سامانه پاداش مغز (Persian Wikipedia)

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  • «پورنوگرافی با اندازه مغز چه ارتباطی دارد؟». بی‌بی‌سی فارسی. ۸ ژوئن ۲۰۱۴. دریافت‌شده در ۶ آوریل ۲۰۱۸.

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  • Berridge KC, Kringelbach ML (May 2015). "Pleasure systems in the brain". Neuron. 86 (3): 646–664. doi:10.1016/j.neuron.2015.02.018. PMC 4425246. PMID 25950633. In the prefrontal cortex, recent evidence indicates that the [orbitofrontal cortex] OFC and insula cortex may each contain their own additional hot spots (D.C. Castro et al. , Soc. Neurosci. , abstract). In specific subregions of each area, either opioid-stimulating or orexin-stimulating microinjections appear to enhance the number of liking reactions elicited by sweetness, similar to the [nucleus accumbens] NAc and [ventral pallidum] VP hot spots. Successful confirmation of hedonic hot spots in the OFC or insula would be important and possibly relevant to the orbitofrontal mid-anterior site mentioned earlier that especially tracks the subjective pleasure of foods in humans (Georgiadis et al. , 2012; Kringelbach, 2005; Kringelbach et al. , 2003; Small et al. , 2001; Veldhuizen et al. , 2010). Finally, in the brainstem, a hindbrain site near the parabrachial nucleus of dorsal pons also appears able to contribute to hedonic gains of function (Söderpalm and Berridge, 2000). A brainstem mechanism for pleasure may seem more surprising than forebrain hot spots to anyone who views the brainstem as merely reflexive, but the pontine parabrachial nucleus contributes to taste, pain, and many visceral sensations from the body and has also been suggested to play an important role in motivation (Wu et al. , 2012) and in human emotion (especially related to the somatic marker hypothesis) (Damasio, 2010).
  • Schultz W (2015). "Neuronal reward and decision signals: from theories to data". Physiological Reviews. 95 (3): 853–951. doi:10.1152/physrev.00023.2014. PMC 4491543. PMID 26109341. Rewards in operant conditioning are positive reinforcers.  ... Operant behavior gives a good definition for rewards. Anything that makes an individual come back for more is a positive reinforcer and therefore a reward. Although it provides a good definition, positive reinforcement is only one of several reward functions.  ... Rewards are attractive. They are motivating and make us exert an effort.  ... Rewards induce approach behavior, also called appetitive or preparatory behavior, and consummatory behavior.  ... Thus any stimulus, object, event, activity, or situation that has the potential to make us approach and consume it is by definition a reward.  ... Rewarding stimuli, objects, events, situations, and activities consist of several major components. First, rewards have basic sensory components (visual, auditory, somatosensory, gustatory, and olfactory) ... Second, rewards are salient and thus elicit attention, which are manifested as orienting responses (FIGURE 1, middle). The salience of rewards derives from three principal factors, namely, their physical intensity and impact (physical salience), their novelty and surprise (novelty/surprise salience), and their general motivational impact shared with punishers (motivational salience). A separate form not included in this scheme, incentive salience, primarily addresses dopamine function in addiction and refers only to approach behavior (as opposed to learning) ... Third, rewards have a value component that determines the positively motivating effects of rewards and is not contained in, nor explained by, the sensory and attentional components (FIGURE 1, right). This component reflects behavioral preferences and thus is subjective and only partially determined by physical parameters. Only this component constitutes what we understand as a reward. It mediates the specific behavioral reinforcing, approach generating, and emotional effects of rewards that are crucial for the organism’s survival and reproduction, whereas all other components are only supportive of these functions.  ... Rewards can also be intrinsic to behavior (31, 546, 547). They contrast with extrinsic rewards that provide motivation for behavior and constitute the essence of operant behavior in laboratory tests. Intrinsic rewards are activities that are pleasurable on their own and are undertaken for their own sake, without being the means for getting extrinsic rewards.  ... Intrinsic rewards are genuine rewards in their own right, as they induce learning, approach, and pleasure, like perfectioning, playing, and enjoying the piano. Although they can serve to condition higher order rewards, they are not conditioned, higher order rewards, as attaining their reward properties does not require pairing with an unconditioned reward.  ... These emotions are also called liking (for pleasure) and wanting (for desire) in addiction research (471) and strongly support the learning and approach generating functions of reward.
