Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol

Kristin Köhler-Forsberg, Anders Jorgensen, Vibeke H Dam, Dea Siggaard Stenbæk, Patrick M Fisher, Cheng-Teng Ip, Melanie Ganz, Henrik Enghusen Poulsen, Annamaria Giraldi, Brice Ozenne, Martin Balslev Jørgensen, Gitte Moos Knudsen, Vibe Gedsoe Frokjaer, Kristin Köhler-Forsberg, Anders Jorgensen, Vibeke H Dam, Dea Siggaard Stenbæk, Patrick M Fisher, Cheng-Teng Ip, Melanie Ganz, Henrik Enghusen Poulsen, Annamaria Giraldi, Brice Ozenne, Martin Balslev Jørgensen, Gitte Moos Knudsen, Vibe Gedsoe Frokjaer

Abstract

Background: Between 30 and 50% of patients with major depressive disorder (MDD) do not respond sufficiently to antidepressant regimens. The conventional pharmacological treatments predominantly target serotonergic brain signaling but better tools to predict treatment response and identify relevant subgroups of MDD are needed to support individualized and mechanistically targeted treatment strategies. The aim of this study is to investigate antidepressant-free patients with MDD using neuroimaging, electrophysiological, molecular, cognitive, and clinical examinations and evaluate their ability to predict clinical response to SSRI treatment as individual or combined predictors.

Methods: We will include 100 untreated patients with moderate to severe depression (>17 on the Hamilton Depression Rating Scale 17) in a non-randomized open clinical trial. We will collect data from serotonin 4 receptor positron emission tomography (PET) brain scans, functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), cognitive tests, psychometry, and peripheral biomarkers, before (at baseline), during, and after 12 weeks of standard antidepressant treatment. Patients will be treated with escitalopram, and in case of non-response at week 4 or intolerable side effects, offered to switch to a second line treatment with duloxetine. Our primary outcome (treatment response) is assessed using the Hamilton depression rating subscale 6-item scores at week 8, compared to baseline. In a subset of the patients (n = ~40), we will re-assess the neurobiological response (using PET, fMRI, and EEG) 8 weeks after initiated pharmacological antidepressant treatment, to map neurobiological signatures of treatment responses. Data from matched controls will either be collected or is already available from other cohorts.

Discussion: The extensive investigational program with follow-up in this large cohort of participants provides a unique possibility to (a) uncover potential biomarkers for antidepressant treatment response, (b) apply the findings for future stratification of MDD, (c) advance the understanding of pathophysiological underpinnings of MDD, and (d) uncover how putative biomarkers change in response to 8 weeks of pharmacological antidepressant treatment. Our data can pave the way for a precision medicine approach for optimized treatment of MDD and also provides a resource for future research and data sharing.

Clinical trial registration: The study was registered at clinicaltrials.gov prior to initiation (NCT02869035; 08.16.2016, URL: https://ichgcp.net/clinical-trials-registry/NCT02869035&cntry=&state=&city=&dist=).

Keywords: biomarker; cognition; electroencephalogram; functional magnetic resonance imaging; major depressive disorder; positron emission tomography; serotonin 4 receptor; treatment response.

Copyright © 2020 Köhler-Forsberg, Jorgensen, Dam, Stenbæk, Fisher, Ip, Ganz, Poulsen, Giraldi, Ozenne, Jørgensen, Knudsen and Frokjaer.

Figures

Figure 1
Figure 1
Flowchart of study trial assessments for patients with MDD.
Figure 2
Figure 2
Flow diagram (CONSORT) of the NeuroPharm trial.
Figure 3
Figure 3
Response categorization for patients with MDD after 4 and 8 weeks of antidepressant treatment based on changes in HAMD6 score.

