Literature DB >> 29121332

Frontostriatal and Dopamine Markers of Individual Differences in Reinforcement Learning: A Multi-modal Investigation.

Roselinde H Kaiser1,2, Michael T Treadway1,3, Dustin W Wooten4, Poornima Kumar1, Franziska Goer1, Laura Murray1, Miranda Beltzer1, Pia Pechtel1, Alexis Whitton1, Andrew L Cohen1, Nathaniel M Alpert3, Georges El Fakhri3, Marc D Normandin3, Diego A Pizzagalli1.   

Abstract

Prior studies have shown that dopamine (DA) functioning in frontostriatal circuits supports reinforcement learning (RL), as phasic DA activity in ventral striatum signals unexpected reward and may drive coordinated activity of striatal and orbitofrontal regions that support updating of action plans. However, the nature of DA functioning in RL is complex, in particular regarding the role of DA clearance in RL behavior. Here, in a multi-modal neuroimaging study with healthy adults, we took an individual differences approach to the examination of RL behavior and DA clearance mechanisms in frontostriatal learning networks. We predicted that better RL would be associated with decreased striatal DA transporter (DAT) availability and increased intrinsic functional connectivity among DA-rich frontostriatal regions. In support of these predictions, individual differences in RL behavior were related to DAT binding potential in ventral striatum and resting-state functional connectivity between ventral striatum and orbitofrontal cortex. Critically, DAT binding potential had an indirect effect on reinforcement learning behavior through frontostriatal connectivity, suggesting potential causal relationships across levels of neurocognitive functioning. These data suggest that individual differences in DA clearance and frontostriatal coordination may serve as markers for RL, and suggest directions for research on psychopathologies characterized by altered RL.

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Year:  2018        PMID: 29121332      PMCID: PMC6454484          DOI: 10.1093/cercor/bhx281

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  57 in total

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2.  Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks.

Authors:  Susan Whitfield-Gabrieli; Alfonso Nieto-Castanon
Journal:  Brain Connect       Date:  2012-07-19

3.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

Authors:  Kristopher J Preacher; Andrew F Hayes
Journal:  Behav Res Methods       Date:  2008-08

4.  Reinforcement learning in multidimensional environments relies on attention mechanisms.

Authors:  Yael Niv; Reka Daniel; Andra Geana; Samuel J Gershman; Yuan Chang Leong; Angela Radulescu; Robert C Wilson
Journal:  J Neurosci       Date:  2015-05-27       Impact factor: 6.167

Review 5.  Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective.

Authors:  Xi-Nian Zuo; Xiu-Xia Xing
Journal:  Neurosci Biobehav Rev       Date:  2014-05-27       Impact factor: 8.989

6.  Measuring extrastriatal dopamine release during a reward learning task.

Authors:  Elske Vrieze; Jenny Ceccarini; Diego A Pizzagalli; Guy Bormans; Mathieu Vandenbulcke; Koen Demyttenaere; Koen Van Laere; Stephan Claes
Journal:  Hum Brain Mapp       Date:  2011-11-23       Impact factor: 5.038

Review 7.  Opportunities and limitations of intrinsic functional connectivity MRI.

Authors:  Randy L Buckner; Fenna M Krienen; B T Thomas Yeo
Journal:  Nat Neurosci       Date:  2013-06-25       Impact factor: 24.884

8.  Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism.

Authors:  Michael J Frank
Journal:  J Cogn Neurosci       Date:  2005-01       Impact factor: 3.225

9.  Orbitofrontal cortex as a cognitive map of task space.

Authors:  G Schoenbaum; Yael Niv; Robert C Wilson; Yuji K Takahashi
Journal:  Neuron       Date:  2014-01-22       Impact factor: 17.173

10.  Individual differences in reinforcement learning: behavioral, electrophysiological, and neuroimaging correlates.

Authors:  Diane L Santesso; Daniel G Dillon; Jeffrey L Birk; Avram J Holmes; Elena Goetz; Ryan Bogdan; Diego A Pizzagalli
Journal:  Neuroimage       Date:  2008-07-02       Impact factor: 6.556

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  27 in total

1.  Nicotine normalizes cortico-striatal connectivity in non-smoking individuals with major depressive disorder.

Authors:  Amy C Janes; Maya Zegel; Kyoko Ohashi; Jennifer Betts; Elena Molokotos; David Olson; Lauren Moran; Diego A Pizzagalli
Journal:  Neuropsychopharmacology       Date:  2018-04-19       Impact factor: 7.853

