings. Overall, these innovations have provided clinicians with more anatomically accurate programming and closed-looped feedback to identify optimal strategies for neuromodulation. Simultaneously, software developments have simplified programming algorithms, introduced platforms for DBS remote management via telemedicine, and tools for estimating the volume of tissue activated within and outside the DBS targets. Finally, the surgical accuracy has improved thanks to intraoperative magnetic resonance or computerized tomography guidance, network-based imaging for DBS planning and targeting, and robotic-assisted surgery for ultra-accurate, millimetric lead placement. These technological and imaging advances have collectively optimized DBS outcomes and allowed “asleep” DBS procedures. Still, the short- and long-term outcomes of different implantable devices, surgical techniques, and asleep vs. awake procedures remain to be clarified. This expert review summarizes and critically discusses these recent innovations and their potential impact on the DBS field.
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Affiliation(s)
- Aristide Merola
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Jaysingh Singh
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Kevin Reeves
- Department of Psychiatry, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Barbara Changizi
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Steven Goetz
- Medtronic PLC Neuromodulation, Minneapolis, MN, United States
| | | | | | | | - Noam Harel
- Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Ammar Shaikhouni
- Department of Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Francesco Sammartino
- Department of Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Vibhor Krishna
- Department of Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Leo Verhagen
- Movement Disorder Section, Department of Neurological Sciences, Rush University, Chicago, IL, United States
| | - Brian Dalm
- Department of Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
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Holton P, Huang Y, Bahuri NFA, Boccard S, Hyam JA, Paterson DJ, Dorrington KL, Aziz TZ, Moosavi SH, Green AL. Differential responses to breath-holding, voluntary deep breathing and hypercapnia in left and right dorsal anterior cingulate. Exp Physiol 2020; 106:726-735. [PMID: 33369804 DOI: 10.1113/ep088961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/22/2020] [Indexed: 11/08/2022]
Abstract
NEW FINDINGS What is the central question of this study? What is the role of dorsal anterior cingulate cortex (ACC) in respiration control in humans? What is the main finding and its importance? Direct evidence is provided for a role of the ACC in respiratory control in humans. The neurophysiological responses in dorsal ACC to different breathing tasks varied and were different between left and right ACC. ABSTRACT The role of subcortical structures and cerebral cortex in the maintenance of respiratory homeostasis in humans remains poorly understood. Emerging evidence suggests an important role of the anterior cingulate cortex (ACC) in respiratory control. In this study, local field potentials (LFPs) from dorsal ACC were recorded in humans through implanted deep brain electrodes during several breathing activities, including voluntary activities of breath-holding and deep breathing, and involuntary activities of inspiration of varying concentrations of carbon dioxide (1%, 3%, 5% and 7%). We found that the breath-holding task induced significant unilateral left-sided ACC changes in LFP power, including an increased activity in lower frequency bands (3-5 Hz) and decreased activity in higher frequency bands (12-26 Hz). The respiratory task involving reflex increase in ventilation due to hypercapnia (raised inspired CO2 ) was associated with bilateral changes in activity of the ACC (again with increased activity in lower frequency bands and reduced activity in higher frequency bands). The voluntary breathing task with associated hypocapnia (deep breathing) induced bilateral changes in activity within low frequency bands. Furthermore, probabilistic diffusion tractography analysis showed left-sided connection of the ACC with the insula and frontal operculum, and bilateral connections within subsections of the cingulate gyrus and the thalamus. This electrophysiological analysis provides direct evidence for a role of the ACC in respiratory control in humans.
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Affiliation(s)
- Patrick Holton
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Yongzhi Huang
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | | | - Sandra Boccard
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Jonathan A Hyam
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - David J Paterson
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Keith L Dorrington
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Tipu Z Aziz
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Shakeeb H Moosavi
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Alexander L Green
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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Middlebrooks EH, Domingo RA, Vivas-Buitrago T, Okromelidze L, Tsuboi T, Wong JK, Eisinger RS, Almeida L, Burns MR, Horn A, Uitti RJ, Wharen RE, Holanda VM, Grewal SS. Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics. AJNR Am J Neuroradiol 2020; 41:1558-1568. [PMID: 32816768 DOI: 10.3174/ajnr.a6693] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/03/2020] [Indexed: 12/18/2022]
Abstract
Deep brain stimulation is an established therapy for multiple brain disorders, with rapidly expanding potential indications. Neuroimaging has advanced the field of deep brain stimulation through improvements in delineation of anatomy, and, more recently, application of brain connectomics. Older lesion-derived, localizationist theories of these conditions have evolved to newer, network-based "circuitopathies," aided by the ability to directly assess these brain circuits in vivo through the use of advanced neuroimaging techniques, such as diffusion tractography and fMRI. In this review, we use a combination of ultra-high-field MR imaging and diffusion tractography to highlight relevant anatomy for the currently approved indications for deep brain stimulation in the United States: essential tremor, Parkinson disease, drug-resistant epilepsy, dystonia, and obsessive-compulsive disorder. We also review the literature regarding the use of fMRI and diffusion tractography in understanding the role of deep brain stimulation in these disorders, as well as their potential use in both surgical targeting and device programming.
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Affiliation(s)
- E H Middlebrooks
- From the Departments of Radiology (E.H.M., L.O.) .,Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | - R A Domingo
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | | | | | - T Tsuboi
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida.,Department of Neurology (T.T., J.K.W., R.S.E., L.A., M.R.B.), Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida
| | - J K Wong
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - R S Eisinger
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - L Almeida
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - M R Burns
- and Neurology (R.J.U.), Mayo Clinic, Jacksonville, Florida
| | - A Horn
- Department of Neurology (T.T.), Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - R J Uitti
- Department for Neurology (A.H.), Charité, University Medicine Berlin, Berlin, Germany
| | - R E Wharen
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
| | - V M Holanda
- Center of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
| | - S S Grewal
- Neurosurgery (E.H.M., R.A.D., T.V.-B., R.E.W., S.S.G.)