References

    1. Global Burden of Disease Study 2013 Collaborators Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England: ) 386(9995):743–800. 10.1016/S0140-6736(15)60692-4
    1. Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray C, et al. Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010. PloS Med (2013) 10(11):e1001547. 10.1371/journal.pmed.10015473
    1. Benmansour S, Owens WA, Cecchi M, Morilak DA, Frazer A. Serotonin Clearance In Vivo Is Altered to a Greater Extent by Antidepressant-Induced Downregulation of the Serotonin Transporter than by Acute Blockade of this Transporter. J Neurosci (2002) 22(15):6766–72. 10.1523/jneurosci.22-15-06766.20024
    1. Smith DF, Jakobsen S. Molecular neurobiology of depression: PET findings on the elusive correlation with symptom severity. Front Psychiatry (2013) 4:8. 10.3389/fpsyt.2013.00008
    1. Rush AJ, Trivedi MH, Wisniewski SR, Nierenberg AA, Stewart JW, Warden D, et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: A STAR*D report. Am J Psychiatry (2006) 163(11):1905–17. 10.1176/ajp.2006.163.11.19056
    1. Nakajima S, Uchida H, Suzuki T, Watanabe K, Hirano J, Yagihashi T, et al. Is switching antidepressants following early nonresponse more beneficial in acute-phase treatment of depression?: A randomized open-label trial. Prog Neuropsychopharmacol Biol Psychiatry (2011) 35(8):1983–9. 10.1016/j.pnpbp.2011.08.008
    1. Hasler G. Pathophysiology of depression: Do we have any solid evidence of interest to clinicians? World Psychiatry (2010) 9(3):155–61. 10.1002/j.2051-5545.2010.tb00298.x
    1. Hellwig S, Domschke K. Update on PET imaging biomarkers in the diagnosis of neuropsychiatric disorders. Curr Opin Neurol (2019) 32(4):539–47. 10.1097/wco.0000000000000705
    1. Strawbridge R, Young AH, Cleare AJ. Biomarkers for depression: Recent insights, current challenges and future prospects. Neuropsychiatr Dis Treat (2017) 13:1245–62. 10.2147/NDT.S114542
    1. Williams LM, Rush AJ, Koslow SH, Wisniewski SR, Cooper NJ, Nemeroff C, et al. International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: Rationale and protocol. Trials (2011) 12:4. 10.1186/1745-6215-12-4
    1. Trivedi MH, McGrath PJ, Fava M, Parsey RV, Kurian BT, Phillips ML, et al. Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design. J Psychiatr Res (2016) 78:11–23. 10.1016/j.jpsychires.2016.03.001
    1. Lam RW, Milev R, Rotzinger S, Andreazza AC, Blier P, Brenner C, et al. Discovering biomarkers for antidepressant response: Protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort. BMC Psychiatry (2016) 16:105. 10.1186/s12888-016-0785-x
    1. Gong B, Naveed S, Hafeez DM, Afzal KI, Majeed S, Abele J, et al. Neuroimaging in Psychiatric Disorders: A Bibliometric Analysis of the 100 Most Highly Cited Articles. J Neuroimaging (2019) 29(1):14–33. 10.1111/jon.12570
    1. Rebholz H, Friedman E, Castello J. Alterations of Expression of the Serotonin 5-HT4 Receptor in Brain Disorders. Int J Mol Sci (2018) 19(11): 3581. 10.3390/ijms19113581
    1. Lucas G, Rymar VV, Du J, Mnie-Filali O, Bisgaard C, Manta S, et al. Serotonin(4) (5-HT(4)) receptor agonists are putative antidepressants with a rapid onset of action. Neuron (2007) 55(5):712–25. 10.1016/j.neuron.2007.07.041
    1. Licht CL, Marcussen AB, Wegener G, Overstreet DH, Aznar S, Knudsen GM. The brain 5-HT4 receptor binding is down-regulated in the Flinders Sensitive Line depression model and in response to paroxetine administration. J Neurochem (2009) 109(5):1363–74. 10.1111/j.1471-4159.2009.06050.x
