Anatomical changes of the CNS in the course of schizophrenia and recurrent depression a review of current knowledge
DOI:
https://doi.org/10.12775/JEHS.2025.80.58395Keywords
Schizophrenia, recurrent depressive disorder, neuroimagingAbstract
Introduction and purpose of the study: Schizophrenia and recurrent depressive disorder are important mental disorders worthy of special interest in both the fields of psychiatry and neuroradiology. The studies presented in the following paper have made it possible to see a correlation between specific symptoms specific to the aforementioned disease entities and the location of pathological changes within the CNS.
Review methods: The article was based on a review of scientific papers available in the PubMed electronic database, in order to select the appropriate quality of scientific articles, appropriately selected keywords were used: “schizophrenia”, “recurrent depressive disorder”, “neuroimaging”.
Description of the state of the art: Anatomical changes within the CNS are associated with various factors, such as genetics, environment or neurochemical interactions, which affect the development and course of the mental disorders in question. Neuroimaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) allow us to detect pathologies in specific areas of the brain and correlate them with the clinical condition of the subject. In this way, we are constantly expanding our knowledge of the connections and neuronal loops that determine proper human functioning in society.
Summary: The diseases presented not only affect the functioning of the patient himself, but also affect his loved ones and the health care system. With the ability to observe the brains of patients with schizophrenia and recurrent depression, knowledge of its structure has expanded significantly. This is a key element in developing more targeted and effective therapies, both pharmacological and psychotherapeutic.
References
1. Miernik-Jaeschke M, Namysłowska I. Zaburzenia depresyjne u dzieci i młodzieży. Medycyna Praktyczna https://www.mp.pl/pacjent/pediatria/choroby/psychiatria/81302,zaburzenia-depre syjne-u-dzieci-i-mlodziezy (dostęp: 23.11.16).
2. Rybakowski J. Etiopatogeneza schizofrenii – stan wiedzy na rok 2021. Psychiatria Polska. 2021; 55(2): 261-74. https://doi.org/10.12740/PP/132953
3. Kaniewska-Mackiewicz E. Codzienne wyzwania osób z rozpoznaniem schizofrenii. Zeszyty naukowe WSG, seria: Edukacja – Rodzina – Społeczeństwo. 2022; 40(7): 277-304.
4. Cierpiałkowska, L. Psychopatologia. Dodruk. Warszawa: Scholar, 2022.
5. Depression and Other Common Mental Disorders: Global Health Estimates. Geneva: World Health Organization https://www.who.int/publications/i/item/depression-global-health-estimates (dostęp: 3.01.17).
6. Dam S, Batail JM, Robert GH, Drapier D, Maurel P, Coloigner J. Structural Brain Connectivity and Treatment Improvement in Mood Disorder. Brain Connect. 2024; 14(4): 239-251. https://doi.org/10.1089/brain.2023.0063
7. Antonova E, Sharma T, Morris R, et al. The relationship between brain structure and neurocognition in schizophrenia: A selective review. Schizophr Res. 2004; 70(2-3): 117–145. https://doi.org/10.1016/j.schres.2003.12.002
8. Gałecki P, Szulc A. Psychiatria. Wyd. 1. Wrocław: EDRA; 2023. p. 170-176.
9. Liu-Xian Wang, M.B., Ping Li, M.B., Hong He, M.B. et al. The Prevalence of Cavum Septum Pellucidum in Mental Disorders Revealed by MRI: A Meta-Analysis. J Neuropsychiatry Clin Neurosci. 2020; 32(2): 175–184.
https://doi.org/10.1176/appi.neuropsych.18030060
10. Callicott JH, Weinberger DR. Functional MRI in Psychiatry. W: Moonen CTW, Bandettini PA. Red. Functional MRI, Berlin, Heidelberg, New York, Barcelona, Hong. Kong, London, Milan, Paris, Singapore, Tokyo; 2000. p. 501-512.
11.Meduri M, Bramanti P, Ielitro G, et al. Morphometrical and morphological analysis of lateral ventricles in schizophrenia patients versus healthy controls. Psychiatry Res. 2010; 183(1): 52-58.
https://doi.org/10.1016/j.pscychresns.2010.01.014.
12. Aristotle N. Voineskos, Colin Hawco, Nicholas H. Neufeld i wsp. Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions. World Psychiatry. 2024; 23(1): 26-51.
https://doi.org/10.1002/wps.21159
13. Marder SR, Umbricht D. Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments. Schizophr Res. 2023; 258: 71-77. https://doi.org/10.1016/j.schres.2023.07.010
14. Walther S, Vanbellingen T, Müri R, et al. Impaired pantomime in schizophrenia: Association with frontal lobe function. Cortex 2013; 49(2): 520-527.
https://doi.org/10.1016/j.cortex.2011.12.008
15. Selemon LD, Goldman-Rakic PS. The reduced neuropil hypothesis: a circuit based model of schizophrenia. Biol Psychiatry. 1999; 45(1): 17-25.
https://doi.org/10.1016/s0006-3223(98)00281-9
16. Bochenek A, Reicher M, Anatomia człowieka. Wyd. VI Warszawa, PZWL; 2018. p. 210.
17. Murray R, Bhavsar V, Tripoli G, Howes O. 30 Years on: How the Neurodevelopmental Hypothesis of Schizophrenia Morphed Into the Developmental Risk Factor Model of Psychosis. Schizophr. Bull. 2017; 43(6): 1190–1196.
https://doi.org/10.1093/schbul/sbx121
18. Oldcham S, Fornito A. The development of brain network hubs. Dev Cogn Neurosci. 2019; 36: 100607. https://doi.org/10.1016/j.dcn.2018.12.005
19. Zhang FF, Peng W, Sweeney JA, Jia ZY, Gong QY. Brain structure alterations in depression: Psychoradiological evidence. CNS Neurosci Ther. 2018; 24(11): 994–1003. https://doi.org/10.1111/cns.12835
20. Yang C, Xiao K, Ao Y, Cui Q, Jing X, Wang Y. The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis. Neuroimage Clin. 2023; 37: 103295. https://doi.org/10.1016/j.nicl.2022.103295
21. Takamura M, Okamoto Y, Okada G, Toki S, Yamamoto T, Ichikawa N, et al. Patients with major depressive disorder exhibit reduced reward size coding in the striatum. Prog Neuropsychopharmacol Biol Psychiatry. 2017; 79(Pt B): 317-323.
https://doi.org/10.1016/j.pnpbp.2017.07.006
22. Fischer AS, Hagan KE, Gotlib IH. Functional neuroimaging biomarkers of resilience in major depressive disorder. Curr Opin Psychiatry. 2021; 34(1): 22-28.
https://doi.org/10.1097/YCO.0000000000000662
23. Solaro C, Gamberini G, Masuccio FG. Depression in multiple sclerosis: epidemiology, aetiology, diagnosis and treatment. CNS drugs. Feb 2018; 32(2): 117-133. https://doi.org/10. 1007/s40263-018-0489-5
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Joanna Gmyz, Weronika Zubrzycka, Patrycja Grzech, Lena Kreczyńska

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
Stats
Number of views and downloads: 84
Number of citations: 0