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11
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Okromelidze L, Tsuboi T, Eisinger RS, Burns MR, Charbel M, Rana M, Grewal SS, Lu CQ, Almeida L, Foote KD, Okun MS, Middlebrooks EH. Functional and Structural Connectivity Patterns Associated with Clinical Outcomes in Deep Brain Stimulation of the Globus Pallidus Internus for Generalized Dystonia. AJNR Am J Neuroradiol 2020; 41:508-514. [PMID: 32054614 DOI: 10.3174/ajnr.a6429] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/07/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Deep brain stimulation is a well-established treatment for generalized dystonia, but outcomes remain variable. Establishment of an imaging marker to guide device targeting and programming could possibly impact the efficacy of deep brain stimulation in dystonia, particularly in the absence of acute clinical markers to indicate benefit. We hypothesize that the stimulation-based functional and structural connectivity using resting-state fMRI and DTI can predict therapeutic outcomes in patients with generalized dystonia and deep brain stimulation. MATERIALS AND METHODS We performed a retrospective analysis of 39 patients with inherited or idiopathic-isolated generalized dystonia who underwent bilateral globus pallidus internus deep brain stimulation. After electrode localization, the volumes of tissue activated were modeled and used as seed regions for functional and structural connectivity measures using a normative data base. Resulting connectivity maps were correlated with postoperative improvement in the Unified Dystonia Rating Scale score. RESULTS Structural connectivity between the volumes of tissue activated and the primary sensorimotor cortex was correlated with Unified Dystonia Rating Scale improvement, while more anterior prefrontal connectivity was inversely correlated with Unified Dystonia Rating Scale improvement. Functional connectivity between the volumes of tissue activated and primary sensorimotor regions, motor thalamus, and cerebellum was most correlated with Unified Dystonia Rating Scale improvement; however, an inverse correlation with Unified Dystonia Rating Scale improvement was seen in the supplemental motor area and premotor cortex. CONCLUSIONS Functional and structural connectivity with multiple nodes of the motor network is associated with motor improvement in patients with generalized dystonia undergoing deep brain stimulation. Results from this study may serve as a basis for future development of clinical markers to guide deep brain stimulation targeting and programming in dystonia.
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Affiliation(s)
- L Okromelidze
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida
| | - T Tsuboi
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - R S Eisinger
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - M R Burns
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - M Charbel
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - M Rana
- Institute of Medical Psychology and Behavioural Neurobiology (M.R.), University of Tübingen, Tübingen, Germany
| | - S S Grewal
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - C-Q Lu
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida
| | - L Almeida
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - K D Foote
- Department of Neurosurgery (K.D.F.), and J. Crayton Pruitt Family Department of Biomedical Engineering (M.C.), University of Florida, Gainesville, Florida
| | - M S Okun
- Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
| | - E H Middlebrooks
- From the Departments of Radiology (L.O., C.-Q.L., E.H.M.) and Neurosurgery (S.S.G., E.H.M.), Mayo Clinic, Jacksonville, Florida .,Department of Neurology (T.T., R.S.E., M.R.B., L.A., K.D.F., M.S.O.), Norman Fixel Institute for Neurological Diseases
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12
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Tsuboi T, Wong JK, Almeida L, Hess CW, Wagle Shukla A, Foote KD, Okun MS, Ramirez-Zamora A. A pooled meta-analysis of GPi and STN deep brain stimulation outcomes for cervical dystonia. J Neurol 2020; 267:1278-1290. [DOI: 10.1007/s00415-020-09703-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 12/24/2022]
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13
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Elkouzi A, Tsuboi T, Burns MR, Eisinger RS, Patel A, Deeb W. Dorsal GPi/GPe Stimulation Induced Dyskinesia in a Patient with Parkinson's Disease. TREMOR AND OTHER HYPERKINETIC MOVEMENTS (NEW YORK, N.Y.) 2019; 9:tre-09-685. [PMID: 31565536 PMCID: PMC6744811 DOI: 10.7916/tohm.v0.685] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 08/05/2019] [Indexed: 01/16/2023]
Abstract
Clinical vignette A 68-year-old man with Parkinson’s disease (PD) had bilateral GPi DBS placed for management of his motor fluctuations. He developed stimulation-induced dyskinesia (SID) with left dorsal GPi stimulation. Clinical dilemma What do we know about SID in PD patients with GPi DBS? What are the potential strategies used to maximize the DBS therapeutic benefit and minimize the side effects of stimulation? Clinical solution Avoiding the contact implicated in SID and programming more ventral contacts, using lower voltage, frequency and pulse width and programming in bipolar configuration all appear to help minimize the SID and provide appropriate symptomatic motor control. Gap in knowledge Little is known about SID in patients with PD who had GPi DBS therapy. More studies using volume of tissue activated and diffusion tensor imaging MRI are needed to localize specific tracts in or around the GPi that may be implicated in SID.
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Affiliation(s)
- Ahmad Elkouzi
- Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA
| | - Takashi Tsuboi
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | - Matthew R Burns
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | | | - Amar Patel
- Department of Neurology, Yale school of Medicine, Yale University, New Haven, CT, USA
| | - Wissam Deeb
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
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14
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Hell F, Palleis C, Mehrkens JH, Koeglsperger T, Bötzel K. Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation. Front Neurol 2019; 10:314. [PMID: 31001196 PMCID: PMC6456744 DOI: 10.3389/fneur.2019.00314] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 03/12/2019] [Indexed: 12/28/2022] Open
Abstract
Deep brain stimulation has developed into an established treatment for movement disorders and is being actively investigated for numerous other neurological as well as psychiatric disorders. An accurate electrode placement in the target area and the effective programming of DBS devices are considered the most important factors for the individual outcome. Recent research in humans highlights the relevance of widespread networks connected to specific DBS targets. Improving the targeting of anatomical and functional networks involved in the generation of pathological neural activity will improve the clinical DBS effect and limit side-effects. Here, we offer a comprehensive overview over the latest research on target structures and targeting strategies in DBS. In addition, we provide a detailed synopsis of novel technologies that will support DBS programming and parameter selection in the future, with a particular focus on closed-loop stimulation and associated biofeedback signals.
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Affiliation(s)
- Franz Hell
- Department of Neurology, Ludwig Maximilians University, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig Maximilians University, Munich, Germany
| | - Carla Palleis
- Department of Neurology, Ludwig Maximilians University, Munich, Germany
- Department of Translational Neurodegeneration, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Jan H. Mehrkens
- Department of Neurosurgery, Ludwig Maximilians University, Munich, Germany
| | - Thomas Koeglsperger
- Department of Neurology, Ludwig Maximilians University, Munich, Germany
- Department of Translational Neurodegeneration, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Kai Bötzel
- Department of Neurology, Ludwig Maximilians University, Munich, Germany
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15
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Berndt M, Li Y, Gora-Stahlberg G, Jochim A, Haslinger B. Impaired white matter integrity between premotor cortex and basal ganglia in writer's cramp. Brain Behav 2018; 8:e01111. [PMID: 30239158 PMCID: PMC6192408 DOI: 10.1002/brb3.1111] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 08/03/2018] [Accepted: 08/08/2018] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Writer's cramp (WC) as a focal hand dystonia is characterized by abnormal postures of the hand during writing. Impaired inhibition and maladaptive plasticity in circuits linking the basal ganglia and sensorimotor cortices have been described. In particular, a dysfunction of lateral premotor cortices has been associated with impaired motor control in WC. We applied diffusion tensor imaging to identify changes in white matter connectivity between premotor regions and important cortical and subcortical structures. METHODS Whole brain white matter tracts were reconstructed in 18 right-handed WC patients and 18 matched controls, using probabilistic fiber tracking. We restricted our analyses to left-hemispheric fibers between the middle frontal gyrus (MFG) and basal ganglia, thalamus, primary motor, and sensory cortex. Diffusion parameters (fractional anisotropy and linear anisotropy) were compared between both groups. RESULTS A significant reduction in fractional anisotropy values was shown for patients (mean ± SD: 0.37 ± 0.02) vs. controls (0.39 ± 0.03) regarding fibers between the left-sided MFG and the putamen (p < 0.05). The same applied for linear anisotropy values in this connection (p < 0.05). CONCLUSIONS Our results suggest an impaired structural connectivity between the left-hemispheric MFG and putamen with a loss of equally aligned fibers in WC patients. This could reflect a structural basis for functional findings interpreted as altered inhibition and plasticity, both within the premotor cortex and the basal ganglia, that at last lead to the clinical symptoms of WC.
