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Laurell AAS, Mak E, Dounavi M, Underwood BR, Dauvilliers Y, Dudas RB, Marguet O, Ritchie CW, Koychev I, Lawlor BA, Naci L, Malhotra P, Grau‐Rivera O, Gispert JD, O'Brien JT. Hypothalamic volume, sleep, and APOE genotype in cognitively healthy adults. Alzheimers Dement 2025; 21:e70244. [PMID: 40356022 PMCID: PMC12069023 DOI: 10.1002/alz.70244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Revised: 04/08/2025] [Accepted: 04/10/2025] [Indexed: 05/15/2025]
Abstract
INTRODUCTION Sleep dysfunction in those at higher risk of dementia may be associated with early structural changes to the hypothalamus. METHODS We used multivariate regression to analyze self-reported sleep (Pittsburgh Sleep Quality Index [PSQI]) from cognitively healthy participants in the PREVENT Dementia and Alzheimer's and Families (ALFA) studies (n = 1939), stratified by apolipoprotein E (APOE) genotype as homozygotes, heterozygotes, and non-carriers. FreeSurfer was used to extract hypothalamic subunit volumes from T1-weighted magnetic resonance images. RESULTS APOE ε4 homozygotes had a larger anterior-superior hypothalamus compared to heterozygotes and non-carriers, an effect which was driven by younger people in the cohort. APOE ε4 carriers had a higher PSQI global score after age 55, and smaller anterior-superior and tubular-superior subunits were associated with more sleep disturbances. Sleep duration and efficiency worsened with age, but only in participants with a small anterior-inferior hypothalamus. DISCUSSION This suggests that aging and APOE ε4 are associated with hypothalamic changes, highlighting mechanisms linking sleep dysfunction to dementia. HIGHLIGHTS Apolipoprotein E (APOE) ε4 homozygotes ha a larger anterior-superior hypothalamus. APOE ε4 carriers have worse sleep, but only after age 55. Worse sleep in APOE ε4 carriers was associated with smaller hypothalamic subunits. Higher age was associated with worse sleep in people with a small hypothalamus.
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Affiliation(s)
- Axel A. S. Laurell
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation Trust, Windsor Research UnitFulbourn HospitalCambridgeUK
| | - Elijah Mak
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
| | - Maria‐Eleni Dounavi
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
| | - Benjamin R. Underwood
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation Trust, Windsor Research UnitFulbourn HospitalCambridgeUK
| | - Yves Dauvilliers
- Sleep‐Wake Disorders CenterDepartment of NeurologyGui‐de‐Chauliac Hospital, CHU Montpellier Université de MontpellierMontpellierFrance
| | - Robert B. Dudas
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation Trust, Windsor Research UnitFulbourn HospitalCambridgeUK
- Department of PsychiatryUniversity of East AngliaNorwichUK
| | - Oriane Marguet
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | | | - Ivan Koychev
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK
| | - Brian A. Lawlor
- Global Brain Health Institute, Trinity College DublinDublinUK
| | - Lorina Naci
- Trinity College Institute of Neuroscience, Trinity College DublinDublinUK
| | - Paresh Malhotra
- Department of Brain SciencesImperial College London, Burlington Danes, The Hammersmith HospitalLondonUK
| | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
- Hospital del Mar Medical Research InstituteBarcelonaSpain
- Servei de NeurologiaHospital del MarBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES), Instituto de Salud Carlos IIIMadridSpain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN)MadridSpain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
- Hospital del Mar Medical Research InstituteBarcelonaSpain
- Servei de NeurologiaHospital del MarBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES), Instituto de Salud Carlos IIIMadridSpain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN)MadridSpain
| | - John T. O'Brien
- Department of PsychiatryUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation Trust, Windsor Research UnitFulbourn HospitalCambridgeUK
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Ye M, Ji Q, Liu Q, Kang X, Zhan Y. Longitudinal associations of lipid profiles with sleep disorders in patients with Parkinson's disease. Lipids 2025; 60:115-123. [PMID: 39702743 DOI: 10.1002/lipd.12428] [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: 08/29/2024] [Revised: 11/28/2024] [Accepted: 12/05/2024] [Indexed: 12/21/2024]
Abstract
To examine the associations of apolipoprotein E (APOE) carrier status and lipid profiles with sleep disorders, including excessive daytime sleepiness (EDS) and probable rapid eye movement sleep behavior disorder (pRBD), among patients with early Parkinson's disease (PD) over 5-year follow-up periods. The Parkinson's Progression Markers Initiative is a multicenter cohort study based on an ongoing and open-ended registry. Data from baseline and 5-year follow-up visits from participants of de novo PD were analyzed. Longitudinal associations of APOE carrier status and lipid profiles with sleep disorders were estimated via linear mixed-effects models. A total of 657 participants with complete APOE genotypes were enrolled at baseline. Among them, 153 (25.3%) had available lipid profiles at baseline. In the linear mixed-effects models, baseline APOE ε2/ε3/ε4 carrier status did not exhibit significant associations with EDS and pRBD (all p > 0.05) in all models. However, reduced high-density lipoprotein (HDL) and elevated triglycerides (TG) were associated with developing EDS (β = -0.04, 95% CI: -0.07, -0.00) and pRBD (β = 0.01, 95% CI: 0.00, 0.02) in PD patients, respectively. In the APOE ε4+ subgroup, decreased HDL and increased TG displayed substantial associations with developing EDS and sleep disorders (all p < 0.05) in all models, respectively, whereas no significant differences were noted in the APOE ε4- subgroup (all p > 0.05). Our study did not demonstrate a clear association between APOE ε2/ε3/ε4 and sleep disorders in PD patients. However, the presence of APOE ε4 was associated with changes in lipid profiles, notably affecting TG and HDL levels.