    1. Vidal R, Valdizán EM, Mostany R, Pazos A, Castro E. Long-term treatment with fluoxetine induces desensitization of 5-HT 4 receptor-dependent signalling and functionality in rat brain. J Neurochem (2009) 110(3):1120–7. 10.1111/j.1471-4159.2009.06210.x
    1. Haahr ME, Fisher PM, Jensen CG, Frokjaer VG, Mc Mahon B, Madsen K, et al. Central 5-HT4 receptor binding as biomarker of serotonergic tonus in humans: A [11C]SB207145 PET study. Mol Psychiatry (2014) 19(4):427–32. 10.1038/mp.2013.147
    1. Stuhrmann A, Suslow T, Dannlowski U. Facial emotion processing in major depression: A systematic review of neuroimaging findings. Biol Mood Anxiety Disord (2011) 1(1):10. 10.1186/2045-5380-1-10
    1. Williams LM, Korgaonkar MS, Song YC, Paton R, Eagles S, Goldstein-Piekarski A, et al. Amygdala Reactivity to Emotional Faces in the Prediction of General and Medication-Specific Responses to Antidepressant Treatment in the Randomized iSPOT-D Trial. Neuropsychopharmacology (2015) 40(10):2398–408. 10.1038/npp.2015.89
    1. Goldstein-Piekarski AN, Korgaonkar MS, Green E, Suppes T, Schatzberg AF, Hastie T, et al. Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants. Proc Natl Acad Sci (2016) 113(42):11955–60. 10.1073/pnas.1606671113
    1. Fisher PMD, Haahr ME, Jensen CG, Frokjaer VG, Siebner HR, Knudsen GM. Fluctuations in [11C]SB207145 PET Binding Associated with Change in Threat-Related Amygdala Reactivity in Humans. Neuropsychopharmacology (2015) 40(6):1510–8. 10.1038/npp.2014.339
    1. Fisher PM, Hariri AR. Linking variability in brain chemistry and circuit function through multimodal human neuroimaging. Genes Brain Behav (2012) 11(6):633–42. 10.1111/j.1601-183X.2012.00786.x
    1. Raichle ME. The Brain’s Default Mode Network. Annu Rev Neurosci (2015) 38:433–47. 10.1146/annurev-neuro-071013-014030
    1. Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry (2015). 72(6):603–11. 10.1001/jamapsychiatry.2015.0071
    1. Drysdale AT, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y, et al. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med (2017) 23(1):28–38. 10.1038/nm.4246
    1. Dinga R, Schmaal L, Penninx BWJH, van Tol MJ, Veltman DJ, van Velzen L, et al. Evaluating the evidence for biotypes of depression: Methodological replication and extension of. NeuroImage Clin (2019) 22:101796 10.1016/j.nicl.2019.101796
    1. Patel MJ, Khalaf A, Aizenstein HJ. Studying depression using imaging and machine learning methods. NeuroImage Clin (2016) 10:115–23. 10.1016/j.nicl.2015.11.003
    1. Olbrich S, Arns M. EEG biomarkers in major depressive disorder: Discriminative power and prediction of treatment response. Int Rev Psychiatry (2013) 25(5):604–18. 10.3109/09540261.2013.816269
    1. Arns M, Bruder G, Hegerl U, Spooner C, Palmer DM, Etkin A, et al. EEG alpha asymmetry as a gender-specific predictor of outcome to acute treatment with different antidepressant medications in the randomized iSPOT-D study. Clin Neurophysiol (2016) 127(1):509–19. 10.1016/j.clinph.2015.05.032
    1. Pizzagalli DA. Frontocingulate dysfunction in depression: Toward biomarkers of treatment response. Neuropsychopharmacology (2011) 36(1):183–206. 10.1038/npp.2010.166
    1. Pizzagalli DA, Webb CA, Dillon DG, et al. Pretreatment rostral anterior cingulate cortex theta activity in relation to symptom improvement in depression: A randomized clinical trial. JAMA Psychiatry (2018) 75(6):547–54. 10.1001/jamapsychiatry.2018.0252
    1. Jaworska N, Protzner A. Electrocortical features of depression and their clinical utility in assessing antidepressant treatment outcome. Can J Psychiatry (2013) 58(9):509–14. 10.1177/070674371305800905
