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Su S, Sha R, Qiu H, Chu J, Lin L, Qian L, Hu M, Wu C, Cheung GL, Yang Z, Chen Y, Zhao J. Altered large-scale individual-based morphological brain network in spinocerebellar ataxia type 3. CNS Neurosci Ther 2023; 29:4102-4112. [PMID: 37392035 PMCID: PMC10651944 DOI: 10.1111/cns.14332] [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: 05/11/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Accumulating evidences indicate regional gray matter (GM) morphology atrophy in spinocerebellar ataxia type 3 (SCA3); however, whether large-scale morphological brain networks (MBNs) undergo widespread reorganization in these patients remains unclear. OBJECTIVE To investigate the topological organization of large-scale individual-based MBNs in SCA3 patients. METHODS The individual-based MBNs were constructed based on the inter-regional morphological similarity of GM regions. Graph theoretical analysis was taken to assess GM structural connectivity in 76 symptomatic SCA3, 24 pre-symptomatic SCA3, and 54 healthy normal controls (NCs). Topological parameters of the resulting graphs and network-based statistics analysis were compared among symptomatic SCA3, pre-symptomatic SCA3, and NCs groups. The inner association between network properties and clinical variables was further analyzed. RESULTS Compared to NCs and pre-symptomatic SCA3 patients, symptomatic SCA3 indicated significantly decreased integration and segregation, a shift to "weaker small-worldness", characterized by decreased Cp , lower Eloc, and Eglob (all p < 0.005). Regarding nodal properties, symptomatic SCA3 exhibited significantly decreased nodal profiles in the central executive network (CEN)-related left inferior frontal gyrus, limbic regions involving the bilateral amygdala, left hippocampus, and bilateral pallidum, thalamus; and increased nodal degree, efficiency in bilateral caudate (all pFDR <0.05). Meanwhile, clinical variables were correlated with altered nodal profiles (pFDR ≤0.029). SCA3-related subnetwork was closely interrelated with dorsolateral cortico-striatal circuitry extending to orbitofrontal-striatal circuits and dorsal visual systems (lingual gyrus-striatal). CONCLUSION Symptomatic SCA3 patients undergo an extensive and significant reorganization in large-scale individual-based MBNs, probably due to disrupted prefrontal cortico-striato-thalamo-cortical loops, limbic-striatum circuitry, and enhanced connectivity in the neostriatum. This study highlights the crucial role of abnormal morphological connectivity alterations beyond the pattern of brain atrophy, which might pave the way for therapeutic development in the future.
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Affiliation(s)
- Shu Su
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Runhua Sha
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Haishan Qiu
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Jianping Chu
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Liping Lin
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Long Qian
- Department of Biomedical Engineering, College of EngineeringPeking UniversityBeijingChina
| | - Manshi Hu
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Chao Wu
- Department of Neurology, The First Affiliated HospitalSun Yat‐Sen UniversityGuangzhouChina
| | | | - Zhiyun Yang
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Yingqian Chen
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
| | - Jing Zhao
- Department of Radiology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
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2
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Tang J, Xie Y, Liao W, Zhang Y, Yang F, Zhao L, Zhou G, Zhang Y, Jiang H, Xing W. Association between cortical gyrification and white matter integrity in spinocerebellar ataxia type 3. Cereb Cortex 2023; 33:2174-2182. [PMID: 35567796 DOI: 10.1093/cercor/bhac199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/28/2022] [Accepted: 01/21/2022] [Indexed: 11/13/2022] Open
Abstract
Gray matter volume and thickness reductions have been reported in patients with spinocerebellar ataxia type 3 (SCA3), whereas cortical gyrification alterations of this disease remain largely unexplored. Using local gyrification index (LGI) and fractional anisotropy (FA) from structural and diffusion MRI data, this study investigated the cortical gyrification alterations as well as their relationship with white matter microstructural abnormalities in patients with SCA3 (n = 61) compared with healthy controls (n = 69). We found widespread reductions in cortical LGI and white matter FA in patients with SCA3 and that changes in these 2 features were also coupled. In the patient group, the LGI of the left middle frontal gyrus, bilateral insula, and superior temporal gyrus was negatively correlated with the severity of depressive symptoms, and the FA of a cluster in the left cerebellum was negatively correlated with the Scale for the Assessment and Rating of Ataxia scores. Our findings suggest that the gyrification abnormalities observed in this study may account for the clinical heterogeneity in SCA3 and are likely to be mediated by the underlying white matter microstructural abnormalities of this disease.