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Affiliation(s)
- Meijie Ye
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Qianqian Ji
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Qi Liu
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Xiaoying Kang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yiqiang Zhan
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Hlavnička J, Mana J, Bezdicek O, Čihák M, Havlík F, Škrabal D, Bartošová T, Šonka K, Růžička E, Dušek P. Four questions to predict cognitive decline in de novo Parkinson's disease. NPJ Parkinsons Dis 2025; 11:91. [PMID: 40274837 PMCID: PMC12022067 DOI: 10.1038/s41531-025-00958-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 04/08/2025] [Indexed: 04/26/2025] Open
Abstract
Early identification of cognitive decline (CD) in de novo Parkinson's disease (PD) is crucial for choosing appropriate therapies and recruiting for clinical trials. However, existing prognostic models lack flexibility, scalability and require costly instrumentation. This study explores the utility of standard clinical questionnaires and criteria to predict CD in de novo PD. A total of 186 patients from the Parkinson Progression Markers Initiative (PPMI) and 48 patients from the Biomarkers of Parkinson's Disease project (BIO-PD) underwent clinical interviews, comprehensive tests, and questionnaires. A model based only on age of disease onset, history of stroke, history of fainting, and vocalization during dreams predicted CD in 2 and 4-year horizons with an area under curve (AUC) of 70% ± 10% standard deviation (cross-validated PPMI), 79% (overall PPMI), and 78% (validation in BIO-PD). This approach enables rapid preliminary screening using just four simple questions, achieving predictive accuracy comparable to instrumentation-based methods while reducing assessment time.
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Affiliation(s)
- Jan Hlavnička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czechia
| | - Josef Mana
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Martin Čihák
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Filip Havlík
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Dominik Škrabal
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Tereza Bartošová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia.
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Li S, Jiao F, Li X, Xu Z, Hu T, Liang X, Wu J, Wang J, Zuo C, Tang Y. Plasma GFAP and NfL associate with cerebral glucose metabolism in putative brain-first and body-first Parkinson's disease subtypes. NPJ Parkinsons Dis 2025; 11:54. [PMID: 40121206 PMCID: PMC11929867 DOI: 10.1038/s41531-025-00898-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Accepted: 02/17/2025] [Indexed: 03/25/2025] Open
Abstract
The recently proposed body-first and brain-first subtypes are classified based on the initial localization of α-synuclein inclusions. This study investigated plasma biomarkers and cerebral glucose metabolism characteristics in putative brain-first and body-first subtypes in PD subjects. PD patients without possible RBD (PDpRBD-) (n = 58) and with possible RBD symptoms discovered before motor symptoms (PDpRBD+) (n = 43) were recruited. Single-molecule array (SimoA) was used for measuring plasma biomarkers, including glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), Tau and phosphorylated-tau 181 (pTau-181). All participants underwent 18F-fluorodeoxyglucose (FDG) PET scans. Compared to PDpRBD- patients, PDpRBD+ patients exhibited significantly increased plasma GFAP levels and reduced 18F-FDG uptake in cortical regions. Notably, plasma GFAP and NfL levels correlated with cerebral glucose metabolism in PDpRBD- patients. Our study identified the association between plasma GFAP and NfL levels and cerebral glucose metabolism in PDpRBD- patients. Further large-scale longitudinal studies are required.
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Affiliation(s)
- Shiyu Li
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fangyang Jiao
- Department of Nuclear Medicine &PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiuyuan Li
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhiheng Xu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Tianyu Hu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jian Wang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Chuantao Zuo
- Department of Nuclear Medicine &PET Center, Huashan Hospital, Fudan University, Shanghai, China.
| | - Yilin Tang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China.
