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Carvalho de Abreu DC, Pieruccini-Faria F, Son S, Montero-Odasso M, Camicioli R. Is white matter hyperintensity burden associated with cognitive and motor impairment in patients with parkinson's disease? A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 161:105677. [PMID: 38636832 DOI: 10.1016/j.neubiorev.2024.105677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/08/2024] [Accepted: 04/12/2024] [Indexed: 04/20/2024]
Abstract
White matter damage quantified as white matter hyperintensities (WMH) may aggravate cognitive and motor impairments, but whether and how WMH burden impacts these problems in Parkinson's disease (PD) is not fully understood. This study aimed to examine the association between WMH and cognitive and motor performance in PD through a systematic review and meta-analysis. We compared the WMH burden across the cognitive spectrum (cognitively normal, mild cognitive impairment, dementia) in PD including controls. Motor signs were compared in PD with low/negative and high/positive WMH burden. We compared baseline WMH burden of PD who did and did not convert to MCI or dementia. MEDLINE and EMBASE databases were used to conduct the literature search resulting in 50 studies included for data extraction. Increased WMH burden was found in individuals with PD compared with individuals without PD (i.e. control) and across the cognitive spectrum in PD (i.e. PD, PD-MCI, PDD). Individuals with PD with high/positive WMH burden had worse global cognition, executive function, and attention. Similarly, PD with high/positive WMH presented worse motor signs compared with individuals presenting low/negative WMH burden. Only three longitudinal studies were retrieved from our search and they showed that PD who converted to MCI or dementia, did not have significantly higher WMH burden at baseline, although no data was provided on WMH burden changes during the follow up. We conclude, based on cross-sectional studies, that WMH burden appears to increase with PD worse cognitive and motor status in PD.
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Affiliation(s)
- Daniela Cristina Carvalho de Abreu
- Post-doctoral fellow at Gait and Brain Lab, University of Western Ontario, Canada, and Associated Professor of Physiotherapy Course, Department of Health Sciences, Rehabilitation and Functional Performance Program, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
| | - Frederico Pieruccini-Faria
- Deparment of Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, Lawson Health Research Institute, St. Josephs Health Care, Parkwood Institute, Deputy Director of the Gait & Brain Lab, Canada
| | - Surim Son
- Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, Statistician, Departments of Medicine, University of Western Ontario, Canada, Parkwood Institute, Lawson Health Research Institute, Canada
| | - Manuel Montero-Odasso
- Departments of Medicine, and Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, Canada Director of Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, Canada
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Doskas T, Vadikolias K, Ntoskas K, Vavougios GD, Tsiptsios D, Stamati P, Liampas I, Siokas V, Messinis L, Nasios G, Dardiotis E. Neurocognitive Impairment and Social Cognition in Parkinson's Disease Patients. Neurol Int 2024; 16:432-449. [PMID: 38668129 PMCID: PMC11054167 DOI: 10.3390/neurolint16020032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/06/2024] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
In addition to motor symptoms, neurocognitive impairment (NCI) affects patients with prodromal Parkinson's disease (PD). NCI in PD ranges from subjective cognitive complaints to dementia. The purpose of this review is to present the available evidence of NCI in PD and highlight the heterogeneity of NCI phenotypes as well as the range of factors that contribute to NCI onset and progression. A review of publications related to NCI in PD up to March 2023 was performed using PubMed/Medline. There is an interconnection between the neurocognitive and motor symptoms of the disease, suggesting a common underlying pathophysiology as well as an interconnection between NCI and non-motor symptoms, such as mood disorders, which may contribute to confounding NCI. Motor and non-motor symptom evaluation could be used prognostically for NCI onset and progression in combination with imaging, laboratory, and genetic data. Additionally, the implications of NCI on the social cognition of afflicted patients warrant its prompt management. The etiology of NCI onset and its progression in PD is multifactorial and its effects are equally grave as the motor effects. This review highlights the importance of the prompt identification of subjective cognitive complaints in PD patients and NCI management.
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Affiliation(s)
- Triantafyllos Doskas
- Department of Neurology, Athens Naval Hospital, 11521 Athens, Greece;
- Department of Neurology, General University Hospital of Alexandroupoli, 68100 Alexandroupoli, Greece; (K.V.); (D.T.)
| | - Konstantinos Vadikolias
- Department of Neurology, General University Hospital of Alexandroupoli, 68100 Alexandroupoli, Greece; (K.V.); (D.T.)
| | | | - George D. Vavougios
- Department of Neurology, Athens Naval Hospital, 11521 Athens, Greece;
- Department of Neurology, Faculty of Medicine, University of Cyprus, 1678 Lefkosia, Cyprus
- Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larissa, Greece
| | - Dimitrios Tsiptsios
- Department of Neurology, General University Hospital of Alexandroupoli, 68100 Alexandroupoli, Greece; (K.V.); (D.T.)
| | - Polyxeni Stamati
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (P.S.); (I.L.); (V.S.); (E.D.)
| | - Ioannis Liampas
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (P.S.); (I.L.); (V.S.); (E.D.)
| | - Vasileios Siokas
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (P.S.); (I.L.); (V.S.); (E.D.)
| | - Lambros Messinis
- School of Psychology, Laboratory of Neuropsychology and Behavioural Neuroscience, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Grigorios Nasios
- Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece;
| | - Efthimios Dardiotis
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (P.S.); (I.L.); (V.S.); (E.D.)
