Input-specific control of reward and aversion in the ventral tegmental area
Stephan Lammel,
Byung Kook Lim,
Chen Ran,
Kee Wui Huang,
Michael J. Betley,
Kay M. Tye,
Karl Deisseroth and
Robert C. Malenka ()
Additional contact information
Stephan Lammel: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Byung Kook Lim: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Chen Ran: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Kee Wui Huang: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Michael J. Betley: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Kay M. Tye: Picower Institute for Learning and Memory, Massachusetts Institute of Technology
Karl Deisseroth: Stanford University
Robert C. Malenka: Nancy Pritzker Laboratory, Stanford University School of Medicine, 265 Campus Drive
Nature, 2012, vol. 491, issue 7423, 212-217
Abstract:
Abstract Ventral tegmental area (VTA) dopamine neurons have important roles in adaptive and pathological brain functions related to reward and motivation. However, it is unknown whether subpopulations of VTA dopamine neurons participate in distinct circuits that encode different motivational signatures, and whether inputs to the VTA differentially modulate such circuits. Here we show that, because of differences in synaptic connectivity, activation of inputs to the VTA from the laterodorsal tegmentum and the lateral habenula elicit reward and aversion in mice, respectively. Laterodorsal tegmentum neurons preferentially synapse on dopamine neurons projecting to the nucleus accumbens lateral shell, whereas lateral habenula neurons synapse primarily on dopamine neurons projecting to the medial prefrontal cortex as well as on GABAergic (γ-aminobutyric-acid-containing) neurons in the rostromedial tegmental nucleus. These results establish that distinct VTA circuits generate reward and aversion, and thereby provide a new framework for understanding the circuit basis of adaptive and pathological motivated behaviours.
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/nature11527 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:491:y:2012:i:7423:d:10.1038_nature11527
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/nature11527
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().