GLOBAL RESEARCH SYNDICATE
No Result
View All Result
  • Login
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
No Result
View All Result
globalresearchsyndicate
No Result
View All Result
Home Data Analysis

Local and global consequences of reward-evoked striatal dopamine release

globalresearchsyndicate by globalresearchsyndicate
April 1, 2020
in Data Analysis
0
Local and global consequences of reward-evoked striatal dopamine release
0
SHARES
10
VIEWS
Share on FacebookShare on Twitter

  • 1.

    Wise, R. A. Dopamine, learning and motivation. Nat. Rev. Neurosci. 5, 483–494 (2004).

  • 2.

    Berke, J. D. What does dopamine mean? Nat. Neurosci. 21, 787–793 (2018).

  • 3.

    Bamford, N. S., Wightman, R. M. & Sulzer, D. Dopamine’s effects on corticostriatal synapses during reward-based behaviors. Neuron 97, 494–510 (2018).

  • 4.

    Lee, T., Cai, L. X., Lelyveld, V. S., Hai, A. & Jasanoff, A. Molecular-level functional magnetic resonance imaging of dopaminergic signaling. Science 344, 533–535 (2014).

  • 5.

    Olds, J. & Milner, P. Positive reinforcement produced by electrical stimulation of septal area and other regions of rat brain. J. Comp. Physiol. Psychol. 47, 419–427 (1954).

  • 6.

    Brustad, E. M. et al. Structure-guided directed evolution of highly selective p450-based magnetic resonance imaging sensors for dopamine and serotonin. J. Mol. Biol. 422, 245–262 (2012).

  • 7.

    Kundu, P. et al. Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proc. Natl Acad. Sci. USA 110, 16187–16192 (2013).

  • 8.

    Shapiro, M. G. et al. Directed evolution of a magnetic resonance imaging contrast agent for noninvasive imaging of dopamine. Nat. Biotechnol. 28, 264–270 (2010).

  • 9.

    Krautwald, K., Min, H. K., Lee, K. H. & Angenstein, F. Synchronized electrical stimulation of the rat medial forebrain bundle and perforant pathway generates an additive BOLD response in the nucleus accumbens and prefrontal cortex. Neuroimage 77, 14–25 (2013).

  • 10.

    Fiallos, A. M. et al. Reward magnitude tracking by neural populations in ventral striatum. Neuroimage 146, 1003–1015 (2017).

  • 11.

    O’Doherty, J. P., Dayan, P., Friston, K., Critchley, H. & Dolan, R. J. Temporal difference models and reward-related learning in the human brain. Neuron 38, 329–337 (2003).

  • 12.

    Brocka, M. et al. Contributions of dopaminergic and non-dopaminergic neurons to VTA-stimulation induced neurovascular responses in brain reward circuits. Neuroimage 177, 88–97 (2018).

  • 13.

    Logothetis, N. K. The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal. Phil. Trans. R. Soc. Lond. B 357, 1003–1037 (2002).

  • 14.

    Mandeville, J. B. et al. A receptor-based model for dopamine-induced fMRI signal. Neuroimage 75, 46–57 (2013).

  • 15.

    Boja, J. W. et al. High-affinity binding of [125I]RTI-55 to dopamine and serotonin transporters in rat brain. Synapse 12, 27–36 (1992).

  • 16.

    Freed, C. et al. Dopamine transporter immunoreactivity in rat brain. J. Comp. Neurol. 359, 340–349 (1995).

  • 17.

    Kapogiannis, D., Campion, P., Grafman, J. & Wassermann, E. M. Reward-related activity in the human motor cortex. Eur. J. Neurosci. 27, 1836–1842 (2008).

  • 18.

    Naqvi, N. H. & Bechara, A. The hidden island of addiction: the insula. Trends Neurosci. 32, 56–67 (2009).

  • 19.

    Arsenault, J. T., Nelissen, K., Jarraya, B. & Vanduffel, W. Dopaminergic reward signals selectively decrease fMRI activity in primate visual cortex. Neuron 77, 1174–1186 (2013).

  • 20.

    Stuber, G. D. & Wise, R. A. Lateral hypothalamic circuits for feeding and reward. Nat. Neurosci. 19, 198–205 (2016).

  • 21.

    Lee, H. J. et al. Activation of direct and indirect pathway medium spiny neurons drives distinct brain-wide responses. Neuron 91, 412–424 (2016).

  • 22.

    Tritsch, N. X. & Sabatini, B. L. Dopaminergic modulation of synaptic transmission in cortex and striatum. Neuron 76, 33–50 (2012).

  • 23.

    Ferenczi, E. A. et al. Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior. Science 351, aac9698 (2016).

  • 24.

    Decot, H. K. et al. Coordination of brain-wide activity dynamics by dopaminergic neurons. Neuropsychopharmacology 42, 615–627 (2017).

  • 25.

    Nakano, T., Doi, T., Yoshimoto, J. & Doya, K. A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity. PLOS Comput. Biol. 6, e1000670 (2010).

  • 26.

    Gerfen, C. R. & Surmeier, D. J. Modulation of striatal projection systems by dopamine. Annu. Rev. Neurosci. 34, 441–466 (2011).

  • 27.

    Klein-Flügge, M. C., Hunt, L. T., Bach, D. R., Dolan, R. J. & Behrens, T. E. Dissociable reward and timing signals in human midbrain and ventral striatum. Neuron 72, 654–664 (2011).

  • 28.

    Koerber, J., Goodman, D., Barnes, J. L. & Grimm, J. W. The dopamine D2 antagonist eticlopride accelerates extinction and delays reacquisition of food self-administration in rats. Behav. Pharmacol. 24, 633–639 (2013).

  • 29.

