Review on Neurophysiological Mechanisms of Depression

Authors

  • Zehong Xuan

DOI:

https://doi.org/10.54097/svhn1k35

Keywords:

Depression, Neurophysiological Mechanisms, Prefrontal-Limbic System, Brain Structure, Neuroinflammation, BDNF

Abstract

Depression is a common and highly disabling mental disorder, whose complex neurophysiological mechanisms have not been fully elucidated. Although the traditional monoaminergic neurotransmitter hypothesis laid the foundation for drug therapy, it fails to explain all its pathological phenomena. In recent years, with the development of neuroimaging and molecular biology techniques, research has gradually delved into multiple levels such as neural circuits, brain structure, and the immune system. This review aims to systematically organize the current mainstream research directions on the neurophysiological mechanisms of depression, focusing on the dysfunction of the prefrontal-limbic system circuit and its associated brain structural changes, as well as the central role of the neuroinflammation mechanism in the development of depression. Through integration and analysis of existing literature, we propose that depression is a syndrome resulting from the interaction of genetic susceptibility and environmental stress factors, leading to neural circuit dysfunction, neurotrophic imbalance, and immune system activation. A deeper understanding of future mechanisms will provide a key theoretical basis for developing novel, fast-acting antidepressant strategies.

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References

[1] Coppen, A. (1967). The biochemistry of affective disorders. British Journal of Psychiatry, 213(505), 1233–1237.

[2] Delgado, P. L., Charney, D. S., Price, L. H., Aghajanian, G. K., Landis, H., & Heninger, G. R. (1990). Serotonin and the neurobiology of depression. Effects of tryptophan depletion in drug-free depressed patients. Archives of General Psychiatry, 47(5), 411–418.

[3] Drevets, W. C., Price, J. L., & Furey, M. L. (2008). Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Structure and Function, 213(1-2), 93–118.

[4] Mayberg, H. S. (1997). Limbic-cortical dysregulation: a proposed model of depression. The Journal of Neuropsychiatry and Clinical Neurosciences, 9(3), 471–481.

[5] Miller, A. H., & Raison, C. L. (2016). The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nature Reviews Immunology, 16(1), 22–34.

[6] Schildkraut, J. J. (1965). The catecholamine hypothesis of affective disorders: a review of supporting evidence. American Journal of Psychiatry, 122(5), 509–522.

[7] World Health Organization. (2017). Depression and other common mental disorders: global health estimates. Geneva: World Health Organization.

[8] Hajima, S. V., Van Haren, N. E. M., Cahn, W., Koolschijn, P. C. M. P., Hulshoff Pol, H. E., & Kahn, R. S. (2013). Brain volumes in schizophrenia: a meta-analysis in over 18 000 subjects. Schizophrenia Bulletin, 39(5), 1129–1138.

[9] Nguyen, T.-V., Wu, M., Vickers, K. L., & Matuskey, D. (2021). Neurobiological and neuropsychiatric correlates of brain reward circuits in depression: A multimodal imaging review. Neuroscience & Biobehavioral Reviews, 131, 117–133.

[10] Ramirez-Mahaluf, J. P., Rojas, S., Mena, C., Tepper, Á., & Crossley, N. A. (2020). The role of the subgenual anterior cingulate cortex in dorsolateral prefrontal cortex activation during emotional working memory. NeuroImage, 220, 117100.

[11] Shatte, A. B. R., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine, 49(9), 1426–1448.

[12] Tendolkar, I., van Beek, M., van Oostrom, I., Mulder, M., Janzing, J., Voshaar, R. O., & van Eijndhoven, P. (2013). Electroconvulsive therapy increases hippocampal and amygdala volume in major depressive disorder: a longitudinal meta-analysis. Psychiatry Research: Neuroimaging, 214(3), 197–203.

[13] Dantzer, R., O'Connor, J. C., Lawson, M. A., & Kelley, K. W. (2011). Inflammation-associated depression: from serotonin to kynurenine. Psychoneuroendocrinology, 36(3), 426–436.

[14] Felger, J. C., Li, Z., Haroon, E., Woolwine, B. J., Jung, M. Y., Hu, X., & Miller, A. H. (2016). Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Molecular Psychiatry, 21(10), 1358–1365.

[15] Haapakoski, R., Mathieu, J., Ebmeier, K. P., Alenius, H., & Kivimäki, M. (2015). Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in depression. Brain, Behavior, and Immunity, 49, 206–215.

[16] Holmes, S. E., Hinz, R., Conen, S., Gregory, C. J., Matthews, J. C., Anton-Rodriguez, J. M., ... & Talbot, P. S. (2018). Elevated translocator protein in anterior cingulate in major depression and a role for inflammation in suicidal thinking: a positron emission tomography study. Biological Psychiatry, 83(1), 61–69.

[17] Köhler-Forsberg, O., N Lydholm, C., Hjorthøj, C., Nordentoft, M., Mors, O., & Benros, M. E. (2019). Efficacy of anti-inflammatory treatment on major depressive disorder or depressive symptoms: a meta-analysis of clinical trials. Acta Psychiatrica Scandinavica, 139(5), 404–419.

[18] Raison, C. L., Borisov, A. S., Broadwell, S. D., Capuron, L., Woolwine, B. J., Jacobson, I. M., ... & Miller, A. H. (2009). Activation of central nervous system inflammatory pathways by interferon-alpha: relationship to monoamines and depression. Biological Psychiatry, 65(4), 296–303.

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Published

26-11-2025

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