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Tan S, Wen J, Qin J, Duanmu X, Wu C, Yuan W, Zheng Q, Guo T, Zhou C, Wu H, Chen J, Wu J, Hong H, Zhu B, Fang Y, Yan Y, Zhang B, Zhang M, Guan X, Xu X. Wider and faster degeneration of white matter in Parkinson's disease with possible REM sleep behaviour disorder. Sleep Med 2025; 126:97-106. [PMID: 39662278 DOI: 10.1016/j.sleep.2024.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 11/30/2024] [Accepted: 12/01/2024] [Indexed: 12/13/2024]
Abstract
BACKGROUND In Parkinson's disease (PD), rapid eye movement (REM) sleep behaviour disorder (RBD) signifies a poorer prognosis, yet its impact on white matter (WM) degeneration remains unclear. The study examined the effect of RBD on WM alterations in PD progression. METHODS The study included 45 PD patients with possible RBD (PD-pRBD), 38 PD patients without possible RBD (PD-npRBD), and 79 healthy controls (HC). All patients underwent clinical assessments and diffusion MRI scans at least once a year for up to 4 visits. 79 HC underwent the same protocol at baseline. WM metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were calculated using tract-based spatial statistics. Linear mixed-effects models were conducted to examine the changes in clinical features and WM fibers. RESULTS At baseline, PD-npRBD showed increased RD in several regions, predominantly in bilateral uncinate fasciculus (UF) and inferior longitudinal fasciculus (ILF), compared to HC (PFDR<0.05). During follow-up, PD-npRBD had further FA decrease in left UF and ILF (PFDR<0.05). PD-pRBD showed reduced FA in several regions relative to HC at baseline (PFDR<0.05), and faster FA decline in left UF and ILF than PD-npRBD during follow-up, with more extensive FA decrease in other regions such as anterior thalamic radiation and inferior fronto-occipital fasciculus (PFDR<0.05). Moreover, increased RD in the left corticospinal tract correlated with motor symptoms (p = 0.045) in PD-pRBD. CONCLUSIONS PD patients with pRBD demonstrated more extensive WM degeneration and accelerated degeneration in the left ILF and UF during the disease course. However, due to the lack of PSG verification, these results should be interpreted cautiously while directly relating to RBD. These findings provide new insights into the neural structural basis associated with the potential impact of RBD on PD progression.
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Affiliation(s)
- Sijia Tan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianmei Qin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojie Duanmu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chenqing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weijin Yuan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qianshi Zheng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bingting Zhu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Yuelin Fang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Yaping Yan
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Shimasaki R, Kurihara M, Hatano K, Goto R, Taira K, Ihara R, Higashihara M, Nishina Y, Kameyama M, Iwata A. Associations of cerebrospinal fluid monoamine metabolites with striatal dopamine transporter binding and 123I-meta-iodobenzylguanidine cardiac scintigraphy in Parkinson's disease: Multivariate analyses. Parkinsonism Relat Disord 2024; 128:107129. [PMID: 39241507 DOI: 10.1016/j.parkreldis.2024.107129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024]
Abstract
Cerebrospinal fluid (CSF) homovanillic acid (HVA) and 5-hydroxyindole acetic acid (5-HIAA), dopamine and serotonin metabolites, are decreased in Parkinson's disease (PD). Although some reported associations between HVA and striatal dopamine transporter (DAT) or 5-HIAA and cardiac 123I-meta-iodobenzylguanidine (MIBG) findings, respectively, whether these are direct associations remained unknown. We retrospectively reviewed 57 drug-naïve patients with PD who underwent CSF analyses and DAT and cardiac MIBG imaging. Z-score of striatal DAT specific binding ratio (Z-SBR) was measured, and the positivity of MIBG abnormalities were judged by an expert. The mean age was 75.5 ± 8.7 years. Thirty-three were MIBG-positive and 24 were MIBG-negative. 5-HIAA levels were significantly lower in the MIBG-positive group. Logistic regression analysis showed that MIBG positivity was associated with 5-HIAA level (odds ratio = 0.751, p = 0.006) but not with age, sex, and HVA. DAT Z-SBR correlated with both HVA and 5-HIAA. Multiple regression analysis showed that HVA was the only significant variable associated with Z-SBR (t = 3.510, p < 0.001). We confirmed direct associations between 5-HIAA and cardiac MIBG, and between HVA and striatal DAT binding.
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Affiliation(s)
- Ryosuke Shimasaki
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Masanori Kurihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan; Integrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan.
