Literature DB >> 27226454

Neural and neurochemical basis of reinforcement-guided decision making.

Abbas Khani1, Gregor Rainer2.   

Abstract

Decision making is an adaptive behavior that takes into account several internal and external input variables and leads to the choice of a course of action over other available and often competing alternatives. While it has been studied in diverse fields ranging from mathematics, economics, ecology, and ethology to psychology and neuroscience, recent cross talk among perspectives from different fields has yielded novel descriptions of decision processes. Reinforcement-guided decision making models are based on economic and reinforcement learning theories, and their focus is on the maximization of acquired benefit over a defined period of time. Studies based on reinforcement-guided decision making have implicated a large network of neural circuits across the brain. This network includes a wide range of cortical (e.g., orbitofrontal cortex and anterior cingulate cortex) and subcortical (e.g., nucleus accumbens and subthalamic nucleus) brain areas and uses several neurotransmitter systems (e.g., dopaminergic and serotonergic systems) to communicate and process decision-related information. This review discusses distinct as well as overlapping contributions of these networks and neurotransmitter systems to the processing of decision making. We end the review by touching on neural circuitry and neuromodulatory regulation of exploratory decision making.
Copyright © 2016 the American Physiological Society.

Keywords:  anterior cingulate cortex; cannabinoid; decision making; dopamine; foraging; nucleus accumbens; orbitofrontal cortex; reinforcement-guided decision making; serotonin

Mesh:

Substances:

Year:  2016        PMID: 27226454     DOI: 10.1152/jn.01113.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents.

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2.  Role of the agranular insular cortex in contextual control over cocaine-seeking behavior in rats.

Authors:  Amy A Arguello; Rong Wang; Carey M Lyons; Jessica A Higginbotham; Matthew A Hodges; Rita A Fuchs
Journal:  Psychopharmacology (Berl)       Date:  2017-05-02       Impact factor: 4.530

3.  Drosophila divalent metal ion transporter Malvolio is required in dopaminergic neurons for feeding decisions.

Authors:  E Søvik; A LaMora; G Seehra; A B Barron; J G Duncan; Y Ben-Shahar
Journal:  Genes Brain Behav       Date:  2017-03-15       Impact factor: 3.449

Review 4.  A roadmap to integrate astrocytes into Systems Neuroscience.

Authors:  Ksenia V Kastanenka; Rubén Moreno-Bote; Maurizio De Pittà; Gertrudis Perea; Abel Eraso-Pichot; Roser Masgrau; Kira E Poskanzer; Elena Galea
Journal:  Glia       Date:  2019-05-06       Impact factor: 7.452

5.  Mediodorsal Thalamic Neurons Mirror the Activity of Medial Prefrontal Neurons Responding to Movement and Reinforcement during a Dynamic DNMTP Task.

Authors:  Rikki L A Miller; Miranda J Francoeur; Brett M Gibson; Robert G Mair
Journal:  eNeuro       Date:  2017-10-13

6.  Context-dependent relationships between locus coeruleus firing patterns and coordinated neural activity in the anterior cingulate cortex.

Authors:  Siddhartha Joshi; Joshua I Gold
Journal:  Elife       Date:  2022-01-07       Impact factor: 8.713

7.  Neural functional architecture and modulation during decision making under uncertainty in individuals with generalized anxiety disorder.

Authors:  Michal Assaf; Liron Rabany; Luis Zertuche; Laura Bragdon; David Tolin; John Goethe; Gretchen Diefenbach
Journal:  Brain Behav       Date:  2018-06-21       Impact factor: 2.708

Review 8.  Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers.

Authors:  Takashi Yamada; Ryu-Ichiro Hashimoto; Noriaki Yahata; Naho Ichikawa; Yujiro Yoshihara; Yasumasa Okamoto; Nobumasa Kato; Hidehiko Takahashi; Mitsuo Kawato
Journal:  Int J Neuropsychopharmacol       Date:  2017-10-01       Impact factor: 5.176

Review 9.  A neurobiological perspective on social influence: Serotonin and social adaptation.

Authors:  Patricia Duerler; Franz X Vollenweider; Katrin H Preller
Journal:  J Neurochem       Date:  2022-03-31       Impact factor: 5.546

  9 in total

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