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Affiliation(s)
- Maria Berndt
- Department of Neurology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany
| | - Yong Li
- Department of Neurology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany
| | - Gina Gora-Stahlberg
- Department of Neurology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany
| | - Angela Jochim
- Department of Neurology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany
| | - Bernhard Haslinger
- Department of Neurology, Klinikum rechts der Isar, Technische Universität Muenchen, Muenchen, Germany
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16
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The neural circuitry of restricted repetitive behavior: Magnetic resonance imaging in neurodevelopmental disorders and animal models. Neurosci Biobehav Rev 2018; 92:152-171. [PMID: 29802854 DOI: 10.1016/j.neubiorev.2018.05.022] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 04/18/2018] [Accepted: 05/20/2018] [Indexed: 11/23/2022]
Abstract
Restricted, repetitive behaviors (RRBs) are patterns of behavior that exhibit little variation in form and have no obvious function. RRBs although transdiagonstic are a particularly prominent feature of certain neurodevelopmental disorders, yet relatively little is known about the neural circuitry of RRBs. Past work in this area has focused on isolated brain regions and neurotransmitter systems, but implementing a neural circuit approach has the potential to greatly improve understanding of RRBs. Magnetic resonance imaging (MRI) is well-suited to studying the structural and functional connectivity of the nervous system, and is a highly translational research tool. In this review, we synthesize MRI research from both neurodevelopmental disorders and relevant animal models that informs the neural circuitry of RRB. Together, these studies implicate distributed neural circuits between the cortex, basal ganglia, and cerebellum. Despite progress in neuroimaging of RRB, there are many opportunities for conceptual and methodological improvement. We conclude by suggesting future directions for MRI research in RRB, and how such studies can benefit from complementary approaches in neuroscience.
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17
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Middlebrooks EH, Tuna IS, Grewal SS, Almeida L, Heckman MG, Lesser ER, Foote KD, Okun MS, Holanda VM. Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease. AJNR Am J Neuroradiol 2018; 39:1127-1134. [PMID: 29700048 DOI: 10.3174/ajnr.a5641] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 02/24/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE Although globus pallidus internus deep brain stimulation is a widely accepted treatment for Parkinson disease, there is persistent variability in outcomes that is not yet fully understood. In this pilot study, we aimed to investigate the potential role of globus pallidus internus segmentation using probabilistic tractography as a supplement to traditional targeting methods. MATERIALS AND METHODS Eleven patients undergoing globus pallidus internus deep brain stimulation were included in this retrospective analysis. Using multidirection diffusion-weighted MR imaging, we performed probabilistic tractography at all individual globus pallidus internus voxels. Each globus pallidus internus voxel was then assigned to the 1 ROI with the greatest number of propagated paths. On the basis of deep brain stimulation programming settings, the volume of tissue activated was generated for each patient using a finite element method solution. For each patient, the volume of tissue activated within each of the 10 segmented globus pallidus internus regions was calculated and examined for association with a change in the Unified Parkinson Disease Rating Scale, Part III score before and after treatment. RESULTS Increasing volume of tissue activated was most strongly correlated with a change in the Unified Parkinson Disease Rating Scale, Part III score for the primary motor region (Spearman r = 0.74, P = .010), followed by the supplementary motor area/premotor cortex (Spearman r = 0.47, P = .15). CONCLUSIONS In this pilot study, we assessed a novel method of segmentation of the globus pallidus internus based on probabilistic tractography as a supplement to traditional targeting methods. Our results suggest that our method may be an independent predictor of deep brain stimulation outcome, and evaluation of a larger cohort or prospective study is warranted to validate these findings.
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Affiliation(s)
| | - I S Tuna
- Departments of Radiology (I.S.T.)
| | | | | | - M G Heckman
- Division of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
| | - E R Lesser
- Division of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
| | - K D Foote
- Neurosurgery (K.D.F.), University of Florida, Gainesville, Florida
| | | | - V M Holanda
- Center of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
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18
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Hell F, Köglsperger T, Mehrkens J, Boetzel K. Improving the Standard for Deep Brain Stimulation Therapy: Target Structures and Feedback Signals for Adaptive Stimulation. Current Perspectives and Future Directions. Cureus 2018; 10:e2468. [PMID: 29900088 PMCID: PMC5997423 DOI: 10.7759/cureus.2468] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Deep brain stimulation (DBS) is an established therapeutic option for the treatment of various neurological disorders and has been used successfully in movement disorders for over 25 years. However, the standard stimulation schemes have not changed substantially. Two major points of interest for the further development of DBS are target-structures and novel adaptive stimulation techniques integrating feedback signals. We describe recent research results on target structures and on neural and behavioural feedback signals for adaptive deep brain stimulation (aDBS), as well as outline future directions.
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Affiliation(s)
- Franz Hell
- Neurology, Ludwigs-Maximilians-University Munich, Munich, DEU
| | - Thomas Köglsperger
- Department of Neurology, Ludwigs-Maximilians-University Munich, Munich, DEU
| | - Jan Mehrkens
- Department of Neurosurgery (head of Functional Neurosurgery), Ludwigs-Maximilians-University Munich, Munich, DEU
| | - Kai Boetzel
- Department of Neurology, Ludwigs-Maximilians-University Munich, Munich, DEU
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19
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20
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See AAQ, King NKK. Improving Surgical Outcome Using Diffusion Tensor Imaging Techniques in Deep Brain Stimulation. Front Surg 2017; 4:54. [PMID: 29034243 PMCID: PMC5625016 DOI: 10.3389/fsurg.2017.00054] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 09/06/2017] [Indexed: 12/16/2022] Open
Abstract
Introduction Recent advances in surgical imaging include the use of diffusion tensor imaging (DTI) in deep brain stimulation (DBS) and provide a detailed view of the white matter tracts and their connections which are not seen with conventional magnetic resonance imaging. Given that the efficacy of DBS depends on the precise and accurate targeting of these circuits, better surgical planning using information obtained from DTI may lead to improved surgical outcome. We aim to review the available literature to evaluate the efficacy of such a strategy. Methods A search of PubMed was performed to identify all articles using the search terms “(diffusion tractography OR diffusion tensor imaging OR DTI) AND (deep brain stimulation OR DBS).” Studies were included if DTI was used and clinical outcomes were reported. Results We identified 35 studies where the use of DTI in DBS was evaluated. The most studied pathology was movement disorders (17 studies), psychiatric disorders (11 studies), and pain (7 studies). The overall responder rates for tremor reduction was 70.0% (SD = 26.1%) in 69 patients, 36.5% (SD = 19.1%) for obsessive–compulsive disorder in 9 patients, 48.3% (SD = 40.0%) for depression in 40 patients, and 49.7% (SD = 35.1%) for chronic pain in 23 patients. Discussion The studies reviewed show that the use of DTI for surgical planning is feasible, provide additional information over conventional targeting methods, and can improve surgical outcome. Patients in whom the DBS electrodes were within the DTI targets experienced better outcomes than those in whom the electrodes were not. Many current studies are limited by their small sample size or retrospective nature. The use of DTI in DBS planning appears underutilized and further studies are warranted given that surgical outcome can be optimized using this non-invasive technique.
