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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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Yang K, Liu L, Wen Y. The impact of Bayesian optimization on feature selection. Sci Rep 2024; 14:3948. [PMID: 38366092 PMCID: PMC10873405 DOI: 10.1038/s41598-024-54515-w] [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: 10/15/2023] [Accepted: 02/13/2024] [Indexed: 02/18/2024] Open
Abstract
Feature selection is an indispensable step for the analysis of high-dimensional molecular data. Despite its importance, consensus is lacking on how to choose the most appropriate feature selection methods, especially when the performance of the feature selection methods itself depends on hyper-parameters. Bayesian optimization has demonstrated its advantages in automatically configuring the settings of hyper-parameters for various models. However, it remains unclear whether Bayesian optimization can benefit feature selection methods. In this research, we conducted extensive simulation studies to compare the performance of various feature selection methods, with a particular focus on the impact of Bayesian optimization on those where hyper-parameters tuning is needed. We further utilized the gene expression data obtained from the Alzheimer's Disease Neuroimaging Initiative to predict various brain imaging-related phenotypes, where various feature selection methods were employed to mine the data. We found through simulation studies that feature selection methods with hyper-parameters tuned using Bayesian optimization often yield better recall rates, and the analysis of transcriptomic data further revealed that Bayesian optimization-guided feature selection can improve the accuracy of disease risk prediction models. In conclusion, Bayesian optimization can facilitate feature selection methods when hyper-parameter tuning is needed and has the potential to substantially benefit downstream tasks.
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Affiliation(s)
- Kaixin Yang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, No 56 Xinjian South Road, Yingze District, Taiyuan, Shanxi, China
| | - Long Liu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, No 56 Xinjian South Road, Yingze District, Taiyuan, Shanxi, China.
| | - Yalu Wen
- Department of Statistics, University of Auckland, 38 Princes Street, Auckland Central, Auckland, 1010, New Zealand.
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3
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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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Obis E, Sol J, Andres-Benito P, Martín-Gari M, Mota-Martorell N, Galo-Licona JD, Piñol-Ripoll G, Portero-Otin M, Ferrer I, Jové M, Pamplona R. Lipidomic Alterations in the Cerebral Cortex and White Matter in Sporadic Alzheimer's Disease. Aging Dis 2023; 14:1887-1916. [PMID: 37196109 PMCID: PMC10529741 DOI: 10.14336/ad.2023.0217] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/17/2023] [Indexed: 05/19/2023] Open
Abstract
Non-targeted LC-MS/MS-based lipidomic analysis was conducted in post-mortem human grey matter frontal cortex area 8 (GM) and white matter of the frontal lobe centrum semi-ovale (WM) to identify lipidome fingerprints in middle-aged individuals with no neurofibrillary tangles and senile plaques, and cases at progressive stages of sporadic Alzheimer's disease (sAD). Complementary data were obtained using RT-qPCR and immunohistochemistry. The results showed that WM presents an adaptive lipid phenotype resistant to lipid peroxidation, characterized by a lower fatty acid unsaturation, peroxidizability index, and higher ether lipid content than the GM. Changes in the lipidomic profile are more marked in the WM than in GM in AD with disease progression. Four functional categories are associated with the different lipid classes affected in sAD: membrane structural composition, bioenergetics, antioxidant protection, and bioactive lipids, with deleterious consequences affecting both neurons and glial cells favoring disease progression.
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Affiliation(s)
- Elia Obis
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Joaquim Sol
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
- Catalan Institute of Health (ICS), Lleida, Spain, Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain.
| | - Pol Andres-Benito
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Madrid, Spain.
- Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), E-08907 Hospitalet de Llobregat, Barcelona, Spain.
| | - Meritxell Martín-Gari
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Natàlia Mota-Martorell
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - José Daniel Galo-Licona
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Clinical Neuroscience Research, Santa Maria University Hospital, IRBLleida, Lleida, Spain.
| | - Manuel Portero-Otin
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Isidro Ferrer
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Madrid, Spain.
- Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), E-08907 Hospitalet de Llobregat, Barcelona, Spain.
- Department of Pathology and Experimental Therapeutics, University of Barcelona, L’Hospitalet de Llobregat, Barcelona, Spain.
| | - Mariona Jové
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Reinald Pamplona
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
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Zhao W, Cheng B, Zhu T, Cui Y, Shen Y, Fu X, Li M, Feng Y, Zhang S. Effects of white matter hyperintensity on cognitive function in PD patients: a meta-analysis. Front Neurol 2023; 14:1203311. [PMID: 37621858 PMCID: PMC10445042 DOI: 10.3389/fneur.2023.1203311] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
Background Parkinson's disease (PD) is often accompanied by cognitive dysfunction, which imposes a heavy burden on patients, their families, and society. Early identification and intervention are particularly important, but reliable biomarkers for identifying PD-related cognitive impairment at an early stage are currently lacking. Although numerous clinical studies have investigated the association between brain white matter hyperintensity (WMH) and cognitive decline, the findings regarding the relationships between WMH and cognitive dysfunction in PD patients have been inconsistent. Therefore, this study aims to conduct a meta-analysis of the effect of WMH on PD cognitive function. Methods This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We systematically searched relevant literature from databases such as PubMed, Web of Science, EMBASE, CNKI, and CBM. The retrieval time was limited to database records created up until December 31, 2022. Additionally, we manually retrieved references for full-text reading. Statistical data analysis was performed using RevMan 5.3 and Stata 15.0 software. Results This study encompassed 23 individual studies and involved 2,429 patients with PD. The group of PD with mild cognitive impairment (PD-MCI) exhibited a significantly higher overall level of WMH than the group of PD with normal cognitive function (PD-NC) (SMD = 0.37, 95% CI: 0.21-0.52, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities (Asian or Caucasian), WMH assessment methods (visual rating scale or volumetry), and age matching. In addition to the overall differences in WMH load between the PD-MCI and PD-NC groups, the study found that specific brain regions, including periventricular white matter hyperintensity (PVH) and deep white matter hyperintensity (DWMH), had significantly higher WMH load in the PD-MCI group compared to the PD-NC group. The study also conducted a meta-analysis of WMH load data for PD with dementia (PDD) and PD without dementia (PDND), revealing that the overall WMH load in the PDD group was significantly higher than that in the PDND group (SMD = 0.98, 95% CI: 0.56-1.41, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities and age matching. Moreover, regarding specific brain regions (PVH or DWMH), the study found that the PDD group had significantly higher WMH load than the PDND group (p < 0.01). Conclusion WMH was associated with PD cognitive dysfunction. The early appearance of WMH may indicate PD with MCI.
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Affiliation(s)
- Wenhao Zhao
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Bo Cheng
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Tao Zhu
- Department of Preventive Medicine, North Sichuan Medical College, Nanchong, China
| | - Yingjuan Cui
- Department of Nursing, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Yao Shen
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Xudong Fu
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Maogeng Li
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Yuliang Feng
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Shushan Zhang
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
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6
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Ferreira D, Przybelski SA, Lesnick TG, Schwarz CG, Diaz-Galvan P, Graff-Radford J, Senjem ML, Fields JA, Knopman DS, Jones DT, Savica R, Ferman TJ, Graff-Radford N, Lowe VJ, Jack CR, Petersen RC, Westman E, Boeve BF, Kantarci K. Cross-sectional Associations of β-Amyloid, Tau, and Cerebrovascular Biomarkers With Neurodegeneration in Probable Dementia With Lewy Bodies. Neurology 2023; 100:e846-e859. [PMID: 36443011 PMCID: PMC9984215 DOI: 10.1212/wnl.0000000000201579] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 10/06/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Although alpha-synuclein-related pathology is the hallmark of dementia with Lewy bodies (DLB), cerebrovascular and Alzheimer disease pathologies are common in patients with DLB. Little is known about the contribution of these pathologies to neurodegeneration in DLB. We investigated associations of cerebrovascular, β-amyloid, and tau biomarkers with gray matter (GM) volume in patients with probable DLB. METHODS We assessed patients with probable DLB and cognitively unimpaired (CU) controls with 11C-Pittsburgh compound B (PiB) and 18F-flortaucipir PET as markers of β-amyloid and tau, respectively. MRI was used to assess white matter hyperintensity (WMH) volume (a marker of cerebrovascular lesion load) and regional GM volume (a marker of neurodegeneration). We used correlations and analysis of covariance (ANCOVA) in the entire cohort and structural equation models (SEMs) in patients with DLB to investigate associations of WMH volume and regional β-amyloid and tau PET standardized uptake value ratios (SUVrs) with regional GM volume. RESULTS We included 30 patients with DLB (69.3 ± 10.2 years, 87% men) and 100 CU controls balanced on age and sex. Compared with CU controls, patients with DLB showed a lower GM volume across all cortical and subcortical regions except for the cuneus, putamen, and pallidum. A larger WMH volume was associated with a lower volume in the medial and orbital frontal cortices, insula, fusiform cortex, and thalamus in patients with DLB. A higher PiB SUVr was associated with a lower volume in the inferior temporal cortex, while flortaucipir SUVr did not correlate with GM volume. SEMs showed that a higher age and absence of the APOE ε4 allele were significant predictors of higher WMH volume, and WMH volume in turn was a significant predictor of GM volume in medial and orbital frontal cortices, insula, and inferior temporal cortex. By contrast, we observed 2 distinct paths for the fusiform cortex, with age having an effect through PiB and flortaucipir SUVr on one path and through WMH volume on the other path. DISCUSSION Patients with probable DLB have widespread cortical atrophy, most of which is likely influenced by alpha-synuclein-related pathology. Although cerebrovascular, β-amyloid, and tau pathologies often coexist in probable DLB, their contributions to neurodegeneration seem to be region specific.
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Affiliation(s)
- Daniel Ferreira
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Scott A Przybelski
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Timothy G Lesnick
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Christopher G Schwarz
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Patricia Diaz-Galvan
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Jonathan Graff-Radford
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Matthew L Senjem
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Julie A Fields
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - David S Knopman
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - David T Jones
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Rodolfo Savica
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Tanis J Ferman
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Neill Graff-Radford
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Val J Lowe
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Clifford R Jack
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Ronald C Petersen
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Eric Westman
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Brad F Boeve
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Kejal Kantarci
- From the Division of Clinical Geriatrics (D.F., P.D.-G., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., C.G.S., P.D.-G., M.L.S., V.J.L., C.R.J., K.K.), Quantitative Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., D.T.J., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
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7
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Toledo JB, Abdelnour C, Weil RS, Ferreira D, Rodriguez-Porcel F, Pilotto A, Wyman-Chick KA, Grothe MJ, Kane JPM, Taylor A, Rongve A, Scholz S, Leverenz JB, Boeve BF, Aarsland D, McKeith IG, Lewis S, Leroi I, Taylor JP. Dementia with Lewy bodies: Impact of co-pathologies and implications for clinical trial design. Alzheimers Dement 2023; 19:318-332. [PMID: 36239924 PMCID: PMC9881193 DOI: 10.1002/alz.12814] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/29/2022] [Accepted: 09/09/2022] [Indexed: 02/01/2023]
Abstract
Dementia with Lewy bodies (DLB) is clinically defined by the presence of visual hallucinations, fluctuations, rapid eye movement (REM) sleep behavioral disorder, and parkinsonism. Neuropathologically, it is characterized by the presence of Lewy pathology. However, neuropathological studies have demonstrated the high prevalence of coexistent Alzheimer's disease, TAR DNA-binding protein 43 (TDP-43), and cerebrovascular pathologic cases. Due to their high prevalence and clinical impact on DLB individuals, clinical trials should account for these co-pathologies in their design and selection and the interpretation of biomarkers values and outcomes. Here we discuss the frequency of the different co-pathologies in DLB and their cross-sectional and longitudinal clinical impact. We then evaluate the utility and possible applications of disease-specific and disease-nonspecific biomarkers and how co-pathologies can impact these biomarkers. We propose a framework for integrating multi-modal biomarker fingerprints and step-wise selection and assessment of DLB individuals for clinical trials, monitoring target engagement, and interpreting outcomes in the setting of co-pathologies.
