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Laansma MA, Bright JK, Al-Bachari S, Anderson TJ, Ard T, Assogna F, Baquero KA, Berendse HW, Blair J, Cendes F, Dalrymple-Alford JC, de Bie RMA, Debove I, Dirkx MF, Druzgal J, Emsley HCA, Garraux G, Guimarães RP, Gutman BA, Helmich RC, Klein JC, Mackay CE, McMillan CT, Melzer TR, Parkes LM, Piras F, Pitcher TL, Poston KL, Rango M, Ribeiro LF, Rocha CS, Rummel C, Santos LSR, Schmidt R, Schwingenschuh P, Spalletta G, Squarcina L, van den Heuvel OA, Vriend C, Wang JJ, Weintraub D, Wiest R, Yasuda CL, Jahanshad N, Thompson PM, van der Werf YD. International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease. Mov Disord 2021; 36:2583-2594. [PMID: 34288137 PMCID: PMC8595579 DOI: 10.1002/mds.28706] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 06/07/2021] [Accepted: 06/09/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Brain structure abnormalities throughout the course of Parkinson's disease have yet to be fully elucidated. OBJECTIVE Using a multicenter approach and harmonized analysis methods, we aimed to shed light on Parkinson's disease stage-specific profiles of pathology, as suggested by in vivo neuroimaging. METHODS Individual brain MRI and clinical data from 2357 Parkinson's disease patients and 1182 healthy controls were collected from 19 sources. We analyzed regional cortical thickness, cortical surface area, and subcortical volume using mixed-effects models. Patients grouped according to Hoehn and Yahr stage were compared with age- and sex-matched controls. Within the patient sample, we investigated associations with Montreal Cognitive Assessment score. RESULTS Overall, patients showed a thinner cortex in 38 of 68 regions compared with controls (dmax = -0.20, dmin = -0.09). The bilateral putamen (dleft = -0.14, dright = -0.14) and left amygdala (d = -0.13) were smaller in patients, whereas the left thalamus was larger (d = 0.13). Analysis of staging demonstrated an initial presentation of thinner occipital, parietal, and temporal cortices, extending toward rostrally located cortical regions with increased disease severity. From stage 2 and onward, the bilateral putamen and amygdala were consistently smaller with larger differences denoting each increment. Poorer cognition was associated with widespread cortical thinning and lower volumes of core limbic structures. CONCLUSIONS Our findings offer robust and novel imaging signatures that are generally incremental across but in certain regions specific to disease stages. Our findings highlight the importance of adequately powered multicenter collaborations.
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Affiliation(s)
- Max A Laansma
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joanna K Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Sarah Al-Bachari
- Faculty of Health and Medicine, The University of Lancaster, Lancaster, UK.,Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Neurology, Royal Preston Hospital, Preston, UK
| | - Tim J Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tyler Ard
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | - Henk W Berendse
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jamie Blair
- Department of Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Fernando Cendes
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand.,School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Rob M A de Bie
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ines Debove
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Michiel F Dirkx
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Jason Druzgal
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Hedley C A Emsley
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Lancaster Medical School, Lancaster University, Preston, UK
| | - Gäetan Garraux
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Rachel P Guimarães
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Rick C Helmich
- Department of Neurology and Center of Expertise for Parkinson & Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Johannes C Klein
- Department of Clinical Neurosciences, Division of Clinical Neurology, Oxford Parkinson's Disease Centre, Nuffield, University of Oxford, Oxford, UK
| | - Clare E Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Corey T McMillan
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Tracy R Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Laura M Parkes