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Affiliation(s)
- Angela An Qi See
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Nicolas Kon Kam King
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
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21
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Edwards CA, Kouzani A, Lee KH, Ross EK. Neurostimulation Devices for the Treatment of Neurologic Disorders. Mayo Clin Proc 2017; 92:1427-1444. [PMID: 28870357 DOI: 10.1016/j.mayocp.2017.05.005] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 04/16/2017] [Accepted: 05/01/2017] [Indexed: 12/01/2022]
Abstract
Rapid advancements in neurostimulation technologies are providing relief to an unprecedented number of patients affected by debilitating neurologic and psychiatric disorders. Neurostimulation therapies include invasive and noninvasive approaches that involve the application of electrical stimulation to drive neural function within a circuit. This review focuses on established invasive electrical stimulation systems used clinically to induce therapeutic neuromodulation of dysfunctional neural circuitry. These implantable neurostimulation systems target specific deep subcortical, cortical, spinal, cranial, and peripheral nerve structures to modulate neuronal activity, providing therapeutic effects for a myriad of neuropsychiatric disorders. Recent advances in neurotechnologies and neuroimaging, along with an increased understanding of neurocircuitry, are factors contributing to the rapid rise in the use of neurostimulation therapies to treat an increasingly wide range of neurologic and psychiatric disorders. Electrical stimulation technologies are evolving after remaining fairly stagnant for the past 30 years, moving toward potential closed-loop therapeutic control systems with the ability to deliver stimulation with higher spatial resolution to provide continuous customized neuromodulation for optimal clinical outcomes. Even so, there is still much to be learned about disease pathogenesis of these neurodegenerative and psychiatric disorders and the latent mechanisms of neurostimulation that provide therapeutic relief. This review provides an overview of the increasingly common stimulation systems, their clinical indications, and enabling technologies.
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Affiliation(s)
- Christine A Edwards
- School of Engineering, Deakin University, Geelong, Victoria, Australia; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN
| | - Abbas Kouzani
- School of Engineering, Deakin University, Geelong, Victoria, Australia
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN
| | - Erika K Ross
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN; Department of Surgery, Mayo Clinic, Rochester, MN.
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22
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Multimodal Imaging in a Patient with Hemidystonia Responsive to GPi Deep Brain Stimulation. Case Rep Neurol Med 2017; 2017:9653520. [PMID: 28744382 PMCID: PMC5514339 DOI: 10.1155/2017/9653520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 05/02/2017] [Accepted: 05/28/2017] [Indexed: 11/28/2022] Open
Abstract
Background Dystonia is a syndrome with varied phenomenology but our understanding of its mechanisms is deficient. With neuroimaging techniques, such as fiber tractography (FT) and magnetoencephalography (MEG), pathway connectivity can be studied to that end. We present a hemidystonia patient treated with deep brain stimulation (DBS). Methods After 10 years of left axial hemidystonia, a 45-year-old male underwent unilateral right globus pallidus internus (GPi) DBS. Whole brain MEG before and after anticholinergic medication was performed prior to surgery. 26-direction diffusion tensor imaging (DTI) was obtained in a 3 T MRI machine along with FT. The patient was assessed before and one year after surgery by using the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS). Results In the eyes-closed MEG study there was an increase in brain coherence in the gamma band after medication in the middle and inferior frontal region. FT demonstrated over 50% more intense ipsilateral connectivity in the right hemisphere compared to the left. After DBS, BFMDRS motor and disability scores both dropped by 71%. Conclusion Multimodal neuroimaging techniques can offer insights into the pathophysiology of dystonia and can direct choices for developing therapeutics. Unilateral pallidal DBS can provide significant symptom control in axial hemidystonia poorly responsive to medication.
