Functional connectivity in reward circuitry and symptoms of anhedonia as therapeutic targets in depression with high inflammation: evidence from a dopamine challenge study

Mandakh Bekhbat, Zhihao Li, Namrataa D Mehta, Michael T Treadway, Michael J Lucido, Bobbi J Woolwine, Ebrahim Haroon, Andrew H Miller, Jennifer C Felger, Mandakh Bekhbat, Zhihao Li, Namrataa D Mehta, Michael T Treadway, Michael J Lucido, Bobbi J Woolwine, Ebrahim Haroon, Andrew H Miller, Jennifer C Felger

Abstract

Increased inflammation in major depressive disorder (MDD) has been associated with low functional connectivity (FC) in corticostriatal reward circuits and symptoms of anhedonia, relationships which may involve the impact of inflammation on synthesis and release of dopamine. To test this hypothesis while establishing a platform to examine target engagement of potential therapies in patients with increased inflammation, medically stable unmedicated adult MDD outpatients enrolled to have a range of inflammation (as indexed by plasma C-reactive protein [CRP] levels) were studied at two visits involving acute challenge with the dopamine precursor levodopa (L-DOPA; 250 mg) and placebo (double-blind, randomized order ~1-week apart). The primary outcome of resting-state (rs)FC in a classic ventral striatum to ventromedial prefrontal cortex reward circuit was calculated using a targeted, a priori approach. Data available both pre- and post-challenge (n = 31/40) established stability of rsFC across visits and determined CRP > 2 mg/L as a cut-point for patients exhibiting positive FC responses (post minus pre) to L-DOPA versus placebo (p < 0.01). Higher post-L-DOPA FC in patients with CRP > 2 mg/L was confirmed in all patients (n = 40) where rsFC data were available post-challenge (B = 0.15, p = 0.006), and in those with task-based (tb)FC during reward anticipation (B = 0.15, p = 0.013). While effort-based motivation outside the scanner positively correlated with rsFC independent of treatment or CRP, change in anhedonia scores negatively correlated with rsFC after L-DOPA only in patients with CRP > 2 mg/L (r = -0.56, p = 0.012). FC in reward circuitry should be further validated in larger samples as a biomarker of target engagement for potential treatments including dopaminergic agents in MDD patients with increased inflammation.

Conflict of interest statement

In the past 3 years, JCF has consulted for Otsuka and Health BioConsulting on topics unrelated to this work. MTT has served as a paid consultant to Blackthorn Therapeutics. MTT is a co-inventor of the EEfRT, which is discussed in this manuscript. Emory University and Vanderbilt University licensed this software to BlackThorn Therapeutics. Under the IP Policies of both universities, MTT receives licensing fees and royalties from BlackThorn Therapeutics. Additionally, MTT has a paid consulting relationship with BlackThorn. The terms of these arrangements have been reviewed and approved by Emory University in accordance with its conflict-of-interest policies, and no funding from these entities was used to support the current work. The remaining authors declare no competing interests. All views expressed are solely those of the authors.

© 2022. The Authors.