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Jellinger KA. Pathobiology of Cognitive Impairment in Parkinson Disease: Challenges and Outlooks. Int J Mol Sci 2023; 25:498. [PMID: 38203667 PMCID: PMC10778722 DOI: 10.3390/ijms25010498] [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: 11/23/2023] [Revised: 12/11/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Cognitive impairment (CI) is a characteristic non-motor feature of Parkinson disease (PD) that poses a severe burden on the patients and caregivers, yet relatively little is known about its pathobiology. Cognitive deficits are evident throughout the course of PD, with around 25% of subtle cognitive decline and mild CI (MCI) at the time of diagnosis and up to 83% of patients developing dementia after 20 years. The heterogeneity of cognitive phenotypes suggests that a common neuropathological process, characterized by progressive degeneration of the dopaminergic striatonigral system and of many other neuronal systems, results not only in structural deficits but also extensive changes of functional neuronal network activities and neurotransmitter dysfunctions. Modern neuroimaging studies revealed multilocular cortical and subcortical atrophies and alterations in intrinsic neuronal connectivities. The decreased functional connectivity (FC) of the default mode network (DMN) in the bilateral prefrontal cortex is affected already before the development of clinical CI and in the absence of structural changes. Longitudinal cognitive decline is associated with frontostriatal and limbic affections, white matter microlesions and changes between multiple functional neuronal networks, including thalamo-insular, frontoparietal and attention networks, the cholinergic forebrain and the noradrenergic system. Superimposed Alzheimer-related (and other concomitant) pathologies due to interactions between α-synuclein, tau-protein and β-amyloid contribute to dementia pathogenesis in both PD and dementia with Lewy bodies (DLB). To further elucidate the interaction of the pathomechanisms responsible for CI in PD, well-designed longitudinal clinico-pathological studies are warranted that are supported by fluid and sophisticated imaging biomarkers as a basis for better early diagnosis and future disease-modifying therapies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150 Vienna, Austria
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Güllüoğlu H, Hünerli D, Çakmur R, Çolakoğlu BD, Ada E, Yener G. Structural and Functional Changes in Mild Cognitive Impairment in Parkinson's Disease. MEDICINA (KAUNAS, LITHUANIA) 2023; 60:33. [PMID: 38256295 PMCID: PMC10817693 DOI: 10.3390/medicina60010033] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024]
Abstract
Background and Objectives: The pathophysiology of mild cognitive impairment in Parkinson's disease (PD-MCI) is still not fully elucidated. It has been shown in a few studies in the literature that volume loss in the occipital, parietal and frontal cortices and atrophy in the hippocampus of PD-MCI patients can occur in the early stages of PD. The aim of this study was to evaluate the relationship between gray and white matter volumes and different neuropsychological tests and volumetric magnetic resonance imaging parameters in patients with mild cognitive impairment in Parkinson's disease (PD-MCI). Materials and Methods: Twenty-six PD-MCI and twenty-six healthy elderly (HC) were included in this study. Results: We found that Mini Mental State Examination, Trail Making Test Part A, Clock Drawing Test, Benton Line Judgment Orientation Test and pentagon figure-copying scores were impaired in PD-MCI patients due to the decrease in brain volumes. Conclusions: Our study revealed that among PD-MCI patients, there was a more noticeable decline in White matter volume (WMV) based on volumetric Magnetic Resonance Imaging (MRI) compared to the localized loss of GMV. We think that these abnormal neuropsychological tests in PD-MCI patients can be used as pretests in the evaluation of the stage of transition to dementia.
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Affiliation(s)
- Halil Güllüoğlu
- Department of Neurology, Izmir Ekonomi University Medical Point Hospital, Izmir 35080, Turkey
| | - Duygu Hünerli
- Department of Neuroscience, Dokuz Eylul University Institute Health Sciences, Izmir 35210, Turkey;
| | - Raif Çakmur
- Department of Neurology, Dokuz Eylul University School of Medicine, Izmir 35210, Turkey; (R.Ç.); (B.D.Ç.)
| | - Berril Dönmez Çolakoğlu
- Department of Neurology, Dokuz Eylul University School of Medicine, Izmir 35210, Turkey; (R.Ç.); (B.D.Ç.)