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Affiliation(s)
- Jon B Toledo
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas, USA
| | - Carla Abdelnour
- Fundació ACE. Barcelona Alzheimer Treatment and Research Center, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Rimona S Weil
- Dementia Research Centre, Wellcome Centre for Human Neuroimaging, Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer's Research, Karolinska Institutet, Stockholm, Sweden
| | | | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, University of Brescia, Parkinson's Disease Rehabilitation Centre, FERB ONLUS-S, Isidoro Hospital, Trescore Balneario (BG), Italy
| | - Kathryn A Wyman-Chick
- HealthPartners Center for Memory and Aging and Struthers Parkinson's Center, Saint Paul, Minnesota, USA
| | - Michel J Grothe
- Instituto de Biomedicina de Sevilla (IBiS), Unidad de Trastornos del Movimiento, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Angela Taylor
- Lewy Body Dementia Association, Lilburn, Georgia, USA
| | - Arvid Rongve
- Department of Research and Innovation, Institute of Clinical Medicine (K1), Haugesund Hospital, Norway and The University of Bergen, Bergen, Norway
| | - Sonja Scholz
- Department of Neurology, National Institute of Neurological Disorders and Stroke, Neurodegenerative Diseases Research Unit, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
| | - James B Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bradley F Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Ian G McKeith
- Newcastle University Translational and Clinical Research Institute (NUTCRI, Newcastle upon Tyne, UK
| | - Simon Lewis
- ForeFront Parkinson's Disease Research Clinic, School of Medical Sciences, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Iracema Leroi
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - John P Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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8
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Gan J, Chen Z, Shi Z, Li X, Liu S, Liu Y, Zhu H, Shen L, Zhang G, You Y, Guo Q, Zhang N, Lv Y, Gang B, Yuan J, Ji Y. Temporal Variation in Disease Onset and Clinical Features of Lewy Body Disease in China. J Alzheimers Dis 2022; 90:1263-1275. [DOI: 10.3233/jad-220657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Lewy body dementia is the second most common neurodegenerative dementia, but data concerning the onset age and clinical features in the prodromal stage remain limited in China. Objective: To investigate the associations between onset age and clinical manifestations of cognitive impairment with Lewy bodies in a large-sample cohort. Methods: We included 74 patients with mild cognitive impairment with Lewy bodies (MCI-LB), 533 patients with dementia with Lewy bodies (DLB), 118 patients with Parkinson’s disease with MCI (PD-MCI), and 313 patients with Parkinson’s disease dementia (PDD) in this multicenter cohort from 22 memory clinics of China from 1 January 2018 to 31 March 2022. The onset age, clinical manifestations, and neuropsychological assessments were recorded and analyzed after reviewing the medical records. Results: The average onset age of memory loss was 68.28 (±7.00) years, and parkinsonism happened 2.00 (±1.24) years later for patients with MCI-LB. The average onset age of parkinsonism was 60.56 (±8.96) years, and the memory loss happened 3.49 (±3.02) years later for patients with PD-MCI. Rapid eye movement sleep behavior disorder and visual hallucinations were frequently reported in MCI-LB, DLB, and PDD, while visual hallucinations were least frequently reported in PD-MCI. Lower scores of MMSE and depression, and higher scores of activities of daily living and delusions, were independently associated with older onset age in DLB. Conclusion: The onset of PD-MCI precedes MCI-LB, and memory loss occurs 3 years after parkinsonism. The onset age is associated with cognition and neuropsychiatric symptoms in process.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Zhichao Chen
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhihong Shi
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Xudong Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Shuai Liu
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Yiming Liu
- Department of Neurology, Qilu Hospital, ShandongUniversity, Shandong, China
| | - Hongcan Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 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 Centerfor Neurological Diseases, Beijing, China
| | - Yong You
- Department of Neurology, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao TongUniversity Affiliated Sixth People’s Hospital, Shanghai, China
| | - Nan Zhang
- Department of Neurology,Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Lv
- Department of Geriatrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Baozhi Gang
- Department of Neurology, The First AffiliatedHospital of Harbin Medical University, Harbin, China
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Beijing, China
| | - Yong Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
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9
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Chen TY, Chan PC, Tsai CF, Wei CY, Chiu PY. White matter hyperintensities in dementia with Lewy bodies are associated with poorer cognitive function and higher dementia stages. Front Aging Neurosci 2022; 14:935652. [PMID: 36092817 PMCID: PMC9459160 DOI: 10.3389/fnagi.2022.935652] [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: 05/04/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose White matter hyperintensities (WMHs) are frequently found in elderly individuals with or without dementia. However, the association between WMHs and clinical presentations of dementia with Lewy bodies (DLB) has rarely been studied. Methods We conducted a retrospective analysis of patients with DLB registered in a dementia database. WMHs were rated visually using the Fazekas scale, and its associated factors including dementia severity, cognitive functions, neuropsychiatric symptoms, and core clinical features were compared among different Fazekas scores. Domains in the Clinical Dementia Rating (CDR), Cognitive abilities Screening Instruments (CASI), and Neuropsychiatric Inventory (NPI) were compared among different Fazekas groups after adjusting for age, sex, education, and disease duration. Results Among the 449 patients, 76, 207, 110, and 56 had Fazekas score of 0, 1, 2, and 3, respectively. There was a positive association between dementia severity and WMHs severity, and the mean sums of boxes of the Clinical Dementia Rating (CDR-SB) were 5.9, 7.8, 9.5, and 11.2 (f = 16.84, p < 0.001) for the Fazekas scale scores 0, 1, 2, and 3, respectively. There was a negative association between cognitive performance and WMHs severity, and the mean CASI were 57.7, 45.4, 4.06, and 33.4 (f = 14.22, p < 0.001) for the Fazekas scale scores 0, 1, 2, and 3, respectively. However, WMHs were not associated with the core clinical features of DLB. After adjustment, all cognitive domains in CDR increased as the Fazekas score increased. In addition, performance on all cognitive domains in CASI decreased as the Fazekas score increased (all p < 0.001). Among neuropsychiatric symptoms, delusions, euphoria, apathy, aberrant motor behavior, and sleep disorders were significantly worse in the higher Fazekas groups compared to those in the group with Fazekas score of 0 after adjustment. Conclusion WMHs in DLB might contribute to deterioration of cognitive function, neuropsychiatric symptoms, and dementia stages. However, core clinical features were not significantly influenced by WMHs in DLB.
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Affiliation(s)
- Tai-Yi Chen
- Department of Radiology, Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Po-Chi Chan
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Ching-Fang Tsai
- Tainan Sin-Lau Hospital, The Presbyterian Church in Taiwan, Tainan, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Pai-Yi Chiu
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan
- Department of Applied Mathematics, Tunghai University, Taichung, Taiwan
- *Correspondence: Pai-Yi Chiu,
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10
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Grey MT, Mitterová K, Gajdoš M, Uher R, Klobušiaková P, Rektorová I, Rektor I. Differential spatial distribution of white matter lesions in Parkinson's and Alzheimer's diseases and cognitive sequelae. J Neural Transm (Vienna) 2022; 129:1023-1030. [PMID: 35819634 DOI: 10.1007/s00702-022-02519-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 05/20/2022] [Indexed: 10/17/2022]
Abstract
White Matter Lesions (WML) are a radiological finding common in aged subjects. We explored the impact of WML on underlying neurodegenerative processes. We focused on the impact of WML on two neurodegenerative diseases with different pathology. In this cross-sectional study of 137 subjects (78 female, 59 men, mean age 67.2; 43-87 years), we compared WML in healthy controls (HC; n = 55), patients with Alzheimer's disease and amnestic Mild Cognitive Impairment (aMCI), and Parkinson's disease patients with normal cognition and with MCI. Subjects with AD and aMCI were treated as one group (n = 40), subjects with PD and PDMCI were another group (n = 42). MRI T2_FLAIR sequences were analyzed. WML were divided into periventricular (pWML) or subcortical (sWML) depending on their distance from the ventricles. Subjects from the AD + aMCI group, had a significantly greater volume of WML than both HC and the PD + PDMCI group. The volume of WML was greater in the PD + PDMCI than in HC but the difference was not significant. In AD + aMCI subjects, sWML and not pWML were related to a decrease in global cognitive functioning despite greater volume of pWML. In PD + PDMCI, pWML correlate with decline in executive functions and working memory. In HC, pWML correlated with the multidomain decrease corresponding with the aging. This points to a difference between normal aging and pathological aging due to AD and PD brain pathology. The WML location together with underlying disease related neurodegeneration may play a role in determining the effect of WML on cognition. Our results suggest that the impact of WML is not uniform in all patients; rather, their volume, location and cognitive effect may be disease-specific.
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Affiliation(s)
- Michael T Grey
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.,First Department of Neurology, St. Anne's Hospital, School of Medicine, Masaryk University, Pekařská, 602 00, Brno, Czech Republic
| | - Kristína Mitterová
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.,First Department of Neurology, St. Anne's Hospital, School of Medicine, Masaryk University, Pekařská, 602 00, Brno, Czech Republic
| | - Martin Gajdoš
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Richard Uher
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Patrícia Klobušiaková
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Irena Rektorová
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.,First Department of Neurology, St. Anne's Hospital, School of Medicine, Masaryk University, Pekařská, 602 00, Brno, Czech Republic
| | - Ivan Rektor
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic. .,First Department of Neurology, St. Anne's Hospital, School of Medicine, Masaryk University, Pekařská, 602 00, Brno, Czech Republic. .,Masaryk University, CEITEC Neuroscience Center and First Department of Neurology, St. Anne's University Hospital, Pekařská 53, 656 91, Brno, Czech Republic.
