Advances in the Study of Brain Development in Psychiatric Disorders
DOI:
https://doi.org/10.61173/g20xer58Keywords:
Neurophysiological, Fasciculus, Benzodiazepines, Neuron, SubcorticalAbstract
Depression and anxiety disorders are prevalent mental illnesses, and their aetiology is intricate and remains incompletely elucidated. In recent years, researchers in both domestic and international settings have conducted a substantial amount of research on the pathological mechanisms and treatment methods of depression and anxiety disorders. This paper presents a summary of the pathogenesis of depression from the perspective of brain function and structure. It identifies abnormalities in brain regions, including the hippocampus and prefrontal lobe, as being closely related to the condition. These abnormalities are manifested in a reduction in cortical area and volume, as well as impairment of neuronal morphology and ultrastructure in these brain regions. Furthermore, patients with depression are frequently linked to diminished cerebral blood flow, reduced metabolism, aberrant brain network connections and an imbalance in neurophysiological activity. In contrast, patients with anxiety disorders display functional abnormalities in the amygdala, default mode network, cognitive control network and motivational network. These clinical studies have provided new ideas for treatment, and many of them have proposed innovative treatment concepts that are worthy of further investigation and application in clinical practice. This article provides a summary of the progress of research on the brain mechanisms of depression and anxiety disorders, with the aim of providing a reference for their diagnosis and treatment. Further in-depth study of brain function and structural abnormalities in these disorders may facilitate the development of more effective treatments, thereby improving the quality of life of patients.References
[1] Wilson, J. F., & Christensen, K. M. (2012). The relationship between outdoor recreation and depression among individuals with disabilities. Journal of Leisure Research, 44(4), 486-506.
[2] Kessler, R. C., Ormel, J., Petukhova, M., McLaughlin, K. A., Green, J. G., Russo, L. J., ... & Uestuen, T. B. (2011). Development of lifetime comorbidity in the World Health Organization world mental health surveys. Archives of general psychiatry, 68(1), 90-100.
[3] Fusar-Poli, P. (2021). Age at onset of mental disorders worldwide: large scale meta-analysis of epidemiological studies. Molecular Psychiatry.
[4] Mann, D. B., Laitman, L. B., & Davis, K. L. (1989). Dementia with coexistent major depression. Am J Psychiatry, 146, 1472-1478.
[5] Kennis, M., Gerritsen, L., van Dalen, M., Williams, A., Cuijpers, P., & Bockting, C. (2020). Prospective biomarkers of major depressive disorder: a systematic review and metaanalysis. Molecular psychiatry, 25(2), 321-338.
[6] Han, K. M., Kim, A., Kang, W., Kang, Y., Kang, J., Won, E., ... & Ham, B. J. (2019). Hippocampal subfield volumes in major depressive disorder and bipolar disorder. European Psychiatry, 57, 70-77.
[7] Sarabdjitsingh, R. A., Loi, M., Joëls, M., Dijkhuizen, R. M., & Van Der Toorn, A. (2017). Early life stress-induced alterations in rat brain structures measured with high resolution MRI. PLoS One, 12(9), e0185061.
[8] Zhang, L., Hu, X., Hu, Y., Tang, M., Qiu, H., Zhu, Z., ... & Ji, W. (2022). Structural covariance network of the hippocampus– amygdala complex in medication-naïve patients with firstepisode major depressive disorder. Psychoradiology, 2(4), 190- 198.
[9] Zhang, L., Hu, X., Hu, Y., Tang, M., Qiu, H., Zhu, Z., ... & Ji, W. (2022). Structural covariance network of the hippocampus– amygdala complex in medication-naïve patients with firstepisode major depressive disorder. Psychoradiology, 2(4), 190- 198.
[10] Wang, H., He, Y., Sun, Z., Ren, S., Liu, M., Wang, G., & Yang, J. (2022). Microglia in depression: an overview of microglia in the pathogenesis and treatment of depression. Journal of neuroinflammation, 19(1), 132.
