Literature DB >> 19249380

Conditioned tone control of brain reward behavior produces highly specific representational gain in the primary auditory cortex.

Gabriel K Hui1, Kwan L Wong, Candice M Chavez, Matthew I Leon, Kinna M Robin, Norman M Weinberger.   

Abstract

Primary sensory cortices have been assumed to serve as stimulus analyzers while cognitive functions such as learning and memory have been allocated to "higher" cortical areas. However, the primary auditory cortex (A1) is now known to encode the acquired significance of sound as indicated by associatively-induced specific shifts of tuning to the frequencies of conditioned stimuli (CS) and gains in area of CS representations. Rewarding brain stimulation can be a very powerful motivator and brain reward systems have been implicated in addictive behavior. Therefore, it is possible that a cue for brain reward will gain cortical territory and perhaps thereby increase its control of subsequent behavior. To investigate the effect of brain reward on cortical organization, adult male rats (n=11) were first tested with varying amounts of stimulation of the ventral tegmental area (VTAstm) to generate sigmoidal psychometric functions of nose poke (NP) rates as a function of reward magnitude (duration). Next, we attempted to accomplish tone control of NPs by maintaining intertrial NPs using a low reward duration and presenting a 20s tone (2.0kHz, 70dB) which signaled an increase in reward to a high magnitude 10s after tone onset. Tone control was demonstrated by a significant increase in the rate of NPs during the first 10s of tone presentation, which anticipated the delivery of the high magnitude of reward. Tone control was achieved in seven of 11 subjects. This was accompanied by a highly specific and significant gain in representational area, specifically for the half-octave range centered on the CS frequency. However, this plasticity developed only in tone-controlled (TC) animals. The auditory cortex of non-tone-controlled subjects (n=4) did not differ from that of naïve controls (n=9) although their VTAstm was as rewarding as for the TC group. These findings reveal that auditory instrumental behavior can be controlled by rewarding VTAstm and that such control appears necessary for the highly specific recruitment of cortical cells to increase the representation of a sound that acquires behavioral importance.

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Year:  2009        PMID: 19249380      PMCID: PMC2891027          DOI: 10.1016/j.nlm.2009.02.008

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  33 in total

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2.  Induction of behavioral associative memory by stimulation of the nucleus basalis.

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3.  Daily variation and appetitive conditioning-induced plasticity of auditory cortex receptive fields.

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6.  Learning strategy determines auditory cortical plasticity.

Authors:  Kasia M Berlau; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2007-08-17       Impact factor: 2.877

Review 7.  The endocannabinoid system in brain reward processes.

Authors:  M Solinas; S R Goldberg; D Piomelli
Journal:  Br J Pharmacol       Date:  2008-04-14       Impact factor: 8.739

8.  Long-term consolidation and retention of learning-induced tuning plasticity in the auditory cortex of the guinea pig.

Authors:  Veronica V Galván; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2002-01       Impact factor: 2.877

Review 9.  Reward signaling by dopamine neurons.

Authors:  W Schultz
Journal:  Neuroscientist       Date:  2001-08       Impact factor: 7.519

10.  Experience-dependent plasticity in the auditory cortex and the inferior colliculus of bats: role of the corticofugal system.

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

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  17 in total

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2.  Extinction reveals that primary sensory cortex predicts reinforcement outcome.

Authors:  Kasia M Bieszczad; Norman M Weinberger
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3.  Potentiation of the early visual response to learned danger signals in adults and adolescents.

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4.  Representational gain in cortical area underlies increase of memory strength.

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5.  Optical imaging of plastic changes induced by fear conditioning in the auditory cortex.

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6.  Remodeling the cortex in memory: Increased use of a learning strategy increases the representational area of relevant acoustic cues.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2010-04-29       Impact factor: 2.877

7.  Fear conditioning induces guinea pig auditory cortex activation by foot shock alone.

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8.  Learning-dependent plasticity in human auditory cortex during appetitive operant conditioning.

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Review 9.  Set and setting: how behavioral state regulates sensory function and plasticity.

Authors:  Sara J Aton
Journal:  Neurobiol Learn Mem       Date:  2013-06-19       Impact factor: 2.877

10.  Learning strategy trumps motivational level in determining learning-induced auditory cortical plasticity.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2009-10-21       Impact factor: 2.877

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