Literature DB >> 12878682

Individual differences in the expression of a "general" learning ability in mice.

Louis D Matzel1, Yu Ray Han, Henya Grossman, Meghana S Karnik, Dave Patel, Nicholas Scott, Steven M Specht, Chetan C Gandhi.   

Abstract

Human performance on diverse tests of intellect are impacted by a "general" regulatory factor that accounts for up to 50% of the variance between individuals on intelligence tests. Neurobiological determinants of general cognitive abilities are essentially unknown, owing in part to the paucity of animal research wherein neurobiological analyses are possible. We report a methodology with which we have assessed individual differences in the general learning abilities of laboratory mice. Abilities of mice on tests of associative fear conditioning, operant avoidance, path integration, discrimination, and spatial navigation were assessed. Tasks were designed so that each made unique sensory, motor, motivational, and information processing demands on the animals. A sample of 56 genetically diverse outbred mice (CD-1) was used to assess individuals' acquisition on each task. Indicative of a common source of variance, positive correlations were found between individuals' performance on all tasks. When tested on multiple test batteries, the overall performance ranks of individuals were found to be highly reliable and were "normally" distributed. Factor analysis of learning performance variables determined that a single factor accounted for 38% of the total variance across animals. Animals' levels of native activity and body weights accounted for little of the variability in learning, although animals' propensity for exploration loaded strongly (and was positively correlated) with learning abilities. These results indicate that diverse learning abilities of laboratory mice are influenced by a common source of variance and, moreover, that the general learning abilities of individual mice can be specified relative to a sample of peers.

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Mesh:

Year:  2003        PMID: 12878682      PMCID: PMC6740645     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  58 in total

1.  Individual differences in estrogen receptor alpha in select brain nuclei are associated with individual differences in aggression.

Authors:  Brian C Trainor; Kelly M Greiwe; Randy J Nelson
Journal:  Horm Behav       Date:  2006-06-06       Impact factor: 3.587

2.  Selective attention is a primary determinant of the relationship between working memory and general learning ability in outbred mice.

Authors:  Stefan Kolata; Kenneth Light; Henya C Grossman; Gregory Hale; Louis D Matzel
Journal:  Learn Mem       Date:  2007 Jan-Feb       Impact factor: 2.460

3.  Sensory responsiveness and the effects of equal subjective rewards on tactile learning and memory of honeybees.

Authors:  Ricarda Scheiner; Anthea Kuritz-Kaiser; Randolf Menzel; Joachim Erber
Journal:  Learn Mem       Date:  2005 Nov-Dec       Impact factor: 2.460

4.  Low-stress route learning using the Lashley III maze in mice.

Authors:  Amanda Bressler; David Blizard; Anne Andrews
Journal:  J Vis Exp       Date:  2010-05-22       Impact factor: 1.355

5.  Correlates of individual, and age-related, differences in short-term learning.

Authors:  Zhiyong Zhang; Hasker P Davis; Timothy A Salthouse; Elliot M Tucker-Drob
Journal:  Learn Individ Differ       Date:  2007-07-01

6.  Evolution of working memory.

Authors:  Peter Carruthers
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-10       Impact factor: 11.205

7.  Age-related impairments of new memories reflect failures of learning, not retention.

Authors:  Louis D Matzel; Christopher Wass; Stefan Kolata; Kenneth Light; Danielle C Colas
Journal:  Learn Mem       Date:  2009-09-30       Impact factor: 2.460

8.  Impaired working memory duration but normal learning abilities found in mice that are conditionally deficient in the close homolog of L1.

Authors:  Stefan Kolata; Junfang Wu; Kenneth Light; Melitta Schachner; Louis D Matzel
Journal:  J Neurosci       Date:  2008-12-10       Impact factor: 6.167

Review 9.  Selective attention, working memory, and animal intelligence.

Authors:  Louis D Matzel; Stefan Kolata
Journal:  Neurosci Biobehav Rev       Date:  2009-07-14       Impact factor: 8.989

10.  Learning impairments identified early in life are predictive of future impairments associated with aging.

Authors:  Rikki Hullinger; Corinna Burger
Journal:  Behav Brain Res       Date:  2015-08-14       Impact factor: 3.332

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