Laura Thi Germine
Biographic Data
| ID | 10504096 |
|---|---|
| NAME | Laura Thi Germine |
| GIVEN NAMES | Laura Thi |
| FAMILY NAME | Germine |
| SIGNATURE | GERMINE L T |
| AFFILIATIONS | (Psychological Sciences Section) |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 0 |
| EDITOR COUNT | 4 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Enhancing Dementia Classification for Diverse Demographic Groups
Objectives Alzheimer’s disease and related dementias significantly affect older adults’ quality of life. The clock-drawing test (CDT) is a widely used dementia screening tool due to its ease of administration and effectiveness. However, manual CDT-coding in large-scale studies can be time-intensive and prone to coding errors and is typically limited to ordinal responses. In this study, we developed a continuous CDT score using a deep learning neu…
Deciphering Key Features of Social Resilience Versus Social Vulnerability in Later Life
Objectives Confronted with shrinking social networks, older adults exhibit individual differences in social adaptability, reflected as socially resilient versus socially vulnerable. The purpose of this study was to examine key features that reflect this social asymmetry in later life. Methods Three data sets were analyzed, with the training set (N = 424) included older adults from China, whereas 2 test sets (N1 = 2877, N2 = 2343) were from the Un…
Everyday Language and Cognitive Functioning in Late Life
Objectives Language deterioration is a marker of cognitive decline in late life. An emerging literature has examined features of language associated with executive functioning and working memory when older adults are cognitively healthy. This study aims to identify linguistic features that predict cognitive functioning in a sample of cognitively healthy individuals. Method Participants from the Daily Experiences and Well-being Study (DEWS; aged 6…
Insights into the Heterogeneity of Cognitive Aging
Objectives Cognitive aging entails diverse patterns of cognitive profiles, brain imaging, and biomarkers. Yet, few studies have explored the performance of multiple clustering algorithms on a single data set. Here, we employ data-driven methods to analyze neuropsychological performance in older individuals with normal cognition (NC) and mild cognitive impairment (MCI). Methods A total of 311 older adults without dementia completed a comprehensive…
Enhancing Dementia Classification for Diverse Demographic Groups
Objectives Alzheimer’s disease and related dementias significantly affect older adults’ quality of life. The clock-drawing test (CDT) is a widely used dementia screening tool due to its ease of administration and effectiveness. However, manual CDT-coding in large-scale studies can be time-intensive and prone to coding errors and is typically limited to ordinal responses. In this study, we developed a continuous CDT score using a deep learning neu…
Deciphering Key Features of Social Resilience Versus Social Vulnerability in Later Life
Objectives Confronted with shrinking social networks, older adults exhibit individual differences in social adaptability, reflected as socially resilient versus socially vulnerable. The purpose of this study was to examine key features that reflect this social asymmetry in later life. Methods Three data sets were analyzed, with the training set (N = 424) included older adults from China, whereas 2 test sets (N1 = 2877, N2 = 2343) were from the Un…
Everyday Language and Cognitive Functioning in Late Life
Objectives Language deterioration is a marker of cognitive decline in late life. An emerging literature has examined features of language associated with executive functioning and working memory when older adults are cognitively healthy. This study aims to identify linguistic features that predict cognitive functioning in a sample of cognitively healthy individuals. Method Participants from the Daily Experiences and Well-being Study (DEWS; aged 6…
Insights into the Heterogeneity of Cognitive Aging
Objectives Cognitive aging entails diverse patterns of cognitive profiles, brain imaging, and biomarkers. Yet, few studies have explored the performance of multiple clustering algorithms on a single data set. Here, we employ data-driven methods to analyze neuropsychological performance in older individuals with normal cognition (NC) and mild cognitive impairment (MCI). Methods A total of 311 older adults without dementia completed a comprehensive…
Enhancing Dementia Classification for Diverse Demographic Groups
Objectives Alzheimer’s disease and related dementias significantly affect older adults’ quality of life. The clock-drawing test (CDT) is a widely used dementia screening tool due to its ease of administration and effectiveness. However, manual CDT-coding in large-scale studies can be time-intensive and prone to coding errors and is typically limited to ordinal responses. In this study, we developed a continuous CDT score using a deep learning neu…
Deciphering Key Features of Social Resilience Versus Social Vulnerability in Later Life
Objectives Confronted with shrinking social networks, older adults exhibit individual differences in social adaptability, reflected as socially resilient versus socially vulnerable. The purpose of this study was to examine key features that reflect this social asymmetry in later life. Methods Three data sets were analyzed, with the training set (N = 424) included older adults from China, whereas 2 test sets (N1 = 2877, N2 = 2343) were from the Un…
Everyday Language and Cognitive Functioning in Late Life
Objectives Language deterioration is a marker of cognitive decline in late life. An emerging literature has examined features of language associated with executive functioning and working memory when older adults are cognitively healthy. This study aims to identify linguistic features that predict cognitive functioning in a sample of cognitively healthy individuals. Method Participants from the Daily Experiences and Well-being Study (DEWS; aged 6…
Insights into the Heterogeneity of Cognitive Aging
Objectives Cognitive aging entails diverse patterns of cognitive profiles, brain imaging, and biomarkers. Yet, few studies have explored the performance of multiple clustering algorithms on a single data set. Here, we employ data-driven methods to analyze neuropsychological performance in older individuals with normal cognition (NC) and mild cognitive impairment (MCI). Methods A total of 311 older adults without dementia completed a comprehensive…
Computer Science (4 works) · Psychology (4 works) · Dementia and Cognitive Impairment Research (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Cognitive psychology (2 works) · Audiology (1 work) · Biopsychosocial model (1 work) · Clinical Psychology (1 work) · Cluster analysis (1 work)