Publications by authors named "H Aizenstein"
Background: The relationship between subtle cognitive decline and Alzheimer's disease (AD) pathology as measured by biomarkers in settings outside of specialty memory clinics is not well characterized.
Objective: To investigate how subtle longitudinal cognitive decline relates to neuroimaging biomarkers in individuals drawn from a population-based study in an economically depressed, small-town area in southwestern Pennsylvania, USA.
Methods: A subset of participants without dementia (N = 115, age 76.
Importance: Emerging evidence suggests that severe acute respiratory syndrome, COVID-19, negatively impacts brain health, with clinical magnetic resonance imaging (MRI) showing a wide range of neurologic manifestations but no consistent pattern. Compared with 3 Tesla (3T) MRI, 7 Tesla (7T) MRI can detect more subtle injuries, including hippocampal subfield volume differences and additional standard biomarkers such as white matter lesions. 7T MRI could help with the interpretation of the various persistent post-acute and distal onset sequelae of COVID-19 infection.
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- The study investigated how 6 months of intermittent exercise affects cognitive function in older adults, comparing low-intensity movement (LIM) and moderate-intensity aerobic exercise (AE).
- Results showed that LIM improved learning and memory, while AE enhanced executive functioning, indicating different cognitive benefits from each type of exercise.
- Neuroimaging revealed that changes in brain structure and certain inflammatory markers correlated with cognitive improvements, underlining the distinct advantages of both LIM and AE in older populations.
The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross-modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated when transitioning from 3 Tesla (3T) to 7 Tesla (7T) MRI systems. This study proposes a novel solution to these challenges using generative adversarial networks (GANs)-specifically, the CycleGAN architecture-to create synthetic 7T images from 3T data.
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- The study investigates the relationship between white matter hyperintensities (WMH) on brain MRIs and cognitive decline, focusing on how these factors may differ between sexes.
- Researchers analyzed 713 participants aged 49-89, assessing the effects of modifiable risk factors for WMH and examining their impact on long-term dementia outcomes.
- Findings suggest that age and type 2 diabetes significantly influence WMH volume, with stronger correlations identified in females, and that WMH burden is linked to worse dementia outcomes over time specifically in females.