| | - Keiko Hatano
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Ryoji Goto
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Kenichiro Taira
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Ryoko Ihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Mana Higashihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Yasushi Nishina
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Masashi Kameyama
- Department of Diagnostic Radiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan; Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
| | - Atsushi Iwata
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan; Integrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Japan
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Chen S, Wang MY, Shao JY, Yang HQ, Zhang HJ, Zhang JW. Disease progression subtypes of Parkinson's disease based on milestone events. J Neurol 2024; 271:6791-6800. [PMID: 39187742 DOI: 10.1007/s00415-024-12645-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/14/2024] [Accepted: 08/16/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Parkinson's disease (PD) demonstrates considerable heterogeneity in the manifestation of clinical symptoms and disease progression. Recently, six clinical milestones have been proposed to evaluate disease severity in PD. However, the identification of PD progression subtypes based on these milestone events has not yet been performed. METHODS Latent class analysis (LCA) was employed to identify subtypes of PD progression based on the timing of the first occurrence of six milestones within a 6-year follow-up period in Parkinson's Progression Markers Initiative (PPMI) database. RESULTS The study cohort consisted of 354 early PD patients, of whom 42.9% experienced at least one milestone within six years. LCA identified two distinct subtypes of PD progression: slow progression (83%) and rapid progression (17%). The total number of milestones over six years was significantly higher in the rapid progression subtype compared to the slow progression subtype (median: 3.00 vs. 0.00, p < 0.001). At baseline, the rapid progression subtype, compared to the slow progression subtype, was characterized by an older age at onset and more severe motor and non-motor symptoms. On biomarkers, the rapid progression subtype demonstrated elevated CSF p-tau and serum NFL, but decreased mean striatal DAT uptake. Five clinical variables (age, SDMT score, MDS-UPDRS I score, MDS-UPDRS II + III scores, and RBD) were selected to construct the predictive model. The original predictive model achieved an AUC of 0.82. In internal validation using bootstrap resampling, the model achieved an AUC of 0.82, with a 95%CI ranging from 0.76 to 0.87. The model's performance was acceptable regarding both calibration and clinical utility. CONCLUSION Approximately 17% of early PD patients exhibited the rapid progression subtype, characterized by the occurrence of more and earlier-onset milestones. The nomogram predictive model, incorporating five baseline clinical variables (age, SDMT score, MDS-UPDRS I score, MDS-UPDRS II + III scores, RBD), serves as a valuable tool for prognostic counseling and patient selection in PD clinical trials.
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Affiliation(s)
- Shuai Chen
- Department of Neurology, Zhengzhou University People's Hospital (Henan Provincial People's Hospital), Zhengzhou, 450003, Henan, China
- Department of Neurology, Henan University People's Hospital, Zhengzhou, 450003, Henan, China
| | - Meng-Yun Wang
- Department of Neurology, Henan University People's Hospital, Zhengzhou, 450003, Henan, China
| | - Jing-Yu Shao
- Department of Neurology, Zhengzhou University People's Hospital (Henan Provincial People's Hospital), Zhengzhou, 450003, Henan, China
| | - Hong-Qi Yang
- Department of Neurology, Zhengzhou University People's Hospital (Henan Provincial People's Hospital), Zhengzhou, 450003, Henan, China
- Department of Neurology, Henan University People's Hospital, Zhengzhou, 450003, Henan, China
| | - Hong-Ju Zhang
- Department of Neurology, Zhengzhou University People's Hospital (Henan Provincial People's Hospital), Zhengzhou, 450003, Henan, China.
- Department of Neurology, Henan University People's Hospital, Zhengzhou, 450003, Henan, China.
| | - Jie-Wen Zhang
- Department of Neurology, Zhengzhou University People's Hospital (Henan Provincial People's Hospital), Zhengzhou, 450003, Henan, China.
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Mei S, Wang X, Mao W, Liu Y, Tian Z, Han C, Chan P. Orthostatic Hypotension: a clinical marker for the body-first subtype of patients with Parkinson's Disease. NPJ Parkinsons Dis 2024; 10:173. [PMID: 39256426 PMCID: PMC11387652 DOI: 10.1038/s41531-024-00787-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 08/20/2024] [Indexed: 09/12/2024] Open
Abstract
Our study aimed to investigate the clinical characteristics of PD patients stratified by OH status before and after levodopa challenge to explore the hypothesis that OH might serve as a clinical marker for the body-first subtype of PD. Supine and standing blood pressure were measured in a large cross-sectional cohort of PD patients at the OFF status before and after levodopa challenge test (LCT). Based on OH status, patients were divided into three groups: spontaneous OH (SOH), only levodopa-induced OH (LOH) and non-OH (NOH). Clinical characteristics and associated factors were compared among the groups. A total of 928 patients with a mean age of 62.4 years and average disease duration of 7.9 years were included. There were 224 (24.1%) patients with SOH, 321 (34.6%) with LOH, and 383 (41.3%) with NOH. Compared to NOH, both SOH and LOH were associated with older age, motor fluctuations, and probable rapid eye movement sleep behavior disorder (pRBD). In addition, OH was more associated with cardiovascular and digestive dysfunction, disease severity and worse quality of life. Results of the current study suggest that PD patients developed OH which is more likely to comorbid with RBD, severe autonomic dysfunction and motor fluctuations, consistent with the body-first subtype of PD.
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Affiliation(s)
- Shanshan Mei
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Xue Wang
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Wei Mao
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Yue Liu
- Department of Neurology, Boren Hospital, Beijing, China
| | - Zichen Tian
- Washington University School of Medicine, St. Louis, MI, USA
| | - Chao Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.
| | - Piu Chan
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China.
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.
- Parkinson's Disease Center of Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.
