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  • 1
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 82, No. 3 ( 2021-08-03), p. 951-964
    Abstract: Background: Individuals with mild cognitive impairment (MCI) are at high risk of progression to Alzheimer’s disease (AD) dementia, but some remain stable. There is a need to identify those at higher risk of progression to improve patient management and outcomes. Objective: To evaluate the trajectory of plasma neurofilament light chain (pNFL) prior to progression from MCI to AD dementia, the performance of pNFL, in combination with the Mini-Mental State Examination (MMSE), as a predictor of progression from MCI to AD dementia and to inform clinicians on the use of pNFL as a predictive biomarker. Methods: Participants (n = 440) with MCI and longitudinal follow-up (mean = 4.2 years) from the AD Neuroimaging Initiative dataset were included. pNFL as a marker for neurodegeneration and the MMSE as a cognitive measure were investigated as simple/practical predictors of progression. The risk of progressing from MCI to AD dementia associated with pNFL and MMSE scores was assessed using Cox and logistic regression models. Results: The current risk of progression to AD dementia was 37%higher in individuals with high pNFL ( 〉  56 ng/L) compared to those with average pNFL (≤40 ng/L). A combination of baseline pNFL and MMSE could differentiate those who progressed within 5 years (AUC = 0.75) from stable individuals. Including change in MMSE over 6-12 months further improved the model (AUC = 0.84). Conclusion: Our findings reveal that combining pNFL with a simple dementia screener (MMSE) can reliably predict whether a person with MCI is likely to progress to AD dementia within 5 years.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2021
    detail.hit.zdb_id: 2070772-1
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  • 2
    In: Hippocampus, Wiley, Vol. 19, No. 6 ( 2009-06), p. 533-540
    Abstract: In this article, we present a framework to perform statistical shape analysis for segmented hippocampi, including an efficient permutation test for detecting subtle class differences, and a regularized discriminative direction method for visualizing the shape discrepancy. Fisher permutation and bootstrap tests are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. In this article, an efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the shape descriptors onto an informative direction that preserves the original discriminative information as much as possible to generate a scalar test statistic. This informative direction is further used to seek a discriminative direction to isolate the discriminative shape difference between classes from the individual variability. Compared with existing methods, the discriminative direction used in this article is regularized by requiring that the shapes deformed along it respect the underlying shape distribution as well as reflecting the essential shape differences between two populations. Hence, a more accurate localization of difference is produced. We apply our methods to analyze the hippocampal shapes for controls and subjects with Alzheimer's disease from the publicly available OASIS MRI database. We show how to localize the shape differences between the two classes. © 2009 Wiley‐Liss, Inc.
    Type of Medium: Online Resource
    ISSN: 1050-9631 , 1098-1063
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 1498049-6
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  • 3
    In: Social Psychology, Hogrefe Publishing Group, Vol. 53, No. 6 ( 2022-11), p. 327-340
    Abstract: Abstract. The reinforcement sensitivity theory (RST) proposes that neurobiological systems mediate behavior and their functioning can be associated with personality. The functions and associations of RST systems were revised into fight–flight–freeze system (FFFS), behavioral approach/activation system (rBAS), and behavioral inhibition system (rBIS); however, there is limited study of the revised systems due to lack of validated measures. We investigated scale structure, sex invariance, and psychometric properties of the revised RST questionnaire (rRST-Q). The rRST-Q showed good fit as a 5-factor structure with free interfactor correlations and was sex invariant, and associations with personality and mental health measures were consistent with theory and literature. The rRST-Q is a reliable measure, and its use will help understand the link between brain, personality, and behavior.
