Literature DB >> 16229868

Can patients with Alzheimer's disease learn a category implicitly?

Andrea Bozoki1, Murray Grossman, Edward E Smith.   

Abstract

Can a person with a damaged medial-temporal lobe learn a category implicitly? To address this question, we compared the performance of participants with mild Alzheimer's disease (AD) to that of age-matched controls in a standard implicit learning task. In this task, participants were first presented a series of objects, then told the objects formed a category, and then had to categorize a long sequence of test items [Knowlton B. J., Squire L. R. (1993). The learning of categories: parallel brain systems for item memory and category knowledge. Science, 262, 1747-1749]. We tested the hypotheses that: (1) both Control and AD participants would show evidence for implicit learning after the unwanted contribution of learning during test is removed; (2) the degree of implicit learning is the same for AD and Control participants; (3) training with exemplars that are highly similar to an unseen prototype will lead to better implicit category learning than training with exemplars that are less similar to a prototype. With respect to the first hypothesis, we found that both AD and Control participants performed better on tests of implicit learning than could be attributed to just learning on test trials. We found no clear means for evaluating our second hypothesis, and argue that comparisons of the degree of implicit learning between patient and control groups in this paradigm are confounded by the contribution of other memory systems. In line with the third hypothesis, only training with similar exemplars resulted in significant implicit category learning for AD participants.

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Year:  2005        PMID: 16229868     DOI: 10.1016/j.neuropsychologia.2005.08.001

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


  20 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 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

Review 3.  Models in search of a brain.

Authors:  Bradley C Love; Todd M Gureckis
Journal:  Cogn Affect Behav Neurosci       Date:  2007-06       Impact factor: 3.282

Review 4.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

5.  A high-distortion enhancement effect in the prototype-learning paradigm: dramatic effects of category learning during test.

Authors:  Safa R Zaki; Robeir M Nosofsky
Journal:  Mem Cognit       Date:  2007-12

6.  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

7.  Medial temporal lobe involvement in an implicit memory task: evidence of collaborating implicit and explicit memory systems from FMRI and Alzheimer's disease.

Authors:  Phyllis Koenig; Edward E Smith; Vanessa Troiani; Chivon Anderson; Peachie Moore; Murray Grossman
Journal:  Cereb Cortex       Date:  2008-04-09       Impact factor: 5.357

8.  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

9.  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

10.  Abstract Memory Representations in the Ventromedial Prefrontal Cortex and Hippocampus Support Concept Generalization.

Authors:  Caitlin R Bowman; Dagmar Zeithamova
Journal:  J Neurosci       Date:  2018-02-07       Impact factor: 6.167

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