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Neural Indices Associated With Relapse in Cannabis Dependence

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ClinicalTrials.gov Identifier: NCT02801422
Recruitment Status : Recruiting
First Posted : June 15, 2016
Last Update Posted : October 29, 2018
Sponsor:
Collaborators:
German Research Foundation
University Hospital, Bonn
Information provided by (Responsible Party):
Benjamin Becker, University of Electronic Science and Technology of China

Brief Summary:
The aim of this fMRI study is to investigate neural indices of relapse in cannabis dependence. The development and maintenance of drug addictions have been associated with deficits in cognitive control, craving and impaired stress regulation. Therefore, neural markers of brain processes underlying the beforementioned components will be studied. Subsequent follow-up drug use interviews will reveal associations between relapse in cannabis dependence and alterations in brain networks of cognitive control, craving and stress.

Condition or disease Intervention/treatment
Cannabis Dependence Other: fMRI

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Study Type : Observational
Estimated Enrollment : 75 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Altered Neural Activation Patterns of Emotional Processing in Dependent Cannabis Users Associated With Relapse
Study Start Date : February 2016
Estimated Primary Completion Date : March 2019
Estimated Study Completion Date : March 2019

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Marijuana

Group/Cohort Intervention/treatment
Cannabis Dependence
ages 18-40
Other: fMRI
Healthy control subjects
socio-demographically matched
Other: fMRI



Primary Outcome Measures :
  1. fMRI neural activation patterns of emotional processing [ Time Frame: one time point = fMRI assessment after minimum 24 hours of abstinence ]
    Activation patterns associated with emotion processing, emotion regulation, craving and stress are determined in addicted cannabis users compared to non-using matched control subjects


Secondary Outcome Measures :
  1. Timeline Followback Interviews [ Time Frame: one time point = 12 months after fMRI data acquisition ]
    Association between fMRI correlates and drug use during follow up preiod as predictor for relapse



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 40 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Cannabis dependent individuals
Criteria

Inclusion Criteria:

  • Cannabis Dependence
  • 24 hours abstinence

Exclusion Criteria:

  • other DSM-4 diagnosis
  • neurological disorder

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02801422


Contacts
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Contact: Benjamin Becker, PhD +8618584070309 ben_becker@gmx.de
Contact: Kaeli Zimmermann, MSc +49022828719704 kaeli.zimmermann@gmx.de

Locations
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Germany
University of Bonn Recruiting
Bonn, North Rhine Westfalia, Germany, 53127
Contact: Benjamin Becker, PhD    +4917620090499    ben_becker@gmx.de   
Contact: Kaeli Zimmermann, MSc    +4922828719704    kaeli.zimmermann@gmx.de   
Sponsors and Collaborators
University of Electronic Science and Technology of China
German Research Foundation
University Hospital, Bonn

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Responsible Party: Benjamin Becker, Prof. Dr. rer. nat. Benjamin Becker, University of Electronic Science and Technology of China
ClinicalTrials.gov Identifier: NCT02801422     History of Changes
Other Study ID Numbers: ART_Can_03
First Posted: June 15, 2016    Key Record Dates
Last Update Posted: October 29, 2018
Last Verified: October 2018
Keywords provided by Benjamin Becker, University of Electronic Science and Technology of China:
cannabis
fMRI
addiction
relapse
Additional relevant MeSH terms:
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Recurrence
Marijuana Abuse
Disease Attributes
Pathologic Processes
Substance-Related Disorders
Chemically-Induced Disorders
Mental Disorders