Publications by authors named "Hilal S"

Background: Cognitive impairment is a growing concern in Southeast Asian populations, where the burden of cerebrovascular disease (CeVD) is high. Currently, there is no point-based scoring system for identifying cognitive impairment in these populations.

Objective: To develop and validate a simple point-based Cognitive Impairment Scoring System (CISS) for identifying individuals with cognitive impairment no dementia (CIND) and concomitant CeVD in Southeast Asian populations.

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Background: Left ventricular (LV) geometric patterns are associated with cognitive impairment and cerebral small vessel disease. As a novel magnetic resonance imaging marker of cerebral small vessel disease and a risk factor for cognitive dysfunction, cortical cerebral microinfarcts (CMIs) have been associated with heart disease through mechanisms including cardioembolism and cerebral hypoperfusion. Further investigation is required to determine whether cortical CMIs could arise from hemodynamic changes related to LV geometry, thus elucidating the connection between LV geometry and cognitive function.

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Brain serotonin dysregulation is associated with dementia and neuropsychiatric symptomology. However, the prognostic utility of circulating serotonin levels in detecting features of prodromal dementia including functional decline, cognitive impairment, mild behavioural impairment and brain atrophy remains unclear. In this prospective study of memory clinic subjects followed-up for ≤5 years, dementia-free subjects, classified as having no cognitive impairment or cognitive impairment, no dementia at baseline, underwent annual neuropsychological assessments including Montreal Cognitive Assessment, Global Cognition scores and Clinical Dementia Rating Scale Global Scores (where a ≥ 0.

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Blood-brain barrier (BBB) dysfunction is suggested to be a potential mediator between vascular risk factors and cognitive impairment, leading to vascular cognitive impairment. To investigate the relationships between age, sex, and vascular risk factors and BBB water permeability as well as their relationship with cognition. To measure BBB permeability, a novel arterial spin labelling MRI technique (ME-ASL) was applied to derive the time of exchange (Tex), arterial time transit (ATT), and cerebral blood flow (CBF).

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Introduction: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep-learning algorithm using OCT to detect AD and MCI.

Methods: We performed a cross-sectional study involving 228 Asian participants (173 cases/55 controls) for model development and testing on 68 Asian (52 cases/16 controls) and 85 White (39 cases/46 controls) participants.

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Introduction: Using an Asian cohort with high prevalence of concomitant cerebrovascular disease (CeVD), we evaluated the performance of a plasma immunoassay for tau phosphorylated at threonine 217 (p-tau217) in detecting amyloid beta positivity (Aβ+) on positron emission tomography and cognitive decline, based on a three-range reference, which stratified patients into low-, intermediate-, and high-risk groups for Aβ+.

Methods: Brain amyloid status (Aβ- [n = 142] vs Aβ+ [n = 73]) on amyloid PET scans was assessed along with the plasma ALZpath p-tau217 assay to derive three-range reference points for PET Aβ+ based on 90% sensitivity (lower threshold) and 90% specificity (upper threshold).

Results: Plasma p-tau217 (area under the curve [AUC] = 0.

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Background: White matter hyperintensities (WMH) have been implicated in the pathogenesis of neuropsychiatric symptoms of dementia but the functional significance of WMH in specific white matter (WM) tracts is unclear. We investigate whether WMH burden within major WM fibre classes and individual WM tracts are differentially associated with different neuropsychiatric syndromes in a large multicentre study.

Method: Neuroimaging and neuropsychiatric data of seven memory clinic cohorts through the Meta VCI Map consortium were harmonised.

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Article Synopsis
  • Accurate diagnosis of Alzheimer's disease and vascular dementia is vital for timely treatment and better patient outcomes; this study focused on plasma and retinal biomarkers for differentiation among cognitive impairment groups.
  • The study involved 509 participants aged 50 and older, categorized into groups based on cognitive function using clinical assessments, neuropsychological tests, and MRI scans.
  • The findings revealed that both retinal layer thickness and plasma biomarker levels varied significantly across cognitive impairment levels, with decreases seen in retinal thickness and increases in plasma biomarkers from normal cognition to dementia.
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Background: Dementia poses a significant burden on healthcare systems. Early identification of individuals at risk for cognitive decline is crucial. The retina, an extension of the central nervous system, reflects neurodegenerative changes.

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Background: Neurocognitive and neuropsychiatric symptoms are essential clinical manifestations of age-related cognitive impairment, yet their patterns of co-existence remain unclear through the cognitive continuum.

Objective: To examine the associations of person-centered cluster-derived patterns, based on a comprehensive collection of domain-specific cognitive and neuropsychiatric assessments, with neuroimaging markers and dementia risk.

Methods: 641 participants were included in the analysis from memory clinics in Singapore.

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Introduction: We investigated the effects of multiple cerebrovascular disease (CeVD) neuroimaging markers on brain functional connectivity (FC), and how such CeVD-related FC changes interact with plasma phosphorylated tau (p-tau)181 (an Alzheimer's disease [AD] marker) to influence downstream neurodegeneration and cognitive changes.

Methods: Multivariate associations among four CeVD markers and whole-brain FC in 529 participants across the dementia spectrum were examined using partial least squares correlation. Interactive effects of CeVD-related FC patterns and p-tau181 on longitudinal gray matter volume (GMV) and cognitive changes were investigated using linear mixed-effects models.

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Background: The association between platelet endothelial cell adhesion molecule-1 (PECAM-1) with cerebral small-vessel disease and cognition in dementia-free subjects remains uninvestigated.

Methods And Results: A prospective cohort of dementia-free subjects was recruited from memory clinics and followed up for 5 years. Annual neurocognitive assessments and twice-yearly brain magnetic resonance imaging scans were performed.

