Literature DB >> 27145915

Reward and Aversion.

Hailan Hu1,2.   

Abstract

To benefit from opportunities and cope with challenges in the environment, animals must adapt their behavior to acquire rewards and to avoid punishments. Maladaptive changes in the neuromodulatory systems and neural circuits for reward and aversion can lead to manifestation of several prominent psychiatric disorders including addiction and depression. Recent progress is pushing the boundaries of knowledge on two major fronts in research on reward and aversion: First, new layers of complexity have been reported on the functions of dopamine (DA) and serotonin (5-HT) neuromodulatory systems in reward and aversion. Second, specific circuit components in the neural pathways that encode reward and aversion have begun to be identified. This review aims to outline historic perspectives and new insights into the functions of DA and 5-HT systems in coding the distinct components of rewards. It also highlights recent advances in neural circuit studies enabled by new technologies, such as cell-type-specific electrophysiology and tracing, and optogenetics-based behavioral manipulation. This knowledge may provide guidance for developing novel treatment strategies for neuropsychiatric diseases related to the malfunction of the reward system.

Entities:  

Keywords:  NAc; VTA; aversion; dopamine; reward; serotonin

Mesh:

Substances:

Year:  2016        PMID: 27145915     DOI: 10.1146/annurev-neuro-070815-014106

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  70 in total

1.  A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System.

Authors:  Johannes W de Jong; Seyedeh Atiyeh Afjei; Iskra Pollak Dorocic; James R Peck; Christine Liu; Christina K Kim; Lin Tian; Karl Deisseroth; Stephan Lammel
Journal:  Neuron       Date:  2018-11-29       Impact factor: 17.173

Review 2.  The Property-Based Practical Applications and Solutions of Genetically Encoded Acetylcholine and Monoamine Sensors.

Authors:  Jun Chen; Katriel E Cho; Daria Skwarzynska; Shaylyn Clancy; Nicholas J Conley; Sarah M Clinton; Xiaokun Li; Li Lin; J Julius Zhu
Journal:  J Neurosci       Date:  2021-02-24       Impact factor: 6.167

Review 3.  Illuminating the Activated Brain: Emerging Activity-Dependent Tools to Capture and Control Functional Neural Circuits.

Authors:  Qiye He; Jihua Wang; Hailan Hu
Journal:  Neurosci Bull       Date:  2018-09-26       Impact factor: 5.203

Review 4.  The neural and computational systems of social learning.

Authors:  Andreas Olsson; Ewelina Knapska; Björn Lindström
Journal:  Nat Rev Neurosci       Date:  2020-03-12       Impact factor: 34.870

5.  Learning and Stress Shape the Reward Response Patterns of Serotonin Neurons.

Authors:  Weixin Zhong; Yi Li; Qiru Feng; Minmin Luo
Journal:  J Neurosci       Date:  2017-08-08       Impact factor: 6.167

6.  Amygdala-hippocampal innervation modulates stress-induced depressive-like behaviors through AMPA receptors.

Authors:  Hui Ma; Chenyang Li; Jinpeng Wang; Xiaochen Zhang; Mingyue Li; Rong Zhang; Zhuo Huang; Yong Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-09       Impact factor: 11.205

7.  Oxycodone-Mediated Activation of the Mu Opioid Receptor Reduces Whole Brain Functional Connectivity in Mice.

Authors:  Md Taufiq Nasseef; Jai Puneet Singh; Aliza T Ehrlich; Michael McNicholas; Da Woon Park; Weiya Ma; Praveen Kulkarni; Brigitte L Kieffer; Emmanuel Darcq
Journal:  ACS Pharmacol Transl Sci       Date:  2019-06-28

8.  A neural pathway controlling motivation to exert effort.

Authors:  Christophe D Proulx; Sage Aronson; Djordje Milivojevic; Cris Molina; Alan Loi; Bradley Monk; Steven J Shabel; Roberto Malinow
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-11       Impact factor: 11.205

9.  A Basal Ganglia Circuit Sufficient to Guide Birdsong Learning.

Authors:  Lei Xiao; Gaurav Chattree; Francisco Garcia Oscos; Mou Cao; Matthew J Wanat; Todd F Roberts
Journal:  Neuron       Date:  2018-03-15       Impact factor: 17.173

Review 10.  Neural Circuit Motifs in Valence Processing.

Authors:  Kay M Tye
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

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