[11] Zhou, B., Zhu, Z., Ransom, B. R., & Tong, X. (2021). Oligodendrocyte lineage cells and depression. Molecular psychiatry, 26(1), 103-117.
[12] Fries, G. R., Saldana, V. A., Finnstein, J., & Rein, T. (2023). Molecular pathways of major depressive disorder converge on the synapse. Molecular Psychiatry, 28(1), 284-297.
[13] Tang, C., Zhang, Y., Zhai, Z., Zhu, X., Wang, C., & Yang, G. (2022). [Retracted] Mechanism of Depression through Brain Function Imaging of Depression Patients and Normal People. Journal of Healthcare Engineering, 2022(1), 1125049.
[14] Kang, S. G., & Cho, S. E. (2020). Neuroimaging biomarkers for predicting treatment response and recurrence of major depressive disorder. International journal of molecular sciences, 21(6), 2148.
[15] Fox, M. E., & Lobo, M. K. (2019). The molecular and cellular mechanisms of depression: a focus on reward circuitry. Molecular psychiatry, 24(12), 1798-1815.
[16] Vulser, H., Paillère Martinot, M. L., Artiges, E., Miranda, R., Penttilä, J., Grimmer, Y., ... & IMAGEN Consortium. (2018). Early variations in white matter microstructure and depression outcome in adolescents with subthreshold depression. American Journal of Psychiatry, 175(12), 1255-1264.
[17] Chin Fatt, C. R., Jha, M. K., Cooper, C. M., Fonzo, G., South, C., Grannemann, B., ... & Trivedi, M. H. (2020). Effect of intrinsic patterns of functional brain connectivity in moderating antidepressant treatment response in major depression. American Journal of Psychiatry, 177(2), 143-154.
[18] Gudayol-Ferré, E., Peró-Cebollero, M., González- Garrido, A. A., & Guàrdia-Olmos, J. (2015). Changes in brain connectivity related to the treatment of depression measured through fMRI: a systematic review. Frontiers in human neuroscience, 9, 582. Dean&Francis Wenxuan Zhang
[19] Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015). Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA psychiatry, 72(6), 603-611.
[20] Liu, J., Fan, Y., Zeng, L. L., Liu, B., Ju, Y., Wang, M., ... & Li, L. (2021). The neuroprogressive nature of major depressive disorder: evidence from an intrinsic connectome analysis. Translational Psychiatry, 11(1), 102.
[21] Zhang, J., Liu, D., Zhong, D., Li, Y., Jin, R., Zheng, Z., & Li, J. (2021). Specificity study of visualization analysis of electroencephalogram diagnosis of depression based on CiteSpace. Sheng wu yi xue Gong Cheng xue za zhi= Journal of Biomedical Engineering= Shengwu Yixue Gongchengxue Zazhi, 38(5), 919-931.
[22] de Aguiar Neto, F. S., & Rosa, J. L. G. (2019). Depression biomarkers using non-invasive EEG: A review. Neuroscience & Biobehavioral Reviews, 105, 83-93.
[23] Dolsen, E. A., Cheng, P., Arnedt, J. T., Swanson, L., Casement, M. D., Kim, H. S., ... & Deldin, P. J. (2017). Neurophysiological correlates of suicidal ideation in major depressive disorder: hyperarousal during sleep. Journal of affective disorders, 212, 160-166.
[24] Lee, P. F., Kan, D. P. X., Croarkin, P., Phang, C. K., & Doruk, D. (2018). Neurophysiological correlates of depressive symptoms in young adults: a quantitative EEG study. Journal of Clinical Neuroscience, 47, 315-322.
[25] Nelson, B. D., Kessel, E. M., Klein, D. N., & Shankman, S. A. (2018). Depression symptom dimensions and asymmetrical frontal cortical activity while anticipating reward. Psychophysiology, 55(1), e12892.
