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Updated: Sep 9, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
Path integration impairments reveal early cognitive changes in subjective cognitive decline
Vladislava Segen1, Md Rysul Kabir2, Adam Streck3
1Aging, Cognition & Technology Group, German Center for Neurodegenerative Diseases (DZNE), Magdeburg 39120, Germany.
Individuals with subjective cognitive decline show impaired path integration, specifically a memory leak, suggesting it may be an early Alzheimer's disease marker. Navigation tasks could detect these presymptomatic cognitive changes.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Computational Modeling
Background:
- Path integration relies on the entorhinal cortex grid cell network.
- This brain region is vulnerable to early Alzheimer's disease (AD) pathology.
- Subjective cognitive decline (SCD) indicates increased risk for AD.
Purpose of the Study:
- To investigate path integration performance in individuals with SCD.
- To identify specific sources of path integration error in SCD.
- To explore the potential of navigation tasks as early AD detection tools.
Main Methods:
- Utilized an immersive virtual reality navigation task.
- Compared path integration performance between SCD participants and healthy controls.
- Developed a Bayesian computational model to analyze path integration errors.
Main Results:
- SCD participants demonstrated significantly higher path integration errors.
- The primary driver of error in SCD was an increased memory leak.
- Other error components (velocity gain, sensory, reporting noise) were similar between groups.
Conclusions:
- Path integration deficits, particularly memory leak, may indicate early neurodegeneration in SCD.
- Self-motion-based navigation tasks show promise for detecting presymptomatic AD-related cognitive changes.
- Computational modeling can dissect navigation errors to reveal specific cognitive impairments.
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