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Theys C, Jaakkola E, Melzer TR, De Nil LF, Guenther FH, Cohen AL, Fox MD, Joutsa J. Localization of stuttering based on causal brain lesions. Brain 2024; 147:2203-2213. [PMID: 38797521 PMCID: PMC11146419 DOI: 10.1093/brain/awae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 01/23/2024] [Accepted: 02/06/2024] [Indexed: 05/29/2024] Open
Abstract
Stuttering affects approximately 1 in 100 adults and can result in significant communication problems and social anxiety. It most often occurs as a developmental disorder but can also be caused by focal brain damage. These latter cases may lend unique insight into the brain regions causing stuttering. Here, we investigated the neuroanatomical substrate of stuttering using three independent datasets: (i) case reports from the published literature of acquired neurogenic stuttering following stroke (n = 20, 14 males/six females, 16-77 years); (ii) a clinical single study cohort with acquired neurogenic stuttering following stroke (n = 20, 13 males/seven females, 45-87 years); and (iii) adults with persistent developmental stuttering (n = 20, 14 males/six females, 18-43 years). We used the first two datasets and lesion network mapping to test whether lesions causing acquired stuttering map to a common brain network. We then used the third dataset to test whether this lesion-based network was relevant to developmental stuttering. In our literature dataset, we found that lesions causing stuttering occurred in multiple heterogeneous brain regions, but these lesion locations were all functionally connected to a common network centred around the left putamen, including the claustrum, amygdalostriatal transition area and other adjacent areas. This finding was shown to be specific for stuttering (PFWE < 0.05) and reproducible in our independent clinical cohort of patients with stroke-induced stuttering (PFWE < 0.05), resulting in a common acquired stuttering network across both stroke datasets. Within the common acquired stuttering network, we found a significant association between grey matter volume and stuttering impact for adults with persistent developmental stuttering in the left posteroventral putamen, extending into the adjacent claustrum and amygdalostriatal transition area (PFWE < 0.05). We conclude that lesions causing acquired neurogenic stuttering map to a common brain network, centred to the left putamen, claustrum and amygdalostriatal transition area. The association of this lesion-based network with symptom severity in developmental stuttering suggests a shared neuroanatomy across aetiologies.
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Affiliation(s)
- Catherine Theys
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Institute of Language, Brain and Behaviour, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
| | - Elina Jaakkola
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
| | - Tracy R Melzer
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
- Department of Medicine, University of Otago, 8011 Christchurch, New Zealand
- RHCNZ—Pacific Radiology Canterbury, 8031 Christchurch, New Zealand
| | - Luc F De Nil
- Department of Speech-Language Pathology, University of Toronto, Toronto, ON M5G 1V7, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON M5G 1V7, Canada
| | - Frank H Guenther
- Departments of Speech, Language and Hearing Sciences and Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexander L Cohen
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, 20014 Turku, Finland
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2
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Nguyen MX, Brown AM, Lin T, Sillitoe RV, Gill JS. Targeting DBS to the centrolateral thalamic nucleus improves movement in a lesion-based model of acquired cerebellar dystonia in mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.21.595095. [PMID: 38826430 PMCID: PMC11142135 DOI: 10.1101/2024.05.21.595095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Dystonia is the third most common movement disorder and an incapacitating co-morbidity in a variety of neurologic conditions. Dystonia can be caused by genetic, degenerative, idiopathic, and acquired etiologies, which are hypothesized to converge on a "dystonia network" consisting of the basal ganglia, thalamus, cerebellum, and cerebral cortex. In acquired dystonia, focal lesions to subcortical areas in the network - the basal ganglia, thalamus, and cerebellum - lead to a dystonia that can be difficult to manage with canonical treatments, including deep brain stimulation (DBS). While studies in animal models have begun to parse the contribution of individual nodes in the dystonia network, how acquired injury to the cerebellar outflow tracts instigates dystonia; and how network modulation interacts with symptom latency remain as unexplored questions. Here, we present an electrolytic lesioning paradigm that bilaterally targets the cerebellar outflow tracts. We found that lesioning these tracts, at the junction of the superior cerebellar peduncles and the medial and intermediate cerebellar nuclei, resulted in acute, severe dystonia. We observed that dystonia is reduced with one hour of DBS of the centrolateral thalamic nucleus, a first order node in the network downstream of the cerebellar nuclei. In contrast, one hour of stimulation at a second order node in the short latency, disynaptic projection from the cerebellar nuclei, the striatum, did not modulate the dystonia in the short-term. Our study introduces a robust paradigm for inducing acute, severe dystonia, and demonstrates that targeted modulation based on network principles powerfully rescues motor behavior. These data inspire the identification of therapeutic targets for difficult to manage acquired dystonia.
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Affiliation(s)
- Megan X. Nguyen
- Department of Pediatrics, Division of Neurology and Developmental Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
| | - Amanda M. Brown
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
| | - Tao Lin
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
| | - Roy V. Sillitoe
- Department of Pediatrics, Division of Neurology and Developmental Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Jason S. Gill
- Department of Pediatrics, Division of Neurology and Developmental Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA
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3
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Scorr LM, Kilic-Berkmen G, Sutcliffe DJ, Dinasarapu AR, McKay JL, Bagchi P, Powell MD, Boss JM, Cereb N, Little M, Gragert L, Hanfelt J, McKeon A, Tyor W, Jinnah HA. Exploration of potential immune mechanisms in cervical dystonia. Parkinsonism Relat Disord 2024; 122:106036. [PMID: 38462403 PMCID: PMC11162750 DOI: 10.1016/j.parkreldis.2024.106036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/01/2024] [Accepted: 02/09/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Although there are many possible causes for cervical dystonia (CD), a specific etiology cannot be identified in most cases. Prior studies have suggested a relationship between autoimmune disease and some cases of CD, pointing to possible immunological mechanisms. OBJECTIVE The goal was to explore the potential role of multiple different immunological mechanisms in CD. METHODS First, a broad screening test compared neuronal antibodies in controls and CD. Second, unbiased blood plasma proteomics provided a broad screen for potential biologic differences between controls and CD. Third, a multiplex immunoassay compared 37 markers associated with immunological processes in controls and CD. Fourth, relative immune cell frequencies were investigated in blood samples of controls and CD. Finally, sequencing studies investigated the association of HLA DQB1 and DRB1 alleles in controls versus CD. RESULTS Screens for anti-neuronal antibodies did not reveal any obvious abnormalities. Plasma proteomics pointed towards certain abnormalities of immune mechanisms, and the multiplex assay pointed more specifically towards abnormalities in T lymphocytes. Abnormal immune cell frequencies were identified for some CD cases, and these cases clustered together as a potential subgroup. Studies of HLA alleles indicated a possible association between CD and DRB1*15:03, which is reported to mediate the penetrance of autoimmune disorders. CONCLUSIONS Altogether, the association of CD with multiple different blood-based immune measures point to abnormalities in cell-mediated immunity that may play a pathogenic role for a subgroup of individuals with CD.
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Affiliation(s)
- Laura M Scorr
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Gamze Kilic-Berkmen
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Diane J Sutcliffe
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Ashok R Dinasarapu
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - J Lucas McKay
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA; Department of Biomedical Infortmatics, Emory School of Medicine, Atlanta, GA, 30322, USA
| | - Pritha Bagchi
- Integrated Proteomics Core, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Michael D Powell
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Jeremy M Boss
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | | | - Marian Little
- Division of Biomedical Informatics and Genomics, Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Loren Gragert
- Division of Biomedical Informatics and Genomics, Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - John Hanfelt
- Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, 30322, USA
| | - Andrew McKeon
- Department of Laboratory Medicine and Pathology, Neurology and Immunology and Department of Neurology, Mayo Clinic, Rochester Mayo Clinic, Rochester, 55902, MN, USA
| | - William Tyor
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA; Atlanta VA Medical Center, Decatur, GA, 30033, USA
| | - H A Jinnah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
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Wang Y, Yang Y, Xu W, Yao X, Xie X, Zhang L, Sun J, Wang L, Hua Q, He K, Tian Y, Wang K, Ji GJ. Heterogeneous Brain Abnormalities in Schizophrenia Converge on a Common Network Associated With Symptom Remission. Schizophr Bull 2024; 50:545-556. [PMID: 38253437 PMCID: PMC11059819 DOI: 10.1093/schbul/sbae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
BACKGROUND AND HYPOTHESIS There is a huge heterogeneity of magnetic resonance imaging findings in schizophrenia studies. Here, we hypothesized that brain regions identified by structural and functional imaging studies of schizophrenia could be reconciled in a common network. STUDY DESIGN We systematically reviewed the case-control studies that estimated the brain morphology or resting-state local function for schizophrenia patients in the literature. Using the healthy human connectome (n = 652) and a validated technique "coordinate network mapping" to identify a common brain network affected in schizophrenia. Then, the specificity of this schizophrenia network was examined by independent data collected from 13 meta-analyses. The clinical relevance of this schizophrenia network was tested on independent data of medication, neuromodulation, and brain lesions. STUDY RESULTS We identified 83 morphological and 60 functional studies comprising 7389 patients with schizophrenia and 7408 control subjects. The "coordinate network mapping" showed that the atrophy and dysfunction coordinates were functionally connected to a common network although they were spatially distant from each other. Taking all 143 studies together, we identified the schizophrenia network with hub regions in the bilateral anterior cingulate cortex, insula, temporal lobe, and subcortical structures. Based on independent data from 13 meta-analyses, we showed that these hub regions were specifically connected with regions of cortical thickness changes in schizophrenia. More importantly, this schizophrenia network was remarkably aligned with regions involving psychotic symptom remission. CONCLUSIONS Neuroimaging abnormalities in cross-sectional schizophrenia studies converged into a common brain network that provided testable targets for developing precise therapies.
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Affiliation(s)
- Yingru Wang
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Yinian Yang
- Department of Clinical Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Wenqiang Xu
- Department of Clinical Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Xiaoqing Yao
- Department of Clinical Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Xiaohui Xie
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Long Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Lu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Qiang Hua
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Kongliang He
- Department of Psychiatry, Fourth People’s Hospital of Hefei, Anhui Mental Health Center, Hefei, China
| | - Yanghua Tian
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders,Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
- Anhui Institute of Translational Medicine, Hefei, China
| | - Gong-Jun Ji
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
- Department of Clinical Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders,Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
- Anhui Institute of Translational Medicine, Hefei, China
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Gelineau-Morel R, Dlamini N, Bruss J, Cohen AL, Robertson A, Alexopoulos D, Smyser CD, Boes AD. Network localization of pediatric lesion-induced dystonia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.06.24305421. [PMID: 38645071 PMCID: PMC11030491 DOI: 10.1101/2024.04.06.24305421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective Dystonia is a movement disorder defined by involuntary muscle contractions leading to abnormal postures or twisting and repetitive movements. Classically dystonia has been thought of as a disorder of the basal ganglia, but newer results in idiopathic dystonia and lesion-induced dystonia in adults point to broader motor network dysfunction spanning the basal ganglia, cerebellum, premotor cortex, sensorimotor, and frontoparietal regions. It is unclear whether a similar network is shared between different etiologies of pediatric lesion-induced dystonia. Methods Three cohorts of pediatric patients with lesion-induced dystonia were identified. The lesion etiologies included hypoxia, kernicterus, and stroke versus comparison subjects with acquired lesions not associated with dystonia. Multivariate lesion-symptom mapping and lesion network mapping were used to evaluate the anatomy and networks associated with dystonia. Results Multivariate lesion-symptom mapping showed that lesions of the putamen (stroke: r = 0.50, p <0.01; hypoxia, r = 0.64, p <0.001) and globus pallidus (kernicterus, r = 0.61, p <0.01) were associated with dystonia. Lesion network mapping using normative connectome data from healthy children demonstrated that these regional findings occurred within a common brain-wide network that involves the basal ganglia, anterior and medial cerebellum, and cortical regions that overlap the cingulo-opercular and somato-cognitive-action networks. Interpretation We interpret these findings as novel evidence for a unified dystonia brain network that involves the somato-cognitive-action network, which is involved in higher order coordination of movement. Elucidation of this network gives insight into the functional origins of dystonia and provides novel targets to investigate for therapeutic intervention.
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Affiliation(s)
- Rose Gelineau-Morel
- Division of Neurology, Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, Missouri, USA
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Nomazulu Dlamini
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Canada
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Joel Bruss
- Department of Pediatrics, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Department of Neurology, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Alexander Li Cohen
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Amanda Robertson
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Canada
| | | | - Christopher D. Smyser
- Department of Neurology, Washington University, St Louis, Missouri, USA
- Department of Pediatrics, Washington University, St Louis, Missouri, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, Missouri, USA
| | - Aaron D. Boes
- Department of Pediatrics, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Department of Neurology, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, Iowa, USA Characters in title: 57, Characters in running head: 31
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Xu J, Zhang X, Cheng Q, Zhang H, Zhong L, Luo Y, Zhang Y, Ou Z, Yan Z, Peng K, Liu G. Abnormal supplementary motor areas are associated with idiopathic and acquired blepharospasm. Parkinsonism Relat Disord 2024; 121:106029. [PMID: 38394948 DOI: 10.1016/j.parkreldis.2024.106029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024]
Abstract
Blepharospasm is a common form of focal dystonia characterized by excessive and involuntary spasms of the orbicularis oculi. In addition to idiopathic blepharospasm, lesions in various brain regions can also cause acquired blepharospasm. Whether these two types of blepharospasm share a common brain network remains largely unknown. Herein, we performed lesion coactivation network mapping, based on meta-analytic connectivity modeling, to test whether lesions causing blepharospasm could be mapped to a common coactivation brain network. We then tested the abnormality of the network in patients with idiopathic blepharospasm (n = 42) compared with healthy controls (n = 44). We identified 21 cases of lesion-induced blepharospasms through a systematic literature search. Although these lesions were heterogeneous, they were part of a co-activated brain network that mainly included the bilateral supplementary motor areas. Coactivation of these regions defines a single brain network that encompasses or is adjacent to most heterogeneous lesions causing blepharospasm. Moreover, the bilateral supplementary motor area is primarily associated with action execution, visual motion, and imagination, and participates in finger tapping and saccades. They also reported decreased functional connectivity with the left posterior cingulate cortex in patients with idiopathic blepharospasm. These results demonstrate a common convergent abnormality of the supplementary motor area across idiopathic and acquired blepharospasms, providing additional evidence that the supplementary motor area is an important brain region that is pathologically impaired in patients with blepharospasm.