[26] Nusslock, R., Shackman, A. J., McMenamin, B. W., Greischar, L. L., Davidson, R. J., & Kovacs, M. (2018). Comorbid anxiety moderates the relationship between depression history and prefrontal EEG asymmetry. Psychophysiology, 55(1), e12953.
[27] Spironelli, C., Maffei, A., Romeo, Z., Piazzon, G., Padovan, G., Magnolfi, G., ... & Angrilli, A. (2020). Evidence of languagerelated left hypofrontality in major depression: An EEG beta band study. Scientific reports, 10(1), 8166.
[28] Caulfield, K. A. (2020). Is accelerated, high-dose theta burst stimulation a panacea for treatment-resistant depression?. Journal of neurophysiology, 123(1), 1-3.
[29] Fitzgerald, P. J., & Watson, B. O. (2018). Gamma oscillations as a biomarker for major depression: an emerging topic. Translational psychiatry, 8(1), 177.
[30] Liu, M., Zhou, L., Wang, X., Jiang, Y., & Liu, Q. (2017). Deficient manipulation of working memory in remitted depressed individuals: Behavioral and electrophysiological evidence. Clinical Neurophysiology, 128(7), 1206-1213.
[31] Burkhouse, K. L., Owens, M., Feurer, C., Sosoo, E., Kudinova, A., & Gibb, B. E. (2017). Increased neural and pupillary reactivity to emotional faces in adolescents with current and remitted major depressive disorder. Social cognitive and affective neuroscience, 12(5), 783-792.
[32] Klumpp, H., & Shankman, S. A. (2018). Using event-related potentials and startle to evaluate time course in anxiety and depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(1), 10-18.
[33] Ruohonen, E. M., Alhainen, V., & Astikainen, P. (2020). Event-related potentials to task-irrelevant sad faces as a state marker of depression. Biological Psychology, 149, 107806.
[34] Karrouri, R., Hammani, Z., Benjelloun, R., & Otheman, Y. (2021). Major depressive disorder: Validated treatments and future challenges. World journal of clinical cases, 9(31), 9350.
[35] Cui, L., Li, S., Wang, S. et al. Major depressive disorder: hypothesis, mechanism, prevention and treatment. Sig Transduct Target Ther 9, 30 (2024). Njenga, C., Ramanuj, P. P., de Magalhães, F. J. C., & Pincus, H. A. (2024). New and emerging treatments for major depressive disorder. bmj, 386.
[36] Njenga, C., Ramanuj, P. P., de Magalhães, F. J. C., & Pincus, H. A. (2024). New and emerging treatments for major depressive disorder. bmj, 386.
[37] Upthegrove, R., Marwaha, S., Palmer, E., Cons, E., Young, A. H., & Suppes, T. (2022). Novel and emerging treatments for major depression. The Lancet, 400(10357), 977-994.
[38] Cipriani, A., Furukawa, T. A., Salanti, G., Chaimani, A., Atkinson, L. Z., Ogawa, Y., ... & Leucht, S. (2018). Pharmacological treatment of depression: A systematic review and network meta-analysis. The Lancet, 391(10128), 1603-1613.
[39] Cuijpers, P., Weitz, E., van Straten, A., & Andersson, G. (2014). Psychological treatment of depression: A meta-analysis. Canadian Journal of Psychiatry, 59(4), 174-183.
[40] Schuch, F. B., Vasconcelos-Moreno, M. P., Faria, M. B., Borowsky, R., McIntyre, R. S., & Brunoni, A. R. (2020). Exercise interventions for the prevention of depression: A systematic review and meta-analysis. JAMA Psychiatry, 77(11), 1132-1142.
[41] Herraiz, J., Serrano-Blanco, A., & Haro, J. M. (2023). Lifestyle psychiatry for depression and anxiety: Beyond diet and exercise. The Lancet Psychiatry, 10(4), 311-323.
