ArticleNeuroImage. Clinical2021
Resting state functional connectivity in the default mode network: Relationships between cannabis use, gender, and cognition in adolescents and young adults.
Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- How adolescent cannabis use reshapes the developing brain - a systematic review.Frontiers in psychiatry · 2026Pooled it
- EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach.Psychopharmacology · 2026Article
- Associations Between Youth Marijuana and Alcohol Use, Neurocognitive Performance, and Triple-Network Resting-State Connectivity.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Altered reward-related resting-state network properties in adolescent cannabis use and depression.Progress in neuro-psychopharmacology & biological psychiatry · 2026Article
- Potentially traumatic events and substance use do not predict changes in resting state functional connectivity in early adolescence.NeuroImage · 2026Article
- Endocannabinoid dysregulation and PTSD in urban adolescents: Associations with anandamide concentrations and FAAH genotype.Psychopharmacology · 2026Article
- The role of sex in the association between cannabis use disorder and resting-state functional connectivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.Medical image analysis · 2025Article
- Network topology and cannabis use following two weeks of monitored abstinence: moderation of sex and patterns of use findings.Frontiers in adolescent medicine · 2025Article
- Biomarkers of cognitive and memory decline in psychotropic drug users.Journal of neural transmission (Vienna, Austria : 1996) · 2025Review
- Article
- A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use.bioRxiv : the preprint server for biology · 2024Article
- Abnormal developmental of structural covariance networks in young adults with heavy cannabis use: a 3-year follow-up study.Translational psychiatry · 2024Article
- Exploring the Link Between Attention-Deficit Hyperactivity Disorder and Cannabis Use Disorders: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2023Review
- Neuroimaging and immunological features of neurocognitive function related to substance use in people with HIV.Journal of neurovirology · 2023Article
- Effects of inhaled cannabis high in Δ9-THC or CBD on the aging brain: A translational MRI and behavioral study.Frontiers in aging neuroscience · 2023Article
- A Meta-Analysis of fMRI Studies of Youth Cannabis Use: Alterations in Executive Control, Social Cognition/Emotion Processing, and Reward Processing in Cannabis Using Youth.Brain sciences · 2022Article
- Disrupted Resting State Attentional Network Connectivity in Adolescent and Young Adult Cannabis Users following Two-Weeks of Monitored Abstinence.Brain sciences · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCannabis is the most commonly used illicit substance in the United States, and nearly 1 in 4 young adults are current cannabis users. Chronic cannabis use is associated with changes in resting state functional connectivity (RSFC) in the default mode network (DMN) in adolescents and young adults; results are somewhat inconsistent across studies, potentially due to methodological differences. The aims of the present study were to examine potential differences in DMN RSFC between cannabis users and controls, and to examine, as an exploratory analysis, if gender moderated any findings. We further examined whether differences in RSFC related to differences in performance on selected neuropsychological measures. MATERIALS AND
methodsSeventy-seven 16-26-year-old participants underwent an MRI scan (including resting state scan), neuropsychological battery, toxicology screening, and drug use interview. Differences in DMN connectivity were examined between groups (cannabis vs. control) and with an exploratory group by gender interaction, using a left posterior cingulate cortex (PCC) seed-based analysis conducted in AFNI.
resultsCannabis users demonstrated weaker connectivity than controls between the left PCC and various DMN nodes, and the right Rolandic operculum/Heschl's gyrus. Cannabis users demonstrated stronger connectivity between the left PCC and the cerebellum and left supramarginal gyrus. The group by gender interaction was not significantly associated with connectivity differences. Stronger left PCC-cerebellum connectivity was associated with poorer performance on cognitive measures in cannabis users. In controls, intra-DMN connectivity was positively correlated with performance on a speeded selective/sustained attention measure. DISCUSSION: Consistent with our hypotheses and other studies, cannabis users demonstrated weaker connectivity between the left PCC and DMN nodes. Chronic THC exposure may alter GABA and glutamate concentrations, which may alter brain communication. Future studies should be conducted with a larger sample size and examine gender differences and the mechanism by which these differences may arise.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.