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Affiliation(s)
- Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xiaodong Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; Shenzhen Children's Hospital, Shenzhen, 518000, China
| | - Qinxiu Cheng
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Haoran Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Linchang Zhong
- Department of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Yuhan Luo
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, China
| | - Yue Zhang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, China
| | - Zilin Ou
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, China
| | - Zhicong Yan
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, China
| | - Kangqiang Peng
- Department of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
| | - Gang Liu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, 510080, China.
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7
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Sarasso E, Emedoli D, Gardoni A, Zenere L, Canu E, Basaia S, Doretti A, Ticozzi N, Iannaccone S, Amadio S, Del Carro U, Filippi M, Agosta F. Cervical motion alterations and brain functional connectivity in cervical dystonia. Parkinsonism Relat Disord 2024; 120:106015. [PMID: 38325256 DOI: 10.1016/j.parkreldis.2024.106015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/10/2024] [Accepted: 01/26/2024] [Indexed: 02/09/2024]
Abstract
INTRODUCTION Evaluating the neural correlates of sensorimotor control deficits in cervical dystonia (CD) is fundamental to plan the best treatment. This study aims to assess kinematic and resting-state functional connectivity (RS-FC) characteristics in CD patients relative to healthy controls. METHODS Seventeen CD patients and 14 age-/sex-matched healthy controls were recruited. Electromagnetic sensors were used to evaluate dystonic pattern, mean/maximal cervical movement amplitude and joint position error with eyes open and closed, and movement quality during target reaching with the head. RS-fMRI was acquired to compare the FC of brain sensorimotor regions between patients and controls. In patients, correlations between motion analysis and FC data were assessed. RESULTS CD patients relative to controls showed reduced mean and maximal cervical range of motion (RoM) in rotation both towards and against dystonia pattern and reduced total RoM in rotation both with eyes open and closed. They had less severe dystonia pattern with eyes open vs eyes closed. CD patients showed an altered movement quality and sensorimotor control during target reaching and a higher joint position error. Compared to controls, CD patients showed reduced FC between supplementary motor area (SMA), occipital and cerebellar areas, which correlated with lower cervical RoM in rotation both with eyes open and closed and with worse movement quality during target reaching. CONCLUSIONS FC alterations between SMA and occipital and cerebellar areas may represent the neural basis of cervical sensorimotor control deficits in CD patients. Electromagnetic sensors and RS-fMRI might be promising tools to monitor CD and assess the efficacy of rehabilitative interventions.
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Affiliation(s)
- Elisabetta Sarasso
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, Genoa, Italy
| | - Daniele Emedoli
- Department of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Gardoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucia Zenere
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alberto Doretti
- Department of Neurology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology, IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefano Amadio
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ubaldo Del Carro
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Hollunder B, Ostrem JL, Sahin IA, Rajamani N, Oxenford S, Butenko K, Neudorfer C, Reinhardt P, Zvarova P, Polosan M, Akram H, Vissani M, Zhang C, Sun B, Navratil P, Reich MM, Volkmann J, Yeh FC, Baldermann JC, Dembek TA, Visser-Vandewalle V, Alho EJL, Franceschini PR, Nanda P, Finke C, Kühn AA, Dougherty DD, Richardson RM, Bergman H, DeLong MR, Mazzoni A, Romito LM, Tyagi H, Zrinzo L, Joyce EM, Chabardes S, Starr PA, Li N, Horn A. Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation. Nat Neurosci 2024; 27:573-586. [PMID: 38388734 PMCID: PMC10917675 DOI: 10.1038/s41593-024-01570-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 01/05/2024] [Indexed: 02/24/2024]
Abstract
Frontal circuits play a critical role in motor, cognitive and affective processing, and their dysfunction may result in a variety of brain disorders. However, exactly which frontal domains mediate which (dys)functions remains largely elusive. We studied 534 deep brain stimulation electrodes implanted to treat four different brain disorders. By analyzing which connections were modulated for optimal therapeutic response across these disorders, we segregated the frontal cortex into circuits that had become dysfunctional in each of them. Dysfunctional circuits were topographically arranged from occipital to frontal, ranging from interconnections with sensorimotor cortices in dystonia, the primary motor cortex in Tourette's syndrome, the supplementary motor area in Parkinson's disease, to ventromedial prefrontal and anterior cingulate cortices in obsessive-compulsive disorder. Our findings highlight the integration of deep brain stimulation with brain connectomics as a powerful tool to explore couplings between brain structure and functional impairments in the human brain.
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Affiliation(s)
- Barbara Hollunder
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jill L Ostrem
- Movement Disorders and Neuromodulation Centre, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ilkem Aysu Sahin
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Nanditha Rajamani
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Simón Oxenford
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Pablo Reinhardt
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Zvarova
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Mircea Polosan
- Université Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Psychiatry, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Harith Akram
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Matteo Vissani
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Chencheng Zhang
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pavel Navratil
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Martin M Reich
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Juan Carlos Baldermann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Till A Dembek
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Pranav Nanda
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carsten Finke
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea A Kühn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hagai Bergman
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
- Department of Medical Neurobiology, Institute of Medical Research Israel-Canada, The Hebrew University, Hadassah Medical School, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Mahlon R DeLong
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Luigi M Romito
- Parkinson and Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Himanshu Tyagi
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Department of Neuropsychiatry, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Eileen M Joyce
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Department of Neuropsychiatry, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Stephan Chabardes
- Université Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Neurosurgery, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Philip A Starr
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Ningfei Li
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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9
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Guo Z, Lin JP, Simeone O, Mills KR, Cvetkovic Z, McClelland VM. Cross-frequency cortex-muscle interactions are abnormal in young people with dystonia. Brain Commun 2024; 6:fcae061. [PMID: 38487552 PMCID: PMC10939448 DOI: 10.1093/braincomms/fcae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 01/10/2024] [Accepted: 02/23/2024] [Indexed: 03/17/2024] Open
Abstract
Sensory processing and sensorimotor integration are abnormal in dystonia, including impaired modulation of beta-corticomuscular coherence. However, cortex-muscle interactions in either direction are rarely described, with reports limited predominantly to investigation of linear coupling, using corticomuscular coherence or Granger causality. Information-theoretic tools such as transfer entropy detect both linear and non-linear interactions between processes. This observational case-control study applies transfer entropy to determine intra- and cross-frequency cortex-muscle coupling in young people with dystonia/dystonic cerebral palsy. Fifteen children with dystonia/dystonic cerebral palsy and 13 controls, aged 12-18 years, performed a grasp task with their dominant hand. Mechanical perturbations were provided by an electromechanical tapper. Bipolar scalp EEG over contralateral sensorimotor cortex and surface EMG over first dorsal interosseous were recorded. Multi-scale wavelet transfer entropy was applied to decompose signals into functional frequency bands of oscillatory activity and to quantify intra- and cross-frequency coupling between brain and muscle. Statistical significance against the null hypothesis of zero transfer entropy was established, setting individual 95% confidence thresholds. The proportion of individuals in each group showing significant transfer entropy for each frequency combination/direction was compared using Fisher's exact test, correcting for multiple comparisons. Intra-frequency transfer entropy was detected in all participants bidirectionally in the beta (16-32 Hz) range and in most participants from EEG to EMG in the alpha (8-16 Hz) range. Cross-frequency transfer entropy across multiple frequency bands was largely similar between groups, but a specific coupling from low-frequency EMG to beta EEG was significantly reduced in dystonia [P = 0.0061 (corrected)]. The demonstration of bidirectional cortex-muscle communication in dystonia emphasizes the value of transfer entropy for exploring neural communications in neurological disorders. The novel finding of diminished coupling from low-frequency EMG to beta EEG in dystonia suggests impaired cortical feedback of proprioceptive information with a specific frequency signature that could be relevant to the origin of the excessive low-frequency drive to muscle.
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Affiliation(s)
- Zhenghao Guo
- Department of Engineering, King's College London, London WC2R 2LS, UK
- School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Jean-Pierre Lin
- Children's Neuroscience, Evelina London Children's Hospital, Guy's & St Thomas' NHS Foundation Trust (GSTT), London SE1 7EH, UK
| | - Osvaldo Simeone
- Department of Engineering, King's College London, London WC2R 2LS, UK
| | - Kerry R Mills
- Department of Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London SE5 9RX, UK
| | - Zoran Cvetkovic
- Department of Engineering, King's College London, London WC2R 2LS, UK
| | - Verity M McClelland
- Children's Neuroscience, Evelina London Children's Hospital, Guy's & St Thomas' NHS Foundation Trust (GSTT), London SE1 7EH, UK
- Department of Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London SE5 9RX, UK
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Gemperli K, Folorunso F, Norin B, Joshua R, Hill C, Rykowski R, Galindo R, Aravamuthan BR. Mice born preterm develop gait dystonia and reduced cortical parvalbumin immunoreactivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.01.578353. [PMID: 38352408 PMCID: PMC10862908 DOI: 10.1101/2024.02.01.578353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Preterm birth leading to cerebral palsy (CP) is the most common cause of childhood dystonia, a movement disorder that is debilitating and often treatment refractory. Dystonia has been typically associated with dysfunction of striatal cholinergic interneurons, but clinical imaging data suggests that cortical injury may best predict dystonia following preterm birth. Furthermore, abnormal sensorimotor cortex inhibition has been found in many studies of non-CP dystonias. To assess the potential for a cortical etiology of dystonia following preterm birth, we developed a new model of preterm birth in mice. Noting that term delivery in mice on a C57BL/6J background is embryonic day 19.1 (E19.1), we induced preterm birth at the limits of pup viability at embryonic day (E) 18.3, equivalent to human 22 weeks gestation. Mice born preterm demonstrate display clinically validated metrics of dystonia during gait (leg adduction amplitude and variability) and also demonstrate reduced parvalbumin immunoreactivity in the sensorimotor cortex, suggesting dysfunction of cortical parvalbumin-positive inhibitory interneurons. Notably, reduced parvalbumin immunoreactivity or changes in parvalbumin-positive neuronal number were not observed in the striatum. These data support the association between cortical dysfunction and dystonia following preterm birth. We propose that our mouse model of preterm birth can be used to study this association and potentially also study other sequelae of extreme prematurity.
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Affiliation(s)
- Kat Gemperli
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Femi Folorunso
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Benjamin Norin
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Rebecca Joshua
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Clayton Hill
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Rachel Rykowski
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
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11
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Roseman M, Elias U, Kletenik I, Ferguson MA, Fox MD, Horowitz Z, Marshall GA, Spiers HJ, Arzy S. A neural circuit for spatial orientation derived from brain lesions. Cereb Cortex 2024; 34:bhad486. [PMID: 38100330 PMCID: PMC10793567 DOI: 10.1093/cercor/bhad486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023] Open
Abstract
There is disagreement regarding the major components of the brain network supporting spatial cognition. To address this issue, we applied a lesion mapping approach to the clinical phenomenon of topographical disorientation. Topographical disorientation is the inability to maintain accurate knowledge about the physical environment and use it for navigation. A review of published topographical disorientation cases identified 65 different lesion sites. Our lesion mapping analysis yielded a topographical disorientation brain map encompassing the classic regions of the navigation network: medial parietal, medial temporal, and temporo-parietal cortices. We also identified a ventromedial region of the prefrontal cortex, which has been absent from prior descriptions of this network. Moreover, we revealed that the regions mapped are correlated with the Default Mode Network sub-network C. Taken together, this study provides causal evidence for the distribution of the spatial cognitive system, demarking the major components and identifying novel regions.
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Affiliation(s)
- Moshe Roseman
- Neuropsychiatry Lab, Department of Medical Neurosciences, Faculty of Medicine, Hadassah Ein Kerem Campus, Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Uri Elias
- Neuropsychiatry Lab, Department of Medical Neurosciences, Faculty of Medicine, Hadassah Ein Kerem Campus, Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Isaiah Kletenik
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham & Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
- Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115, United States
| | - Michael A Ferguson
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham & Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham & Women’s Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Zalman Horowitz
- Neuropsychiatry Lab, Department of Medical Neurosciences, Faculty of Medicine, Hadassah Ein Kerem Campus, Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Gad A Marshall
- Harvard Medical School, Boston, MA 02115, United States
- Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115, United States
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Hugo J Spiers
- Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London WC1H 0AP, United Kingdom
| | - Shahar Arzy
- Neuropsychiatry Lab, Department of Medical Neurosciences, Faculty of Medicine, Hadassah Ein Kerem Campus, Hebrew University of Jerusalem, Jerusalem 9112001, Israel
- Department of Neurology, Hadassah Hebrew University Medical School, Jerusalem 9112001, Israel
- Department of Brain and Cognitive Sciences, Hebrew University of Jerusalem, Jerusalem 9190501, Israel
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12
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Gill JS, Nguyen MX, Hull M, van der Heijden ME, Nguyen K, Thomas SP, Sillitoe RV. Function and dysfunction of the dystonia network: an exploration of neural circuits that underlie the acquired and isolated dystonias. DYSTONIA 2023; 2:11805. [PMID: 38273865 PMCID: PMC10810232 DOI: 10.3389/dyst.2023.11805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Dystonia is a highly prevalent movement disorder that can manifest at any time across the lifespan. An increasing number of investigations have tied this disorder to dysfunction of a broad "dystonia network" encompassing the cerebellum, thalamus, basal ganglia, and cortex. However, pinpointing how dysfunction of the various anatomic components of the network produces the wide variety of dystonia presentations across etiologies remains a difficult problem. In this review, a discussion of functional network findings in non-mendelian etiologies of dystonia is undertaken. Initially acquired etiologies of dystonia and how lesion location leads to alterations in network function are explored, first through an examination of cerebral palsy, in which early brain injury may lead to dystonic/dyskinetic forms of the movement disorder. The discussion of acquired etiologies then continues with an evaluation of the literature covering dystonia resulting from focal lesions followed by the isolated focal dystonias, both idiopathic and task dependent. Next, how the dystonia network responds to therapeutic interventions, from the "geste antagoniste" or "sensory trick" to botulinum toxin and deep brain stimulation, is covered with an eye towards finding similarities in network responses with effective treatment. Finally, an examination of how focal network disruptions in mouse models has informed our understanding of the circuits involved in dystonia is provided. Together, this article aims to offer a synthesis of the literature examining dystonia from the perspective of brain networks and it provides grounding for the perspective of dystonia as disorder of network function.