[42] Leergaard, T. B., Hilgetag, C. C., & Sporns, O. (2012). Mapping the connectome: multi-level analysis of brain connectivity. Frontiers in neuroinformatics, 6, 14.
[43] Bickart, K. C., Dickerson, B. C., & Barrett, L. F. (2014). The amygdala as a hub in brain networks that support social life. Neuropsychologia, 63, 235-248.
[44] Yamamoto, A., & Yue, Z. (2014). Autophagy and its normal and pathogenic states in the brain. Annual review of neuroscience, 37(1), 55-78.
[45] Etkin, A., & Wager, T. D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. American journal of Psychiatry, 164(10), 1476-1488.
[46] Felix-Ortiz, A. C., Beyeler, A., Seo, C., Leppla, C. A., Dean&Francis ISSN 2959-409X Wildes, C. P., & Tye, K. M. (2013). BLA to vHPC inputs modulate anxiety-related behaviors. Neuron, 79(4), 658-664.
[47] Liao, W., Qiu, C., Gentili, C., Walter, M., Pan, Z., Ding, J., ... & Chen, H. (2010). Altered effective connectivity network of the amygdala in social anxiety disorder: a resting-state FMRI study. PloS one, 5(12), e15238.
[48] Brothers, L., Ring, B., & Kling, A. (1990). Response of neurons in the macaque amygdala to complex social stimuli. Behavioural brain research, 41(3), 199-213.
[49] Gilboa-Schechtman, E., Franklin, M. E., & Foa, E. B. (2000). Anticipated reactions to social events: Differences among individuals with generalized social phobia, obsessive compulsive disorder, and nonanxious controls. Cognitive Therapy and Research, 24, 731-746.
[50] Tanovic, E., Gee, D. G., & Joormann, J. (2018). Intolerance of uncertainty: Neural and psychophysiological correlates of the perception of uncertainty as threatening. Clinical psychology review, 60, 87-99.
[51] Grupe, D. W., & Nitschke, J. B. (2013). Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective. Nature Reviews Neuroscience, 14(7), 488-501.
[52] Stolyarova, A., Rakhshan, M., Hart, E. E., O’Dell, T. J., Peters, M. A. K., Lau, H., ... & Izquierdo, A. (2019). Contributions of anterior cingulate cortex and basolateral amygdala to decision confidence and learning under uncertainty. Nature communications, 10(1), 4704.
[53] Allan, N. P., Cooper, D., Oglesby, M. E., Short, N. A., Saulnier, K. G., & Schmidt, N. B. (2018). Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model. Journal of anxiety disorders, 53, 91-99.
[54] Shapiro, M. O., Gros, D. F., & McCabe, R. E. (2020). Intolerance of uncertainty and social anxiety while utilizing a hybrid approach to symptom assessment. International Journal of Cognitive Therapy, 13, 189-202.
[55] Suárez, L., Bennett, S. M., Goldstein, C., & Barlow, D. H. (2009). Understanding anxiety disorders from a “triple vulnerability” framework. Oxford handbook of anxiety and related disorders, 153-172.
[56] Tetereva, A. O., Balaev, V. V., Kartashov, S. I., Ushakov, V. L., Ivanitsky, A. M., & Martynova, O. V. (2020). Asymmetry of amygdala resting-state functional connectivity in healthy human brain. Neuroreport, 31(1), 17-21.
[57] Doucet, G. E., Janiri, D., Howard, R., O’Brien, M., Andrews-Hanna, J. R., & Frangou, S. (2020). Transdiagnostic and disease-specific abnormalities in the default-mode network hubs in psychiatric disorders: A meta-analysis of resting-state functional imaging studies. European Psychiatry, 63(1), e57.
[58] Amft, M., Bzdok, D., Laird, A. R., Fox, P. T., Schilbach, L., & Eickhoff, S. B. (2015). Definition and characterization of an extended social-affective default network. Brain Structure and Function, 220, 1031-1049.