  • Duarte, Isabel C.; Afonso, Sónia; Jorge, Helena; Cayolla, Ricardo; Ferreira, Carlos; Castelo-Branco, Miguel (1 May 2017). "Tribal love: the neural correlates of passionate engagement in football fans". Social Cognitive and Affective Neuroscience (به انگلیسی). 12 (5): 718–728. doi:10.1093/scan/nsx003. ISSN 1749-5016. PMC 5460049. PMID 28338882.
  • Yager LM, Garcia AF, Wunsch AM, Ferguson SM (August 2015). "The ins and outs of the striatum: Role in drug addiction". Neuroscience. 301: 529–541. doi:10.1016/j.neuroscience.2015.06.033. PMC 4523218. PMID 26116518. [The striatum] receives dopaminergic inputs from the ventral tegmental area (VTA) and the substantia nigra (SNr) and glutamatergic inputs from several areas, including the cortex, hippocampus, amygdala, and thalamus (Swanson, 1982; Phillipson and Griffiths, 1985; Finch, 1996; Groenewegen et al. , 1999; Britt et al. , 2012). These glutamatergic inputs make contact on the heads of dendritic spines of the striatal GABAergic medium spiny projection neurons (MSNs) whereas dopaminergic inputs synapse onto the spine neck, allowing for an important and complex interaction between these two inputs in modulation of MSN activity ... It should also be noted that there is a small population of neurons in the [nucleus accumbens] NAc that coexpress both D1 and D2 receptors, though this is largely restricted to the NAc shell (Bertran- Gonzalez et al. , 2008).  ... Neurons in the NAc core and NAc shell subdivisions also differ functionally. The NAc core is involved in the processing of conditioned stimuli whereas the NAc shell is more important in the processing of unconditioned stimuli; Classically, these two striatal MSN populations are thought to have opposing effects on basal ganglia output. Activation of the dMSNs causes a net excitation of the thalamus resulting in a positive cortical feedback loop; thereby acting as a 'go’ signal to initiate behavior. Activation of the iMSNs, however, causes a net inhibition of thalamic activity resulting in a negative cortical feedback loop and therefore serves as a 'brake’ to inhibit behavior ... there is also mounting evidence that iMSNs play a role in motivation and addiction (Lobo and Nestler, 2011; Grueter et al. , 2013). For example, optogenetic activation of NAc core and shell iMSNs suppressed the development of a cocaine CPP whereas selective ablation of NAc core and shell iMSNs ... enhanced the development and the persistence of an amphetamine CPP (Durieux et al. , 2009; Lobo et al. , 2010). These findings suggest that iMSNs can bidirectionally modulate drug reward.  ... Together these data suggest that iMSNs normally act to restrain drug-taking behavior and recruitment of these neurons may in fact be protective against the development of compulsive drug use.
