Voxel Based Morphometry In Patients With Psychotic Versus Non Psychotic Depression

NCT05034523 | Unknown

• 1 other identifier: Voxel based MRI in depression
• Study Type: observational
• Target: 66
• Locations: 0 countries
• Sites: N/A

Brief Summary

1. 1.To examine structural brain changes in patients with depression measured using voxel based morphometry(VBM) in comparison with healthy subjects.
2. 2.Relation between grey mater volume (GMV) and other structural changes, and the severity of clinical symptoms.
3. 3.To study if there is structural brain difference between psychotic and non-psychotic depression

Conditions

Psychotic Depression; Non Psychotic Depression

Keywords

Depression; Psychotic depression; Voxel based morphometry

Outcome Measures

Primary Outcomes (2)

• 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

• 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

Interventions

MRI Voxel based morphometry RADIATION

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

• Age: 18 Years - 60 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

The study included two groups: Group (A): patients' group diagnosed with major depressive disorder (MDD) which include (44) patients aged 18-60 years' old who attended psychiatric outpatient's clinic and who is admitted in psychiatric unit of Assiut university hospitals. This group is further subdivided according to DSM 5 Criteria into 2 subgroups: Major depression with psychotic disorder and Major depression without psychotic disorder. Group (B): control group which consists of (22) healthy cross matching individuals.

You may qualify if:

• Age 18-60 years old.
• Based on DSM5 Criteria: MDD with or without psychotic features.

You may not qualify if:

• Patients under 18 years old or above 60
• Pregnant or lactating women.
• Other current or past major psychiatric disorders
• History or concurrent neurological disease(seizures) or prior head trauma with evidence of consequent cognitive impairment.
• 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.
• 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).
• Patients being treated with steroids or hormonal therapy .
• Current substances or alcohol use disorders (past diagnosis allowed if in remission for more than 6 months
• 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
• Refusal of informed consent

Sponsors & Collaborators

• Assiut University: lead

Related Publications (8)

• 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.

  PMID: 21890211 BACKGROUND

• 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.

  PMID: 28893329 BACKGROUND

• 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.

  PMID: 27755933 BACKGROUND

• 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.

  PMID: 26417770 BACKGROUND

• 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.

  PMID: 26122586 BACKGROUND

• 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.

  PMID: 18945494 BACKGROUND

• 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.

  PMID: 23146253 BACKGROUND

• 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.

  PMID: 26854015 BACKGROUND

MeSH Terms

Conditions

Depression

Condition Hierarchy (Ancestors)

Behavioral Symptoms; Behavior

Study Officials

• Yasser Elserogy, MD

  Assiut University

  STUDY CHAIR

Central Study Contacts

Doaa Elhefny, MSC

CONTACT

+201022388263; doaanoors304@gmail.com

Romany Jabra, MD

CONTACT

romanyhosny@med.aun.edu.eg

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant lecturer

Study Record Dates

• First Submitted: August 24, 2021
• First Posted: September 5, 2021
• Study Start: September 1, 2021
• Primary Completion: September 1, 2022
• Study Completion: November 1, 2022
• Last Updated: September 5, 2021

Record last verified: 2021-08