    Type of Medium: Online Resource
    ISSN: 1864-9335 , 2151-2590
    Language: English
    Publisher: Hogrefe Publishing Group
    Publication Date: 2022
    detail.hit.zdb_id: 2404430-1
    detail.hit.zdb_id: 2404438-6
    SSG: 2,1
    SSG: 5,2
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  Menopause Vol. 26, No. 11 ( 2019-09-16), p. 1327-1333
    In: Menopause, Ovid Technologies (Wolters Kluwer Health), Vol. 26, No. 11 ( 2019-09-16), p. 1327-1333
    Abstract: The aim of the study was to determine lipid profile differences between premenopausal and postmenopausal women. Methods: The present review used a meta-analytic approach. Sixty-six studies were included, which provided a total sample of 114,655 women consisting of 68,394 that were premenopausal and 46,261 that were postmenopausal. Results: The main findings were that (1) lipoproteins were significantly higher in postmenopausal women compared to premenopausal women including triglycerides (0.27 mmol/L, 95% confidence interval, 0.22-0.31), total cholesterol (0.58, 0.50-0.65), low-density lipoprotein (0.45, 0.38-0.53), and total cholesterol to high-density lipoprotein levels (0.39, 0.16-0.62); (2) there was no difference in high-density lipoprotein levels between premenopausal and postmenopausal women (0.02, −0.00-0.04); and (3) the differences in lipid levels was partly attributable to the mean age difference between premenopausal and postmenopausal women. Conclusions: These findings are important as they provide precise estimates of lipid differences in women around menopause. Furthermore the results suggest that the unfavorable lipid profile that develops in postmenopausal women puts them at higher risk of cardiovascular disease such as heart disease and stroke if appropriate lifestyle/pharmacological interventions are not implemented.
    Type of Medium: Online Resource
    ISSN: 1530-0374
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2071114-1
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  • 5
    In: British Journal of Sports Medicine, BMJ, Vol. 52, No. 3 ( 2018-02), p. 154-160
    Abstract: Physical exercise is seen as a promising intervention to prevent or delay cognitive decline in individuals aged 50 years and older, yet the evidence from reviews is not conclusive. Objectives To determine if physical exercise is effective in improving cognitive function in this population. Design Systematic review with multilevel meta-analysis. Data sources Electronic databases Medline (PubMed), EMBASE (Scopus), PsychINFO and CENTRAL (Cochrane) from inception to November 2016. Eligibility criteria Randomised controlled trials of physical exercise interventions in community-dwelling adults older than 50 years, with an outcome measure of cognitive function. Results The search returned 12 820 records, of which 39 studies were included in the systematic review. Analysis of 333 dependent effect sizes from 36 studies showed that physical exercise improved cognitive function (0.29; 95% CI 0.17 to 0.41; p 〈 0.01). Interventions of aerobic exercise, resistance training, multicomponent training and tai chi, all had significant point estimates. When exercise prescription was examined, a duration of 45–60 min per session and at least moderate intensity, were associated with benefits to cognition. The results of the meta-analysis were consistent and independent of the cognitive domain tested or the cognitive status of the participants. Conclusions Physical exercise improved cognitive function in the over 50s, regardless of the cognitive status of participants. To improve cognitive function, this meta-analysis provides clinicians with evidence to recommend that patients obtain both aerobic and resistance exercise of at least moderate intensity on as many days of the week as feasible, in line with current exercise guidelines.
    Type of Medium: Online Resource
    ISSN: 0306-3674 , 1473-0480
    Language: English
    Publisher: BMJ
    Publication Date: 2018
    detail.hit.zdb_id: 2003204-3
    SSG: 31
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  • 6
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychology Vol. 12 ( 2021-12-20)
    In: Frontiers in Psychology, Frontiers Media SA, Vol. 12 ( 2021-12-20)
    Abstract: The reinforcement sensitivity theory (RST) proposes that neurobiological systems mediate protective and appetitive behaviours and the functioning of these systems is associated to personality traits. In this manner, the RST is a link between neuroscience, behaviour, and personality. The theory evolved to the present revised version describing three systems: fight-flight-freezing, behavioural approach/activation (BAS), and behavioural inhibition (BIS). However, the most widely available measure of the theory, the BIS/BAS scales, only investigates two systems. Using a large longitudinal community survey, we found that the BIS/BAS scales can be re-structured to investigate the three systems of the theory with a BIS scale, three BAS scales, and a separate fight-flight-freezing system (FFFS) scale. The re-structured scales were age, sex, and longitudinally invariant, and associations with personality and mental health measures followed theoretical expectations and previously published associations. The proposed framework can be used to investigate behavioural choices influencing physical and mental health and bridge historical with contemporary research.