2.  Inflammation and dimensions of reward processing following exposure to the influenza vaccine.

Authors:  Chloe C Boyle; Kate R Kuhlman; Larissa N Dooley; Marcie D Haydon; Theodore F Robles; Yuen-Siang Ang; Diego A Pizzagalli; Julienne E Bower
Journal:  Psychoneuroendocrinology       Date:  2018-11-20       Impact factor: 4.905

3.  Experimental sleep disruption and reward learning: moderating role of positive affect responses.

Authors:  Patrick H Finan; Alexis E Whitton; Janelle E Letzen; Bethany Remeniuk; Mercedes L Robinson; Michael R Irwin; Diego A Pizzagalli; Michael T Smith
Journal:  Sleep       Date:  2019-05-01       Impact factor: 5.849

4.  Pretreatment Reward Sensitivity and Frontostriatal Resting-State Functional Connectivity Are Associated With Response to Bupropion After Sertraline Nonresponse.

Authors:  Yuen-Siang Ang; Roselinde Kaiser; Thilo Deckersbach; Jorge Almeida; Mary L Phillips; Henry W Chase; Christian A Webb; Ramin Parsey; Maurizio Fava; Patrick McGrath; Myrna Weissman; Phil Adams; Patricia Deldin; Maria A Oquendo; Melvin G McInnis; Thomas Carmody; Gerard Bruder; Crystal M Cooper; Cherise R Chin Fatt; Madhukar H Trivedi; Diego A Pizzagalli
Journal:  Biol Psychiatry       Date:  2020-04-23       Impact factor: 13.382

5.  Potent Dopamine D2 Antagonists Block the Reward-Enhancing Effects of Nicotine in Smokers With Schizophrenia.

Authors:  Alexis E Whitton; Alan I Green; Diego A Pizzagalli; Robert M Roth; Jill M Williams; Mary F Brunette
Journal:  Schizophr Bull       Date:  2019-10-24       Impact factor: 9.306

6.  Evidence of a diurnal rhythm in implicit reward learning.

Authors:  Alexis E Whitton; Malavika Mehta; Manon L Ironside; Greg Murray; Diego A Pizzagalli
Journal:  Chronobiol Int       Date:  2018-04-24       Impact factor: 2.877

7.  Anhedonia in depression: biological mechanisms and computational models.

Authors:  Jessica A Cooper; Amanda R Arulpragasam; Michael T Treadway
Journal:  Curr Opin Behav Sci       Date:  2018-08

8.  Dopamine Release in Antidepressant-Naive Major Depressive Disorder: A Multimodal [11C]-(+)-PHNO Positron Emission Tomography and Functional Magnetic Resonance Imaging Study.

Authors:  Franklin R Schneier; Mark Slifstein; Alexis E Whitton; Diego A Pizzagalli; Jenna Reinen; Patrick J McGrath; Dan V Iosifescu; Anissa Abi-Dargham
Journal:  Biol Psychiatry       Date:  2018-05-25       Impact factor: 13.382

9.  Selective kappa-opioid antagonism ameliorates anhedonic behavior: evidence from the Fast-fail Trial in Mood and Anxiety Spectrum Disorders (FAST-MAS).

Authors:  Diego A Pizzagalli; Moria Smoski; Yuen-Siang Ang; Alexis E Whitton; Gerard Sanacora; Sanjay J Mathew; John Nurnberger; Sarah H Lisanby; Dan V Iosifescu; James W Murrough; Hongqiu Yang; Richard D Weiner; Joseph R Calabrese; Wayne Goodman; William Z Potter; Andrew D Krystal
Journal:  Neuropsychopharmacology       Date:  2020-06-16       Impact factor: 7.853

10.  A randomized proof-of-mechanism trial applying the 'fast-fail' approach to evaluating κ-opioid antagonism as a treatment for anhedonia.

Authors:  Andrew D Krystal; Diego A Pizzagalli; Moria Smoski; Sanjay J Mathew; John Nurnberger; Sarah H Lisanby; Dan Iosifescu; James W Murrough; Hongqiu Yang; Richard D Weiner; Joseph R Calabrese; Gerard Sanacora; Gretchen Hermes; Richard S E Keefe; Allen Song; Wayne Goodman; Steven T Szabo; Alexis E Whitton; Keming Gao; William Z Potter
Journal:  Nat Med       Date:  2020-03-30       Impact factor: 53.440

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