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Affiliation(s)
- Jason S. Gill
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
| | - Megan X. Nguyen
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
| | - Mariam Hull
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| | - Meike E. van der Heijden
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United State
| | - Ken Nguyen
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United State
| | - Sruthi P. Thomas
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, United States
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Roy V. Sillitoe
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United State
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
- Development, Disease Models and Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, United States
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13
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van der Heijden ME, Sillitoe RV. Cerebellar dysfunction in rodent models with dystonia, tremor, and ataxia. DYSTONIA 2023; 2:11515. [PMID: 38105800 PMCID: PMC10722573 DOI: 10.3389/dyst.2023.11515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Dystonia is a movement disorder characterized by involuntary co- or over-contractions of the muscles, which results in abnormal postures and movements. These symptoms arise from the pathophysiology of a brain-wide dystonia network. There is mounting evidence suggesting that the cerebellum is a central node in this network. For example, manipulations that target the cerebellum cause dystonic symptoms in mice, and cerebellar neuromodulation reduces these symptoms. Although numerous findings provide insight into dystonia pathophysiology, they also raise further questions. Namely, how does cerebellar pathophysiology cause the diverse motor abnormalities in dystonia, tremor, and ataxia? Here, we describe recent work in rodents showing that distinct cerebellar circuit abnormalities could define different disorders and we discuss potential mechanisms that determine the behavioral presentation of cerebellar diseases.
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Affiliation(s)
- Meike E. van der Heijden
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
| | - Roy V. Sillitoe
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, United States
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
- Program in Developmental Biology, Baylor College of Medicine, Houston, TX, United States
- Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, United States
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14
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Leon LES, Kim LH, Sillitoe RV. Cerebellar deep brain stimulation as a dual-function therapeutic for restoring movement and sleep in dystonic mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.30.564790. [PMID: 37961355 PMCID: PMC10635001 DOI: 10.1101/2023.10.30.564790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Dystonia arises with cerebellar dysfunction, which plays a key role in the emergence of multiple pathophysiological deficits that range from abnormal movements and postures to disrupted sleep. Current therapeutic interventions typically do not simultaneously address both the motor and non-motor (sleep-related) symptoms of dystonia, underscoring the necessity for a multi-functional therapeutic strategy. Deep brain stimulation (DBS) is effectively used to reduce motor symptoms in dystonia, with existing parallel evidence arguing for its potential to correct sleep disturbances. However, the simultaneous efficacy of DBS for improving sleep and motor dysfunction, specifically by targeting the cerebellum, remains underexplored. Here, we test the effect of cerebellar DBS in two genetic mouse models with dystonia that exhibit sleep defects- Ptf1a Cre ;Vglut2 fx/fx and Pdx1 Cre ;Vglut2 fx/fx -which have overlapping cerebellar circuit miswiring defects but differing severity in motor phenotypes. By targeting DBS to the cerebellar fastigial and interposed nuclei, we modulated sleep dysfunction by enhancing sleep quality and timing in both models. This DBS paradigm improved wakefulness (decreased) and rapid eye movement (REM) sleep (increased) in both mutants. Additionally, the latency to reach REM sleep, a deficit observed in human dystonia patients, was reduced in both models. Cerebellar DBS also induced alterations in the electrocorticogram (ECoG) patterns that define sleep states. As expected, DBS reduced the severe dystonic twisting motor symptoms that are observed in the Ptf1a Cre ;Vglut2 fx/fx mutant mice. These findings highlight the potential for using cerebellar DBS to improve sleep and reduce motor dysfunction in dystonia and uncover its potential as a dual-effect in vivo therapeutic strategy.
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15
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Sedov A, Joshi P, Semenova U, Usova S, Asriyants S, Gamaleya A, Tomskiy A, Jinnah HA, Shaikh AG. Proprioceptive Modulation of Pallidal Physiology in Cervical Dystonia. Mov Disord 2023; 38:2094-2102. [PMID: 37702261 DOI: 10.1002/mds.29603] [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: 04/28/2023] [Revised: 08/08/2023] [Accepted: 08/24/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND There is a growing body of evidence suggesting that botulinum toxin can alter proprioceptive feedback and modulate the muscle-spindle output for the treatment of dystonia. However, the mechanism for this modulation remains unclear. METHODS We conducted a study involving 17 patients with cervical dystonia (CD), seven of whom had prominent CD and 10 with generalized dystonia (GD) along with CD. We investigated the effects of neck vibration, a form of proprioceptive modulation, on spontaneous single-neuron responses and local field potentials (LFPs) recorded from the globus pallidum externus (GPe) and internus (GPi). RESULTS Our findings demonstrated that neck vibration notably increased the regularity of neck-sensitive GPi neurons in focal CD patients. Additionally, in patients with GD and CD, the vibration enhanced the firing regularity of non-neck-sensitive neurons. These effects on single-unit activity were also mirrored in ensemble responses measured through LFPs. Notably, the LFP modulation was particularly pronounced in areas populated with burst neurons compared to pause or tonic cells. CONCLUSION The results from our study emphasize the significance of burst neurons in the pathogenesis of dystonia and in the efficacy of proprioceptive modulation for its treatment. Moreover, we observed that the effects of vibration on focal CD were prominent in the α band LFP, indicating modulation of pallido-cerebellar connectivity. Moreover, the pallidal effects of vibration in GD with CD involved modulation of cerebro-pallidal θ band connectivity. Our analysis provides insight into how vibration-induced changes in pallidal activity are integrated into the downstream motor circuit. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Alexey Sedov
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
| | - Prajakta Joshi
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Ulia Semenova
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
| | - Svetlana Usova
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
| | - Svetlana Asriyants
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
- Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russia
| | - Anna Gamaleya
- Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russia
| | - Alexey Tomskiy
- Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russia
| | - Hyder A Jinnah
- Department of Neurology, Pediatrics, and Genetics, Emory University, Atlanta, Georgia, USA
| | - Aasef G Shaikh
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Neurology, Case Western Reserve University, Cleveland, Ohio, USA
- Neurological Institute, University Hospitals, Cleveland, Ohio, USA
- Neurology Service, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA
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16
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Grimm K, Prilop L, Schön G, Gelderblom M, Misselhorn J, Gerloff C, Zittel S. Cerebellar Modulation of Sensorimotor Associative Plasticity Is Impaired in Cervical Dystonia. Mov Disord 2023; 38:2084-2093. [PMID: 37641392 DOI: 10.1002/mds.29586] [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: 05/09/2023] [Revised: 07/28/2023] [Accepted: 08/04/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND In recent years, cervical dystonia (CD) has been recognized as a network disorder that involves not only the basal ganglia but other brain regions, such as the primary motor and somatosensory cortex, brainstem, and cerebellum. So far, the role of the cerebellum in the pathophysiology of dystonia is only poorly understood. OBJECTIVE The objective of this study was to investigate the role of the cerebellum on sensorimotor associative plasticity in patients with CD. METHODS Sixteen patients with CD and 13 healthy subjects received cerebellar transcranial direct current stimulation (ctDCS) followed by a paired associative stimulation (PAS) protocol based on transcranial magnetic stimulation that induces sensorimotor associative plasticity. Across three sessions the participants received excitatory anodal, inhibitory cathodal, and sham ctDCS in a double-blind crossover design. Before and after the intervention, motor cortical excitability and motor symptom severity were assessed. RESULTS PAS induced an increase in motor cortical excitability in both healthy control subjects and patients with CD. In healthy subjects this effect was attenuated by both anodal and cathodal ctDCS with a stronger effect of cathodal stimulation. In patients with CD, anodal stimulation suppressed the PAS effect, whereas cathodal stimulation had no influence on PAS. Motor symptom severity was unchanged after the intervention. CONCLUSIONS Cerebellar modulation with cathodal ctDCS had no effect on sensorimotor associative plasticity in patients with CD, in contrast with the net inhibitory effect in healthy subjects. This is further evidence that the cerebello-thalamo-cortical network plays a role in the pathophysiology of dystonia. © 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)
- Kai Grimm
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lisa Prilop
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mathias Gelderblom
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jonas Misselhorn
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Zittel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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17
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Younger E, Ellis EG, Parsons N, Pantano P, Tommasin S, Caeyenberghs K, Benito-León J, Romero JP, Joutsa J, Corp DT. Mapping Essential Tremor to a Common Brain Network Using Functional Connectivity Analysis. Neurology 2023; 101:e1483-e1494. [PMID: 37596042 PMCID: PMC10585696 DOI: 10.1212/wnl.0000000000207701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 06/09/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The cerebello-thalamo-cortical circuit plays a critical role in essential tremor (ET). However, abnormalities have been reported in multiple brain regions outside this circuit, leading to inconsistent characterization of ET pathophysiology. Here, we test whether these mixed findings in ET localize to a common functional network and whether this network has therapeutic relevance. METHODS We conducted a systematic literature search to identify studies reporting structural or metabolic brain abnormalities in ET. We then used 'coordinate network mapping,' which leverages a normative connectome (n = 1,000) of resting-state fMRI data to identify regions commonly connected to findings across all studies. To assess whether these regions may be relevant for the treatment of ET, we compared our network with a therapeutic network derived from lesions that relieved ET. Finally, we investigated whether the functional connectivity of this ET symptom network is abnormal in an independent cohort of patients with ET as compared with healthy controls. RESULTS Structural and metabolic brain abnormalities in ET were located in heterogeneous regions throughout the brain. However, these coordinates were connected to a common functional brain network, including the cerebellum, thalamus, motor cortex, precuneus, inferior parietal lobe, and insula. The cerebellum was identified as the hub of this network because it was the only brain region that was both functionally connected to the findings of over 90% of studies and significantly different in connectivity compared with a control data set of other movement disorders. This network was strikingly similar to the therapeutic network derived from lesions improving ET, with key regions aligning in the thalamus and cerebellum. Furthermore, positive functional connectivity between the cerebellar network hub and the sensorimotor cortices was significantly reduced in patients with ET compared with healthy controls, and connectivity within this network was correlated with tremor severity and cognitive functioning. DISCUSSION These findings suggest that the cerebellum is the central hub of a network commonly connected to structural and metabolic abnormalities in ET. This network may have therapeutic utility in refining and informing new targets for neuromodulation of ET.
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Affiliation(s)
- Ellen Younger
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Elizabeth G Ellis
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicholas Parsons
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Patrizia Pantano
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Silvia Tommasin
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Karen Caeyenberghs
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Julián Benito-León
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Juan Pablo Romero
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Juho Joutsa
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Daniel T Corp
- From the Cognitive Neuroscience Unit (E.Y., E.G.E., N.P., K.C., D.T.C.), School of Psychology, Deakin University, Geelong, Australia; Human Neuroscience (P.P., S.T.), Sapienza University of Rome; IRCCS NEUROMED (P.P.), Pozzilli, Italy; Department of Neurology (J.B.-L.) and Research Institute (i+12), University Hospital "12 de Octubre"; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED) (J.B.-L.); Department of Medicine (J.B.-L.), Complutense University; Facultad de Ciencias Experimentales (J.P.R.), Universidad Francisco de Vitoria; Brain Damage Unit (J.P.R.), Hospital Beata María Ana, Madrid, Spain; Turku Brain and Mind Center (J.J.), Clinical Neurosciences, University of Turku; Turku PET Centre (J.J.), Neurocenter, Turku University Hospital, Finland; and Center for Brain Circuit Therapeutics (D.T.C.), Department of Neurology, Psychiatry, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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18
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Mascia MM, Belvisi D, Esposito M, Pellicciari R, Trinchillo A, Terranova C, Bertino S, Avanzino L, Di Biasio F, Bono F, Laterza V, Lettieri C, Eleopra R, Fabbrini G, Barbero P, Bertolasi L, Altavista MC, Erro R, Ceravolo R, Castagna A, Zibetti M, Bentivoglio AR, Cossu G, Magistrelli L, Scaglione C, Albanese A, Cotelli MS, Misceo S, Pisani A, Schirinzi T, Maderna L, Squintani G, Berardelli A, Defazio G. Do cerebrovascular risk factors impact the clinical expression of idiopathic isolated adult-onset dystonia? Parkinsonism Relat Disord 2023; 115:105851. [PMID: 37717501 DOI: 10.1016/j.parkreldis.2023.105851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/06/2023] [Accepted: 09/06/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND Although acquired dystonia may develop following ischaemic/haemorrhagic stroke, the relationship between cerebrovascular disease and idiopathic dystonia has been poorly investigated. This cross sectional study aimed at evaluating the impact of cerebrovascular risk factors on the clinical expression of idiopathic adult onset dystonia (IAOD), with reference to dystonia localization and dystonia-associated features. METHODS Data were obtained from the Italian Dystonia Registry. Patients with IAOD were stratified into two groups according to the presence of diabetes mellitus and/or arterial hypertension and/or dyslipidemia and/or heart disease. The two groups were compared for demographic features, dystonia phenotype, and dystonia-associated features (sensory trick, tremor, eye symptoms in blepharospasm, and neck pain in cervical dystonia). RESULTS A total of 1108 patients participated into the study. Patients who reported one cerebrovascular factor or more (n = 555) had higher age and longer disease duration than patients who did not. On multivariable logistic regression analysis, blepharospasm was the only localization, and sensory trick was the only dystonia-associated feature that was significantly associated with cerebrovascular risk factors. Linear regression analysis showed that the strength of the association between cerebrovascular factors and blepharospasm/sensory trick increased with increasing the number of cerebrovascular factors per patient. CONCLUSIONS Results of the present study showed that cerebrovascular risk factors may be associated with specific features of IAOD that is development of blepharospasm and sensory trick. Further studies are needed to better understand the meaning and the mechanisms underlying this association.