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Kumbhare D, Holloway KL, Baron MS. Parkinsonism and dystonia are differentially induced by modulation of different territories in the basal ganglia. Neuroscience 2017; 353:42-57. [DOI: 10.1016/j.neuroscience.2017.03.063] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 03/28/2017] [Accepted: 03/30/2017] [Indexed: 10/19/2022]
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24
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Li Z, Prudente CN, Stilla R, Sathian K, Jinnah HA, Hu X. Alterations of resting-state fMRI measurements in individuals with cervical dystonia. Hum Brain Mapp 2017; 38:4098-4108. [PMID: 28504361 DOI: 10.1002/hbm.23651] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 04/13/2017] [Accepted: 05/03/2017] [Indexed: 01/03/2023] Open
Abstract
Cervical dystonia (CD) is a neurological disorder with typical symptoms of involuntary and abnormal movements and postures of the head. CD-associated alterations of functional brain networks have not been well characterized. Previous studies of CD using resting-state functional MRI (rfMRI) are limited in two aspects: (i) the analyses were not directly focused on the functional brain network related to head movement and (ii) rfMRI measurements other than functional connectivity (FC) were not investigated. The present study examined alterations of FC in CD by capitalizing on newly identified brain regions supporting isometric head rotation (Prudente et al.: J Neurosci 35 (2015) 9163-9172). In addition to FC, which only reflects inter-regional signal synchronization, local, or intraregional alterations were also examined using rfMRI measurements of the fractional amplitude of low-frequency fluctuations and regional homogeneity (ReHo). Finally, with alterations of different rfMRI measures identified, a support vector machine (SVM) learning algorithm was implemented for group classification. The results revealed both inter- (FC) and intra-regional (ReHo) alterations extensively distributed in both cortical and subcortical structures; and common alterations of these measures were identified bilaterally in the postcentral gyrus as well as in the basal ganglia and thalamus. Of the rfMRI features examined, seven of them (four FC and three ReHo measures) survived the SVM procedure of recursive feature elimination and together provided the highest group classification accuracy of 90.6%. The present findings extend previous studies of rfMRI in CD and offer insight into the underlying pathophysiology of the disorder in relation to network dysfunction and somatosensory disturbances. Hum Brain Mapp 38:4098-4108, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Zhihao Li
- School of Psychology and Sociology, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.,Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Cecília N Prudente
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, Minnesota.,Department of Neurology, Emory University, Atlanta, Georgia
| | - Randall Stilla
- Department of Neurology, Emory University, Atlanta, Georgia
| | - K Sathian
- Department of Neurology, Emory University, Atlanta, Georgia.,Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia.,Department Psychology, Emory University, Atlanta, Georgia.,Rehabilitation R&D Center for Visual & Neurocognitive Rehabilitation, Atlanta VAMC, Decatur, Georgia
| | - H A Jinnah
- Department of Neurology, Emory University, Atlanta, Georgia.,Department of Human Genetics, Emory University, Atlanta, Georgia.,Department Pediatrics, Emory University, Atlanta, Georgia
| | - Xiaoping Hu
- Department of Bioengineering, University of California at Riverside, Riverside, California
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25
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Münte TF, Marco-Pallares J, Bolat S, Heldmann M, Lütjens G, Nager W, Müller-Vahl K, Krauss JK. The human globus pallidus internus is sensitive to rewards – Evidence from intracerebral recordings. Brain Stimul 2017; 10:657-663. [DOI: 10.1016/j.brs.2017.01.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2016] [Revised: 12/18/2016] [Accepted: 01/07/2017] [Indexed: 10/20/2022] Open
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26
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Pujol S, Cabeen R, Sébille SB, Yelnik J, François C, Fernandez Vidal S, Karachi C, Zhao Y, Cosgrove GR, Jannin P, Kikinis R, Bardinet E. In vivo Exploration of the Connectivity between the Subthalamic Nucleus and the Globus Pallidus in the Human Brain Using Multi-Fiber Tractography. Front Neuroanat 2017; 10:119. [PMID: 28154527 PMCID: PMC5243825 DOI: 10.3389/fnana.2016.00119] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 11/25/2016] [Indexed: 11/13/2022] Open
Abstract
The basal ganglia is part of a complex system of neuronal circuits that play a key role in the integration and execution of motor, cognitive and emotional function in the human brain. Parkinson’s disease is a progressive neurological disorder of the motor circuit characterized by tremor, rigidity, and slowness of movement. Deep brain stimulation (DBS) of the subthalamic nucleus and the globus pallidus pars interna provides an efficient treatment to reduce symptoms and levodopa-induced side effects in Parkinson’s disease patients. While the underlying mechanism of action of DBS is still unknown, the potential modulation of white matter tracts connecting the surgical targets has become an active area of research. With the introduction of advanced diffusion MRI acquisition sequences and sophisticated post-processing techniques, the architecture of the human brain white matter can be explored in vivo. The goal of this study is to investigate the white matter connectivity between the subthalamic nucleus and the globus pallidus. Two multi-fiber tractography methods were used to reconstruct pallido-subthalamic, subthalamo-pallidal and pyramidal fibers in five healthy subjects datasets of the Human Connectome Project. The anatomical accuracy of the tracts was assessed by four judges with expertise in neuroanatomy, functional neurosurgery, and diffusion MRI. The variability among subjects was evaluated based on the fractional anisotropy and mean diffusivity of the tracts. Both multi-fiber approaches enabled the detection of complex fiber architecture in the basal ganglia. The qualitative evaluation by experts showed that the identified tracts were in agreement with the expected anatomy. Tract-derived measurements demonstrated relatively low variability among subjects. False-negative tracts demonstrated the current limitations of both methods for clinical decision-making. Multi-fiber tractography methods combined with state-of-the-art diffusion MRI data have the potential to help identify white matter tracts connecting DBS targets in functional neurosurgery intervention.
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Affiliation(s)
- Sonia Pujol
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Ryan Cabeen
- Department of Computer Science, Brown University, Providence RI, USA
| | - Sophie B Sébille
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127 Paris, France
| | - Jérôme Yelnik
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127 Paris, France
| | - Chantal François
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127 Paris, France
| | - Sara Fernandez Vidal
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127Paris, France; Centre de Neuro-Imagerie de Recherche, Institut du Cerveau et de la Moëlle EpinièreParis, France
| | - Carine Karachi
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127Paris, France; Department of Neurosurgery, Pitié-Salpêtrière HospitalParis, France
| | - Yulong Zhao
- LTSI, Inserm UMR 1099 - Université de Rennes Rennes, France
| | - G Rees Cosgrove
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Pierre Jannin
- LTSI, Inserm UMR 1099 - Université de Rennes Rennes, France
| | - Ron Kikinis
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Eric Bardinet
- Institut du Cerveau et de la Moëlle Epinière, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, University of Paris 06, UMR S 1127Paris, France; Centre de Neuro-Imagerie de Recherche, Institut du Cerveau et de la Moëlle EpinièreParis, France
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Rozanski VE, da Silva NM, Ahmadi SA, Mehrkens J, da Silva Cunha J, Houde JC, Vollmar C, Bötzel K, Descoteaux M. The role of the pallidothalamic fibre tracts in deep brain stimulation for dystonia: A diffusion MRI tractography study. Hum Brain Mapp 2016; 38:1224-1232. [PMID: 27862612 DOI: 10.1002/hbm.23450] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 09/14/2016] [Accepted: 10/18/2016] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Deep Brain Stimulation (DBS) of the Globus pallidus internus (GPi) is gold standard treatment in medically refractory dystonia. Recent evidence indicates that stimulation effects are also due to axonal modulation and affection of a fibre network. For the GPi, the pallidothalamic tracts are known to be the major motor efferent pathways. The aim of this study is to explore the anatomic vicinity of these tracts and DBS electrodes in dystonia applying diffusion tractography. METHODS Diffusion MRI was acquired in ten patients presenting for DBS for dystonia. We applied both a conventionally used probabilistic tractography algorithm (FSL) as well as a probabilistic streamline tracking approach, based on constrained spherical deconvolution and particle filtering with anatomic priors, to the datasets. DBS electrodes were coregistered to the diffusion datasets. RESULTS We were able to delineate the pallidothalamic tracts in all patients. Using the streamline approach, we were able to distinguish between the two sub-components of the tracts, the ansa lenticularis and the fasciculus lenticularis. Clinically efficient DBS electrodes displayed a close anatomic vicinity pathway of the pallidothalamic tracts, and their course was consistent with previous tracer labelling studies. Although we present only anatomic data, we interpret these findings as evidence of the possible involvement of fibre tracts to the clinical effect in DBS. Electrophysiological intraoperative recordings would be needed to complement our findings. In the future, a clear and individual delineation of the pallidothalamic tracts could optimize the stereotactic process of optimal electrode localization. Hum Brain Mapp 38:1224-1232, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