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Toni L Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.,New Zealand Brain Research Institute, Christchurch, New Zealand.,Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, Auckland, New Zealand
| | - Kathleen L Poston
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, USA
| | - Mario Rango
- Excellence Center for Advanced MR Techniques and Parkinson's Disease Center, Neurology Unit, Fondazione IRCCS Cà Granda Maggiore Policlinico Hospital, University of Milan, Milan, Italy
| | - Letícia F Ribeiro
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Cristiane S Rocha
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil.,Department of Medical Genetics, University of Campinas, Campinas, Brazil
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Bern, Switzerland
| | - Lucas S R Santos
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | | | | | - Letizia Squarcina
- Excellence Center for Advanced MR Techniques and Parkinson's Disease Center, Neurology Unit, Fondazione IRCCS Cà Granda Maggiore Policlinico Hospital, University of Milan, Milan, Italy
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Chris Vriend
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan.,Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung Branch, Keelung City, Taiwan
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Roland Wiest
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Bern, Switzerland
| | - Clarissa L Yasuda
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Ysbrand D van der Werf
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Guimarães RP, Campos BM, de Rezende TJ, Piovesana L, Azevedo PC, Amato-Filho AC, Cendes F, D'Abreu A. Is Diffusion Tensor Imaging a Good Biomarker for Early Parkinson's Disease? Front Neurol 2018; 9:626. [PMID: 30186216 PMCID: PMC6111994 DOI: 10.3389/fneur.2018.00626] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 07/10/2018] [Indexed: 11/23/2022] Open
Abstract
Objectives: To assess white matter abnormalities in Parkinson's disease (PD). Methods: A hundred and thirty-two patients with PD (mean age 60.93 years; average disease duration 7.8 years) and 137 healthy controls (HC; mean age 57.8 years) underwent the same MRI protocol. Patients were assessed by clinical scales and a complete neurological evaluation. We performed a TBSS analysis to compare patients and controls, and we divided patients into early PD, moderate PD, and severe PD and performed an ROI analysis using tractography. Results: With TBSS we found lower FA in patients in corpus callosum, internal and external capsule, corona radiata, thalamic radiation, sagittal stratum, cingulum and superior longitudinal fasciculus. Increased AD was found in the corpus callosum, fornix, corticospinal tract, superior cerebellar peduncle, cerebral peduncle, internal and external capsules, corona radiata, thalamic radiation and sagittal stratum and increased RD were seen in the corpus callosum, internal and external capsules, corona radiata, sagittal stratum, fornix, and cingulum. Regarding the ROIs, a GLM analysis showed abnormalities in all tracts, mainly in the severe group, when compared to HC, mild PD and moderate PD. Conclusions: Since major abnormalities were found in the severe PD group, we believe DTI analysis might not be the best tool to assess early alterations in PD, and probably, functional and other structural analysis might suit this purpose better. However it can be used to differentiate disease stages, and as a surrogate marker to assess disease progression, being an important measure that could be used in clinical trials. HIGHLIGHTSDTI is not the best tool to identify early PD DTI can differentiate disease stages DTI analysis may be a useful marker for disease progression
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Affiliation(s)
- Rachel P Guimarães
- Department of Neurology, University of Campinas, Campinas, Brazil.,Laboratory of Neuroimaging, University of Campinas, Campinas, Brazil
| | - Brunno M Campos
- Laboratory of Neuroimaging, University of Campinas, Campinas, Brazil
| | | | - Luiza Piovesana
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Paula C Azevedo
- Department of Neurology, University of Campinas, Campinas, Brazil
| | | | - Fernando Cendes
- Department of Neurology, University of Campinas, Campinas, Brazil.,Laboratory of Neuroimaging, University of Campinas, Campinas, Brazil
| | - Anelyssa D'Abreu
- Department of Neurology, University of Campinas, Campinas, Brazil.,Laboratory of Neuroimaging, University of Campinas, Campinas, Brazil
