Literature DB >> 17696995

Interval timing in genetically modified mice: a simple paradigm.

F Balci1, E B Papachristos, C R Gallistel, D Brunner, J Gibson, G P Shumyatsky.   

Abstract

We describe a behavioral screen for the quantitative study of interval timing and interval memory in mice. Mice learn to switch from a short-latency feeding station to a long-latency station when the short latency has passed without a feeding. The psychometric function is the cumulative distribution of switch latencies. Its median measures timing accuracy and its interquartile interval measures timing precision. Next, using this behavioral paradigm, we have examined mice with a gene knockout of the receptor for gastrin-releasing peptide that show enhanced (i.e. prolonged) freezing in fear conditioning. We have tested the hypothesis that the mutants freeze longer because they are more uncertain than wild types about when to expect the electric shock. The knockouts however show normal accuracy and precision in timing, so we have rejected this alternative hypothesis. Last, we conduct the pharmacological validation of our behavioral screen using d-amphetamine and methamphetamine. We suggest including the analysis of interval timing and temporal memory in tests of genetically modified mice for learning and memory and argue that our paradigm allows this to be done simply and efficiently.

Entities:  

Mesh:

Year:  2007        PMID: 17696995      PMCID: PMC2649730          DOI: 10.1111/j.1601-183X.2007.00348.x

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  21 in total

Review 1.  Emotion circuits in the brain.

Authors:  J E LeDoux
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

2.  Effects of the dopamine D2 agonist, quinpirole, on time and number processing in rats.

Authors:  A Santi; R Coppa; L Ross
Journal:  Pharmacol Biochem Behav       Date:  2001-01       Impact factor: 3.533

3.  Sources of variability and systematic error in mouse timing behavior.

Authors:  C R Gallistel; Adam King; Robert McDonald
Journal:  J Exp Psychol Anim Behav Process       Date:  2004-01

4.  The learning curve: implications of a quantitative analysis.

Authors:  Charles R Gallistel; Stephen Fairhurst; Peter Balsam
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-26       Impact factor: 11.205

5.  Effects of D-amphetamine on temporal discrimination in pigeons.

Authors:  E A McClure; K A Saulsgiver; C D L Wynne
Journal:  Behav Pharmacol       Date:  2005-07       Impact factor: 2.293

6.  Discrimination of stimulus duration and d-amphetamine in pigeons: a psychophysical analysis.

Authors:  D A Stubbs; J R Thomas
Journal:  Psychopharmacologia       Date:  1974-05-15

7.  Autoshaped head poking in the mouse: a quantitative analysis of the learning curve.

Authors:  Efstathios B Papachristos; C R Gallistel
Journal:  J Exp Anal Behav       Date:  2006-05       Impact factor: 2.468

8.  Effects of methamphetamine on duration discrimination.

Authors:  Münire Ozlem Cevik
Journal:  Behav Neurosci       Date:  2003-08       Impact factor: 1.912

9.  Effects of D-amphetamine in a temporal discrimination procedure: selective changes in timing or rate dependency?

Authors:  Amy L Odum; Lori M Lieving; David W Schaai
Journal:  J Exp Anal Behav       Date:  2002-09       Impact factor: 2.468

10.  Identification of a signaling network in lateral nucleus of amygdala important for inhibiting memory specifically related to learned fear.

Authors:  Gleb P Shumyatsky; Evgeny Tsvetkov; Gaël Malleret; Svetlana Vronskaya; Michael Hatton; Lori Hampton; James F Battey; Catherine Dulac; Eric R Kandel; Vadim Y Bolshakov
Journal:  Cell       Date:  2002-12-13       Impact factor: 41.582

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  23 in total

1.  Screening for Learning and Memory Mutations: A New Approach.

Authors:  C R Gallistel; A P King; A M Daniel; D Freestone; E B Papachristos; F Balci; A Kheifets; J Zhang; X Su; G Schiff; H Kourtev
Journal:  Xin Li Xue Bao       Date:  2010-01-30

2.  A model of interval timing by neural integration.

Authors:  Patrick Simen; Fuat Balci; Laura de Souza; Jonathan D Cohen; Philip Holmes
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

3.  D1-dependent 4 Hz oscillations and ramping activity in rodent medial frontal cortex during interval timing.

Authors:  Krystal L Parker; Kuan-Hua Chen; Johnathan R Kingyon; James F Cavanagh; Nandakumar S Narayanan
Journal:  J Neurosci       Date:  2014-12-10       Impact factor: 6.167

4.  Prefrontal D1 dopamine signaling is required for temporal control.

Authors:  Nandakumar S Narayanan; Benjamin B Land; John E Solder; Karl Deisseroth; Ralph J DiLeone
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

Review 5.  Comprehensive neurocognitive endophenotyping strategies for mouse models of genetic disorders.

Authors:  Michael R Hunsaker
Journal:  Prog Neurobiol       Date:  2012-01-13       Impact factor: 11.685

6.  What is timed in a fixed-interval temporal bisection procedure?

Authors:  Adam E Fox; Katelyn E Prue; Elizabeth G E Kyonka
Journal:  Learn Behav       Date:  2016-12       Impact factor: 1.986

7.  Theoretical implications of quantitative properties of interval timing and probability estimation in mouse and rat.

Authors:  Aaron Kheifets; David Freestone; C R Gallistel
Journal:  J Exp Anal Behav       Date:  2017-06-27       Impact factor: 2.468

8.  Risk assessment in man and mouse.

Authors:  Fuat Balci; David Freestone; Charles R Gallistel
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

9.  Mice plan decision strategies based on previously learned time intervals, locations, and probabilities.

Authors:  Tuğçe Tosun; Ezgi Gür; Fuat Balcı
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-05       Impact factor: 11.205

10.  Interval timing accuracy and scalar timing in C57BL/6 mice.

Authors:  Catalin V Buhusi; Dyana Aziz; David Winslow; Rickey E Carter; Joshua E Swearingen; Mona C Buhusi
Journal:  Behav Neurosci       Date:  2009-10       Impact factor: 1.912

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