Psychotic Depression Clinical Trial
Official title:
Voxel Based Morphometry In Patients With Psychotic Versus Non Psychotic Depression
1. To examine structural brain changes in patients with depression measured using voxel based morphometry(VBM) in comparison with healthy subjects. 2. Relation between grey mater volume (GMV) and other structural changes, and the severity of clinical symptoms. 3. To study if there is structural brain difference between psychotic and non-psychotic depression
Status | Not yet recruiting |
Enrollment | 66 |
Est. completion date | November 1, 2022 |
Est. primary completion date | September 1, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 60 Years |
Eligibility | Inclusion Criteria: 1. Age 18-60 years old. 2. Based on DSM5 Criteria: MDD with or without psychotic features. Exclusion Criteria: 1 • Patients under 18 years old or above 60 2• Pregnant or lactating women. 3• Other current or past major psychiatric disorders 4• History or concurrent neurological disease(seizures) or prior head trauma with evidence of consequent cognitive impairment. 5• First degree family history of schizophrenia if the participant is less than 33 years old (mean age of onset of schizophrenia plus two standard deviations) to exclude possible prodromal phase of schizophrenia. 6• Unstable medical condition (i.e., any active illness that may affect the brain as blood dyscrasis, lymphomas, endocrinopathies, renal failure, chronic obstructive lung disease, systemic autoimmune disorders or Malignancy). 7• Patients being treated with steroids or hormonal therapy . 8• Current substances or alcohol use disorders (past diagnosis allowed if in remission for more than 6 months 9• Contraindications for MRI as: - Metal implants or paramagnetic objects contained within the body (including heart pacemaker or surgical prosthesis) - Claustrophobia significant enough to interfere with MRI 10• Refusal of informed consent |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Assiut University |
Arnone D, Job D, Selvaraj S, Abe O, Amico F, Cheng Y, Colloby SJ, O'Brien JT, Frodl T, Gotlib IH, Ham BJ, Kim MJ, Koolschijn PC, Périco CA, Salvadore G, Thomas AJ, Van Tol MJ, van der Wee NJ, Veltman DJ, Wagner G, McIntosh AM. Computational meta-analysis of statistical parametric maps in major depression. Hum Brain Mapp. 2016 Apr;37(4):1393-404. doi: 10.1002/hbm.23108. Epub 2016 Feb 8. Review. — View Citation
Jääskeläinen E, Juola T, Korpela H, Lehtiniemi H, Nietola M, Korkeila J, Miettunen J. Epidemiology of psychotic depression - systematic review and meta-analysis. Psychol Med. 2018 Apr;48(6):905-918. doi: 10.1017/S0033291717002501. Epub 2017 Sep 12. — View Citation
Lai CH. Gray matter volume in major depressive disorder: a meta-analysis of voxel-based morphometry studies. Psychiatry Res. 2013 Jan 30;211(1):37-46. doi: 10.1016/j.pscychresns.2012.06.006. Epub 2012 Nov 10. — View Citation
Lui S, Zhou XJ, Sweeney JA, Gong Q. Psychoradiology: The Frontier of Neuroimaging in Psychiatry. Radiology. 2016 Nov;281(2):357-372. Review. — View Citation
O'Connor S, Agius M. A systematic review of structural and functional MRI differences between psychotic and nonpsychotic depression. Psychiatr Danub. 2015 Sep;27 Suppl 1:S235-9. Review. — View Citation
Sacher J, Neumann J, Fünfstück T, Soliman A, Villringer A, Schroeter ML. Mapping the depressed brain: a meta-analysis of structural and functional alterations in major depressive disorder. J Affect Disord. 2012 Oct;140(2):142-8. doi: 10.1016/j.jad.2011.08.001. Epub 2011 Sep 3. — View Citation
Schmaal L, Veltman DJ, van Erp TG, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Tiemeier H, Hofman A, Niessen WJ, Vernooij MW, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Völzke H, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Wright MJ, Hall GB, MacQueen GM, Frey EM, Carballedo A, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schnell K, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Sussmann JE, Godlewska BR, Cowen PJ, Fischer FH, Rose M, Penninx BW, Thompson PM, Hibar DP. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry. 2016 Jun;21(6):806-12. doi: 10.1038/mp.2015.69. Epub 2015 Jun 30. — View Citation
Yuan Y, Zhang Z, Bai F, Yu H, You J, Shi Y, Qian Y, Liu W, Jiang T. Larger regional white matter volume is associated with executive function deficit in remitted geriatric depression: an optimized voxel-based morphometry study. J Affect Disord. 2009 May;115(1-2):225-9. doi: 10.1016/j.jad.2008.09.018. Epub 2008 Oct 21. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Study the structural brain changes in different areas in patients with psychotic depression and non-psychotic depression. | Investigators will use MRI the voxel based morphometry to measure the volume of different areas in grey and white matter in depressed patients and compare them to structure of brain in healthy group. | one year | |
Primary | Examine different variables related to major depressive disorder and their specific relation to structural changes in different areas in brain | Investigators will measure the changes occur in volume of different areas in brain with different types of depression.
Investigators will measure the changes in volume of different areas in brain which occur by the effect of psychotic features. Investigators will measure the effect of suicide on changes of volume of different areas of brain. |
one year |
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