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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05034523
Other study ID # Voxel based MRI in depression
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date September 1, 2021
Est. completion date November 1, 2022

Study information

Verified date August 2021
Source Assiut University
Contact Doaa Elhefny, MSC
Phone +201022388263
Email doaanoors304@gmail.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

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


Description:

Depression is a major psychiatric disorder and a leading cause of disability worldwide. The clinical representation encompasses affective, cognitive and somatic complains such as low mood, anxiety, lack of pleasure and interest, disturbances of sleep and appetite, decreased self-esteem, thoughts of guilt, hopelessness, and even suicide. 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 .


Recruitment information / eligibility

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

Study Design


Intervention

Radiation:
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.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Assiut University

References & Publications (8)

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

Outcome

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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