| | - Emel Ada
- Department of Radiology, Dokuz Eylul University School of Medicine, Izmir 35210, Turkey;
| | - Görsev Yener
- Izmir Biomedicine and Genome Center, Izmir 35340, Turkey;
- Department of Neurolohy, Faculty of Medicine, Izmir University of Economics, Izmir 35330, Turkey
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Gan J, Shi Z, Liu S, Li X, Liu Y, Zhu H, Shen L, Zhang G, Lu H, Gang B, Chen Z, Ji Y. White matter hyperintensities in cognitive impairment with Lewy body disease: a multicentre study. Eur J Neurol 2023; 30:3711-3721. [PMID: 37500565 DOI: 10.1111/ene.16002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND AND PURPOSE White matter hyperintensities (WMHs) are associated with cognitive deficits and worse clinical outcomes in dementia, but rare studies have been carried out of cognitive impairment in Lewy body disease (CI-LB) patients. The objective was to investigate the associations between WMHs and clinical manifestations in patients with CI-LB. METHODS In this retrospective multicentre cohort study, 929 patients (486 with dementia with Lewy bodies [DLB], 262 with Parkinson's disease dementia [PDD], 74 with mild cognitive impairment [MCI] with Lewy bodies [MCI-LB] and 107 with Parkinson's disease with MCI [PD-MCI]) were analysed from 22 memory clinics between January 2018 and June 2022. Demographic and clinical data were collected by reviewing medical records. WMHs were semi-quantified according to the Fazekas method. Associations between WMHs and clinical manifestations were investigated by multivariate linear or logistic regression models. RESULTS Dementia with Lewy bodies patients had the highest Fazekas scores compared with PDD, MCI-LB and PD-MCI. Multivariable regressions showed the Fazekas score was positively associated with the scores of Unified Parkinson's Disease Rating Scale Part III (p = 0.001), Hoehn-Yahn stage (p = 0.004) and total Neuropsychiatric Inventory (p = 0.001) in MCI-LB and PD-MCI patients. In patients with DLB and PDD, Fazekas scores were associated with the absence of rapid eye movement sleep behaviour disorder (p = 0.041) and scores of Unified Parkinson's Disease Rating Scale Part III (p < 0.001), Hoehn-Yahn stage (p < 0.001) and the Montreal Cognitive Assessment (p = 0.014). CONCLUSION White matter hyperintensity burden of DLB was higher than for PDD, MCI-LB and PD-MCI. The greater WMH burden was significantly associated with poorer cognitive performance, worse motor function and more severe neuropsychiatric symptoms in CI-LB.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Shuai Liu
- Department of Neurology, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Xudong Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centre for Neurological Diseases, Beijing, China
| | - Yiming Liu
- Department of Neurology, Qilu Hospital, Shandong University, Shandong, China
| | - Hongcan Zhu
- Department of Neurology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Hunan, China
| | - Guili Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centre for Neurological Diseases, Beijing, China
| | - Hao Lu
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Baozhi Gang
- Department of Neurology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhichao Chen
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yong Ji
- Department of Neurology, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
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Xiao Y, Yang T, Zhang L, Wei Q, Ou R, Hou Y, Liu K, Lin J, Jiang Q, Shang H. Association between the blood pressure variability and cognitive decline in Parkinson's disease. Brain Behav 2023; 13:e3319. [PMID: 37969048 PMCID: PMC10726805 DOI: 10.1002/brb3.3319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/17/2023] Open
Abstract
OBJECTIVES High visit-to-visit blood pressure variability (BPV) was found to be associated with cognitive decline in the elderly. This study aimed to investigate the impact of visit-to-visit BPV on cognition in patients with early-stage Parkinson's disease (PD). DESIGN This is a retrospective analysis of a prospective cohort. SETTING AND PARTICIPANTS A total of 297 patients with early-stage PD (103 mild cognitive impairments [PD-MCI] and 194 normal cognitions [PD-NC] at baseline) were included from the Parkinson's Progression Markers Initiative study. METHODS Variation independent of mean (VIM) of the first year was used as the indicator of BPV. The Montreal Cognitive Assessment (MoCA) was used to assess global cognition. Patients were divided into PD-MCI and PD-NC according to the MoCA score at baseline. Longitudinal cerebrospinal fluid (Aβ-42, Aβ, α-synuclein, neurofilament light protein, tau phosphorylated at the threonine 181 position, total tau, glial fibrillary acidic protein) and serum (neurofilament light protein) biomarkers were assessed. The Bayesian linear growth model was used to evaluate the relationship between baseline BPV and the rate of change in cognition and biomarkers. RESULTS Higher systolic VIM of the first year was related to a greater rate of decline in MoCA score in the following years in PD-MCI (β = -.15 [95% CI -.29, -.01]). No association was found between BPV and biomarkers. CONCLUSION AND IMPLICATIONS Higher systolic VIM predicted a steeper decline in cognitive tests in PD-MCI independently from the mean value of blood pressure, orthostatic hypotension, and supine hypertension.
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Affiliation(s)
- Yi Xiao
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Tianmi Yang
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lingyu Zhang
- Health Management CenterWest China Hospital of Sichuan UniversityChengduChina
| | - Qianqian Wei
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Ruwei Ou
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yanbing Hou
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Kuncheng Liu
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Junyu Lin
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Qirui Jiang
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Huifang Shang
- Department of NeurologyRare Disease Center, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for GeriatricWest China Hospital of Sichuan UniversityChengduSichuanChina
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Yang K, Wu Z, Long J, Li W, Wang X, Hu N, Zhao X, Sun T. White matter changes in Parkinson's disease. NPJ Parkinsons Dis 2023; 9:150. [PMID: 37907554 PMCID: PMC10618166 DOI: 10.1038/s41531-023-00592-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 10/17/2023] [Indexed: 11/02/2023] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease (AD). It is characterized by a progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the formation of Lewy bodies (LBs). Although PD is primarily considered a gray matter (GM) disease, alterations in white matter (WM) have gained increasing attention in PD research recently. Here we review evidence collected by magnetic resonance imaging (MRI) techniques which indicate WM abnormalities in PD, and discuss the correlations between WM changes and specific PD symptoms. Then we summarize transcriptome and genome studies showing the changes of oligodendrocyte (OLs)/myelin in PD. We conclude that WM abnormalities caused by the changes of myelin/OLs might be important for PD pathology, which could be potential targets for PD treatment.