[59] Amft, M., Bzdok, D., Laird, A. R., Fox, P. T., Schilbach, L., & Eickhoff, S. B. (2015). Definition and characterization of an extended social-affective default network. Brain Structure and Function, 220, 1031-1049.
[60] Wells, A., & Papageorgiou, C. (2001). Social phobic interoception: Effects of bodily information on anxiety, beliefs and self-processing. Behaviour research and therapy, 39(1), 1-11.
[61] Talmon, A., Dixon, M. L., Goldin, P. R., Heimberg, R. G., & Gross, J. J. (2021). Neurocognitive heterogeneity in social anxiety disorder: The role of self-referential processing and childhood maltreatment. Clinical Psychological Science, 9(6), 1045-1058.
[62] Blair, K., Geraci, M., Devido, J., McCaffrey, D., Chen, G., Vythilingam, M., ... & Pine, D. S. (2008). Neural response to self-and other referential praise and criticism in generalized social phobia. Archives of general psychiatry, 65(10), 1176- 1184.
[63] Goldin, P. R., & Gross, J. J. (2010). Effects of mindfulnessbased stress reduction (MBSR) on emotion regulation in social anxiety disorder. Emotion, 10(1), 83.
[64] Heitmann, C. Y., Feldker, K., Neumeister, P., Zepp, B. M., Peterburs, J., Zwitserlood, P., & Straube, T. (2016). Abnormal brain activation and connectivity to standardized disorder‐ related visual scenes in social anxiety disorder. Human Brain Mapping, 37(4), 1559-1572.
[65] Heitmann, C. Y., Feldker, K., Neumeister, P., Brinkmann, L., Schrammen, E., Zwitserlood, P., & Straube, T. (2017). Brain activation to task-irrelevant disorder-related threat in social anxiety disorder: The impact of symptom severity. NeuroImage: Clinical, 14, 323-333.
[66] Yoon, H. J., Seo, E. H., Kim, J. J., & Choo, I. H. (2019). Neural correlates of self-referential processing and their clinical implications in social anxiety disorder. Clinical Psychopharmacology and Neuroscience, 17(1), 12.
[67] Qiu, C., Liao, W., Ding, J., Feng, Y., Zhu, C., Nie, X., ... & Gong, Q. (2011). Regional homogeneity changes in social anxiety disorder: a resting-state fMRI study. Psychiatry Research: Neuroimaging, 194(1), 47-53.
[68] Liu, F., Zhu, C., Wang, Y., Guo, W., Li, M., Wang, W., ... & Chen, H. (2015). Disrupted cortical hubs in functional brain networks in social anxiety disorder. Clinical Neurophysiology, 126(9), 1711-1716.
[69] Kan, S., & Miyauchi, S. (2018). Cortical Midline Structures:” Self” and” Pain”. Brain and Nerve= Shinkei Kenkyu no Shinpo, 70(3), 247-252.
[70] Breukelaar, I. A., Antees, C., Grieve, S. M., Foster, S. L., Gomes, L., Williams, L. M., & Korgaonkar, M. S. (2017). Cognitive control network anatomy correlates with neurocognitive behavior: A longitudinal study. Human brain mapping, 38(2), 631-643.
[71] Mao, Y., Zuo, X. N., Ding, C., & Qiu, J. (2020). OFC and Dean&Francis Wenxuan Zhang its connectivity with amygdala as predictors for future social anxiety in adolescents. Developmental cognitive neuroscience, 44, 100804.
[72] Klumpp, H., Roberts, J., Kennedy, A. E., Shankman, S. A., Langenecker, S. A., Gross, J. J., & Phan, K. L. (2017). Emotion regulation related neural predictors of cognitive behavioral therapy response in social anxiety disorder. Progress in Neuro- Psychopharmacology and Biological Psychiatry, 75, 106-112.
