Do patients suffering from Alzheimer's disease present an own-age bias in face recognition?

2015 ◽  
Vol 70 ◽  
pp. 46-53 ◽  
Author(s):  
Catherine Bortolon ◽  
Aurore Louche ◽  
Marie-Christine Gély-Nargeot ◽  
Stéphane Raffard
1990 ◽  
Vol 183 (1) ◽  
pp. 83
Author(s):  
B. Reisberg ◽  
S.G. Sclan ◽  
E. Franssen ◽  
S.H. Ferris

2018 ◽  
Vol 33 (7) ◽  
pp. 433-439 ◽  
Author(s):  
Fayyaz Ahmad ◽  
Waqar Mahmood Dar

Early diagnosis of Alzheimer’s disease (AD) allows individuals and their health managers to manage healthier medication. We proposed an approach for classification of AD stages, with respect to principal component analysis (PCA)-based algorithm. The PCA has been extensively applied as the most auspicious face-recognition algorithm. For the proposed algorithm, 100 images of 10 children were transformed for feature extraction and covariance matrix was constructed to obtain eigenvalues. The eigenvector provided a useful framework for face recognition. For the classification of AD stages, magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) data were obtained from Alzheimer’s Disease Neuroimaging Initiative database. Hippocampus is one of the most affected regions by AD. Thus, we selected clusters of voxels from the “hippocampus” of AD screening stage (mild cognitive impairment), AD stage 1, AD stage 2, and AD stage 3. By using eigenvectors corresponding to maximum eigenvalues of fMRI data, the purposed algorithm classified the voxels of AD stages effectively.


2017 ◽  
Vol 83 (6) ◽  
pp. 1292-1303 ◽  
Author(s):  
D. Lopis ◽  
M. Baltazar ◽  
N. Geronikola ◽  
V. Beaucousin ◽  
L. Conty

2012 ◽  
Vol 26 (4) ◽  
pp. 483-489 ◽  
Author(s):  
Victoria Plaza ◽  
Ginesa López-Crespo ◽  
Carmen Antúnez ◽  
Luis J. Fuentes ◽  
Angeles F. Estévez

1998 ◽  
Vol 4 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Deborah A. Cahn ◽  
Edith V. Sullivan ◽  
Paula K. Shear ◽  
Laura Marsh ◽  
Rosemary Fama ◽  
...  

Neuroimaging and lesion studies have demonstrated that hippocampal volume correlates with memory performance, but material-specific lateralization of this structure-function relationship has been inconsistent. This MRI study examined the relative contributions of left and right temporal lobe volumes to verbal and nonverbal recognition memory in a group of 20 Alzheimer's disease (AD) patients. There was a significant relationship between extent of right hippocampal and right temporal gray matter tissue volume deficit and performance on the face recognition subtest of the Warrington Recognition Memory Test. The face recognition test correlated with right hemisphere volume but not to left, indicating a material-specific relationship between brain structure and function in this patient group. Right temporal horn volume did not account for a significant proportion of variance in face recognition memory. Although word recognition was not significantly correlated with either left or right hippocampal volume in the total group, there was a strong correlation between left hippocampal volume and word recognition memory in the female AD patients. Thus, face recognition shows a material specific relationship with select lateralized hippocampal and temporal cortical volumes in AD patients, regardless of gender, whereas the verbal recognition–left-hippocampal volume relationship may be mediated by gender. (JINS, 1998, 4, 106–114.)


Sign in / Sign up

Export Citation Format

Share Document