WWW.JNEUROSCI.ORG
-
The Journal of Neuroscience MBF Bioscience Autoneuron
 QUICK SEARCH:   [advanced]


     
-


HOME
  |  
SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

The Journal of Neuroscience, May 31, 2006, 26(22):6077-6081; doi:10.1523/JNEUROSCI.1316-06.2006

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit an eLetter
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (7)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lee, H. J.
Right arrow Articles by Holland, P. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, H. J.
Right arrow Articles by Holland, P. C.

 Previous Article  |  Next Article 

Brief Communications
Role of Substantia Nigra–Amygdala Connections in Surprise-Induced Enhancement of Attention

Hongjoo J. Lee, Jina M. Youn, Mary J. O, Michela Gallagher, and Peter C. Holland

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, Maryland 21218

Correspondence should be addressed to Dr. Hongjoo J. Lee, Johns Hopkins University, 3400 North Charles Street, 150 Ames Hall, Baltimore, MD 21218. Email: hjlee{at}jhu.edu

Coding of prediction error by midbrain dopamine neurons has been examined extensively in the framework of associative learning theory. Most of this research has focused on the role of prediction error in determining the reinforcement value of unconditioned stimuli: poorly predicted ("surprising") outcomes are more effective reinforcers and produce a greater dopamine response than well predicted outcomes. However, surprise also enhances attention to cues that signal poorly predicted outcomes. Previous reports from our laboratories demonstrated that circuitry, including the amygdala central nucleus (CeA), the cholinergic neurons of the substantia innominata/nucleus basalis region, and their innervation of the posterior parietal cortex, is critical to these surprise-induced enhancements of attention in associative learning. The present study considered the origin of prediction error information important for the operation of this system by examining the effects of disrupting communication between the midbrain substantia nigra pars compacta (SNc) and the CeA. Rats received unilateral lesions of the SNc and lesions of the CeA in either the contralateral or ipsilateral hemisphere. Contralateral lesions eliminated the surprise-induced enhancement of attention and learning that was displayed by rats with ipsilateral control lesions. These results show that SNc–CeA communication is critical to mechanisms by which the coding of prediction error by midbrain dopamine neurons is translated into enhancement of attention and learning modulated by the cholinergic system.

Key words: amygdala central nucleus; substantia nigra; attention; associative learning; prediction error; surprise


Received March 28, 2006; revised April 28, 2006; accepted April 28, 2006.

Correspondence should be addressed to Dr. Hongjoo J. Lee, Johns Hopkins University, 3400 North Charles Street, 150 Ames Hall, Baltimore, MD 21218. Email: hjlee{at}jhu.edu




This article has been cited by other articles:


Home page
Cogn Affect Behav NeurosciHome page
M. X. COHEN
Neurocomputational mechanisms of reinforcement-guided learning in humans: A review
Cogn Affect Behav Neurosci, June 1, 2008; 8(2): 113 - 125.
[Abstract] [PDF]



-

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help

-
Copyright 2008 by Society for Neuroscience ONLINE ISSN: 1529-2401
-