Patient Stratification and Treatment Response Prediction in Neuropharmacotherapy Using Hybrid Positron Emmission Tomography/Magnetic Resconance Imaging (PET/MR)
NCT ID: NCT02711215
Last Updated: 2019-09-03
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
PHASE4
80 participants
INTERVENTIONAL
2015-05-31
2020-01-31
Brief Summary
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Objectives:
1. To predict antidepressant treatment response from data obtained using hybrid PET/MR with acute pharmacological challenge.
2. To discriminate healthy from depressed subjects using this paradigm.
3. To establish models connecting regional changes in occupancy of serotonin transporters (5-HTT) following citalopram infusion, with changes in brain activation and connectivity of major resting-state hub networks.
Design: Randomized, double-blind, placebo-controlled, cross-over mono-center study.
Materials and methods:
40 major depressed (MDD) and 40 healthy subjects will undergo 2 PET/MR scans on a 3T SIEMENS mMR Biograph scanner: 1. challenge with citalopram 8mg 2. placebo (saline). After structural imaging, functional MRI will be continuously acquired. \[11C\]DASB will be applied using a bolus + constant infusion paradigm to probe 5-HTT binding potentials and monitor 5-HTT occupancy with drug challenge, applied after 70min, in a single session. Scanning will be terminated 80min after challenge. MDD patients will receive subsequent escitalopram treatment with repeated evaluation of response for 3 months.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
BASIC_SCIENCE
DOUBLE
Interventions
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PET/MR [11C]DASB
2 PET/MR scans will be performed (placebo/citalopram - double-blind randomized cross-over)
Citalopram
8mg citalopram or placebo (saline) will be applied during PET/MR measurements in a double-blind randomized cross-over design
Escitalopram (Mirtazapine/Duloxetine/Venlafaxine)
After completion of imaging procedures, patients will receive treatment with escitalopram 10-20mg. In case of non-response, after 6 weeks, treatment will be switched to either Mirtazapine, Duloxetine or Venlafaxine
Placebo
8mg citalopram or placebo (saline) will be applied during PET/MR measurements in a double-blind randomized cross-over design
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* HAM-D≥18 (patients)
* Willingness and competence to sign the informed consent form
* Age 18 to 55 years
Exclusion Criteria
* Current or former psychopharmacological treatment
* Current or former substance abuse
* Pregnancy
* Any implant or stainless steel graft or any other contraindications for MRI
* Failure to comply with the study protocol or to follow the instructions of the investigating team
* Participation in studies involving radiation exposure in the past 10 years.
* Body mass index \<17 or \>30
18 Years
55 Years
ALL
Yes
Sponsors
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Medical University of Vienna
OTHER
Responsible Party
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Rupert Lanzenberger
Head of the Neuroimaging Labs
Locations
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Department of Psychiatry and Psychotherapy, Medical University of Vienna
Vienna, , Austria
Countries
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References
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Zadka L, Eggerstorfer B, Buzalewicz I, Vraka C, Rusak A, Godbersen GM, Opalinska A, Unterholzner J, Ulatowska-Jarza A, Philippe C, Haczkiewicz-Lesniak K, Silberbauer LR, Murgas M, Nics L, Hahn A, Hacker M, Gomulkiewicz A, Rujescu D, Podhorska-Okolow M, Lanzenberger R, Gryglewski G. Phenotyping extracellular vesicles and their serotonin transporter cargo in major depressive disorder. J Affect Disord. 2025 Nov 15;389:119740. doi: 10.1016/j.jad.2025.119740. Epub 2025 Jun 21.
Seiger R, Gryglewski G, Klobl M, Kautzky A, Godbersen GM, Rischka L, Vanicek T, Hienert M, Unterholzner J, Silberbauer LR, Michenthaler P, Handschuh P, Hahn A, Kasper S, Lanzenberger R. The Influence of Acute SSRI Administration on White Matter Microstructure in Patients Suffering From Major Depressive Disorder and Healthy Controls. Int J Neuropsychopharmacol. 2021 Jul 23;24(7):542-550. doi: 10.1093/ijnp/pyab008.
Other Identifiers
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1.6_20180316
Identifier Type: -
Identifier Source: org_study_id
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