[73] Goldin, P. R., Manber, T., Hakimi, S., Canli, T., & Gross, J. J. (2009). Neural bases of social anxiety disorder: emotional reactivity and cognitive regulation during social and physical threat. Archives of general psychiatry, 66(2), 170-180.
[74] Aday, J., & Carlson, J. M. (2017). Structural MRI-based measures of neuroplasticity in an extended amygdala network as a target for attention bias modification treatment outcome. Medical hypotheses, 109, 6-16.
[75] Sandman, C. F., Young, K. S., Burklund, L. J., Saxbe, D. E., Lieberman, M. D., & Craske, M. G. (2020). Changes in functional connectivity with cognitive behavioral therapy for social anxiety disorder predict outcomes at follow-up. Behaviour research and therapy, 129, 103612.
[76] Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N., Heimberg, R. G., & Gross, J. J. (2020). Emotion regulation in social anxiety disorder: reappraisal and acceptance of negative self-beliefs. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(1), 119-129.
[77] A. Richey, J., Ghane, M., Valdespino, A., Coffman, M. C., Strege, M. V., White, S. W., & Ollendick, T. H. (2017). Spatiotemporal dissociation of brain activity underlying threat and reward in social anxiety disorder. Social cognitive and affective neuroscience, 12(1), 81-94.
[78] Caouette, J. D., & Guyer, A. E. (2014). Gaining insight into adolescent vulnerability for social anxiety from developmental cognitive neuroscience. Developmental cognitive neuroscience, 8, 65-76.
[79] Becker, M. P. I., Simon, D., Miltner, W. H. R., & Straube, T. (2017). Altered activation of the ventral striatum under performance-related observation in social anxiety disorder. Psychological medicine, 47(14), 2502-2512.
[80] Cremers, H. R., Veer, I. M., Spinhoven, P., Rombouts, S. A., & Roelofs, K. (2015). Neural sensitivity to social reward and punishment anticipation in social anxiety disorder. Frontiers in behavioral neuroscience, 8, 439.
[81] Heeren, A., Dricot, L., Billieux, J., Philippot, P., Grynberg, D., De Timary, P., & Maurage, P. (2017). Correlates of social exclusion in social anxiety disorder: an fMRI study. Scientific Reports, 7(1), 260.
[82] Kreifelts, B., Eckstein, K. N., Ethofer, T., Wiegand, A., Wächter, S., Brück, C., ... & Wildgruber, D. (2019). Tuned to voices and faces: Cerebral responses linked to social anxiety. NeuroImage, 197, 450-456.
[83] Richey, J. A., Brewer, J. A., Sullivan-Toole, H., Strege, M. V., Kim-Spoon, J., White, S. W., & Ollendick, T. H. (2019). Sensitivity shift theory: A developmental model of positive affect and motivational deficits in social anxiety disorder. Clinical psychology review, 72, 101756.
[84] Chen, Y. C., Chen, C. K., & Wang, L. J. (2012). Quetiapine fumarate augmentation for patients with a primary anxiety disorder or a mood disorder: a pilot study. BMC psychiatry, 12, 1-7.
[85] Katzman, M. A., Bleau, P., Blier, P., Chokka, P., Kjernisted, K., Van Ameringen, M., & Canadian Anxiety Guidelines Initiative Group on behalf of the Anxiety Disorders Association of Canada/Association Canadienne des troubles anxieux and McGill University. (2014). Canadian clinical practice guidelines for the management of anxiety, posttraumatic stress and obsessive-compulsive disorders. BMC psychiatry, 14, 1-83.
[86] Wang, C., Zhang, N., Zhang, Y. L., Zhang, J., Yang, H., & Timothy, T. C. (2013). Comparison of the neurobiological effects of attribution retraining group therapy with those of selective serotonin reuptake inhibitors. Brazilian journal of medical and biological research, 46, 318-326.
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