    1. Mulert C, Juckel G, Brunnmeier M, Karch S, Leicht G, Mergl R, et al. Prediction of treatment response in major depression: Integration of concepts. J Affect Disord (2007) 98(3):215–25. 10.1016/j.jad.2006.07.021
    1. Juckel G, Pogarell O, Augustin H, Mulert C, Müller-Siecheneder F, Frodl T, et al. Differential prediction of first clinical response to serotonergic and noradrenergic antidepressants using the loudness dependence of auditory evoked potentials in patients with major depressive disorder. J Clin Psychiatry (2007) 68(8):1206–12. 10.4088/JCP.v68n0806
    1. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: A systematic review and meta-analysis. Psychol Med (2014) 44(10):2029–40. 10.1017/S0033291713002535
    1. Weightman MJ, Knight MJ, Baune BT. A systematic review of the impact of social cognitive deficits on psychosocial functioning in major depressive disorder and opportunities for therapeutic intervention. Psychiatry Res (2019) 274:195–212. 10.1016/j.psychres.2019.02.035
    1. Roiser JP, Elliott R, Sahakian BJ. Cognitive mechanisms of treatment in depression. Neuropsychopharmacology (2012) 37(1):117–36. 10.1038/npp.2011.183
    1. Kingslake J, Dias R, Dawson GR, Simon J, Goodwin GM, Harmer CJ, et al. The effects of using the PReDicT Test to guide the antidepressant treatment of depressed patients: Study protocol for a randomised controlled trial. Trials (2017) 18(1):558. 10.1186/s13063-017-2247-2
    1. Zuckerman H, Pan Z, Park C, Brietzke E, Musial N, Shariq AS, et al. Recognition and Treatment of Cognitive Dysfunction in Major Depressive Disorder. Front Psychiatry (2018) 9:655. 10.3389/fpsyt.2018.00655
    1. Haahr ME, Fisher P, Holst K, Madsen K, Jensen CG, Marner L, et al. The 5-HT4 receptor levels in hippocampus correlates inversely with memory test performance in humans. Hum Brain Mapp (2013) 34(11):3066–74. 10.1002/hbm.22123
    1. Stenbæk DS, Fisher PM, Ozenne B, Andersen E, Hjordt LV, McMahon B, et al. Brain serotonin 4 receptor binding is inversely associated with verbal memory recall. Brain Behav (2017) 7(4):e00674. 10.1002/brb3.674
    1. Dantzer R, O’Connor JC, Lawson MA, Kelley KW. Inflammation-associated depression: From serotonin to kynurenine. Psychoneuroendocrinology (2011) 36(3):426–36. 10.1016/j.psyneuen.2010.09.012
    1. Lanquillon S, Krieg JC, Bening-Abu-Shach U, Vedder H. Cytokine production and treatment response in major depressive disorder. Neuropsychopharmacology (2000) 22(4):370–9. 10.1016/S0893-133X(99)00134-7
    1. Liu JJ, Bin WY, Strawbridge R, Bao Y, Chang S, Shi L, et al. Peripheral cytokine levels and response to antidepressant treatment in depression: a systematic review and meta-analysis. Mol Psychiatry (2019) 25(2):339–50. 10.1038/s41380-019-0474-5
    1. Richards EM, Zanotti-Fregonara P, Fujita M, Newman L, Farmer C, Ballard ED, et al. PET radioligand binding to translocator protein (TSPO) is increased in unmedicated depressed subjects. EJNMMI Res (2018) 8(1):57. 10.1186/s13550-018-0401-9
    1. Zhu CB, Blakely RD, Hewlett WA. The proinflammatory cytokines interleukin-1beta and tumor necrosis factor-alpha activate serotonin transporters. Neuropsychopharmacology (2006) 31(10):2121–31. 10.1038/sj.npp.1301029
    1. Allison DJ, Ditor DS. The common inflammatory etiology of depression and cognitive impairment: A therapeutic target. J Neuroinflamm (2014) 11:151 10.1186/s12974-014-0151-1
    1. Khan A, Faucett J, Morrison S, Brown WA. Comparative mortality risk in adult patients with schizophrenia, depression, bipolar disorder, anxiety disorders, and attention-deficit/ hyperactivity disorder participating in psychopharmacology clinical trials. JAMA Psychiatry (2013) 70(10):1091–9. 10.1001/jamapsychiatry.2013.149