  • Taylor SB, Lewis CR, Olive MF (2013). "The neurocircuitry of illicit psychostimulant addiction: acute and chronic effects in humans". Subst Abuse Rehabil. 4: 29–43. doi:10.2147/SAR.S39684. PMC 3931688. PMID 24648786. Regions of the basal ganglia, which include the dorsal and ventral striatum, internal and external segments of the globus pallidus, subthalamic nucleus, and dopaminergic cell bodies in the substantia nigra, are highly implicated not only in fine motor control but also in [prefrontal cortex] PFC function.43 Of these regions, the [nucleus accumbens] NAc (described above) and the [dorsal striatum] DS (described below) are most frequently examined with respect to addiction. Thus, only a brief description of the modulatory role of the basal ganglia in addiction-relevant circuits will be mentioned here. The overall output of the basal ganglia is predominantly via the thalamus, which then projects back to the PFC to form cortico-striatal-thalamo-cortical (CSTC) loops. Three CSTC loops are proposed to modulate executive function, action selection, and behavioral inhibition. In the dorsolateral prefrontal circuit, the basal ganglia primarily modulate the identification and selection of goals, including rewards.44 The [orbitofrontal cortex] OFC circuit modulates decision-making and impulsivity, and the anterior cingulate circuit modulates the assessment of consequences.44 These circuits are modulated by dopaminergic inputs from the [ventral tegmental area] VTA to ultimately guide behaviors relevant to addiction, including the persistence and narrowing of the behavioral repertoire toward drug seeking, and continued drug use despite negative consequences.43–45
  • Grall-Bronnec M, Sauvaget A (2014). "The use of repetitive transcranial magnetic stimulation for modulating craving and addictive behaviours: a critical literature review of efficacy, technical and methodological considerations". Neurosci. Biobehav. Rev. 47: 592–613. doi:10.1016/j.neubiorev.2014.10.013. PMID 25454360. Studies have shown that cravings are underpinned by activation of the reward and motivation circuits (McBride et al. , 2006, Wang et al. , 2007, Wing et al. , 2012, Goldman et al. , 2013, Jansen et al. , 2013 and Volkow et al. , 2013). According to these authors, the main neural structures involved are: the nucleus accumbens, dorsal striatum, orbitofrontal cortex, anterior cingulate cortex, dorsolateral prefrontal cortex (DLPFC), amygdala, hippocampus and insula.
  • Richard JM, Castro DC, Difeliceantonio AG, Robinson MJ, Berridge KC (November 2013). "Mapping brain circuits of reward and motivation: in the footsteps of Ann Kelley". Neurosci. Biobehav. Rev. 37 (9 Pt A): 1919–1931. doi:10.1016/j.neubiorev.2012.12.008. PMC 3706488. PMID 23261404.
    Figure 3: Neural circuits underlying motivated 'wanting' and hedonic 'liking'.
    {{cite journal}}: External link in |quote= (help)
  • Luo M, Zhou J, Liu Z (August 2015). "Reward processing by the dorsal raphe nucleus: 5-HT and beyond". Learn. Mem. 22 (9): 452–460. doi:10.1101/lm.037317.114. PMC 4561406. PMID 26286655.
  • Moulton EA, Elman I, Becerra LR, Goldstein RZ, Borsook D (May 2014). "The cerebellum and addiction: insights gained from neuroimaging research". Addict. Biol. 19 (3): 317–331. doi:10.1111/adb.12101. PMC 4031616. PMID 24851284.
  • Caligiore D, Pezzulo G, Baldassarre G, Bostan AC, Strick PL, Doya K, Helmich RC, Dirkx M, Houk J, Jörntell H, Lago-Rodriguez A, Galea JM, Miall RC, Popa T, Kishore A, Verschure PF, Zucca R, Herreros I (February 2017). "Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex". Cerebellum. 16 (1): 203–229. doi:10.1007/s12311-016-0763-3. PMC 5243918. PMID 26873754.
  • Ogawa, SK; Watabe-Uchida, M (2 May 2017). "Organization of dopamine and serotonin system: Anatomical and functional mapping of monosynaptic inputs using rabies virus". Pharmacology Biochemistry and Behavior. doi:10.1016/j.pbb.2017.05.001. PMID 28476484.
  • Morales, M; Margolis, EB (February 2017). "Ventral tegmental area: cellular heterogeneity, connectivity and behaviour". Nature Reviews. Neuroscience. 18 (2): 73–85. doi:10.1038/nrn.2016.165. PMID 28053327.
  • Lammel, S; Lim, BK; Malenka, RC (January 2014). "Reward and aversion in a heterogeneous midbrain dopamine system". Neuropharmacology. 76 Pt B: 351–9. doi:10.1016/j.neuropharm.2013.03.019. PMC 3778102. PMID 23578393.