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11
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Jellinger KA. Are there morphological differences between Parkinson's disease-dementia and dementia with Lewy bodies? Parkinsonism Relat Disord 2022; 100:24-32. [PMID: 35691178 DOI: 10.1016/j.parkreldis.2022.05.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/21/2022] [Accepted: 05/30/2022] [Indexed: 12/17/2022]
Abstract
Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB) are two major neurocognitive disorders in the spectrum of Lewy body diseases that overlap in many clinical and neuropathological features, although they show several differences. Clinically distinguished mainly based on the duration of parkinsonism prior to development of dementia, their morphology is characterized by a variable combination of Lewy body (LB) and Alzheimer's disease (AD) pathologies, the latter usually being more frequent and severe in DLB. OBJECTIVE The aims of the study were to investigate essential neuropathological differences between PDD and DLB in a larger cohort of autopsy cases. METHODS 110 PDD autopsy cases were compared with 78 DLB cases. The major demographic, clinical (duration of illness, final MMSE) and neuropathological data were assessed retrospectively. Neuropathological studies used standardized methods and immunohistochemistry for phospho-tau, β-amyloid (Aß) and α-synuclein, with semiquantitative assessment of the major histological lesions. RESULTS PDD patients were significantly older at death than DLB ones (mean 83.9 vs. 79.8 years), with a significantly longer disease duration (mean 9.2 vs. 6.7 years). Braak LB scores and particularly neuritic Braak stages were significantly higher in the DLB group (mean 5.1and 5.1 vs. 4.2 and 4.4, respectively), as were Thal Aβ phases (mean 4.1 vs. 3.0). Diffuse striatal Aβ plaques were considerable in 55% and moderate in 45% of DLB cases, but were extremely rare in PDD. The most significant differences concerned the frequency and degree of cerebral amyloid angiopathy (CAA), being significantly higher in DLB (98.7 vs. 50%, and mean degree of 2.9 vs. 0.72, respectively). Worse prognosis in DLB than in PDD was linked to both increased Braak neuritic stages and more severe CAA. INTERPRETATION These and other recent studies imply the association of CAA, more severe concomitant AD pathology, and striatal Aβ load with cognitive decline and more rapid disease process that distinguishes DLB from PDD, while the influence of other cerebrovascular diseases or co-pathologies in both disorders was not specifically examined. The importance of both CAA and tau pathology in DLB and much less in PDD supports the concept of a pathogenetic continuum from Parkinson's disease (PD) - > PDD - > DLB - > DLB + AD and subtypes of AD with LB pathology within the spectrum of age-related proteinopathies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Vienna, Austria, Alberichgasse 5/13, A-1150, Vienna, Austria.
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12
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Cani I, Sambati L, Bartiromo F, Asioli GM, Baiardi S, Belotti LMB, Giannini G, Guaraldi P, Quadalti C, Romano L, Lodi R, Parchi P, Cortelli P, Tonon C, Calandra-Buonaura G. Cognitive profile in idiopathic autonomic failure: relation with white matter hyperintensities and neurofilament levels. Ann Clin Transl Neurol 2022; 9:864-876. [PMID: 35582924 PMCID: PMC9186146 DOI: 10.1002/acn3.51567] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/27/2022] [Accepted: 04/17/2022] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE To disclose the nature of cognitive deficits in a cohort of patients with idiopathic autonomic failure (IAF) by exploring the relation among cognitive functions, cardiovascular autonomic failure (AF) and clinical progression to another α-synucleinopathy (phenoconversion). METHODS We retrospectively identified all patients with a clinical diagnosis of IAF who underwent a comprehensive neuropsychological evaluation, clinical examination and cardiovascular autonomic tests from the IAF-BO cohort. Brain magnetic resonance imaging (MRI) studies and cerebrospinal fluid (CSF) analysis, including neurofilament light chain (NfL), Alzheimer disease core biomarkers, and α-synuclein seeding activity were further evaluated when available. Correlations among cognitive functions, clinical features, cardiovascular AF, cerebral white matter hyperintensities (WMH) load, and CSF biomarkers were estimated using Spearman correlation coefficient. RESULTS Thirteen out of 30 (43%) patients with IAF displayed cognitive deficits (CI) mainly concerning executive functioning. Seven out of 30 (23%) met the criteria for mild cognitive impairment (MCI). The diagnosis of CI and MCI was not associated with phenoconversion or autonomic function parameters, including duration and severity of neurogenic orthostatic hypotension, presence and severity of supine hypertension, and nocturnal dipper profile. Twenty patients underwent a brain MRI and CSF analysis. MCI was related to WMH load (r = 0.549) and NfL levels (r = 0.656), while autonomic function parameters were not associated with either WMH or NfL levels. INTERPRETATION Cardiovascular AF and phenoconversion, underlying the spreading of neurodegeneration to the central nervous system, were not independent drivers of cognitive dysfunction in IAF. We identified WMH load and NfL levels as potential biomarkers of the neural network disruption associated with cognitive impairment in patients with IAF.
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Affiliation(s)
- Ilaria Cani
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Luisa Sambati
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Fiorina Bartiromo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Gian Maria Asioli
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Simone Baiardi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy.,Department of Experimental Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Laura M B Belotti
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Giulia Giannini
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Pietro Guaraldi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Corinne Quadalti
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Luciano Romano
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Raffaele Lodi
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy.,Department of Experimental Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Pietro Cortelli
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Caterina Tonon
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
| | - Giovanna Calandra-Buonaura
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura, 3, 40139, Bologna, Italy
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13
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Montaser-Kouhsari L, Young CB, Poston KL. Neuroimaging approaches to cognition in Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:257-286. [PMID: 35248197 DOI: 10.1016/bs.pbr.2022.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
While direct visualization of Lewy body accumulation within the brain is not yet possible in living Parkinson's disease patients, brain imaging studies offer insights into how the buildup of Lewy body pathology impacts different regions of the brain. Unlike biological biomarkers and purely behavioral research, these brain imaging studies therefore offer a unique opportunity to relate brain localization to cognitive function and dysfunction in living patients. Magnetic resonance imaging studies can reveal physical changes in brain structure as they relate to different cognitive domains and task specific impairments. Functional imaging studies use a combination of task and resting state magnetic resonance imaging, as well as positron emission tomography and single photon emission computed tomography, and can be used to determine changes in blood flow, neuronal activation and neurochemical changes in the brain associated with PD cognition and cognitive impairments. Other unique advantages to brain imaging studies are the ability to monitor changes in brain structure and function longitudinally as patients progress and the ability to study changes in brain function when patients are exposed to different pharmacological manipulations. This is particularly true when assessing the effects of dopaminergic replacement therapy on cognitive function in Parkinson's disease patients. Together, this chapter will describe imaging studies that have helped identify structural and functional brain changes associated with cognition, cognitive impairment, and dementia in Parkinson's disease.
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Affiliation(s)
- Leila Montaser-Kouhsari
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States; Department of Neurosurgery, Stanford University, Stanford, CA, United States.
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14
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Zhu H, Lu H, Wang F, Liu S, Shi Z, Gan J, Du X, Yang Y, Li D, Wang L, Ji Y. Characteristics of Cortical Atrophy and White Matter Lesions Between Dementia With Lewy Bodies and Alzheimer's Disease: A Case-Control Study. Front Neurol 2022; 12:779344. [PMID: 35087466 PMCID: PMC8788384 DOI: 10.3389/fneur.2021.779344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/16/2021] [Indexed: 11/21/2022] Open
Abstract
Introduction: Currently, there is still clinical overlap between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) patients, which may affect the accuracy of the early diagnosis of DLB. For better diagnosis and prognosis, further exploration of local cortical atrophy patterns and white matter lesions is needed. Methods: We reviewed the outpatient medical records of 97 DLB patients and 173 AD patients from January 2018 to September 2020 along with 30 matched outpatient clinic normal elderly people. MRI visual rating scales, including medial temporal lobe atrophy (MTA), global cortical atrophy-frontal subscale (GCA-F), posterior atrophy (PA), Fazekas scale, Evans Index and cerebral microbleeds were evaluated and analyzed in DLB and AD patients with different severities and normal controls. Results: Overall, patients with DLB had higher scores on all visual rating scales than the normal controls. Meanwhile, compared with AD, DLB had lower MTA scores in the mild to moderate groups (both p ≤ 0.001), but the GCA-F and PA scores were similar (all p > 0.05). The Fazekas scores in the moderate to severe DLB group were lower than those in the AD group (p = 0.024 and p = 0.027, respectively). In addition, the diagnostic performance and sensitivity of multiple imaging indicators for DLB were better than that of MTA alone (the combination of MTA, GCA-F, PA, Fazekas visual rating scales, AUC = 0.756, 95%CI: 0.700–0.813, sensitivity = 0.647, specificity = 0.804 and MTA visual rating scale, AUC = 0.726, 95%CI: 0.667–0.785, sensitivity = 0.497, specificity = 0.876, respectively). Conclusion: The medial temporal lobe of DLB patients was relatively preserved, the frontal and parietal lobes were similarly atrophied to AD patients, and the white matter hyperintensity was lighter than that in AD patients. Combined multiple visual rating scales may provide a novel idea for the diagnosis of early DLB.
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Affiliation(s)
- Han Zhu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Hao Lu
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Fei Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoshan Du
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yaqi Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Daibin Li
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Lichen Wang
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Yong Ji
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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15
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Abdelnour C, Ferreira D, van de Beek M, Cedres N, Oppedal K, Cavallin L, Blanc F, Bousiges O, Wahlund LO, Pilotto A, Padovani A, Boada M, Pagonabarraga J, Kulisevsky J, Aarsland D, Lemstra AW, Westman E. Parsing heterogeneity within dementia with Lewy bodies using clustering of biological, clinical, and demographic data. Alzheimers Res Ther 2022; 14:14. [PMID: 35063023 PMCID: PMC8783432 DOI: 10.1186/s13195-021-00946-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 12/06/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) includes various core clinical features that result in different phenotypes. In addition, Alzheimer's disease (AD) and cerebrovascular pathologies are common in DLB. All this increases the heterogeneity within DLB and hampers clinical diagnosis. We addressed this heterogeneity by investigating subgroups of patients with similar biological, clinical, and demographic features. METHODS We studied 107 extensively phenotyped DLB patients from the European DLB consortium. Factorial analysis of mixed data (FAMD) was used to identify dimensions in the data, based on sex, age, years of education, disease duration, Mini-Mental State Examination (MMSE), cerebrospinal fluid (CSF) levels of AD biomarkers, core features of DLB, and regional brain atrophy. Subsequently, hierarchical clustering analysis was used to subgroup individuals based on the FAMD dimensions. RESULTS We identified 3 dimensions using FAMD that explained 38% of the variance. Subsequent hierarchical clustering identified 4 clusters. Cluster 1 was characterized by amyloid-β and cerebrovascular pathologies, medial temporal atrophy, and cognitive fluctuations. Cluster 2 had posterior atrophy and showed the lowest frequency of visual hallucinations and cognitive fluctuations and the worst cognitive performance. Cluster 3 had the highest frequency of tau pathology, showed posterior atrophy, and had a low frequency of parkinsonism. Cluster 4 had virtually normal AD biomarkers, the least regional brain atrophy and cerebrovascular pathology, and the highest MMSE scores. CONCLUSIONS This study demonstrates that there are subgroups of DLB patients with different biological, clinical, and demographic characteristics. These findings may have implications in the diagnosis and prognosis of DLB, as well as in the treatment response in clinical trials.
