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Dudina A.N.

Mental Health Research Center

Tomyshev A.S.

Mental Health Research Center

Omelchenko M.A.

Mental Health Research Centre

Kaleda V.G.

Mental Health Research Centre

Lebedeva I.S.

Mental Health Research Center

Structural features of the brain in individuals with youth depression at a clinical risk for psychosis

Authors:

Dudina A.N., Tomyshev A.S., Omelchenko M.A., Kaleda V.G., Lebedeva I.S.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2023;123(6): 94‑99

DOI: 10.17116/jnevro202312306194

Read: 1679 times

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Table of contents

STRUCTURAL FEATURES OF THE BRAIN IN INDIVIDUALS WITH YOUTH DEPRESSION AT A CLINICAL RISK FOR PSYCHOSIS
STRUCTURAL FEATURES OF THE BRAIN IN INDIVIDUALS WITH YOUTH DEPRESSION AT A CLINICAL RISK FOR PSYCHOSIS

To cite this article:

Dudina AN, Tomyshev AS, Omelchenko MA, Kaleda VG, Lebedeva IS. Structural features of the brain in individuals with youth depression at a clinical risk for psychosis. S.S. Korsakov Journal of Neurology and Psychiatry. 2023;123(6):94‑99. (In Russ.)
https://doi.org/10.17116/jnevro202312306194

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова (S.S. Korsakov Journal of Neurology and Psychiatry)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To establish the structural features of the brain (cortical and subcortical) in depressive patients at clinical risk for psychosis.

MATERIAL AND METHODS

Nineteen right-handed male patients with youth depression, who were assessed for high risk of psychotic manifestation, and 20 healthy controls underwent MRI and clinical examination. T1-weighted images were processed in FreeSurfer 7.1.1. For each subject average values for the cortex thickness and area, volumes of subcortical structures, and separately volumes of the amygdala nuclei were obtained. Intergroup comparisons and correlations with clinical scales (SOPS, HDRS) were calculated.

RESULTS

Patients showed decreased gray matter thickness in the left (p=0.002) and right (p=0.003) postcentral gyri and increased thickness in the right posterior cingulate cortex (p=0.003) and rostral anterior cingulate cortex (p=0.001).

CONCLUSION

These findings may reflect cortical changes at early stages of the psychotic process, including the gray matter loss in some areas and the opposite phenomena in others (it cannot be ruled out that the latter may be the result of altered ontogenesis and/or certain compensatory changes).

Keywords:

clinical risk for psychosis
schizophrenia
youth depression
MRI
cortical thickness
cingulate cortex

Authors:

Dudina A.N.

Mental Health Research Center

Tomyshev A.S.

Mental Health Research Center

Omelchenko M.A.

Mental Health Research Centre

Kaleda V.G.

Mental Health Research Centre

Lebedeva I.S.

Mental Health Research Center

Received:

14.11.2022

Accepted:

14.02.2023

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References:

