Publications by authors named "H Klinger"
Latent change-on-change between amyloid accumulation and cognitive decline.
Alzheimers Dement
December 2024
Article Synopsis
- The study investigates the relationship between changes in β-amyloid (Aβ) levels and cognitive decline over time, highlighting that Aβ accumulation is linked to subsequent cognitive deterioration in older adults.
- Researchers utilized sophisticated statistical models on data from a long-term study of 352 cognitively normal older participants, revealing that short-term changes in Aβ are more impactful on cognition than traditional measurements of Aβ burden and tau levels.
- Contrary to previous findings, the study found no significant link between tau levels in the medial temporal lobe and cognitive performance, suggesting that understanding cognitive decline requires looking at dynamic changes rather than static measures.
Background And Purpose: Disabling dystonia despite optimal medical treatment is common in Wilson disease (WD). No controlled study has evaluated the effect of deep brain stimulation (DBS) on dystonia related to WD. This study was undertaken to evaluate the efficacy of DBS on dystonia related to WD.
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- Cognitive resilience is when people don't show mental decline even if they have signs of Alzheimer's in their brains.
- Measuring cognitive resilience is tricky because it can't be seen directly, and one common method used might give wrong results.
- The new method we suggest uses machine learning to improve how we measure cognitive resilience, making it more accurate and relying less on guesses about the data.
Background: Stronger resting-state functional connectivity of the default mode and frontoparietal control networks has been associated with cognitive resilience to Alzheimer's disease related pathology and neurodegeneration in smaller cohort studies.
Objectives: We investigated whether these networks are associated with longitudinal CR to AD biomarkers of beta-amyloid (Aβ).
Design: Longitudinal mixed.
Article Synopsis
- This study investigates cognitive resilience (CR) to Alzheimer's disease (AD) in cognitively healthy older adults by analyzing imaging biomarkers and cognitive data over time using latent class mixture modeling.
- The research involved 200 participants from the Harvard Aging Brain Study, who were categorized into three subgroups based on their cognitive trajectories: Normal, Resilient, and Declining, with the Resilient group showing higher cognitive performance and stability.
- The findings suggest that leveraging imaging and cognitive assessments can effectively identify different levels of CR in preclinical AD stages, which could have implications for future research and interventions.