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9
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Conti M, Garasto E, Bovenzi R, Ferrari V, Mercuri NB, Di Giuliano F, Cerroni R, Pierantozzi M, Schirinzi T, Stefani A, Rocchi C. Insular and limbic abnormal functional connectivity in early-stage Parkinson's disease patients with autonomic dysfunction. Cereb Cortex 2024; 34:bhae270. [PMID: 38967041 PMCID: PMC11909796 DOI: 10.1093/cercor/bhae270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/05/2024] [Accepted: 06/17/2024] [Indexed: 07/06/2024] Open
Abstract
Autonomic symptoms in Parkinson's disease result from variable involvement of the central and peripheral systems, but many aspects remain unclear. The analysis of functional connectivity has shown promising results in assessing the pathophysiology of Parkinson's disease. This study aims to investigate the association between autonomic symptoms and cortical functional connectivity in early Parkinson's disease patients using high-density EEG. 53 early Parkinson's disease patients (F/M 18/35) and 49 controls (F/M 20/29) were included. Autonomic symptoms were evaluated using the Scales for Outcomes in Parkinson's disease-Autonomic Dysfunction score. Data were recorded with a 64-channel EEG system. We analyzed cortical functional connectivity, based on weighted phase-lag index, in θ-α-β-low-γ bands. A network-based statistic was used to perform linear regression between Scales for Outcomes in Parkinson's disease-Autonomic Dysfunction score and functional connectivity in Parkinson's disease patients. We observed a positive relation between the Scales for Outcomes in Parkinson's disease-Autonomic Dysfunction score and α-functional connectivity (network τ = 2.8, P = 0.038). Regions with higher degrees were insula and limbic lobe. Moreover, we found positive correlations between the mean connectivity of this network and the gastrointestinal, cardiovascular, and thermoregulatory domains of Scales for Outcomes in Parkinson's disease-Autonomic Dysfunction. Our results revealed abnormal functional connectivity in specific areas in Parkinson's disease patients with greater autonomic symptoms. Insula and limbic areas play a significant role in the regulation of the autonomic system. Increased functional connectivity in these regions might represent the central compensatory mechanism of peripheral autonomic dysfunction in Parkinson's disease.
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Affiliation(s)
- Matteo Conti
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Elena Garasto
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Roberta Bovenzi
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Valerio Ferrari
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Nicola B Mercuri
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Francesca Di Giuliano
- Neuroradiology Unit, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Rocco Cerroni
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
- UOSD Parkinson Centre, Tor Vergata University Hospital, Viale Oxford 81, 00133 Rome, Italy
| | - Mariangela Pierantozzi
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Tommaso Schirinzi
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Alessandro Stefani
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
- UOSD Parkinson Centre, Tor Vergata University Hospital, Viale Oxford 81, 00133 Rome, Italy
| | - Camilla Rocchi
- Neurology Unit, Department of Systems Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
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10
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Xu Z, Hu T, Xu C, Liang X, Li S, Sun Y, Liu F, Wang J, Tang Y. Disease progression in proposed brain-first and body-first Parkinson's disease subtypes. NPJ Parkinsons Dis 2024; 10:111. [PMID: 38834646 DOI: 10.1038/s41531-024-00730-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/24/2024] [Indexed: 06/06/2024] Open
Abstract
A new Parkinson's disease (PD) subtyping model has been recently proposed based on the initial location of α-synuclein inclusions, which divides PD patients into the brain-first subtype and the body-first subtype. Premotor RBD has proven to be a predictive marker of the body-first subtype. We found compared to PD patients without possible RBD (PDpRBD-, representing the brain-first subtype), PD patients with possible premotor RBD (PDpRBD+, representing the body-first subtype) had lower Movement Disorders Society Unified Parkinson's Disease Rating Scale part III (MDS UPDRS-III) score (p = 0.022) at baseline but presented a faster progression rate (p = 0.009) in MDS UPDRS-III score longitudinally. The above finding indicates the body-first subtype exhibited a faster disease progression in motor impairments compared to the brain-first subtype and further validates the proposed subtyping model.
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Affiliation(s)
- Zhiheng Xu
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Tianyu Hu
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chenqin Xu
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shiyu Li
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yimin Sun
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fengtao Liu
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jian Wang
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Yilin Tang
- Department of Neurology and National Research Center for Aging and Medicine and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, China.
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11
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Horsager J, Borghammer P. Brain-first vs. body-first Parkinson's disease: An update on recent evidence. Parkinsonism Relat Disord 2024; 122:106101. [PMID: 38519273 DOI: 10.1016/j.parkreldis.2024.106101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/07/2024] [Accepted: 03/10/2024] [Indexed: 03/24/2024]
Abstract
We recently proposed a new disease model of Parkinson's disease - the a-Synuclein Origin site and Connectome model. The model posits that the initial pathology starts either in the olfactory bulb or amygdala leading to a brain-first subtype, or in the enteric nervous system leading to a body-first subtype. These subtypes should be distinguishable early in the disease course on a range of imaging, clinical, and neuropathological markers. Here, we review recent original human studies, which tested the predictions of the model. Molecular imaging studies were generally in agreement with the model, whereas structural imaging studies, such as MRI volumetry, showed conflicting findings. Most large-scale clinical studies were supportive, reporting clustering of relevant markers of the body-first subtype, including REM-sleep behavior disorder, constipation, autonomic dysfunction, neuropsychiatric symptoms, and cognitive impairment. Finally, studies of a-synuclein deposition in antemortem and postmortem tissues revealed distribution of pathology, which generally supports the model.