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de Azevedo PC, Guimarães RP, Piccinin CC, Piovesana LG, Campos LS, Zuiani JR, Tamashiro EM, Pinheiro G, Amato-Filho AC, Cendes F, Lopes-Cendes I, D’Abreu A. Cerebellar Gray Matter Alterations in Huntington Disease: A Voxel-Based Morphometry Study. Cerebellum 2017; 16:923-928. [DOI: 10.1007/s12311-017-0865-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Santos MCA, Campos LS, Guimarães RP, Piccinin CC, Azevedo PC, Piovesana LG, De Campos BM, Scarparo Amato-Filho AC, Cendes F, D'Abreu A. Does Side of Onset Influence the Pattern of Cerebral Atrophy in Parkinson's Disease? Front Neurol 2016; 7:145. [PMID: 27672378 PMCID: PMC5018632 DOI: 10.3389/fneur.2016.00145] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 08/29/2016] [Indexed: 01/01/2023] Open
Abstract
Background Imaging studies have revealed widespread neurodegeneration in Parkinson’s disease (PD), but only a few considered the issue of asymmetrical clinical presentations. Objective To investigate if the side of onset influences the pattern of gray matter (GM) atrophy in PD. Methods Sixty patients (57.87 ± 10.27 years) diagnosed with idiopathic PD according to the U.K. Brain Bank criteria, 26 with right-sided disease onset (RDO) and 34 with left-sided disease onset (LDO), were compared to 80 healthy controls (HC) (57.1 ± 9.47 years). We acquired T1-weighted images on a 3 T scanner. Images were processed and analyzed with VBM8 (SPM8/Dartel) on Matlab R2012b platform. Statistic assessments included a two-sample test (family-wise error p < 0.05) with extent threshold of 20 voxels. Results Compared to HC, LDO patients had GM atrophy in the insula, putamen, anterior cingulate, frontotemporal cortex, and right caudate, while the RDO group showed atrophy at the anterior cingulate, insula, frontotemporal, and occipital cortex. Conclusion This study revealed widespread GM atrophy in PD, predominantly in the left hemisphere, regardless of the side of onset. Future investigations should also consider handedness and side of onset to better characterize cerebral involvement and its progression in PD.
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Affiliation(s)
- Maria C A Santos
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Lidiane S Campos
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Rachel P Guimarães
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Camila C Piccinin
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Paula C Azevedo
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Luiza G Piovesana
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Brunno Machado De Campos
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | | | - Fernando Cendes
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
| | - Anelyssa D'Abreu
- Neuroimaging Laboratory, Department of Neurology, State University of Campinas - UNICAMP , Campinas , São Paulo, Brazil
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5
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Pinheiro GLS, Guimarães RP, Piovesana LG, Campos BM, Campos LS, Azevedo PC, Torres FR, Amato-Filho AC, França MC, Lopes-Cendes I, Cendes F, D'Abreu A. White Matter Microstructure in Idiopathic Craniocervical Dystonia. Tremor Other Hyperkinet Mov (N Y) 2015; 5. [PMID: 26056610 PMCID: PMC4454992 DOI: 10.7916/d86972h6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 04/28/2015] [Indexed: 12/01/2022]
Abstract
Background Dystonias are hyperkinetic movement disorders characterized by involuntary muscle contractions resulting in abnormal torsional movements and postures. Recent neuroimaging studies in idiopathic craniocervical dystonia (CCD) have uncovered the involvement of multiple areas, including cortical ones. Our goal was to evaluate white matter (WM) microstructure in subjects with CCD using diffusion tensor imaging (DTI) analysis. Methods We compared 40 patients with 40 healthy controls. Patients were then divided into subgroups: cervical dystonia, blepharospasm, blepharospasm + oromandibular dystonia, blepharospasm + oromandibular dystonia + cervical dystonia, using tract-based spatial statistics. We performed a region of interest-based analysis and tractography as confirmatory tests. Results There was no significant difference in the mean fractional anisotropy (FA) and mean diffusivity (MD) between the groups in any analysis. Discussion The lack of DTI changes in CCD suggests that the WM tracts are not primarily affected.