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Affiliation(s)
- Kai Yang
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China.
| | - Zhengqi Wu
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Jie Long
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Wenxin Li
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Xi Wang
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Ning Hu
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Xinyue Zhao
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China
| | - Taolei Sun
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China.
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, 122 Luoshi Road, Wuhan, 430070, People's Republic of China.
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Wu H, Hong H, Wu C, Qin J, Zhou C, Tan S, DuanMu X, Guan X, Bai X, Guo T, Wu J, Chen J, Wen J, Cao Z, Gao T, Gu L, Huang P, Xu X, Zhang B, Zhang M. Regional white matter hyperintensity volume in Parkinson's disease and associations with the motor signs. Ann Clin Transl Neurol 2023; 10:1502-1512. [PMID: 37353980 PMCID: PMC10502622 DOI: 10.1002/acn3.51839] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 06/25/2023] Open
Abstract
OBJECTIVE To determine whether white matter hyperintensity (WMH) volumes in specific regions are associated with Parkinson's disease (PD) compared to non-PD controls, and to assess their impact on motor signs through cross-sectional and longitudinal analyses. METHODS A total of 50 PD participants and 47 age- and gender-matched controls were enrolled. All PD participants were followed up for at least 2 years. To detect regions of greater WMH in the PD, the WMH volume of each region was compared with the corresponding region in the control group. Linear regression and linear mixed effects models were respectively used for cross-sectional and longitudinal analyses of the impact of increases in WMH volume on motor signs. RESULTS The PD group had greater WMH volume in the occipital region compared with the control group. Cross-sectional analyses only detected a significant correlation between occipital WMH volume and motor function in PD. Occipital WMH volume positively correlated with the severity of tremor, and gait and posture impairments, in the PD group. During the follow-up period, the participants' motor signs progressed and the WMH volumes remained stable, no longitudinal association was detected between them. The baseline occipital WMH volume cannot predict the progression of signs after adjustment for baseline disease duration and the presence of vascular risk factors. INTERPRETATION PD participants in this study were characterized by greater WMH at the occipital region, and greater occipital WMH volume had cross-sectional associations with worse motor signs, while its longitudinal impact on motor signs progression was limited.
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Affiliation(s)
- Haoting Wu
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Hui Hong
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Chenqing Wu
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Jianmei Qin
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Cheng Zhou
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Sijia Tan
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Xiaojie DuanMu
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Xiaojun Guan
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Xueqin Bai
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Tao Guo
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Jingjing Wu
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Jingwen Chen
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Jiaqi Wen
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Zhengye Cao
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Ting Gao
- Department of NeurologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Luyan Gu
- Department of NeurologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Peiyu Huang
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Xiaojun Xu
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Baorong Zhang
- Department of NeurologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
| | - Minming Zhang
- Department of RadiologyThe Second Affiliated HospitalZhejiang University School of MedicineHangzhou310009China
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Hernadi G, Perlaki G, Kovacs M, Pinter D, Orsi G, Janszky J, Kovacs N. White matter hyperintensities associated with impulse control disorders in Parkinson's Disease. Sci Rep 2023; 13:10594. [PMID: 37391475 PMCID: PMC10313834 DOI: 10.1038/s41598-023-37054-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 06/15/2023] [Indexed: 07/02/2023] Open
Abstract
Impulse control disorders (ICDs) in Parkinson's disease (PD) are increasingly recognized as clinically significant non-motor features that potentially impair the quality of life. White matter hyperintensities (WMHs), detected by magnetic resonance imaging, are frequently observed in PD and can be associated with both motor- and certain non-motor symptoms. Given the limited number of non-motor features studied in this context, our aim was to reveal the potential association between the severity of WMHs and ICDs in PD. Fluid-attenuated inversion recovery magnetic resonance images were retrospectively evaluated in 70 patients with PD (48 males; 59.3 ± 10.1 years). The severity of WMHs was assessed by Fazekas scores and by the volume and number of supratentorial WMHs. ICDs were evaluated using the modified Minnesota Impulsive Disorders Interview. Significant interaction between age and the severity of WMHs was present for ICDs. In our younger patients (< 60.5 years), severity of WMHs was positively associated with ICDs (p = 0.004, p = 0.021, p < 0.001 and p < 0.001, respectively for periventricular white matter and total Fazekas scores and the volume and number of WMHs). Our study supports the hypothesis that WMHs of presumed vascular origin may contribute to ICDs in PD. Future prospective studies are needed to assess the prognostic relevance of this finding.
