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Neuroimaging of chronic MDMA (“ecstasy”) effects: A meta-analysis

Felix Müller, Raphael Brändle, Matthias E. Liechti, Stefan Borgwardt*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

In this meta-analysis, we aimed to assess the evidence from neuroimaging studies for chronic alterations in the brains of MDMA users. The databases PubMed, Embase, and Web of Science were searched for studies published from inception to August 24, 2018, without any language restriction. Sixteen independent studies comprising 356 MDMA users and 311 controls were included. Of these, five studies investigated frontal and occipital N-acetylaspartate/creatine and myo-inositol/creatine ratios, three studies assessed basal ganglia blood flow and ten studies investigated serotonin transporter (SERT) density in various regions. We found significantly decreased SERT density in eight of 13 investigated regions. Meta-regression indicated a positive association with abstinence, but none with lifetime episodes of use. Therefore, other variables (such as doses taken per occasion) might be more important determinants. Positive associations between time of abstinence and SERT density might indicate that these alterations are reversible to some extent. Furthermore, there were no significant differences between user and control groups in terms of neurochemical ratios in the frontal and occipital lobes and blood flow in the basal ganglia. Overall, MDMA user groups showed heavy use patterns and study quality was poor.

OriginalspracheEnglisch
ZeitschriftNeuroscience and Biobehavioral Reviews
Jahrgang96
Seiten (von - bis)10-20
Seitenumfang11
ISSN0149-7634
DOIs
PublikationsstatusVeröffentlicht - 01.2019

Fördermittel

We would like to thank the Swiss National Science Foundation (No. 320030_170249 ) and the UPK Forschungsförderungsfonds for supporting this work and the three anonymous reviewers for their helpful and constructive comments.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten

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