Literature DB >> 30346190

Analysis of learning deficits in aged rats on the W-track continuous spatial alternation task.

Adele J Kapellusch1, Adam W Lester1, Benjamin A Schwartz1, Anne C Smith1, Carol A Barnes2.   

Abstract

Young and aged animals were tested on a spatial alternation task that consisted of two interleaved components: (1) an "outbound" or alternation component (working memory) and (2) an "inbound" component, requiring the animal to remember to return to a central location in space (spatial memory). In the present study, aged rats made more outbound errors throughout testing, resulting in significantly more days to reach learning criterion, as compared to young rats. Furthermore, while all animals were able to learn the hippocampus-dependent inbound component of the task, most aged animals remained just above chance on the outbound component, even after extended testing days. Aged rats may be more impaired on the outbound part of the task because it requires cooperation of both the hippocampus and mPFC, each of which is compromised with age. In addition to presenting these results, we compare one commonly used analysis (repeated measures ANOVA) and two less common hierarchical modeling techniques (hierarchical generalized linear model and state-space random effects model) to determine the best method for comparing population learning over time. We found that hierarchical modeling is the most appropriate for this task and that a state-space model better captures the behavioral responses. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Entities:  

Mesh:

Year:  2018        PMID: 30346190      PMCID: PMC6242720          DOI: 10.1037/bne0000269

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  24 in total

1.  Analysis and design of behavioral experiments to characterize population learning.

Authors:  Anne C Smith; Mark R Stefani; Bita Moghaddam; Emery N Brown
Journal:  J Neurophysiol       Date:  2004-09-29       Impact factor: 2.714

2.  Disconnection of the hippocampal-prefrontal cortical circuits impairs spatial working memory performance in rats.

Authors:  Gong-Wu Wang; Jing-Xia Cai
Journal:  Behav Brain Res       Date:  2006-10-10       Impact factor: 3.332

3.  Place navigation impaired in rats with hippocampal lesions.

Authors:  R G Morris; P Garrud; J N Rawlins; J O'Keefe
Journal:  Nature       Date:  1982-06-24       Impact factor: 49.962

4.  The role of the right hippocampus in the recall of spatial location.

Authors:  M L Smith; B Milner
Journal:  Neuropsychologia       Date:  1981       Impact factor: 3.139

5.  A direct projection from Ammon's horn to prefrontal cortex in the rat.

Authors:  L W Swanson
Journal:  Brain Res       Date:  1981-07-27       Impact factor: 3.252

6.  Individual differences in aging: behavioral and neurobiological correlates.

Authors:  A L Markowska; W S Stone; D K Ingram; J Reynolds; P E Gold; L H Conti; M J Pontecorvo; G L Wenk; D S Olton
Journal:  Neurobiol Aging       Date:  1989 Jan-Feb       Impact factor: 4.673

7.  Firing characteristics of deep layer neurons in prefrontal cortex in rats performing spatial working memory tasks.

Authors:  M W Jung; Y Qin; B L McNaughton; C A Barnes
Journal:  Cereb Cortex       Date:  1998 Jul-Aug       Impact factor: 5.357

8.  Medial prefrontal lesions in the rat and spatial navigation: evidence for impaired planning.

Authors:  S Granon; B Poucet
Journal:  Behav Neurosci       Date:  1995-06       Impact factor: 1.912

9.  Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man.

Authors:  M Petrides; B Milner
Journal:  Neuropsychologia       Date:  1982       Impact factor: 3.139

10.  Theta rhythms coordinate hippocampal-prefrontal interactions in a spatial memory task.

Authors:  Matthew W Jones; Matthew A Wilson
Journal:  PLoS Biol       Date:  2005-11-15       Impact factor: 8.029

View more
  1 in total

1.  Dynamics of Awake Hippocampal-Prefrontal Replay for Spatial Learning and Memory-Guided Decision Making.

Authors:  Justin D Shin; Wenbo Tang; Shantanu P Jadhav
Journal:  Neuron       Date:  2019-10-30       Impact factor: 17.173

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.