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Affiliation(s)
| | - Gabor Perlaki
- Pecs Diagnostic Centre, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
| | - Marton Kovacs
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary.
| | - David Pinter
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
| | - Gergely Orsi
- Pecs Diagnostic Centre, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
| | - Jozsef Janszky
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
| | - Norbert Kovacs
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
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Fatokun I, Gee M, Nelles K, Ba F, Dadar M, Duchesne S, Sharma B, Masellis M, Black SE, Almeida QJ, Smith EE, Pieruccini-Faria F, Montero-Odasso M, Camicioli R. Dual-task gait and white matter hyperintensities in Lewy body diseases: An exploratory analysis. Front Aging Neurosci 2023; 15:1088050. [PMID: 37091522 PMCID: PMC10113527 DOI: 10.3389/fnagi.2023.1088050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 03/13/2023] [Indexed: 04/08/2023] Open
Abstract
BackgroundParkinson’s disease (PD) and dementia with Lewy bodies (DLB) are part of a spectrum of Lewy body disorders, who exhibit a range of cognitive and gait impairments. Cognitive-motor interactions can be examined by performing a cognitive task while walking and quantified by a dual task cost (DTC). White matter hyperintensities (WMH) on magnetic resonance imaging have also been associated with both gait and cognition. Our goal was to examine the relationship between DTC and WMH in the Lewy body spectrum, hypothesizing DTC would be associated with increased WMH volume.MethodsSeventy-eight participants with PD, PD with mild cognitive impairment (PD-MCI), PD with dementia or DLB (PDD/DLB), and 20 cognitively unimpaired participants were examined in a multi-site study. Gait was measured on an electronic walkway during usual gait, counting backward, animal fluency, and subtracting sevens. WMH were quantified from magnetic resonance imaging using an automated pipeline and visual rating. A median split based on DTC was performed. Models included age as well as measures of global cognition and cardiovascular risk.ResultsCompared to cognitively unimpaired participants, usual gait speed was lower and DTC was higher in PD-MCI and PDD/DLB. Low DTC participants had higher usual gait speed. WMH burden was greater in high counting DTC participants. Frontal WMH burden remained significant after adjusting for age, cardiovascular risk and global cognition.ConclusionIncreased DTC was associated with higher frontal WMH burden in Lewy body disorders after adjusting for age, cardiovascular risk, and global cognition. Higher DTC was associated with age.
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Affiliation(s)
- Ipinuoluwakiye Fatokun
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
| | - Myrlene Gee
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
| | - Krista Nelles
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
| | - Fang Ba
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada
| | - Mahsa Dadar
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada
| | - Simon Duchesne
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Laval University, Québec City, QC, Canada
- CERVO Brain Research Centre, Québec City, QC, Canada
| | - Breni Sharma
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Mario Masellis
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sandra E. Black
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Quincy J. Almeida
- Movement Disorders Research and Rehabilitation Consortium, Department of Kinesiology and Physical Education, Wilfrid Laurier University, Waterloo, ON, Canada
| | - Eric E. Smith
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Seaman Family MR Research Centre, University of Calgary, Calgary, AB, Canada
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Parkwood Institute Research and Lawson Health Research Institute, London, ON, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, London, ON, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Manuel Montero-Odasso
- Gait and Brain Lab, Parkwood Institute Research and Lawson Health Research Institute, London, ON, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, London, ON, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada
- *Correspondence: Richard Camicioli,
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11
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Zhu Y, Du R, He Z, Pang X, Yu W, Huang X. Assessing the association between white matter lesions and Parkinson's disease. Neurol Sci 2023; 44:897-903. [PMID: 36350453 DOI: 10.1007/s10072-022-06494-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 11/02/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND The association between white matter (WM) lesions and Parkinson's disease (PD) was not fully established. We therefore applied Mendelian randomization (MR) analyses to identify the causal effect between white matter lesions and PD. METHODS We performed a bidirectional two-sample Mendelian randomization (MR) study to investigate the association between three WM phenotypes-white matter hyperintensities (WMH, N = 18,381), fractional anisotropy (FA, N = 17,673), and mean diffusivity (MD, N = 17,467)-with PD (N = 482,730) using summary statistics from genome-wide association studies (GWAS). The inverse variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO methods were used to evaluate the causal estimate. RESULTS Significant evidence was suggested that higher MD was associated with a higher PD risk (OR = 1.049, 95% CI = 1.018-1.081, p = 0.022) when the outlier was removed using MR-PRESSO method. Moreover, genetically predicted PD was associated with a lower WMH load (IVW β = - 0.047, 95% CI = - 0.085 to - 0.009, p = 0.016) and a higher FA (β = 0.185, 95% CI = 0.021-0.349, p = 0.027). No evidence of pleiotropy was found using MR-Egger intercept. CONCLUSION Our findings provided genetic support that white matter microstructural integrity lesions might increase the risk of PD. However, genetically predicted PD was potentially associated with a lower load of white matter lesions.