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Affiliation(s)
| | - Daniele Belvisi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | | | - Roberta Pellicciari
- Department of Translational Biomedicine and Neuroscience, University of Bari, Bari, Italy
| | - Assunta Trinchillo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, "Federico II" University, Naples, Italy
| | - Carmen Terranova
- Department of clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Salvatore Bertino
- Department of clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Laura Avanzino
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Francesco Bono
- Center for Botulinum Toxin Therapy, Neurologic Unit, A.O.U. Mater domini, Catanzaro, Italy
| | - Vincenzo Laterza
- Center for Botulinum Toxin Therapy, Neurologic Unit, A.O.U. Mater domini, Catanzaro, Italy
| | - Christian Lettieri
- Neurology Unit, University Hospital S.Maria della Misericordia, Udine, Italy
| | - Roberto Eleopra
- Neurology Unit, University Hospital S.Maria della Misericordia, Udine, Italy; Neurology Unit 1, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giovanni Fabbrini
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | | | | | | | - Roberto Erro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana" University of Salerno, Salerno, Italy
| | - Roberto Ceravolo
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Anna Castagna
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy
| | - Maurizio Zibetti
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Turin, Italy
| | - Anna Rita Bentivoglio
- Fondazione Policlinico Universitario A. Gemelli - IRCCS, Rome, Italy; Institute of Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giovanni Cossu
- Neurology Service and Stroke Unit, Department of Neuroscience, AO Brotzu, Cagliari, Italy
| | - Luca Magistrelli
- Movement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; PhD programme in clinical and Experimental Medicine and Medical Humanities, University of Insubria, Varese, Italy
| | - Cesa Scaglione
- IRCCS Institute of Neurological Sciences, Bologna, Italy
| | - Alberto Albanese
- Department of Neurology, IRCCS, Istituto Clinico Humanitas, Rozzano, Milan, Italy
| | | | | | - Antonio Pisani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Rome 'Tor Vergata', Rome, Italy
| | - Luca Maderna
- Department of Neurology and Laboratory of Neuroscience, IRCCS, Istituto Auxologico Italiano, Milan, Italy
| | - Giovanna Squintani
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Giovanni Defazio
- Department of Translational Biomedicine and Neuroscience, University of Bari, Bari, Italy
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19
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Rosenzopf H, Klingbeil J, Wawrzyniak M, Röhrig L, Sperber C, Saur D, Karnath HO. Thalamocortical disconnection involved in pusher syndrome. Brain 2023; 146:3648-3661. [PMID: 36943319 DOI: 10.1093/brain/awad096] [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: 10/21/2022] [Revised: 02/13/2023] [Accepted: 03/02/2023] [Indexed: 03/23/2023] Open
Abstract
The presence of both isolated thalamic and isolated cortical lesions have been reported in the context of pusher syndrome-a disorder characterized by a disturbed perception of one's own upright body posture, following unilateral left- or right-sided stroke. In recent times, indirect quantification of functional and structural disconnection increases the knowledge derived from focal brain lesions by inferring subsequent brain network damage from the respective lesion. We applied both measures to a sample of 124 stroke patients to investigate brain disconnection in pusher syndrome. Our results suggest a hub-like function of the posterior and lateral portions of the thalamus in the perception of one's own postural upright. Lesion network symptom mapping investigating functional disconnection indicated cortical diaschisis in cerebellar, frontal, parietal and temporal areas in patients with thalamic lesions suffering from pusher syndrome, but there was no evidence for functional diaschisis in pusher patients with cortical stroke and no evidence for the convergence of thalamic and cortical lesions onto a common functional network. Structural disconnection mapping identified posterior thalamic disconnection to temporal, pre-, post- and paracentral regions. Fibre tracking between the thalamic and cortical pusher lesion hotspots indicated that in cortical lesions of patients with pusher syndrome, it is disconnectivity to the posterior thalamus caused by accompanying white matter damage, rather than the direct cortical lesions themselves, that lead to the emergence of pusher syndrome. Our analyses thus offer the first evidence for a direct thalamo-cortical (or cortico-thalamic) interconnection and, more importantly, shed light on the location of the respective thalamo-cortical disconnections. Pusher syndrome seems to be a consequence of direct damage or of disconnection of the posterior thalamus.
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Affiliation(s)
- Hannah Rosenzopf
- Center of Neurology, Division of Neuropsychology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Julian Klingbeil
- Neuroimaging Lab, Department of Neurology, University of Leipzig, 04103 Leipzig, Germany
| | - Max Wawrzyniak
- Neuroimaging Lab, Department of Neurology, University of Leipzig, 04103 Leipzig, Germany
| | - Lisa Röhrig
- Center of Neurology, Division of Neuropsychology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Christoph Sperber
- Center of Neurology, Division of Neuropsychology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Dorothee Saur
- Neuroimaging Lab, Department of Neurology, University of Leipzig, 04103 Leipzig, Germany
| | - Hans-Otto Karnath
- Center of Neurology, Division of Neuropsychology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
- Department of Psychology, University of South Carolina, Columbia, SC 29208, USA
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20
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Hollunder B, Ostrem JL, Sahin IA, Rajamani N, Oxenford S, Butenko K, Neudorfer C, Reinhardt P, Zvarova P, Polosan M, Akram H, Vissani M, Zhang C, Sun B, Navratil P, Reich MM, Volkmann J, Yeh FC, Baldermann JC, Dembek TA, Visser-Vandewalle V, Alho EJL, Franceschini PR, Nanda P, Finke C, Kühn AA, Dougherty DD, Richardson RM, Bergman H, DeLong MR, Mazzoni A, Romito LM, Tyagi H, Zrinzo L, Joyce EM, Chabardes S, Starr PA, Li N, Horn A. Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.07.23286766. [PMID: 36945497 PMCID: PMC10029043 DOI: 10.1101/2023.03.07.23286766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Frontal circuits play a critical role in motor, cognitive, and affective processing - and their dysfunction may result in a variety of brain disorders. However, exactly which frontal domains mediate which (dys)function remains largely elusive. Here, we study 534 deep brain stimulation electrodes implanted to treat four different brain disorders. By analyzing which connections were modulated for optimal therapeutic response across these disorders, we segregate the frontal cortex into circuits that became dysfunctional in each of them. Dysfunctional circuits were topographically arranged from occipital to rostral, ranging from interconnections with sensorimotor cortices in dystonia, with the primary motor cortex in Tourette's syndrome, the supplementary motor area in Parkinson's disease, to ventromedial prefrontal and anterior cingulate cortices in obsessive-compulsive disorder. Our findings highlight the integration of deep brain stimulation with brain connectomics as a powerful tool to explore couplings between brain structure and functional impairment in the human brain.
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Affiliation(s)
- Barbara Hollunder
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jill L. Ostrem
- Movement Disorders and Neuromodulation Centre, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Ilkem Aysu Sahin
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Nanditha Rajamani
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Simón Oxenford
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Clemens Neudorfer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Pablo Reinhardt
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Zvarova
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Mircea Polosan
- Univ. Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Psychiatry Department, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Harith Akram
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Matteo Vissani
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Chencheng Zhang
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pavel Navratil
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Martin M. Reich
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Juan Carlos Baldermann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Till A. Dembek
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Pranav Nanda
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carsten Finke
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andrea A. Kühn
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Darin D. Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - R. Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hagai Bergman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
- Department of Medical Neurobiology, Institute of Medical Research Israel-Canada, The Hebrew University, Hassadah Medical School, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Mahlon R. DeLong
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy
| | - Luigi M. Romito
- Parkinson and Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Himanshu Tyagi
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Ludvic Zrinzo
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Eileen M. Joyce
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Queen Square Institute of Neurology, London, UK
| | - Stephan Chabardes
- Univ. Grenoble Alpes, Grenoble, France
- Inserm, U1216, Grenoble Institut des Neurosciences, Grenoble, France
- Department of Neurosurgery, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Philip A. Starr
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ningfei Li
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Horn
- Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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21
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Albanese A, Bhatia KP, Cardoso F, Comella C, Defazio G, Fung VSC, Hallett M, Jankovic J, Jinnah HA, Kaji R, Krauss JK, Lang A, Tan EK, Tijssen MAJ, Vidailhet M. Isolated Cervical Dystonia: Diagnosis and Classification. Mov Disord 2023; 38:1367-1378. [PMID: 36989390 PMCID: PMC10528915 DOI: 10.1002/mds.29387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/25/2023] [Accepted: 03/07/2023] [Indexed: 03/31/2023] Open
Abstract
This document presents a consensus on the diagnosis and classification of isolated cervical dystonia (iCD) with a review of proposed terminology. The International Parkinson and Movement Disorder Society Dystonia Study Group convened a panel of experts to review the main clinical and diagnostic issues related to iCD and to arrive at a consensus on diagnostic criteria and classification. These criteria are intended for use in clinical research, but also may be used to guide clinical practice. The benchmark is expert clinical observation and evaluation. The criteria aim to systematize the use of terminology as well as the diagnostic process, to make it reproducible across centers and applicable by expert and non-expert clinicians. Although motor abnormalities remain central, increasing recognition has been given to nonmotor manifestations, which are incorporated into the current criteria. Three iCD presentations are described in some detail: idiopathic (focal or segmental) iCD, genetic iCD, and acquired iCD. The relationship between iCD and isolated head tremor is also reviewed. Recognition of idiopathic iCD has two levels of certainty, definite or probable, supported by specific diagnostic criteria. Although a probable diagnosis is appropriate for clinical practice, a higher diagnostic level may be required for specific research studies. The consensus retains elements proven valuable in previous criteria and omits aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of iCD expands, these criteria will need continuous revision to accommodate new advances. © 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)
- Alberto Albanese
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL, Queen Square, Institute of Neurology, University College London, London, UK
| | - Francisco Cardoso
- Movement Disorders Unit Hospital das Clínicas, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Cynthia Comella
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Giovanni Defazio
- Department of Translational Biomedicine and Neuroscience, University of Bari, Bari, Italy
| | - Victor S C Fung
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, Australia
| | - Mark Hallett
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Hyder A Jinnah
- Departments of Neurology, Human Genetics, and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ryuji Kaji
- Department of Neurology, National Hospital Organization Utano National Hospital, Kyoto, Japan
| | - Joachim K Krauss
- Department of Neurosurgery, Medical School Hannover, Hannover, Germany
| | - Anthony Lang
- Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, Canada
| | - Eng King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, Singapore
| | - Marina A J Tijssen
- Expertise Center Movement Disorders Groningen, Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marie Vidailhet
- Department of Neurology, Sorbonne Université, Paris, France
- Institut du Cerveau et de la Moelle épinière-Inserm U1127, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
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22
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Lange F, Soares C, Roothans J, Raimundo R, Eldebakey H, Weigl B, Peach R, Daniels C, Musacchio T, Volkmann J, Rosas MJ, Reich MM. Machine versus physician-based programming of deep brain stimulation in isolated dystonia: A feasibility study. Brain Stimul 2023; 16:1105-1111. [PMID: 37422109 DOI: 10.1016/j.brs.2023.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 06/23/2023] [Accepted: 06/26/2023] [Indexed: 07/10/2023] Open
Abstract
BACKGROUND Deep brain stimulation of the internal globus pallidus effectively alleviates dystonia motor symptoms. However, delayed symptom control and a lack of therapeutic biomarkers and a single pallidal sweetspot region complicates optimal programming. Postoperative management is complex, typically requiring multiple, lengthy follow-ups with an experienced physician - an important barrier to widespread adoption in medication-refractory dystonia patients. OBJECTIVE Here we prospectively tested the best machine-predicted programming settings in a dystonia cohort treated with GPi-DBS against the settings derived from clinical long-term care in a specialised DBS centre. METHODS Previously, we reconstructed an anatomical map of motor improvement probability across the pallidal region using individual stimulation volumes and clinical outcomes in dystonia patients. We used this to develop an algorithm that tests in silico thousands of putative stimulation settings in de novo patients after reconstructing an individual, image-based anatomical model of electrode positions, and suggests stimulation parameters with the highest likelihood of optimal symptom control. To test real-life application, our prospective study compared results in 10 patients against programming settings derived from long-term care. RESULTS In this cohort, dystonia symptom reduction was observed at 74.9 ± 15.3% with C-SURF programming as compared to 66.3 ± 16.3% with clinical programming (p < 0.012). The average total electrical energy delivered (TEED) was similar for both the clinical and C-SURF programming (262.0 μJ/s vs. 306.1 μJ/s respectively). CONCLUSION Our findings highlight the clinical potential of machine-based programming in dystonia, which could markedly reduce the programming burden in postoperative management.
