Volume 73, Issue 2, Pages (January 2012)

Slides:



Advertisements
Similar presentations
Volume 20, Issue 2, Pages (July 2017)
Advertisements

Volume 49, Issue 4, Pages (February 2006)
Volume 75, Issue 1, Pages (July 2012)
Elizabeth V. Goldfarb, Marvin M. Chun, Elizabeth A. Phelps  Neuron 
Endocannabinoids Control the Induction of Cerebellar LTD
Volume 82, Issue 6, Pages (June 2014)
Differential Dynamics of Activity Changes in Dorsolateral and Dorsomedial Striatal Loops during Learning  Catherine A. Thorn, Hisham Atallah, Mark Howe,
Volume 72, Issue 4, Pages (November 2011)
Activation of VTA GABA Neurons Disrupts Reward Consumption
Cell-Autonomous Excitation of Midbrain Dopamine Neurons by Endocannabinoid- Dependent Lipid Signaling  Stephanie C. Gantz, Bruce P. Bean  Neuron  Volume.
Volume 83, Issue 3, Pages (August 2014)
Volume 59, Issue 4, Pages (August 2008)
Volume 90, Issue 6, Pages (June 2016)
Dynamic Nigrostriatal Dopamine Biases Action Selection
Volume 96, Issue 5, Pages e4 (December 2017)
Liang Yang, Yong Qi, Yunlei Yang  Cell Reports 
Mismatch Receptive Fields in Mouse Visual Cortex
Volume 94, Issue 4, Pages e7 (May 2017)
Volume 97, Issue 4, Pages e6 (February 2018)
Nucleus Accumbens Neurons Are Innately Tuned for Rewarding and Aversive Taste Stimuli, Encode Their Predictors, and Are Linked to Motor Output  Mitchell.
Aleksander Sobczyk, Karel Svoboda  Neuron 
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Jianrong Tang, John A. Dani  Neuron 
CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation  Joshua P.
A Role for the Superior Colliculus in Decision Criteria
Volume 51, Issue 6, Pages (September 2006)
Volume 82, Issue 5, Pages (June 2014)
Leslie R. Whitaker, Mickael Degoulet, Hitoshi Morikawa  Neuron 
Inversely Active Striatal Projection Neurons and Interneurons Selectively Delimit Useful Behavioral Sequences  Nuné Martiros, Alexandra A. Burgess, Ann.
Volume 75, Issue 1, Pages (July 2012)
Torben Ott, Simon Nikolas Jacob, Andreas Nieder  Neuron 
Adaptation Disrupts Motion Integration in the Primate Dorsal Stream
Between Thoughts and Actions: Motivationally Salient Cues Invigorate Mental Action in the Human Brain  Avi Mendelsohn, Alex Pine, Daniela Schiller  Neuron 
Volume 23, Issue 1, Pages (April 2018)
Volume 78, Issue 5, Pages (June 2013)
Neuronal Activity in Primate Dorsal Anterior Cingulate Cortex Signals Task Conflict and Predicts Adjustments in Pupil-Linked Arousal  R. Becket Ebitz,
Ju Tian, Naoshige Uchida  Neuron 
Anubhuti Goel, Dean V. Buonomano  Neuron 
Franco Pestilli, Marisa Carrasco, David J. Heeger, Justin L. Gardner 
Independent Category and Spatial Encoding in Parietal Cortex
Volume 16, Issue 10, Pages (September 2016)
Caleb E. Strait, Tommy C. Blanchard, Benjamin Y. Hayden  Neuron 
Extinction of Cocaine Self-Administration Reveals Functionally and Temporally Distinct Dopaminergic Signals in the Nucleus Accumbens  Garret D. Stuber,
Georg B. Keller, Tobias Bonhoeffer, Mark Hübener  Neuron 
John T. Arsenault, Koen Nelissen, Bechir Jarraya, Wim Vanduffel  Neuron 
Volume 93, Issue 1, Pages (January 2017)
Volume 54, Issue 2, Pages (April 2007)
Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka  Neuron 
Volume 78, Issue 5, Pages (June 2013)
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Guilhem Ibos, David J. Freedman  Neuron 
Franco Pestilli, Marisa Carrasco, David J. Heeger, Justin L. Gardner 
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex  Hesheng Liu, Yigal Agam, Joseph.
Volume 76, Issue 4, Pages (November 2012)
Ethan S. Bromberg-Martin, Okihide Hikosaka  Neuron 
Dual Dopaminergic Regulation of Corticostriatal Plasticity by Cholinergic Interneurons and Indirect Pathway Medium Spiny Neurons  Shana M. Augustin, Jessica.
