Literature DB >> 19607858

Selective attention, working memory, and animal intelligence.

Louis D Matzel1, Stefan Kolata.   

Abstract

Accumulating evidence indicates that the storage and processing capabilities of the human working memory system co-vary with individuals' performance on a wide range of cognitive tasks. The ubiquitous nature of this relationship suggests that variations in these processes may underlie individual differences in intelligence. Here we briefly review relevant data which supports this view. Furthermore, we emphasize an emerging literature describing a trait in genetically heterogeneous mice that is quantitatively and qualitatively analogous to general intelligence (g) in humans. As in humans, this animal analog of g co-varies with individual differences in both storage and processing components of the working memory system. Absent some of the complications associated with work with human subjects (e.g., phonological processing), this work with laboratory animals has provided an opportunity to assess otherwise intractable hypotheses. For instance, it has been possible in animals to manipulate individual aspects of the working memory system (e.g., selective attention), and to observe causal relationships between these variables and the expression of general cognitive abilities. This work with laboratory animals has coincided with human imaging studies (briefly reviewed here) which suggest that common brain structures (e.g., prefrontal cortex) mediate the efficacy of selective attention and the performance of individuals on intelligence test batteries. In total, this evidence suggests an evolutionary conservation of the processes that co-vary with and/or regulate "intelligence" and provides a framework for promoting these abilities in both young and old animals.

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Year:  2009        PMID: 19607858      PMCID: PMC2784289          DOI: 10.1016/j.neubiorev.2009.07.002

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  31 in total

Review 1.  Learning and selective attention.

Authors:  P Dayan; S Kakade; P R Montague
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

2.  Overlapping mechanisms of attention and spatial working memory.

Authors:  E Awh; J Jonides
Journal:  Trends Cogn Sci       Date:  2001-03-01       Impact factor: 20.229

3.  Selective attention to the parts of an object.

Authors:  S P Vecera; M Behrmann; J McGoldrick
Journal:  Psychon Bull Rev       Date:  2000-06

4.  Neural mechanisms of general fluid intelligence.

Authors:  Jeremy R Gray; Christopher F Chabris; Todd S Braver
Journal:  Nat Neurosci       Date:  2003-03       Impact factor: 24.884

5.  What kind of attention modulates the Stroop effect?

Authors:  D Besner; J A Stolz
Journal:  Psychon Bull Rev       Date:  1999-03

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

Authors:  Louis D Matzel; Yu Ray Han; Henya Grossman; Meghana S Karnik; Dave Patel; Nicholas Scott; Steven M Specht; Chetan C Gandhi
Journal:  J Neurosci       Date:  2003-07-23       Impact factor: 6.167

7.  The structure of individual differences in heterogeneous stock mice across problem types and motivational systems.

Authors:  C Locurto; E Fortin; R Sullivan
Journal:  Genes Brain Behav       Date:  2003-02       Impact factor: 3.449

8.  Capacity limit of visual short-term memory in human posterior parietal cortex.

Authors:  J Jay Todd; René Marois
Journal:  Nature       Date:  2004-04-15       Impact factor: 49.962

9.  Evidence for general cognitive ability (g) in heterogeneous stock mice and an analysis of potential confounds.

Authors:  M J Galsworthy; J L Paya-Cano; S Monleón; R Plomin
Journal:  Genes Brain Behav       Date:  2002-05       Impact factor: 3.449

10.  Age-related declines in general cognitive abilities of Balb/C mice are associated with disparities in working memory, body weight, and general activity.

Authors:  Louis D Matzel; Henya Grossman; Kenneth Light; David Townsend; Stefan Kolata
Journal:  Learn Mem       Date:  2008-10-02       Impact factor: 2.460

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  31 in total

Review 1.  The importance of considering all attributes of memory in behavioral endophenotyping of mouse models of genetic disease.

Authors:  Michael R Hunsaker
Journal:  Behav Neurosci       Date:  2012-06       Impact factor: 1.912

2.  Repetitive Transcranial Magnetic Stimulation (rTMS) Modulates Event-Related Potential (ERP) Indices of Attention in Autism.

Authors:  Manuel F Casanova; Joshua M Baruth; Ayman El-Baz; Allan Tasman; Lonnie Sears; Estate Sokhadze
Journal:  Transl Neurosci       Date:  2012-06-01       Impact factor: 1.757

Review 3.  Bridging animal and human models of exercise-induced brain plasticity.

Authors:  Michelle W Voss; Carmen Vivar; Arthur F Kramer; Henriette van Praag
Journal:  Trends Cogn Sci       Date:  2013-09-09       Impact factor: 20.229

4.  The imposition of, but not the propensity for, social subordination impairs exploratory behaviors and general cognitive abilities.

Authors:  Danielle Colas-Zelin; Kenneth R Light; Stefan Kolata; Christopher Wass; Alexander Denman-Brice; Christopher Rios; Kris Szalk; Louis D Matzel
Journal:  Behav Brain Res       Date:  2012-04-15       Impact factor: 3.332

5.  Working memory training promotes general cognitive abilities in genetically heterogeneous mice.

Authors:  Kenneth R Light; Stefan Kolata; Christopher Wass; Alexander Denman-Brice; Ryan Zagalsky; Louis D Matzel
Journal:  Curr Biol       Date:  2010-03-25       Impact factor: 10.834

Review 6.  Cancer 'survivor-care': II. Disruption of prefrontal brain activation top-down control of working memory capacity as possible mechanism for chemo-fog/brain (chemotherapy-associated cognitive impairment).

Authors:  R B Raffa
Journal:  J Clin Pharm Ther       Date:  2013-05-08       Impact factor: 2.512

7.  Neuromodulation integrating rTMS and neurofeedback for the treatment of autism spectrum disorder: an exploratory study.

Authors:  Estate M Sokhadze; Ayman S El-Baz; Allan Tasman; Lonnie L Sears; Yao Wang; Eva V Lamina; Manuel F Casanova
Journal:  Appl Psychophysiol Biofeedback       Date:  2014-12

8.  Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM).

Authors:  Roberto Colom; Xue Hua; Kenia Martínez; Miguel Burgaleta; Francisco J Román; Jeffrey L Gunter; Susanna Carmona; Susanne M Jaeggi; Paul M Thompson
Journal:  Neuropsychologia       Date:  2016-07-28       Impact factor: 3.139

9.  Enhanced oscillatory activity in the hippocampal-prefrontal network is related to short-term memory function after early-life seizures.

Authors:  Jonathan K Kleen; Edie X Wu; Gregory L Holmes; Rod C Scott; Pierre-Pascal Lenck-Santini
Journal:  J Neurosci       Date:  2011-10-26       Impact factor: 6.167

10.  Cognitive ability is associated with altered medial frontal cortical circuits in the LgDel mouse model of 22q11.2DS.

Authors:  D W Meechan; H L H Rutz; M S Fralish; T M Maynard; L A Rothblat; A-S LaMantia
Journal:  Cereb Cortex       Date:  2013-11-11       Impact factor: 5.357

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