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Affiliation(s)
- Carla Abdelnour
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya-Barcelona, Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
- Department of Medicine of the Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nira Cedres
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Sensory Cognitive Interaction Laboratory (SCI-lab), Stockholm University, Stockholm, Sweden
| | - Ketil Oppedal
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Radiology, Stavanger University Hospital, Stavanger, Norway
- Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | - Lena Cavallin
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology Karolinska University Hospital, Stockholm, Sweden
| | - Frédéric Blanc
- Service, Memory Resources and Research Centre, University Hospital of Strasbourg, Strasbourg, France
- Team IMIS/Neurocrypto, French National Center for Scientific Research, ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg (FMTS), University of Strasbourg, Strasbourg, France
- Centre Mémoire, de Ressources et de Recherche d'Alsace (Strasbourg-Colmar), Strasbourg, France
| | - Olivier Bousiges
- Centre Mémoire, de Ressources et de Recherche d'Alsace (Strasbourg-Colmar), Strasbourg, France
- Laboratory of Biochemistry and Molecular Biology, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives, UMR7364, University Hospital of Strasbourg, Strasbourg, France
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Mercè Boada
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya-Barcelona, Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute (IIB-Sant Pau), Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute (IIB-Sant Pau), Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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16
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Hijazi Z, Yassi N, O'Brien JT, Watson R. The influence of cerebrovascular disease in dementia with Lewy bodies and Parkinson's disease dementia. Eur J Neurol 2021; 29:1254-1265. [PMID: 34923713 DOI: 10.1111/ene.15211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/08/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Lewy body dementia (LBD), including dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), is a common form of neurodegenerative dementia. The frequency and influence of comorbid cerebrovascular disease is not understood but has potentially important clinical management implications. METHODS A systematic literature search was conducted (Medline and Embase) for studies including participants with DLB and/or PDD assessing cerebrovascular lesions (imaging and pathological studies). They included white matter changes, cerebral amyloid angiopathy (CAA), cerebral microbleeds (CMB), macroscopic infarcts, micro-infarcts and intracerebral haemorrhage. RESULTS Of 4411 articles, 63 studies were included. Cerebrovascular lesions commonly studied included white matter changes (41 studies) and CMB (18 studies). There was an increased severity of white matter changes on magnetic resonance imaging (visualized as white matter hyperintensities, WMH), but not neuropathology, in LBD compared to PD without dementia and age-matched controls. CMB prevalence in DLB was highly variable but broadly similar to Alzheimer's disease (AD) (0-48%), with a lobar predominance. No relationship was found between large cortical or small subcortical infarcts or intracerebral haemorrhage and presence of LBD. CONCLUSION The underlying mechanisms of WMH in LBD require further exploration, as their increased severity in LBD was not supported by neuropathological examination of white matter. CMB in LBD had a similar prevalence as AD. There is a need for larger studies assessing the influence of cerebrovascular lesions on clinical symptoms, disease progression and outcomes.
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Affiliation(s)
- Zina Hijazi
- Monash University School of Rural Health, Bendigo Hospital, Bendigo, VIC, Australia.,Department of Medicine, Bendigo Hospital, Bendigo, VIC, Australia
| | - Nawaf Yassi
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Level E4, Box 189, Cambridge, CB2 0QC, UK
| | - Rosie Watson
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
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17
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Martín-Bastida A, Delgado-Alvarado M, Navalpotro-Gómez I, Rodríguez-Oroz MC. Imaging Cognitive Impairment and Impulse Control Disorders in Parkinson's Disease. Front Neurol 2021; 12:733570. [PMID: 34803882 PMCID: PMC8602579 DOI: 10.3389/fneur.2021.733570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/28/2021] [Indexed: 12/04/2022] Open
Abstract
Dementia and mild forms of cognitive impairment as well as neuropsychiatric symptoms (i. e., impulse control disorders) are frequent and disabling non-motor symptoms of Parkinson's disease (PD). The identification of changes in neuroimaging studies for the early diagnosis and monitoring of the cognitive and neuropsychiatric symptoms associated with Parkinson's disease, as well as their pathophysiological understanding, are critical for the development of an optimal therapeutic approach. In the current literature review, we present an update on the latest structural and functional neuroimaging findings, including high magnetic field resonance and radionuclide imaging, assessing cognitive dysfunction and impulse control disorders in PD.
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Affiliation(s)
- Antonio Martín-Bastida
- Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.,CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, Pamplona, Spain
| | | | - Irene Navalpotro-Gómez
- Cognitive Impairment and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain.,Clinical and Biological Research in Neurodegenerative Diseases, Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (IMIM), Barcelona, Spain.,Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - María Cruz Rodríguez-Oroz
- Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.,CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, Pamplona, Spain.,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
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18
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Caso F, Agosta F, Scamarcia PG, Basaia S, Canu E, Magnani G, Volontè MA, Filippi M. A multiparametric MRI study of structural brain damage in dementia with lewy bodies: A comparison with Alzheimer's disease. Parkinsonism Relat Disord 2021; 91:154-161. [PMID: 34628194 DOI: 10.1016/j.parkreldis.2021.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 09/16/2021] [Accepted: 09/28/2021] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Differential diagnosis between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) is crucial for an adequate patients' management but might be challenging. We investigated with advanced MRI techniques gray (GM) and white matter (WM) damage in DLB patients compared to those with AD. METHODS 24 DLB patients, 26 age- and disease severity-matched AD patients, and 20 age and sex-matched controls performed clinical and neuropsychological assessment, and brain structural and diffusion-tensor MRI. We measured GM atrophy using voxel-based morphometry, WM hyperintensities (WMH) using a local thresholding segmentation technique, and normal-appearing WM (NAWM) damage using tract-based spatial statistic. RESULTS DLB and AD patients exhibited mild-to-moderate-stage dementia. Compared to controls, GM damage was diffuse in AD, while limited to bilateral thalamus and temporal regions in DLB. Compared to DLB, AD patients exhibited GM atrophy in bilateral fronto-temporal and occipital regions. DLB and AD patients showed higher WMH load than controls, with no differences among each other. WMH in DLB were diffuse with relative prevalence in posterior parietal-occipital regions. Compared to controls, both DLB and AD patients showed reduced microstructural integrity of the main supratentorial and infratentorial NAWM tracts. AD patients exhibited greater posterior NAWM damage than DLB. CONCLUSIONS DLB showed prominent WM degeneration compared to the limited GM atrophy, while in AD both tissue compartments were severely involved. In DLB, NAWM microstructural degeneration was independent of WMH, thus revealing two possible underlying processes. Different pathophysiological mechanisms are likely to drive GM and WM damage distribution in DLB and AD.
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Affiliation(s)
- Francesca Caso
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Pietro G Scamarcia
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giuseppe Magnani
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
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19
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Ferreira D, Nedelska Z, Graff-Radford J, Przybelski SA, Lesnick TG, Schwarz CG, Botha H, Senjem ML, Fields JA, Knopman DS, Savica R, Ferman TJ, Graff-Radford NR, Lowe VJ, Jack CR, Petersen RC, Lemstra AW, van de Beek M, Barkhof F, Blanc F, Loureiro de Sousa P, Philippi N, Cretin B, Demuynck C, Hort J, Oppedal K, Boeve BF, Aarsland D, Westman E, Kantarci K. Cerebrovascular disease, neurodegeneration, and clinical phenotype in dementia with Lewy bodies. Neurobiol Aging 2021; 105:252-261. [PMID: 34130107 PMCID: PMC8338792 DOI: 10.1016/j.neurobiolaging.2021.04.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 11/29/2022]
Abstract
We investigated whether cerebrovascular disease contributes to neurodegeneration and clinical phenotype in dementia with Lewy bodies (DLB). Regional cortical thickness and subcortical gray matter volumes were estimated from structural magnetic resonance imaging (MRI) in 165 DLB patients. Cortical and subcortical infarcts were recorded and white matter hyperintensities (WMHs) were assessed. Subcortical only infarcts were more frequent (13.3%) than cortical only infarcts (3.1%) or both subcortical and cortical infarcts (2.4%). Infarcts, irrespective of type, were associated with WMHs. A higher WMH volume was associated with thinner orbitofrontal, retrosplenial, and posterior cingulate cortices, smaller thalamus and pallidum, and larger caudate volume. A higher WMH volume was associated with the presence of visual hallucinations and lower global cognitive performance, and tended to be associated with the absence of probable rapid eye movement sleep behavior disorder. Presence of infarcts was associated with the absence of parkinsonism. We conclude that cerebrovascular disease is associated with gray matter neurodegeneration in patients with probable DLB, which may have implications for the multifactorial treatment of probable DLB.
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Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Zuzana Nedelska
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
| | | | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Tanis J Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Afina W Lemstra
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Marleen van de Beek
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands; Queen Square Institute of Neurology, University College London, London, UK
| | - Frederic Blanc
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Paulo Loureiro de Sousa
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Nathalie Philippi
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Benjamin Cretin
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Catherine Demuynck
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Jakub Hort
- Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Ketil Oppedal
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway; Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | | | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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20
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Kuhn T, Becerra S, Duncan J, Spivak N, Dang BH, Habelhah B, Mahdavi KD, Mamoun M, Whitney M, Pereles FS, Bystritsky A, Jordan SE. Translating state-of-the-art brain magnetic resonance imaging (MRI) techniques into clinical practice: multimodal MRI differentiates dementia subtypes in a traditional clinical setting. Quant Imaging Med Surg 2021; 11:4056-4073. [PMID: 34476189 PMCID: PMC8339641 DOI: 10.21037/qims-20-1355] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 04/25/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND This study sought to validate the clinical utility of multimodal magnetic resonance imaging (MRI) techniques in the assessment of neurodegenerative disorders. We intended to demonstrate that advanced neuroimaging techniques commonly used in research can effectively be employed in clinical practice to accurately differentiate heathy aging and dementia subtypes. METHODS Twenty patients with dementia of the Alzheimer's type (DAT) and 18 patients with Parkinson's disease dementia (PDD) were identified using gold-standard techniques. Twenty-three healthy, age and sex matched control participants were also recruited. All participants underwent multimodal MRI including T1 structural, diffusion tensor imaging (DTI), arterial spin labeling (ASL), and magnetic resonance spectroscopy (MRS). MRI modalities were evaluated by trained neuroimaging readers and were separately assessed using cross-validated, iterative discriminant function analyses with subsequent feature reduction techniques. In this way, each modality was evaluated for its ability to differentiate patients with dementia from healthy controls as well as to differentiate dementia subtypes. RESULTS Following individual and group feature reduction, each of the multimodal MRI metrics except MRS successfully differentiated healthy aging from dementia and also demonstrated distinct dementia subtypes. Using the following ten metrics, excellent separation (95.5% accuracy, 92.3% sensitivity; 100.0% specificity) was achieved between healthy aging and neurodegenerative conditions: volume of the left frontal pole, left occipital pole, right posterior superior temporal gyrus, left posterior cingulate gyrus, right planum temporale; perfusion of the left hippocampus and left occipital lobe; fractional anisotropy (FA) of the forceps major and bilateral anterior thalamic radiation. Using volume of the left frontal pole, right posterior superior temporal gyrus, left posterior cingulate gyrus, perfusion of the left hippocampus and left occipital lobe; FA of the forceps major and bilateral anterior thalamic radiation, neurodegenerative subtypes were accurately differentiated as well (87.8% accuracy, 95.2% sensitivity; 85.0% specificity). CONCLUSIONS Regional volumetrics, DTI metrics, and ASL successfully differentiated dementia patients from controls with sufficient sensitivity to differentiate dementia subtypes. Similarly, feature reduction results suggest that advanced analyses can meaningfully identify brain regions with the most positive predictive value and discriminant validity. Together, these advanced neuroimaging techniques can contribute significantly to diagnosis and treatment planning for individual patients.
