Literature DB >> 30218623

Contributions of nucleus accumbens dopamine to cognitive flexibility.

Anna K Radke1,2,3, Adrina Kocharian1, Dan P Covey4,5, David M Lovinger5, Joseph F Cheer4,5, Yolanda Mateo6, Andrew Holmes1.   

Abstract

There is a compelling evidence that midbrain dopamine (DA) neurons and their projections to the ventral striatum provide a mechanism for motivating reward-seeking behavior, and for utilizing information about unexpected reward prediction errors (RPEs) to guide behavior based on current, rather than historical, outcomes. When this mechanism is compromised in addictions, it may produce patterns of maladaptive behavior that remain obdurate in the face of contrary information and even adverse consequences. Nonetheless, DAergic contributions to performance on behavioral tasks that rely on the ability to flexibly update stimulus-reward relationships remains incompletly understood. In the current study, we used a discrimination and reversal paradigm to monitor subsecond DA release in mouse NAc core (NAc) using in vivo fast-scan cyclic voltammetry (FSCV). We observed post-choice elevations in phasic NAc DA release; however, increased DA transients were only evident during early reversal when mice made responses at the newly rewarded stimulus. Based on this finding, we used in vivo optogenetic (eNpHR) photosilencing and (Channelrhodopsin2 [ChR2]) photostimulation to assess the effects of manipulating VTA-DAergic fibers in the NAc on reversal performance. Photosilencing the VTA → NAc DAergic pathway during early reversal increased errors, while photostimulation did not demonstrably affect behavior. Taken together, these data provide additional evidence of the importance of NAc DA release as a neural substrate supporting adjustments in learned behavior after a switch in expected stimulus-reward contingencies. These findings have possible implications for furthering understanding the role of DA in persistent, maladaptive decision-making characterizing addictions. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  mouse; optogenetics; prediction error; reversal learning; voltammetry

Mesh:

Year:  2018        PMID: 30218623      PMCID: PMC6421566          DOI: 10.1111/ejn.14152

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  97 in total

1.  Subsecond dopamine release promotes cocaine seeking.

Authors:  Paul E M Phillips; Garret D Stuber; Michael L A V Heien; R Mark Wightman; Regina M Carelli
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

2.  Overoxidation of carbon-fiber microelectrodes enhances dopamine adsorption and increases sensitivity.

Authors:  Michael L A V Heien; Paul E M Phillips; Garret D Stuber; Andrew T Seipel; R Mark Wightman
Journal:  Analyst       Date:  2003-11-11       Impact factor: 4.616

3.  Real-time measurements of phasic changes in extracellular dopamine concentration in freely moving rats by fast-scan cyclic voltammetry.

Authors:  Paul E M Phillips; Donita L Robinson; Garret D Stuber; Regina M Carelli; R Mark Wightman
Journal:  Methods Mol Med       Date:  2003

4.  Drive decay: the cause of fast "extinction" of habits learned for brain stimulation.

Authors:  C I HOWARTH; J A DEUTSCH
Journal:  Science       Date:  1962-07-06       Impact factor: 47.728

5.  Self-stimulation of the brain; its use to study local effects of hunger, sex, and drugs.

Authors:  J OLDS
Journal:  Science       Date:  1958-02-14       Impact factor: 47.728

6.  Intra-accumbens amphetamine increases the conditioned incentive salience of sucrose reward: enhancement of reward "wanting" without enhanced "liking" or response reinforcement.

Authors:  C L Wyvell; K C Berridge
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

7.  Dopamine neurons report an error in the temporal prediction of reward during learning.

Authors:  J R Hollerman; W Schultz
Journal:  Nat Neurosci       Date:  1998-08       Impact factor: 24.884

8.  Dopamine operates as a subsecond modulator of food seeking.

Authors:  Mitchell F Roitman; Garret D Stuber; Paul E M Phillips; R Mark Wightman; Regina M Carelli
Journal:  J Neurosci       Date:  2004-02-11       Impact factor: 6.167

9.  Correlated coding of motivation and outcome of decision by dopamine neurons.

Authors:  Takemasa Satoh; Sadamu Nakai; Tatsuo Sato; Minoru Kimura
Journal:  J Neurosci       Date:  2003-10-29       Impact factor: 6.167

10.  Reward without dopamine.

Authors:  Claire Matson Cannon; Richard D Palmiter
Journal:  J Neurosci       Date:  2003-11-26       Impact factor: 6.167

View more
  16 in total

1.  Behavioral and synaptic alterations relevant to obsessive-compulsive disorder in mice with increased EAAT3 expression.