  1. Fusar-Poli P. The Clinical High-Risk State for Psychosis (CHR-P), Version II. Schizophrenia Bulletin. 2017;43(1):44-47.  https://doi.org/10.1093/schbul/sbw158
  2. Fusar-Poli P, Cappucciati M, Rutigliano G, et al. Towards a Standard Psychometric Diagnostic Interview for Subjects at Ultra High Risk of Psychosis: CAARMS versus SIPS. Psychiatry Journal. 2016;2016:1-11.  https://doi.org/10.1155/2016/7146341
  3. Woods SW, Miller TJ, McGlashan TH. The «prodromal» patient: both symptomatic and at-risk. CNS Spectrums. 2001;6(3):223-232.  https://doi.org/10.1017/s1092852900008609
  4. Lencz T, Smith CW, Authera A, Corrella CU, Cornblatt B. Nonspecific and attenuated negative symptoms in patients at clinical high-risk for schizophrenia. Schizophrenia Research. 2004;68(1):37-48.  https://doi.org/10.1016/s0920-9964(03)00214-7
  5. Gross G. Prodrome und Vorpostensyndrome schizophrener Erkrankungen. In: Gross G, ed. Schizophrenie und Zyklothymie. Ergebnisse und Probleme. Stuttgart: Thieme; 1969;187. 
  6. Kaleda VG, Omelchenko MA. The Clinical Course and Prognostic Problems of Youth Depressions with Attenuated Schizophrenic Symptoms. V.M. Bekhterev Review of Psychiatry and Medical Psychology. 2021;(1):42-52. (In Russ.). https://doi.org/10.31363/2313-7053-2021-1-42-52
  7. Girolamo G, McGorry P, Sartorius N. Age of Onset of Mental Disorders: Etiopathogenetic and Treatment Implications Cham, Switzerland: Springer; 2019.
  8. Bardenshteyn LM, Aleshkina GA. Depressive disorders in psychopathological structure of first episode psychosis manifesting in adolescence and young adulthood. Zhurnal Nevrologii i Psikhiatrii im. S.S. Korsakova. 2015;115(1-2):3-6. (In Russ.). https://doi.org/10.17116/jnevro2015115123-6
  9. Del Re EC, Stone WS, Bouix S, et al. Baseline Cortical Thickness Reductions in Clinical High Risk for Psychosis: Brain Regions Associated with Conversion to Psychosis Versus Non-Conversion as Assessed at One-Year Follow-Up in the Shanghai-At-Risk-for-Psychosis (SHARP) Study. Schizophrenia Bulletin. 2021;47(2):562-574.  https://doi.org/10.1093/schbul/sbaa127
  10. Jalbrzikowski M, Hayes RA, Wood SJ, et al. Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis: An ENIGMA Working Group Mega-analysis. JAMA Psychiatry. 2021;78(7):753-766.  https://doi.org/10.1001/jamapsychiatry.2021.0638
  11. Liloia D, Brasso C, Cauda F, et al. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neuroscience and Biobehavioral Reviews. 2021;123:83-103.  https://doi.org/10.1016/j.neubiorev.2021.01.010
  12. Tomyshev AS, Lebedeva IS, Akhadov TA, et al. Alterations in white matter microstructure and cortical thickness in individuals at ultra-high risk of psychosis: A multimodal tractography and surface-based morphometry study. Psychiatry Research. Neuroimaging. 2019;289:26-36.  https://doi.org/10.1016/j.pscychresns.2019.05.002
  13. Tomyshev AS, Lebedeva IS, Omelchenko MA, Kaleda VG. MRI-based markers of changes in the supragranular cortical layer in individuals at clinically high risk of endigenous psychosis. Bulletin of Experimental Biology and Medicine. 2021;171(4):500-506. (In Russ.). https://doi.org/10.47056/0365-9615-2021-171-4-500-506
  14. Zhao Y, Zhang Q, Shah C, et al. Cortical Thickness Abnormalities at Different Stages of the Illness Course in Schizophrenia: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2022;79(6):560-570.  https://doi.org/10.1001/jamapsychiatry.2022.0799
  15. Malla A, Shah J, Iyer S, et al. Youth Mental Health Should Be a Top Priority for Health Care in Canada. The Canadian Journal of Psychiatry. 2018;63(4):216-222.  https://doi.org/10.1177/0706743718758968
  16. Zimmerman M, Martinez JH, Young D, Chelminski I, Dalrymple K. Severity classification on the Hamilton Depression Rating Scale. Journal of Affective Disorders. 2013;150(2):384-388.  https://doi.org/10.1016/j.jad.2013.04.028
  17. Miller TJ, McGlashan TH, Woods SW, et al. Symptom assessment in schizophrenic prodromal states Psychiatr Q. 1999;70(4):273-287.  https://doi.org/10.1023/a:1022034115078
  18. Fischl B. FreeSurfer. NeuroImage. 2012;62(2):774-781.  https://doi.org/10.1016/j.neuroimage.2012.01.021
  19. Desikan RS, Segonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage. 2006;31(3):968-980.  https://doi.org/10.1016/j.neuroimage.2006.01.021
  20. Saygin ZM, Kliemann D, Iglesias JE, et al. High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas. NeuroImage. 2017;155:370-382.  https://www.nmr.mgh.harvard.edu/~iglesias/pdf/AmygdalaAtlas.pdf
  21. Benjamini Y, Hochberg Y. On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics. Journal of Educational and Behavioral Statistics. 2016;25(1):60-83.  https://doi.org/10.3102/10769986025001060
  22. Kropf E, Syan SK, Minuzzi L, Frey BN. From anatomy to function: the role of the somatosensory cortex in emotional regulation. Revista Brasileira de Psiquiatria. 2019;41(3):261-269.  https://doi.org/10.1590/1516-4446-2018-0183
  23. Binnewies J, Nawijn L, Brandmaier AM, et al. Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium. NeuroImage. Clinical. 2022;36:103180. https://doi.org/10.1016/j.nicl.2022.103180
  24. Schmaal L, Hibar DP, Samann PG, et al. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Molecular Psychiatry. 2017;22(6):900-909.  https://doi.org/10.1038/mp.2016.60
  25. Opel N, Goltermann J, Hermesdorf M, et al. Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium. Biological Psychiatry. 2020;88(9):678-686.  https://doi.org/10.1016/j.biopsych.2020.04.027
  26. Frangou S, Modabbernia A, Williams SCR, et al. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3—90 years. Human Brain Mapping. 2022;43(1):431-451.  https://doi.org/10.1002/hbm.25364
  27. Deng W, Addington J, Bearden CE, et al. Depression Predicts Global Functional Outcomes in Individuals at Clinical High Risk for Psychosis. Psychiatr Res Clin Pract. 2021;3(4):163-171.  https://doi.org/10.1176/appi.prcp.20210023
  28. Woodberry KA, Shapiro DI, Bryant C, Seidman LJ. Progress and Future Directions in Research on the Psychosis Prodrome: A Review for Clinicians. Harvard Review of Psychiatry. 2016;24(2):87-103.  https://doi.org/10.1097/HRP.0000000000000109
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