Delineating the role of osa on mild cognitive impairment profiles and memory recall performance in older adults at-risk of dementia

2019 ◽  
Vol 64 ◽  
pp. S208-S209
Author(s):  
A. Lam ◽  
A. D'Rozario ◽  
A. McKinnon ◽  
C. Phillips ◽  
R. Grunstein ◽  
...  
2020 ◽  
Vol 51 (12) ◽  
pp. 2367-2375
Author(s):  
Francesca R. Farina ◽  
Gabija Pragulbickaitė ◽  
Marc Bennett ◽  
Cian Judd ◽  
Kevin Walsh ◽  
...  

Author(s):  
Laura Schmidt

Objectives: The competent use of technology is increasingly essential for quality of life in old age, hence autonomy, well-being, security, and participation. However, the potential of technology use for the large group of those with mild cognitive impairment (MCI) being at risk for losing their independence needs more research. In this work, we concentrate on the role of education and examine whether its impact for technology performance differs among those with and without MCI.


Author(s):  
Elizabeth A. Crocco ◽  
Rosie Curiel Cid ◽  
Marcela Kitaigorodsky ◽  
Gabriella A. Grau ◽  
Jessica M. Garcia ◽  
...  

<b><i>Introduction:</i></b> Among persons with amnestic mild cognitive impairment (aMCI), intrusion errors on subscales that measure proactive semantic interference (PSI) may be among the earliest behavioral markers of elevated Alzheimer’s disease brain pathology. While there has been considerable cross-sectional work in the area, it is presently unknown whether semantic intrusion errors are predictive of progression of cognitive impairment in aMCI or PreMCI (not cognitively normal but not meeting full criteria for MCI). <b><i>Methods:</i></b> This study examined the extent to which the percentage of semantic intrusion errors (PIE) based on total responses on a novel cognitive stress test, the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), could predict clinical/cognitive outcomes over an average 26-month period in older adults initially diagnosed with aMCI, PreMCI, and normal cognition. <b><i>Results:</i></b> On the LASSI-L subscale sensitive to PSI, a PIE cut point of 44% intrusion errors distinguished between those at-risk individuals with PreMCI who progressed to MCI over time compared to individuals with PreMCI who reverted to normal on longitudinal follow-up. Importantly, PIE was able to accurately predict 83.3% of aMCI individuals who later progressed to dementia. <b><i>Discussion:</i></b> These preliminary findings indicate that PIE on LASSI-L subscales that measure PSI may be a useful predictor of clinical progression overtime in at-risk older adults.


2018 ◽  
Vol 78 ◽  
pp. 45-50 ◽  
Author(s):  
Seongryu Bae ◽  
Sangyoon Lee ◽  
Sungchul Lee ◽  
Songee Jung ◽  
Keitaro Makino ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document