2021
DOI: 10.1007/s00213-021-05973-x
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Patterns of brain function associated with cannabis cue-reactivity in regular cannabis users: a systematic review of fMRI studies

Abstract: Rationale Regular cannabis use (i.e. ≥ monthly) is highly prevalent, with past year use being reported by ~ 200 million people globally.High reactivity to cannabis cues is a key feature of regular cannabis use and has been ascribed to greater cannabis exposure and craving, but the underlying neurobiology is yet to be systematically integrated. Objectives We aim to systematically summarise the findings from fMRI studies which examined brain function in cann… Show more

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Cited by 28 publications
(15 citation statements)
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“…57,64 Emerging evidence from fMRI studies (including cuereactivity fMRI tasks) suggests aberrant thalamus activity in cannabis users. 65 Fourth, we also identified GMV alterations of the cingulate gyrus and anterior cingulate cortex (ACC) in HCU. ACC is crucial for integrating cognitive and emotional processes in support of goaldirected behavior.…”
Section: Alterations Of Ina and Gmv Components In Hcumentioning
confidence: 94%
“…57,64 Emerging evidence from fMRI studies (including cuereactivity fMRI tasks) suggests aberrant thalamus activity in cannabis users. 65 Fourth, we also identified GMV alterations of the cingulate gyrus and anterior cingulate cortex (ACC) in HCU. ACC is crucial for integrating cognitive and emotional processes in support of goaldirected behavior.…”
Section: Alterations Of Ina and Gmv Components In Hcumentioning
confidence: 94%
“…As with other psychiatric disorders, SUDs are complex, arising over time from multiple cognitive, brain, genetic, and environmental factors whose interactions are not yet well understood (Gelernter and Polimanti, 2021 ; Heilig et al, 2021 ; Rawls et al, 2021 ; Ray and Grodin, 2021 ). Current models of SUD, mainly based on functional magnetic resonance imaging (fMRI; Devoto et al, 2020 ; Lin et al, 2020 ; Hill-Bowen et al, 2021 ; Klugah-Brown et al, 2021 ; Le et al, 2021 ; Sehl et al, 2021 ; Tolomeo and Yu, 2022 ) suggest chronic alterations in brain systems associated with reward processing (Luijten et al, 2017 ), salience attribution (Zilverstand and Goldstein, 2020 ), inhibitory control (Luijten et al, 2014 ; Le et al, 2021 ) and executive function (Quaglieri et al, 2020 ), which underpin disease-specific behaviors such as craving, compulsive drug-taking, and relapse (Zilverstand and Goldstein, 2020 ; Ceceli et al, 2022 ). However, to date there are no established brain-based biomarkers for precision SUD treatment monitoring and outcome evaluation, partly because these brain systems also show dysregulation in a range of other psychiatric disorders, making SUD-specific biomarker development and validation difficult (García-Gutiérrez et al, 2020 ; Niculescu and Le-Niculescu, 2022 ).…”
Section: Introductionmentioning
confidence: 99%
“…The underlying neural mechanisms of drug cue-reactivity 15 are typically mapped while participants passively view drug and non-drug stimuli during functional MRI (fMRI). These mechanisms involve the recruitment of the NAcc and vmPFC/OFC in response to drug vs. neutral cues in individuals with alcohol, 16,17 nicotine, 18,19 cannabis, 20 or cocaine [21][22][23] use disorders. Increased drug cue related activity in these cortico-striatal regions is associated with higher self-reported craving in alcohol, 24 nicotine, 18 and cannabis 20 addiction.…”
Section: Introductionmentioning
confidence: 99%
“…These mechanisms involve the recruitment of the NAcc and vmPFC/OFC in response to drug vs. neutral cues in individuals with alcohol, 16,17 nicotine, 18,19 cannabis, 20 or cocaine [21][22][23] use disorders. Increased drug cue related activity in these cortico-striatal regions is associated with higher self-reported craving in alcohol, 24 nicotine, 18 and cannabis 20 addiction. Similarly in iHUD and compared to healthy control subjects (HC), passively viewing drug vs. neutral cues elicited enhanced activity in the NAcc and vmPFC/OFC among other nodes of the dopaminergic reward network, [25][26][27][28][29] as associated with heroin craving 25,26 and predictive of subsequent relapse.…”
Section: Introductionmentioning
confidence: 99%