  • Nieh, EH; Kim, SY; Namburi, P; Tye, KM (20 May 2013). "Optogenetic dissection of neural circuits underlying emotional valence and motivated behaviors". Brain Research. 1511: 73–92. doi:10.1016/j.brainres.2012.11.001. hdl:1721.1/92890. PMC 4099056. PMID 23142759.
  • Trantham-Davidson H, Neely LC, Lavin A, Seamans JK (2004). "Mechanisms underlying differential D1 versus D2 dopamine receptor regulation of inhibition in prefrontal cortex". The Journal of Neuroscience. 24 (47): 10652–10659. doi:10.1523/jneurosci.3179-04.2004. PMC 5509068. PMID 15564581.
  • You ZB, Chen YQ, Wise RA (2001). "Dopamine and glutamate release in the nucleus accumbens and ventral tegmental area of rat following lateral hypothalamic self-stimulation". Neuroscience. 107 (4): 629–639. doi:10.1016/s0306-4522(01)00379-7. PMID 11720786.
  • Castro, DC; Cole, SL; Berridge, KC (2015). "Lateral hypothalamus, nucleus accumbens, and ventral pallidum roles in eating and hunger: interactions between homeostatic and reward circuitry". Frontiers in Systems Neuroscience. 9: 90. doi:10.3389/fnsys.2015.00090. PMC 4466441. PMID 26124708.
  • Carlezon WA, Jr; Thomas, MJ (2009). "Biological substrates of reward and aversion: a nucleus accumbens activity hypothesis". Neuropharmacology. 56 Suppl 1: 122–32. doi:10.1016/j.neuropharm.2008.06.075. PMC 2635333. PMID 18675281.
  • Wise RA, Rompre PP (1989). "Brain dopamine and reward". Annual Review of Psychology. 40: 191–225. doi:10.1146/annurev.ps.40.020189.001203. PMID 2648975.
  • Wise RA (October 2002). "Brain reward circuitry: insights from unsensed incentives". Neuron. 36 (2): 229–240. doi:10.1016/S0896-6273(02)00965-0. PMID 12383779.
  • Berridge KC (April 2012). "From prediction error to incentive salience: mesolimbic computation of reward motivation". Eur. J. Neurosci. 35 (7): 1124–1143. doi:10.1111/j.1460-9568.2012.07990.x. PMC 3325516. PMID 22487042. Here I discuss how mesocorticolimbic mechanisms generate the motivation component of incentive salience. Incentive salience takes Pavlovian learning and memory as one input and as an equally important input takes neurobiological state factors (e.g. drug states, appetite states, satiety states) that can vary independently of learning. Neurobiological state changes can produce unlearned fluctuations or even reversals in the ability of a previously learned reward cue to trigger motivation. Such fluctuations in cue-triggered motivation can dramatically depart from all previously learned values about the associated reward outcome.  ... Associative learning and prediction are important contributors to motivation for rewards. Learning gives incentive value to arbitrary cues such as a Pavlovian conditioned stimulus (CS) that is associated with a reward (unconditioned stimulus or UCS). Learned cues for reward are often potent triggers of desires. For example, learned cues can trigger normal appetites in everyone, and can sometimes trigger compulsive urges and relapse in addicts.
    Cue-triggered 'wanting’ for the UCS
    A brief CS encounter (or brief UCS encounter) often primes a pulse of elevated motivation to obtain and consume more reward UCS. This is a signature feature of incentive salience.
    Cue as attractive motivational magnets
    When a Pavlovian CS+ is attributed with incentive salience it not only triggers 'wanting’ for its UCS, but often the cue itself becomes highly attractive – even to an irrational degree. This cue attraction is another signature feature of incentive salience ... Two recognizable features of incentive salience are often visible that can be used in neuroscience experiments: (i) UCS-directed 'wanting’ – CS-triggered pulses of intensified 'wanting’ for the UCS reward; and (ii) CS-directed 'wanting’ – motivated attraction to the Pavlovian cue, which makes the arbitrary CS stimulus into a motivational magnet.
