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We aimed to disentangle within-person and between-person effects in the temporal relationship between depressive symptoms and cognitive function. We performed a prospective population-based cohort study on participants of the Survey of Health, Ageing and Retirement in Europe. Cognitive function was assessed by tests on verbal fluency, immediate recall and delayed recall. Depressive symptoms were measured with EURO-D scale. To determine the temporal order of the association between cognitive function and depressive symptoms, we employed the fully saturated cross-lagged panel model (between-person effects), and random intercept cross-lagged panel model (within-person effects). In 59,311 participants (mean age 65, ranging 46–100), between-person effects showed a bi-directional relationship that could be seen in three stages: First, the effect of cognitive function on depressive symptoms was initially slightly stronger than vice versa. Second, the effect of depressive symptoms on cognitive function became stronger during the follow-up. Third, all effects were small and no direction dominated. Within-person effects, however, revealed a dominant effect from depressive symptoms on cognitive function. Some effects from cognitive function on depressive symptoms were apparent only in older adults, in particular men. All effects were small and strongest for individuals aged 65 years and above. The sample is healthier than general population and thus not fully representative. A comprehensive cognitive battery was not available. Long-term relationship between depressive symptoms and cognitive function is bi-directional. However, to achieve improvement in an individual in the short-term, the focus should be on decreasing depressive symptoms to improve cognitive function. • Lower cognitive function over a long period of time is associated with higher depressive symptoms and vice versa. • Short-term increases in depressive symptoms are harmful on the cognitive function and not the other way around. • To achieve improvement in an individual in the short-term run, the focus should be on decreasing depressive symptoms. [ABSTRACT FROM AUTHOR]

Abstract Background We aimed to determine the prevalence and gap in use of mental health services for late-life depression in four European regions (Western Europe, Scandinavia, Southern Europe and Central and Eastern Europe) and explore socio-demographic, social and health-related factors associated with it. Methods We conducted a cross-sectional study based on data from the Survey on Health, Ageing and Retirement in Europe. Participants were a population-based sample of 28 796 persons (53% women, mean age 74 years old) residing in Europe. Mental health service use was estimated using information about the diagnosis or treatment for depression. Results The prevalence of late-life depression was 29% in the whole sample and was highest in Southern Europe (35%), followed by Central and Eastern Europe (32%), Western Europe (26%) and lowest in Scandinavia (17%). Factors that had the strongest association with depression were total number of chronic diseases, pain, limitations in instrumental activities of daily living, grip strength and cognitive impairment. The gap in mental health service use was 79%. Conclusions We suggest that interventions to decrease the burden of late-life depression should be targeted at individuals that are affected by chronic somatic comorbidities and are limited in mental and physical functioning. Promotion of help-seeking of older adults, de-stigmatization of mental illness and education of general practitioners could help decrease the gap in mental health service utilization. [ABSTRACT FROM AUTHOR]

Purpose -- The purpose of this paper is to scope potential and gaps in European cohort studies with focus on brain ageing and neurodegeneration. Design/methodology/approach -- Combined and augmented two scoping exercises conducted for European Union Joint Programme on Neurodegenerative Diseases (JPND) and the Alzheimer Society UK. Findings -- In total, 106 cohorts initially identified with a further 52 found on second sweep. Strengths include gender balance, diversity of measures and much detail on health and health behaviours, and lifecourse representation. Major gaps identified were the oldest old, non-Caucasians, people in Eastern Europe, migrant populations, rural residents and people in long-term care. Quality of life, psychosocial and environmental factors were limited. Relatively few cohorts are population representative. Analytical methods for combining studies and longitudinal analysis require careful consideration. Research limitations/implications -- European studies and published information only. Practical implications -- Collaboration across disciplines and studies, greater dissemination of methods and findings will improve knowledge about cognitive and functional decline in current and future older populations. Social implications -- Better understanding of brain ageing and the dementia syndrome will improve investment decisions for primary, secondary and tertiary prevention. Originality/value -- Building on the work of JPND and the Alzheimer Society is the first study of the scope and limitations of current cohorts in Europe. It is designed to help researchers and policy makers in their planning. [ABSTRACT FROM AUTHOR]

