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Updated: May 27, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
Exploring apathy components and their relationship in cognitive decline: insights from a network cross-sectional
Pierfrancesco Sarti1, Simone Varrasi2, Claudia Savia Guerrera2,3
1Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 287, 41125, Modena, Italy.
Apathy significantly impacts Alzheimer's disease progression, especially cognitive apathy. Network analysis reveals demographic factors influence dementia risk, guiding personalized interventions for better patient autonomy.
Area of Science:
- Neuroscience
- Gerontology
- Psychiatry
Background:
- Apathy is a common symptom that worsens with age and cognitive decline, particularly in Alzheimer's disease (AD).
- Understanding apathy's extensive effects is crucial for developing tailored, preventative treatments.
- Apathy contributes to functional and cognitive deterioration in aging populations.
Purpose of the Study:
- To investigate the relationship between apathy and demographic/clinical variables in individuals with Mild Cognitive Impairment (MCI) and mild Alzheimer's disease (AD).
- To explore the utility of network analysis in understanding apathy's role in dementia progression.
- To identify key factors influencing apathy for personalized intervention strategies.
Main Methods:
- The study included 214 adults across three groups: MCI, mild AD, and healthy controls.
- Neuropsychological tests and questionnaires were administered to assess cognitive function and apathy.
- Statistical and network analyses were employed to examine links between apathy, demographics, and disease status.
Main Results:
- Significant differences in test performance were observed across the study groups.
- Network and cluster analyses indicated demographic variables have varying importance across disease stages.
- Cognitive apathy emerged as a prominent feature in Alzheimer's disease-related decline.
Conclusions:
- Network analysis provided insights into dementia risk differentiation, highlighting the influence of sex and demographic factors.
- Cognitive apathy is a critical target for personalized interventions, more so than behavioral or emotional aspects.
- Intervention strategies should prioritize short-term goals and preserve patient autonomy whenever feasible.
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