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Affiliation(s)
- Jacob Horsager
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Denmark.
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Denmark.
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Pauly L, Rauschenberger A, Pauly C, Schröder VE, Van Cutsem G, Leist AK, Krüger R. Cognition and Other Non-Motor Symptoms in an At-Risk Cohort for Parkinson's Disease Defined by REM-Sleep Behavior Disorder and Hyposmia. JOURNAL OF PARKINSON'S DISEASE 2024; 14:545-556. [PMID: 38669560 PMCID: PMC11091555 DOI: 10.3233/jpd-230285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/18/2024] [Indexed: 04/28/2024]
Abstract
Background REM-sleep behavior disorder (RBD) and other non-motor symptoms such as hyposmia were proposed by the Movement Disorder Society as research criteria for prodromal Parkinson's disease (P-PD). Global cognitive deficit was later added. Objective To compare non-motor symptoms, focusing on cognition, between a P-PD group and a matched control group. Methods In this cross-sectional, case-control study, in a first set of analyses, we performed extensive cognitive testing on people with (n = 76) and a control group without (n = 195) probable RBD and hyposmia. Furthermore, we assessed motor and non-motor symptoms related to Parkinson's Disease (PD). After propensity score matching, we compared 62 P-PD with 62 age- and sex-matched controls. In addition, we performed regression analyses on the total sample (n = 271). In a second set of analyses, we used, a.o., the CUPRO to evaluate retrograde procedural memory and visuo-constructive functions. Results People with P-PD showed significantly poorer performances in global cognition, visuo-constructive and executive functions, mainly in mental flexibility (p < 0.001; p = 0.004; p = 0.003), despite similar educational levels (p = 0.415). We observed significantly more motor and non-motor symptoms (p < 0.001; p = 0.004), higher scores for depression (p = 0.004) and apathy (p < 0.001) as well as lower quality of life (p < 0.001) in P-PD. CONCLUSIONS Our findings confirm that global cognitive, executive, and visuo-constructive deficits define the P-PD group. In addition, depression, apathy, and lower quality of life were more prevalent in P-PD. If replicated in other samples, executive and visuo-constructive deficits should be considered in non-motor P-PD. Determining specific patterns will support early recognition of PD, secondary prevention of complications and the development of neuroprotective treatments.
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Affiliation(s)
- Laure Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Armin Rauschenberger
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Biomedical Data Science, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Claire Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Valerie E. Schröder
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Gilles Van Cutsem
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Anja K. Leist
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - on behalf of the NCER-PD Consortium
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Biomedical Data Science, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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13
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Borghammer P, Okkels N, Weintraub D. Parkinson's Disease and Dementia with Lewy Bodies: One and the Same. JOURNAL OF PARKINSON'S DISEASE 2024; 14:383-397. [PMID: 38640172 PMCID: PMC11091584 DOI: 10.3233/jpd-240002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/18/2024] [Indexed: 04/21/2024]
Abstract
The question whether Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB) are expressions of the same underlying disease has been vigorously debated for decades. The recently proposed biological definitions of Lewy body disease, which do not assign any particular importance to the dopamine system over other degenerating neurotransmitter systems, has once more brought the discussion about different types of Lewy body disease to the forefront. Here, we briefly compare PDD and DLB in terms of their symptoms, imaging findings, and neuropathology, ultimately finding them to be indistinguishable. We then present a conceptual framework to demonstrate how one can view different clinical syndromes as manifestations of a shared underlying Lewy body disease. Early Parkinson's disease, isolated RBD, pure autonomic failure and other autonomic symptoms, and perhaps even psychiatric symptoms, represent diverse manifestations of the initial clinical stages of Lewy body disease. They are characterized by heterogeneous and comparatively limited neuronal dysfunction and damage. In contrast, Lewy body dementia, an encompassing term for both PDD and DLB, represents a more uniform and advanced stage of the disease. Patients in this category display extensive and severe Lewy pathology, frequently accompanied by co-existing pathologies, as well as multi-system neuronal dysfunction and degeneration. Thus, we propose that Lewy body disease should be viewed as a single encompassing disease entity. Phenotypic variance is caused by the presence of individual risk factors, disease mechanisms, and co-pathologies. Distinct subtypes of Lewy body disease can therefore be defined by subtype-specific disease mechanisms or biomarkers.