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Affiliation(s)
- Giordanna L S Pinheiro
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Rachel P Guimarães
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Luiza G Piovesana
- Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Brunno M Campos
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Lidiane S Campos
- Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Paula C Azevedo
- Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Fabio R Torres
- Department of Medical Genetics, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Augusto C Amato-Filho
- Department of Radiology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Marcondes C França
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil ; Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Iscia Lopes-Cendes
- Department of Medical Genetics, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Fernando Cendes
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil ; Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Anelyssa D'Abreu
- Neuroimaging Laboratory, School of Medical Sciences, University of Campinas, Campinas, Brazil ; Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
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Campos LS, Guimarães RP, Piovesana LG, Azevedo PCD, Santos LMB, D’Abreu A. Clinical predictors of cognitive impairment and psychiatric complications in Parkinson’s disease. Arq Neuro-Psiquiatr 2015; 73:390-5. [DOI: 10.1590/0004-282x20150016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 12/30/2014] [Indexed: 11/22/2022]
Abstract
Objective To estimate the clinical and demographics aspects that may contribute to cognitive impairment and psychiatric symptoms in Parkinson’s disease (PD). Method All patients answered a structured standardized clinical questionnaire. Two movement disorders specialists performed the following scale: Unified Parkinson’s disease rating score (UPDRS), the modified Hoehn and Yahr staging, Schwab and England Scale, SCOPA cognition (SCOPA-COG), SCOPA-Psychiatric complications (SCOPA-PC) and Non-Motor Symptoms Scale (NMSS). We built a generalized linear model to assess predictors for the SCOPA-COG and SCOPA-PC scores. Results Almost 37% of our patients were demented as per SCOPA-COG scores. Level of education and the UPDRS-Subscale III were predictors of cognitive impairment. Higher scores in domain 3 of NMSS and male gender were associated with psychiatric complications as assessed per the SCOPA-PC. Conclusion Level of education and disease severity are predictors of dementia in PD. Psychiatric complications are more commonly observed in men.
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7
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Piccinin CC, Piovesana LG, Santos MCA, Guimarães RP, De Campos BM, Rezende TJR, Campos LS, Torres FR, Amato-Filho AC, França MC, Lopes-Cendes I, Cendes F, D'Abreu A. Diffuse decreased gray matter in patients with idiopathic craniocervical dystonia: a voxel-based morphometry study. Front Neurol 2015; 5:283. [PMID: 25620953 PMCID: PMC4288053 DOI: 10.3389/fneur.2014.00283] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2014] [Accepted: 12/14/2014] [Indexed: 11/13/2022] Open
Abstract
Background: Recent studies have addressed the role of structures other than the basal ganglia in the pathophysiology of craniocervical dystonia (CCD). Neuroimaging studies have attempted to identify structural abnormalities in CCD but a clear pattern of alteration has not been established. We performed whole-brain evaluation using voxel-based morphometry (VBM) to identify patterns of gray matter (GM) changes in CCD. Methods: We compared 27 patients with CCD matched in age and gender to 54 healthy controls. VBM was used to compare GM volumes. We created a two-sample t-test corrected for subjects’ age, and we tested with a level of significance of p < 0.001 and false discovery rate (FDR) correction (p < 0.05). Results: Voxel-based morphometry demonstrated significant reductions of GM using p < 0.001 in the cerebellar vermis IV/V, bilaterally in the superior frontal gyrus, precuneus, anterior cingulate and paracingulate, insular cortex, lingual gyrus, and calcarine fissure; in the left hemisphere in the supplementary motor area, inferior frontal gyrus, inferior parietal gyrus, temporal pole, supramarginal gyrus, rolandic operculum, hippocampus, middle occipital gyrus, cerebellar lobules IV/V, superior, and middle temporal gyri; in the right hemisphere, the middle cingulate and precentral gyrus. Our study did not report any significant result using the FDR correction. We also detected correlations between GM volume and age, disease duration, duration of botulinum toxin treatment, and the Marsden–Fahn dystonia scale scores. Conclusion: We detected large clusters of GM changes chiefly in structures primarily involved in sensorimotor integration, motor planning, visuospatial function, and emotional processing.