Figures

Fig. 1. Study design and order of…
Fig. 1. Study design and order of procedures.
Abbreviations: BOLD blood oxygen level dependent, EEfRT effort expenditure for rewards task, fMRI functional magnetic resonance imaging, FC functional connectivity, L-DOPA levodopa, MID monetary incentive delay, SHAPS Snaith-Hamilton Pleasure Scale, vmPFC ventromedial prefrontal cortex, VS ventral striatum.
Fig. 2. Depressed patients with plasma CRP…
Fig. 2. Depressed patients with plasma CRP > versus ≤ 2 mg/L had higher VS-vmPFC FC after L-DOPA with respect to placebo.
In patients with VS-vmPFC rsFC available both pre- and post-L-DOPA and placebo (n = 31), rsFC responses (post minus pre) across a range of plasma CRP concentrations revealed that only patients with CRP > 2 mg/L had mean (black bars) positive responses (FC change > 0) after L-DOPA but not placebo (a). The rsFC response to L-DOPA was significantly higher in patients with CRP > versus ≤ 2 mg/L when controlling for response to placebo (b). In the full sample with analyzable rsFC data after both L-DOPA and placebo (n = 40), VS-vmPFC rsFC after L-DOPA with respect to placebo was also higher in patients with CRP > versus ≤ 2 mg/L (c). Similar relationships were observed during reward anticipation in the MID whereby VS-vmPFC tbFC after gain versus neutral cues was higher after L-DOPA with respect to placebo in patients with CRP > 2 mg/L (d). Individual subject data over violin plots with median and IQR. Abbreviations: CRP C-reactive protein, FC functional connectivity, L-DOPA levodopa, rs resting-state, tb task-based, vmPFC ventromedial prefrontal cortex, VS ventral striatum, IQR interquartile range.
Fig. 3. Change in anhedonia scores negatively…
Fig. 3. Change in anhedonia scores negatively correlated with VS-vmPFC rsFC after L-DOPA challenge only in patients with CRP > 2 mg/L.
An interaction was observed for treatment and CRP level on the relationship between rsFC and change in anhedonia (SHAPS scores, post minus pre), whereby a decrease in anhedonia was correlated with VS-vmPFC rsFC after L-DOPA but only in patients with CRP > 2 mg/L. CRP C-reactive protein, FC functional connectivity, L-DOPA levodopa, SHAPS Snaith-Hamilton Pleasure Scale, rs resting state, vmPFC ventromedial prefrontal cortex, VS ventral striatum.