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Affiliation(s)
- Per Borghammer
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Niels Okkels
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Pavelka L, Rawal R, Ghosh S, Pauly C, Pauly L, Hanff AM, Kolber PL, Jónsdóttir SR, Mcintyre D, Azaiz K, Thiry E, Vilasboas L, Soboleva E, Giraitis M, Tsurkalenko O, Sapienza S, Diederich N, Klucken J, Glaab E, Aguayo GA, Jubal ER, Perquin M, Vaillant M, May P, Gantenbein M, Satagopam VP, Krüger R. Luxembourg Parkinson's study -comprehensive baseline analysis of Parkinson's disease and atypical parkinsonism. Front Neurol 2023; 14:1330321. [PMID: 38174101 PMCID: PMC10763250 DOI: 10.3389/fneur.2023.1330321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/24/2023] [Indexed: 01/05/2024] Open
Abstract
Background Deep phenotyping of Parkinson's disease (PD) is essential to investigate this fastest-growing neurodegenerative disorder. Since 2015, over 800 individuals with PD and atypical parkinsonism along with more than 800 control subjects have been recruited in the frame of the observational, monocentric, nation-wide, longitudinal-prospective Luxembourg Parkinson's study. Objective To profile the baseline dataset and to explore risk factors, comorbidities and clinical profiles associated with PD, atypical parkinsonism and controls. Methods Epidemiological and clinical characteristics of all 1,648 participants divided in disease and control groups were investigated. Then, a cross-sectional group comparison was performed between the three largest groups: PD, progressive supranuclear palsy (PSP) and controls. Subsequently, multiple linear and logistic regression models were fitted adjusting for confounders. Results The mean (SD) age at onset (AAO) of PD was 62.3 (11.8) years with 15% early onset (AAO < 50 years), mean disease duration 4.90 (5.16) years, male sex 66.5% and mean MDS-UPDRS III 35.2 (16.3). For PSP, the respective values were: 67.6 (8.2) years, all PSP with AAO > 50 years, 2.80 (2.62) years, 62.7% and 53.3 (19.5). The highest frequency of hyposmia was detected in PD followed by PSP and controls (72.9%; 53.2%; 14.7%), challenging the use of hyposmia as discriminating feature in PD vs. PSP. Alcohol abstinence was significantly higher in PD than controls (17.6 vs. 12.9%, p = 0.003). Conclusion Luxembourg Parkinson's study constitutes a valuable resource to strengthen the understanding of complex traits in the aforementioned neurodegenerative disorders. It corroborated several previously observed clinical profiles, and provided insight on frequency of hyposmia in PSP and dietary habits, such as alcohol abstinence in PD.Clinical trial registration: clinicaltrials.gov, NCT05266872.
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Affiliation(s)
- Lukas Pavelka
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rajesh Rawal
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Soumyabrata Ghosh
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Claire Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Laure Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anne-Marie Hanff
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Pierre Luc Kolber
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Department of Neurosciences, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Sonja R. Jónsdóttir
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Deborah Mcintyre
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Kheira Azaiz
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Elodie Thiry
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Liliana Vilasboas
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Ekaterina Soboleva
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Marijus Giraitis
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Olena Tsurkalenko
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Stefano Sapienza
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Nico Diederich
- Department of Neurosciences, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
| | - Jochen Klucken
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Enrico Glaab
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Gloria A. Aguayo
- Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Eduardo Rosales Jubal
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Magali Perquin
- Department of Precision Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Michel Vaillant
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Patrick May
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Manon Gantenbein
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Venkata P. Satagopam
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
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15
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Feuerstein JS, Amara A. REM Behavior Disorder: Implications for PD Therapeutics. Curr Neurol Neurosci Rep 2023; 23:727-734. [PMID: 37831394 DOI: 10.1007/s11910-023-01310-1] [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] [Accepted: 09/27/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia that occurs during REM sleep, characterized by REM sleep without atonia (RSWA) and dream enactment behavior (DEB). RBD is associated with several diseases and medications but most notably is a prodromal feature of synucleinopathies, including Parkinson's disease (PD). This article reviews RBD, its treatments, and implications for PD therapeutics. RECENT FINDINGS Recent research recognizes RBD as a prodromal marker of PD, resulting in expansion of basic science and clinical investigations of RBD. Current basic science research investigates the pathophysiology of RBD and explores animal models to allow therapeutic development. Clinical research has focused on natural history observation, as well as potential RBD treatments and their impact on sleep and phenoconversion to neurodegenerative disease. RBD serves as a fresh access point to develop both neuroprotective and symptomatic therapies in PD. These types of investigations are novel and will benefit from the more established basic science infrastructure to develop new interventions.
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Affiliation(s)
- Jeanne S Feuerstein
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA.