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Affiliation(s)
- Jingyi Tang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Yue Xie
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Weihua Liao
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China.,Molecular Imaging Research Center of Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Youming Zhang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China
| | - Fangxue Yang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Linmei Zhao
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Gaofeng Zhou
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Yuanchao Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Wu Xing
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
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3
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Sobana SA, Huda F, Hermawan R, Sribudiani Y, Koan TS, Dian S, Ong PA, Dahlan NL, Utami N, Pusparini I, Gamayani U, Mohamed Ibrahim N, Achmad TH. Brain MRI Volumetry Analysis in an Indonesian Family of SCA 3 Patients: A Case-Based Study. Front Neurol 2022; 13:912592. [PMID: 35847233 PMCID: PMC9277061 DOI: 10.3389/fneur.2022.912592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/01/2022] [Indexed: 11/22/2022] Open
Abstract
Introduction Spinocerebellar ataxia type-3 (SCA3) is an adult-onset autosomal dominant neurodegenerative disease. It is caused by expanding of CAG repeat in ATXN3 gene that later on would affect brain structures. This brain changes could be evaluated using brain MRI volumetric. However, findings across published brain volumetric studies have been inconsistent. Here, we report MRI brain volumetric analysis in a family of SCA 3 patients, which included pre-symptomatic and symptomatic patients. Methodology The study included affected and unaffected members from a large six-generation family of SCA 3, genetically confirmed using PolyQ/CAG repeat expansion analysis, Sanger sequencing, and PCR. Clinical evaluation was performed using Scale for the Assessment and Rating of Ataxia (SARA). Subjects' brains were scanned using 3.0-T MRI with a 3D T1 BRAVO sequence. Evaluations were performed by 2 independent neuroradiologists. An automated volumetric analysis was performed using FreeSurfer and CERES (for the cerebellum). Result We evaluated 7 subjects from this SCA3 family, including 3 subjects with SCA3 and 4 unaffected subjects. The volumetric evaluation revealed smaller brain volumes (p < 0.05) in the corpus callosum, cerebellar volume of lobules I-II, lobule IV, lobule VIIB and lobule IX; and in cerebellar gray matter volume of lobule IV, and VIIIA; in the pathologic/expanded CAG repeat group (SCA3). Conclusion Brain MRI volumetry of SCA3 subjects showed smaller brain volumes in multiple brain regions including the corpus callosum and gray matter volumes of several cerebellar lobules.
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Affiliation(s)
- Siti Aminah Sobana
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
- Research Center of Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Doctoral Study Program, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Siti Aminah Sobana
| | - Fathul Huda
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
- Research Center of Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- *Correspondence: Fathul Huda
| | - Robby Hermawan
- Department of Radiology, Saint Borromeus Hospital, Bandung, Indonesia
| | - Yunia Sribudiani
- Research Center of Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Tan Siauw Koan
- Department of Radiology, Saint Borromeus Hospital, Bandung, Indonesia
| | - Sofiati Dian
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Paulus Anam Ong
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Nushrotul Lailiyya Dahlan
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Nastiti Utami
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Iin Pusparini
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Uni Gamayani
- Department of Neurology, Faculty of Medicine, Dr. Hasan Sadikin Central General Hospital/Universitas Padjadjaran, Bandung, Indonesia
| | - Norlinah Mohamed Ibrahim
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Center, Kuala Lumpur, Malaysia
| | - Tri Hanggono Achmad
- Research Center of Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
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4
