Voxel Based Morphometry In Patients With Psychotic Versus Non Psychotic Depression
NCT ID: NCT05034523
Last Updated: 2021-09-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
66 participants
OBSERVATIONAL
2021-09-01
2022-11-01
Brief Summary
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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
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Detailed Description
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Major depressive disorder (MDD) with psychotic features (psychotic depression) is a severe disorder with a lifetime prevalence of 0.35-1% .
Over the last decades, increasing evidence from post-mortem studies and in vivo studies emerged that mood disorder can induce structural and morphometric changes of the brain The development of magnetic resonance imaging (MRI) has allowed for more advanced structural imaging
Several structural magnetic resonance imaging (s MRI) studies have identified key brain areas involved in MDD. In particular, voxel-based morphometry (VBM), it is helpful in quantitatively identifying unexpected anatomic changes studies have found that MDD is associated with widespread local brain abnormalities, mainly affecting the frontal gyrus, insula, temporal lobes and anterior cingulate gyrus . Structural white matter alterations have also been reported within the inferior parietal lobule and frontal gyrus .
Many studies are positive about grey matter (GM) volume reductions in various cortical regions in depressed patients compared to healthy controls . The most consistent findings appear to be related to GM loss in medial frontal cortex (MFC), anterior cingulate cortex (ACC) and orbitofrontal cortex (OFC) with less evidence about subcortical structures such as the amygdala and the hippocampus .
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Interventions
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MRI Voxel based morphometry
Voxel based morphometry through analysis of 3D T1 weighted sequence to assess total intracranial volume. All participants were scanned on the 1.5Tesla MR scanner (Achieva, Philips Medical Systems, Best, NL) with a 16-channel head coil at the diagnostic radiology department.
Eligibility Criteria
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Inclusion Criteria
2. Based on DSM5 Criteria: MDD with or without psychotic features.
Exclusion Criteria
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
18 Years
60 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Doaa Noor Eldin Abdelazeem Mohammed
Assistant lecturer
Principal Investigators
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Yasser Elserogy, MD
Role: STUDY_CHAIR
Assiut University
Central Contacts
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References
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Sacher J, Neumann J, Funfstuck 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.
Jaaskelainen 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.
Lui S, Zhou XJ, Sweeney JA, Gong Q. Psychoradiology: The Frontier of Neuroimaging in Psychiatry. Radiology. 2016 Nov;281(2):357-372. doi: 10.1148/radiol.2016152149.
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.
Schmaal L, Veltman DJ, van Erp TG, Samann 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, Volzke H, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Kramer B, Gruber O, Couvy-Duchesne B, Renteria 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.
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.
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.
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, Perico 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.
Other Identifiers
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Voxel based MRI in depression
Identifier Type: -
Identifier Source: org_study_id
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