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Affiliation(s)
| | | | - Maria C A Santos
- Neuroimaging Laboratory, University of Campinas , Campinas , Brazil
| | | | | | | | - Lidiane S Campos
- Department of Neurology, University of Campinas , Campinas , Brazil
| | - Fabio R Torres
- Department of Medical Genetics, University of Campinas , Campinas , Brazil
| | | | - Marcondes C França
- Neuroimaging Laboratory, University of Campinas , Campinas , Brazil ; Department of Neurology, University of Campinas , Campinas , Brazil
| | - Iscia Lopes-Cendes
- Department of Medical Genetics, University of Campinas , Campinas , Brazil
| | - Fernando Cendes
- Neuroimaging Laboratory, University of Campinas , Campinas , Brazil ; Department of Neurology, University of Campinas , Campinas , Brazil
| | - Anelyssa D'Abreu
- Neuroimaging Laboratory, University of Campinas , Campinas , Brazil ; Department of Neurology, University of Campinas , Campinas , Brazil
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de Rezende TJR, D'Abreu A, Guimarães RP, Lopes TM, Lopes-Cendes I, Cendes F, Castellano G, França MC. Cerebral cortex involvement in Machado-Joseph disease. Eur J Neurol 2014; 22:277-83, e23-4. [PMID: 25251537 DOI: 10.1111/ene.12559] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 07/25/2014] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Machado-Joseph disease (MJD/SCA3) is the most frequent spinocerebellar ataxia, characterized by brainstem, basal ganglia and cerebellar damage. Few magnetic resonance imaging based studies have investigated damage in the cerebral cortex. The objective was to determine whether patients with MJD/SCA3 have cerebral cortex atrophy, to identify regions more susceptible to damage and to look for the clinical and neuropsychological correlates of such lesions. METHODS Forty-nine patients with MJD/SCA3 (mean age 47.7 ± 13.0 years, 27 men) and 49 matched healthy controls were enrolled. All subjects underwent magnetic resonance imaging scans in a 3 T device, and three-dimensional T1 images were used for volumetric analyses. Measurement of cortical thickness and volume was performed using the FreeSurfer software. Groups were compared using ancova with age, gender and estimated intracranial volume as covariates, and a general linear model was used to assess correlations between atrophy and clinical variables. RESULTS Mean CAG expansion, Scale for Assessment and Rating of Ataxia (SARA) score and age at onset were 72.1 ± 4.2, 14.7 ± 7.3 and 37.5 ± 12.5 years, respectively. The main findings were (i) bilateral paracentral cortex atrophy, as well as the caudal middle frontal gyrus, superior and transverse temporal gyri, and lateral occipital cortex in the left hemisphere and supramarginal gyrus in the right hemisphere; (ii) volumetric reduction of basal ganglia and hippocampi; (iii) a significant correlation between SARA and brainstem and precentral gyrus atrophy. Furthermore, some of the affected cortical regions showed significant correlations with neuropsychological data. CONCLUSIONS Patients with MJD/SCA3 have widespread cortical and subcortical atrophy. These structural findings correlate with clinical manifestations of the disease, which support the concept that cognitive/motor impairment and cerebral damage are related in disease.
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Affiliation(s)
- T J R de Rezende
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil; Department of Cosmic Rays and Chronology, University of Campinas (UNICAMP), Campinas, Brazil
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Piccinin CC, Santos MCA, Piovesana LG, Campos LS, Guimarães RP, Campos BM, Torres FR, França MC, Amato-Filho AC, Lopes-Cendes I, Cendes F, D'Abreu A. Infratentorial gray matter atrophy and excess in primary craniocervical dystonia. Parkinsonism Relat Disord 2013; 20:198-203. [PMID: 24262871 DOI: 10.1016/j.parkreldis.2013.10.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2013] [Revised: 10/08/2013] [Accepted: 10/25/2013] [Indexed: 01/05/2023]
Abstract
BACKGROUND Primary craniocervical dystonia (CCD) is generally attributed to functional abnormalities in the cortico-striato-pallido-thalamocortical loops, but cerebellar pathways have also been implicated in neuroimaging studies. Hence, our purpose was to perform a volumetric evaluation of the infratentorial structures in CCD. METHODS We compared 35 DYT1/DYT6 negative patients with CCD and 35 healthy controls. Cerebellar volume was evaluated using manual volumetry (DISPLAY software) and infratentorial volume by voxel based morphometry of gray matter (GM) segments derived from T1 weighted 3 T MRI using the SUIT tool (SPM8/Dartel). We used t-tests to compare infratentorial volumes between groups. RESULTS Cerebellar volume was (1.14 ± 0.17) × 10(2) cm(3) for controls and (1.13 ± 0.14) × 10(2) cm(3) for patients; p = 0.74. VBM demonstrated GM increase in the left I-IV cerebellar lobules and GM decrease in the left lobules VI and Crus I and in the right lobules VI, Crus I and VIIIb. In a secondary analysis, VBM demonstrated GM increase also in the brainstem, mostly in the pons. CONCLUSION While gray matter increase is observed in the anterior lobe of the cerebellum and in the brainstem, the atrophy is concentrated in the posterior lobe of the cerebellum, demonstrating a differential pattern of infratentorial involvement in CCD. This study shows subtle structural abnormalities of the cerebellum and brainstem in primary CCD.