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Affiliation(s)
- Taylor Kuhn
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Sergio Becerra
- Neurology Management Associates, Los Angeles, California, USA
| | - John Duncan
- Neurology Management Associates, Los Angeles, California, USA
| | - Norman Spivak
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Bianca Huan Dang
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | | | | | | | | | | | - Alexander Bystritsky
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Sheldon E. Jordan
- Neurology Management Associates, Los Angeles, California, USA
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
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21
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Park M, Baik K, Lee YG, Kang SW, Jung JH, Jeong SH, Lee PH, Sohn YH, Ye BS. Implication of Small Vessel Disease MRI Markers in Alzheimer's Disease and Lewy Body Disease. J Alzheimers Dis 2021; 83:545-556. [PMID: 34366356 DOI: 10.3233/jad-210669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Small vessel disease (SVD) magnetic resonance imaging (MRI) markers including deep and periventricular white matter hyperintensities (PWMH), lacunes, and microbleeds are frequently observed in Alzheimer's disease (AD) and Lewy body disease (LBD), but their implication has not been clearly elucidated. OBJECTIVE To investigate the implication of SVD MRI markers in cognitively impaired patients with AD and/or LBD. METHODS We consecutively recruited 57 patients with pure AD-related cognitive impairment (ADCI), 49 with pure LBD-related cognitive impairment (LBCI), 45 with mixed ADCI/LBCI, and 34 controls. All participants underwent neuropsychological tests, brain MRI, and amyloid positron emission tomography. SVD MRI markers including the severity of deep and PWMH and the number of lacunes and microbleeds were visually rated. The relationships among vascular risk factors, SVD MRI markers, ADCI, LBCI, and cognitive scores were investigated after controlling for appropriate covariates. RESULTS LBCI was associated with more severe PWMH, which was conversely associated with an increased risk of LBCI independently of vascular risk factors and ADCI. PWMH was associated with attention and visuospatial dysfunction independently of vascular risk factors, ADCI, and LBCI. Both ADCI and LBCI were associated with more lobar microbleeds, but not with deep microbleeds. CONCLUSION Our findings suggest that PWMH could reflect degenerative process related with LBD, and both AD and LBD independently increase lobar microbleeds.
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Affiliation(s)
- Mincheol Park
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyoungwon Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Ho Jung
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seong Ho Jeong
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
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22
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Porcu M, Cocco L, Cocozza S, Pontillo G, Operamolla A, Defazio G, Suri JS, Brunetti A, Saba L. The association between white matter hyperintensities, cognition and regional neural activity in healthy subjects. Eur J Neurosci 2021; 54:5427-5443. [PMID: 34327745 DOI: 10.1111/ejn.15403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 07/03/2021] [Accepted: 07/24/2021] [Indexed: 11/29/2022]
Abstract
White matter hyperintensities (WMH) are common findings that can be found in physiological ageing. Several studies suggest that the disruption of white matter tracts included in WMH could induce abnormal functioning of the respective linked cortical structures, with consequent repercussion on the cerebral functions, included the cognitive sphere. In this cross-sectional research, we analysed the effects of the total WMH burden (tWMHb) on resting-state functional magnetic resonance imaging (rs-fMRI) and cognition. Functional and structural MR data, as well as the scores of the trail making test subtests A (TMT-A) and B (TMT-B) of 75 healthy patients, were extracted from the public available Leipzig Study for Mind-Body-Emotion Interactions dataset. tWMHb was extracted from structural data. Spearman's correlation analyses were made for investigating correlations between WMHb and the scores of the cognitive tests. The fractional amplitude of low-frequency fluctuations (fALFF) method was applied for analysing the rs-fMRI data, adopting a multiple regression model for studying the effects of tWMHb on brain activity. Three different subanalyses were conducted using different statistical methods. We observed statistically significant correlations between WMHb and the scores of the cognitive tests. The fALFF analysis revealed that tWMHb is associated with the reduction of regional neural activity of several brain areas (in particular the prefrontal cortex, precuneus and cerebellar crus I/II). We conclude that our findings clarify better the relationships between WMH and cognitive impairment, evidencing that tWMHb is associated with impairments of the neurocognitive function in healthy subjects by inducing a diffuse reduction of the neural activity.
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Affiliation(s)
- Michele Porcu
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
| | - Luigi Cocco
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
| | - Sirio Cocozza
- Department of Neuroradiology, University of Napoli "Federico II", Napoli, Italy
| | - Giuseppe Pontillo
- Department of Neuroradiology, University of Napoli "Federico II", Napoli, Italy
| | | | - Giovanni Defazio
- Department of Neurology, University of Cagliari, Cagliari, Italy
| | - Jasjit S Suri
- Stroke Diagnosis and Monitoring Division, AtheroPoint™, Roseville, California, USA
| | - Arturo Brunetti
- Department of Neuroradiology, University of Napoli "Federico II", Napoli, Italy
| | - Luca Saba
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
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23
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Liu H, Deng B, Xie F, Yang X, Xie Z, Chen Y, Yang Z, Huang X, Zhu S, Wang Q. The influence of white matter hyperintensity on cognitive impairment in Parkinson's disease. Ann Clin Transl Neurol 2021; 8:1917-1934. [PMID: 34310081 PMCID: PMC8419402 DOI: 10.1002/acn3.51429] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/05/2021] [Accepted: 07/02/2021] [Indexed: 01/11/2023] Open
Abstract
The aim of this meta‐analysis was to review systematically and to identify the relationship between the severity and location of white matter hyperintensities (WMHs) and the degree of cognitive decline in patients with Parkinson’s disease (PD). We searched the PubMed, EMBASE, Web of Science, Ovid, and Cochrane Library databases for clinical trials of the severity and location of WMHs on the degree of cognitive impairment in PD through October 2020. We conducted the survey to compare the association of WMH burden in patients with PD with mild cognitive impairment (PD‐MCI) versus those with normal cognition (PD‐NC) and in patients with PD with dementia (PDD) versus those with PD without dementia (PD‐ND). Nine studies with PD‐MCI versus PD‐NC and 10 studies with PDD versus PD‐ND comparisons were included. The WMH burden in PD‐MCI patients was significantly different compared to that in PD‐NC patients (standard mean difference, SMD = 0.39, 95% CI: 0.12 to 0.66, p = 0.005), while there was no correlation shown in the age‐matched subgroup of the comparison. In addition, PDD patients had a significantly higher burden of WMHs (SMD = 0.8, 95% CI: 0.44 to 1.71, p < 0.0001), especially deep white matter hyperintensities (SMD = 0.54, 95% CI: 0.36 to 0.73, p < 0.00001) and periventricular hyperintensities (SMD = 0.70, 95% CI: 0.36 to 1.04, p < 0.0001), than PD‐NC patients, regardless of the adjustment of age. WMHs might be imaging markers for cognitive impairment in PDD but not in PD‐MCI, regardless of age, vascular risk factors, or race. Further prospective studies are needed to validate the conclusions.
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Affiliation(s)
- Hailing Liu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China.,Department of Neurology, Maoming People's Hospital, Maoming, Guangdong, China
| | - Bin Deng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Fen Xie
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Xiaohua Yang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Zhenchao Xie
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Yonghua Chen
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Zhi Yang
- Department of Neurology, Maoming People's Hospital, Maoming, Guangdong, China
| | - Xiyan Huang
- Department of Rehabilitation, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Shuzhen Zhu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, 510282, P.R. China
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24
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Update on neuroimaging in non-Alzheimer's disease dementia: a focus on the Lewy body disease spectrum. Curr Opin Neurol 2021; 34:532-538. [PMID: 34227573 DOI: 10.1097/wco.0000000000000958] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE OF REVIEW An accurate differential diagnosis between Alzheimer's disease (AD) and non-AD dementia is of paramount importance to study disease mechanisms, define prognosis, and select patients for disease-specific treatments. The purpose of the present review is to describe the most recent neuroimaging studies in Lewy body disease spectrum (LBDS), focusing on differences with AD. RECENT FINDINGS Different neuroimaging methods are used to investigate patterns of alterations, which can be helpful to distinguish LBDS from AD. Positron emission tomography radiotracers and advanced MRI structural and functional methods discriminate these two conditions with increasing accuracy. Prodromal disease stages can be identified, allowing an increasingly earlier diagnosis. SUMMARY Neuroimaging biomarkers can aid in obtaining the best diagnostic accuracy in LBDS. Despite the main role of neuroimaging in clinical setting is to exclude secondary causes of dementia, structural and metabolic imaging techniques give an essential help to study in-vivo pathophysiological mechanisms of diseases. The importance of neuroimaging in LBDS is given by the increasing number of imaging biomarker developed and studied in the last years.
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25
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Butt A, Kamtchum-Tatuene J, Khan K, Shuaib A, Jickling GC, Miyasaki JM, Smith EE, Camicioli R. White matter hyperintensities in patients with Parkinson's disease: A systematic review and meta-analysis. J Neurol Sci 2021; 426:117481. [PMID: 33975191 DOI: 10.1016/j.jns.2021.117481] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/25/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Mechanisms driving neurodegeneration in Parkinson's disease (PD) are unclear and neurovascular dysfunction may be a contributing factor. White matter hyperintensities (WMH) are commonly found on brain MRI in patients with PD. It is controversial if they are more prevalent or more severe in PD compared with controls. This systematic review aims to answer this question. METHODS A systematic search of electronic databases was conducted for studies of WMH in patients with PD. A qualitative synthesis was done for studies reporting WMH prevalence or WMH scores on a visual rating scale (VRS). In studies reporting total WMH volume, the difference between patients with PD and controls was pooled using random effects meta-analysis. RESULTS Among 3860 subjects from 24 studies, 2360 were cases and 1500 controls. Fifteen studies reported WMH scores and four studies reported the prevalence of WMH. On VRS, five studies reported no difference in WMH scores, three found higher WMH scores in PD compared to controls, three reported increased WMH scores either in periventricular or deep white matter, and four reported higher scores only in PD with dementia. In studies reporting WMH volume, there was no difference between patients with PD and controls (pooled standardized mean difference = 0.1, 95%CI: -0.1-0.4, I2 = 81%). CONCLUSION WMH are not more prevalent or severe in patients with PD than in age-matched controls. PD dementia may have more severe WMH compared to controls and PD with normal cognition. Prospective studies using standardized methods of WMH assessment are needed.