References

    1. Felger JC, Treadway MT. Inflammation effects on motivation and motor activity: role of dopamine. Neuropsychopharmacology. 2017;42:216–41. doi: 10.1038/npp.2016.143.
    1. Rengasamy M, Marsland A, McClain L, Kovats T, Walko T, Pan L, et al. Longitudinal relationships of cytokines, depression and anhedonia in depressed adolescents. Brain Behav Immun. 2021;91:74–80. doi: 10.1016/j.bbi.2020.09.004.
    1. Swardfager W, Rosenblat JD, Benlamri M, McIntyre RS. Mapping inflammation onto mood: inflammatory mediators of anhedonia. Neurosci Biobehav Rev. 2016;64:148–66. doi: 10.1016/j.neubiorev.2016.02.017.
    1. Felger JC, Haroon E, Patel TA, Goldsmith DR, Wommack EC, Woolwine BJ, et al. What does plasma CRP tell us about peripheral and central inflammation in depression? Mol Psychiatry. 2020;25:1301–11. doi: 10.1038/s41380-018-0096-3.
    1. Jha MK, Miller AH, Minhajuddin A, Trivedi MH. Association of T and non-T cell cytokines with anhedonia: Role of gender differences. Psychoneuroendocrinology. 2018;95:1–7. doi: 10.1016/j.psyneuen.2018.05.017.
    1. Eisenberger NI, Berkman ET, Inagaki TK, Rameson LT, Mashal NM, Irwin MR. Inflammation-induced anhedonia: endotoxin reduces ventral striatum responses to reward. Biol Psychiatry. 2010;68:748–54. doi: 10.1016/j.biopsych.2010.06.010.
    1. Harrison NA, Brydon L, Walker C, Gray MA, Steptoe A, Critchley HD. Inflammation causes mood changes through alterations in subgenual cingulate activity and mesolimbic connectivity. Biol Psychiatry. 2009;66:407–14. doi: 10.1016/j.biopsych.2009.03.015.
    1. Capuron L, Pagnoni G, Drake DF, Woolwine BJ, Spivey JR, Crowe RJ, et al. Dopaminergic mechanisms of reduced basal ganglia responses to hedonic reward during interferon alfa administration. Arch Gen Psychiatry. 2012;69:1044–53. doi: 10.1001/archgenpsychiatry.2011.2094.
    1. Dipasquale O, Cooper EA, Tibble J, Voon V, Baglio F, Baselli G, et al. Interferon-alpha acutely impairs whole-brain functional connectivity network architecture - a preliminary study. Brain Behav Immun. 2016;58:31–9. doi: 10.1016/j.bbi.2015.12.011.
    1. Harrison NA, Voon V, Cercignani M, Cooper EA, Pessiglione M, Critchley HD. A neurocomputational account of how inflammation enhances sensitivity to punishments versus rewards. Biol Psychiatry. 2016;80:73–81. doi: 10.1016/j.biopsych.2015.07.018.
    1. Felger JC. Imaging the role of inflammation in mood and anxiety-related disorders. Curr Neuropharmacol. 2018;16:533–58. doi: 10.2174/1570159X15666171123201142.
    1. Felger JC, Li L, Marvar PJ, Woolwine BJ, Harrison DG, Raison CL, et al. Tyrosine metabolism during interferon-alpha administration: association with fatigue and CSF dopamine concentrations. Brain Behav Immun. 2013;31:153–60. doi: 10.1016/j.bbi.2012.10.010.
    1. Yohn SE, Arif Y, Haley A, Tripodi G, Baqi Y, Muller CE, et al. Effort-related motivational effects of the pro-inflammatory cytokine interleukin-6: pharmacological and neurochemical characterization. Psychopharmacology. 2016;233:3575–86. doi: 10.1007/s00213-016-4392-9.
    1. Cunnington C, Channon KM. Tetrahydrobiopterin: pleiotropic roles in cardiovascular pathophysiology. Heart. 2010;96:1872–7. doi: 10.1136/hrt.2009.180430.
    1. Felger JC, Hernandez CR, Miller AH. Levodopa reverses cytokine-induced reductions in striatal dopamine release. Int J Neuropsychopharmacol. 2015;18:1–5. doi: 10.1093/ijnp/pyu084.
    1. Felger JC, Mun J, Kimmel HL, Nye JA, Drake DF, Hernandez CR, et al. Chronic interferon-alpha decreases dopamine 2 receptor binding and striatal dopamine release in association with anhedonia-like behavior in nonhuman primates. Neuropsychopharmacology. 2013;38:2179–87. doi: 10.1038/npp.2013.115.
    1. Rengasamy M, Brundin L, Griffo A, Panny B, Capan C, Forton C, et al. Cytokine and reward circuitry relationships in treatment-resistant depression. Biol Psychiatry Glob Open Sci. 2022;2:45–53. doi: 10.1016/j.bpsgos.2021.06.009.
    1. Milaneschi Y, Kappelmann N, Ye Z, Lamers F, Moser S, Jones PB, et al. Association of inflammation with depression and anxiety: evidence for symptom-specificity and potential causality from UK Biobank and NESDA cohorts. Mol Psychiatry. 2021;26:7393–402. doi: 10.1038/s41380-021-01188-w.
