The Addiction Neurocircuitry and Resting‐State Functional Connectivity in Cannabis Use Disorder: An fMRI Study

Cannabis use disorder (CUD) affects ~22-million people globally and is characterised by difficulties in cutting down and quitting use, but the underlying neurobiology remains unclear. We examined resting-state functional connectivity (rsFC) between regions of interest (ROIs) of the addiction neurocircuitry and the rest of the brain in 65 individuals with moderate-to-severe CUD who reported attempts to cut down or quit, compared to 42 controls, and explored the association between rsFC and cannabis exposure and related problems, to elucidate potential drivers of rsFC alterations. The CUD group showed greater rsFC than controls between ROIs implicated in reward processing and habitual substance use (i.e., nucleus accumbens, putamen and pallidum) and occipito/parietal areas implicated in salience processing and disinhibition. Putamen-occipital rsFC correlated with levels of problematic cannabis use and depression symptoms. CUD appears to show neuroadaptations of the addiction neurocircuitry, previously demonstrated in other substance use disorders.

Authors

Institutions

Publication Details

Journal
Addiction Biology
Published
2025-12-01
DOI
https://doi.org/10.1111/adb.70105
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Addiction Neurocircuitry and Resting‐State Functional Connectivity in Cannabis Use Disorder: An fMRI Study

Arush Honnedevasthana Arun, Chao Suo, Izelle Labuschagne, Hannah Sehl et al.
Addiction Biology
Functional Brain Connectivity Studies
article

The Addiction Neurocircuitry and Resting‐State Functional Connectivity in Cannabis Use Disorder: An fMRI Study

Arush Honnedevasthana Arun, Chao Suo, Izelle Labuschagne, Hannah Sehl, Govinda Poudel, Adam Clemente, Eugene McTavish, Hannah Thomson, Valentina Lorenzetti, Lisa‐Marie Greenwood, Emillie Beyer, Gill Terrett, Peter G. Rendell, Victoria Manning, Marianna Quinones‐Valera
article en

Abstract

Cannabis use disorder (CUD) affects ~22-million people globally and is characterised by difficulties in cutting down and quitting use, but the underlying neurobiology remains unclear. We examined resting-state functional connectivity (rsFC) between regions of interest (ROIs) of the addiction neurocircuitry and the rest of the brain in 65 individuals with moderate-to-severe CUD who reported attempts to cut down or quit, compared to 42 controls, and explored the association between rsFC and cannabis exposure and related problems, to elucidate potential drivers of rsFC alterations. The CUD group showed greater rsFC than controls between ROIs implicated in reward processing and habitual substance use (i.e., nucleus accumbens, putamen and pallidum) and occipito/parietal areas implicated in salience processing and disinhibition. Putamen-occipital rsFC correlated with levels of problematic cannabis use and depression symptoms. CUD appears to show neuroadaptations of the addiction neurocircuitry, previously demonstrated in other substance use disorders.

Addiction BiologyVol. 30(12)
Australian National University (AU), Allen Institute for Brain Science (US), The University of Queensland (AU), Eastern Health (AU), Monash University (AU), Australian Catholic University (AU)
Australian Government, Australian Catholic University, Rebecca L. Cooper Medical Research Foundation, University of Technology Sydney, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 61%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.