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Rezende Filho FM, Jurkute N, de Andrade JBC, Marianelli BF, Ferraz Sallum JM, Yu-Wai-Man P, Barsottini OG, Pedroso JL. Characterization of Retinal Architecture in Spinocerebellar Ataxia Type 3 and Correlation with Disease Severity. Mov Disord 2022; 37:758-766. [PMID: 34936137 DOI: 10.1002/mds.28893] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/01/2021] [Accepted: 11/24/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Neurodegeneration affects the brain and peripheral nervous system in spinocerebellar ataxia type 3 (SCA3). As the retina is also involved, studying the retinal architecture in a cohort of patients could reveal clinically relevant biomarkers. OBJECTIVE The aim is to investigate retinal architecture in SCA3 to identify potential biomarkers. METHODS We evaluated 38 patients with SCA3 and 25 healthy age-matched controls, who underwent visual acuity assessment, intraocular pressure measurement, and fundoscopy and macular and peripapillary spectral domain optical coherence tomography (SD-OCT). We measured the peripapillary retinal nerve fiber layer (pRNFL) thickness in each quadrant of the temporal-superior-nasal-inferior-temporal chart and the macular layer thicknesses in each sector of the inner circle of the Early Treatment Diabetic Retinopathy Study (IC-ETDRS) grid. Linear regression analysis was employed to test the associations between retinal parameters and age, disease duration, CAG repeats, and SARA (Scale of the Assessment and Rating of Ataxia) and ICARS (International Cooperative Ataxia Rating Scale) scores in SCA3. RESULTS In all sectors, except for the temporal quadrant, pRNFL was significantly thinner in SCA3 patients than in controls. Average total macular, ganglion cell layer (GCL), and inner plexiform layer (IPL) thicknesses were significantly decreased in SCA3 patients in comparison to controls. The average total macular thickness and the average thicknesses of RNFL, GCL, and IPL negatively correlated with ICARS scores, whereas average GCL and IPL thicknesses negatively correlated with SARA scores. CONCLUSIONS The retinal ganglion cells, their dendrites, and axons are selectively affected in SCA3 patients. The RNFL, GCL, and IPL thicknesses in SD-OCT correlate with the clinical phenotype and represent potential biomarkers for future clinical trials and natural history studies. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Flávio Moura Rezende Filho
- Division of General Neurology and Ataxia Unit, Department of Neurology, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Neringa Jurkute
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
| | - João Brainer Clares de Andrade
- Division of General Neurology and Ataxia Unit, Department of Neurology, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | | | | | - Patrick Yu-Wai-Man
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Cambridge Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Cambridge Eye Unit, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, United Kingdom
| | - Orlando G Barsottini
- Division of General Neurology and Ataxia Unit, Department of Neurology, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - José Luiz Pedroso
- Division of General Neurology and Ataxia Unit, Department of Neurology, Universidade Federal de São Paulo, Sao Paulo, Brazil
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5
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Draganova R, Pfaffenrot V, Steiner KM, Göricke SL, Elangovan N, Timmann D, Konczak J. Neurostructural changes and declining sensorimotor function due to cerebellar cortical degeneration. J Neurophysiol 2021; 125:1735-1745. [PMID: 33760649 DOI: 10.1152/jn.00266.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Neurodegeneration of the cerebellum progresses over years and primarily affects cerebellar cortex. It leads to a progressive loss of control and coordination of gait, posture, speech, fine motor, and oculomotor function. Yet, little is known how the cerebro-cerebellar network compensates for the loss in cerebellar cortical neurons. To address this knowledge gap, we examined 30 people with cerebellar cortical degeneration and a group of 30 healthy controls. We assessed visuomotor performance during a forearm-pointing task to 10°, 25°, and 50° targets. In addition, using MRI imaging, we determined neurodegenerative-induced changes in gray matter volume (GMV) in the cerebro-cerebellar network and correlated them to markers of motor performance. The main results are as follows: first, the relative joint position error (RJPE) during pointing was significantly greater in the ataxia group for all targets confirming the expected motor control deficit. Second, in the ataxia group, GMV was significantly reduced in cerebellar cortex but increased in the deep cerebellar nuclei. Motor error (RJPE) correlated negatively with decreased cerebellar GMV but positively with increased GMV in supplementary motor area (SMA) and premotor cortex. GMV of the deep cerebellar nuclei did not correlate significantly with markers of motor performance. We discuss whether the GMV changes in the cerebellar output nuclei and the extracerebellar efferent targets in secondary motor cortex can be understood as a central compensatory response to the neurodegeneration of the cerebellar cortex.NEW & NOTEWORTHY Neurodegeneration of the cerebellum progresses over years and primarily affects cerebellar cortex. It leads to a progressive loss of control and coordination of movement. We here show that the neurodegenerative process not only leads to cells loss in cerebellar cortex but also induces neurostructural changes in the form of increased gray matter in the efferent targets of the cerebellar cortex, namely, the cerebellar output nuclei, the SMA, and premotor cortex.