    1. Felger JC, Li Z, Haroon E, Woolwine BJ, Jung MY, Hu X, et al. Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Mol Psychiatry. 2016;21:1358–65. doi: 10.1038/mp.2015.168.
    1. Costi S, Morris LS, Collins A, Fernandez NF, Patel M, Xie H, et al. Peripheral immune cell reactivity and neural response to reward in patients with depression and anhedonia. Transl Psychiatry. 2021;11:565. doi: 10.1038/s41398-021-01668-1.
    1. Burrows K, Stewart JL, Kuplicki R, Figueroa-Hall L, Spechler PA, Zheng H, et al. Elevated peripheral inflammation is associated with attenuated striatal reward anticipation in major depressive disorder. Brain Behav Immun. 2021;93:214–25. doi: 10.1016/j.bbi.2021.01.016.
    1. Jha MK, Minhajuddin A, Gadad BS, Greer T, Grannemann B, Soyombo A, et al. Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial. Psychoneuroendocrinology. 2017;78:105–13. doi: 10.1016/j.psyneuen.2017.01.023.
    1. Cattaneo A, Ferrari C, Uher R, Bocchio-Chiavetto L, Riva MA, Consortium MRCI et al. Absolute measurements of macrophage migration inhibitory factor and interleukin-1-beta mRNA levels accurately predict treatment response in depressed patients. Int J Neuropsychopharmacol. 2016;19:pyw045.
    1. Uher R, Tansey KE, Dew T, Maier W, Mors O, Hauser J, et al. An inflammatory biomarker as a differential predictor of outcome of depression treatment with escitalopram and nortriptyline. Am J Psychiatry. 2014;171:1278–86. doi: 10.1176/appi.ajp.2014.14010094.
    1. Haroon E, Daguanno AW, Woolwine BJ, Goldsmith DR, Baer WM, Wommack EC, et al. Antidepressant treatment resistance is associated with increased inflammatory markers in patients with major depressive disorder. Psychoneuroendocrinology. 2018;95:43–9. doi: 10.1016/j.psyneuen.2018.05.026.
    1. Russo SJ, Nestler EJ. The brain reward circuitry in mood disorders. Nat Rev Neurosci. 2013;14:609–25. doi: 10.1038/nrn3381.
    1. Yin L, Xu X, Chen G, Mehta ND, Haroon E, Miller AH, et al. Inflammation and decreased functional connectivity in a widely-distributed network in depression: Centralized effects in the ventral medial prefrontal cortex. Brain Behav Immun. 2019;80:657–66. doi: 10.1016/j.bbi.2019.05.011.
    1. Mehta ND, Stevens JS, Li Z, Gillespie CF, Fani N, Michopoulos V, et al. Inflammation, reward circuitry and symptoms of anhedonia and PTSD in trauma-exposed women. Soc Cogn Affect Neurosci. 2020;15:1046–55. doi: 10.1093/scan/nsz100.
    1. Treadway MT, Bossaller NA, Shelton RC, Zald DH. Effort-based decision-making in major depressive disorder: a translational model of motivational anhedonia. J Abnorm Psychol. 2012;121:553–8. doi: 10.1037/a0028813.
    1. Treadway MT, Pizzagalli DA. Imaging the pathophysiology of major depressive disorder - from localist models to circuit-based analysis. Biol Mood Anxiety Disord. 2014;4:5. doi: 10.1186/2045-5380-4-5.
    1. Dunlop BW, Nemeroff CB. The role of dopamine in the pathophysiology of depression. Arch Gen Psychiatry. 2007;64:327–37. doi: 10.1001/archpsyc.64.3.327.
    1. Goldsmith DR, Bekhbat M, Le NA, Chen X, Woolwine BJ, Li Z, et al. Protein and gene markers of metabolic dysfunction and inflammation together associate with functional connectivity in reward and motor circuits in depression. Brain Behav Immun. 2020;88:193–202. doi: 10.1016/j.bbi.2020.05.013.
    1. Williams JB. A structured interview guide for the Hamilton Depression Rating Scale. Arch Gen Psychiatry. 1988;45:742–7. doi: 10.1001/archpsyc.1988.01800320058007.
    1. Kelly C, de Zubicaray G, Di Martino A, Copland DA, Reiss PT, Klein DF, et al. L-dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. J Neurosci. 2009;29:7364–78. doi: 10.1523/JNEUROSCI.0810-09.2009.
    1. Wu CC, Samanez-Larkin GR, Katovich K, Knutson B. Affective traits link to reliable neural markers of incentive anticipation. NeuroImage. 2014;84:279–89. doi: 10.1016/j.neuroimage.2013.08.055.
    1. Wardle MC, Treadway MT, Mayo LM, Zald DH, de Wit H. Amping up effort: effects of d-Amphetamine on human effort-based decision-making. J Neurosci. 2011;31:16597–602. doi: 10.1523/JNEUROSCI.4387-11.2011.