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Affiliation(s)
- Asif Butt
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada.
| | - Joseph Kamtchum-Tatuene
- Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Khurshid Khan
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Ashfaq Shuaib
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Glen C Jickling
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Janis M Miyasaki
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
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26
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Jellinger KA. Significance of cerebral amyloid angiopathy and other co-morbidities in Lewy body diseases. J Neural Transm (Vienna) 2021; 128:687-699. [PMID: 33928445 DOI: 10.1007/s00702-021-02345-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/22/2021] [Indexed: 01/12/2023]
Abstract
Lewy body dementia (LBD) and Parkinson's disease-dementia (PDD) are two major neurocognitive disorders with Lewy bodies (LB) of unknown etiology. There is considerable clinical and pathological overlap between these two conditions that are clinically distinguished based on the duration of Parkinsonism prior to development of dementia. Their morphology is characterized by a variable combination of LB and Alzheimer's disease (AD) pathologies. Cerebral amyloid angiopathy (CAA), very common in aged persons and particularly in AD, is increasingly recognized for its association with both pathologies and dementia. To investigate neuropathological differences between LB diseases with and without dementia, 110 PDD and 60 LBD cases were compared with 60 Parkinson's disease (PD) cases without dementia (PDND). The major demographic and neuropathological data were assessed retrospectively. PDD patients were significantly older than PDND ones (83.9 vs 77.8 years; p < 0.05); the age of LB patients was in between both groups (mean 80.2 years), while the duration of disease was LBD < PDD < PDND (mean 6.7 vs 12.5 and 14.3 years). LBD patients had higher neuritic Braak stages (mean 5.1 vs 4.5 and 4.0, respectively), LB scores (mean 5.3 vs 4.2 and 4.0, respectively), and Thal amyloid phases (mean 4.1 vs 3.0 and 2.3, respectively) than the two other groups. CAA was more common in LBD than in the PDD and PDND groups (93 vs 50 and 21.7%, respectively). Its severity was significantly greater in LBD than in PDD and PDND (p < 0.01), involving mainly the occipital lobes. Moreover, striatal Aβ deposition highly differentiated LBD brains from PDD. Braak neurofibrillary tangle (NFT) stages, CAA, and less Thal Aβ phases were positively correlated with LB pathology (p < 0.05), which was significantly higher in LBD than in PDD < PDND. Survival analysis showed worse prognosis in LBD than in PDD (and PDND), which was linked to both increased Braak tau stages and more severe CAA. These and other recent studies imply the association of CAA-and both tau and LB pathologies-with cognitive decline and more rapid disease progression that distinguishes LBD from PDD (and PDND).
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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27
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Gan J, Liu S, Wang X, Shi Z, Shen L, Li X, Guo Q, Yuan J, Zhang N, You Y, Lv Y, Zheng D, Ji Y. Clinical characteristics of Lewy body dementia in Chinese memory clinics. BMC Neurol 2021; 21:144. [PMID: 33789600 PMCID: PMC8010972 DOI: 10.1186/s12883-021-02169-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 03/11/2021] [Indexed: 12/11/2022] Open
Abstract
Background Lewy body dementia (LBD), consisting of dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD), is the second most common type of neurodegenerative dementia in older people. The current study aimed to investigate the clinical characteristics of LBD in Chinese memory clinics. Methods A total of 8405 dementia medical records were reviewed, revealing 455 patients with LBD. Demographic data, neuropsychological scores, and the scale for Medial Temporal lobe Atrophy (MTA) were then analyzed from nine memory clinics in the China Lewy Body Disease Collaborative Alliance. Results The clinical proportion of LBD among the subjects and among all dementia types was 5.4% (4.9–5.9%) and 7.3% (6.7–8.0%), respectively, with a mean onset age of 68.6 ± 8.4 years. Patients with DLB comprised 5.6% (n = 348, age of onset 69.1 ± 8.3), while PDD comprised 1.7% (n = 107, age of onset 66.7 ± 8.8) of all dementia cases. There were slightly more males than females with DLB (n = 177, 50.9%) and PDD (n = 62, 57.9%). Patients with DLB had a poorer performance compared to those with PDD on the MMSE (16.8 ± 7.1 vs. 19.5 ± 5.7, p = 0.001), the MoCA (11.4 ± 6.6 vs. 14.0 ± 5.8, p<0.001), the CDR (1.8 ± 0.7 vs. 1.6 ± 0.7, p = 0.002), and the MTA (1.8 ± 0.7 vs. 1.2 ± 0.6, p = 0.002). Diagnostic differences for LBD exist among the centers; their reported proportions of those with DLB ranged from 0.7 to 11.4 and those with PDD ranged from 0.0 to 2.9%. Conclusions Variations of diagnoses exists in different regions and the clinical proportion of LBD is likely to be underestimated in China and other regions.
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Affiliation(s)
- Jinghuan Gan
- Department of neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Xiaodan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xudong Li
- Department of neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Junliang Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Nan Zhang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yong You
- Department of Neurology, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yang Lv
- Department of Geriatrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dongming Zheng
- Department of Neurology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China
| | - Yong Ji
- Department of neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China. .,Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.
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28
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Liu B, Zhao G, Jin L, Shi J. Association of Static Posturography With Severity of White Matter Hyperintensities. Front Neurol 2021; 12:579281. [PMID: 33643184 PMCID: PMC7905220 DOI: 10.3389/fneur.2021.579281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Impaired gait and balance are associated with severity of leukoaraiosis. Evaluation of balance is based on neurological examination using Romberg's test with bipedal standing, assessment scale, and posturographic parameters. The goal of this study was to determine the relationship between static equilibrium and grades of white matter hyperintensities (WMHs) using static posturography as a quantitative technical method. Method: One hundred and eighteen (118) patients with lacunar infarct were recruited and assessed on MRI with Fazekas's grading scale into four groups. On admission, age, gender, height, weight, Berg Balance Scale (BBS), mini-mental state examination (MMSE), and static posturography parameters were recorded, and their correlations with WMHs were determined. Results: Age was significantly and positively correlated with severity of WMHs (r = 0.39, p < 0.05). WMH score was negatively correlated with BBS score (r = −0.65, p < 0.05) and MMSE score (r = −0.79, p < 0.05). There was a significant positive correlation between track length anteroposterior (AP, with eyes closed) and severity of WMHs (r = 0.70, p < 0.05). Partial correlation analysis and multiple logistic regression analysis indicated that track length AP with eyes closed, was a predictor for the severity of WMHs (p< 0.05). Conclusion: The severity of WHMs is associated with age, cognitive decline, and impairment in balance. Posturography parameter in track length in AP direction with eyes closed in relation to cognition and balance, may be a potential marker for disease progression in WMHs.
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Affiliation(s)
- Bin Liu
- Department of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Guifeng Zhao
- Department Key Laboratory of Research and Application of Animal Models for Environmental and Metabolic Diseases, Sheng Jing Hospital of China Medical University, Shenyang, China
| | - Ling Jin
- Department of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
| | - Jingping Shi
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China
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Orad RI, Shiner T. Differentiating dementia with Lewy bodies from Alzheimer's disease and Parkinson's disease dementia: an update on imaging modalities. J Neurol 2021; 269:639-653. [PMID: 33511432 DOI: 10.1007/s00415-021-10402-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 12/16/2022]
Abstract
Dementia with Lewy bodies is the second most common cause of neurodegenerative dementia after Alzheimer's disease. Dementia with Lewy bodies can provide a diagnostic challenge due to the frequent overlap of clinical signs with other neurodegenerative conditions, namely Parkinson's disease dementia, and Alzheimer's disease. Part of this clinical overlap is due to the neuropathological overlap. Dementia with Lewy bodies is characterized by the accumulation of aggregated α-synuclein protein in Lewy bodies, similar to Parkinson's disease and Parkinson's disease dementia. However, it is also frequently accompanied by aggregation of amyloid-beta and tau, the pathological hallmarks of Alzheimer's disease. Neuroimaging is central to the diagnostic process. This review is an overview of both established and evolving imaging methods that can improve diagnostic accuracy and improve management of this disorder.
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Affiliation(s)
- Rotem Iris Orad
- Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, 6, Weismann St, Tel Aviv, Israel. .,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Tamara Shiner
- Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, 6, Weismann St, Tel Aviv, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
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30
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Prevalence and Associated Factors of Visual Hallucinations in Patients with Vascular Cognitive Impairment. Behav Neurol 2021; 2021:8866763. [PMID: 33505534 PMCID: PMC7814946 DOI: 10.1155/2021/8866763] [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: 09/02/2020] [Revised: 12/16/2020] [Accepted: 12/30/2020] [Indexed: 11/18/2022] Open
Abstract
Visual hallucinations (VHs) are striking features for dementia, especially dementia with Lewy bodies (DLB). We aimed to study the frequency and associated factors of VH in vascular cognitive impairment (VCI) and investigate the feasibility of clinically diagnosing the mixed pathology of VCI with DLB. This is a multicentre registration study. A consecutive series of VCI patients with and without dementia were enrolled. Frequency of VH and associated factors, including age, gender, education, disease severity, DLB clinical features, vascular risk factors, cognitive function, and neuropsychiatric symptoms, were compared between VCI with VH (VH+) and without VH (VH-). Among the 1281 patients analysed, 155 (12.1%) had VH. The VH+ group was older (t = 5.07; p < 0.001), was more likely to be female (χ 2 = 13.46; p < 0.001), and has a higher clinical dementia rating (χ 2 = 70.51; p < 0.001). After adjusting for age, gender, and disease severity, the VH+ group had poorer cognition and more severe neuropsychiatric symptoms. The VH+ group was more associated with DLB features in fluctuating cognition (OR = 2.48; p < 0.001), parkinsonism (OR = 1.85; p = 0.001), rapid eye movement (REM) behavioral disorder (OR = 4.56; p < 0.001), and ≧2 DLB core features (OR = 26.01; p < 0.001). VCI patients with VH tend to have more severe dementia, neuropsychiatric symptoms, and poorer cognitive function. Additionally, highly associated with clinical DLB features in VCI with VH raised the possibility of mixed pathology with DLB in this group. More than two core features in VCI might help in diagnosing a mixed pathology with DLB.
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31
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Saeed U, Lang AE, Masellis M. Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes. Front Neurol 2020; 11:572976. [PMID: 33178113 PMCID: PMC7593544 DOI: 10.3389/fneur.2020.572976] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/02/2020] [Indexed: 12/11/2022] Open
Abstract
Parkinson's disease (PD) and atypical Parkinsonian syndromes are progressive heterogeneous neurodegenerative diseases that share clinical characteristic of parkinsonism as a common feature, but are considered distinct clinicopathological disorders. Based on the predominant protein aggregates observed within the brain, these disorders are categorized as, (1) α-synucleinopathies, which include PD and other Lewy body spectrum disorders as well as multiple system atrophy, and (2) tauopathies, which comprise progressive supranuclear palsy and corticobasal degeneration. Although, great strides have been made in neurodegenerative disease research since the first medical description of PD in 1817 by James Parkinson, these disorders remain a major diagnostic and treatment challenge. A valid diagnosis at early disease stages is of paramount importance, as it can help accommodate differential prognostic and disease management approaches, enable the elucidation of reliable clinicopathological relationships ideally at prodromal stages, as well as facilitate the evaluation of novel therapeutics in clinical trials. However, the pursuit for early diagnosis in PD and atypical Parkinsonian syndromes is hindered by substantial clinical and pathological heterogeneity, which can influence disease presentation and progression. Therefore, reliable neuroimaging biomarkers are required in order to enhance diagnostic certainty and ensure more informed diagnostic decisions. In this article, an updated presentation of well-established and emerging neuroimaging biomarkers are reviewed from the following modalities: (1) structural magnetic resonance imaging (MRI), (2) diffusion-weighted and diffusion tensor MRI, (3) resting-state and task-based functional MRI, (4) proton magnetic resonance spectroscopy, (5) transcranial B-mode sonography for measuring substantia nigra and lentiform nucleus echogenicity, (6) single photon emission computed tomography for assessing the dopaminergic system and cerebral perfusion, and (7) positron emission tomography for quantifying nigrostriatal functions, glucose metabolism, amyloid, tau and α-synuclein molecular imaging, as well as neuroinflammation. Multiple biomarkers obtained from different neuroimaging modalities can provide distinct yet corroborative information on the underlying neurodegenerative processes. This integrative "multimodal approach" may prove superior to single modality-based methods. Indeed, owing to the international, multi-centered, collaborative research initiatives as well as refinements in neuroimaging technology that are currently underway, the upcoming decades will mark a pivotal and exciting era of further advancements in this field of neuroscience.