    1. Laursen TM, Musliner KL, Benros ME, Vestergaard M, Munk-Olsen T. Mortality and life expectancy in persons with severe unipolar depression. J Affect Disord (2016) 193:203–7. 10.1016/j.jad.2015.12.067
    1. Wolkowitz OW, Epel ES, Reus VI, Mellon SH. Depression gets old fast: Do stress and depression accelerate cell aging? Depress Anxiety (2010) 27(4):327–38. 10.1002/da.20686
    1. Jorgensen A, Maigaard K, Wörtwein G, Hageman I, Henriksen T, Weimann A, et al. Chronic restraint stress in rats causes sustained increase in urinary corticosterone excretion without affecting cerebral or systemic oxidatively generated DNA/RNA damage. Prog Neuropsychopharmacol Biol Psychiatry (2013) 40:30–7. 10.1016/j.pnpbp.2012.08.016
    1. Jørgensen A, Brødbaek K, Weimann A, Fink-Jensen A, Knorr U, Greisen Soendergaard M, Henriksen T, et al. Jørgensen: Increased Systemic Oxidatively Generated DNA and RNA Damage in Schizophrenia. Psychiatry Research 2013 (Epub ahead of print). Dan Med J (2013) 209(3):417–23. 10.1016/j.psychres.2013.01.033
    1. Joergensen A, Broedbaek K, Weimann A, Semba RD, Ferrucci L, Joergensen MB, et al. Association between urinary excretion of cortisol and markers of oxidatively damaged DNA and RNA in humans. PloS One (2011) 6(6):e20795. 10.1371/journal.pone.0020795
    1. Jorgensen A, Krogh J, Miskowiak K, Bolwig TG, Kessing LV, Fink-Jensen A, et al. Systemic oxidatively generated DNA/RNA damage in clinical depression: Associations to symptom severity and response to electroconvulsive therapy. J Affect Disord (2013) 149(1-3):355–62. 10.1016/j.jad.2013.02.011
    1. Walton NM, Shin R, Tajinda K, Heusner CL, Kogan JH, Miyake S, et al. Adult neurogenesis transiently generates oxidative stress. PloS One (2012) 7(4):e35264. 10.1371/journal.pone.0035264
    1. Chung CP, Schmidt D, Stein CM, Morrow JD, Salomon RM. Increased oxidative stress in patients with depression and its relationship to treatment. Psychiatry Res (2012) 206(2-3):213–6. 10.1016/j.psychres.2012.10.018
    1. Jørgensen A. Oxidatively generated DNA/RNA damage in psychological stress states. Dan Med J (2013) 60(7):1–14.
    1. Da Cunha-Bang S, Hjordt LV, Dam VH, Stenbæk DS, Sestoft D, Knudsen GM. Anterior cingulate serotonin 1B receptor binding is positively associated with inhibitory control and amygdala reactivity to aversive faces. Eur Neuropsychopharmacol (2016) 92:199–204. 10.1016/s0924-977x(16)31246-9
    1. Fava M, Rush AJ, Alpert JE, Balasubramani GK, Wisniewski SR, Carmin CN, et al. Difference in treatment outcome in outpatients with anxious versus nonanxious depression: A STAR*D report. Am J Psychiatry (2008) 165(3):342–51. 10.1176/appi.ajp.2007.06111868
    1. Montejo AL, Montejo L, Baldwin DS. The impact of severe mental disorders and psychotropic medications on sexual health and its implications for clinical management. World Psychiatry (2018) 17(1):3–11. 10.1002/wps.20509
    1. Williams VSL, Edin HM, Hogue SL, Fehnel SE, Baldwin DS. Prevalence and impact of antidepressant-associated sexual dysfunction in three European countries: Replication in a cross-sectional patient survey. J Psychopharmacol (2010) 24(4):489–96. 10.1177/0269881109102779
    1. Pfaus JG. Pathways of sexual desire. J Sex Med (2009) 6(6):1506–33. 10.1111/j.1743-6109.2009.01309.x
    1. Jakobsen GR, Fisher PM, Dyssegaard A, McMahon B, Holst KK, Lehel S, et al. Brain serotonin 4 receptor binding is associated with the cortisol awakening response. Psychoneuroendocrinology (2016) 67:124–32. 10.1016/j.psyneuen.2016.01.032