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Emerging studies have suggested the association of ambient air pollution with worse cognitive function; however, causal evidence remains scarce. We aimed to estimate the effect of particulate matter (PM) exposure on overall and domain-specific cognitive function. A total of 14,205 participants aged 45 years and above were drawn from the 2015 wave of the China Health and Retirement Longitudinal Study (CHARLS).

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  • Subcortical brain structures play a crucial role in various developmental and psychiatric disorders, and a study analyzed brain volumes in 74,898 individuals, identifying 254 genetic loci linked to these volumes, which accounted for up to 35% of variation.
  • The research included exploring gene expression in specific neural cell types, focusing on genes involved in intracellular signaling and processes related to brain aging.
  • The findings suggest that certain genetic variants not only influence brain volume but also have potential causal links to conditions like Parkinson’s disease and ADHD, highlighting the genetic basis for risks associated with neuropsychiatric disorders.
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  • Cerebral small vessel disease (SVD) can lead to various cerebrovascular issues, but research on sex differences in SVD is limited.
  • This study analyzed data from over 20,000 patients with acute ischemic stroke to examine whether the presence and severity of cerebral microbleeds (CMB) and other SVD markers differ between males and females.
  • Results showed that males had more frequent CMB while females had fewer lacunes but higher severe white matter hyperintensities, indicating distinct SVD characteristics based on sex.
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  • White matter hyperintensities (WMH) are linked to cognitive impairment but solely measuring their volume doesn't fully explain the cognitive deficits.
  • Lesion network mapping (LNM) offers a new way to assess how WMH connects with brain networks, potentially improving our understanding of their impact on cognition.
  • In a study of 3,485 patients, LNM scores outperformed WMH volumes in predicting cognitive performance, especially in attention, processing speed, and verbal memory, but not for language functions.
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  • Subcortical brain structures play a crucial role in various disorders, and a study analyzed the genetic basis of brain volumes in nearly 75,000 individuals of European ancestry, revealing 254 loci linked to these volumes.
  • The research identified significant gene expression in neural cells, relating to brain aging and signaling, and found that polygenic scores could predict brain volumes across different ancestries.
  • The study highlights genetic connections between brain volumes and conditions like Parkinson's disease and ADHD, suggesting specific gene expression patterns could be involved in neuropsychiatric disorders.
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  • Cognitive impairment is linked to diabetes, but how they affect each other and impact long-term cognitive outcomes, particularly in older adults with cerebrovascular disease, isn't well understood.
  • A study involving 654 participants analyzed brain MRIs and cognitive tests over 5 years, focusing on various cerebrovascular disease markers.
  • Results indicated that diabetes negatively impacts cognitive performance, particularly in individuals with high levels of white matter hyperintensities, rather than functioning independently or significantly affecting Alzheimer biomarkers.
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Aim: This study aims to investigate international students' perspectives on service quality and analyse factors contributing to the perceived service quality of the university health centre.

Background: International students are at increased risk of experiencing poor mental health, isolation from families and cultures, language barriers, financial stress and academic pressures. It is important that universities support international students to enable them to complete their degrees and reach their desired level of achievement and performance.

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  • A study involving 272 memory clinic participants aimed to explore the relationship between stiffness in aortic and carotid arteries and various aspects of cerebrovascular disease, cognition, and dementia subtypes.
  • Researchers used applanation tonometry and carotid ultrasonography to measure artery stiffness and assessed cognitive function through tests like MMSE and MoCA.
  • Results indicated that carotid artery stiffness was significantly linked to markers of cerebrovascular disease and cognitive impairment, showing a stronger impact than aortic stiffness on these health issues.
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  • - This study investigates how various predictor domains contribute to predicting dementia in older adults and aims to improve a basic dementia risk prediction model (DRPM) by adding five different types of predictors.
  • - Using data from the UK Biobank, the researchers collected 55 predictors grouped into clinical history, questionnaires, cognitive tests, genetic risk, and neuroimaging to analyze their impact on predicting all-cause dementia, Alzheimer's disease, and vascular dementia.
  • - The findings showed that neuroimaging yielded the highest added value for predicting dementia types, suggesting that using a combination of different predictor domains can enhance prediction accuracy, although selecting predictors involves some trade-offs.
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Background: Housing has been associated with dementia risk and disability, but associations of housing with differential patterns of neuropsychiatric symptoms (NPS) among dementia-free older adults remain to be explored. The present study sought to explore the contribution of housing status on NPS and subsyndromes associated with cognitive dysfunction in community-dwelling dementia-free elderly in Singapore.

Methods: A total of 839 dementia-free elderly from the Epidemiology of Dementia in Singapore (EDIS) study aged ≥ 60 were enrolled in the current study.

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Telemedicine has gained popularity due to the increasing use of technology in our lives. However, no studies have explored the demographic factors affecting acceptability, desirability and adherence (ADA) to telemedicine in Singapore. Our study aims to evaluate the level of ADA of telemedicine services within demographic factors and to explore the association of potential demographic factors with the degree of acceptability, desirability and adherence of telemedicine among older adults in Singapore.

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Background: Marital factor has been associated with dementia and Alzheimer's disease, but there is limited evidence on the impact of holistic marital history over time.

Objective: This study aimed to examine association of marital history with cognition.

Methods: The study included 24,596 dementia-free participants from the Chinese Longitudinal Healthy Longevity Study (CLHLS).

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Aim: To examine physical activity levels in association with metabolic health and estimate the stability of metabolically healthy obese (MHO) phenotypes over a 2-year period.

Methods: In total, 2848 men and women from families at risk of the development of diabetes were recruited. Participants were classified as obese or non-obese and metabolic health was defined using five existing definitions.

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