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Affiliation(s)
- Usman Saeed
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Anthony E Lang
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Center, Toronto, ON, Canada.,Cognitive and Movement Disorders Clinic, Sunnybrook Health Sciences Center, Toronto, ON, Canada
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32
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Donaghy PC, Firbank M, Petrides G, Lloyd J, Barnett N, Olsen K, Thomas AJ, O'Brien JT. Diffusion imaging in dementia with Lewy bodies: Associations with amyloid burden, atrophy, vascular factors and clinical features. Parkinsonism Relat Disord 2020; 78:109-115. [PMID: 32814228 DOI: 10.1016/j.parkreldis.2020.07.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 07/03/2020] [Accepted: 07/25/2020] [Indexed: 01/08/2023]
Abstract
INTRODUCTION White matter disruption in dementia has been linked to a variety of factors including vascular disease and cortical pathology. We aimed to examine the relationship between white matter changes on diffusion tensor imaging (DTI) in DLB and factors including vascular disease, structural atrophy and amyloid burden. METHODS Participants with DLB (n = 29), Alzheimer's disease (AD, n = 17) and healthy controls (n = 20) had clinical and neuropsychological assessments followed by structural and diffusion tensor 3T MRI and 18F-Florbetapir PET-CT imaging. Voxelwise statistical analysis of white matter fractional anisotropy (FA) and mean diffusivity (MD) was carried out using Tract-Based Spatial Statistics with family-wise error correction (p < 0.05). RESULTS DLB and AD groups demonstrated widespread increased MD and decreased FA when compared with controls. There were no differences between the DLB and AD groups. In DLB, increased MD and decreased FA correlated with decreased grey matter and hippocampal volumes as well as vascular disease. There was no correlation with cortical florbetapir SUVR. The relationship between DTI changes and grey matter/hippocampal volumes remained after including Cumulative Illness Rating Scale-Geriatric vascular score as a covariate. CONCLUSIONS Widespread disruption of white matter tracts is present in DLB and is associated with vascular disease, reduced hippocampal volume and reduced grey matter volume, but not with cortical amyloid deposition. The mechanism behind the correlation observed between hippocampal volume and white matter tract disruption should be investigated in future cohorts using tau imaging, as hippocampal atrophy has been shown to correlate with tau deposition in DLB.
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Affiliation(s)
- Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, UK.
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, UK
| | - George Petrides
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK
| | - Jim Lloyd
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Kirsty Olsen
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, UK
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Ferrer I, Andrés-Benito P. White matter alterations in Alzheimer's disease without concomitant pathologies. Neuropathol Appl Neurobiol 2020; 46:654-672. [PMID: 32255227 PMCID: PMC7754505 DOI: 10.1111/nan.12618] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/23/2020] [Indexed: 12/14/2022]
Abstract
Aims Most individuals with AD neuropathological changes have co‐morbidities which have an impact on the integrity of the WM. This study analyses oligodendrocyte and myelin markers in the frontal WM in a series of AD cases without clinical or pathological co‐morbidities. Methods From a consecutive autopsy series, 206 cases had neuropathological changes of AD; among them, only 33 were AD without co‐morbidities. WM alterations were first evaluated in coronal sections of the frontal lobe in every case. Then, RT‐qPCR and immunohistochemistry were carried out in the frontal WM of AD cases without co‐morbidities to analyse the expression of selected oligodendrocyte and myelin markers. Results WM demyelination was more marked in AD with co‐morbidities when compared with AD cases without co‐morbidities. Regarding the later, mRNA expression levels of MBP, PLP1, CNP, MAG, MAL, MOG and MOBP were preserved at stages I–II/0–A when compared with middle‐aged (MA) individuals, but significantly decreased at stages III–IV/0–C. This was accompanied by reduced expression of NG2 and PDGFRA mRNA, reduced numbers of NG2‐, Olig2‐ and HDAC2‐immunoreactive cells and reduced glucose transporter immunoreactivity. Partial recovery of some of these markers occurred at stages V–VI/B–C. Conclusions The present observations demonstrate that co‐morbidities have an impact on WM integrity in the elderly and in AD, and that early alterations in oligodendrocytes and transcription of genes linked to myelin proteins in WM occur in AD cases without co‐morbidities. These are followed by partial recovery attempts at advanced stages. These observations suggest that oligodendrocytopathy is part of AD.
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Affiliation(s)
- I Ferrer
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain.,Bellvitge University Hospital, Barcelona, Spain.,Ministry of Economy and Competitiveness, CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Barcelona, Spain.,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - P Andrés-Benito
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain.,Ministry of Economy and Competitiveness, CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Barcelona, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
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Beheshti I, Mishra S, Sone D, Khanna P, Matsuda H. T1-weighted MRI-driven Brain Age Estimation in Alzheimer's Disease and Parkinson's Disease. Aging Dis 2020; 11:618-628. [PMID: 32489706 PMCID: PMC7220281 DOI: 10.14336/ad.2019.0617] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 06/17/2019] [Indexed: 11/24/2022] Open
Abstract
Neuroimaging-driven brain age estimation has introduced a robust (reliable and heritable) biomarker for detecting and monitoring neurodegenerative diseases. Here, we computed and compared brain age in Alzheimer's disease (AD) and Parkinson's disease (PD) patients using an advanced machine learning procedure involving T1-weighted MRI scans and gray matter (GM) and white matter (WM) models. Brain age estimation frameworks were built using 839 healthy individuals and then the brain estimated age difference (Brain-EAD: chronological age subtracted from brain estimated age) was assessed in a large sample of PD patients (n = 160) and AD patients (n = 129), respectively. The mean Brain-EADs for GM were +9.29 ± 6.43 years for AD patients versus +1.50 ± 6.03 years for PD patients. For WM, the mean Brain-EADs were +8.85 ± 6.62 years for AD patients versus +2.47 ± 5.85 years for PD patients. In addition, PD patients showed a significantly higher WM Brain-EAD than GM Brain-EAD. In a direct comparison between PD and AD patients, we observed significantly higher Brain-EAD values in AD patients for both GM and WM. A comparison of the Brain-EAD between PD and AD patients revealed that AD patients may have a significantly "older-appearing" brain than PD patients.
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Affiliation(s)
- Iman Beheshti
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Shiwangi Mishra
- PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India.
| | - Daichi Sone
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Pritee Khanna
- PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India.
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
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35
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Chimagomedova AS, Zorina NA, Arablinskii AV, Levin OS. [Clinical and neuroimaging heterogeneity of dementia with Lewy bodies]. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:25-31. [PMID: 31825386 DOI: 10.17116/jnevro201911909225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIM To study clinical characteristics of dementia with Lewy bodies (DLB) depending on neuropsychological, neuroimaging and concomitant cerebrovascular changes as well as on the character of disease onset. MATERIAL AND METHODS Forty-five patients with DLB (25 men and 20 women, men age 72.9±7.2 years, illness duration 2.9±2.2) were studied. The diagnosis was made according to international criteria (McKeith, et al, 2017). MRI, clinical/neurological examination and psychometric scales were used. RESULTS AND CONCLUSION Clinical, neuropsychological and neuroimaging results reveal the heterogeneity of DLB, which remains poorly investigated. An analysis of the clinical picture, cognitive profile, neuropsychiatric changes and MRI results identified three subtypes of DLB course: 1) typical; 2) with early psychotic manifestation; 3) atypical (mixed). This approach may improve the diagnosis of DLB, prognosis of disease course and treatment effectiveness.
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Affiliation(s)
- A Sh Chimagomedova
- Russian Medical Academy for Continuous Professional Education, Moscow, Russia
| | - N A Zorina
- Botkin City Clinical Hospital, Moscow, Russia
| | - A V Arablinskii
- Sechenov First Moscow State Medical University, Moscow, Russia; Botkin City Clinical Hospital, Moscow, Russia
| | - O S Levin
- Russian Medical Academy for Continuous Professional Education, Moscow, Russia
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36
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Ray PP, Dash D, De D. A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients. J Med Syst 2019; 43:287. [PMID: 31317281 DOI: 10.1007/s10916-019-1417-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 07/08/2019] [Indexed: 01/06/2023]
Abstract
In today's world, 46.8 million people suffer from brain related diseases. Dementia is most prevalent of all. In general scenario, a dementia patient lacks proper guidance in searching out the way to return back at his/her home. Thus, increasing the risk of getting damaged at individual-health level. Therefore, it is important to track their movement in more sophisticated manner as possible. With emergence of wearables, GPS sensors and Internet of Things (IoT), such devices have become available in public domain. Smartphone apps support caregiver to locate the dementia patients in real-time. RF, GSM, 3G, Wi-Fi and 4G technology fill the communication gap between patient and caregiver to bring them closer. In this paper, we incorporated 7 most popular wearables for investigation to seek appropriateness for dementia tracking in recent times in systematic manners. We performed an in-depth review of these wearables as per the cost, technology wise and application wise characteristics. A case novel study i.e. IoT-based Force Sensor Resistance enabled System-FSRIoT, has been proposed and implemented to validate the effectiveness of IoT in the domain of smarter dementia patient tracking in wearable form factor. The results show promising aspect of a whole new notion to leverage efficient assistive physio-medical healthcare to the dementia patients and the affected family members to reduce life risks and achieve a better social life.
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Affiliation(s)
- Partha Pratim Ray
- Department of Computer Applications, Sikkim University, Gangtok, India.
| | - Dinesh Dash
- Department of Computer Science and Engineering, NIT Patna, Patna, India
| | - Debashis De
- Department of Computer Science and Engineering, MAKAUT, Kolkata, India
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37
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Zhao Y, Ke Z, He W, Cai Z. Volume of white matter hyperintensities increases with blood pressure in patients with hypertension. J Int Med Res 2019; 47:3681-3689. [PMID: 31242795 PMCID: PMC6726811 DOI: 10.1177/0300060519858023] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Objective Hypertension is a risk factor for development of white matter hyperintensities (WMHs). However, the relationship between hypertension and WMHs remains obscure. We sought to clarify this relationship using clinical data from different regions of China. Methods We analyzed the data of 333 patients with WMHs in this study. All included patients underwent conventional magnetic resonance imaging (MRI) examination. A primary diagnosis of WMHs was made according to MRI findings. The volume burden of WMHs was investigated using the Fazekas scale, which is widely used to rate the degree of WMHs. We conducted retrospective clinical analysis of the data in this study. Results Our findings showed that WMHs in patients with hypertension were associated with diabetes, cardiovascular diseases, history of cerebral infarct, and plasma glucose and triglyceride levels. Fazekas scale scores for WMHs increased with increased blood pressure values in patients with hypertension. Conclusion This analysis indicates that hypertension is an independent contributor to the prevalence and severity of WMHs.