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Affiliation(s)
- Yahui Zhu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Rongrong Du
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China.,College of Medicine, Nankai University, Tianjin, China
| | - Zhengqing He
- Medical School of Chinese PLA, Beijing, China.,Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xinyuan Pang
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China.,College of Medicine, Nankai University, Tianjin, China
| | - Wenxiu Yu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xusheng Huang
- Medical School of Chinese PLA, Beijing, China. .,Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
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12
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Kuroda T, Ono K, Honma M, Asano M, Mori Y, Futamura A, Yano S, Kanemoto M, Hieda S, Baba Y, Izumizaki M, Murakami H. Cerebral white matter lesions and regional blood flow are associated with reduced cognitive function in early-stage cognitive impairment. Front Aging Neurosci 2023; 15:1126618. [PMID: 36875693 PMCID: PMC9978183 DOI: 10.3389/fnagi.2023.1126618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 02/01/2023] [Indexed: 02/18/2023] Open
Abstract
Background Differences in the extent of cerebral white matter lesions (WML) and regional cerebral blood flow (rCBF) in early-stage cognitive impairment (ESCI) contribute to the prognosis of cognitive decline; however, it is unclear precisely how WML and rCBF affect cognitive decline in ESCI. Objective We examined the association between WML, rCBF, and cognitive impairment in the ESCI, using path analysis to clarify how these variables affect each other. Methods Eighty-three patients who consulted our memory clinic regarding memory loss were included in this study based on the Clinical Dementia Rating. Participants underwent the Mini-Mental State Examination (MMSE), brain magnetic resonance imaging (MRI) for voxel-based morphometry analysis, and brain perfusion single-photon emission computed tomography (SPECT) for rCBF evaluation in cortical regions, using 3D stereotactic surface projection (3D-SSP) analysis. Results Path analysis was performed on the MRI voxel-based morphometry and SPECT 3D-SSP data, showing a significant correlation between both and MMSE scores. In the most suitable model (GFI = 0.957), correlations were observed between lateral ventricular (LV-V) and periventricular WML (PvWML-V) volumes [standardized coefficient (SC) = 0.326, p = 0.005], LV-V and rCBF of the anterior cingulate gyrus (ACG-rCBF; SC = 0.395, p < 0.0001), and ACG-rCBF and PvWML-V (SC = 0.231, p = 0.041). Furthermore, a direct relationship between PvWML-V and MMSE scores was identified (SC = -0.238, p = 0.026). Conclusion Significant interrelationships were observed among the LV-V, PvWML-V, and ACG-rCBF that directly affected the MMSE score in the ESCI. The mechanisms behind these interactions and the impact of PvWML-V on cognitive function require further investigation.
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Affiliation(s)
- Takeshi Kuroda
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Motoyasu Honma
- Department of Physiology, Showa University School of Medicine, Tokyo, Japan
| | - Miki Asano
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Yukiko Mori
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Akinori Futamura
- Department of Neurology, Showa University Fujigaoka Hospital, Kanagawa, Japan
| | - Satoshi Yano
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Mizuki Kanemoto
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Sotaro Hieda
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Yasuhiko Baba
- Department of Neurology, Showa University Fujigaoka Hospital, Kanagawa, Japan
| | - Masahiko Izumizaki
- Department of Physiology, Showa University School of Medicine, Tokyo, Japan
| | - Hidetomo Murakami
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan
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13
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He R, Qin Y, Zhou X, Liu Z, Xu Q, Guo J, Yan X, Tang B, Zeng S, Sun Q. The effect of regional white matter hyperintensities on essential tremor subtypes and severity. Front Aging Neurosci 2022; 14:933093. [PMID: 36325187 PMCID: PMC9621611 DOI: 10.3389/fnagi.2022.933093] [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: 04/30/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022] Open
Abstract
Objectives To investigate the effect of regional white matter hyperintensities (WMHs) on Essential tremor (ET) subtypes and to explore the association between WMHs load and the severity of motor and non-motor symptoms in patients with ET. Methods A cohort of 176 patients with ET (including 86 patients with pure ET and 90 patients with ET plus) and 91 normal controls (NC) was consecutively recruited. Demographic, clinical, and imaging characteristics were compared between individuals with pure ET, ET plus, and NC. The cross-sectional association among regional WMHs and the severity of tremor and non-motor symptoms were assessed within each group. Results Compared with the pure ET subgroup, the ET plus subgroup demonstrated higher TETRAS scores, NMSS scores, and lower MMSE scores (all P < 0.05). Periventricular and lobar WMHs' loads of pure ET subgroup intermediated between NC subjects and ET plus subgroup. WMHs in the frontal horn independently increased the odds of ET (OR = 1.784, P < 0.001). The age (P = 0.021), WMHs in the frontal lobe (P = 0.014), and WMHs in the occipital lobe (P = 0.020) showed a significant impact on TETRAS part II scores in the ET plus subgroup. However, only the disease duration was positively associated with TETRAS part II scores in patients with pure ET (P = 0.028). In terms of non-motor symptoms, NMSS scores of total patients with ET were associated with disease duration (P = 0.029), TETRAS part I scores (P = 0.017), and WMH scores in the frontal lobe (P = 0.033). MMSE scores were associated with age (P = 0.027), body mass index (P = 0.006), education level (P < 0.001), and WMHs in the body of the lateral ventricle (P = 0.005). Conclusion Our results indicated that the WMHs in the frontal horn could lead to an increased risk of developing ET. WMHs may be used to differentiate pure ET and ET plus. Furthermore, WMHs in the frontal and occipital lobes are strong predictors of worse tremor severity in the ET plus subgroup. Regional WMHs are associated with cognitive impairment in patients with ET.