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Affiliation(s)
- Camila C Piccinin
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil.
| | - Maria C A Santos
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil
| | - Luiza G Piovesana
- Department of Neurology, UNICAMP, University of Campinas, Campinas, Brazil
| | - Lidiane S Campos
- Department of Neurology, UNICAMP, University of Campinas, Campinas, Brazil
| | - Rachel P Guimarães
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil
| | - Brunno M Campos
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil
| | - Fabio R Torres
- Department of Medical Genetics, UNICAMP, University of Campinas, Campinas, Brazil
| | - Marcondes C França
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil; Department of Neurology, UNICAMP, University of Campinas, Campinas, Brazil
| | | | - Iscia Lopes-Cendes
- Department of Medical Genetics, UNICAMP, University of Campinas, Campinas, Brazil
| | - Fernando Cendes
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil; Department of Neurology, UNICAMP, University of Campinas, Campinas, Brazil
| | - Anelyssa D'Abreu
- Neuroimaging Laboratory, UNICAMP, University of Campinas, Campinas, Brazil; Department of Neurology, UNICAMP, University of Campinas, Campinas, Brazil
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Guimarães RP, D'Abreu A, Yasuda CL, França MC, Silva BHB, Cappabianco FAM, Bergo FPG, Lopes-Cendes IT, Cendes F. A multimodal evaluation of microstructural white matter damage in spinocerebellar ataxia type 3. Mov Disord 2013; 28:1125-32. [PMID: 23553599 DOI: 10.1002/mds.25451] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Revised: 02/11/2013] [Accepted: 02/20/2013] [Indexed: 12/13/2022] Open
Abstract
Although white matter damage may play a major role in the pathogenesis of spinocerebellar ataxia 3 (SCA3), available data rely exclusively upon macrostructural analyses. In this setting we designed a study to investigate white matter integrity. We evaluated 38 genetically-confirmed SCA3 patients (mean age, 52.76 ± 12.70 years; 21 males) with clinical scales and brain magnetic resonance imaging (MRI) and 38 healthy subjects as a control group (mean age, 48.86 ± 12.07 years, 20 male). All individuals underwent the same protocol for high-resolution T1 and T2 images and diffusion tensor imaging acquisition (32 directions) in a 3-T scanner. We used Tract-Based Spatial Statistics (FSL 4.1.4) to analyze diffusion data and SPM8/DARTEL for voxel-based morphometry of infratentorial structures. T2-relaxometry of cerebellum was performed with in-house-developed software Aftervoxel and Interactive Volume Segmentation (IVS). Patients' mean age at onset was 40.02 ± 11.48 years and mean duration of disease was 9.3 ± 2.7 years. Mean International Cooperative Ataxia Rating Scale (ICARS) and Scale for Assessment and Rating of Ataxia (SARA) scores were 32.08 ± 4.01 and 14.65 ± 7.33, respectively. Voxel-based morphometry demonstrated a volumetric reduction of gray and white matter in cerebellum and brainstem (P <.001). We found reduced fractional anisotropy (P <.05) in the cerebellum and brainstem. There were also areas of increased radial diffusivity (P <.05) in the cerebellum, brainstem, thalamus, frontal lobes, and temporal lobes. In addition, we found decreased T2-relaxation values in the white matter of the right cerebellar hemisphere. Microstructural white matter dysfunction, not previously reported, occurs in the cerebellum and brainstem of SCA3 patients.
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Affiliation(s)
- Rachel P Guimarães
- Department of Neurology and Neuroimaging Laboratory, Faculty of Medicine, University of Campinas-UNICAMP, Campinas, São Paulo, Brazil
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