δ_EPCD: the electrophysiologic coefficient of depressiveness

References

• Arnone, D., et al., 2013. State-dependent changes in hippocampal grey matter in depression. Molecular psychiatry, 18 (12), 1265–1272.
   PubMed Web of Science ®Google Scholar
• Bay-Richter, C., et al., 2015. A role for inflammatory metabolites as modulators of the glutamate N-methyl-D-aspartate receptor in depression and suicidality. Brain, behavior, and immunity, 43, 110–117.
   PubMed Web of Science ®Google Scholar
• Bilici, M., et al., 2001. Antioxidative enzyme activities and lipid peroxidation in major depression: alterations by antidepressant treatments. Journal of affective disorders, 64 (1), 43–51.
   PubMed Web of Science ®Google Scholar
• Brunoni, A.R., et al., 2013. Heart rate variability is a trait marker of major depressive disorder: evidence from the sertraline vs. electric current therapy to treat depression clinical study. The international journal of neuropsychopharmacology, 16 (9), 1937–1949.
   PubMed Web of Science ®Google Scholar
• Carney, R.M., and Freedland, K.E., 2009. Depression and heart rate variability in patients with coronary heart disease. Cleveland clinic journal of medicine, 76 (Suppl 2), S13–S17.
   PubMedGoogle Scholar
• Carvalho, A.F., et al., 2016. Bias in peripheral depression biomarkers. Psychotherapy and psychosomatics, 85 (2), 81–90.
   PubMed Web of Science ®Google Scholar
• Castrén, E., and Kojima, M., 2017. Brain-derived neurotrophic factor in mood disorders and antidepressant treatments. Neurobiology of disease, 97 (Pt B), 119–126.
   PubMedGoogle Scholar
• Chen, Y., and Guillemin, G.J., 2009. Kynurenine pathway metabolites in humans: disease and healthy States. International journal of tryptophan research, 2, 1–19.
   PubMed Web of Science ®Google Scholar
• Dehhaghi, M., Kazemi Shariat Panahi, H., and Guillemin, G.J., 2019. Microorganisms, tryptophan metabolism, and Kynurenine pathway: a complex interconnected loop influencing human health status. International journal of tryptophan research, 12, 1178646919852996.
   Web of Science ®Google Scholar
• Dunn, L.B., 2018. Biomarkers in psychiatry: ethical issues. Focus, 16 (2), 179–182.
   PubMedGoogle Scholar
• Erhardt, S., et al., 2013. Connecting inflammation with glutamate agonism in suicidality. Neuropsychopharmacology, 38 (5), 743–752.
   PubMed Web of Science ®Google Scholar
• Fabbri, C., et al., 2017. Consensus paper of the WFSBP Task Force on Genetics: genetics, epigenetics and gene expression markers of major depressive disorder and antidepressant response. The world journal of biological psychiatry, 18 (1), 5–28.
   PubMed Web of Science ®Google Scholar
• Farb, N.A., et al., 2011. Mood-linked responses in medial prefrontal cortex predict relapse in patients with recurrent unipolar depression. Biological psychiatry, 70 (4), 366–372.
   PubMed Web of Science ®Google Scholar
• Fiol-Veny, A., et al., 2018. Altered heart rate regulation in adolescent girls and the vulnerability for internalizing disorders. Frontiers in physiology 9, 852.
   PubMed Web of Science ®Google Scholar
• Fischer, S., et al., 2017. Cortisol as a predictor of psychological therapy response in depressive disorders: systematic review and meta-analysis. The British journal of psychiatry, 210 (2), 105–109.
   PubMed Web of Science ®Google Scholar
• Foland-Ross, L.C., et al., 2015. Cortical thickness predicts the first onset of major depression in adolescence. International journal of developmental neuroscience, 46, 125–131.
   PubMed Web of Science ®Google Scholar
• Forkmann, T., et al., 2016. Resting vagal tone is negatively associated with suicide ideation. Journal of affective disorders, 194, 30–32.
   PubMed Web of Science ®Google Scholar
• García-Gutiérrez, M.S., et al., 2020. Biomarkers in psychiatry: concept, definition, types and relevance to the clinical reality. Frontiers in psychiatry, 11, 432.
   PubMed Web of Science ®Google Scholar
• Gottfries, C.G., 1997. Recognition and management of depression in the elderly. International clinical psychopharmacology, 12 Suppl 7 (7), S31–S36.
   PubMedGoogle Scholar
• Goh, Z.S., and Griva, K., 2018. Anxiety and depression in patients with end-stage renal disease: impact and management challenges – a narrative review. International journal of nephrology and renovascular disease, 11, 93–102.
   PubMed Web of Science ®Google Scholar
• Haapakoski, R., et al., 2015. Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in patients with major depressive disorder. Brain behav immun, 49, 206–215.
   PubMed Web of Science ®Google Scholar
• Hacimusalar, Y., and Eşel, E., 2018. Suggested biomarkers for major depressive disorder. Noro psikiyatri arsivi, 55 (3), 280–290.
