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Multimodal MRI data fusion reveals distinct structural, functional and neurochemical correlates of heavy cannabis use

Dusan Hirjak, Mike M. Schmitgen, Florian Werler, Miriam Wittemann, Katharina M Kubera, Nadine D. Wolf, Fabio Sambataro, Vince D Calhoun, Wolfgang Reith, Robert Christian Wolf

Addiction Biology November 22, 2021 DOI: 10.1111/adb.13113 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Cross-sectional study Peer reviewed
Sample size 40
Population Persons with heavy cannabis use and controls without cannabis-use disorder or other current and lifetime major mental disorders
Topics Serotonin Cannabis
Keywords Neurochemical Grey matter Neuroimaging Cognition Magnetic resonance imaging White matter
Citations 33
Key findings Heavy cannabis use is associated with co-altered grey matter volume in cerebello-temporo-thalamic regions and intrinsic neural activity in fronto-parietal regions, linked to serotonergic, dopaminergic, and μ-opioid receptor systems.

Abstract

Heavy cannabis use (HCU) is frequently associated with a plethora of cognitive, psychopathological and sensorimotor phenomena. Although HCU is frequent, specific patterns of abnormal brain structure and function underlying HCU in individuals presenting without cannabis-use disorder or other current and life-time major mental disorders are unclear at present. This multimodal magnetic resonance imaging (MRI) study examined resting-state functional MRI (rs-fMRI) and structural MRI (sMRI) data from 24 persons with HCU and 16 controls. Parallel independent component analysis (p-ICA) was used to examine covarying components among grey matter volume (GMV) maps computed from sMRI and intrinsic neural activity (INA), as derived from amplitude of low-frequency fluctuations (ALFF) maps computed from rs-fMRI data. Further, we used JuSpace toolbox for cross-modal correlations between MRI-based modalities with nuclear imaging derived estimates, to examine specific neurotransmitter system changes underlying HCU. We identified two transmodal components, which significantly differed between the HCU and controls (GMV: p = 0.01, ALFF p = 0.03, respectively). The GMV component comprised predominantly cerebello-temporo-thalamic regions, whereas the INA component included fronto-parietal regions. Across HCU, loading parameters of both components were significantly associated with distinct HCU behavior. Finally, significant associations between GMV and the serotonergic system as well as between INA and the serotonergic, dopaminergic and μ-opioid receptor system were detected. This study provides novel multimodal neuromechanistic insights into HCU suggesting co-altered structure/function-interactions in neural systems subserving cognitive and sensorimotor functions.

Comparable studies

Other cross-sectional and survey studies on cannabis, most cited first.

Study Year Design Participants
Cannabis use before age 15 and subsequent executive functioning 104 chronic cannabis users (49 early-onset before age 15, 55 late-onset after age 15)... 2011 Observational cross-sectional study n = 148
Patterns of simultaneous polysubstance use in drug using university students Drug-using university students 2006 Cross-sectional survey n = 149
Persisting Reductions in Cannabis, Opioid, and Stimulant Misuse After Naturalistic Psychedelic Use: An Online Survey Online survey respondents 2020 Cross-sectional survey
User perceptions of the benefits and harms of hallucinogenic drug use: A web-based questionnaire study Users of hallucinogenic drugs who completed a web-based questionnaire 2010 Cross-sectional survey n = 600
Illicit Use of LSD or Psilocybin, but not MDMA or Nonpsychedelic Drugs, is Associated with Mystical Experiences in a Dose-Dependent Manner Adults recruited from the MAPS website and newsletter, most reporting use of various... 2012 Cross-sectional survey n = 337

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