Longitudinal changes in neuroophthalmological abnormalities in patients who underwent surgery for skull-base epidermoid cysts

2021 ◽  
Vol 95 (6) ◽  
pp. 31-40
Author(s):  
V. O. Fedirko ◽  
◽  
K. S. Iegorova ◽  
O. M. Lisianyi ◽  
A. G. Naboichenko ◽  
...  
1979 ◽  
Vol 115 (5) ◽  
pp. 622-622 ◽  
Author(s):  
L. A. King

1986 ◽  
Vol 19 (4) ◽  
pp. 797-804 ◽  
Author(s):  
Yosef P. Krespi ◽  
Toni M. Levine ◽  
Randy Oppenheimer

1984 ◽  
Vol 17 (3) ◽  
pp. 601-612 ◽  
Author(s):  
Donald L. Myers ◽  
Robert Thayer Sataloff

1984 ◽  
Vol 17 (3) ◽  
pp. 577-589 ◽  
Author(s):  
Robert Thayer Sataloff ◽  
Donald L. Myers ◽  
Frederic B. Krenter

1982 ◽  
Vol 15 (4) ◽  
pp. 723-753 ◽  
Author(s):  
Mahmood F. Mafee ◽  
Galdino E. Valvassori ◽  
Glen D. Dobben
Keyword(s):  

GeroPsych ◽  
2012 ◽  
Vol 25 (4) ◽  
pp. 235-245 ◽  
Author(s):  
Katja Franke ◽  
Christian Gaser

We recently proposed a novel method that aggregates the multidimensional aging pattern across the brain to a single value. This method proved to provide stable and reliable estimates of brain aging – even across different scanners. While investigating longitudinal changes in BrainAGE in about 400 elderly subjects, we discovered that patients with Alzheimer’s disease and subjects who had converted to AD within 3 years showed accelerated brain atrophy by +6 years at baseline. An additional increase in BrainAGE accumulated to a score of about +9 years during follow-up. Accelerated brain aging was related to prospective cognitive decline and disease severity. In conclusion, the BrainAGE framework indicates discrepancies in brain aging and could thus serve as an indicator for cognitive functioning in the future.


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