   PubMedGoogle Scholar
• He, L., and Hannon, G.J., 2004. MicroRNAs: small RNAs with a big role in gene regulation. Nature reviews. Genetics, 5 (7), 522–531.
   PubMed Web of Science ®Google Scholar
• Ihara, K., et al., 2016. Serum BDNF levels before and after the development of mood disorders: a case-control study in a population cohort. Translational psychiatry, 6 (4), e782.
   PubMedGoogle Scholar
• Määttänen, I., et al., 2019. Understanding depressive symptoms through psychological traits and physiological stress reactivity. Cogent psychology, 6 (1), 1575654.
   Web of Science ®Google Scholar
• Kan, C., et al., 2013. A systematic review and meta-analysis of the association between depression and insulin resistance. Diabetes care, 36 (2), 480–489.
   PubMed Web of Science ®Google Scholar
• Kang, H.J., et al., 2013. Association of SLC6A4 methylation with early adversity, characteristics and outcomes in depression. Progress in neuro-psychopharmacology & biological psychiatry, 44, 23–28.
   PubMed Web of Science ®Google Scholar
• Kaufman, J., et al., 2016. The 5-HT1A receptor in major depressive disorder. European neuropsychopharmacology, 26 (3), 397–410.
   PubMed Web of Science ®Google Scholar
• Kemp, A.H., et al., 2010. Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis. Biological psychiatry., 67 (11), 1067–1074.
   PubMed Web of Science ®Google Scholar
• Kennis, M., et al., 2020. Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis. Molecular psychiatry, 25 (2), 321–338.
   PubMed Web of Science ®Google Scholar
• Kiank, C., et al., 2010. Psychological stress-induced, IDO1-dependent tryptophan catabolism: implications on immunosuppression in mice and humans. PLoS one, 5 (7), e11825.
   PubMed Web of Science ®Google Scholar
• Kim, H.G., et al., 2018. Stress and heart rate variability: a meta-analysis and review of the literature. Psychiatry investigation, 15 (3), 235–245.
   PubMed Web of Science ®Google Scholar
• Kobrosly, R.W., et al., 2014. Depressive symptoms are associated with allostatic load among community-dwelling older adults. Physiology & behavior, 123, 223–230.
   PubMed Web of Science ®Google Scholar
• Koch, C., et al., 2019. A meta-analysis of heart rate variability in major depression. Psychological medicine, 49 (12), 1910–1948.
   Web of Science ®Google Scholar
• Koenig, J., et al., 2016. Depression and resting state heart rate variability in children and adolescents – a systematic review and meta-analysis. Clinical psychology review, 46, 136–150.
   PubMed Web of Science ®Google Scholar
• Köhler, O., et al., 2014. Effect of anti-inflammatory treatment on depression, depressive symptoms, and adverse effects: a systematic review and meta-analysis of randomized clinical trials. JAMA psychiatry, 71 (12), 1381–1391.
   PubMed Web of Science ®Google Scholar
• Kotan, V.O., et al., 2011. Effects of long-term antidepressant treatment on oxidative status in major depressive disorder: a 24-week follow-up study. Progress in neuro-psychopharmacology & biological psychiatry, 35 (5), 1284–1290.
   PubMed Web of Science ®Google Scholar
• Laborde, S., Mosley, E., and Thayer, J.F., 2017. Heart rate variability and cardiac vagal tone in psychophysiological research – recommendations for experiment planning, data analysis, and data reporting. Frontiers in psychology, 8, 213.
   PubMed Web of Science ®Google Scholar
• Lin, Y., et al., 2015. Resting respiratory sinus arrhythmia is related to longer hospitalization in mood-disordered repetitive suicide attempters. The world journal of biological psychiatry, 16 (5), 323–333.
   PubMed Web of Science ®Google Scholar
• Liu, H., et al., 2018. The metabolic factor Kynurenic acid of Kynurenine pathway predicts major depressive disorder. Frontiers in psychiatry., 9, 552.
   PubMed Web of Science ®Google Scholar
• Lu, X.Y., 2007. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Current opinion in pharmacology, 7 (6), 648–652.
   PubMed Web of Science ®Google Scholar
• Lythe, K.E., et al., 2015. Self-blame-selective hyperconnectivity between anterior temporal and subgenual cortices and prediction of recurrent depressive episodes. JAMA psychiatry, 72 (11), 1119–1126.
   PubMed Web of Science ®Google Scholar
• Mayeux, R., 2004. Biomarkers: potential uses and limitations. NeuroRx, 1 (2), 182–188.
   PubMedGoogle Scholar
• Molendijk, M.L., et al., 2014. Serum BDNF concentrations as peripheral manifestations of depression: evidence from a systematic review and meta-analyses on 179 associations (N = 9484). Molecular psychiatry, 19 (7), 791–800.
   PubMed Web of Science ®Google Scholar
• Mössner, R., et al., 2007. Consensus paper of the WFSBP Task Force on Biological Markers: biological markers in depression. The world journal of biological psychiatry, 8 (3), 141–174.