- Department of Neurology, Rocky Mountain Regional VA Medical Center, 12631 E. 17th Ave Room 5508, Mail Stop B185, Aurora, CO, 80045, USA.
| | - Amy Amara
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
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Jiang Y, Zhu J, Zhao Y, Li D, Chen Y, Wang Y, Jiang X, Shen B, Pan Y, Yan J, Han F, Zhang L. Minor hallucinations in Parkinson's disease with probable rapid eye movement sleep behavior disorder. Front Neurosci 2023; 17:1205439. [PMID: 37645371 PMCID: PMC10461060 DOI: 10.3389/fnins.2023.1205439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Background Rapid eye movement sleep behavior disorder (RBD) and minor hallucinations (MHs) are prevalent nonmotor symptoms in Parkinson's disease (PD). The purpose of this study was to explore the association of MHs in PD patients with probable RBD (pRBD). Methods This cross-sectional study included 291 patients diagnosed with PD. Patients who scored 6 or higher on the Rapid Eye Movement Behavior Disorder (RBD) Screening Questionnaire were defined as pRBD. A comprehensive evaluation was performed for all patients, including the collection of demographic information, clinical assessment, and MH features. Results Among the 291 PD patients, 69 (23.7%) had pRBD. MHs were observed in 35 (50.7%) patients with pRBD, significantly higher than 29.7% in patients without RBD (p = 0.015). The main type of MHs in pRBD was presence hallucinations with variable content. Patients with pRBD and MHs tended to be older, had a longer disease duration, and were more likely to take levodopa or dopamine-receptor agonists. Besides, the pRBD with MHs group had higher scores on the Nonmotor Symptoms Questionnaire (NMS-Quest) and Hamilton Anxiety Scale (HAMA). Binary logistic regression analysis revealed that longer disease duration and higher NMS-Quest scores were associated with MHs in PD patients with pRBD. Conclusion A high prevalence of MHs was observed in PD patients with pRBD. The main type of MHs in pRBD was presence hallucinations. MHs in PD with RBD are mainly associated with disease duration and severity of nonmotor symptoms. These findings provide new insights into the interaction between MHs and RBD.
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Affiliation(s)
- Yinyin Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Zhu
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yang Zhao
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Dongfeng Li
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yaning Chen
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yaxi Wang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xu Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Bo Shen
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yang Pan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Yan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Feng Han
- School of Pharmacy, Nanjing Medical University, Nanjing, China
- Institute of Brain Science, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- Institute of Neuropsychiatric Diseases, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
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Tan S, Zhou C, Wen J, Duanmu X, Guo T, Wu H, Wu J, Cao Z, Liu X, Chen J, Wu C, Qin J, Xu J, Gu L, Yan Y, Zhang B, Zhang M, Guan X, Xu X. Presence but not the timing of onset of REM sleep behavior disorder distinguishes evolution patterns in Parkinson's disease. Neurobiol Dis 2023; 180:106084. [PMID: 36931531 DOI: 10.1016/j.nbd.2023.106084] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND Rapid eye movement (REM) sleep behavior disorder (RBD) could develop preceding or come after motor symptoms during Parkinson's disease (PD). It remains unknown that whether PD with different timing of RBD onset relative to motor symptoms suggests different spatiotemporal sequence of neurodegeneration. This study aimed to explore the sequence of disease progression in crucially involved brain regions in PD with different timing of RBD onset. METHOD We recruited 157 PD, 16 isolated RBD (iRBD), and 78 healthy controls. PD patients were identified as (1) PD with RBD preceding motor symptoms (PD-preRBD, n = 50), (2) PD with RBD posterior to motor symptoms (PD-postRBD, n = 31), (3) PD without RBD (PD-nonRBD, n = 75). The volumes of crucial brain regions, including the basal ganglia and limbic structures in T1-weighted imaging, and the contrast-noise-ratios of locus coeruleus (LC) and substantia nigra (SN) in neuromelanin-sensitive magnetic resonance imaging, were extracted. To simulate the sequence of disease progression for cross-sectional data, an event-based model was introduced to estimate the maximum likelihood sequence of regions' involvement for each group. Then, a statistical parameter, the Bhattacharya coefficient (BC), was used to evaluate the similarity of the sequence. RESULTS The model predicted that SN occupied the highest likelihood in the maximum likelihood sequence of disease progression in the all PD subgroups, while LC was specifically positioned earlier to SN in iRBD, a prodromal phase of PD. Subsequent early involvement of LC was observed in the both PD-preRBD and PD-postRBD. In contrast, atrophy in the para-hippocampal gyrus but relatively intact LC in the early stage was demonstrated in PD-nonRBD. Then, the similarity comparisons indicated higher BC between PD-postRBD and PD-preRBD (BC = 0.76) but lower BC between PD-postRBD and PD-nonRBD group (BC = 0.41). iRBD had higher BC against PD-preRBD (BC = 0.66) and PD-postRBD (BC = 0.63) but lower BC against PD- nonRBD (BC = 0.48). CONCLUSION The spatiotemporal sequence of neurodegeneration between PD-pre and PD-post were similar but distinct from PD-nonRBD. The presence of RBD may be the essential factor for differentiating the degeneration patterns of PD, but the timing of RBD onset has currently proved to be not.
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Affiliation(s)
- Sijia Tan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojie Duanmu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Chenqing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jianmei Qin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingjing Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Luyan Gu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yaping Yan
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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