  • Berridge KC, Kringelbach ML (1 June 2013). "Neuroscience of affect: brain mechanisms of pleasure and displeasure". Current Opinion in Neurobiology. 23 (3): 294–303. doi:10.1016/j.conb.2013.01.017. PMC 3644539. PMID 23375169. For instance, mesolimbic dopamine, probably the most popular brain neurotransmitter candidate for pleasure two decades ago, turns out not to cause pleasure or liking at all. Rather dopamine more selectively mediates a motivational process of incentive salience, which is a mechanism for wanting rewards but not for liking them .... Rather opioid stimulation has the special capacity to enhance liking only if the stimulation occurs within an anatomical hotspot
  • Soares-Cunha, C; Coimbra, B; Sousa, N; Rodrigues, AJ (September 2016). "Reappraising striatal D1- and D2-neurons in reward and aversion". Neuroscience and Biobehavioral Reviews. 68: 370–386. doi:10.1016/j.neubiorev.2016.05.021. PMID 27235078. Evidence strongly suggests that the canonical view of striatal D1R signalling as pro-reward/reinforcing and D2R signalling as pro-aversive is too simplistic. It is naïve to assume that D1R- and D2R-expressing neurons play completely independent (and con- trasting) roles.
  • Bamford, NS; Wightman, RM; Sulzer, D (7 February 2018). "Dopamine's Effects on Corticostriatal Synapses during Reward-Based Behaviors". Neuron. 97 (3): 494–510. doi:10.1016/j.neuron.2018.01.006. PMC 5808590. PMID 29420932. Soares-Cunha and coworkers showed that op- togenetic activation of D1R- or D2R-containing SPNs in dorsal striatum both enhance motivation in mice (Soares-Cunha et al. , 2016b). Consistent with this, optogenetic inhibition of D2R-con- taining neurons decreases motivation. This study, in agreement with the results obtained with microiontophoresis, suggests that D2R-containing SPNs play a more prominent role in promoting motivation than originally anticipated.
  • Soares-Cunha, C; Coimbra, B; David-Pereira, A; Borges, S; Pinto, L; Costa, P; Sousa, N; Rodrigues, AJ (23 June 2016). "Activation of D2 dopamine receptor-expressing neurons in the nucleus accumbens increases motivation". Nature Communications. 7: 11829. Bibcode:2016NatCo...711829S. doi:10.1038/ncomms11829. PMC 4931006. PMID 27337658.
  • Soares-Cunha, Carina; Coimbra, Bárbara; Domingues, Ana Verónica; Vasconcelos, Nivaldo; Sousa, Nuno; Rodrigues, Ana João (19 April 2018). "Nucleus Accumbens Microcircuit Underlying D2-MSN-Driven Increase in Motivation". eNeuro. 5 (2): ENEURO.0386–18.2018. doi:10.1523/ENEURO.0386-18.2018. PMC 5957524. PMID 29780881. Importantly, optogenetic activation of D2-MSN terminals in the VP was sufficient to recapitulate the motivation enhancement. In summary, our data suggests that optogenetic stimulation of NAc D2-MSNs indirectly modulates VTA dopaminergic activity, contributing for increased motivation.
  • Berridge KC, Kringelbach ML (2008). "Affective neuroscience of pleasure: reward in humans and animals" (PDF). Psychopharmacology. 199 (3): 457–480. doi:10.1007/s00213-008-1099-6. ISSN 0033-3158. PMC 3004012. PMID 18311558. Archived from the original (PDF) on 25 July 2012. Retrieved 20 October 2012.
  • Yin, HH; Ostlund, SB; Balleine, BW (October 2008). "Reward-guided learning beyond dopamine in the nucleus accumbens: the integrative functions of cortico-basal ganglia networks". The European Journal of Neuroscience. 28 (8): 1437–48. doi:10.1111/j.1460-9568.2008.06422.x. PMC 2756656. PMID 18793321.
