The risk of cannabis use disorder is mediated by altered brain connectivity: a chronnectome study
Abstract The brain mechanisms underlying the risk of cannabis use disorder (CUD) are poorly understood. Several studies have reported changes in functional connectivity (FC) in CUD, although none have focused on the study of time-varying patterns of FC. To fill this important gap of knowledge, 39 in...
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| Hauptverfasser: | , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
May 2024
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| In: |
Addiction biology
Year: 2024, Jahrgang: 29, Heft: 5, Pages: 1-11 |
| ISSN: | 1369-1600 |
| DOI: | 10.1111/adb.13395 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1111/adb.13395 Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/10.1111/adb.13395 
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| Verfasserangaben: | Giovanni Fazio, Daniele Olivo, Nadine D. Wolf, Dusan Hirjak, Mike M. Schmitgen, Florian Werler, Miriam Witteman, Katharina M. Kubera, Vince D. Calhoun, Wolfgang Reith, Robert Christian Wolf, Fabio Sambataro |
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| 245 | 1 | 4 | |a The risk of cannabis use disorder is mediated by altered brain connectivity |b a chronnectome study |c Giovanni Fazio, Daniele Olivo, Nadine D. Wolf, Dusan Hirjak, Mike M. Schmitgen, Florian Werler, Miriam Witteman, Katharina M. Kubera, Vince D. Calhoun, Wolfgang Reith, Robert Christian Wolf, Fabio Sambataro |
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| 520 | |a Abstract The brain mechanisms underlying the risk of cannabis use disorder (CUD) are poorly understood. Several studies have reported changes in functional connectivity (FC) in CUD, although none have focused on the study of time-varying patterns of FC. To fill this important gap of knowledge, 39 individuals at risk for CUD and 55 controls, stratified by their score on a self-screening questionnaire for cannabis-related problems (CUDIT-R), underwent resting-state functional magnetic resonance imaging. Dynamic functional connectivity (dFNC) was estimated using independent component analysis, sliding-time window correlations, cluster states and meta-state indices of global dynamics and were compared among groups. At-risk individuals stayed longer in a cluster state with higher within and reduced between network dFNC for the subcortical, sensory-motor, visual, cognitive-control and default-mode networks, relative to controls. More globally, at-risk individuals had a greater number of meta-states and transitions between them and a longer state span and total distance between meta-states in the state space. Our findings suggest that the risk of CUD is associated with an increased dynamic fluidity and dynamic range of FC. This may result in altered stability and engagement of the brain networks, which can ultimately translate into altered cortical and subcortical function conveying CUD risk. Identifying these changes in brain function can pave the way for early pharmacological and neurostimulation treatment of CUD, as much as they could facilitate the stratification of high-risk individuals. | ||
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