AHFE Open AccessA spatial language abilities assessment model for diagnosing Chinese speakers in the prodromal stage of dementia
Abstract
This study investigates spatial language as a clinical biomarker for prodromal dementia in Chinese-speaking populations. A Virtual Reality (VR) assessment model was developed to evaluate spatial fluency, reference frame naming, and spatial memory in individuals with Mild Cognitive Impairment (MCI) versus healthy controls. The results demonstrate an exceptionally high correlation (r = 0.9431) between spatial language performance and the MoCA scale, validating the model’s diagnostic accuracy. Key findings indicate that while Static Spatial Relationship Expression (SRE-S) is a reliable indicator of overall cognitive stability, Allocentric Spatial Language Memorability (ASLM) exhibits the largest performance gap between groups. It confirms that the inability to linguistically encode environmental maps from a non-self perspective is a primary hallmark of early neurodegeneration. By establishing clear scoring norms, this research provides a non-invasive method for early detection and clinical intervention in dementia care among Chinese-speaking populations.
Keywords: Dementia, Mild Cognitive Impairment, Dementia Detection, Spatial Language, Spatial Knowledge, Chinese-speaking Populations
DOI: 10.54941/ahfe1007481
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