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Affiliation(s)
- Runcheng He
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Qin
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xun Zhou
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhenhua Liu
- 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
| | - Qian Xu
- 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
| | - Jifeng Guo
- 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
| | - Xinxiang Yan
- 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
| | - 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
| | - Sheng Zeng
- Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, China
- Sheng Zeng
| | - Qiying Sun
- Department of Geriatric 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
- *Correspondence: Qiying Sun
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14
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Kent DM, Leung LY, Puttock EJ, Wang AY, Luetmer PH, Kallmes DF, Nelson J, Fu S, Zheng C, Vickery EM, Liu H, Noyce AJ, Chen W. Development of Parkinson Disease and Its Relationship with Incidentally Discovered White Matter Disease and Covert Brain Infarction in a Real-World Cohort. Ann Neurol 2022; 92:620-630. [PMID: 35866711 PMCID: PMC9489676 DOI: 10.1002/ana.26458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE This study aimed to examine the relationship between covert cerebrovascular disease, comprised of covert brain infarction and white matter disease, discovered incidentally in routine care, and subsequent Parkinson disease. METHODS Patients were ≥50 years and received neuroimaging for non-stroke indications in the Kaiser Permanente Southern California system from 2009 to 2019. Natural language processing identified incidentally discovered covert brain infarction and white matter disease and classified white matter disease severity. The Parkinson disease outcome was defined as 2 ICD diagnosis codes. RESULTS 230,062 patients were included (median follow-up 3.72 years). A total of 1,941 Parkinson disease cases were identified (median time-to-event 2.35 years). Natural language processing identified covert cerebrovascular disease in 70,592 (30.7%) patients, 10,622 (4.6%) with covert brain infarction and 65,814 (28.6%) with white matter disease. After adjustment for known risk factors, white matter disease was associated with Parkinson disease (hazard ratio 1.67 [95%CI, 1.44, 1.93] for patients <70 years and 1.33 [1.18, 1.50] for those ≥70 years). Greater severity of white matter disease was associated with increased incidence of Parkinson disease(/1,000 person-years), from 1.52 (1.43, 1.61) in patients without white matter disease to 4.90 (3.86, 6.13) in those with severe disease. Findings were robust when more specific definitions of Parkinson disease were used. Covert brain infarction was not associated with Parkinson disease (adjusted hazard ratio = 1.05 [0.88, 1.24]). INTERPRETATION Incidentally discovered white matter disease was associated with subsequent Parkinson disease, an association strengthened with younger age and increased white matter disease severity. Incidentally discovered covert brain infarction did not appear to be associated with subsequent Parkinson disease. ANN NEUROL 2022;92:620-630.
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Affiliation(s)
- David M. Kent
- Predictive Analytics and Comparative Effectiveness Center,
Tufts Medical Center, Boston, MA, USA
| | - Lester Y. Leung
- Department of Neurology, Tufts Medical Center, Boston, MA,
USA
| | - Eric J. Puttock
- Department of Research and Evaluation, Kaiser Permanente
Southern California, Pasadena, CA, USA
| | - Andy Y. Wang
- Predictive Analytics and Comparative Effectiveness Center,
Tufts Medical Center, Boston, MA, USA
| | | | | | - Jason Nelson
- Predictive Analytics and Comparative Effectiveness Center,
Tufts Medical Center, Boston, MA, USA
| | - Sunyang Fu
- Department of AI and Informatics, Mayo Clinic, Rochester,
MN, USA
| | - Chengyi Zheng
- Department of Research and Evaluation, Kaiser Permanente
Southern California, Pasadena, CA, USA
| | - Ellen M. Vickery
- Predictive Analytics and Comparative Effectiveness Center,
Tufts Medical Center, Boston, MA, USA
| | - Hongfang Liu
- Department of AI and Informatics, Mayo Clinic, Rochester,
MN, USA
| | - Alastair J. Noyce
- Preventive Neurology Unit, Wolfson Institute of Population
Health, Queen Mary University of London, UK
- Department of Clinical and Movement Neuroscience, UCL
Institute of Neurology, London, UK
| | - Wansu Chen
- Department of Research and Evaluation, Kaiser Permanente
Southern California, Pasadena, CA, USA
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15
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White matter hyperintensity distribution differences in aging and neurodegenerative disease cohorts. Neuroimage Clin 2022; 36:103204. [PMID: 36155321 PMCID: PMC9668605 DOI: 10.1016/j.nicl.2022.103204] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are common magnetic resonance imaging (MRI) findings in the aging population in general, as well as in patients with neurodegenerative diseases. They are known to exacerbate the cognitive deficits and worsen the clinical outcomes in the patients. However, it is not well-understood whether there are disease-specific differences in prevalence and distribution of WMHs in different neurodegenerative disorders. METHODS Data included 976 participants with cross-sectional T1-weighted and fluid attenuated inversion recovery (FLAIR) MRIs from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) cohort of the Canadian Consortium on Neurodegeneration in Aging (CCNA) with eleven distinct diagnostic groups: cognitively intact elderly (CIE), subjective cognitive impairment (SCI), mild cognitive impairment (MCI), vascular MCI (V-MCI), Alzheimer's dementia (AD), vascular AD (V-AD), frontotemporal dementia (FTD), Lewy body dementia (LBD), cognitively intact elderly with Parkinson's disease (PD-CIE), cognitively impaired Parkinson's disease (PD-CI), and mixed dementias. WMHs were segmented using a previously validated automated technique. WMH volumes in each lobe and hemisphere were compared against matched CIE individuals, as well as each other, and between men and women. RESULTS All cognitively impaired diagnostic groups had significantly greater overall WMH volumes than the CIE group. Vascular groups (i.e. V-MCI, V-AD, and mixed dementia) had significantly greater WMH volumes than all other groups, except for FTD, which also had significantly greater WMH volumes than all non-vascular groups. Women tended to have lower WMH burden than men in most groups and regions, controlling for age. The left frontal lobe tended to have a lower WMH burden than the right in all groups. In contrast, the right occipital lobe tended to have greater WMH volumes than the left. CONCLUSIONS There were distinct differences in WMH prevalence and distribution across diagnostic groups, sexes, and in terms of asymmetry. WMH burden was significantly greater in all neurodegenerative dementia groups, likely encompassing areas exclusively impacted by neurodegeneration as well as areas related to cerebrovascular disease pathology.