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Affiliation(s)
- Yu Zhao
- 1 Department of Neurology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zunyu Ke
- 2 Department of Neurology, Renmin Hospital, Hubei University of Medicine, Shiyan Renmin Hospital, Shiyan, Hubei Province, China
| | - Wenbo He
- 2 Department of Neurology, Renmin Hospital, Hubei University of Medicine, Shiyan Renmin Hospital, Shiyan, Hubei Province, China
| | - Zhiyou Cai
- 3 Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, Chongqing, China.,4 Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, Chongqing, China
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Jellinger KA. Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update-I. Hypokinetic-rigid movement disorders. J Neural Transm (Vienna) 2019; 126:933-995. [PMID: 31214855 DOI: 10.1007/s00702-019-02028-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 06/05/2019] [Indexed: 02/06/2023]
Abstract
Extrapyramidal movement disorders include hypokinetic rigid and hyperkinetic or mixed forms, most of them originating from dysfunction of the basal ganglia (BG) and their information circuits. The functional anatomy of the BG, the cortico-BG-thalamocortical, and BG-cerebellar circuit connections are briefly reviewed. Pathophysiologic classification of extrapyramidal movement disorder mechanisms distinguish (1) parkinsonian syndromes, (2) chorea and related syndromes, (3) dystonias, (4) myoclonic syndromes, (5) ballism, (6) tics, and (7) tremor syndromes. Recent genetic and molecular-biologic classifications distinguish (1) synucleinopathies (Parkinson's disease, dementia with Lewy bodies, Parkinson's disease-dementia, and multiple system atrophy); (2) tauopathies (progressive supranuclear palsy, corticobasal degeneration, FTLD-17; Guamian Parkinson-dementia; Pick's disease, and others); (3) polyglutamine disorders (Huntington's disease and related disorders); (4) pantothenate kinase-associated neurodegeneration; (5) Wilson's disease; and (6) other hereditary neurodegenerations without hitherto detected genetic or specific markers. The diversity of phenotypes is related to the deposition of pathologic proteins in distinct cell populations, causing neurodegeneration due to genetic and environmental factors, but there is frequent overlap between various disorders. Their etiopathogenesis is still poorly understood, but is suggested to result from an interaction between genetic and environmental factors. Multiple etiologies and noxious factors (protein mishandling, mitochondrial dysfunction, oxidative stress, excitotoxicity, energy failure, and chronic neuroinflammation) are more likely than a single factor. Current clinical consensus criteria have increased the diagnostic accuracy of most neurodegenerative movement disorders, but for their definite diagnosis, histopathological confirmation is required. We present a timely overview of the neuropathology and pathogenesis of the major extrapyramidal movement disorders in two parts, the first one dedicated to hypokinetic-rigid forms and the second to hyperkinetic disorders.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Ahmed MR, Zhang Y, Feng Z, Lo B, Inan OT, Liao H. Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects. IEEE Rev Biomed Eng 2018; 12:19-33. [PMID: 30561351 DOI: 10.1109/rbme.2018.2886237] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dementia, a chronic and progressive cognitive declination of brain function caused by disease or impairment, is becoming more prevalent due to the aging population. A major challenge in dementia is achieving accurate and timely diagnosis. In recent years, neuroimaging with computer-aided algorithms have made remarkable advances in addressing this challenge. The success of these approaches is mostly attributed to the application of machine learning techniques for neuroimaging. In this review paper, we present a comprehensive survey of automated diagnostic approaches for dementia using medical image analysis and machine learning algorithms published in the recent years. Based on the rigorous review of the existing works, we have found that, while most of the studies focused on Alzheimer's disease, recent research has demonstrated reasonable performance in the identification of other types of dementia remains a major challenge. Multimodal imaging analysis deep learning approaches have shown promising results in the diagnosis of these other types of dementia. The main contributions of this review paper are as follows. 1) Based on the detailed analysis of the existing literature, this paper discusses neuroimaging procedures for dementia diagnosis. 2) It systematically explains the most recent machine learning techniques and, in particular, deep learning approaches for early detection of dementia.
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Balážová Z, Nováková M, Minsterová A, Rektorová I. Structural and Functional Magnetic Resonance Imaging of Dementia With Lewy Bodies. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 144:95-141. [PMID: 30638458 DOI: 10.1016/bs.irn.2018.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dementia with Lewy bodies (DLB) is the second most common cause of neurodegenerative dementia after Alzheimer's disease (AD). Although diagnosis may be challenging, there is increasing evidence that the use of biomarkers according to 2017 revised criteria for diagnosis and management of dementia with Lewy bodies can increase diagnostic accuracy. Apart from nuclear medicine techniques, various magnetic resonance imaging (MRI) techniques have been utilized in attempt to enhance diagnostic accuracy. This chapter reviews structural, functional and diffusion MRI studies in DLB cohorts being compared to healthy controls, AD or dementia in Parkinson's disease (PDD). We also included relatively new MRI methods that may have potential to identify early DLB subjects and aim at examining brain iron and neuromelanin.
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Affiliation(s)
- Zuzana Balážová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic; Department of Radiology and Nuclear Medicine, University Hospital Brno, Faculty of Medicine, Brno, Czech Republic
| | - Marie Nováková
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic
| | - Alžběta Minsterová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic
| | - Irena Rektorová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic; St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
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41
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Ferrer I. Oligodendrogliopathy in neurodegenerative diseases with abnormal protein aggregates: The forgotten partner. Prog Neurobiol 2018; 169:24-54. [DOI: 10.1016/j.pneurobio.2018.07.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 07/24/2018] [Accepted: 07/27/2018] [Indexed: 12/31/2022]
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Tana C, Lauretani F, Ticinesi A, Prati B, Nouvenne A, Meschi T. Molecular and Clinical Issues about the Risk of Venous Thromboembolism in Older Patients: A Focus on Parkinson's Disease and Parkinsonism. Int J Mol Sci 2018; 19:ijms19051299. [PMID: 29701703 PMCID: PMC5983741 DOI: 10.3390/ijms19051299] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 04/18/2018] [Accepted: 04/24/2018] [Indexed: 01/06/2023] Open
Abstract
Venous thromboembolism (VTE) is a common and potentially life-threatening condition which includes both deep-vein thrombosis (DVT) and pulmonary embolism (PE). VTE has a significant clinical and epidemiological impact in the elderly, and its incidence increases to more than 1% per year in older patients, suggesting the presence of specific age-related risk factors in this population. Immobilization seems to predominate as the main cause in patients admitted for medical acute illness in medicine wards, and there is evidence of a high risk in older patients with immobilization resulting from advanced forms of Parkinson’s disease (PD), regardless of the presence of an acute medical condition. In this review, we would to discuss the recent evidence on clinical, molecular and epidemiological features of VTE in older frail subjects focusing on patients with PD and parkinsonism. We also discuss some therapeutic issues about the risk prevention and we suggest a thorough comprehensive geriatric assessment that can represent an optimal strategy to identify and prevent the VTE risk in these patients.
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Affiliation(s)
- Claudio Tana
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
| | - Fulvio Lauretani
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
- Department of Medicine and Surgery, University-Hospital of Parma, 43126 Parma, Italy.
- Cognitive and Motor Center, Medicine and Geriatric-Rehabilitation Department of Parma, University-Hospital of Parma, 43126 Parma, Italy.
| | - Andrea Ticinesi
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
- Department of Medicine and Surgery, University-Hospital of Parma, 43126 Parma, Italy.
| | - Beatrice Prati
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
| | - Antonio Nouvenne
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
| | - Tiziana Meschi
- Internal Medicine and Critical Subacute Care Unit, Medicine and Geriatric-Rehabilitation Department, University-Hospital of Parma, 43126 Parma, Italy.
- Department of Medicine and Surgery, University-Hospital of Parma, 43126 Parma, Italy.
- Cognitive and Motor Center, Medicine and Geriatric-Rehabilitation Department of Parma, University-Hospital of Parma, 43126 Parma, Italy.
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Jellinger KA. Dementia with Lewy bodies and Parkinson's disease-dementia: current concepts and controversies. J Neural Transm (Vienna) 2017; 125:615-650. [PMID: 29222591 DOI: 10.1007/s00702-017-1821-9] [Citation(s) in RCA: 172] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 11/28/2017] [Indexed: 12/15/2022]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson's disease-dementia (PDD), although sharing many clinical, neurochemical and morphological features, according to DSM-5, are two entities of major neurocognitive disorders with Lewy bodies of unknown etiology. Despite considerable clinical overlap, their diagnosis is based on an arbitrary distinction between the time of onset of motor and cognitive symptoms: dementia often preceding parkinsonism in DLB and onset of cognitive impairment after onset of motor symptoms in PDD. Both are characterized morphologically by widespread cortical and subcortical α-synuclein/Lewy body plus β-amyloid and tau pathologies. Based on recent publications, including the fourth consensus report of the DLB Consortium, a critical overview is given. The clinical features of DLB and PDD include cognitive impairment, parkinsonism, visual hallucinations, and fluctuating attention. Intravitam PET and post-mortem studies revealed more pronounced cortical atrophy, elevated cortical and limbic Lewy pathologies (with APOE ε4), apart from higher prevalence of Alzheimer pathology in DLB than PDD. These changes may account for earlier onset and greater severity of cognitive defects in DLB, while multitracer PET studies showed no differences in cholinergic and dopaminergic deficits. DLB and PDD sharing genetic, neurochemical, and morphologic factors are likely to represent two subtypes of an α-synuclein-associated disease spectrum (Lewy body diseases), beginning with incidental Lewy body disease-PD-nondemented-PDD-DLB (no parkinsonism)-DLB with Alzheimer's disease (DLB-AD) at the most severe end, although DLB does not begin with PD/PDD and does not always progress to DLB-AD, while others consider them as the same disease. Both DLB and PDD show heterogeneous pathology and neurochemistry, suggesting that they share important common underlying molecular pathogenesis with AD and other proteinopathies. Cognitive impairment is not only induced by α-synuclein-caused neurodegeneration but by multiple regional pathological scores. Recent animal models and human post-mortem studies have provided important insights into the pathophysiology of DLB/PDD showing some differences, e.g., different spreading patterns of α-synuclein pathology, but the basic pathogenic mechanisms leading to the heterogeneity between both disorders deserve further elucidation. In view of the controversies about the nosology and pathogenesis of both syndromes, there remains a pressing need to differentiate them more clearly and to understand the processes leading these synucleinopathies to cause one disorder or the other. Clinical management of both disorders includes cholinesterase inhibitors, other pharmacologic and nonpharmacologic strategies, but these have only a mild symptomatic effect. Currently, no disease-modifying therapies are available.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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