| | - Nadia Moreira da Silva
- Department of Engineering, INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal
| | - Seyed-Ahmad Ahmadi
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | - Jan Mehrkens
- Department of Neurosurgery, Klinikum Grosshadern, University of Munich, Germany
| | - Joao da Silva Cunha
- Department of Engineering, INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal
| | - Jean-Christophe Houde
- Department of Computer Science, Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Christian Vollmar
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | - Kai Bötzel
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | - Maxime Descoteaux
- Department of Computer Science, Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Québec, Canada
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da Silva NM, Ahmadi SA, Tafula SN, Cunha JPS, Bötzel K, Vollmar C, Rozanski VE. A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS. Neuroimage 2016; 144:83-91. [PMID: 27646126 DOI: 10.1016/j.neuroimage.2016.06.018] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 04/19/2016] [Accepted: 06/10/2016] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The GPi (globus pallidus internus) is an important target nucleus for Deep Brain Stimulation (DBS) in medically refractory movement disorders, in particular dystonia and Parkinson's disease. Beneficial clinical outcome critically depends on precise electrode localization. Recent evidence indicates that not only neurons, but also axonal fibre tracts contribute to promoting the clinical effect. Thus, stereotactic planning should, in the future, also take the individual course of fibre tracts into account. OBJECTIVE The aim of this project is to explore the GPi connectivity profile and provide a connectivity-based parcellation of the GPi. METHODS Diffusion MRI sequences were performed in sixteen healthy, right-handed subjects. Connectivity-based parcellation of the GPi was performed applying two independent methods: 1) a hypothesis-driven, seed-to-target approach based on anatomic priors set as connectivity targets and 2) a purely data-driven approach based on k-means clustering of the GPi. RESULTS Applying the hypothesis-driven approach, we obtained five major parcellation clusters, displaying connectivity to the prefrontal cortex, the brainstem, the GPe (globus pallidus externus), the putamen and the thalamus. Parcellation clusters obtained by both methods were similar in their connectivity profile. With the data-driven approach, we obtained three major parcellation clusters. Inter-individual variability was comparable with results obtained in thalamic parcellation. CONCLUSION The three parcellation clusters obtained by the purely data-driven method might reflect GPi subdivision into a sensorimotor, associative and limbic portion. Clinical and physiological studies indicate greatest clinical DBS benefit for electrodes placed in the postero-ventro-lateral GPi, the region displaying connectivity to the thalamus in our study and generally attributed to the sensorimotor system. Clinical studies relating DBS electrode positions to our GPi connectivity map would be needed to complement our findings.
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Affiliation(s)
- Nadia Moreira da Silva
- INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Seyed-Ahmad Ahmadi
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | - Sergio Neves Tafula
- INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Joao Paulo Silva Cunha
- INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Kai Bötzel
- INESC TEC and Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Christian Vollmar
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
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Neves Tafula SM, Moreira da Silva N, Rozanski VE, Silva Cunha JP. ABrIL - Advanced Brain Imaging Lab : a cloud based computation environment for cooperative neuroimaging projects. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2014:534-7. [PMID: 25570014 DOI: 10.1109/embc.2014.6943646] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Neuroscience is an increasingly multidisciplinary and highly cooperative field where neuroimaging plays an important role. Neuroimaging rapid evolution is demanding for a growing number of computing resources and skills that need to be put in place at every lab. Typically each group tries to setup their own servers and workstations to support their neuroimaging needs, having to learn from Operating System management to specific neuroscience software tools details before any results can be obtained from each setup. This setup and learning process is replicated in every lab, even if a strong collaboration among several groups is going on. In this paper we present a new cloud service model - Brain Imaging Application as a Service (BiAaaS) - and one of its implementation - Advanced Brain Imaging Lab (ABrIL) - in the form of an ubiquitous virtual desktop remote infrastructure that offers a set of neuroimaging computational services in an interactive neuroscientist-friendly graphical user interface (GUI). This remote desktop has been used for several multi-institution cooperative projects with different neuroscience objectives that already achieved important results, such as the contribution to a high impact paper published in the January issue of the Neuroimage journal. The ABrIL system has shown its applicability in several neuroscience projects with a relatively low-cost, promoting truly collaborative actions and speeding up project results and their clinical applicability.
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30
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Calabrese E. Diffusion Tractography in Deep Brain Stimulation Surgery: A Review. Front Neuroanat 2016; 10:45. [PMID: 27199677 PMCID: PMC4852260 DOI: 10.3389/fnana.2016.00045] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 04/08/2016] [Indexed: 12/27/2022] Open
Abstract
Deep brain stimulation (DBS) is believed to exert its therapeutic effects through modulation of brain circuitry, yet conventional preoperative planning does not allow direct targeting or visualization of white matter pathways. Diffusion MRI tractography (DT) is virtually the only non-invasive method of visualizing structural connectivity in the brain, leading many to suggest its use to guide DBS targeting. DT-guided DBS not only has the potential to allow direct white matter targeting for established applications [e.g., Parkinson’s disease (PD), essential tremor (ET), dystonia], but may also aid in the discovery of new therapeutic targets for a variety of other neurologic and psychiatric diseases. Despite these exciting opportunities, DT lacks standardization and rigorous anatomic validation, raising significant concern for the use of such data in stereotactic brain surgery. This review covers the technical details, proposed methods, and initial clinical data for the use of DT in DBS surgery. Rather than focusing on specific disease applications, this review focuses on methods that can be applied to virtually any DBS target.
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Affiliation(s)
- Evan Calabrese
- Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center Durham, NC, USA
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31
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Pelzer EA, Melzer C, Timmermann L, von Cramon DY, Tittgemeyer M. Basal ganglia and cerebellar interconnectivity within the human thalamus. Brain Struct Funct 2016; 222:381-392. [PMID: 27089884 PMCID: PMC5225161 DOI: 10.1007/s00429-016-1223-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Accepted: 04/03/2016] [Indexed: 12/26/2022]
Abstract
Basal ganglia and the cerebellum are part of a densely interconnected network. While both subcortical structures process information in basically segregated loops that primarily interact in the neocortex, direct subcortical interaction has been recently confirmed by neuroanatomical studies using viral transneuronal tracers in non-human primate brains. The thalamus is thought to be the main relay station of both projection systems. Yet, our understanding of subcortical basal ganglia and cerebellar interconnectivity within the human thalamus is rather sparse, primarily due to limitation in the acquisition of in vivo tracing. Consequently, we strive to characterize projections of both systems and their potential overlap within the human thalamus by diffusion MRI and tractography. Our analysis revealed a decreasing anterior-to-posterior gradient for pallido-thalamic connections in: (1) the ventral-anterior thalamus, (2) the intralaminar nuclei, and (3) midline regions. Conversely, we found a decreasing posterior-to-anterior gradient for dentato-thalamic projections predominantly in: (1) the ventral-lateral and posterior nucleus; (2) dorsal parts of the intralaminar nuclei and the subparafascicular nucleus, and (3) the medioventral and lateral mediodorsal nucleus. A considerable overlap of connectivity pattern was apparent in intralaminar nuclei and midline regions. Notably, pallidal and cerebellar projections were both hemispherically lateralized to the left thalamus. While strikingly consistent with findings from transneuronal studies in non-human primates as well as with pre-existing anatomical studies on developmentally expressed markers or pathological human brains, our assessment provides distinctive connectional fingerprints that illustrate the anatomical substrate of integrated functional networks between basal ganglia and the cerebellum. Thereby, our findings furnish useful implications for cerebellar contributions to the clinical symptomatology of movement disorders.