Masayuki Matsumoto, Masahiko Takada  Neuron 
Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum  John P. O'Doherty, Tony W.
Arielle Tambini, Nicholas Ketz, Lila Davachi  Neuron 
Dopamine-Dependent Interactions between Limbic and Prefrontal Cortical Plasticity in the Nucleus Accumbens: Disruption by Cocaine Sensitization  Yukiori.
Karen M. Crosby, Wataru Inoue, Quentin J. Pittman, Jaideep S. Bains 
Antagonistic but Not Symmetric Regulation of Primary Motor Cortex by Basal Ganglia Direct and Indirect Pathways  Ian A. Oldenburg, Bernardo L. Sabatini 
Activation of VTA GABA Neurons Disrupts Reward Consumption
Volume 20, Issue 2, Pages (July 2017)
Synaptic Mechanisms of Forward Suppression in Rat Auditory Cortex
Caroline A. Montojo, Susan M. Courtney  Neuron 
Anubhuti Goel, Dean V. Buonomano  Neuron 
Volume 75, Issue 1, Pages (July 2012)
Volume 15, Issue 2, Pages (April 2016)
Speed-Accuracy Tradeoff in Olfaction
Presentation transcript:

Volume 73, Issue 2, Pages 360-373 (January 2012) Endocannabinoids Shape Accumbal Encoding of Cue-Motivated Behavior via CB1 Receptor Activation in the Ventral Tegmentum  Erik B. Oleson, Michael V. Beckert, Joshua T. Morra, Carien S. Lansink, Roger Cachope, Rehab A. Abdullah, Amy L. Loriaux, Dustin Schetters, Tommy Pattij, Mitchell F. Roitman, Aron H. Lichtman, Joseph F. Cheer  Neuron  Volume 73, Issue 2, Pages 360-373 (January 2012) DOI: 10.1016/j.neuron.2011.11.018 Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 1 Reward Seeking and Cue-Evoked Dopamine Release Events Are Strengthened across Trials (A) Pavlovian associations sculpt patterns of transient dopamine release in response to a predictive cue during reward seeking. A representative surface-plot shows changes in dopamine concentration (z axis) occurring across trials (y axis) while responding is maintained by brain stimulation reward in an ICSS task. Cue presentation, which is indicated by the gray rectangle, occurred for 1 s prior to lever extension. (B) Representative traces show the mean cue-evoked dopamine concentration increasing across trials. Each dopamine concentration trace represents the mean of 30 consecutive trials. (C and D) The conditioned cue begins to strengthen reward seeking as the concentration of cue-evoked dopamine increases across trials. Linear regression analyses show increases in mean dopamine concentration and decreases in response latency across binned responses. Dashed lines represent the 95% confidence region. Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 2 Disrupting Endocannabinoid Signaling Decreases Cue-Evoked Dopamine Concentrations during Reward Seeking in an ICSS Task (A) Response latency (a metric of reward seeking) for brain stimulation reward maintained in the ICSS task. A high (0.3 mg/kg i.v.; red bar) but not low (0.125 mg/kg i.v.; orange bar) dose of rimonabant increased the latency to respond for brain stimulation reward in comparison to vehicle (v, blue bar). (B) Mean dopamine concentration observed during the first second of cue presentation under baseline (b), vehicle (v), and drug conditions. Rimonabant at a high (0.3 mg/kg i.v.; red bar) but not low (0.125 mg/kg i.v.; orange bar) dose decreased the concentration of cue-evoked dopamine in comparison to vehicle. (C) Representative color plots (top) and dopamine concentration traces (bottom) show the effects of rimonabant on cue-evoked dopamine events in individual trials. Top: Representative color plots topographically depict the voltammetric data with time on the x axis, applied scan potential (Eapp) on the y axis and background-subtracted faradaic current shown on the z-axis in pseudocolor. Dopamine can be identified by an oxidation peak (green) at +0.6 V and a smaller reduction peak (yellow) at −0.2 V. Bottom: Corresponding traces show the concentration of dopamine (nM) detected at the time of cue presentation (gray bar) following vehicle (left; blue trace) and rimonabant (right; red trace) administration. (D) A representative surface-plot shows changes in dopamine concentration (z axis) across trials (y axis) during baseline (black line), vehicle (blue line), and rimonabant (red line) conditions. Data are centered around lever presentation on the x axis. (E) Disrupting endocannabinoid signaling within the VTA is sufficient to decrease reward seeking. Intrategmental rimonabant (200 ng i.c.; red bar) significantly increased response latency in comparison to vehicle (v, blue bar). (F) Mean dopamine concentrations observed during first second of cue-presentation under baseline (b), vehicle (v), and drug conditions. Intrategmental rimonabant (200 ng i.c.; red bar) significantly decreased the concentration of cue-evoked dopamine in comparison to vehicle. (G) Representative dopamine concentration traces from