    1. Soder HE, Cooper JA, Lopez-Gamundi P, Hoots JK, Nunez C, Lawlor VM, et al. Dose-response effects of d-amphetamine on effort-based decision-making and reinforcement learning. Neuropsychopharmacology. 2021;46:1078–85. doi: 10.1038/s41386-020-0779-8.
    1. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56–62. doi: 10.1136/jnnp.23.1.56.
    1. Treadway MT, Buckholtz JW, Schwartzman AN, Lambert WE, Zald DH. Worth the ‘EEfRT’? The effort expenditure for rewards task as an objective measure of motivation and anhedonia. PloS One. 2009;4:e6598. doi: 10.1371/journal.pone.0006598.
    1. Treadway MT, Buckholtz JW, Cowan RL, Woodward ND, Li R, Ansari MS, et al. Dopaminergic mechanisms of individual differences in human effort-based decision-making. J Neurosci. 2012;32:6170–6. doi: 10.1523/JNEUROSCI.6459-11.2012.
    1. Boyle CC, Kuhlman KR, Dooley LN, Haydon MD, Robles TF, Ang YS, et al. Inflammation and dimensions of reward processing following exposure to the influenza vaccine. Psychoneuroendocrinology. 2019;102:16–23. doi: 10.1016/j.psyneuen.2018.11.024.
    1. Nakonezny PA, Carmody TJ, Morris DW, Kurian BT, Trivedi MH. Psychometric evaluation of the Snaith-Hamilton pleasure scale in adult outpatients with major depressive disorder. Int Clin Psychopharmacol. 2010;25:328–33. doi: 10.1097/YIC.0b013e32833eb5ee.
    1. Murray L, Israel ES, Balkind EG, Pastro B, Lovell-Smith N, Lukas SE, et al. Multi-modal assessment of reward functioning in adolescent anhedonia. Psychol Med. 2022;1–10. .
    1. Haroon E, Felger JC, Woolwine BJ, Chen X, Parekh S, Spivey JR, et al. Age-related increases in basal ganglia glutamate are associated with TNF, reduced motivation and decreased psychomotor speed during IFN-alpha treatment: preliminary findings. Brain Behav Immun. 2015;46:17–22. doi: 10.1016/j.bbi.2014.12.004.
    1. Raison CL, Borisov AS, Majer M, Drake DF, Pagnoni G, Woolwine BJ, et al. Activation of central nervous system inflammatory pathways by interferon-alpha: relationship to monoamines and depression. Biol Psychiatry. 2009;65:296–303. doi: 10.1016/j.biopsych.2008.08.010.
    1. Torres MA, Pace TW, Liu T, Felger JC, Mister D, Doho GH, et al. Predictors of depression in breast cancer patients treated with radiation: role of prior chemotherapy and nuclear factor kappa B. Cancer. 2013;119:1951–9. doi: 10.1002/cncr.28003.
    1. Lindemann L, Meyer CA, Jeanneau K, Bradaia A, Ozmen L, Bluethmann H, et al. Trace amine-associated receptor 1 modulates dopaminergic activity. J Pharm Exp Ther. 2008;324:948–56. doi: 10.1124/jpet.107.132647.
    1. Pehrson AL, Cremers T, Betry C, van der Hart MG, Jorgensen L, Madsen M, et al. Lu AA21004, a novel multimodal antidepressant, produces regionally selective increases of multiple neurotransmitters—a rat microdialysis and electrophysiology study. Eur Neuropsychopharmacol. 2013;23:133–45. doi: 10.1016/j.euroneuro.2012.04.006.
    1. Mugler JP, 3rd, Brookeman JR. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE) Magn Reson Med. 1990;15:152–7. doi: 10.1002/mrm.1910150117.
    1. Birn RM, Molloy EK, Patriat R, Parker T, Meier TB, Kirk GR, et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage. 2013;83:550–8. doi: 10.1016/j.neuroimage.2013.05.099.
    1. Jo HJ, Saad ZS, Simmons WK, Milbury LA, Cox RW. Mapping sources of correlation in resting state FMRI, with artifact detection and removal. Neuroimage. 2010;52:571–82. doi: 10.1016/j.neuroimage.2010.04.246.
    1. Di Martino A, Scheres A, Margulies DS, Kelly AM, Uddin LQ, Shehzad Z, et al. Functional connectivity of human striatum: a resting state FMRI study. Cereb Cortex. 2008;18:2735–47. doi: 10.1093/cercor/bhn041.
    1. Furman DJ, Hamilton JP, Gotlib IH. Frontostriatal functional connectivity in major depressive disorder. Biol Mood Anxiety Disord. 2011;1:11. doi: 10.1186/2045-5380-1-11.
    1. Diekhof EK, Kaps L, Falkai P, Gruber O. The role of the human ventral striatum and the medial orbitofrontal cortex in the representation of reward magnitude - an activation likelihood estimation meta-analysis of neuroimaging studies of passive reward expectancy and outcome processing. Neuropsychologia. 2012;50:1252–66. doi: 10.1016/j.neuropsychologia.2012.02.007.