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Affiliation(s)
- Florian Lange
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany.
| | - Carolina Soares
- Department of Neurology, Centro Hospitalar Universitário de São João, EPE, 4200-319, Porto, Portugal; Department of Clinic Neurosciences and Mental Health, Faculty of Medicine of University of Porto, 4200-319, Porto, Portugal
| | - Jonas Roothans
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Rita Raimundo
- Department of Neurology, Centro Hospitalar Trás-os-Montes e Alto Douro, EPE, Unidade Hospitalar de Vila Real, 5000-508, Vila Real, Portugal
| | - Hazem Eldebakey
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Benedikt Weigl
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Robert Peach
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany; Department of Brain Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Christine Daniels
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Thomas Musacchio
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
| | - Maria José Rosas
- Department of Neurology, Centro Hospitalar Universitário de São João, EPE, 4200-319, Porto, Portugal
| | - Martin M Reich
- Department of Neurology, University Hospital and Julius Maximilian University, 97080, Wuerzburg, Germany
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23
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Nabizadeh F, Aarabi MH. Functional and structural lesion network mapping in neurological and psychiatric disorders: a systematic review. Front Neurol 2023; 14:1100067. [PMID: 37456650 PMCID: PMC10349201 DOI: 10.3389/fneur.2023.1100067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Background The traditional approach to studying the neurobiological mechanisms of brain disorders and localizing brain function involves identifying brain abnormalities and comparing them to matched controls. This method has been instrumental in clinical neurology, providing insight into the functional roles of different brain regions. However, it becomes challenging when lesions in diverse regions produce similar symptoms. To address this, researchers have begun mapping brain lesions to functional or structural networks, a process known as lesion network mapping (LNM). This approach seeks to identify common brain circuits associated with lesions in various areas. In this review, we focus on recent studies that have utilized LNM to map neurological and psychiatric symptoms, shedding light on how this method enhances our understanding of brain network functions. Methods We conducted a systematic search of four databases: PubMed, Scopus, and Web of Science, using the term "Lesion network mapping." Our focus was on observational studies that applied lesion network mapping in the context of neurological and psychiatric disorders. Results Following our screening process, we included 52 studies, comprising a total of 6,814 subjects, in our systematic review. These studies, which utilized functional connectivity, revealed several regions and network overlaps across various movement and psychiatric disorders. For instance, the cerebellum was found to be part of a common network for conditions such as essential tremor relief, parkinsonism, Holmes tremor, freezing of gait, cervical dystonia, infantile spasms, and tics. Additionally, the thalamus was identified as part of a common network for essential tremor relief, Holmes tremor, and executive function deficits. The dorsal attention network was significantly associated with fall risk in elderly individuals and parkinsonism. Conclusion LNM has proven to be a powerful tool in localizing a broad range of neuropsychiatric, behavioral, and movement disorders. It holds promise in identifying new treatment targets through symptom mapping. Nonetheless, the validity of these approaches should be confirmed by more comprehensive prospective studies.
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Affiliation(s)
- Fardin Nabizadeh
- Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padua, Italy
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24
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Tsagkaris S, Yau EKC, McClelland V, Papandreou A, Siddiqui A, Lumsden DE, Kaminska M, Guedj E, Hammers A, Lin JP. Metabolic patterns in brain 18F-fluorodeoxyglucose PET relate to aetiology in paediatric dystonia. Brain 2023; 146:2512-2523. [PMID: 36445406 PMCID: PMC10232264 DOI: 10.1093/brain/awac439] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/24/2022] [Accepted: 11/08/2022] [Indexed: 12/09/2023] Open
Abstract
There is a lack of imaging markers revealing the functional characteristics of different brain regions in paediatric dystonia. In this observational study, we assessed the utility of [18F]2-fluoro-2-deoxy-D-glucose (FDG)-PET in understanding dystonia pathophysiology by revealing specific resting awake brain glucose metabolism patterns in different childhood dystonia subgroups. PET scans from 267 children with dystonia being evaluated for possible deep brain stimulation surgery between September 2007 and February 2018 at Evelina London Children's Hospital (ELCH), UK, were examined. Scans without gross anatomical abnormality (e.g. large cysts, significant ventriculomegaly; n = 240) were analysed with Statistical Parametric Mapping (SPM12). Glucose metabolism patterns were examined in the 144/240 (60%) cases with the 10 commonest childhood-onset dystonias, focusing on nine anatomical regions. A group of 39 adult controls was used for comparisons. The genetic dystonias were associated with the following genes: TOR1A, THAP1, SGCE, KMT2B, HPRT1 (Lesch Nyhan disease), PANK2 and GCDH (Glutaric Aciduria type 1). The acquired cerebral palsy (CP) cases were divided into those related to prematurity (CP-Preterm), neonatal jaundice/kernicterus (CP-Kernicterus) and hypoxic-ischaemic encephalopathy (CP-Term). Each dystonia subgroup had distinct patterns of altered FDG-PET uptake. Focal glucose hypometabolism of the pallidi, putamina or both, was the commonest finding, except in PANK2, where basal ganglia metabolism appeared normal. HPRT1 uniquely showed glucose hypometabolism across all nine cerebral regions. Temporal lobe glucose hypometabolism was found in KMT2B, HPRT1 and CP-Kernicterus. Frontal lobe hypometabolism was found in SGCE, HPRT1 and PANK2. Thalamic and brainstem hypometabolism were seen only in HPRT1, CP-Preterm and CP-term dystonia cases. The combination of frontal and parietal lobe hypermetabolism was uniquely found in CP-term cases. PANK2 cases showed a distinct combination of parietal hypermetabolism with cerebellar hypometabolism but intact putaminal-pallidal glucose metabolism. HPRT1, PANK2, CP-kernicterus and CP-preterm cases had cerebellar and insula glucose hypometabolism as well as parietal glucose hypermetabolism. The study findings offer insights into the pathophysiology of dystonia and support the network theory for dystonia pathogenesis. 'Signature' patterns for each dystonia subgroup could be a useful biomarker to guide differential diagnosis and inform personalized management strategies.
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Affiliation(s)
- Stavros Tsagkaris
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
- King’s College London & Guy’s and St Thomas’ PET Centre, Division of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Eric K C Yau
- Department of Paediatrics & Adolescent Medicine, Princess Margaret Hospital, Kowloon, Hong Kong
| | - Verity McClelland
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
| | - Apostolos Papandreou
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
- Developmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London WC1N 1DZ, UK
| | - Ata Siddiqui
- Neuroradiology Department, Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
| | - Daniel E Lumsden
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
- Perinatal Imaging, Division of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Margaret Kaminska
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
| | - Eric Guedj
- CERIMED, Nuclear Medicine Department, Aix Marseille Universite, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, 13397 Marseille, France
| | - Alexander Hammers
- King’s College London & Guy’s and St Thomas’ PET Centre, Division of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Jean-Pierre Lin
- Children’s Neurosciences, Complex Motor Disorders Service (CMDS), Evelina London Children's Hospital, Guy's and St Thomas’ NHS Foundation Trust (GSTT), London SE1 7EH, UK
- Women and Children’s Health Institute Faculty of Life Sciences & Medicine, Kings Health Partners, King’s College London, London SE1 7EH, UK
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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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26
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Matar E, Bhatia K. Dystonia and Parkinson's disease: Do they have a shared biology? INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:347-411. [PMID: 37482398 DOI: 10.1016/bs.irn.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Parkinsonism and dystonia co-occur across many movement disorders and are most encountered in the setting of Parkinson's disease. Here we aim to explore the shared neurobiological underpinnings of dystonia and parkinsonism through the clinical lens of the conditions in which these movement disorders can be seen together. Foregrounding the discussion, we briefly review the circuits of the motor system and the neuroanatomical and neurophysiological aspects of motor control and highlight their relevance to the proposed pathophysiology of parkinsonism and dystonia. Insight into shared biology is then sought from dystonia occurring in PD and other forms of parkinsonism including those disorders in which both can be co-expressed simultaneously. We organize these within a biological schema along with important questions to be addressed in this space.
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Affiliation(s)
- Elie Matar
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, Queen Square, London, United Kingdom; Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
| | - Kailash Bhatia
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, Queen Square, London, United Kingdom
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27
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Sondergaard RE, Strzalkowski NDJ, Gan LS, Jasaui Y, Furtado S, Pringsheim TM, Sarna JR, Avanzino L, Kiss ZHT, Martino D. Cerebellar Brain Inhibition Is Associated With the Severity of Cervical Dystonia. J Clin Neurophysiol 2023; 40:293-300. [PMID: 34334683 DOI: 10.1097/wnp.0000000000000884] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Cerebellar connectivity is thought to be abnormal in cervical dystonia (CD) and other dystonia subtypes, based on evidence from imaging studies and animal work. The authors investigated whether transcranial magnetic stimulation-induced cerebellar brain inhibition (CBI), a measure of cerebellar efficiency at inhibiting motor outflow, is abnormal in patients with CD and/or is associated with clinical features of CD. Because of methodological heterogeneity in CBI reporting, the authors deployed additional controls to reduce potential sources of variability in this study. METHODS Cerebellar brain inhibition was applied in 20 CD patients and 14 healthy control subjects. Cerebellar brain inhibition consisted of a cerebellar conditioning stimulus delivered at four different interstimulus intervals (ISIs) before a test stimulus delivered to hand muscle representation in the motor cortex. The average ratio of conditioned to unconditioned motor evoked potential was computed for each ISI. Cervical dystonia clinical severity was measured using the Toronto Western Spasmodic Torticollis Rating Scale. Control experiments involved neuronavigated transcranial magnetic stimulation, neck postural control in patients, and careful screening for noncerebellar pathway inhibition via cervicomedullary evoked potentials. RESULTS There was no difference between CBI measured in healthy control subjects and CD patients at any of the four ISIs; however, CBI efficiency was significantly correlated with worsening CD clinical severity at the 5 ms ISI. CONCLUSIONS Cerebellar brain inhibition is a variable measure in both healthy control subjects and CD patients; much of this variability may be attributed to experimental methodology. Yet, CD severity is significantly associated with reduced CBI at the 5 ms ISI, suggestive of cerebello-thalamo-cortical tract dysfunction in this disorder.
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Affiliation(s)
- Rachel E Sondergaard
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Nicholas D J Strzalkowski
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
- Department of Biology, Faculty of Science and Technology, Mount Royal University, Calgary, AB, Canada
| | - Liu Shi Gan
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Yamile Jasaui
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sarah Furtado
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Tamara M Pringsheim
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
- Department of Psychiatry, Pediatrics and Community Healthy Sciences, University of Calgary, Calgary, AB, Canada
| | - Justyna R Sarna
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Laura Avanzino
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy; and
- IRCCS Policlinico, San Martino, Genova
| | - Zelma H T Kiss
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Davide Martino
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
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Corp DT, Morrison-Ham J, Jinnah HA, Joutsa J. The functional anatomy of dystonia: Recent developments. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:105-136. [PMID: 37482390 DOI: 10.1016/bs.irn.2023.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
While dystonia has traditionally been viewed as a disorder of the basal ganglia, the involvement of other key brain structures is now accepted. However, just what these structures are remains to be defined. Neuroimaging has been an especially valuable tool in dystonia, yet traditional cross-sectional designs have not been able to separate causal from compensatory brain activity. Therefore, this chapter discusses recent studies using causal brain lesions, and animal models, to converge upon the brain regions responsible for dystonia with increasing precision. This evidence strongly implicates the basal ganglia, thalamus, brainstem, cerebellum, and somatosensory cortex, yet shows that different types of dystonia involve different nodes of this brain network. Nearly all of these nodes fall within the recently identified two-way networks connecting the basal ganglia and cerebellum, suggesting dysfunction of these specific pathways. Localisation of the functional anatomy of dystonia has strong implications for targeted treatment options, such as deep brain stimulation, and non-invasive brain stimulation.
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Affiliation(s)
- Daniel T Corp
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, United States.
| | - Jordan Morrison-Ham
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - H A Jinnah
- Departments of Neurology, Human Genetics, and Pediatrics, Atlanta, GA, United States
| | - Juho Joutsa
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, United States; Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku, Finland; Turku PET Centre, Neurocenter, Turku University Hospital, Turku, Finland
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Jinnah HA, DeFazio G. Adult-onset focal dystonias: To lump or split. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:317-327. [PMID: 37482396 DOI: 10.1016/bs.irn.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
The adult-onset focal dystonias are a group of clinically heterogeneous disorders that affect different regions of the body. Although they affect different regions with different clinical manifestations, there is evidence that etiopathogenesis is shared at the anatomical, physiological, and genetic levels. However, there is also evidence that etiopathogenesis varies. This chapter summarizes the evidence for lumping or splitting these apparently different clinical phenotypes. It also includes some potential explanations to explain the similarities and differences.
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Affiliation(s)
- H A Jinnah
- Departments of Neurology, Human Genetics, and Pediatrics, Atlanta, GA, United States.
| | - Giovanni DeFazio
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Zouki JJ, Ellis EG, Morrison-Ham J, Thomson P, Jesuthasan A, Al-Fatly B, Joutsa J, Silk TJ, Corp DT. Mapping a network for tics in Tourette syndrome using causal lesions and structural alterations. Brain Commun 2023; 5:fcad105. [PMID: 37215485 PMCID: PMC10198704 DOI: 10.1093/braincomms/fcad105] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/29/2023] [Accepted: 04/02/2023] [Indexed: 05/24/2023] Open
Abstract
Tics are sudden stereotyped movements or vocalizations. Cases of lesion-induced tics are invaluable, allowing for causal links between symptoms and brain structures. While a lesion network for tics has recently been identified, the degree to which this network translates to Tourette syndrome has not been fully elucidated. This is important given that patients with Tourette syndrome make up a large portion of tic cases; therefore, existing and future treatments should apply to these patients. The aim of this study was to first localize a causal network for tics from lesion-induced cases and then refine and validate this network in patients with Tourette syndrome. We independently performed 'lesion network mapping' using a large normative functional connectome (n = 1000) to isolate a brain network commonly connected to lesions causing tics (n = 19) identified through a systematic search. The specificity of this network to tics was assessed through comparison to lesions causing other movement disorders. Using structural brain coordinates from prior neuroimaging studies (n = 7), we then derived a neural network for Tourette syndrome. This was done using standard anatomical likelihood estimation meta-analysis and a novel method termed 'coordinate network mapping', which uses the same coordinates, yet maps their connectivity using the aforementioned functional connectome. Conjunction analysis was used to refine the network for lesion-induced tics to Tourette syndrome by identifying regions common to both lesion and structural networks. We then tested whether connectivity from this common network is abnormal in a separate resting-state functional connectivity MRI data set from idiopathic Tourette syndrome patients (n = 21) and healthy controls (n = 25). Results showed that lesions causing tics were distributed throughout the brain; however, consistent with a recent study, these were part of a common network with predominant basal ganglia connectivity. Using conjunction analysis, coordinate network mapping findings refined the lesion network to the posterior putamen, caudate nucleus, globus pallidus externus (positive connectivity) and precuneus (negative connectivity). Functional connectivity from this positive network to frontal and cingulate regions was abnormal in patients with idiopathic Tourette syndrome. These findings identify a network derived from lesion-induced and idiopathic data, providing insight into the pathophysiology of tics in Tourette syndrome. Connectivity to our cortical cluster in the precuneus offers an exciting opportunity for non-invasive brain stimulation protocols.