    Type of Medium: Online Resource
    ISSN: 1664-1078
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2563826-9
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  • 7
    Online Resource
    Online Resource
    MDPI AG ; 2018
    In:  Nutrients Vol. 11, No. 1 ( 2018-12-24), p. 38-
    In: Nutrients, MDPI AG, Vol. 11, No. 1 ( 2018-12-24), p. 38-
    Abstract: Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educational, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature, where relevant publications may be found. In this study, we present a new way to map the literature landscape, focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by the focus on lifespan stages (e.g., infancy versus older age), and specificity regarding nutrition (e.g., a narrow focus on iodine deficiency versus a broad focus on weight gain). Rather than concentrating into a single cluster, interventions were present throughout the majority of the research. We conclude that a data-driven map of the nutritional intervention literature can benefit the design of future interventions, by highlighting topics and themes that could be synthesized across currently disconnected clusters of publications.
    Type of Medium: Online Resource
    ISSN: 2072-6643
    Language: English
    Publisher: MDPI AG
    Publication Date: 2018
    detail.hit.zdb_id: 2518386-2
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  • 8
    In: Alzheimer's Research & Therapy, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2017-12)
    Type of Medium: Online Resource
    ISSN: 1758-9193
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
    detail.hit.zdb_id: 2506521-X
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  • 9
    In: Psychology and Aging, American Psychological Association (APA), Vol. 29, No. 2 ( 2014-06), p. 393-403
    Type of Medium: Online Resource
    ISSN: 1939-1498 , 0882-7974
    Language: English
    Publisher: American Psychological Association (APA)
    Publication Date: 2014
    detail.hit.zdb_id: 2068707-2
    SSG: 5,2
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  • 10
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Menopause Vol. 28, No. 2 ( 2020-10-26), p. 167-174
    In: Menopause, Ovid Technologies (Wolters Kluwer Health), Vol. 28, No. 2 ( 2020-10-26), p. 167-174
    Abstract: To investigate the cross-sectional association between measures of menstruation history (including menopausal status, age of menopause, age of menarche, and duration of reproductive stage) and brain volume. Methods: Women (aged 45 to 79 years) from the UK Biobank were included ( n  = 5,072) after excluding those who had (1) hysterectomy or bilateral oophorectomy, (2) ever used menopausal hormone therapy, (3) ever had a stroke, or (4) were perimenopausal. Multiple linear hierarchical regression models were computed to quantify the cross-sectional association between measures of menstruation history and brain volume. Sensitivity analysis based on propensity matching for age (and other demographic/health covariates) were applied to estimate differences in brain volumes between matched premenopausal and postmenopausal women. Results: Postmenopausal women had 1.06% (95% confidence interval [CI]; 1.05-1.06) and 2.17% (95% CI, 2.12-2.22) larger total brain volume (TBV) and hippocampal volumes (HV), respectively, than premenopausal women. Sensitivity analysis with age matched samples produced consistent results (TBV: 0.82%, 95% CI, 0.25-1.38; HV: 1.33%, 95% CI, 0.01-2.63). For every year increase in age above 45 years, postmenopausal women experienced 0.23% greater reduction in TBV than premenopausal women (95% CI, −0.60 to −0.14), which was not observed for HV. Moreover, every 1 year delayed onset of menopause after 45 was associated with 0.32% (95% CI, −0.35 to −0.28) and 0.31% (95% CI, −0.40 to −0.22) smaller TBV and HV, respectively. Every additional year in age of menarche was associated with 0.10% (95% CI, 0.04-0.16) larger TBV, which was not detected for HV. Similarly, every 1 year increase in duration of reproductive stage was associated with 0.09% smaller TBV (95% CI, −0.15 to −0.03), which was not detected for HV. Conclusions: Menopause may contribute to brain volume beyond typical aging effects. Furthermore, early age of menarche, delayed age of menopause and increasing duration of reproductive stage were negatively associated with brain volume. Further research is required to determine whether the negative association between age of menopause and HV is potentially an indicator of future vulnerability for dementia.
    Type of Medium: Online Resource
    ISSN: 1530-0374
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2071114-1
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