    1. Mehta ND, Haroon E, Xu X, Woolwine BJ, Li Z, Felger JC. Inflammation negatively correlates with amygdala-ventromedial prefrontal functional connectivity in association with anxiety in patients with depression: preliminary results. Brain, Behav, Immun. 2018;73:725–30. doi: 10.1016/j.bbi.2018.07.026.
    1. Jung WH, Kang DH, Kim E, Shin KS, Jang JH, Kwon JS. Abnormal corticostriatal-limbic functional connectivity in obsessive-compulsive disorder during reward processing and resting-state. NeuroImage Clin. 2013;3:27–38. doi: 10.1016/j.nicl.2013.06.013.
    1. Admon R, Nickerson LD, Dillon DG, Holmes AJ, Bogdan R, Kumar P, et al. Dissociable cortico-striatal connectivity abnormalities in major depression in response to monetary gains and penalties. Psychol Med. 2015;45:121–31. doi: 10.1017/S0033291714001123.
    1. Ye Z, Hammer A, Camara E, Munte TF. Pramipexole modulates the neural network of reward anticipation. Hum Brain Mapp. 2011;32:800–11. doi: 10.1002/hbm.21067.
    1. Rissman J, Gazzaley A, D’Esposito M. Measuring functional connectivity during distinct stages of a cognitive task. NeuroImage. 2004;23:752–63. doi: 10.1016/j.neuroimage.2004.06.035.
    1. Fornito A, Yoon J, Zalesky A, Bullmore ET, Carter CS. General and specific functional connectivity disturbances in first-episode schizophrenia during cognitive control performance. Biol Psychiatry. 2011;70:64–72. doi: 10.1016/j.biopsych.2011.02.019.
    1. Cisler JM, Bush K, Steele JS. A comparison of statistical methods for detecting context-modulated functional connectivity in fMRI. NeuroImage. 2014;84:1042–52. doi: 10.1016/j.neuroimage.2013.09.018.
    1. Ridker PM. Clinical application of C-reactive protein for cardiovascular disease detection and prevention. Circulation. 2003;107:363–9. doi: 10.1161/01.CIR.0000053730.47739.3C.
    1. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med. 2017;377:1119–31. doi: 10.1056/NEJMoa1707914.
    1. Raison CL, Rutherford RE, Woolwine BJ, Shuo C, Schettler P, Drake DF, et al. A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiatry. 2013;70:31–41. doi: 10.1001/2013.jamapsychiatry.4.
    1. Salvadore G, Nash A, Bleys C, Hsu B, Saad Z, Gause A, et al. A double-blind, placebo-controlled, multicenter study of sirukumab as adjunctive treatment to a monoaminergic antidepressant in adults with major depressive disorder, in ACNP 57th Annual Meeting: Poster Session II, Hollywood, FL. Neuropsychopharmacology. 2018;43:228–382.
    1. Lee Y, Mansur RB, Brietzke E, Carmona NE, Subramaniapillai M, Pan Z, et al. Efficacy of adjunctive infliximab vs. placebo in the treatment of anhedonia in bipolar I/II depression. Brain Behav Immun. 2020;88:631–9. doi: 10.1016/j.bbi.2020.04.063.
    1. Miller AH, Haroon E, Felger JC. Therapeutic implications of brain-immune interactions: treatment in translation. Neuropsychopharmacology. 2017;42:334–59. doi: 10.1038/npp.2016.167.
    1. Dreyer L, Magyari M, Laursen B, Cordtz R, Sellebjerg F, Locht H. Risk of multiple sclerosis during tumour necrosis factor inhibitor treatment for arthritis: a population-based study from DANBIO and the Danish Multiple Sclerosis Registry. Ann Rheum Dis. 2016;75:785–6. doi: 10.1136/annrheumdis-2015-208490.
    1. Rutherford BR, Slifstein M, Chen C, Abi-Dargham A, Brown PJ, Wall MW, et al. Effects of L-DOPA monotherapy on psychomotor speed and [(11)C]Raclopride binding in high-risk older adults with depression. Biol Psychiatry. 2019;86:221–9. doi: 10.1016/j.biopsych.2019.04.007.
    1. Haber SN, Knutson B. The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology. 2010;35:4–26. doi: 10.1038/npp.2009.129.
    1. Haroon E, Miller AH, Sanacora G. Inflammation, glutamate, and glia: a trio of trouble in mood disorders. Neuropsychopharmacology. 2017;42:193–215. doi: 10.1038/npp.2016.199.
    1. Haroon E, Chen X, Li Z, Patel T, Woolwine BJ, Hu XP, et al. Increased inflammation and brain glutamate define a subtype of depression with decreased regional homogeneity, impaired network integrity, and anhedonia. Transl Psychiatry. 2018;8:189. doi: 10.1038/s41398-018-0241-4.

Source: PubMed

3
Prenumerera