Introduction: Clinical research with remote monitoring technologies (RMTs) has multiple advantages over standard paper-pencil tests, but also raises several ethical concerns. While several studies have addressed the issue of governance of big data in clinical research from the legal or ethical perspectives, the viewpoint of local research ethics committee (REC) members is underrepresented in the current literature. The aim of this study is therefore to find which specific ethical challenges are raised by RECs in the context of a large European study on remote monitoring in all syndromic stages of Alzheimer's disease, and what gaps remain., Methods: Documents describing the REC review process at 10 sites in 9 European countries from the project Remote Assessment of Disease and Relapse-Alzheimer's Disease (RADAR-AD) were collected and translated. Main themes emerging in the documents were identified using a qualitative analysis approach., Results: Four main themes emerged after analysis: data management, participant's wellbeing, methodological issues, and the issue of defining the regulatory category of RMTs. Review processes differed across sites: process duration varied from 71 to 423 days, some RECs did not raise any issues, whereas others raised up to 35 concerns, and the approval of a data protection officer was needed in half of the sites., Discussion: The differences in the ethics review process of the same study protocol across different local settings suggest that a multi-site study would benefit from a harmonization in research ethics governance processes. More specifically, some best practices could be included in ethical reviews across institutional and national contexts, such as the opinion of an institutional data protection officer, patient advisory board reviews of the protocol and plans for how ethical reflection is embedded within the study., Competing Interests: The authors have read the journal’s policy and have the following competing interests: IK is a paid medical advisor for digital healthcare technology companies Five Lives SAS and Cognetivity Ltd., outside the submitted work. CA has received honoraria as speaker from F. Hoffmann-La Roche Ltd, Zambon, Nutricia, Schwabe Farma Ibérica S.A.U, outside of the submitted work. CA is a member of the Board of Directors of the Lewy Body Dementia Association, outside the submitted work. DA has received research support and/or honoraria from Astra-Zeneca, H. Lundbeck, Novartis Pharmaceuticals, Biogen, and GE Health, and served as paid consultant for H. Lundbeck, Eisai, Heptares, Mentis Cura, and Roche Diagnostics, outside the submitted work. MB is an employee of the Ace Alzheimer Center and an advisory board member for Grifols, Roche, Eli Lilly, Araclon Biotech, Merck, Zambon, Biogen, Novo Nordisk, Bioiberica, Eisai, Servier, and Schwabe Pharma, outside the submitted work. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors have declared that no competing interests exist. There are no patents, products in development or marketed products associated with this research to declare., (Copyright: © 2023 Muurling et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: We assessed the influence of education as a proxy of cognitive reserve and age on the dementia with Lewy bodies (DLB) metabolic pattern., Methods: Brain 18F-fluorodeoxyglucose positron emission tomography and clinical/demographic information were available in 169 probable DLB patients included in the European DLB-consortium database. Principal component analysis identified brain regions relevant to local data variance. A linear regression model was applied to generate age- and education-sensitive maps corrected for Mini-Mental State Examination score, sex (and either education or age)., Results: Age negatively covaried with metabolism in bilateral middle and superior frontal cortex, anterior and posterior cingulate, reducing the expression of the DLB-typical cingulate island sign (CIS). Education negatively covaried with metabolism in the left inferior parietal cortex and precuneus (making the CIS more prominent)., Discussion: These findings point out the importance of tailoring interpretation of DLB biomarkers considering the concomitant effect of individual, non-disease-related variables such as age and cognitive reserve., (© 2021 the Alzheimer's Association.)