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Affiliation(s)
- Jade-Jocelyne Zouki
- Correspondence to: Jade-Jocelyne Zouki Cognitive Neuroscience Unit School of Psychology, Deakin University 221 Burwood Hwy, Burwood, VIC 3125, Australia E-mail:
| | - Elizabeth G Ellis
- Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong VIC 3220, Australia
| | - Jordan Morrison-Ham
- Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong VIC 3220, Australia
| | - Phoebe Thomson
- Department of Paediatrics, The University of Melbourne, Melbourne VIC 3010, Australia
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne VIC 3052, Australia
- Autism Center, Child Mind Institute, New York NY 10022, USA
| | - Aaron Jesuthasan
- Neurology Department, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London W6 8RF, UK
| | - Bassam Al-Fatly
- Department of Neurology with Experimental Neurology, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku, FI-20014, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, Turku, FI-20520, Finland
| | | | - Daniel T Corp
- Correspondence may also be addressed to: Daniel T. Corp E-mail:
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Baizabal-Carvallo JF, Jankovic J. Secondary dystonia following parenchymal brain tumors. J Neurol Sci 2023; 446:120577. [PMID: 36738494 DOI: 10.1016/j.jns.2023.120577] [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: 10/09/2022] [Revised: 12/20/2022] [Accepted: 01/27/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND Secondary dystonia has been associated with diverse etiologies. Dystonia associated with brain tumors has not been well characterized. OBJECTIVES To characterize dystonia and relationship with parenchymal brain tumors. METHODS We present six patients (1.03%) with dystonia related to parenchymal brain tumors, among 580 screened cases. RESULTS Contralateral hemidystonia was observed in four cases, followed by focal limb (n = 1) and cervical dystonia (n = 1). Dystonia presented during the phase of tumor growth in four cases, and following tumor treatment in two, one case had re-emergent dystonia. Tumors were low-grade (WHO I or II) and located in the basal ganglia (n = 3), cortical areas (n = 2), thalamus (n = 1) and cerebral peduncle (n = 1). CONCLUSIONS Secondary dystonia may be caused by brain tumors in diverse locations including basal ganglia, cortex and thalamus. It may be the presenting symptom of brain tumor or follow surgical resection combined with ancillary therapy.
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Affiliation(s)
- José Fidel Baizabal-Carvallo
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA; Department of Sciences and Engineering, University of Guanajuato, León, Mexico.
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
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Yuan T, Zuo Z, Xu J. Neuroanatomical Localization of Rapid Eye Movement Sleep Behavior Disorder in Human Brain Using Lesion Network Mapping. Korean J Radiol 2023; 24:247-258. [PMID: 36788772 PMCID: PMC9971834 DOI: 10.3348/kjr.2022.0712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/18/2022] [Accepted: 01/08/2023] [Indexed: 02/16/2023] Open
Abstract
OBJECTIVE To localize the neuroanatomical substrate of rapid eye movement sleep behavior disorder (RBD) and to investigate the neuroanatomical locational relationship between RBD and α-synucleinopathy neurodegenerative diseases. MATERIALS AND METHODS Using a systematic PubMed search, we identified 19 patients with lesions in different brain regions that caused RBD. First, lesion network mapping was applied to confirm whether the lesion locations causing RBD corresponded to a common brain network. Second, the literature-based RBD lesion network map was validated using neuroimaging findings and locations of brain pathologies at post-mortem in patients with idiopathic RBD (iRBD) who were identified by independent systematic literature search using PubMed. Finally, we assessed the locational relationship between the sites of pathological alterations at the preclinical stage in α-synucleinopathy neurodegenerative diseases and the brain network for RBD. RESULTS The lesion network mapping showed lesions causing RBD to be localized to a common brain network defined by connectivity to the pons (including the locus coeruleus, dorsal raphe nucleus, central superior nucleus, and ventrolateral periaqueductal gray), regardless of the lesion location. The positive regions in the pons were replicated by the neuroimaging findings in an independent group of patients with iRBD and it coincided with the reported pathological alterations at post-mortem in patients with iRBD. Furthermore, all brain pathological sites at preclinical stages (Braak stages 1-2) in Parkinson's disease (PD) and at brainstem Lewy body disease in dementia with Lewy bodies (DLB) were involved in the brain network identified for RBD. CONCLUSION The brain network defined by connectivity to positive pons regions might be the regulatory network loop inducing RBD in humans. In addition, our results suggested that the underlying cause of high phenoconversion rate from iRBD to neurodegenerative α-synucleinopathy might be pathological changes in the preclinical stage of α-synucleinopathy located at the regulatory network loop of RBD.
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Affiliation(s)
- Taoyang Yuan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
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33
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Leon LES, Sillitoe RV. Disrupted sleep in dystonia depends on cerebellar function but not motor symptoms in mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.09.527916. [PMID: 36798256 PMCID: PMC9934608 DOI: 10.1101/2023.02.09.527916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Although dystonia is the third most common movement disorder, patients often also experience debilitating nonmotor defects including impaired sleep. The cerebellum is a central component of a "dystonia network" that plays various roles in sleep regulation. Importantly, the primary driver of sleep impairments in dystonia remains poorly understood. The cerebellum, along with other nodes in the motor circuit, could disrupt sleep. However, it is unclear how the cerebellum might alter sleep and mobility. To disentangle the impact of cerebellar dysfunction on motion and sleep, we generated two mouse genetic models of dystonia that have overlapping cerebellar circuit miswiring but show differing motor phenotype severity: Ptf1a Cre ;Vglut2 fx/fx and Pdx1 Cre ;Vglut2 fx/fx mice. In both models, excitatory climbing fiber to Purkinje cell neurotransmission is blocked, but only the Ptf1a Cre ;Vglut2 fx/fx mice have severe twisting. Using in vivo ECoG and EMG recordings we found that both mutants spend greater time awake and in NREM sleep at the expense of REM sleep. The increase in awake time is driven by longer awake bouts rather than an increase in bout number. We also found a longer latency to reach REM in both mutants, which is similar to what is reported in human dystonia. We uncovered independent but parallel roles for cerebellar circuit dysfunction and motor defects in promoting sleep quality versus posture impairments in dystonia.
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de A Marcelino AL, Gray O, Al-Fatly B, Gilmour W, Douglas Steele J, Kühn AA, Gilbertson T. Pallidal neuromodulation of the explore/exploit trade-off in decision-making. eLife 2023; 12:79642. [PMID: 36727860 PMCID: PMC9940911 DOI: 10.7554/elife.79642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 02/01/2023] [Indexed: 02/03/2023] Open
Abstract
Every decision that we make involves a conflict between exploiting our current knowledge of an action's value or exploring alternative courses of action that might lead to a better, or worse outcome. The sub-cortical nuclei that make up the basal ganglia have been proposed as a neural circuit that may contribute to resolving this explore-exploit 'dilemma'. To test this hypothesis, we examined the effects of neuromodulating the basal ganglia's output nucleus, the globus pallidus interna, in patients who had undergone deep brain stimulation (DBS) for isolated dystonia. Neuromodulation enhanced the number of exploratory choices to the lower value option in a two-armed bandit probabilistic reversal-learning task. Enhanced exploration was explained by a reduction in the rate of evidence accumulation (drift rate) in a reinforcement learning drift diffusion model. We estimated the functional connectivity profile between the stimulating DBS electrode and the rest of the brain using a normative functional connectome derived from heathy controls. Variation in the extent of neuromodulation induced exploration between patients was associated with functional connectivity from the stimulation electrode site to a distributed brain functional network. We conclude that the basal ganglia's output nucleus, the globus pallidus interna, can adaptively modify decision choice when faced with the dilemma to explore or exploit.
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Affiliation(s)
- Ana Luisa de A Marcelino
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus MitteBerlinGermany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Facility GenomicsBerlinGermany
| | - Owen Gray
- Division of Imaging Science and Technology, Medical School, University of DundeeDundeeUnited Kingdom
| | - Bassam Al-Fatly
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus MitteBerlinGermany
| | - William Gilmour
- Division of Imaging Science and Technology, Medical School, University of DundeeDundeeUnited Kingdom
| | - J Douglas Steele
- Division of Imaging Science and Technology, Medical School, University of DundeeDundeeUnited Kingdom
| | - Andrea A Kühn
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus MitteBerlinGermany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Facility GenomicsBerlinGermany
- Berlin School of Mind and Brain, Charité - University Medicine BerlinBerlinGermany
- NeuroCure, Charité - University Medicine BerlinBerlinGermany
- DZNE, German Centre for Degenerative DiseasesBerlinGermany
| | - Tom Gilbertson
- Division of Imaging Science and Technology, Medical School, University of DundeeDundeeUnited Kingdom
- Department of Neurology, Ninewells Hospital & Medical SchoolDundeeUnited Kingdom
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35
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Zhao SZ, Zhao YX, Liao XH, Huo R, Li H, Jiao YM, Weng JC, Wang J, Liu B, Cao Y. Unruptured brain arteriovenous malformations causing seizures localize to one common brain network. J Neurosci Res 2023; 101:245-255. [PMID: 36345215 PMCID: PMC10100023 DOI: 10.1002/jnr.25142] [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: 05/29/2022] [Revised: 10/16/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022]
Abstract
Seizures are a frequent symptom of unruptured brain arteriovenous malformations (bAVMs). However, the brain regions responsible for these seizures remain unclear. To identify the brain regions causally involved in bAVM-related seizures, we retrospectively reviewed 220 patients with unruptured bAVMs. Using voxel-based lesion-symptom mapping (VLSM) analyses, we tested whether individual brain regions were associated with unruptured bAVM-related seizures. The result revealed that unruptured bAVMs causing seizures are anatomically heterogeneous at the voxel level. Subsequently, lesion network mapping (LNM) analyses was performed to determine whether bAVMs causing seizures belonged to a distributed brain network. LNM analyses indicated that these lesions were located in a functional network characterized by connectivity to the left caudate and precuneus. Moreover, the discrimination performance of the identified seizure network was evaluated in discovery set by calculating the individualized network damage score and was tested in validation set. Based on the calculated network damage scores, patients were divided into low-, medium-, and high-risk groups. The prevalence of seizures significantly differed among the three risk categories in both discovery (p = .003) and validation set (p = .004). Finally, we calculated the percentage of voxels in the canonical resting-state networks that overlapped with the seizure-susceptible brain regions to investigate the involvement of resting-state networks. With an involvement percentage over 50%, the frontoparietal control (82.9%), limbic function (76.7%), and default mode network (69.3%) were considered to be impacted in bAVM-related seizures. Our study identified the seizure-susceptible brain regions for unruptured bAVMs, which could be a plausible neuroimaging biomarker in predicting possible seizures.
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Affiliation(s)
- Shao-Zhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yu-Xin Zhao
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xiao-Hua Liao
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yu-Ming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jian-Cong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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36
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Kilic-Berkmen G, Scorr LM, Rosen A, Wu E, Freeman A, Silver M, Hanfelt J, Jinnah HA. Thyroid disease in cervical dystonia. Parkinsonism Relat Disord 2023; 107:105274. [PMID: 36621155 PMCID: PMC10257803 DOI: 10.1016/j.parkreldis.2022.105274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/04/2022] [Accepted: 12/29/2022] [Indexed: 01/01/2023]
Abstract
There are many possible etiologies for cervical dystonia (CD), but a cause cannot be identified in most cases. Most recent attention has focused on genetic causes, although a few prior studies have highlighted autoimmune mechanisms instead. Because autoimmune disorders frequently co-exist, the current study evaluated the hypothesis that autoimmune disorders might be more common in CD than neurological controls. The frequency of 32 common autoimmune disorders was evaluated using a systematic survey comparing 300 subjects with CD with 391 neurological controls. The frequency of thyroid disease was significantly higher in CD (20%) compared with controls (6%). Regression analyses that accounted for age and sex revealed an odds ratio of 4.5 (95% CI 2.5-8.1, p < 0.001). All other autoimmune disorders occurred with similar frequencies in CD and controls. Although these studies do not establish a mechanistic link between CD and autoimmune disease, they suggest the need for further attention to a potential relationship, and more specifically with thyroid disease.
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Affiliation(s)
- Gamze Kilic-Berkmen
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Laura M Scorr
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Ami Rosen
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Ellen Wu
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Alan Freeman
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Michael Silver
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - John Hanfelt
- Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, 30322, USA
| | - H A Jinnah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
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37
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Ji GJ, Zalesky A, Wang Y, He K, Wang L, Du R, Sun J, Bai T, Chen X, Tian Y, Zhu C, Wang K. Linking Personalized Brain Atrophy to Schizophrenia Network and Treatment Response. Schizophr Bull 2023; 49:43-52. [PMID: 36318234 PMCID: PMC9810021 DOI: 10.1093/schbul/sbac162] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia manifests with marked heterogeneity in both clinical presentation and underlying biology. Modeling individual differences within clinical cohorts is critical to translate knowledge reliably into clinical practice. We hypothesized that individualized brain atrophy in patients with schizophrenia may explain the heterogeneous outcomes of repetitive transcranial magnetic stimulation (rTMS). STUDY DESIGN The magnetic resonance imaging (MRI) data of 797 healthy subjects and 91 schizophrenia patients (between January 1, 2015, and December 31, 2020) were retrospectively selected from our hospital database. The healthy subjects were used to establish normative reference ranges for cortical thickness as a function of age and sex. Then, a schizophrenia patient's personalized atrophy map was computed as vertex-wise deviations from the normative model. Each patient's atrophy network was mapped using resting-state functional connectivity MRI from a subgroup of healthy subjects (n = 652). In total 52 of the 91 schizophrenia patients received rTMS in a randomized clinical trial (RCT). Their longitudinal symptom changes were adopted to test the clinical utility of the personalized atrophy map. RESULTS The personalized atrophy maps were highly heterogeneous across patients, but functionally converged to a putative schizophrenia network that comprised regions implicated by previous group-level findings. More importantly, retrospective analysis of rTMS-RCT data indicated that functional connectivity of the personalized atrophy maps with rTMS targets was significantly associated with the symptom outcomes of schizophrenia patients. CONCLUSIONS Normative modeling can aid in mapping the personalized atrophy network associated with treatment outcomes of patients with schizophrenia.