  • Dayan, P; Berridge, KC (June 2014). "Model-based and model-free Pavlovian reward learning: revaluation, revision, and revelation". Cognitive, Affective & Behavioral Neuroscience. 14 (2): 473–92. doi:10.3758/s13415-014-0277-8. PMC 4074442. PMID 24647659.
  • Balleine, BW; Morris, RW; Leung, BK (2 December 2015). "Thalamocortical integration of instrumental learning and performance and their disintegration in addiction". Brain Research. 1628 (Pt A): 104–16. doi:10.1016/j.brainres.2014.12.023. PMID 25514336. Importantly, we found evidence of increased activity in the direct pathway; both intracellular changes in the expression of the plasticity marker pERK and AMPA/NMDA ratios evoked by stimulating cortical afferents were increased in the D1-direct pathway neurons. In contrast, D2 neurons showed an opposing change in plasticity; stimulation of cortical afferents reduced AMPA/NMDA ratios on those neurons (Shan et al. , 2014).
  • Nakanishi, S; Hikida, T; Yawata, S (12 December 2014). "Distinct dopaminergic control of the direct and indirect pathways in reward-based and avoidance learning behaviors". Neuroscience. 282: 49–59. doi:10.1016/j.neuroscience.2014.04.026. PMID 24769227.
  • Shiflett, MW; Balleine, BW (15 September 2011). "Molecular substrates of action control in cortico-striatal circuits". Progress in Neurobiology. 95 (1): 1–13. doi:10.1016/j.pneurobio.2011.05.007. PMC 3175490. PMID 21704115.
  • Schultz, W (April 2013). "Updating dopamine reward signals". Current Opinion in Neurobiology. 23 (2): 229–38. doi:10.1016/j.conb.2012.11.012. PMC 3866681. PMID 23267662.
  • Shiflett, MW; Balleine, BW (17 March 2011). "Contributions of ERK signaling in the striatum to instrumental learning and performance". Behavioural Brain Research. 218 (1): 240–7. doi:10.1016/j.bbr.2010.12.010. PMC 3022085. PMID 21147168.
  • Wise RA (1996). "Addictive drugs and brain stimulation reward". Annu. Rev. Neurosci. 19: 319–340. doi:10.1146/annurev.ne.19.030196.001535. PMID 8833446.
  • Biliński P, Wojtyła A, Kapka-Skrzypczak L, Chwedorowicz R, Cyranka M, Studziński T (2012). "Epigenetic regulation in drug addiction". Ann. Agric. Environ. Med. 19 (3): 491–496. PMID 23020045. For these reasons, ΔFosB is considered a primary and causative transcription factor in creating new neural connections in the reward centre, prefrontal cortex, and other regions of the limbic system. This is reflected in the increased, stable and long-lasting level of sensitivity to cocaine and other drugs, and tendency to relapse even after long periods of abstinence. These newly constructed networks function very efficiently via new pathways as soon as drugs of abuse are further taken ... In this way, the induction of CDK5 gene expression occurs together with suppression of the G9A gene coding for dimethyltransferase acting on the histone H3. A feedback mechanism can be observed in the regulation of these 2 crucial factors that determine the adaptive epigenetic response to cocaine. This depends on ΔFosB inhibiting G9a gene expression, i.e. H3K9me2 synthesis which in turn inhibits transcription factors for ΔFosB. For this reason, the observed hyper-expression of G9a, which ensures high levels of the dimethylated form of histone H3, eliminates the neuronal structural and plasticity effects caused by cocaine by means of this feedback which blocks ΔFosB transcription
  • Robison AJ, Nestler EJ (November 2011). "Transcriptional and epigenetic mechanisms of addiction". Nat. Rev. Neurosci. 12 (11): 623–637. doi:10.1038/nrn3111. PMC 3272277. PMID 21989194. ΔFosB serves as one of the master control proteins governing this structural plasticity.  ... ΔFosB also represses G9a expression, leading to reduced repressive histone methylation at the cdk5 gene. The net result is gene activation and increased CDK5 expression.  ... In contrast, ΔFosB binds to the c-fos gene and recruits several co-repressors, including HDAC1 (histone deacetylase 1) and SIRT 1 (sirtuin 1).  ... The net result is c-fos gene repression.
