Interethnic differences in neuroimaging markers and cognition in Asians, a population-based study

Wong, Louis Choon Kit; Wong, Mark Yu Zheng; Tan, Chuen Seng; Vrooman, Henri A.; Venketasubramanian, Narayanaswamy; Cheng, Ching‐Yu; Chen, Christopher; Hilal, Saima

doi:10.1038/s41598-020-59618-8

Cited by 5 publications

(11 citation statements)

References 41 publications

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“…EDIS is a subsample of population-based study (i.e., Singapore Epidemiology of Eye Diseases) that identifies the prevalence and risk factors for cognitive impairment and dementia. Recruitment of participants and data collection methodology were described in previous study [ 25 ]. Briefly, the EDIS participants consist of Singaporean citizens or permanent residents from three ethnic groups (i.e., Chinese, Malay, and Indian) aged≥60 years.…”

Section: Methodsmentioning

confidence: 99%

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data

Tan

Hargreaves

Chen

et al. 2023

JAD

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Background: The major mechanisms of dementia and cognitive impairment are vascular and neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely interventions to mitigate progression. Objective: This study aims to develop a reliable machine learning (ML) model using socio-demographics, vascular risk factors, and structural neuroimaging markers for early diagnosis of cognitive impairment in a multi-ethnic Asian population. Methods: The study consisted of 911 participants from the Epidemiology of Dementia in Singapore study (aged 60– 88 years, 49.6% male). Three ML classifiers, logistic regression, support vector machine, and gradient boosting machine, were developed. Prediction results of independent classifiers were combined in a final ensemble model. Model performances were evaluated on test data using F1 score and area under the receiver operating curve (AUC) methods. Post modelling, SHapely Additive exPlanation (SHAP) was applied on the prediction results to identify the predictors that contribute most to the cognitive impairment prediction. Findings: The final ensemble model achieved a F1 score and AUC of 0.87 and 0.80 respectively. Accuracy (0.83), sensitivity (0.86), specificity (0.74) and predictive values (positive 0.88 negative 0.72) of the ensemble model were higher compared to the independent classifiers. Age, ethnicity, highest education attainment and neuroimaging markers were identified as important predictors of cognitive impairment. Conclusion: This study demonstrates the feasibility of using ML tools to integrate multiple domains of data for reliable diagnosis of early cognitive impairment. The ML model uses easy-to-obtain variables and is scalable for screening individuals with a high risk of developing dementia in a population-based setting.

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Section: Methodsmentioning

confidence: 99%

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data

Tan

Hargreaves

Chen

et al. 2023

JAD

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Section: Neurodegenerative Diseases In Asia Ethnicity Has Greater Imp...mentioning

confidence: 99%

“…55 In Asia itself, Wong and coworkers found that there were ethnic differences of neurodegenerative diseases neuroimaging markers in three major Asian ethnicities, which are Chinese, Malays, and Indians, with a higher burden of neurodegenerative markers (cognitive performance, intracranial stenosis, and cortical atrophy) in Malays and Indians than in the Chinese. 56 As a consequence of population aging, it is predicted that in 2050 there will be 2.7 times more dementia cases than in 2019. 57 Dementia prevalence in Asia has been known previously to be lower than dementia prevalence in Western.…”

Section: Neurodegenerative Diseases In Asia Ethnicity Has Greater Imp...mentioning

confidence: 99%

Neurodegenerative diseases and blood pressure variability: A comprehensive review from HOPE Asia

Turana

Shen

Nathaniel

et al. 2022

J of Clinical Hypertension

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Asia has an enormous number of older people and is the primary contributor to the rise in neurodegenerative diseases such as Alzheimer's and Parkinson's disease. The therapy of many neurodegenerative diseases has not yet progressed to the point where it is possible to alter the course of the disease. Mid‐life hypertension is an important predictor of later‐life cognitive impairment and brain neurodegenerative conditions. These findings highlight the pivotal role of preventing and managing hypertension as a risk factor for neurodegenerative disease. Autonomic dysfunction, neuropsychiatric and sleep disturbances can arise in neurodegenerative diseases, resulting in blood pressure variability (BPV). The BPV itself can worsen the progression of the disease. In older people with neurodegenerative disease and hypertension, it is critical to consider 24‐h blood pressure monitoring and personalized blood pressure therapy.

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“…Previous epidemiological studies have highlighted that overall dementia prevalence can vary substantially across different ethnic groups and geographical regions ( 149 ). These differences in dementia prevalence rates have been attributed to different susceptibility to pathological brain changes in each ethnicity ( 150 ). In this sense, neuroimaging research in Brazil should consider these aspects.…”

Section: Peculiarities and Challenges That Hinder Neuroimaging Dementmentioning

confidence: 99%

Neuroimaging Research on Dementia in Brazil in the Last Decade: Scientometric Analysis, Challenges, and Peculiarities

2021

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The last years have evinced a remarkable growth in neuroimaging studies around the world. All these studies have contributed to a better understanding of the cerebral outcomes of dementia, even in the earliest phases. In low- and middle-income countries, studies involving structural and functional neuroimaging are challenging due to low investments and heterogeneous populations. Outstanding the importance of diagnosing mild cognitive impairment and dementia, the purpose of this paper is to offer an overview of neuroimaging dementia research in Brazil. The review includes a brief scientometric analysis of quantitative information about the development of this field over the past 10 years. Besides, discusses some peculiarities and challenges that have limited neuroimaging dementia research in this big and heterogeneous country of Latin America. We systematically reviewed existing neuroimaging literature with Brazilian authors that presented outcomes related to a dementia syndrome, published from 2010 to 2020. Briefly, the main neuroimaging methods used were morphometrics, followed by fMRI, and DTI. The major diseases analyzed were Alzheimer's disease, mild cognitive impairment, and vascular dementia, respectively. Moreover, research activity in Brazil has been restricted almost entirely to a few centers in the Southeast region, and funding could be the main driver for publications. There was relative stability concerning the number of publications per year, the citation impact has historically been below the world average, and the author's gender inequalities are not relevant in this specific field. Neuroimaging research in Brazil is far from being developed and widespread across the country. Fortunately, increasingly collaborations with foreign partnerships contribute to the impact of Brazil's domestic research. Although the challenges, neuroimaging researches performed in the native population regarding regional peculiarities and adversities are of pivotal importance.

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Interethnic differences in neuroimaging markers and cognition in Asians, a population-based study

Cited by 5 publications

References 41 publications

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data

Neurodegenerative diseases and blood pressure variability: A comprehensive review from HOPE Asia

Neuroimaging Research on Dementia in Brazil in the Last Decade: Scientometric Analysis, Challenges, and Peculiarities

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