    Verty, A. N., McGregor, I. S. & Mallet, P. E. The dopamine receptor antagonist SCH 23390 attenuates feeding induced by Δ9-tetrahydrocannabinol. Brain Res. 1020, 188–195 (2004).

  • 30.

    Calaminus, C. & Hauber, W. Intact discrimination reversal learning but slowed responding to reward-predictive cues after dopamine D1 and D2 receptor blockade in the nucleus accumbens of rats. Psychopharmacology (Berl.) 191, 551–566 (2007).

  • 31.

    Lex, A. & Hauber, W. Dopamine D1 and D2 receptors in the nucleus accumbens core and shell mediate Pavlovian-instrumental transfer. Learn. Mem. 15, 483–491 (2008).

  • 32.

    Cox, R. W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29, 162–173 (1996).

  • 33.

    Papp, E. A., Leergaard, T. B., Calabrese, E., Johnson, G. A. & Bjaalie, J. G. Waxholm Space atlas of the Sprague Dawley rat brain. Neuroimage 97, 374–386 (2014).

  • 34.

    Papp, E. A., Leergaard, T. B., Calabrese, E., Johnson, G. A. & Bjaalie, J. G. Addendum to “Waxholm Space atlas of the Sprague Dawley rat brain” [NeuroImage 97 (2014) 374-386]. Neuroimage 105, 561–562 (2015).

  • 35.

    Paxinos, G. & Watson, C. The Rat Brain in Stereotaxic Coordinates Compact 6th Edn (Academic, 2009).

  • 36.

    Kundu, P., Inati, S. J., Evans, J. W., Luh, W. M. & Bandettini, P. A. Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI. Neuroimage 60, 1759–1770 (2012).

  • 37.

    Peltier, S. J. & Noll, D. C. T. T2* dependence of low frequency functional connectivity. Neuroimage 16, 985–992 (2002).

  • 38.

    Kundu, P., Santin, M. D., Bandettini, P. A., Bullmore, E. T. & Petiet, A. Differentiating BOLD and non-BOLD signals in fMRI time series from anesthetized rats using multi-echo EPI at 11.7 T. Neuroimage 102, 861–874 (2014).

  • 39.

    Frahm, J., Merboldt, K. D., Hänicke, W., Kleinschmidt, A. & Boecker, H. Brain or vein—oxygenation or flow? On signal physiology in functional MRI of human brain activation. NMR Biomed. 7, 45–53 (1994).

  • 40.

    Frahm, J., Merboldt, K. D. & Hänicke, W. Functional MRI of human brain activation at high spatial resolution. Magn. Reson. Med. 29, 139–144 (1993).

  • 41.

    Kim, S. G., Hendrich, K., Hu, X., Merkle, H. & Uğurbil, K. Potential pitfalls of functional MRI using conventional gradient-recalled echo techniques. NMR Biomed. 7, 69–74 (1994).

  • 42.

    Diemling, M., Barth, M. & Moser, E. Quantification of signal changes in gradient recalled echo FMRI. Magn. Reson. Imaging 15, 753–762 (1997).

  • 43.

    Wang, X., Zhu, X. H., Zhang, Y. & Chen, W. Large enhancement of perfusion contribution on fMRI signal. J. Cereb. Blood Flow Metab. 32, 907–918 (2012).

  • Related Posts

    How Machine Learning has impacted Consumer Behaviour and Analysis
    Consumer Research

    How Machine Learning has impacted Consumer Behaviour and Analysis

    January 4, 2024
    Market Research The Ultimate Weapon for Business Success
    Consumer Research

    Market Research: The Ultimate Weapon for Business Success

    June 22, 2023
    Unveiling the Hidden Power of Market Research A Game Changer
    Consumer Research

    Unveiling the Hidden Power of Market Research: A Game Changer

    June 2, 2023
    7 Secrets of Market Research Gurus That Will Blow Your Mind
    Consumer Research

    7 Secrets of Market Research Gurus That Will Blow Your Mind

    May 8, 2023
    The Shocking Truth About Market Research Revealed!
    Consumer Research

    The Shocking Truth About Market Research: Revealed!

    April 25, 2023
    market research, primary research, secondary research, market research trends, market research news,
    Consumer Research

    Quantitative vs. Qualitative Research. How to choose the Right Research Method for Your Business Needs

    March 14, 2023
    Next Post
    Global Digital Twin Market Projected to Reach $30.1 Billion by the End of the Forecast Period, 2019-2025

    Global Digital Twin Market Projected to Reach $30.1 Billion by the End of the Forecast Period, 2019-2025

    Categories

    • Consumer Research
    • Data Analysis
    • Data Collection
    • Industry Research
    • Latest News
    • Market Insights
    • Marketing Research
    • Survey Research
    • Uncategorized

    Recent Posts

    • Ipsos Revolutionizes the Global Market Research Landscape
    • How Machine Learning has impacted Consumer Behaviour and Analysis
    • Market Research: The Ultimate Weapon for Business Success
    • Privacy Policy
    • Terms of Use
    • Antispam
    • DMCA

    Copyright © 2024 Globalresearchsyndicate.com

    Welcome Back!

    Login to your account below

    Forgotten Password?

    Retrieve your password

    Please enter your username or email address to reset your password.

    Log In
    This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
    Privacy & Cookies Policy

    Privacy Overview

    This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
    Necessary
    Always Enabled
    Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
    Non-necessary
    Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
    SAVE & ACCEPT
    No Result
    View All Result
    • Latest News
    • Consumer Research
    • Survey Research
    • Marketing Research
    • Industry Research
    • Data Collection
    • More
      • Data Analysis
      • Market Insights

    Copyright © 2024 Globalresearchsyndicate.com