    1. Frokjaer VG, Erritzoe D, Holst KK, Jensen PS, Rasmussen PM, Fisher PM, et al. Prefrontal serotonin transporter availability is positively associated with the cortisol awakening response. Eur Neuropsychopharmacol (2013) 23(4):285–94. 10.1016/j.euroneuro.2012.05.013
    1. Vrshek-Schallhorn S, Doane LD, Mineka S, Zinbarg RE, Craske MG, Adam EK. The cortisol awakening response predicts major depression: Predictive stability over a 4-year follow-up and effect of depression history. Psychol Med (2013) 43(3):483–93. 10.1017/S0033291712001213
    1. Booij SH, Bouma EMC, De Jonge P, Ormel J, Oldehinkel AJ. Chronicity of depressive problems and the cortisol response to psychosocial stress in adolescents: The TRAILS study. Psychoneuroendocrinology (2013) 38(5):659–66. 10.1016/j.psyneuen.2012.08.004
    1. Ruhé HG, Khoenkhoen SJ, Ottenhof KW, Koeter MW, Mocking RJT, Schene AH. Longitudinal effects of the SSRI paroxetine on salivary cortisol in Major Depressive Disorder. Psychoneuroendocrinology (2015) 52:261–71. 10.1016/j.psyneuen.2014.10.024
    1. Timmerby N, Andersen JH, Søndergaard S, Østergaard SD, Bech P. Bech P. A Systematic Review of the Clinimetric Properties of the 6-Item Version of the Hamilton Depression Rating Scale (HAM-D6). Psychother Psychosom (2017) 86(3):141–9. 10.1159/000457131
    1. Fisher PM, Holst KK, Mc Mahon B, Haahr ME, Madsen K, Gillings N, et al. 5-HTTLPR status predictive of neocortical 5-HT 4 binding assessed with [11C]SB207145 PET in humans. Neuroimage (2012) 62(1):130–6. 10.1016/j.neuroimage.2012.05.013
    1. Knudsen GM, Jensen PS, Erritzoe D, Baaré W, Ettrup A, Fisher PM, et al. The Center for Integrated Molecular Brain Imaging (Cimbi) database. Neuroimage (2016) 124(Pt B):1213–9. 10.1016/j.neuroimage.2015.04.025
    1. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. In: J Clin Psychiatry (1998) 50(Suppl 20):22–57. 10.1016/S0924-9338(99)80239-9
    1. Olsen LR, Mortensen EL, Bech P. Prevalence of major depression and stress indicators in the Danish general population. Acta Psychiatr Scand (2004) 109(2):96–103. 10.1046/j.0001-690X.2003.00231.x
    1. Culpepper L. Escitalopram: A New SSRI for the Treatment of Depression in Primary Care. Prim Care Companion J Clin Psychiatry (2002) 4(6):209–14. 10.4088/PCC.v04n0601
    1. Bushnell GA, Stürmer T, Gaynes BN, Pate V, Miller M. Simultaneous antidepressant and benzodiazepine new use and subsequent long-term benzodiazepine use in adults with depression, United States, 2001-2014. JAMA Psychiatry (2017) 74(7):747–55. 10.1001/jamapsychiatry.2017.1273
    1. Marner L, Gillings N, Madsen K, Erritzoe D, Baaré WF, Svarer C, et al. Brain imaging of serotonin 4 receptors in humans with [11C]SB207145-PET. Neuroimage (2010) 50(3):855–61. 10.1016/j.neuroimage.2010.01.054
    1. Bymaster FP, Dreshfield-Ahmad LJ, Threlkeld PG, Shaw JL, Thompson L, Nelson DL, et al. Comparative affinity of duloxetine and venlafaxine for serotonin and norepinephrine transporters in vitro and in vivo, human serotonin receptor subtypes, and other neuronal receptors. Neuropsychopharmacology (2001) 25(6):871–80. 10.1016/S0893-133X(01)00298-6
    1. Lingjærde O, Ahlfors UG, Bech P, Dencker SJ, Elgen K. The UKU side effect rating scale: A new comprehensive rating scale for psychotropic drugs and a cross-sectional study of side effects in neuroleptic-treated patients. Acta Psychiatr Scand (1987) 334:1–100. 10.1111/j.1600-0447.1987.tb10566.x
    1. Marner L, Gillings N, Comley RA, Baaré WF, Rabiner EA, Wilson AA, et al. Kinetic Modeling of 11C-SB207145 Binding to 5-HT4 Receptors in the Human Brain In Vivo. J Nucl Med (2009) 50(6):900–8. 10.2967/jnumed.108.058552
