Publications by authors named "J Hassenstab"
Importance: "SuperAgers" are oldest-old adults (ages 80+) whose memory performance resembles that of adults in their 50s to mid-60s. Factors underlying their exemplary memory are underexplored in large, racially diverse cohorts.
Objective: To determine the frequency of genotypes in non-Hispanic Black and non-Hispanic White SuperAgers compared to middle-aged (ages 50-64), old (ages 65-79), and oldest-old (ages 80+) controls and Alzheimer's disease (AD) dementia cases.
Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer's disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved.
View Article and Find Full Text PDFMeasurement burst designs typically administer brief cognitive tests four times per day for 1 week, resulting in a maximum of 28 data points per week per test for every 6 months. In Alzheimer's disease clinical trials, utilizing measurement burst designs holds great promise for boosting statistical power by collecting huge amount of data. However, appropriate methods for analyzing these complex datasets are not well investigated.
View Article and Find Full Text PDFArticle Synopsis
- A decline in episodic memory is an early sign of Alzheimer’s disease and is important in evaluating treatment effectiveness in clinical trials, particularly through various memory tests.
- This study aimed to assess the correlation between different episodic memory tests and plasma biomarkers related to Alzheimer’s, examining data from 161 cognitively normal older adults.
- Results indicated that the Free and Cued Selective Reminding Test with Immediate Recall was more sensitive to changes in cognitive function linked to certain plasma biomarkers compared to other tests, highlighting the importance of using specific memory assessments in Alzheimer’s research.
Article Synopsis
- * In Alzheimer's disease, these networks become more chaotic, as indicated by a drop in the small-world coefficient, a change linked to cognitive decline throughout the disease's progression.
- * Our study examined the relationship between 10 cerebrospinal fluid protein biomarkers and small-world coefficients in Alzheimer's mutation carriers and non-carriers, finding that certain protein abnormalities indicate early changes in grey matter networks, while markers for inflammation and axonal injury correlate with declining small-world values.