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Affiliation(s)
- Rossitza Draganova
- Department of Neurology, Essen University Medical Center, University of Duisburg-Essen, Essen, Germany
| | - Viktor Pfaffenrot
- Erwin L Hahn Institute of Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
| | - Katharina M Steiner
- Department of Neurology, Essen University Medical Center, University of Duisburg-Essen, Essen, Germany
| | - Sophia L Göricke
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Naveen Elangovan
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota.,Center for Clinical Movement Science, University of Minnesota, Minneapolis, Minnesota
| | - Dagmar Timmann
- Department of Neurology, Essen University Medical Center, University of Duisburg-Essen, Essen, Germany
| | - Jürgen Konczak
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota.,Center for Clinical Movement Science, University of Minnesota, Minneapolis, Minnesota
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6
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Pereira-Sousa J, Ferreira-Lomba B, Bellver-Sanchis A, Vilasboas-Campos D, Fernandes JH, Costa MD, Varney MA, Newman-Tancredi A, Maciel P, Teixeira-Castro A. Identification of the 5-HT 1A serotonin receptor as a novel therapeutic target in a C. elegans model of Machado-Joseph disease. Neurobiol Dis 2021; 152:105278. [PMID: 33516872 DOI: 10.1016/j.nbd.2021.105278] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/15/2021] [Accepted: 01/24/2021] [Indexed: 12/18/2022] Open
Abstract
Machado-Joseph disease (MJD) or Spinocerebellar ataxia type 3 (SCA3) is a progressive neurodegenerative disorder that affects movement coordination leading to a premature death. Despite several efforts, no disease-modifying treatment is yet available for this disease. Previous studies pinpointed the modulation of serotonergic signaling, through pharmacological inhibition of the serotonin transporter SERT, as a promising therapeutic approach for MJD/SCA3. Here, we describe the 5-HT1A receptor as a novel therapeutic target in MJD, using a C. elegans model of ATXN3 proteotoxicity. Chronic and acute administration of befiradol (also known as NLX-112), a highly specific 5-HT1A agonist, rescued motor function and suppressed mutant ATXN3 aggregation. This action required the 5-HT1A receptor orthologue in the nematode, SER-4. Tandospirone, a clinically tested 5-HT1A receptor partial agonist, showed a limited impact on animals' motor dysfunction on acute administration and a broader receptor activation profile upon chronic treatment, its effect depending on 5-HT1A but also on the 5-HT6/SER-5 and 5-HT7/SER-7 receptors. Our results support high potency and specificity of befiradol for activation of 5-HT1A/SER-4 receptors and highlight the contribution of the auto- and hetero-receptor function to the therapeutic outcome in this MJD model. Our study deepens the understanding of serotonergic signaling modulation in the suppression of ATXN3 proteotoxicity and suggests that a potent and selective 5-HT1A receptor agonist such as befiradol could constitute a promising therapeutic agent for MJD.
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Affiliation(s)
- Joana Pereira-Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal; Behavioral & Molecular Lab (Bn'ML), University of Minho, Braga, Portugal
| | - Bruna Ferreira-Lomba
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal
| | - Aina Bellver-Sanchis
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal
| | - Daniela Vilasboas-Campos
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal
| | - Jorge H Fernandes
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal
| | - Marta D Costa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal
| | | | | | - Patrícia Maciel
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal.
| | - Andreia Teixeira-Castro
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory Braga/Guimarães, Portugal.
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7
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Guo J, Chen H, Biswal BB, Guo X, Zhang H, Dai L, Zhang Y, Li L, Fan Y, Han S, Liu J, Feng L, Wang Q, Wang J, Liu C, Chen H. Gray matter atrophy patterns within the cerebellum-neostriatum-cortical network in SCA3. Neurology 2020; 95:e3036-e3044. [PMID: 33024025 DOI: 10.1212/wnl.0000000000010986] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 07/22/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To investigate the spatial patterns and the probable sequences of gray matter atrophy in spinocerebellar ataxia type 3 (SCA3). METHODS A total of 47 patients with SCA3 and 49 age- and sex-matched healthy controls participated in the study. High-resolution T1-weighted MRI were examined in all participants. We used the causal network of structural covariance (CasCN) to identify the sequence of gray matter atrophy patterns. This was achieved by applying Granger causality analysis to a gray matter atrophy staging scheme performed by voxel-based morphometry from the network level. RESULTS Participants in the premanifest stage of the disease showed the presence of focal gray matter atrophy in the vermis. As the disease duration increased, there was progressive gray matter atrophy in the cerebellar, neostriatum, frontal lobe, and parietal lobe. The patients with SCA3 also showed proximal and distal cortical atrophy sequences exerting from the vermis to the regions mainly located in the cerebellum-neostriatum-cortical network. CONCLUSION Our results, although preliminary in nature, indicate that the gray matter atrophy in SCA3 lies and extends to involve more regions according to distinct anatomical patterns, mainly in the cerebellum-neostriatum-cortical network. These findings advance our understanding on the natural history of structural damage in SCA3, while confirming known clinical features. This could provide unique insight into the ordered sequential process of regional brain atrophy that targets a particular network.