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Affiliation(s)
- Esther A Pelzer
- Translational Neurocirciutry Group, Max-Planck Institute for Metabolism Research Cologne, 50931, Cologne, Germany.,Department of Neurology, University Clinics Cologne, Cologne, Germany
| | - Corina Melzer
- Translational Neurocirciutry Group, Max-Planck Institute for Metabolism Research Cologne, 50931, Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Clinics Cologne, Cologne, Germany
| | - D Yves von Cramon
- Translational Neurocirciutry Group, Max-Planck Institute for Metabolism Research Cologne, 50931, Cologne, Germany.,Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Marc Tittgemeyer
- Translational Neurocirciutry Group, Max-Planck Institute for Metabolism Research Cologne, 50931, Cologne, Germany.
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Vanegas-Arroyave N, Lauro PM, Huang L, Hallett M, Horovitz SG, Zaghloul KA, Lungu C. Tractography patterns of subthalamic nucleus deep brain stimulation. Brain 2016; 139:1200-10. [PMID: 26921616 DOI: 10.1093/brain/aww020] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 01/05/2016] [Indexed: 01/08/2023] Open
Abstract
Deep brain stimulation therapy is an effective symptomatic treatment for Parkinson's disease, yet the precise mechanisms responsible for its therapeutic effects remain unclear. Although the targets of deep brain stimulation are grey matter structures, axonal modulation is known to play an important role in deep brain stimulation's therapeutic mechanism. Several white matter structures in proximity to the subthalamic nucleus have been implicated in the clinical benefits of deep brain stimulation for Parkinson's disease. We assessed the connectivity patterns that characterize clinically beneficial electrodes in Parkinson's disease patients, after deep brain stimulation of the subthalamic nucleus. We evaluated 22 patients with Parkinson's disease (11 females, age 57 ± 9.1 years, disease duration 13.3 ± 6.3 years) who received bilateral deep brain stimulation of the subthalamic nucleus at the National Institutes of Health. During an initial electrode screening session, one month after deep brain stimulation implantation, the clinical benefits of each contact were determined. The electrode was localized by coregistering preoperative magnetic resonance imaging and postoperative computer tomography images and the volume of tissue activated was estimated from stimulation voltage and impedance. Brain connectivity for the volume of tissue activated of deep brain stimulation contacts was assessed using probabilistic tractography with diffusion-tensor data. Areas most frequently connected to clinically effective contacts included the thalamus, substantia nigra, brainstem and superior frontal gyrus. A series of discriminant analyses demonstrated that the strength of connectivity to the superior frontal gyrus and the thalamus were positively associated with clinical effectiveness. The connectivity patterns observed in our study suggest that the modulation of white matter tracts directed to the superior frontal gyrus and the thalamus is associated with favourable clinical outcomes and may contribute to the therapeutic effects of deep brain stimulation. Our method can be further developed to reliably identify effective deep brain stimulation contacts and aid in the programming process.
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Affiliation(s)
- Nora Vanegas-Arroyave
- Department of Neurology, Columbia University College of Physicians and Surgeons New York, NY, USA
| | - Peter M Lauro
- Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ling Huang
- Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Silvina G Horovitz
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kareem A Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Codrin Lungu
- Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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O'Halloran R, Kopell BH, Sprooten E, Goodman WK, Frangou S. Multimodal Neuroimaging-Informed Clinical Applications in Neuropsychiatric Disorders. Front Psychiatry 2016; 7:63. [PMID: 27148092 PMCID: PMC4835492 DOI: 10.3389/fpsyt.2016.00063] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 03/29/2016] [Indexed: 01/10/2023] Open
Abstract
Recent advances in neuroimaging data acquisition and analysis hold the promise to enhance the ability to make diagnostic and prognostic predictions and perform treatment planning in neuropsychiatric disorders. Prior research using a variety of types of neuroimaging techniques has confirmed that neuropsychiatric disorders are associated with dysfunction in anatomical and functional brain circuits. We first discuss current challenges associated with the identification of reliable neuroimaging markers for diagnosis and prognosis in mood disorders and for neurosurgical treatment planning for deep brain stimulation (DBS). We then present data on the use of neuroimaging for the diagnosis and prognosis of mood disorders and for DBS treatment planning. We demonstrate how multivariate analyses of functional activation and connectivity parameters can be used to differentiate patients with bipolar disorder from those with major depressive disorder and non-affective psychosis. We also present data on connectivity parameters that mediate acute treatment response in affective and non-affective psychosis. We then focus on precision mapping of functional connectivity in native space. We describe the benefits of integrating anatomical fiber reconstruction with brain functional parameters and cortical surface measures to derive anatomically informed connectivity metrics within the morphological context of each individual brain. We discuss how this approach may be particularly promising in psychiatry, given the clinical and etiological heterogeneity of the disorders, and particularly in treatment response prediction and planning. Precision mapping of connectivity is essential for DBS. In DBS, treatment electrodes are inserted into positions near key gray matter nodes within the circuits considered relevant to disease expression. However, targeting white matter tracts that underpin connectivity within these circuits may increase treatment efficacy and tolerability therefore relevant for effective treatment. We demonstrate how this approach can be validated in the treatment of Parkinson's disease by identifying connectivity patterns that can be used as biomarkers for treatment planning and thus refine the traditional approach of DBS planning that uses only gray matter landmarks. Finally, we describe how this approach could be used in planning DBS treatment of psychiatric disorders.