individual trials after vehicle (left; blue trace) and rimonabant (200 ng i.c.; right; red trace) treatment. Traces represent individual data, bars represent mean values, and error bars represent ± SEM. A significant difference versus vehicle is indicated by either ∗ (p < 0.01) or # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 3 Disrupting Endocannabinoid Signaling Decreases Cue-Evoked Dopamine Neurotransmission during Appetitive Food Seeking (A) Disrupting endocannabinoid signaling reduced reward seeking in a cued food self-administration task. Rimonabant dose-dependently (0.125 mg/kg i.v., orange bar; 0.3 mg/kg i.v., red bar) increased the latency to respond for food reinforcement in comparison to vehicle (v, blue bar). (B) Disrupting endocannabinoid transmission in the VTA specifically decreased appetitive rather than consummatory feeding behavior. Systemically (left, red bar), but not intrategmentally (right, red bar) administered CB1 receptor antagonists decreased intraoral intake of a chocolate Ensure solution in comparison to vehicle (v, blue bar), demonstrating that the VTA endocannabinoid system does not affect an animal's preferred meal size. (C) Diminished appetitive food seeking is accompanied by a decrease in mean dopamine concentration observed during the first second of cue-presentation following rimonabant (0.3 mg/kg i.v., red bar) treatment. (D) Representative color plots (top) and dopamine concentration traces (bottom) show the effects of rimonabant (right, red trace) in comparison to vehicle (left, blue trace) during individual trials. (E) A representative surface plot illustrates changes in dopamine concentration across trials (y axis) under baseline (black line), vehicle (blue line) and rimonabant (red line) conditions. (F) Disrupting endocannabinoid neurotransmission in the VTA is sufficient to decrease appetitive food seeking. Intrategmental rimonabant (200 ng i.c.; red bar) significantly increased response latency in comparison to vehicle (v, blue bar). (G) Rimonabant (200 ng i.c.; red bar) simultaneously decreased the mean cue-evoked dopamine concentration in comparison to vehicle treatment. (H) Representative traces illustrate that intrategmental rimonabant (200ng i.c., right, red trace) decreased the concentration of cue-evoked dopamine in an individual trial in comparison to vehicle treatment (left, blue trace). Traces represent individual data, bars represent mean values, and error bars represent ± SEM. A significant difference versus vehicle is indicated by either ∗ (p < 0.01) or # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 4 Disrupting Endocannabinoid Signaling Decreases Reward Seeking under Experimental Conditions that Do Not Recruit Neural Mechanisms of Interval Timing (A) Transient dopamine concentrations increase during the anticipation of reward under conditions in which cue presentation is predictable (e.g., fixed timeout [FTO] = 10 s) but not under conditions in which cue presentations occur variably (variable timeouts [VTO] = 30 s). Representative mean (average of 30 trials/condition) color plots (top) and corresponding dopamine concentration traces (bottom) illustrate changes in dopamine concentration occurring prior to cue presentation from the same animal responding for brain stimulation reward under FTO (left) then VTO (right) conditions. Middle inset shows a magnification of the color plots showing dopamine concentration increases occurring prior to cue presentation. (B) The mean latency to respond for brain stimulation reward was significantly greater under VTO (light blue bar) in comparison to FTO (dark blue bar) conditions. (C) The mean dopamine concentration occurring during the first second of cue-presentation was significantly decreased under VTO in comparison the FTO conditions. (D) Under VTO conditions, rimonabant (0.3 mg/kg i.v., red bar) significantly increased the latency to respond for brain stimulation reward in comparison to vehicle (v, blue bar). Traces and bars represent mean values while error bars represent ± SEM. A significant difference versus vehicle is indicated by either ∗ (p < 0.01) or # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 5 The Putative Endocannabinoid Uptake Inhibitor VDM11 Decreases Dopamine Mechanisms of Reward Seeking in a Manner that Is Consistent with Indirect CB1 Receptor Antagonism (A) VDM11 dose-dependently (300–560 μg/kg i.v., cumulative) increased the latency to respond for brain stimulation reward in the ICSS-VTO task in comparison to vehicle (v). (B) Dopamine concentration observed during the first second of cue presentation in the ICSS-VTO task under baseline (b), vehicle (v), or drug (VDM11 300–560 μg/kg i.v., cumulative) conditions. VDM11 dose-dependently decreased the mean concentration of cue-evoked dopamine. (C) Representative color plots (top) and dopamine concentration traces (bottom) show the effects of VDM11 (560 μg/kg i.v., right, light blue line) and vehicle (left, dark blue line) during individual trials of the ICSS-VTO task. Dopamine traces represent individual data, bars represent mean values and error bars represent ± SEM. A significant difference versus vehicle is indicated by # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 6 Electrically Evoked, but Not Cue-Evoked, Dopamine Concentrations Are Partially Depleted during ICSS Sessions (A) Electrically (light green) and cue (dark green)-evoked dopamine concentrations across binned responses. Animals are responding for brain stimulation reward in the ICSS-VTO task during repeated vehicle (1:1:18, v, blue arrow) treatments. Under these conditions, cue-evoked dopamine concentrations initially increased to maximum and then remained stable throughout the duration of the session. Conversely, electrically evoked dopamine concentrations decreased linearly across the duration of the session. (B) Corresponding response latency values. The latency to respond for brain stimulation reward initially decreased to minimum and then remained stable throughout the duration of the session. (C) Representative mean color plots (top) and corresponding dopamine concentration traces (bottom) illustrate changes in dopamine concentration occurring across binned responses. Nonlinear regression functions show best-fit data trends. Data points and dopamine traces represent mean data, and error bars represent ± SEM. Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 7 The Endocannabinoid 2AG, but Not Anandamide, Facilitates Reward Seeking (A) The effects of JZL184 (decreases degradation of 2AG) or URB597 (decreases degradation of anandamide) on break points for food reinforcement maintained under a progressive ratio schedule. Left: In mice, JZL184 (40 mg/kg i.p., purple bar) increased break points for food reinforcement in comparison to vehicle (v, green bar). Pretreatment with a subthreshold dose of AM251 (0.75 mg/kg i.p.) prevented the JZL184-induced increase in break point. Middle: In rats, JZL184 (10 mg/kg i.v.) produced a significant increase in mean final ratio when compared to vehicle. Right: In rats, URB597 (56 μg/kg i.v., yellow bar) failed to increase the break points for food. (B and C) JZL184 (3–10 mg/kg i.v. cumulative) but not URB597 (10–56 μg/kg i.v., cumulative) decreased response latency for brain stimulation reward in the ICSS-VTO task in rats. (D) Topographic plot showing core temperature of rats (z axis) over time (y axis) under baseline (b), vehicle (v), and JZL184 (5.6 then 10 mg/kg i.v. cumulative) conditions. (E) JZL184 (10 mg/kg i.v., purple bar) treated rats showed a significant increase in 2AG VTA tissue content in comparison to vehicle treated rats. Tissue samples were collected immediately after ICSS-VTO sessions. Bars represent mean ± SEM values. A significant difference versus vehicle is indicated by either ∗ (p < 0.01) or # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions

Figure 8 The Endocannabinoid 2AG Facilitates Dopaminergic Mechanisms of Reward Seeking (A) Augmenting 2AG levels facilitated reward seeking in the ICSS-VTO task. JZL184 (10 mg/kg i.v., purple bar) decreased response latency in comparison to vehicle (v, blue bar). (B) Facilitated reward seeking was accompanied by an increase in cue-evoked dopamine concentration. (C) Representative color plots (top) and dopamine concentration traces (bottom) show the effects of JZL184 (right, purple trace) in comparison to vehicle (left, green trace) during individual trials. (D) A representative surface plot illustrates changes in dopamine concentration across trials (y axis) under baseline (black line), vehicle (green line), and rimonabant (purple line) conditions. (E) Augmenting 2AG in the VTA is sufficient to facilitate reward seeking. JZL184 (6 μg, ipsilateral, purple bar) decreased response latency in comparison to DMSO (green bar). Posttreatment with a subthreshold dose of rimonabant (1.25 mg/kg i.v.) reversed the JZL84-induced decrease in reward latency. (F) Facilitated reward seeking occurred simultaneously with an increase in cue-evoked dopamine concentration in comparison to vehicle. (G) Representative traces show the effects of intrategmental vehicle (left, green trace) and JZL184 (right, purple trace) on cue-evoked dopamine concentration in individual trials. Traces represent individual data, bars represent mean values, and error bars represent ± SEM. A significant difference versus vehicle is indicated by either ∗ (p < 0.01) or # (p < 0.05). Neuron 2012 73, 360-373DOI: (10.1016/j.neuron.2011.11.018) Copyright © 2012 Elsevier Inc. Terms and Conditions