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Affiliation(s)
- Jing Guo
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Hui Chen
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Bharat B Biswal
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Xiaonan Guo
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Huangbin Zhang
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Limeng Dai
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Yuhan Zhang
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Liang Li
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Yunshuang Fan
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Shaoqiang Han
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Juan Liu
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Liu Feng
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark
| | - Qiannan Wang
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Jian Wang
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Chen Liu
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
| | - Huafu Chen
- From The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation (J.G., B.B.B., X.G., H.Z., L.L., Y.F., S.H., Huafu Chen), School of Medicine (J.G.), and School of Life Science and Technology, Center for Information in Medicine (X.G., H.Z., L.L., Y.F., S.H.), University of Electronic Science and Technology of China, Chengdu; Departments of Radiology (Hui Chen, Y.Z., J.L, J.W., C.L., Huafu Chen) and Laboratory Medicine (L.F.), Southwest Hospital, Department of Medical Genetics, College of Basic Medical Science (L.D.), and Department of Biomedical Engineering & Imaging Medicine (Q.W.), Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China; and Department of Biomedical Engineering (B.B.B.), New Jersey Institute of Technology, Newark.
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8
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Wan N, Chen Z, Wan L, Tang B, Jiang H. MR Imaging of SCA3/MJD. Front Neurosci 2020; 14:749. [PMID: 32848545 PMCID: PMC7417615 DOI: 10.3389/fnins.2020.00749] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/25/2020] [Indexed: 12/15/2022] Open
Abstract
Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is a progressive autosomal dominantly inherited cerebellar ataxia characterized by the aggregation of polyglutamine-expanded protein within neuronal nuclei in the brain, which can lead to brain damage that precedes the onset of clinical manifestations. Magnetic resonance imaging (MRI) techniques such as morphometric MRI, diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and magnetic resonance spectroscopy (MRS) have gained increasing attention as non-invasive and quantitative methods for the assessment of structural and functional alterations in clinical SCA3/MJD patients as well as preclinical carriers. Morphometric MRI has demonstrated typical patterns of atrophy or volume loss in the cerebellum and brainstem with extensive lesions in some supratentorial areas. DTI has detected widespread microstructural alterations in brain white matter, which indicate disrupted brain anatomical connectivity. Task-related fMRI has presented unusual brain activation patterns within the cerebellum and some extracerebellar tissue, reflecting the decreased functional connectivity of these brain regions in SCA3/MJD subjects. MRS has revealed abnormal neurochemical profiles, such as the levels or ratios of N-acetyl aspartate, choline, and creatine, in both clinical cases and preclinical cases before the alterations in brain anatomical structure. Moreover, a number of studies have reported correlations of MR imaging alterations with clinical and genetic features. The utility of these MR imaging techniques can help to identify preclinical SCA3/MJD carriers, monitor disease progression, evaluate response to therapeutic interventions, and illustrate the pathophysiological mechanisms underlying the occurrence, development, and prognosis of SCA3/MJD.
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Affiliation(s)
- Na Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
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9
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Nakata Y, Sakamoto A, Kawata A. Neuromelanin imaging analyses of the substantia nigra in patients with Machado-Joseph disease. Neuroradiology 2020; 62:1433-1439. [DOI: 10.1007/s00234-020-02479-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 06/11/2020] [Indexed: 12/31/2022]
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10
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Effects of corticosterone injections in mid-to-late mouse postnatal development on adult motor activity and coordination. Neurosci Res 2020; 164:22-32. [PMID: 32320709 DOI: 10.1016/j.neures.2020.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 02/08/2023]
Abstract
Glucocorticoids are involved in the developing brain but, in excessive amounts, may depress its growth and cause psychomotor development disorders. To test the long-term vulnerability of motor structures such as the cerebellum to supraphysiological corticosterone (CORT), the hormone was subcutaneously delivered at a dose of 20 mg/kg from postnatal day (P) 8 to P29 in C57BL/6 male mice evaluated for sensorimotor functions at P15, P22, P29, and 3 months. Relative to placebo, CORT increased motor activity in the open-field at P29 and 3 months as well as facilitating rotorod acquisition and visuomotor control necessary for swimming towards a visible goal without affecting spatial learning in the Morris water maze. CORT caused lobule-specific effects on cerebellar morphology by decreasing granule cell layer thickness in simplex lobule but increasing molecular and granule cell layer thickness in crus 2. The functional impact of these changes is indicated by significant correlations found between cerebellar size and activity levels or proficiency on the rotorod test of motor coordination.