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Affiliation(s)
- Rafael O'Halloran
- Brain Imaging Center, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai , New York, NY , USA
| | - Brian H Kopell
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emma Sprooten
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai , New York, NY , USA
| | - Wayne K Goodman
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai , New York, NY , USA
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Boccard SGJ, Fernandes HM, Jbabdi S, Van Hartevelt TJ, Kringelbach ML, Quaghebeur G, Moir L, Mancebo VP, Pereira EAC, Fitzgerald JJ, Green AL, Stein J, Aziz TZ. Tractography Study of Deep Brain Stimulation of the Anterior Cingulate Cortex in Chronic Pain: Key to Improve the Targeting. World Neurosurg 2015; 86:361-70.e1-3. [PMID: 26344354 DOI: 10.1016/j.wneu.2015.08.065] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 08/28/2015] [Accepted: 08/29/2015] [Indexed: 12/14/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) of the anterior cingulate cortex (ACC) is a new treatment for alleviating intractable neuropathic pain. However, it fails to help some patients. The large size of the ACC and the intersubject variability make it difficult to determine the optimal site to position DBS electrodes. The aim of this work was therefore to compare the ACC connectivity of patients with successful versus unsuccessful DBS outcomes to help guide future electrode placement. METHODS Diffusion magnetic resonance imaging (dMRI) and probabilistic tractography were performed preoperatively in 8 chronic pain patients (age 53.4 ± 6.1 years, 2 females) with ACC DBS, of whom 6 had successful (SO) and 2 unsuccessful outcomes (UOs) during a period of trialing. RESULTS The number of patients was too small to demonstrate any statistically significant differences. Nevertheless, we observed differences between patients with successful and unsuccessful outcomes in the fiber tract projections emanating from the volume of activated tissue around the electrodes. A strong connectivity to the precuneus area seems to predict unsuccessful outcomes in our patients (UO: 160n/SO: 27n), with (n), the number of streamlines per nonzero voxel. On the other hand, connectivity to the thalamus and brainstem through the medial forebrain bundle (MFB) was only observed in SO patients. CONCLUSIONS These findings could help improve presurgical planning by optimizing electrode placement, to selectively target the tracts that help to relieve patients' pain and to avoid those leading to unwanted effects.
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Affiliation(s)
- Sandra G J Boccard
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom.
| | - Henrique M Fernandes
- Department of Psychiatry, University of Oxford, United Kingdom; CFIN/MindLab, Aarhus University, Aarhus, Denmark
| | - Saad Jbabdi
- Centre for Functional MRI of the Brain (FMRIB), University of Oxford, United Kingdom
| | - Tim J Van Hartevelt
- Department of Psychiatry, University of Oxford, United Kingdom; CFIN/MindLab, Aarhus University, Aarhus, Denmark
| | - Morten L Kringelbach
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom; CFIN/MindLab, Aarhus University, Aarhus, Denmark
| | | | - Liz Moir
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
| | - Victor Piqueras Mancebo
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
| | - Erlick A C Pereira
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
| | - James J Fitzgerald
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
| | - Alexander L Green
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
| | - John Stein
- Department of Physiology, Anatomy, & Genetics, University of Oxford, United Kingdom
| | - Tipu Z Aziz
- Oxford Functional Neurosurgery and Experimental Neurology Group, Nuffield Departments of Clinical Neuroscience and Surgery, University of Oxford, United Kingdom
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Vasques X, Richardet R, Hill SL, Slater D, Chappelier JC, Pralong E, Bloch J, Draganski B, Cif L. Automatic target validation based on neuroscientific literature mining for tractography. Front Neuroanat 2015; 9:66. [PMID: 26074781 PMCID: PMC4445321 DOI: 10.3389/fnana.2015.00066] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 05/09/2015] [Indexed: 11/24/2022] Open
Abstract
Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.
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Affiliation(s)
- Xavier Vasques
- Blue Brain Project, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland ; IBM Systems France ; Laboratoire de Recherche en Neurosciences Cliniques France
| | - Renaud Richardet
- Blue Brain Project, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | - Sean L Hill
- Blue Brain Project, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | - David Slater
- Laboratoire de Recherche Neuroimagerie, Université de Lausanne Lausanne, Switzerland ; Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne Lausanne, Switzerland
| | - Jean-Cedric Chappelier
- School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | - Etienne Pralong
- Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne Lausanne, Switzerland
| | - Jocelyne Bloch
- Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne Lausanne, Switzerland
| | - Bogdan Draganski
- Laboratoire de Recherche Neuroimagerie, Université de Lausanne Lausanne, Switzerland ; Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne Lausanne, Switzerland
| | - Laura Cif
- Laboratoire de Recherche Neuroimagerie, Université de Lausanne Lausanne, Switzerland ; Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne Lausanne, Switzerland ; Département de Neurochirurgie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Université Montpellier 1 Montpellier, France
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36
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Zeuner KE, Knutzen A, Granert O, Götz J, Wolff S, Jansen O, Dressler D, Hefter H, Hallett M, Deuschl G, van Eimeren T, Witt K. Increased volume and impaired function: the role of the basal ganglia in writer's cramp. Brain Behav 2015; 5:e00301. [PMID: 25642386 PMCID: PMC4309880 DOI: 10.1002/brb3.301] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2014] [Revised: 11/02/2014] [Accepted: 11/05/2014] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION The pathophysiology of writer's cramp, a task-specific dystonia, remains unclear. The objective of this study was to investigate the basal ganglia circuit and the cerebellum during a complex motor sequence learning task carried out with the nonaffected hand in writer's cramp patients. METHODS We applied structural and functional imaging in 22 writer's cramp patients and 28 matched controls using 3T MRI. With the asymptomatic left hand all participants learned a complex, sequential, five-element sequence-tapping task as accurately and quickly as possible. Functional imaging was measured during a repeated (15 times), fixed block design with tapping (30 sec) and rest (30 sec). Additionally, gray matter volume of the basal ganglia was analyzed using voxel-based morphometry (VBM). RESULTS While behavior was comparable between groups, after small volume correction the anterior part of the right putamen and the left globus pallidus exhibited reduced blood oxygen level-dependent (BOLD) activity in patients during the sequential finger-tapping task. VBM analysis showed larger gray matter volume bilateral in the posterior part of the putamen and globus pallidus. There were no group differences in the cerebellum. CONCLUSION The results indicate an impairment of anterior basal ganglia loops involved in producing complex sequential movements of the unaffected hand. These findings are in line with previous reports of reduced neuronal activity in the globus pallidus internus. Higher gray matter volume of the putamen and globus pallidus may stem from elevated activity of the direct pathway, which could reflect a compensatory phenomenon or a primary predisposition, that is, endophenotypic trait.
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Affiliation(s)
| | - Arne Knutzen
- Department of Neurology, Kiel University Kiel, Germany
| | | | - Julia Götz
- Department of Neurology, Kiel University Kiel, Germany
| | - Stephan Wolff
- Department of Neuroradiology, Kiel University Kiel, Germany
| | - Olav Jansen
- Department of Neuroradiology, Kiel University Kiel, Germany
| | - Dirk Dressler
- Movement Disorders Section, Department of Neurology, Hannover Medical School Hannover, Germany
| | - Harald Hefter
- Department of Neurology, University of Düsseldorf Düsseldorf, Germany
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda, Maryland
| | | | | | - Karsten Witt
- Department of Neurology, Kiel University Kiel, Germany
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