   PubMed Web of Science ®Google Scholar
• Muneer, A., 2016. Staging models in bipolar disorder: a systematic review of the literature. Clinical psychopharmacology and neuroscience, 14 (2), 117–130.
   PubMed Web of Science ®Google Scholar
• Nandam, L.S., et al., 2019. Cortisol and major depressive disorder-translating findings from humans to animal models and back. Frontiers in psychiatry, 10, 974.
   PubMed Web of Science ®Google Scholar
• Naylor, S., 2003. Biomarkers: current perspectives and future prospects. Expert review of molecular diagnostics, 3 (5), 525–529.
   PubMed Web of Science ®Google Scholar
• Ogyu, K., et al., 2018. Kynurenine pathway in depression: a systematic review and meta-analysis. Neuroscience and biobehavioral reviews, 90, 16–25.
   PubMed Web of Science ®Google Scholar
• Paniccia, M., et al., 2017. Clinical and non-clinical depression and anxiety in young people: a scoping review on heart rate variability. Autonomic neuroscience: basic & clinical, 208, 1–14.
   PubMed Web of Science ®Google Scholar
• Réus, G.Z., et al., 2015. Kynurenine pathway dysfunction in the pathophysiology and treatment of depression: evidences from animal and human studies. Journal of psychiatric research, 68, 316–328.
   PubMed Web of Science ®Google Scholar
• Roth, T.L., et al., 2009. Lasting epigenetic influence of early-life adversity on the BDNF gene. Biological psychiatry, 65 (9), 760–769.
   PubMed Web of Science ®Google Scholar
• Savitz, J., et al., 2015a. Putative neuroprotective and neurotoxic Kynurenine pathway metabolites are associated with hippocampal and amygdalar volumes in subjects with major depressive disorder. Neuropsychopharmacology, 40 (2), 463–471.
   PubMed Web of Science ®Google Scholar
• Savitz, J., et al., 2015b. Reduction of kynurenic acid to quinolinic acid ratio in both the depressed and remitted phases of major depressive disorder. Brain, behavior, and immunity, 46, 55–59.
   PubMed Web of Science ®Google Scholar
• Schmidt, H.D., Shelton, R.C., and Duman, R.S., 2011. Functional biomarkers of depression: diagnosis, treatment, and pathophysiology. Neuropsychopharmacology, 36 (12), 2375–2394.
   PubMed Web of Science ®Google Scholar
• Schiweck, C., et al., 2019. Heart rate and high frequency heart rate variability during stress as biomarker for clinical depression. A systematic review. Psychological medicine, 49 (2), 200–211.
   PubMed Web of Science ®Google Scholar
• Schneider, B., and Prvulovic, D., 2013. Novel biomarkers in major depression. Current opinion in psychiatry, 26 (1), 47–53.
   PubMed Web of Science ®Google Scholar
• Schwieler, L., et al., 2016. Electroconvulsive therapy suppresses the neurotoxic branch of the Kynurenine pathway in treatment-resistant depressed patients. Journal of neuroinflammation, 13 (1), 51.
   PubMedGoogle Scholar
• Strawbridge, R., Young, A.H., and Cleare, A.J., 2017. Biomarkers for depression: recent insights, current challenges and future prospects. Neuropsychiatric disease and treatment, 13, 1245–1262.
   PubMed Web of Science ®Google Scholar
• Unützer, J., and Park, M., 2012. Strategies to improve the management of depression in primary care. Primary care, 39 (2), 415–431.
   PubMed Web of Science ®Google Scholar
• Van Zyl, L.T., Hasegawa, T., and Nagata, K., 2008. Effects of antidepressant treatment on heart rate variability in major depression: a quantitative review. BioPsychoSocial medicine, 2, 12.
   PubMedGoogle Scholar
• Weaver, I.C., et al., 2004. Epigenetic programming by maternal behavior. Nature neuroscience, 7 (8), 847–854.
   PubMed Web of Science ®Google Scholar
• Weinstein, A.A., Deuster, P.A., and Kop, W.J., 2007. Heart rate variability as a predictor of negative mood symptoms induced by exercise withdrawal. Medicine & science in sports & exercise, 39 (4), 735–741.
   PubMed Web of Science ®Google Scholar
• Yan, B., et al., 2020. Quantitative identification of major depression based on resting-state dynamic functional connectivity: a machine learning approach. Frontiers in neuroscience, 14, 191.
   PubMed Web of Science ®Google Scholar
• Wittekind, D.A., and Kluge, M., 2015. Ghrelin in psychiatric disorders – a review. Psychoneuroendocrinology, 52, 176–194.
   PubMed Web of Science ®Google Scholar
• Yaroslavsky, I., et al., 2016. Parasympathetic nervous system activity predicts mood repair use and its effectiveness among adolescents with and without histories of major depression. Journal of abnormal psychology, 125 (3), 323–336.
   PubMed Web of Science ®Google Scholar