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11
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Xie F, Weihua L, Lirong O, Wang X, Xing W. Quantitative susceptibility mapping in spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD). Acta Radiol 2020; 61:520-527. [PMID: 31450947 DOI: 10.1177/0284185119868906] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background The deep nuclei, brainstem, and anterior central gyrus are important sites of spinocerebellar ataxia type3/Machado–Joseph Disease (SCA3/MJD) involvement. These locations were the common iron deposition areas. We hypothesized that iron deposition changes occur in SCA3/MJD patients and are associated with disease progression. Purpose Quantitative susceptibility mapping was used to quantitatively analyze changes in iron levels in SCA3/MJD patients. Material and Methods Eighteen symptomatic SCA3/MJD patients and 18 age-matched normal controls (group 1; NC1), and 12 asymptomatic mutation carriers (pre-SCA3/MJD) and 16 age-matched normal controls (group 2; NC2) were examined by enhanced gradient echo T2*-weighted angiography. Data were processed to obtain the quantitative susceptibility mapping values. Independent sample t-tests were conducted to compare the differences in the quantitative susceptibility mapping values. Results In the red nuclei and substantia nigra, the quantitative susceptibility mapping values of the symptomatic SCA3/MJD group were significantly higher than those of NC1 ( P < 0.05). The quantitative susceptibility mapping values of the symptomatic SCA3/MJD group were higher than those of NC1 in the globus pallidus, but it was not statistically significant ( P = 0.056). No significant difference in quantitative susceptibility mapping values was found between the pre-SCA3/MJD and NC2. No significant correlation was found between the International Cooperative Ataxia Rating Scale and the Scale for the Assessment and Rating of Ataxia and the quantitative susceptibility mapping values. Conclusion The results clearly demonstrated the quantitative susceptibility mapping value increase in the globus pallidus, red nuclei, and substantia nigra of the symptomatic SCA3/MJD group, indicating iron overload in these nuclei, suggesting that iron deposition is associated with disease onset.
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Affiliation(s)
- Fangfang Xie
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, PR China
| | - Liao Weihua
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, PR China
| | - Ouyang Lirong
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, PR China
| | - Xiaoyi Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, PR China
| | - Wu Xing
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, PR China
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12
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Bando K, Honda T, Ishikawa K, Takahashi Y, Mizusawa H, Hanakawa T. Impaired Adaptive Motor Learning Is Correlated With Cerebellar Hemispheric Gray Matter Atrophy in Spinocerebellar Ataxia Patients: A Voxel-Based Morphometry Study. Front Neurol 2019; 10:1183. [PMID: 31803128 PMCID: PMC6871609 DOI: 10.3389/fneur.2019.01183] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 10/24/2019] [Indexed: 11/13/2022] Open
Abstract
Objective: To evaluate the degree to which recently proposed parameters measured via a prism adaptation task are correlated with changes in cerebellar structure, specifically gray matter volume (GMV), in patients with spinocerebellar degeneration (SCD). Methods: We performed whole-brain voxel-based morphometry (VBM) analysis on 3-dimensional T1-weighted images obtained from 23 patients with SCD [Spinocerebellar ataxia type 6 (SCA6), 31 (SCA31), 3/Machado-Joseph disease (SCA3/MJD), and sporadic cortical cerebellar atrophy (CCA)] and 21 sex- and age-matched healthy controls (HC group). We quantified a composite index representing adaptive motor learning abilities in a hand-reaching task with prism adaptation. After controlling for age, sex, and total intracranial volume, we analyzed group-wise differences in GMV and regional GMV correlations with the adaptive learning index. Results: Compared with the HC group, the SCD group showed reduced adaptive learning abilities and smaller GMV widely in the lobules IV-VIII in the bilateral cerebellar hemispheres. In the SCD group, the adaptive learning index was correlated with cerebellar hemispheric atrophy in the right lobule VI, the left Crus I. Additionally, GMV of the left supramarginal gyrus showed a correlation with the adaptive learning index in the SCD group, while the supramarginal region did not accompany reduction of GMV. Conclusions: This study indicated that a composite index derived from a prism adaptation task was correlated with GMV of the lateral cerebellum and the supramarginal gyrus in patients with SCD. This study should contribute to the development of objective biomarkers for disease severity and progression in SCD.