Authors:  Claudia Delgado-Acevedo; Sebastián F Estay; Anna K Radke; Ayesha Sengupta; Angélica P Escobar; Francisca Henríquez-Belmar; Cristopher A Reyes; Valentina Haro-Acuña; Elías Utreras; Ramón Sotomayor-Zárate; Andrew Cho; Jens R Wendland; Ashok B Kulkarni; Andrew Holmes; Dennis L Murphy; Andrés E Chávez; Pablo R Moya
Journal:  Neuropsychopharmacology       Date:  2018-12-26       Impact factor: 7.853

2.  Decreases in Cued Reward Seeking After Reward-Paired Inhibition of Mesolimbic Dopamine.

Authors:  Sarah Fischbach; Patricia H Janak
Journal:  Neuroscience       Date:  2019-04-25       Impact factor: 3.590

3.  Medial septum activation improves strategy switching once strategies are well-learned via bidirectional regulation of dopamine neuron population activity.

Authors:  David M Bortz; Catalina M Feistritzer; Cassidy C Power; Anthony A Grace
Journal:  Neuropsychopharmacology       Date:  2022-07-23       Impact factor: 8.294

4.  Prenatal allergic inflammation in rats programs the developmental trajectory of dendritic spine patterning in brain regions associated with cognitive and social behavior.

Authors:  Michaela R Breach; Courtney N Dye; Anabel Galan; Kathryn M Lenz
Journal:  Brain Behav Immun       Date:  2022-03-01       Impact factor: 19.227

5.  Improved visual discrimination learning in mice with partial 5-HT2B gene deletion.

Authors:  Anna K Radke; Patrick T Piantadosi; George R Uhl; F Scott Hall; Andrew Holmes
Journal:  Neurosci Lett       Date:  2020-09-10       Impact factor: 3.046

6.  Addiction in focus: molecular mechanisms, model systems, circuit maps, risk prediction and the quest for effective interventions.

Authors:  Rita Z Goldstein; Michel Barrot; Barry J Everitt; John J Foxe
Journal:  Eur J Neurosci       Date:  2019-08       Impact factor: 3.386

7.  Altered basal forebrain BOLD signal variability at rest in posttraumatic stress disorder: A potential candidate vulnerability mechanism for neurodegeneration in PTSD.

Authors:  Isadora Olivé; Nikos Makris; Maria Densmore; Margaret C McKinnon; Ruth A Lanius
Journal:  Hum Brain Mapp       Date:  2021-05-07       Impact factor: 5.399

Review 8.  Advances in understanding meso-cortico-limbic-striatal systems mediating risky reward seeking.

Authors:  Patrick T Piantadosi; Lindsay R Halladay; Anna K Radke; Andrew Holmes
Journal:  J Neurochem       Date:  2021-04-19       Impact factor: 5.546

9.  Dorsolateral striatum engagement during reversal learning.

Authors:  Hadley C Bergstrom; Abby G Lieberman; Carolyn Graybeal; Anna M Lipkin; Andrew Holmes
Journal:  Learn Mem       Date:  2020-09-15       Impact factor: 2.460

10.  Excitation of Diverse Classes of Cholecystokinin Interneurons in the Basal Amygdala Facilitates Fear Extinction.

Authors:  Laura Rovira-Esteban; Ozge Gunduz-Cinar; Olena Bukalo; Aaron Limoges; Emma Brockway; Kinga Müller; Lief Fenno; Yoon Seok Kim; Charu Ramakrishnan; Tibor Andrási; Karl Deisseroth; Andrew Holmes; Norbert Hájos
Journal:  eNeuro       Date:  2019-11-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.