    1. Sureau FC, Reader AJ, Comtat C, Leroy C, Ribeiro MJ, Buvat I, et al. Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph. J Nucl Med (2008) 49(6):1000–8. 10.2967/jnumed.107.045351
    1. Keller SH, Svarer C, Sibomana M. Attenuation correction for the HRRT PET-scanner using transmission scatter correction and total variation regularization. IEEE Trans Med Imaging (2013) 32(9):1611–21. 10.1109/TMI.2013.2261313
    1. Woods RP, Cherry SR, Mazziotta JC. Rapid automated algorithm for aligning and reslicing pet images. J Comput Assist Tomogr (1992) 16(4):620–33. 10.1097/00004728-199207000-00024
    1. Svarer C, Madsen K, Hasselbalch SG, Pinborg LH, Haugbøl S, Frøkjaer VG, et al. MR-based automatic delineation of volumes of interest in human brain PET images using probability maps. Neuroimage (2005) 24(4):969–79. 10.1016/j.neuroimage.2004.10.017
    1. Madsen K, Marner L, Haahr M, Gillings N, Knudsen GM. Mass dose effects and in vivo affinity in brain PET receptor studies - a study of cerebral 5-HT 4 receptor binding with [11C]SB207145. Nucl Med Biol (2011) 38(8):1085–91. 10.1016/j.nucmedbio.2011.04.006
    1. da Cunha-Bang S, Fisher PM, Hjordt LV, Perfalk E, Persson Skibsted A, Bock C, et al. Violent offenders respond to provocations with high amygdala and striatal reactivity. Soc Cognit Affect Neurosci (2017) 12(5):802–10. 10.1093/scan/nsx006
    1. Nikolova YS, Iruku SP, Lin C-W, Conley E D, Puralewski R, French B, et al. FRAS1-related extracellular matrix 3 (FREM3) single-nucleotide polymorphism effects on gene expression, amygdala reactivity and perceptual processing speed: An accelerated aging pathway of depression risk. Front Psychol (2015) 6:1377. 10.3389/fpsyg.2015.01377
    1. Forbes EE, Hariri AR, Martin SL, Silk JS, Moyles DL, Fisher PM, et al. Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. Am J Psychiatry (2009) 166(1):64–73. 10.1176/appi.ajp.2008.07081336
    1. Nikolova YS, Ferrell RE, Manuck SB, Hariri AR. Multilocus genetic profile for dopamine signaling predicts ventral striatum reactivity. Neuropsychopharmacology (2011) 36(9):1940–7. 10.1038/npp.2011.82
    1. Bland AR, Roiser JP, Mehta MA, Schei T, Boland H, Campbell-Meiklejohn DK, et al. EMOTICOM: A Neuropsychological Test Battery to Evaluate Emotion, Motivation, Impulsivity, and Social Cognition. Front Behav Neurosci (2016) 10:25. 10.3389/fnbeh.2016.00025
    1. Jensen CG, Hjordt LV, Stenbæk DS, Andersen E, Back SK, Lansner J, et al. Development and psychometric validation of the verbal affective memory test. Memory (2016) 24(9):1208–23. 10.1080/09658211.2015.1087573
    1. Costa P, McCrae R. (2008). The revised NEO personality inventory (NEO-PI-R). The SAGE Handbook of Personality Theory and Assessment. 2:179–98. 10.4135/9781849200479.n9
    1. Sanders B, Becker-Lausen E. The measurement of psychological maltreatment: Early data on the child abuse and trauma scale. Child Abus Negl (1995) 19(3):315–23. 10.1016/S0145-2134(94)00131-6
    1. Harrison EL, Baune BT. Modulation of early stress-induced neurobiological changes: A review of behavioural and pharmacological interventions in animal models. Transl Psychiatry (2014) 4(5):e390. 10.1038/tp.2014.31
    1. Oldfield RC. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia (1971) 9(1):97–113. 10.1016/0028-3932(71)90067-4
    1. Parker G, Tupling H. Brown LB. A Parental Bonding Instrument. Br J Med Psychol (1979) 52:1–10. 10.1111/j.2044-8341.1979.tb02487.x
    1. McNair DM, Lorr M, Droppleman LF.Revised manual for the Profile of Mood States. (San Diego, CA: Educational and Industrial Testing Services; ) (1992).
