The Role of Visuospatial System in Detecting Early Cognitive Decline

Published on June 10, 2022

Imagine your brain is the captain of a ship navigating through treacherous waters. Well, the visuospatial system is like your onboard map and compass, helping your brain make sense of the world around you. In a recent study, scientists looked at how changes in the visuospatial system could be an early sign of cognitive decline, specifically in individuals with amnestic-type mild cognitive impairment (a-MCI). Using neuropsychology and advanced imaging techniques, they found that patients with a-MCI had differences in their visuospatial functions and networks compared to healthy controls. Specifically, certain areas of the brain responsible for visual processing and spatial reasoning showed reduced cortical thickness in patients. Additionally, the study revealed weaker connectivity between frontotemporal areas in the visuospatial network of patients. These findings suggest that alterations in the visuospatial system could serve as a potential biomarker for detecting early cognitive decline. By understanding these changes, researchers hope to develop interventions and treatments that can be implemented during the prodromal phase of Alzheimer’s disease, ultimately slowing down or preventing further decline in cognitive function. If you’re curious to learn more about this research and its implications for future Alzheimer’s studies, check out the full article!

Amnestic-type mild cognitive impairment (a-MCI) represents the prodromal phase of Alzheimer’s disease associated with a high conversion rate to dementia and serves as a potential golden period for interventions. In our study, we analyzed the role of visuospatial (VS) functions and networks in the recognition of a-MCI. We examined 78 participants (32 patients and 46 controls) in a double-center arrangement using neuropsychology, structural, and resting-state functional MRI. We found that imaging of the lateral temporal areas showed strong discriminating power since in patients only the temporal pole (F = 5.26, p = 0.034) and superior temporal gyrus (F = 8.04, p < 0.001) showed reduced cortical thickness. We demonstrated significant differences between controls and patients in various neuropsychological results; however, analysis of cognitive subdomains revealed that the largest difference was presented in VS skills (F = 8.32, p < 0.001). Functional connectivity analysis of VS network showed that patients had weaker connectivity between the left and right frontotemporal areas, while stronger local connectivity was presented between the left frontotemporal structures (FWE corrected p < 0.05). Our results highlight the remarkable potential of examining the VS system in the early detection of cognitive decline. Since resting-state setting of functional MRI simplifies the possible automatization of data analysis, detection of VS system alterations might provide a non-invasive biomarker of a-MCI.

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