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16
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Camicioli R, Cookson MR. Pathology in the Parkinson's Progression Markers Initiative; a Finale but also a start. Parkinsonism Relat Disord 2022; 101:117-118. [DOI: 10.1016/j.parkreldis.2022.07.015] [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: 11/29/2022]
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17
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Morphological basis of Parkinson disease-associated cognitive impairment: an update. J Neural Transm (Vienna) 2022; 129:977-999. [PMID: 35726096 DOI: 10.1007/s00702-022-02522-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/25/2022] [Indexed: 12/15/2022]
Abstract
Cognitive impairment is one of the most salient non-motor symptoms of Parkinson disease (PD) that poses a significant burden on the patients and carers as well as being a risk factor for early mortality. People with PD show a wide spectrum of cognitive dysfunctions ranging from subjective cognitive decline and mild cognitive impairment (MCI) to frank dementia. The mean frequency of PD with MCI (PD-MCI) is 25.8% and the pooled dementia frequency is 26.3% increasing up to 83% 20 years after diagnosis. A better understanding of the underlying pathological processes will aid in directing disease-specific treatment. Modern neuroimaging studies revealed considerable changes in gray and white matter in PD patients with cognitive impairment, cortical atrophy, hypometabolism, dopamine/cholinergic or other neurotransmitter dysfunction and increased amyloid burden, but multiple mechanism are likely involved. Combined analysis of imaging and fluid markers is the most promising method for identifying PD-MCI and Parkinson disease dementia (PDD). Morphological substrates are a combination of Lewy- and Alzheimer-associated and other concomitant pathologies with aggregation of α-synuclein, amyloid, tau and other pathological proteins in cortical and subcortical regions causing destruction of essential neuronal networks. Significant pathological heterogeneity within PD-MCI reflects deficits in various cognitive domains. This review highlights the essential neuroimaging data and neuropathological changes in PD with cognitive impairment, the amount and topographical distribution of pathological protein aggregates and their pathophysiological relevance. Large-scale clinicopathological correlative studies are warranted to further elucidate the exact neuropathological correlates of cognitive impairment in PD and related synucleinopathies as a basis for early diagnosis and future disease-modifying therapies.
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Narasimhan M, Schwartz R, Halliday G. Parkinsonism and cerebrovascular disease. J Neurol Sci 2021; 433:120011. [PMID: 34686356 DOI: 10.1016/j.jns.2021.120011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 11/27/2022]
Abstract
The relationship between cerebrovascular disease and parkinsonism is commonly seen in everyday clinical practice but remains ill-defined and under-recognised with little guidance for the practising neurologist. We attempt to define this association and to illustrate key clinical, radiological and pathological features of the syndrome of Vascular Parkinsonism (VaP). VaP is a major cause of morbidity in the elderly associated with falls, hip fractures and cognitive impairment. Although acute parkinsonism is reported in the context of an acute cerebrovascular event, the vast majority of VaP presents as an insidious syndrome usually in the context of vascular risk factors and radiological evidence of small vessel disease. There may be an anatomic impact on basal ganglia neuronal networks, however the effect of small vessel disease (SVD) on these pathways is not clear. There are now established reporting standards for radiological features of SVD on MRI. White matter hyperintensities and lacunes have been thought to be the representative radiological features of SVD but other features such as the perivascular space are gaining more importance, especially in context of the glymphatic system. It is important to consider VaP in the differential diagnosis of Parkinson disease (PD) and in these situations, neuroimaging may offer diagnostic benefit especially in those patients with atypical presentations or refractoriness to levodopa. Proactive management of vascular risk factors, monitoring of bone density and an exercise program may offer easily attainable therapeutic targets in PD and VaP. Levodopa therapy should be considered in patients with VaP, however the dose and effect may be different from use in PD. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.
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Affiliation(s)
- Manisha Narasimhan
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
| | - Raymond Schwartz
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Glenda Halliday
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
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