Background: Functional decline in Alzheimer's disease (AD) is typically measured using single-time point subjective rating scales, which rely on direct observation or (caregiver) recall. Remote monitoring technologies (RMTs), such as smartphone applications, wearables, and home-based sensors, can change these periodic subjective assessments to more frequent, or even continuous, objective monitoring. The aim of the RADAR-AD study is to assess the accuracy and validity of RMTs in measuring functional decline in a real-world environment across preclinical-to-moderate stages of AD compared to standard clinical rating scales., Methods: This study includes three tiers. For the main study, we will include participants (n = 220) with preclinical AD, prodromal AD, mild-to-moderate AD, and healthy controls, classified by MMSE and CDR score, from clinical sites equally distributed over 13 European countries. Participants will undergo extensive neuropsychological testing and physical examination. The RMT assessments, performed over an 8-week period, include walk tests, financial management tasks, an augmented reality game, two activity trackers, and two smartphone applications installed on the participants' phone. In the first sub-study, fixed sensors will be installed in the homes of a representative sub-sample of 40 participants. In the second sub-study, 10 participants will stay in a smart home for 1 week. The primary outcome of this study is the difference in functional domain profiles assessed using RMTs between the four study groups. The four participant groups will be compared for each RMT outcome measure separately. Each RMT outcome will be compared to a standard clinical test which measures the same functional or cognitive domain. Finally, multivariate prediction models will be developed. Data collection and privacy are important aspects of the project, which will be managed using the RADAR-base data platform running on specifically designed biomedical research computing infrastructure., Results: First results are expected to be disseminated in 2022., Conclusion: Our study is well placed to evaluate the clinical utility of RMT assessments. Leveraging modern-day technology may deliver new and improved methods for accurately monitoring functional decline in all stages of AD. It is greatly anticipated that these methods could lead to objective and real-life functional endpoints with increased sensitivity to pharmacological agent signal detection.

Dementia with Lewy Bodies (DLB) is a common neurodegenerative disorder with poor prognosis and mainly unknown pathophysiology. Heritability estimates exceed 30% but few genetic risk variants have been identified. Here we investigated common genetic variants associated with DLB in a large European multisite sample. We performed a genome wide association study in Norwegian and European cohorts of 720 DLB cases and 6490 controls and included 19 top-associated single-nucleotide polymorphisms in an additional cohort of 108 DLB cases and 75545 controls from Iceland. Overall the study included 828 DLB cases and 82035 controls. Variants in the ASH1L/GBA (Chr1q22) and APOE ε4 (Chr19) loci were associated with DLB surpassing the genome-wide significance threshold (p < 5 × 10 -8 ). One additional genetic locus previously linked to psychosis in Alzheimer's disease, ZFPM1 (Chr16q24.2), showed suggestive association with DLB at p-value < 1 × 10 -6 . We report two susceptibility loci for DLB at genome-wide significance, providing insight into etiological factors. These findings highlight the complex relationship between the genetic architecture of DLB and other neurodegenerative disorders.

Introduction: We explored regional brain atrophy patterns and their clinical correlates in dementia with Lewy bodies (DLB)., Methods: In this multicentre study, we included a total of 333 patients with DLB, 352 patients with Alzheimer's disease (AD), and 233 normal controls and used medial temporal lobe atrophy, posterior atrophy, and frontal atrophy (GCA-F) visual rating scales. Patients were classified according to four atrophy patterns., Results: Patients with DLB had higher scores on all the three atrophy scales than normal controls but had less medial temporal lobe atrophy than those with AD (all P values < .001). A signature hippocampal-sparing pattern of regional atrophy was observed in DLB. The magnetic resonance imaging measures showed 65% ability to discriminate between DLB and AD and marginally contributed to the discrimination over and above the core clinical features., Discussion: The most common pattern of atrophy of DLB was hippocampal-sparing. Future studies should explore whether comorbid AD pathology underlies the atrophy patterns seen in DLB., (Copyright © 2018. Published by Elsevier Inc.)

Introduction: Apolipoprotein E (APOE) ε4 is the major genetic risk factor for Alzheimer's disease (AD), but its prevalence is unclear because earlier studies did not require biomarker evidence of amyloid β (Aβ) pathology., Methods: We included 3451 Aβ+ subjects (853 AD-type dementia, 1810 mild cognitive impairment, and 788 cognitively normal). Generalized estimating equation models were used to assess APOE ε4 prevalence in relation to age, sex, education, and geographical location., Results: The APOE ε4 prevalence was 66% in AD-type dementia, 64% in mild cognitive impairment, and 51% in cognitively normal, and it decreased with advancing age in Aβ+ cognitively normal and Aβ+ mild cognitive impairment (P < .05) but not in Aβ+ AD dementia (P = .66). The prevalence was highest in Northern Europe but did not vary by sex or education., Discussion: The APOE ε4 prevalence in AD was higher than that in previous studies, which did not require presence of Aβ pathology. Furthermore, our results highlight disease heterogeneity related to age and geographical location., (Copyright © 2018 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.)