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Affiliation(s)
- Kyota Bando
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.,Department of NCNP Brain Physiology and Pathology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan.,National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Takeru Honda
- Motor Disorders Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kinya Ishikawa
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuji Takahashi
- National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Hidehiro Mizusawa
- National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.,Department of NCNP Brain Physiology and Pathology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan.,Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Japan
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13
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Cerebellum and cognition in Friedreich ataxia: a voxel-based morphometry and volumetric MRI study. J Neurol 2019; 267:350-358. [PMID: 31641877 DOI: 10.1007/s00415-019-09582-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 09/25/2019] [Accepted: 10/14/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Recent studies have suggested the presence of a significant atrophy affecting the cerebellar cortex in Friedreich ataxia (FRDA) patients, an area of the brain long considered to be relatively spared by neurodegenerative phenomena. Cognitive deficits, which occur in FRDA patients, have been associated with cerebellar volume loss in other conditions. The aim of this study was to investigate the correlation between cerebellar volume and cognition in FRDA. METHODS Nineteen FRDA patients and 20 healthy controls (HC) were included in this study and evaluated via a neuropsychological examination. Cerebellar global and lobular volumes were computed using the Spatially Unbiased Infratentorial Toolbox (SUIT). Furthermore, a cerebellar voxel-based morphometry (VBM) analysis was also carried out. Correlations between MRI metrics and clinical data were tested via partial correlation analysis. RESULTS FRDA patients showed a significant reduction of the total cerebellar volume (p = 0.004), significantly affecting the Lobule IX (p = 0.001). At the VBM analysis, we found a cluster of significant reduced GM density encompassing the entire lobule IX (p = 0.003). When correlations were probed, we found a direct correlation between Lobule IX volume and impaired visuo-spatial functions (r = 0.58, p = 0.02), with a similar correlation that was found between the same altered function and results obtained at the VBM (r = 0.52; p = 0.03). CONCLUSIONS With two different image analysis techniques, we confirmed the presence of cerebellar volume loss in FRDA, mainly affecting the posterior lobe. In particular, Lobule IX atrophy correlated with worse visuo-spatial abilities, further expanding our knowledge about the physiopathology of cognitive impairment in FRDA.
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14
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Extensive cerebellar and thalamic degeneration in spinocerebellar ataxia type 10. Parkinsonism Relat Disord 2019; 66:182-188. [DOI: 10.1016/j.parkreldis.2019.08.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 08/09/2019] [Accepted: 08/19/2019] [Indexed: 12/18/2022]
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15
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Abstract
Cerebellar neuroscience has undergone a paradigm shift. The theories of the universal cerebellar transform and dysmetria of thought and the principles of organization of cerebral cortical connections, together with neuroanatomical, brain imaging, and clinical observations, have recontextualized the cerebellum as a critical node in the distributed neural circuits subserving behavior. The framework for cerebellar cognition stems from the identification of three cognitive representations in the posterior lobe, which are interconnected with cerebral association areas and distinct from the primary and secondary cerebellar sensorimotor representations linked with the spinal cord and cerebral motor areas. Lesions of the anterior lobe primary sensorimotor representations produce dysmetria of movement, the cerebellar motor syndrome. Lesions of the posterior lobe cognitive-emotional cerebellum produce dysmetria of thought and emotion, the cerebellar cognitive affective/Schmahmann syndrome. The notion that the cerebellum modulates thought and emotion in the same way that it modulates motor control advances the understanding of the mechanisms of cognition and opens new therapeutic opportunities in behavioral neurology and neuropsychiatry.
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Affiliation(s)
- Jeremy D Schmahmann
- Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA;
| | - Xavier Guell
- Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA; .,Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Catherine J Stoodley
- Department of Psychology and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA
| | - Mark A Halko
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA
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Hernandez-Castillo CR, King M, Diedrichsen J, Fernandez-Ruiz J. Unique degeneration signatures in the cerebellar cortex for spinocerebellar ataxias 2, 3, and 7. Neuroimage Clin 2018; 20:931-938. [PMID: 30308379 PMCID: PMC6178193 DOI: 10.1016/j.nicl.2018.09.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 08/13/2018] [Accepted: 09/25/2018] [Indexed: 12/14/2022]
Abstract
Spinocerebellar ataxias (SCAs) are a heterogeneous group of neurodegenerative diseases that selectively affect vulnerable neuronal populations in the cerebellum and other subcortical regions. While previous studies have reported subtype differences in the absolute amount of degeneration in specific regions of interest, they failed to account for two important factors. First, they did not control for overall differences in the severity of the degeneration pattern, and second, they did not fully characterize the spatial pattern of degeneration for each SCA subtype. Here, we provide a systematic characterization of the spatial degeneration patterns for three polyQ SCAs (55 patients, either SCA2, SCA3, or SCA7) while controlling for the severity of the degeneration pattern. After this correction, the cerebellar degeneration pattern can successfully classify between the three different SCA subtypes with high cross-validated accuracy. Specifically, degeneration in SCA3 disproportionally affects motor regions of the cerebellar cortex, which explains the relatively severe motor symptoms observed in this subtype. Our results demonstrate that each of the three studied SCA subtypes has a unique cerebellar degeneration signature, hinting at differences in the disease process. Clinically, these differentiable patterns of cerebellar degeneration can be used to reliably discern subtypes, even at relatively early stages of the disease.