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Affiliation(s)
- Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
- Anhui Institute of Translational Medicine, Hefei, 230032, China
| | - Andrew Zalesky
- Departments of Psychiatry and Biomedical Engineering, Melbourne Neuropsychiatry Centre, The University of Melbourne, Victoria, 3010, Australia
| | - Yingru Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Kongliang He
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
- Anhui Institute of Translational Medicine, Hefei, 230032, China
- Department of Psychiatry, Anhui Mental Health Center, Hefei, 230022, China
| | - Lu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Rongrong Du
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Xingui Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
- Anhui Institute of Translational Medicine, Hefei, 230032, China
| | - Chunyan Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
- Anhui Institute of Translational Medicine, Hefei, 230032, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, 230032, China
- Anhui Institute of Translational Medicine, Hefei, 230032, China
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38
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Frey J, Ramirez-Zamora A, Wagle Shukla A. Applications of Transcranial Magnetic Stimulation for Understanding and Treating Dystonia. ADVANCES IN NEUROBIOLOGY 2023; 31:119-139. [PMID: 37338699 DOI: 10.1007/978-3-031-26220-3_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Transcranial magnetic stimulation (TMS)-based studies have led to an advanced understanding of the pathophysiology of dystonia. This narrative review summarizes the TMS data contributed to the literature so far. Many studies have shown that increased motor cortex excitability, excessive sensorimotor plasticity, and abnormal sensorimotor integration are the core pathophysiological substrates for dystonia. However, an increasing body of evidence supports a more widespread network dysfunction involving many other brain regions. Repetitive TMS pulses (rTMS) in dystonia have therapeutic potential as they can induce local and network-wide effects through modulation of excitability and plasticity. The bulk of rTMS studies has targeted the premotor cortex with some promising results in focal hand dystonia. Some studies have targeted the cerebellum for cervical dystonia and the anterior cingulate cortex for blepharospasm. We believe that therapeutic potential could be leveraged better when rTMS is implemented in conjunction with standard-of-care pharmacological treatments. However, due to several limitations in the studies conducted to date, including small samples, heterogeneous populations, variability in the target sites, and inconsistencies in the study design and control arm, it is hard to draw a definite conclusion. Further studies are warranted to determine optimal targets and protocols yielding the most beneficial outcomes that will translate into meaningful clinical changes.
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Affiliation(s)
- Jessica Frey
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Adolfo Ramirez-Zamora
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Aparna Wagle Shukla
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
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McClelland VM, Lin JP. Dystonia in Childhood: How Insights from Paediatric Research Enrich the Network Theory of Dystonia. ADVANCES IN NEUROBIOLOGY 2023; 31:1-22. [PMID: 37338693 DOI: 10.1007/978-3-031-26220-3_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Dystonia is now widely accepted as a network disorder, with multiple brain regions and their interconnections playing a potential role in the pathophysiology. This model reconciles what could previously have been viewed as conflicting findings regarding the neuroanatomical and neurophysiological characteristics of the disorder, but there are still significant gaps in scientific understanding of the underlying pathophysiology. One of the greatest unmet challenges is to understand the network model of dystonia in the context of the developing brain. This article outlines how research in childhood dystonia supports and contributes to the network theory and highlights aspects where data from paediatric studies has revealed novel and unique physiological insights, with important implications for understanding dystonia across the lifespan.
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Affiliation(s)
- Verity M McClelland
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Children's Neurosciences Department, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK.
| | - Jean-Pierre Lin
- Children's Neurosciences Department, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Women and Children's Institute, Faculty of Life Sciences and Medicine (FolSM), King's College London, London, UK
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40
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Marapin RS, van der Horn HJ, van der Stouwe AMM, Dalenberg JR, de Jong BM, Tijssen MAJ. Altered brain connectivity in hyperkinetic movement disorders: A review of resting-state fMRI. Neuroimage Clin 2023; 37:103302. [PMID: 36669351 PMCID: PMC9868884 DOI: 10.1016/j.nicl.2022.103302] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Hyperkinetic movement disorders (HMD) manifest as abnormal and uncontrollable movements. Despite reported involvement of several neural circuits, exact connectivity profiles remain elusive. OBJECTIVES Providing a comprehensive literature review of resting-state brain connectivity alterations using resting-state fMRI (rs-fMRI). We additionally discuss alterations from the perspective of brain networks, as well as correlations between connectivity and clinical measures. METHODS A systematic review was performed according to PRISMA guidelines and searching PubMed until October 2022. Rs-fMRI studies addressing ataxia, chorea, dystonia, myoclonus, tics, tremor, and functional movement disorders (FMD) were included. The standardized mean difference was used to summarize findings per region in the Automated Anatomical Labeling atlas for each phenotype. Furthermore, the activation likelihood estimation meta-analytic method was used to analyze convergence of significant between-group differences per phenotype. Finally, we conducted hierarchical cluster analysis to provide additional insights into commonalities and differences across HMD phenotypes. RESULTS Most articles concerned tremor (51), followed by dystonia (46), tics (19), chorea (12), myoclonus (11), FMD (11), and ataxia (8). Altered resting-state connectivity was found in several brain regions: in ataxia mainly cerebellar areas; for chorea, the caudate nucleus; for dystonia, sensorimotor and basal ganglia regions; for myoclonus, the thalamus and cingulate cortex; in tics, the basal ganglia, cerebellum, insula, and frontal cortex; for tremor, the cerebello-thalamo-cortical circuit; finally, in FMD, frontal, parietal, and cerebellar regions. Both decreased and increased connectivity were found for all HMD. Significant spatial convergence was found for dystonia, FMD, myoclonus, and tremor. Correlations between clinical measures and resting-state connectivity were frequently described. CONCLUSION Key brain regions contributing to functional connectivity changes across HMD often overlap. Possible increases and decreases of functional connections of a specific region emphasize that HMD should be viewed as a network disorder. Despite the complex interplay of physiological and methodological factors, this review serves to gain insight in brain connectivity profiles across HMD phenotypes.
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Affiliation(s)
- Ramesh S Marapin
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Harm J van der Horn
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - A M Madelein van der Stouwe
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Jelle R Dalenberg
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Bauke M de Jong
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - Marina A J Tijssen
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands.
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Multimodal and multidomain lesion network mapping enhances prediction of sensorimotor behavior in stroke patients. Sci Rep 2022; 12:22400. [PMID: 36575263 PMCID: PMC9794717 DOI: 10.1038/s41598-022-26945-x] [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: 05/10/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Beyond the characteristics of a brain lesion, such as its etiology, size or location, lesion network mapping (LNM) has shown that similar symptoms after a lesion reflects similar dis-connectivity patterns, thereby linking symptoms to brain networks. Here, we extend LNM by using a multimodal strategy, combining functional and structural networks from 1000 healthy participants in the Human Connectome Project. We apply multimodal LNM to a cohort of 54 stroke patients with the aim of predicting sensorimotor behavior, as assessed through a combination of motor and sensory tests. Results are two-fold. First, multimodal LNM reveals that the functional modality contributes more than the structural one in the prediction of sensorimotor behavior. Second, when looking at each modality individually, the performance of the structural networks strongly depended on whether sensorimotor performance was corrected for lesion size, thereby eliminating the effect that larger lesions generally produce more severe sensorimotor impairment. In contrast, functional networks provided similar performance regardless of whether or not the effect of lesion size was removed. Overall, these results support the extension of LNM to its multimodal form, highlighting the synergistic and additive nature of different types of network modalities, and their corresponding influence on behavioral performance after brain injury.
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Horisawa S, Kawamata T, Taira T. Seven-year resolution of cervical dystonia after unilateral pallidotomy: A case report. Surg Neurol Int 2022; 13:586. [PMID: 36600748 PMCID: PMC9805625 DOI: 10.25259/sni_840_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/26/2022] [Indexed: 12/24/2022] Open
Abstract
Background Reports on the long-term effects of pallidotomy for cervical dystonia remain scarce. Case Description We report a case of cervical dystonia successfully treated by unilateral pallidotomy. The patient was a 29-year-old man without past medical and family history of cervical dystonia. At the age of 28 years, neck rotation to the right with right shoulder elevation developed and gradually became worse. After symptoms failed to respond to repetitive botulinum toxin injections and oral medications, he underwent left pallidotomy, which resulted in significant improvement of cervical dystonia and shoulder elevation without surgical complications. At the 3-month evaluation, the symptoms completely improved. The Toronto Western Spasmodic Torticollis Rating Scale score dramatically improved from 39 points before surgery to 0 points at 7-year postoperative evaluation. Conclusion This case suggests that unilateral pallidotomy can be an alternative treatment option for cervical dystonia.
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Affiliation(s)
- Shiro Horisawa
- Corresponding author: Shiro Horisawa, Department of Neurosurgery, Tokyo Women’s Medical University, Tokyo, Japan.
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43
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Morrison-Ham J, Clark GM, Ellis EG, Cerins A, Joutsa J, Enticott PG, Corp DT. Effects of non-invasive brain stimulation in dystonia: a systematic review and meta-analysis. Ther Adv Neurol Disord 2022; 15:17562864221138144. [PMID: 36583118 PMCID: PMC9793065 DOI: 10.1177/17562864221138144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 10/21/2022] [Indexed: 12/24/2022] Open
Abstract
Background Deep brain stimulation is a highly effective treatment of dystonia but is invasive and associated with risks, such as intraoperative bleeding and infections. Previous research has used non-invasive brain stimulation (NIBS) in an attempt to alleviate symptoms of dystonia. The results of these studies, however, have been variable, leaving efficacy unclear. Objectives This study aimed to evaluate the effects of NIBS on symptoms of dystonia and determine whether methodological characteristics are associated with variability in effect size. Methods Web of Science, Embase, and MEDLINE Complete databases were searched for articles using any type of NIBS as an intervention in dystonia patients, with changes in dystonia symptoms the primary outcome of interest. Results Meta-analysis of 27 studies demonstrated a small effect size for NIBS in reducing symptoms of dystonia (random-effects Hedges' g = 0.21, p = .002). Differences in the type of NIBS, type of dystonia, and brain region stimulated had a significant effect on dystonia symptoms. Meta-regression revealed that 10 sessions of active stimulation and the application of concurrent motor training programs resulted in significantly larger mean effect sizes. Conclusion NIBS has yielded small improvements to dystonic symptoms, but effect sizes depended on methodological characteristics, with more sessions of stimulation producing a larger response. Future research should further investigate the application of NIBS parallel to motor training, in addition to providing a greater quantity of sessions, to help define optimal parameters for NIBS protocols in dystonia. Registration PROSPERO 2020, CRD42020175944.
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Affiliation(s)
| | - Gillian M. Clark
- Cognitive Neuroscience Unit, School of
Psychology, Deakin University, Geelong, VIC, Australia
| | - Elizabeth G. Ellis
- Cognitive Neuroscience Unit, School of
Psychology, Deakin University, Geelong, VIC, Australia
| | - Andris Cerins
- Cognitive Neuroscience Unit, School of
Psychology, Deakin University, Geelong, VIC, Australia
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical
Neurosciences, University of Turku, Turku, Finland,Turku PET Centre, Neurocenter, Turku University
Hospital, Turku, Finland
| | - Peter G. Enticott
- Cognitive Neuroscience Unit, School of
Psychology, Deakin University, Geelong, VIC, Australia
| | - Daniel T. Corp
- Cognitive Neuroscience Unit, School of
Psychology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125,
Australia,Center for Brain Circuit Therapeutics, Brigham
and Women’s Hospital, Boston, MA, USA
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44
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Role of supplementary motor area in cervical dystonia and sensory tricks. Sci Rep 2022; 12:21206. [PMID: 36481868 PMCID: PMC9731945 DOI: 10.1038/s41598-022-25316-w] [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: 11/30/2021] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
Sensory trick is a characteristic feature of cervical dystonia (CD), where a light touch on the area adjacent to the dystonia temporarily improves symptoms. Clinical benefit from sensory tricks can be observed before tactile contact is made or even by imagination. The supplementary motor area (SMA) may dynamically interact with the sensorimotor network and other brain regions during sensory tricks in patients with CD. In this study, we examined the functional connectivity of the SMA at rest and during sensory trick performance and imagination in CD patients compared to healthy controls using functional magnetic resonance imaging. The functional connectivity between the SMA and left intraparietal sulcus (IPS) region was lower in CD patients at rest and it increased with sensory trick imagination and performance. SMA-right cerebellum connectivity also increased with sensory trick imagination in CD patients, while it decreased in healthy controls. In CD patients, SMA connectivity increased in the brain regions involved in sensorimotor integration during sensory trick performance and imagination. Our study results showed a crucial role of SMA in sensorimotor processing during sensory trick performance and imagination and suggest the IPS as a novel potential therapeutic target for brain modulation.
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45
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Impact of Depression on Cognitive Function and Disease Severity in Idiopathic Cervical Dystonia Patients: One-Center Data in Cross-Sectional Study. Medicina (B Aires) 2022; 58:medicina58121793. [PMID: 36556995 PMCID: PMC9781028 DOI: 10.3390/medicina58121793] [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: 10/22/2022] [Revised: 11/27/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Cervical dystonia is a highly disabling hyperkinetic movement disorder with a lot of nonmotor symptoms. One symptom with a high prevalence is depression, which may negatively affect dystonia patients. The aim of the study was to investigate the impact of depression on disease severity and cognitive functions in cervical dystonia patients. Methods: Patients with cervical dystonia were interviewed and divided into two groups, based on the Patient Health Questionnaire-9: those with no depression or mild depressive features and those with moderate, moderately severe, and severe depression. The severity of dystonia and cognitive functions were assessed and compared in both groups. Results: A total of 52 patients were investigated. Self-assessment of the disease was more negative in clinically significant depressive signs group (p = 0.004), with a tendency for patients with clinically significant depressive features to have a slightly higher score on objective dystonia scales (TSUI and TWSTRS), but without statistically significant differences (p = 0.387 and p = 0.244, respectively). Although not statistically significant, a slightly higher MoCA scale score was registered in cervical dystonia patients with clinically insignificant depressive signs. There was a tendency for worse results in the abstraction category in patients with clinically significant depression (p = 0.056). Conclusions: Patients with clinically significant depression have a more negative self-assessment of the disease and perform worse in abstraction tasks.
