Literature DB >> 14973239

A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task.

Masahiko Haruno1, Tomoe Kuroda, Kenji Doya, Keisuke Toyama, Minoru Kimura, Kazuyuki Samejima, Hiroshi Imamizu, Mitsuo Kawato.   

Abstract

Humans can acquire appropriate behaviors that maximize rewards on a trial-and-error basis. Recent electrophysiological and imaging studies have demonstrated that neural activity in the midbrain and ventral striatum encodes the error of reward prediction. However, it is yet to be examined whether the striatum is the main locus of reward-based behavioral learning. To address this, we conducted functional magnetic resonance imaging (fMRI) of a stochastic decision task involving monetary rewards, in which subjects had to learn behaviors involving different task difficulties that were controlled by probability. We performed a correlation analysis of fMRI data by using the explanatory variables derived from subject behaviors. We found that activity in the caudate nucleus was correlated with short-term reward and, furthermore, paralleled the magnitude of a subject's behavioral change during learning. In addition, we confirmed that this parallelism between learning and activity in the caudate nucleus is robustly maintained even when we vary task difficulty by controlling the probability. These findings suggest that the caudate nucleus is one of the main loci for reward-based behavioral learning.

Entities:  

Mesh:

Year:  2004        PMID: 14973239      PMCID: PMC6730455          DOI: 10.1523/JNEUROSCI.3417-03.2004

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  90 in total

1.  Caudate Volume in Offspring at Ultra High Risk for Alcohol Dependence: COMT Val158Met, DRD2, Externalizing Disorders, and Working Memory.

Authors:  Shirley Y Hill; Sarah Lichenstein; Shuhui Wang; Howard Carter; Michael McDermott
Journal:  Adv J Mol Imaging       Date:  2013-10-01

2.  The social evaluation of faces: a meta-analysis of functional neuroimaging studies.

Authors:  Peter Mende-Siedlecki; Christopher P Said; Alexander Todorov
Journal:  Soc Cogn Affect Neurosci       Date:  2012-01-27       Impact factor: 3.436

3.  Predictive value and reward in implicit classification learning.

Authors:  Judith M Lam; Tobias Wächter; Christoph Globas; Hans-Otto Karnath; Andreas R Luft
Journal:  Hum Brain Mapp       Date:  2012-03-15       Impact factor: 5.038

4.  Brain abnormalities in cognition, anxiety, and depression regulatory regions in adolescents with single ventricle heart disease.

Authors:  Nancy A Pike; Bhaswati Roy; Ritika Gupta; Sadhana Singh; Mary A Woo; Nancy J Halnon; Alan B Lewis; Rajesh Kumar
Journal:  J Neurosci Res       Date:  2018-01-06       Impact factor: 4.164

Review 5.  Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.

Authors:  Xun Liu; Jacqueline Hairston; Madeleine Schrier; Jin Fan
Journal:  Neurosci Biobehav Rev       Date:  2010-12-24       Impact factor: 8.989

6.  Social anhedonia in major depressive disorder: a symptom-specific neuroimaging approach.

Authors:  Verena Enneking; Pia Krüssel; Dario Zaremba; Katharina Dohm; Dominik Grotegerd; Katharina Förster; Susanne Meinert; Christian Bürger; Fanni Dzvonyar; Elisabeth J Leehr; Joscha Böhnlein; Jonathan Repple; Nils Opel; Nils R Winter; Tim Hahn; Ronny Redlich; Udo Dannlowski
Journal:  Neuropsychopharmacology       Date:  2018-11-27       Impact factor: 7.853

7.  Affective status in relation to impulsive, motor and motivational symptoms: personality, development and physical exercise.

Authors:  Tomas Palomo; Richard J Beninger; Richard M Kostrzewa; Trevor Archer
Journal:  Neurotox Res       Date:  2008-10       Impact factor: 3.911

8.  Differential encoding of losses and gains in the human striatum.

Authors:  Ben Seymour; Nathaniel Daw; Peter Dayan; Tania Singer; Ray Dolan
Journal:  J Neurosci       Date:  2007-05-02       Impact factor: 6.167

9.  Differential effect of reward and punishment on procedural learning.

Authors:  Tobias Wächter; Ovidiu V Lungu; Tao Liu; Daniel T Willingham; James Ashe
Journal:  J Neurosci       Date:  2009-01-14       Impact factor: 6.167

10.  Understanding overbidding: using the neural circuitry of reward to design economic auctions.

Authors:  Mauricio R Delgado; Andrew Schotter; Erkut Y Ozbay; Elizabeth A Phelps
Journal:  Science       Date:  2008-09-26       Impact factor: 47.728

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.