Literature DB >> 20631684

Neurogenetics and pharmacology of learning, motivation, and cognition.

Michael J Frank1, John A Fossella.   

Abstract

Many of the individual differences in cognition, motivation, and learning-and the disruption of these processes in neurological conditions-are influenced by genetic factors. We provide an integrative synthesis across human and animal studies, focusing on a recent spate of evidence implicating a role for genes controlling dopaminergic function in frontostriatal circuitry, including COMT, DARPP-32, DAT1, DRD2, and DRD4. These genetic effects are interpreted within theoretical frameworks developed in the context of the broader cognitive and computational neuroscience literature, constrained by data from pharmacological, neuroimaging, electrophysiological, and patient studies. In this framework, genes modulate the efficacy of particular neural computations, and effects of genetic variation are revealed by assays designed to be maximally sensitive to these computations. We discuss the merits and caveats of this approach and outline a number of novel candidate genes of interest for future study.

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Year:  2010        PMID: 20631684      PMCID: PMC3055524          DOI: 10.1038/npp.2010.96

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  187 in total

Review 1.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
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Review 2.  The dopamine transporter and attention-deficit/hyperactivity disorder.

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3.  A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.

Authors:  Michael J Frank; Randall C O'Reilly
Journal:  Behav Neurosci       Date:  2006-06       Impact factor: 1.912

4.  Common variants on chromosome 6p22.1 are associated with schizophrenia.

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Journal:  Nature       Date:  2009-07-01       Impact factor: 49.962

5.  Human substantia nigra neurons encode unexpected financial rewards.

Authors:  Kareem A Zaghloul; Justin A Blanco; Christoph T Weidemann; Kathryn McGill; Jurg L Jaggi; Gordon H Baltuch; Michael J Kahana
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6.  Gene-gene interaction associated with neural reward sensitivity.

Authors:  Juliana Yacubian; Tobias Sommer; Katrin Schroeder; Jan Gläscher; Raffael Kalisch; Boris Leuenberger; Dieter F Braus; Christian Büchel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-02       Impact factor: 11.205

7.  Environmental neurotoxic pesticide increases histone acetylation to promote apoptosis in dopaminergic neuronal cells: relevance to epigenetic mechanisms of neurodegeneration.

Authors:  C Song; A Kanthasamy; V Anantharam; F Sun; A G Kanthasamy
Journal:  Mol Pharmacol       Date:  2010-01-22       Impact factor: 4.436

8.  Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards.

Authors:  Matthew R Roesch; Donna J Calu; Geoffrey Schoenbaum
Journal:  Nat Neurosci       Date:  2007-11-18       Impact factor: 24.884

9.  Variation in dopamine genes influences responsivity of the human reward system.

Authors:  Jean-Claude Dreher; Philip Kohn; Bhaskar Kolachana; Daniel R Weinberger; Karen Faith Berman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-22       Impact factor: 11.205

10.  Dopamine transporter genotype conveys familial risk of attention-deficit/hyperactivity disorder through striatal activation.

Authors:  Sarah Durston; John A Fossella; Martijn J Mulder; B J Casey; Tim B Ziermans; M Nathalie Vessaz; Herman VAN Engeland
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-01       Impact factor: 8.829

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  85 in total

Review 1.  From reinforcement learning models to psychiatric and neurological disorders.

Authors:  Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2011-02       Impact factor: 24.884

Review 2.  Dopamine in motivational control: rewarding, aversive, and alerting.

Authors:  Ethan S Bromberg-Martin; Masayuki Matsumoto; Okihide Hikosaka
Journal:  Neuron       Date:  2010-12-09       Impact factor: 17.173

Review 3.  The striatum: where skills and habits meet.

Authors:  Ann M Graybiel; Scott T Grafton
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-08-03       Impact factor: 10.005

4.  An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning.

Authors:  Meltem Sevgi; Lionel Rigoux; Anne B Kühn; Jan Mauer; Leonhard Schilbach; Martin E Hess; Theo O J Gruendler; Markus Ullsperger; Klaas Enno Stephan; Jens C Brüning; Marc Tittgemeyer
Journal:  J Neurosci       Date:  2015-09-09       Impact factor: 6.167

5.  Direct-pathway striatal neurons regulate the retention of decision-making strategies.

Authors:  Susan M Ferguson; Paul E M Phillips; Bryan L Roth; Jürgen Wess; John F Neumaier
Journal:  J Neurosci       Date:  2013-07-10       Impact factor: 6.167

6.  The neuromodulator of exploration: A unifying theory of the role of dopamine in personality.

Authors:  Colin G Deyoung
Journal:  Front Hum Neurosci       Date:  2013-11-14       Impact factor: 3.169

7.  Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis.

Authors:  Michael J Frank; David Badre
Journal:  Cereb Cortex       Date:  2011-06-21       Impact factor: 5.357

8.  Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action.

Authors:  Jennifer C Swart; Monja I Froböse; Jennifer L Cook; Dirk Em Geurts; Michael J Frank; Roshan Cools; Hanneke Em den Ouden
Journal:  Elife       Date:  2017-05-15       Impact factor: 8.140

Review 9.  Towards a better understanding of the cannabinoid-related orphan receptors GPR3, GPR6, and GPR12.

Authors:  Paula Morales; Israa Isawi; Patricia H Reggio
Journal:  Drug Metab Rev       Date:  2018-02-01       Impact factor: 4.518

Review 10.  How cognitive theory guides neuroscience.

Authors:  Michael J Frank; David Badre
Journal:  Cognition       Date:  2014-12-08
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