    Figure 4: Epigenetic basis of drug regulation of gene expression
  • Hitchcock LN, Lattal KM (2014). Histone-mediated epigenetics in addiction. Prog Mol Biol Transl Sci. Progress in Molecular Biology and Translational Science. Vol. 128. pp. 51–87. doi:10.1016/B978-0-12-800977-2.00003-6. ISBN 978-0-12-800977-2. PMC 5914502. PMID 25410541.
  • Walker DM, Nestler EJ (2018). Neuroepigenetics and addiction. Handbook of Clinical Neurology. Vol. 148. pp. 747–765. doi:10.1016/B978-0-444-64076-5.00048-X. ISBN 978-0-444-64076-5. PMC 5868351. PMID 29478612.
  • Goeders N.E. , Smith J.E. (1993). "Intracranial cocaine self-administration into the medial prefrontal cortex increases dopamine turnover in the nucleus accumbens". J. Pharmacol. Exp. Ther. 265 (2): 592–600. PMID 8496810.
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  • Zhang, B; Lin, P; Shi, H; Öngür, D; Auerbach, RP; Wang, X; Yao, S; Wang, X (September 2016). "Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis". Brain Imaging and Behavior. 10 (3): 920–39. doi:10.1007/s11682-015-9457-6. PMC 4838562. PMID 26487590.
  • Salamone, JD; Yohn, SE; López-Cruz, L; San Miguel, N; Correa, M (May 2016). "Activational and effort-related aspects of motivation: neural mechanisms and implications for psychopathology". Brain: A Journal of Neurology. 139 (Pt 5): 1325–47. doi:10.1093/brain/aww050. PMC 5839596. PMID 27189581.
  • Russo, SJ; Nestler, EJ (September 2013). "The brain reward circuitry in mood disorders". Nature Reviews. Neuroscience. 14 (9): 609–25. doi:10.1038/nrn3381. PMC 3867253. PMID 23942470.
  • Treadway, MT; Zald, DH (January 2011). "Reconsidering anhedonia in depression: lessons from translational neuroscience". Neuroscience and Biobehavioral Reviews. 35 (3): 537–55. doi:10.1016/j.neubiorev.2010.06.006. PMC 3005986. PMID 20603146.
  • Walsh, JJ; Han, MH (12 December 2014). "The heterogeneity of ventral tegmental area neurons: Projection functions in a mood-related context". Neuroscience. 282: 101–8. doi:10.1016/j.neuroscience.2014.06.006. PMC 4339667. PMID 24931766.
  • Lammel, S; Lim, BK; Malenka, RC (January 2014). "Reward and aversion in a heterogeneous midbrain dopamine system". Neuropharmacology. 76 Pt B: 351–9. doi:10.1016/j.neuropharm.2013.03.019. PMC 3778102. PMID 23578393.
  • Knowland, D; Lim, BK (5 January 2018). "Circuit-based frameworks of depressive behaviors: The role of reward circuitry and beyond". Pharmacology Biochemistry and Behavior. doi:10.1016/j.pbb.2017.12.010. PMID 29309799.
  • Lammel, S; Tye, KM; Warden, MR (January 2014). "Progress in understanding mood disorders: optogenetic dissection of neural circuits". Genes, Brain, and Behavior. 13 (1): 38–51. doi:10.1111/gbb.12049. PMID 23682971.
  • Bucci, P; Galderisi, S (May 2017). "Categorizing and assessing negative symptoms". Current Opinion in Psychiatry. 30 (3): 201–208. doi:10.1097/YCO.0000000000000322. PMID 28212174. They also provide a separate assessment of the consummatory anhedonia (reduced experience of pleasure derived from ongoing enjoyable activities) and anticipatory anhedonia (reduced ability to anticipate future pleasure). In fact, the former one seems to be relatively intact in schizophrenia, whereas the latter one seems to be impaired [32 – 34]. However, discrepant data have also been reported [35].

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