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Kobeleva X, Varoquaux G, Dagher A, Adhikari M, Grefkes C, Gilson M. Advancing brain network models to reconcile functional neuroimaging and clinical research. Neuroimage Clin 2022; 36:103262. [PMID: 36451365 PMCID: PMC9723311 DOI: 10.1016/j.nicl.2022.103262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/26/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022]
Abstract
Functional magnetic resonance imaging (fMRI) captures information on brain function beyond the anatomical alterations that are traditionally visually examined by neuroradiologists. However, the fMRI signals are complex in addition to being noisy, so fMRI still faces limitations for clinical applications. Here we review methods that have been proposed as potential solutions so far, namely statistical, biophysical and decoding models, with their strengths and weaknesses. We especially evaluate the ability of these models to directly predict clinical variables from their parameters (predictability) and to extract clinically relevant information regarding biological mechanisms and relevant features for classification and prediction (interpretability). We then provide guidelines for useful applications and pitfalls of such fMRI-based models in a clinical research context, looking beyond the current state of the art. In particular, we argue that the clinical relevance of fMRI calls for a new generation of models for fMRI data, which combine the strengths of both biophysical and decoding models. This leads to reliable and biologically meaningful model parameters, which thus fulfills the need for simultaneous interpretability and predictability. In our view, this synergy is fundamental for the discovery of new pharmacological and interventional targets, as well as the use of models as biomarkers in neurology and psychiatry.
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Affiliation(s)
- Xenia Kobeleva
- Department of Neurology, University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE) Bonn, Bonn, Germany
| | | | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montréal, Canada
| | - Mohit Adhikari
- Bio-imaging Lab, University of Antwerp, Antwerp, Belgium
| | - Christian Grefkes
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Juelich, Juelich, Germany; Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | - Matthieu Gilson
- Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Center for Brain and Cognition, Department of Information and Telecommunication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.
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47
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Kim NY, Taylor JJ, Kim YW, Borsook D, Joutsa J, Li J, Quesada C, Peyron R, Fox MD. Network Effects of Brain Lesions Causing Central Poststroke Pain. Ann Neurol 2022; 92:834-845. [PMID: 36271755 DOI: 10.1002/ana.26468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVE This study was undertaken to test whether lesions causing central poststroke pain (CPSP) are associated with a specific connectivity profile, whether these connections are associated with metabolic changes, and whether this network aligns with neuromodulation targets for pain. METHODS Two independent lesion datasets were utilized: (1) subcortical lesions from published case reports and (2) thalamic lesions with metabolic imaging using 18F- fluorodeoxyglucose positron emission tomography-computed tomography. Functional connectivity between each lesion location and the rest of the brain was assessed using a normative connectome (n = 1,000), and connections specific to CPSP were identified. Metabolic changes specific to CPSP were also identified and related to differences in lesion connectivity. Therapeutic relevance of the network was explored by testing for alignment with existing brain stimulation data and by prospectively targeting the network with repetitive transcranial magnetic stimulation (rTMS) in 7 patients with CPSP. RESULTS Lesion locations causing CPSP showed a specific pattern of brain connectivity that was consistent across two independent lesion datasets (spatial r = 0.82, p < 0.0001). Connectivity differences were correlated with postlesion metabolism (r = -0.48, p < 0.001). The topography of this lesion-based pain network aligned with variability in pain improvement across 12 prior neuromodulation targets and across 32 patients who received rTMS to primary motor cortex (p < 0.05). Prospectively targeting this network with rTMS improved CPSP in 6 of 7 patients. INTERPRETATION Lesions causing pain are connected to a specific brain network that shows metabolic abnormalities and promise as a neuromodulation target. ANN NEUROL 2022;92:834-845.
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Affiliation(s)
- Na Young Kim
- Department and Research, Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Rehabilitation Medicine, Yongin Severance Hospital, Yongin, Republic of Korea.,Center for Digital Heath, Yongin Severance Hospital, Yongin, Republic of Korea
| | - Joseph J Taylor
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, Radiology, and Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA.,Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Yong Wook Kim
- Department and Research, Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - David Borsook
- Harvard Medical School, Boston, MA, USA.,Departments of Psychiatry and Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku, Finland.,Turku PET Center, Neurocenter, Turku University Hospital, Turku, Finland
| | - Jing Li
- Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Charles Quesada
- Central Integration of Pain (NeuroPain) Laboratory-Lyon Neurosciences Research Center, National Institute of Health and Medical Research U1028, Lyon, France.,Stephanois Pain Center, Saint-Etienne Regional University Hospital Center, Saint-Etienne, France.,Department of Physical Therapy, Claude Bernard Lyon-1 University, Lyon, France
| | - Roland Peyron
- Central Integration of Pain (NeuroPain) Laboratory-Lyon Neurosciences Research Center, National Institute of Health and Medical Research U1028, Lyon, France.,Department of Physical Therapy, Claude Bernard Lyon-1 University, Lyon, France.,Neurology Department, Saint-Etienne Regional University Hospital Center, Saint-Etienne, France
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, Radiology, and Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA.,Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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48
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Butchereit K, Manzini M, Polatajko HJ, Lin JP, McClelland VM, Gimeno H. Harnessing cognitive strategy use for functional problems and proposed underlying mechanisms in childhood-onset dystonia. Eur J Paediatr Neurol 2022; 41:1-7. [PMID: 36108454 DOI: 10.1016/j.ejpn.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND There is a significant gap in knowledge about rehabilitation techniques and strategies that can help children and young people with hyperkinetic movement disorders (HMD) including dystonia to successfully perform daily activities and improve overall participation. A promising approach to support skill acquisition is the Cognitive Orientation to daily Occupational Performance (CO-OP) intervention. CO-OP uses cognitive strategies to help patients generate their own solutions to overcome self-identified problems encountered in everyday living. PURPOSE 1. To identify and categorize strategies used by children with HMD to support skill acquisition during CO-OP; 2. To review the possible underlying mechanisms that might contribute to the cognitive strategies, in order to facilitate further studies for developing focused rehabilitation approaches. METHODS A secondary analysis was performed on video-recorded data from a previous study exploring the efficacy of CO-OP for childhood onset HMD, in which CO-OP therapy sessions were delivered by a single occupational therapist. For the purpose of this study, we reviewed a total of 40 randomly selected hours of video footage of CO-OP sessions delivered to six participants (age 6-19 years) over ten intervention sessions. An observational recording sheet was applied to identify systematically the participants' or therapist's verbalizations of cognitive strategies during the therapy. The strategies were classified into six categories in line with published literature. RESULTS Strategies used by HMD participants included distraction, externally focussed attention, internally focussed attention, emotion self-regulation, motor imagery and mental self-guidance. We postulate different underlying working mechanisms for these strategies, which have implications for the therapeutic management of children and young people with HMD including dystonia. CONCLUSIONS Cognitive strategy training can fundamentally change and improve motor performance. On-going work will address both the underlying neural mechanisms of therapeutic change and the mediators and moderators that influence how change unfolds.
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Affiliation(s)
- Kailee Butchereit
- University of Toronto, Department of Occupational Science and Occupational Therapy, Toronto, Canada
| | - Michael Manzini
- University of Toronto, Department of Occupational Science and Occupational Therapy, Toronto, Canada
| | - Helene J Polatajko
- University of Toronto, Department of Occupational Science and Occupational Therapy, Toronto, Canada
| | - Jean-Pierre Lin
- Complex Motor Disorders Service, Paediatric Neurosciences, Evelina London Children's Hospital, Guy's & St Thomas' NHS Foundation Trust, London, UK; Women and Children's Institute, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Verity M McClelland
- Complex Motor Disorders Service, Paediatric Neurosciences, Evelina London Children's Hospital, Guy's & St Thomas' NHS Foundation Trust, London, UK; Women and Children's Institute, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Hortensia Gimeno
- Complex Motor Disorders Service, Paediatric Neurosciences, Evelina London Children's Hospital, Guy's & St Thomas' NHS Foundation Trust, London, UK; Barts Health NHS Trust, Royal London Hospital and Tower Hamlets Community Therapy Services, London, UK; Wolfson Institute of Population Medicine, Preventive Neurology Institute, Queen Mary University of London, London, UK.
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49
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Qin Y, Qiu S, Liu X, Xu S, Wang X, Guo X, Tang Y, Li H. Lesions causing post-stroke spasticity localize to a common brain network. Front Aging Neurosci 2022; 14:1011812. [PMID: 36389077 PMCID: PMC9642815 DOI: 10.3389/fnagi.2022.1011812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Objective The efficacy of clinical interventions for post-stroke spasticity (PSS) has been consistently unsatisfactory, probably because lesions causing PSS may occur at different locations in the brain, leaving the neuroanatomical substrates of spasticity unclear. Here, we investigated whether heterogeneous lesions causing PSS were localized to a common brain network and then identified the key nodes in this network. Methods We used 32 cases of PSS and the Human Connectome dataset (n = 1,000), using a lesion network mapping method to identify the brain regions that were associated with each lesion in patients with PSS. Functional connectivity maps of all lesions were overlaid to identify common connectivity. Furthermore, a split-half replication method was used to evaluate reproducibility. Then, the lesion network mapping results were compared with those of patients with post-stroke non-spastic motor dysfunction (n = 29) to assess the specificity. Next, both sensitive and specific regions associated with PSS were identified using conjunction analyses, and the correlation between these regions and PSS was further explored by correlation analysis. Results The lesions in all patients with PSS were located in different cortical and subcortical locations. However, at least 93% of these lesions (29/32) had functional connectivity with the bilateral putamen and globus pallidus. These connections were highly repeatable and specific, as compared to those in non-spastic patients. In addition, the functional connectivity between lesions and bilateral putamen and globus pallidus in patients with PSS was positively correlated with the degree of spasticity. Conclusion We identified that lesions causing PSS were localized to a common functional connectivity network defined by connectivity to the bilateral putamen and globus pallidus. This network may best cover the locations of lesions causing PSS. The putamen and globus pallidus may be potential key regions in PSS. Our findings complement previous neuroimaging studies on PSS, contributing to identifying patients with stroke at high risk for spasticity at an early stage, and may point to PSS-specific brain stimulation targets.
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Affiliation(s)
- Yin Qin
- Department of Rehabilitation Medicine, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
- Department of Rehabilitation Medicine, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
- *Correspondence: Yin Qin,
| | - Shuting Qiu
- Department of Rehabilitation Medicine, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Xiaoying Liu
- Department of Rehabilitation Medicine, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
- Department of Rehabilitation Medicine, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Shangwen Xu
- Department of Radiology, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
| | - Xiaoyang Wang
- Department of Radiology, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
| | - Xiaoping Guo
- Department of Rehabilitation Medicine, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
- Department of Rehabilitation Medicine, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yuting Tang
- Department of Rehabilitation Medicine, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Hui Li
- Department of Radiology, The 900th Hospital of Joint Logistic Support Force, People’s Liberation Army (PLA), Fuzhou, China
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Sperandeo A, Tamburini C, Noakes Z, de la Fuente DC, Keefe F, Petter O, Plumbly W, Clifton N, Li M, Peall K. Cortical neuronal hyperexcitability and synaptic changes in SGCE mutation-positive myoclonus dystonia. Brain 2022; 146:1523-1541. [PMID: 36204995 PMCID: PMC10115238 DOI: 10.1093/brain/awac365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/17/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
Abstract
Myoclonus Dystonia is a childhood-onset hyperkinetic movement disorder with a combined motor and psychiatric phenotype. It represents one of the few autosomal dominant inherited dystonic disorders and is caused by mutations in the ε-sarcoglycan (SGCE) gene. Work to date suggests that dystonia is caused by disruption of neuronal networks, principally basal ganglia-cerebello-thalamo-cortical circuits. Investigation of cortical involvement has primarily focused on disruption to interneuron inhibitory activity, rather than the excitatory activity of cortical pyramidal neurons. Here, we have sought to examine excitatory cortical glutamatergic activity using two approaches; the CRISPR/Cas9 editing of a human embryonic cell line, generating an SGCE compound heterozygous mutation, and three patient-derived induced pluripotent stem cell lines (iPSC) each gene edited to generate matched wild-type SGCE control lines. Differentiation towards a cortical neuronal phenotype demonstrated no significant differences in neither early- (PAX6, FOXG1) nor late-stage (CTIP2, TBR1) neurodevelopmental markers. However, functional characterisation using Ca2+ imaging and MEA approaches identified an increase in network activity, while single-cell patch clamp studies found a greater propensity towards action potential generation with larger amplitudes and shorter half-widths associated with SGCE-mutations. Bulk-RNA-seq analysis identified gene ontological enrichment for neuron projection development, synaptic signalling, and synaptic transmission. Examination of dendritic morphology found SGCE-mutations to be associated with a significantly higher number of branches and longer branch lengths, together with longer ion-channel dense axon initial segments, particularly towards the latter stages of differentiation (D80 and D100). Gene expression and protein quantification of key synaptic proteins (synaptophysin, synapsin and PSD95), AMPA and NMDA receptor subunits found no significant differences between the SGCE-mutation and matched wild-type lines. By contrast, significant changes to synaptic adhesion molecule expression were identified, namely higher pre-synaptic neurexin-1 and lower post-synaptic neuroligin-4 levels in the SGCE mutation carrying lines. Our study demonstrates an increased intrinsic excitability of cortical glutamatergic neuronal cells in the context of SGCE mutations, coupled with a more complex neurite morphology and disruption to synaptic adhesion molecules. These changes potentially represent key components to the development of the hyperkinetic clinical phenotype observed in Myoclonus Dystonia, as well a central feature to the wider spectrum of dystonic disorders, potentially providing targets for future therapeutic development.
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Affiliation(s)
- Alessandra Sperandeo
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Claudia Tamburini
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Zoe Noakes
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Daniel Cabezas de la Fuente
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Francesca Keefe
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Olena Petter
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - William Plumbly
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Nicholas Clifton
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Meng Li
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
| | - Kathryn Peall
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Hadyn Ellis Building, Cardiff, CF24 4HQ
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