Ontology highlight
ABSTRACT: Background
The global increase in elderly populations, particularly in low- and middle-income countries, underscores the rising prevalence of age-related conditions, such as Alzheimer's disease. Structural magnetic resonance imaging (MRI) plays a crucial role in Alzheimer's disease research and early diagnosis; however, manual brain segmentation is labor-intensive, time-consuming, and prone to inter-rater variability. Automated segmentation using existing brain templates from Mongoloid, Caucasoid, and Negroid populations may not be suitable for Thai individuals due to anatomical differences, emphasizing the need for population-specific templates. This study aimed to develop structural MRI brain templates tailored for cognitively normal Thai adults aged 50-70 years, using both singl
SUBMITTER: Pinyopornpanish K
PROVIDER: S-EPMC12682506 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature