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Knapp CP, Papadopoulos E, Loweth JA, Raghupathi R, Floresco SB, Waterhouse BD, Navarra RL. Sex-dependent perturbations in risky choice behavior and prefrontal tyrosine hydroxylase levels induced by repetitive mild traumatic brain injury. Behav Brain Res 2025; 476:115244. [PMID: 39241835 DOI: 10.1016/j.bbr.2024.115244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 08/30/2024] [Accepted: 09/03/2024] [Indexed: 09/09/2024]
Abstract
Head trauma often impairs cognitive processes mediated within the prefrontal cortex (PFC), leading to impaired decision making and risk-taking behavior. Mild traumatic brain injury (mTBI) accounts for approximately 80 % of reported head injury cases. Most neurological symptoms of a single mTBI are transient; however, growing evidence suggests that repeated mTBI (rmTBI) results in more severe impairments that worsen with each subsequent injury. Although mTBI-induced disruption of risk/reward decision making has been characterized, the potential for rmTBI to exacerbate these effects and the neural mechanisms involved are unknown. Catecholamine neurotransmitters, dopamine (DA) and norepinephrine (NE), modulate PFC-mediated functions. Imbalances in catecholamine function have been associated with TBI and may underlie aberrant decision making. We used a closed head-controlled cortical impact (CH-CCI) model in rats to evaluate the effects of rmTBI on performance of a probabilistic discounting task of risk/reward decision making behavior and expression levels of catecholamine regulatory proteins within the PFC. RmTBI produced transient increases in risky choice preference in both male and female rats, with these effects persisting longer in females. Additionally, rmTBI increased expression of the catecholamine synthetic enzyme, tyrosine hydroxylase (TH), within the orbitofrontal (OFC) region of the PFC in females only. These results suggest females are more susceptible to rmTBI-induced disruption of risk/reward decision making behavior and dysregulation of catecholamine synthesis within the OFC. Together, using the CH-CCI model of rodent rmTBI to evaluate the effects of multiple insults on risk-taking behavior and PFC catecholamine regulation begins to differentiate how mTBI occurrences affect neuropathological outcomes across different sexes.
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Affiliation(s)
- Christopher P Knapp
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Translational Biomedical Engineering and Sciences, 42 East Laurel Road, Suite 2200, Stratford, NJ 08084, USA.
| | - Eleni Papadopoulos
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Translational Biomedical Engineering and Sciences, 42 East Laurel Road, Suite 2200, Stratford, NJ 08084, USA.
| | - Jessica A Loweth
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Translational Biomedical Engineering and Sciences, 42 East Laurel Road, Suite 2200, Stratford, NJ 08084, USA.
| | - Ramesh Raghupathi
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, 2900 W. Queen Lane, Philadelphia, PA 19129, USA.
| | - Stan B Floresco
- Department of Psychology and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2136 West Mall, Vancouver, BC V6T 1Z4, Canada.
| | - Barry D Waterhouse
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Translational Biomedical Engineering and Sciences, 42 East Laurel Road, Suite 2200, Stratford, NJ 08084, USA.
| | - Rachel L Navarra
- Department of Cell Biology and Neuroscience, Rowan-Virtua School of Translational Biomedical Engineering and Sciences, 42 East Laurel Road, Suite 2200, Stratford, NJ 08084, USA.
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Martinez MX, Alizo Vera V, Ruiz CM, Floresco SB, Mahler SV. Adolescent THC impacts on mPFC dopamine-mediated cognitive processes in male and female rats. Psychopharmacology (Berl) 2024:10.1007/s00213-024-06676-9. [PMID: 39190156 DOI: 10.1007/s00213-024-06676-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/17/2024] [Indexed: 08/28/2024]
Abstract
RATIONALE Adolescent cannabis use is linked to later-life changes in cognition, learning, and memory. Rodent experimental studies suggest Δ9-tetrahydrocannabinol (THC) influences development of circuits underlying these processes, especially in the prefrontal cortex, which matures during adolescence. OBJECTIVE We determined how 14 daily THC injections (5 mg/kg) during adolescence persistently impacts medial prefrontal cortex (mPFC) dopamine-dependent cognition. METHODS In adult Long Evans rats treated as adolescents with THC (AdoTHC), we quantify performance on two mPFC dopamine-dependent reward-based tasks-strategy set shifting and probabilistic discounting. We also determined how acute dopamine augmentation with amphetamine (0, 0.25, 0.5 mg/kg), or specific chemogenetic stimulation of ventral tegmental area (VTA) dopamine neurons and their projections to mPFC impact probabilistic discounting. RESULTS AdoTHC sex-dependently impacts acquisition of cue-guided instrumental reward seeking, but has minimal effects on set-shifting or probabilistic discounting in either sex. When we challenged dopamine circuits acutely with amphetamine during probabilistic discounting, we found reduced discounting of improbable reward options, with AdoTHC rats being more sensitive to these effects than controls. In contrast, neither acute chemogenetic stimulation of VTA dopamine neurons nor pathway-specific chemogenetic stimulation of their projection to mPFC impacted probabilistic discounting in control rats, although stimulation of this cortical dopamine projection slightly disrupted choices in AdoTHC rats. CONCLUSIONS These studies confirm a marked specificity in the cognitive processes impacted by AdoTHC exposure. They also suggest that some persistent AdoTHC effects may alter amphetamine-induced cognitive changes in a manner independent of VTA dopamine neurons or their projections to mPFC.
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Affiliation(s)
- Maricela X Martinez
- Department of Neurobiology and Behavior, University of California, 1132 McGaugh Hall, Irvine, CA, 92697, USA.
| | - Vanessa Alizo Vera
- Department of Neurobiology and Behavior, University of California, 1132 McGaugh Hall, Irvine, CA, 92697, USA
| | - Christina M Ruiz
- Department of Neurobiology and Behavior, University of California, 1132 McGaugh Hall, Irvine, CA, 92697, USA
| | - Stan B Floresco
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Stephen V Mahler
- Department of Neurobiology and Behavior, University of California, 1132 McGaugh Hall, Irvine, CA, 92697, USA.
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Martinez MX, Alizo Vera V, Ruiz CM, Floresco SB, Mahler SV. Adolescent THC impacts on mPFC dopamine-mediated cognitive processes in male and female rats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.12.588937. [PMID: 38826339 PMCID: PMC11142049 DOI: 10.1101/2024.04.12.588937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Rationale Adolescent cannabis use is linked to later-life changes in cognition, learning, and memory. Rodent experimental studies suggest Δ9-tetrahydrocannabinol (THC) influences development of circuits underlying these processes, especially in the prefrontal cortex, which matures during adolescence. Objective We determined how 14 daily THC injections (5mg/kg) during adolescence persistently impacts medial prefrontal cortex (mPFC) dopamine-dependent cognition. Methods In adult Long Evans rats treated as adolescents with THC (AdoTHC), we quantify performance on two mPFC dopamine-dependent reward-based tasks-strategy set shifting and probabilistic discounting. We also determined how acute dopamine augmentation with amphetamine (0, 0.25, 0.5 mg/kg), or specific chemogenetic stimulation of ventral tegmental area (VTA) dopamine neurons and their projections to mPFC impacts probabilistic discounting. Results AdoTHC sex-dependently impacts acquisition of cue-guided instrumental reward seeking, but has minimal effects on set-shifting or probabilistic discounting in either sex. When we challenged dopamine circuits acutely with amphetamine during probabilistic discounting, we found reduced discounting of improbable reward options, with AdoTHC rats being more sensitive to these effects than controls. In contrast, neither acute chemogenetic stimulation of VTA dopamine neurons nor pathway-specific chemogenetic stimulation of their projection to mPFC impacted probabilistic discounting in control rats, although stimulation of this cortical dopamine projection slightly disrupted choices in AdoTHC rats. Conclusions These studies confirm a marked specificity in the cognitive processes impacted by AdoTHC exposure. They also suggest that some persistent AdoTHC effects may alter amphetamine-induced cognitive changes in a manner independent of VTA dopamine neurons or their projections to mPFC.
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Affiliation(s)
- Maricela X. Martinez
- Department of Neurobiology and Behavior, University of California, Irvine. 2221 McGaugh Hall. Irvine, CA 92697
| | - Vanessa Alizo Vera
- Department of Neurobiology and Behavior, University of California, Irvine. 2221 McGaugh Hall. Irvine, CA 92697
| | - Christina M. Ruiz
- Department of Neurobiology and Behavior, University of California, Irvine. 2221 McGaugh Hall. Irvine, CA 92697
| | - Stan B. Floresco
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Stephen V. Mahler
- Department of Neurobiology and Behavior, University of California, Irvine. 2221 McGaugh Hall. Irvine, CA 92697
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Ibáñez Alcalá RJ, Beck DW, Salcido AA, Davila LD, Giri A, Heaton CN, Villarreal Rodriguez K, Rakocevic LI, Hossain SB, Reyes NF, Batson SA, Macias AY, Drammis SM, Negishi K, Zhang Q, Umashankar Beck S, Vara P, Joshi A, Franco AJ, Hernandez Carbajal BJ, Ordonez MM, Ramirez FY, Lopez JD, Lozano N, Ramirez A, Legaspy L, Cruz PL, Armenta AA, Viel SN, Aguirre JI, Quintanar O, Medina F, Ordonez PM, Munoz AE, Martínez Gaudier GE, Naime GM, Powers RE, O'Dell LE, Moschak TM, Goosens KA, Friedman A. RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making. Commun Biol 2024; 7:822. [PMID: 38971889 PMCID: PMC11227549 DOI: 10.1038/s42003-024-06489-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 06/21/2024] [Indexed: 07/08/2024] Open
Abstract
Translational studies benefit from experimental designs where laboratory organisms use human-relevant behaviors. One such behavior is decision-making, however studying complex decision-making in rodents is labor-intensive and typically restricted to two levels of cost/reward. We design a fully automated, inexpensive, high-throughput framework to study decision-making across multiple levels of rewards and costs: the REward-COst in Rodent Decision-making (RECORD) system. RECORD integrates three components: 1) 3D-printed arenas, 2) custom electronic hardware, and 3) software. We validated four behavioral protocols without employing any food or water restriction, highlighting the versatility of our system. RECORD data exposes heterogeneity in decision-making both within and across individuals that is quantifiably constrained. Using oxycodone self-administration and alcohol-consumption as test cases, we reveal how analytic approaches that incorporate behavioral heterogeneity are sensitive to detecting perturbations in decision-making. RECORD is a powerful approach to studying decision-making in rodents, with features that facilitate translational studies of decision-making in psychiatric disorders.
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Affiliation(s)
| | - Dirk W Beck
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Alexis A Salcido
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Luis D Davila
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Atanu Giri
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Cory N Heaton
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Lara I Rakocevic
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Safa B Hossain
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Neftali F Reyes
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Serina A Batson
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Andrea Y Macias
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Sabrina M Drammis
- Artificial Intelligence Laboratory, Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Qingyang Zhang
- Department of Biomedical Informatics, Harvard Medical School, Cambridge, MA, USA
| | | | - Paulina Vara
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Arnav Joshi
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Austin J Franco
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Miguel M Ordonez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Felix Y Ramirez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Jonathan D Lopez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Nayeli Lozano
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Abigail Ramirez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Linnete Legaspy
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Paulina L Cruz
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Abril A Armenta
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Stephanie N Viel
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Jessica I Aguirre
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Odalys Quintanar
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Fernanda Medina
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Pablo M Ordonez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Alfonzo E Munoz
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Gabriela M Naime
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Rosalie E Powers
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Laura E O'Dell
- Department of Psychology, University of Texas at El Paso, El Paso, TX, USA
| | - Travis M Moschak
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Ki A Goosens
- Department of Psychiatry, Center for Translational Medicine and Pharmacology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Alexander Friedman
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
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Gore F, Hernandez M, Ramakrishnan C, Crow AK, Malenka RC, Deisseroth K. Orbitofrontal cortex control of striatum leads economic decision-making. Nat Neurosci 2023; 26:1566-1574. [PMID: 37592039 PMCID: PMC10471500 DOI: 10.1038/s41593-023-01409-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 07/17/2023] [Indexed: 08/19/2023]
Abstract
Animals must continually evaluate stimuli in their environment to decide which opportunities to pursue, and in many cases these decisions can be understood in fundamentally economic terms. Although several brain regions have been individually implicated in these processes, the brain-wide mechanisms relating these regions in decision-making are unclear. Using an economic decision-making task adapted for rats, we find that neural activity in both of two connected brain regions, the ventrolateral orbitofrontal cortex (OFC) and the dorsomedial striatum (DMS), was required for economic decision-making. Relevant neural activity in both brain regions was strikingly similar, dominated by the spatial features of the decision-making process. However, the neural encoding of choice direction in OFC preceded that of DMS, and this temporal relationship was strongly correlated with choice accuracy. Furthermore, activity specifically in the OFC projection to the DMS was required for appropriate economic decision-making. These results demonstrate that choice information in the OFC is relayed to the DMS to lead accurate economic decision-making.
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Affiliation(s)
- Felicity Gore
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Melissa Hernandez
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Ailey K Crow
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Robert C Malenka
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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Yang M, Fu Q, Ma C, Li B. Prefrontal Dopaminergic Regulation of Cue-Guided Risky Decision-Making Performance in Rats. Front Behav Neurosci 2022; 16:934834. [PMID: 35898651 PMCID: PMC9309612 DOI: 10.3389/fnbeh.2022.934834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Risky decision-making is the decision made by individuals when they know the probability of each outcome. In order to survive in unpredictable environments, it is necessary for individuals to assess the probability of events occurring to an make appropriate decisions. There are few studies on the neural basis of risky decision-making behavior guided by external cues, which is related to the relative paucity of animal behavioral paradigms. Previous studies have shown that the prefrontal cortex (PFC) plays a key role in risk-based decision-making. The PFC receives projections from the dopamine (DA) system from the ventral tegmental area of the midbrain. The mesocorticolimbic DA system regulates the judgments of reward and value in decision-making. However, the specific receptor mechanism for prefrontal DA regulation of cue-guided risky decision-making behavior remains unclear. Here we established a cue-guided risky decision-making behavioral paradigm (RDM task) to detect the behavior of rats making decisions between a small certain reward and a large uncertain reward in a self-paced manner. The D1 receptor antagonist SCH-23390 (5 mM) or agonist SKF-82958 (5 mM), and the D2 receptor antagonist thioridazine hydrochloride (5 mM) or agonist MLS-1547 (5 mM) was injected into the mPFC, respectively, to investigate how the behavior in the RDM task was changed. The results showed that: (1) rats were able to master the operation of the cue-guided RDM task in a self-paced way; (2) a majority of rats were inclined to choose risk rather than a safe option when the reward expectations were equal; and (3) risk selection was reduced upon inhibition of D1 receptors or stimulation of D2 receptors, but increased upon stimulation of D1 receptors or inhibition of D2 receptors, suggesting that the RDM performance is regulated by D1 and D2 receptors in the mPFC. The present results suggest that DA receptors in the mPFC of rats are involved in regulating cue-guided RDM behavior, with differential involvement of D1 and D2 receptors in the regulation.
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Affiliation(s)
- Minzhe Yang
- School of Life Science and Institute of Life Science, Nanchang University, Nanchang, China
| | - Qiangpei Fu
- School of Life Science and Institute of Life Science, Nanchang University, Nanchang, China
| | - Chaolin Ma
- School of Life Science and Institute of Life Science, Nanchang University, Nanchang, China
| | - Baoming Li
- School of Life Science and Institute of Life Science, Nanchang University, Nanchang, China
- School of Basic Medical Sciences and Institute of Brain Science, Hangzhou Normal University, Hangzhou, China
- *Correspondence: Baoming Li,
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Poisson CL, Engel L, Saunders BT. Dopamine Circuit Mechanisms of Addiction-Like Behaviors. Front Neural Circuits 2021; 15:752420. [PMID: 34858143 PMCID: PMC8631198 DOI: 10.3389/fncir.2021.752420] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/08/2021] [Indexed: 12/16/2022] Open
Abstract
Addiction is a complex disease that impacts millions of people around the world. Clinically, addiction is formalized as substance use disorder (SUD), with three primary symptom categories: exaggerated substance use, social or lifestyle impairment, and risky substance use. Considerable efforts have been made to model features of these criteria in non-human animal research subjects, for insight into the underlying neurobiological mechanisms. Here we review evidence from rodent models of SUD-inspired criteria, focusing on the role of the striatal dopamine system. We identify distinct mesostriatal and nigrostriatal dopamine circuit functions in behavioral outcomes that are relevant to addictions and SUDs. This work suggests that striatal dopamine is essential for not only positive symptom features of SUDs, such as elevated intake and craving, but also for impairments in decision making that underlie compulsive behavior, reduced sociality, and risk taking. Understanding the functional heterogeneity of the dopamine system and related networks can offer insight into this complex symptomatology and may lead to more targeted treatments.
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Affiliation(s)
- Carli L. Poisson
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
- Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN, United States
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, United States
| | - Liv Engel
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
- Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN, United States
| | - Benjamin T. Saunders
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
- Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN, United States
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, United States
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