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Affiliation(s)
- Carlos R Hernandez-Castillo
- CONACYT - Instituto de Neuroetologia, Universidad Veracruzana, Xalapa, Mexico; Brain and Mind Institute, Western University, London, ON, Canada.
| | - Maedbh King
- Department of Psychology, University of California, Berkeley, CA, USA
| | - Jörn Diedrichsen
- Brain and Mind Institute, Western University, London, ON, Canada; Department of Computer Science and Department of Statistical and Actuarial Sciences, Western University, London, ON, Canada
| | - Juan Fernandez-Ruiz
- Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico. Mexico
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17
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Meles SK, Kok JG, De Jong BM, Renken RJ, de Vries JJ, Spikman JM, Ziengs AL, Willemsen ATM, van der Horn HJ, Leenders KL, Kremer HPH. The cerebral metabolic topography of spinocerebellar ataxia type 3. NEUROIMAGE-CLINICAL 2018; 19:90-97. [PMID: 30035006 PMCID: PMC6051313 DOI: 10.1016/j.nicl.2018.03.038] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 02/23/2018] [Accepted: 03/28/2018] [Indexed: 12/11/2022]
Abstract
Introduction We aimed to uncover the pattern of network-level changes in neuronal function in Spinocerebellar ataxia type 3 (SCA3). Methods 17 genetically-confirmed SCA3 patients and 16 controls underwent structural MRI and static resting-state [18F]‑Fluoro‑deoxyglucose Positron Emission Tomography (FDG-PET) imaging. A SCA3-related pattern (SCA3-RP) was identified using a multivariate method (scaled subprofile model and principal component analysis (SSM PCA)). Participants were evaluated with the Scale for Assessment and Rating of Ataxia (SARA) and with neuropsychological examination including tests for language, executive dysfunction, memory, and information processing speed. The relationships between SCA3-RP expression and clinical scores were explored. Voxel based morphology (VBM) was applied on MRI-T1 images to assess possible correlations between FDG reduction and grey matter atrophy. Results The SCA3-RP disclosed relative hypometabolism of the cerebellum, caudate nucleus and posterior parietal cortex, and relatively increased metabolism in somatosensory areas and the limbic system. This topography, which was not explained by regional atrophy, correlated significantly with ataxia (SARA) scores (ρ = 0.72; P = 0.001). SCA3 patients showed significant deficits in executive function and information processing speed, but only letter fluency correlated with SCA3-RP expression (ρ = 0.51; P = 0.04, uncorrected for multiple comparisons). Conclusion The SCA3 metabolic profile reflects network-level alterations which are primarily associated with the motor features of the disease. Striatum decreases additional to cerebellar hypometabolism underscores an intrinsic extrapyramidal involvement in SCA3. Cerebellar-posterior parietal hypometabolism together with anterior parietal (sensory) cortex hypermetabolism may reflect a shift from impaired feedforward to compensatory feedback processing in higher-order motor control. The demonstrated SCA3-RP provides basic insight in cerebral network changes in this disease. A metabolic cerebral pattern could be identified in FDG-PET data of SCA3 patients, which was not explained by regional atrophy. Striatum decreases in the SCA3-pattern reflect extrapyramidal involvement. The SCA3-pattern reflects changes in higher-order motor control.
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Affiliation(s)
- Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands.
| | - Jelmer G Kok
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Bauke M De Jong
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Remco J Renken
- Neuroimaging Center, Department of Neuroscience, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Jeroen J de Vries
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Jacoba M Spikman
- Department of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Aaltje L Ziengs
- Department of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Antoon T M Willemsen
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Harm J van der Horn
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Klaus L Leenders
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Hubertus P H Kremer
- Department of Neurology, University of Groningen, University Medical Center Groningen, The Netherlands
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18
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Zeitlberger A, Ging H, Nethisinghe S, Giunti P. Advances in the understanding of hereditary ataxia – implications for future patients. Expert Opin Orphan Drugs 2018. [DOI: 10.1080/21678707.2018.1444477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Anna Zeitlberger
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Heather Ging
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Suran Nethisinghe
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Paola Giunti
- Department of Molecular Neuroscience, UCL, Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
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