Literature DB >> 25637651

Latent learning in End Stage Renal Disease (ESRD).

Daniel J W Jones1, Laurie T Butler2, John P Harris2, Emma C Vaux3.   

Abstract

Cognitive functions such as attention and memory are known to be impaired in End Stage Renal Disease (ESRD), but the sites of the neural changes underlying these impairments are uncertain. Patients and controls took part in a latent learning task, which had previously shown a dissociation between patients with Parkinson's disease and those with medial temporal damage. ESRD patients (n=24) and age and education-matched controls (n=24) were randomly assigned to either an exposed or unexposed condition. In Phase 1 of the task, participants learned that a cue (word) on the back of a schematic head predicted that the subsequently seen face would be smiling. For the exposed (but not unexposed) condition, an additional (irrelevant) colour cue was shown during presentation. In Phase 2, a different association, between colour and facial expression, was learned. Instructions were the same for each phase: participants had to predict whether the subsequently viewed face was going to be happy or sad. No difference in error rate between the groups was found in Phase 1, suggesting that patients and controls learned at a similar rate. However, in Phase 2, a significant interaction was found between group and condition, with exposed controls performing significantly worse than unexposed (therefore demonstrating learned irrelevance). In contrast, exposed patients made a similar number of errors to unexposed in Phase 2. The pattern of results in ESRD was different from that previously found in Parkinson's disease, suggesting a different neural origin.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognitive impairment; Cortical dysfunction; End Stage Renal Disease (ESRD); Learning

Mesh:

Year:  2015        PMID: 25637651     DOI: 10.1016/j.physbeh.2015.01.033

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  2 in total

1.  Understanding the impact of haemodialysis on UK National Health Service patients' well-being: A qualitative investigation.

Authors:  Daniel Jw Jones; Kate Harvey; John P Harris; Laurie T Butler; Emma C Vaux
Journal:  J Clin Nurs       Date:  2017-07-03       Impact factor: 3.036

2.  The relationship between hemodialysis mortality and the Chinese medical insurance type.

Authors:  Xi Yao; Shaohua Chen; Wenhua Lei; Nan Shi; Weiqiang Lin; Xiaoying Du; Ping Zhang; Jianghua Chen
Journal:  Ren Fail       Date:  2019-11       Impact factor: 2.606

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.