Apart from memory issues, there are other symptoms that may point to signs of dementia. These include trouble completing familiar tasks, sensitivity to noise, changes in taste and smell, as well as unexplained shifts in personality or mood. It's essential to recognize these less commonly known ...
Overall, a large body of evidence suggests that volumetric analyses on MRI have an important role for the differential diagnosis of dementia with high specificity when changes are present, especially using automated analyses. Volumetric MRI changes however lack sensitivity in early prodromal dementia stag...
Comment In this study, hearing loss was independently associated with incident all-cause dementia after adjustment for sex, age, race, education, diabetes, smoking, and hypertension, and our findings were robust to multiple sensitivity analyses. The risk of all-cause dementia increased log linearly ...
A motion discrimination threshold greater than 0.23 distinguished between DLB/PDD and AD dementia with 67% sensitivity and 85% specificity.Differential deficits in detecting direction of simple horizontal motion suggest that dorsal processing stream dysfunction is greater in DLB and PDD than in AD ...
For people with dementia it is said that the hearing - of all the senses - has the highest impact when it comes to quality of life since people with dementia often suffer from extreme noise sensitivity. This can lead to confusion, anxiety and increased stress levels. Furthermore, ...
[97,98]. This method is included in both the diagnostic criteria presented by Dubois [99] and NIA-AA [100] and has been used as a reliable diagnostic tool by many researchers [101,102,103]. The sensitivity of this method as an AD marker has been reported to be more than 85% [97]...
As individual LAN exposure values, we considered the 9-year average VIIRS data for the 2014–2022 period in the main analysis, and the mean annual VIIRS data for 2014 in the sensitivity analysis. We considered that specific 2014 year because it is the first available and closest to ...
with binding potential values or distribution volume ratios, which are derived from kinetic modelling. This requires a longer acquisition time, with dynamic scanning from the moment of tracer injection until the plateau phase. Due to the lower variability, lower sensitivity to flow, and ability to ...
An ensemble activation-based deep CNN classifier was used to build the model achieving 99.19% Accuracy, 99.99% Sensitivity and 98.87% Specificity. The research on ensemble learning, a merged model outperformed individual classifiers on the ADNI dataset [18]. Similarly, an ensemble model, Logistic ...
For use in sensitivity analyses, we calculated other commonly utilized BPV metrics for each patient including standard deviation (SD), coefficient of variation (CoV), average real variability (ARV), and maximum to minimum difference (MMD) 57. Calculation methods for additional BPV metrics is located...