    1. Beck AT, Steer RA, Brown GK. Manual for the Beck depression inventory-II. San Antonio TX Psychol Corp (1996) 10.1037/t00742-000
    1. Forsell Y. The Major Depression Inventory versus schedules for clinical assessment in neuropsychiatry in a population sample. Soc Psychiatry Psychiatr Epidemiol (2005) 40(3):209–13. 10.1007/s00127-005-0876-3
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav (1983) 24(4):385–96. 10.2307/2136404
    1. Cohen S, Williamson G. Perceived stress in a probability sample of the United States. Soc Psychol Heal (1988) 31–67. 10.1111/j.1559-1816.1983.tb02325.x
    1. Snaith RP, Hamilton M, Morley S, Humayan A, Hargreaves D, Trigwell P. A scale for the assessment of hedonic tone. The Snaith-Hamilton Pleasure Scale. Br J Psychiatry (1995) 167(1):99–103. 10.1192/bjp.167.1.99
    1. Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: A psychometric analysis. Cognit Ther Res (2003) 27:247–59. 10.1023/A:1023910315561
    1. Clayton AH, McGarvey EL, Clavet GJ. The changes in sexual functioning questionnaire (CSFQ): Development, reliability, and validity. Psychopharmacol Bull (1997) 33(4):731–45.
    1. Eplov L, Giraldi A, Davidsen M, Garde K, Kamper-Jørgensen F. Sexual desire in a nationally representative danish population. J Sex Med (2007) 4(1):47–56. 10.1111/j.1743-6109.2006.00396.x
    1. Bech P. Rating scales in depression: Limitations and pitfalls. Dialogues Clin Neurosci (2006) 8(2):207–15.
    1. Dahl J, Ormstad H, Aass HCD, Malt UF, Bendz LT, Sandvik L, et al. The plasma levels of various cytokines are increased during ongoing depression and are reduced to normal levels after recovery. Psychoneuroendocrinology (2014) 45:77–86. 10.1016/j.psyneuen.2014.03.019
    1. Dowlati Y, Herrmann N, Swardfager W, Liu H, Sham L, Reim EK, et al. A Meta-Analysis of Cytokines in Major Depression. Biol Psychiatry (2010) 67(5):446–57. 10.1016/j.biopsych.2009.09.033
    1. Howren MB, Lamkin DM, Suls J. Associations of depression with c-reactive protein, IL-1, and IL-6: A meta-analysis. Psychosom Med (2009). 71(2):171–86. 10.1097/PSY.0b013e3181907c1b
    1. Liu Y, Ho RCM, Mak A. Interleukin (IL)-6, tumour necrosis factor alpha (TNF-α) and soluble interleukin-2 receptors (sIL-2R) are elevated in patients with major depressive disorder: A meta-analysis and meta-regression. J Affect Disord (2012). 139(3):230–9. 10.1016/j.jad.2011.08.003
    1. Tammiste A, Jiang T, Fischer K, Mägi R, Krjutškov K, Pettai K, et al. Whole-exome sequencing identifies a polymorphism in the BMP5 gene associated with SSRI treatment response in major depression. J Psychopharmacol (Oxford, England) (2013). 27(10):915–20. 10.1177/0269881113499829
    1. Uhr M, Tontsch A, Namendorf C, Ripke S, Lucae S, Ising M, et al. Polymorphisms in the Drug Transporter Gene ABCB1 Predict Antidepressant Treatment Response in Depression. Neuron (2008). 57(2):203–9. 10.1016/j.neuron.2007.11.017
    1. Rasmussen ST, Andersen JT, Nielsen TK, Cejvanovic V, Petersen KM, Henriksen T, et al. Simvastatin and oxidative stress in humans: A randomized, Double-blinded, Placebo-controlled clinical trial. Redox Biol (2016). 9:32–8. 10.1016/j.redox.2016.05.007
    1. Wood SN. Generalized Additive Models: An Introduction with R. 2nd ed. Taylor and Francis Inc. (2017). 10.1201/9781315370279.
    1. Fisher PM, Ozenne B, Svarer C, Adamsen D, Lehel S, Baaré WF, et al. BDNF val66met association with serotonin transporter binding in healthy humans. Transl Psychiatry (2017). 7(2):e1029. 10.1038/tp.2016.295
    1. Hastie TT. The Elements of Statistical Learning Second Edition. Math Intell (2017). 7:228–30. 10.1007/b94608_7
    1. Polley EC, van der Laan MJ. Super Learner In Prediction. U.C. Berkeley Division of Biostatistics Working Paper Series . (2010). Working Paper 266.
    1. Rush AJ, Fava M, Wisniewski SR, Lavori PW, Trivedi MH, Sackeim HA, et al. Sequenced treatment alternatives to relieve depression (STAR*D): Rationale and design. Control Clin Trials (2004). 25(1):119–42. 10.1016/S0197-2456(03)00112-0

Source: PubMed

3
Suscribir