Literature DB >> 1593987

Use of the lesion model for examining toxicant effects on cognitive behavior.

E D Levin1, S L Schantz, R E Bowman.   

Abstract

It is often beneficial to use a model to help understand unknown effects and relate those effects to an existing body of knowledge. In much of the early development of behavioral toxicology, the pharmacological model has served as a valuable theoretical guide, especially with regard to dosing and kinetic parameters. However, as with any model, it has certain limitations. The lesion model has complementary features which provide valuable insights into the behavioral effects of toxicants. This is particularly true for effects which persist long after the end of toxicant exposure. There is much literature describing effects of brain lesions on behavior. By comparing results from toxicology studies to those of lesion studies, one can take advantage of this trove of information to gain a better insight into the possible loci of toxic effects, and to identify tests which would be useful in further describing the nature of the toxic effects. In this article, we examine the theoretical and practical utility of the lesion model. Examples are given showing how it has proven useful in interpreting the cognitive effects of exposure of monkeys to lead and polychlorinated biphenyls (PCBs). These exposures produced syndromes that closely resemble the effects of lesions in the frontal cortex or limbic system.

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Year:  1992        PMID: 1593987     DOI: 10.1016/0892-0362(92)90061-e

Source DB:  PubMed          Journal:  Neurotoxicol Teratol        ISSN: 0892-0362            Impact factor:   3.763


  9 in total

1.  δ-Aminolevulinic acid dehydratase single nucleotide polymorphism 2 and peptide transporter 2*2 haplotype may differentially mediate lead exposure in male children.

Authors:  Christina Sobin; Natali Parisi; Tanner Schaub; Marisela Gutierrez; Alma X Ortega
Journal:  Arch Environ Contam Toxicol       Date:  2011-02-16       Impact factor: 2.804

Review 2.  The challenge of mechanism-based modeling in risk assessment for neurobehavioral end points.

Authors:  D Hattis
Journal:  Environ Health Perspect       Date:  1996-04       Impact factor: 9.031

3.  Effects of chronic estradiol treatment on delayed spatial alternation and differential reinforcement of low rates of responding.

Authors:  Victor C Wang; Helen J K Sable; Young H Ju; Clinton D Allred; William G Helferich; Donna L Korol; Susan L Schantz
Journal:  Behav Neurosci       Date:  2008-08       Impact factor: 1.912

4.  Response inhibition and error monitoring during a visual go/no-go task in inuit children exposed to lead, polychlorinated biphenyls, and methylmercury.

Authors:  Olivier Boucher; Matthew J Burden; Gina Muckle; Dave Saint-Amour; Pierre Ayotte; Éric Dewailly; Charles A Nelson; Sandra W Jacobson; Joseph L Jacobson
Journal:  Environ Health Perspect       Date:  2011-12-05       Impact factor: 9.031

Review 5.  Parallels between attention deficit hyperactivity disorder and behavioral deficits produced by neurotoxic exposure in monkeys.

Authors:  D C Rice
Journal:  Environ Health Perspect       Date:  2000-06       Impact factor: 9.031

6.  Response inhibition during Differential Reinforcement of Low Rates (DRL) schedules may be sensitive to low-level polychlorinated biphenyl, methylmercury, and lead exposure in children.

Authors:  Paul W Stewart; David M Sargent; Jacqueline Reihman; Brooks B Gump; Edward Lonky; Thomas Darvill; Heraline Hicks; James Pagano
Journal:  Environ Health Perspect       Date:  2006-12       Impact factor: 9.031

7.  Workshop on perinatal exposure to dioxin-like compounds. I. Summary.

Authors:  G Lindström; K Hooper; M Petreas; R Stephens; A Gilman
Journal:  Environ Health Perspect       Date:  1995-03       Impact factor: 9.031

Review 8.  Workshop on perinatal exposure to dioxin-like compounds. VI. Role of biomarkers.

Authors:  K Hooper; G C Clark
Journal:  Environ Health Perspect       Date:  1995-03       Impact factor: 9.031

Review 9.  Workshop on perinatal exposure to dioxin-like compounds. IV. Neurobehavioral effects.

Authors:  M S Golub; S W Jacobson
Journal:  Environ Health Perspect       Date:  1995-03       Impact factor: 9.031

  9 in total

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