Literature DB >> 11527559

Are Alzheimer's disease patients able to learn visual prototypes?

S Kéri1, J Kálmán, O Kelemen, G Benedek, Z Janka.   

Abstract

Recently, controversial results emerged regarding visual prototype learning in Alzheimer's disease (AD). The aim of this study was to elucidate this issue in a larger population of AD patients. The AD patients (N=72) and age-matched healthy control subjects (N=25) learned to recognize and to categorize visual dot patterns. In comparison with the control subjects, the AD patients as a group showed dysfunctions in the recognition task, whereas categorization was relatively spared in their case. Recognition was impaired in patients with mild AD (Mini-Mental score: 18-23) and moderate AD (Mini-Mental score<18), whereas categorization was impaired only in patients with moderate AD. These results suggest that while the medio-temporal/diencephalic explicit memory system is markedly affected even in early AD, the sensory neocortical areas mediating implicit category learning display a sufficient degree of functional capacity until later stages of the disease.

Entities:  

Mesh:

Year:  2001        PMID: 11527559     DOI: 10.1016/s0028-3932(01)00046-x

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  13 in total

1.  Activation in the neural network responsible for categorization and recognition reflects parameter changes.

Authors:  Robert M Nosofsky; Daniel R Little; Thomas W James
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-19       Impact factor: 11.205

2.  Category formation in autism: can individuals with autism form categories and prototypes of dot patterns?

Authors:  Holly Zajac Gastgeb; Eva M Dundas; Nancy J Minshew; Mark S Strauss
Journal:  J Autism Dev Disord       Date:  2012-08

3.  Category learning in Alzheimer's disease and normal cognitive aging depends on initial experience of feature variability.

Authors:  Jeffrey S Phillips; Corey T McMillan; Edward E Smith; Murray Grossman
Journal:  Neuropsychologia       Date:  2016-07-06       Impact factor: 3.139

4.  Dissociable prototype learning systems: evidence from brain imaging and behavior.

Authors:  Dagmar Zeithamova; W Todd Maddox; David M Schnyer
Journal:  J Neurosci       Date:  2008-12-03       Impact factor: 6.167

5.  Artificial grammar learning in Alzheimer's disease.

Authors:  Paul J Reber; Lucy A Martinez; Sandra Weintraub
Journal:  Cogn Affect Behav Neurosci       Date:  2003-06       Impact factor: 3.282

6.  The effect of encoding conditions on learning in the prototype distortion task.

Authors:  Jessica C Lee; Evan J Livesey
Journal:  Learn Behav       Date:  2017-06       Impact factor: 1.986

7.  Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease.

Authors:  Robert M Nosofsky; Stephen E Denton; Safa R Zaki; Anne F Murphy-Knudsen; Frederick W Unverzagt
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-07       Impact factor: 3.051

8.  The effects of sleep deprivation on dissociable prototype learning systems.

Authors:  W Todd Maddox; Brian D Glass; Dagmar Zeithamova; Zachary R Savarie; Christopher Bowen; Michael D Matthews; David M Schnyer
Journal:  Sleep       Date:  2011-03-01       Impact factor: 5.849

Review 9.  The case for implicit category learning.

Authors:  Edward E Smith
Journal:  Cogn Affect Behav Neurosci       Date:  2008-03       Impact factor: 3.282

10.  Prototype learning and dissociable categorization systems in Alzheimer's disease.

Authors:  William C Heindel; Elena K Festa; Brian R Ott; Kelly M Landy; David P Salmon
Journal:  Neuropsychologia       Date:  2013-06-08       Impact factor: 3.139

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