Neurodegeneration Biomarkers: Correlation between Hippocampal Volume and Cognitive Performance by MoCA Test in Parkinson's Disease
YAMIL MATUK PEREZ1, EMILIA FERNANDEZ CALLEJA2, DANIELA RESENDIZ GONZALEZ3, SARAEL ALCAUTER SOLORZANO4, JUAN MANUEL ESQUIVIAS FARIAS4
1HOSPITAL ANGELES CENTRO SUR, PARKINSONCARE, 2HOSPITAL ANGELES CENTRO SUR, UNIVERSIDAD DEL VALLE DE MEXICO, 3HOSPITAL ANGELES CENTRO SUR, UNIVERSIDAD AUTONOMA DE QUERETARO, 4HOSPITAL ANGELES CENTRO SUR, UNAM
Objective:
This study aims to examine the relationship between hippocampal volume, assessed through magnetic resonance imaging (MRI), and MoCA test scores in patients diagnosed with Parkinson's Disease (PD).
Background:
Parkinson's Disease (PD) is a neurodegenerative disorder that affects mobility and cognitive function. Cognitive decline is prevalent among patients, often linked to hippocampal atrophy. Understanding the correlation between hippocampal volume and cognitive performance can provide valuable biomarkers for early diagnosis and management of cognitive deterioration in PD, ultimately improving patient quality of life.
Design/Methods:
Forty-eight patients diagnosed with PD were recruited from Parkinson Care and MEX-PD. Informed consent was obtained, and participants underwent the MoCA test alongside MRI to evaluate hippocampal volume. A general linear model was used to analyze the correlation between hippocampal volume and MoCA scores, adjusting for age, sex, and years of education.
Results:
The findings indicated a significant correlation between left hippocampal volume and hippocampal asymmetry with MoCA scores (p<0.05). Greater left hippocampal volume was associated with better cognitive performance. Furthermore, the asymmetry between hippocampal hemispheres impacted cognition, underscoring the importance of considering these measurements in clinical evaluations.
Conclusions:
This study supports the notion that left hippocampal volume and hippocampal asymmetry are significant predictors of cognitive performance in patients with PD. Volumetric measurements may serve as useful biomarkers to enhance the diagnosis and management of cognitive decline in this patient population.
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