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  1. 11 Μαρ 2024 · Brain age gaps (BAGs) for GM (BAG GM) and WM (BAG WM) were derived from diffusion-weighted imaging and T1 scans separately using 3-dimensional-convolutional neural network deep learning techniques. RESULTS:

  2. Understanding the differences between “Normal” and “Healthy” brain aging and identifying potential modifiable risk factors for brain aging is critical to inform potential treatments to stall or reverse the effects of brain aging and possibly extend cognitive health for our aging society.

  3. 31 Μαΐ 2022 · Every 10 mmHg increase in SBP above 110 mmHg was associated with a −0.12% (56–65 years) lower RHCV, and −0.10% (56–65 years) lower LHCV in women; and a −0.008% (56–65 years) lower RHCV, and −0.07% (56–65 years) lower LHCV in men. However, the effect did not reach significance in men ( Figure 1 b).

  4. In the Cardiovascular Health Study (CHS) -- a community-based, longitudinal study of the elderly -- cluster analysis was used to characterize patterns of findings on cranial magnetic resonance imaging (MRI) and to define five clusters: Normal, Atrophy, Simple Infarct, Leukoaraiosis, and Complex Infarct. 1 Compared to the other clusters, the ...

  5. 31 Μαΐ 2022 · Every 1-year increase in age above 55 was associated with lower GMV (−0.31% vs. −0.20%), lower WMV (−0.32% vs. −0.16%), lower LHCV (−0.56% vs. −0.42%), and lower RHCV (−0.52% vs. −0.37%) in men compared to women.

  6. 10 Ιαν 2022 · There is a need to develop robust methods to measure small vessel function/pathology, impaired blood-brain barrier, and endothelial dysfunction to test the mechanistic hypothesis by which CVD impacts cognitive aging and dementia.

  7. 12 Οκτ 2000 · Although CT can visualize gross atrophic changes, MR imaging is the most informative structural neuroimaging technique for age-associated neurodegenerative diseases. 5,6 The aging brain shows global and regional reduction in volume, and the ventricular system increases in size.