ReviewAddiction biology2014
The cerebellum and addiction: insights gained from neuroimaging research.
Review in Addiction biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 8 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
115 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- The genetics of cannabis lifetime use.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Pooled it
- The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- The role of the cerebellum in internet gaming disorder-A systematic review.Addiction biology · 2023Pooled it
- Do mindfulness-based interventions change brain function in people with substance dependence? A systematic review of the fMRI evidence.BMC psychiatry · 2023Pooled it
- The Neural Substrate of Reward Anticipation in Health: A Meta-Analysis of fMRI Findings in the Monetary Incentive Delay Task.Neuropsychology review · 2018Pooled it
- Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence.Molecular psychiatry · 2018Pooled it
- Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes.Nature genetics · 2017Pooled it
- Chronic cigarette smoking is linked with structural alterations in brain regions showing acute nicotinic drug-induced functional modulations.Behavioral and brain functions : BBF · 2016Pooled it
- Predicting IGD treatment outcomes across interventions using a whole-brain functional connectome biomarker.Dialogues in clinical neuroscience · 2027Trial
- Psilocybin-induced changes in neural reactivity to alcohol and emotional cues in patients with alcohol use disorder: an fMRI pilot study.Scientific reports · 2024Trial
- Chronic cannabis use is associated with alterations in resting-state cerebellar-cortical connectivity.Psychopharmacology · 2026Article
- 2D:4D digit ratio and brain volumes in alcohol use disorder.European archives of psychiatry and clinical neuroscience · 2026Article
- Multiple sources of β2*-nicotinic acetylcholine receptor binding are differentially affected during tobacco smoking abstinence as revealed by Independent Component Analysis of [Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Article
- Differentiating Alcohol and Substance Use Disorders Using Multiclass Machine Learning Models Based on Routine Hemogram Parameters.Healthcare (Basel, Switzerland) · 2026Article
- Cell-type specific impact of opioid use disorder and HIV on the human forebrain and cerebellum.bioRxiv : the preprint server for biology · 2026Article
- Altered Brain Dynamics in Heavy Smokers Revealed by Dynamic Functional Network Connectivity Analysis.Brain topography · 2026Article
- Identification and molecular functional analysis of genes associated with addiction using integrated genetic web-based programs and databases.Frontiers in genetics · 2026Article
- What Do Thirty Years of Neuroimaging Research Tell Us About Recreational Cannabis Use and Brain Integrity? A Narrative Review of the Multimodal Neuroimaging Evidence to Date.Substance abuse and rehabilitation · 2026Review
- Neural mechanisms of food preference and reward processing: a review of multifaceted influencing factors and intervention strategies.Frontiers in nutrition · 2026Review
55 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Although cerebellar alterations have been consistently noted in the addiction literature, the pathophysiology of this link remains unclear. The cerebellum is commonly classified as a motor structure, but human functional neuroimaging along with clinical observations in cerebellar stroke patients and anatomical tract tracing in non-human primates suggests its involvement in cognitive and affective processing. A comprehensive literature search on the role of the cerebellum in addiction was performed. This review article (1) considers the potential role of the cerebellum in addiction; (2) summarizes the cerebellar structural alterations linked to addiction; (3) presents the functional neuroimaging evidence linking the cerebellum with addiction; and (4) proposes a model for addiction that underscores the role of the cerebellum. The data implicate the cerebellum as an intermediary between motor and reward, motivation and cognitive control systems, as all are relevant etiologic factors in addiction. Furthermore, consideration of these findings could contribute to deeper and more sophisticated insights into normal reward and motivational function. The goal of this review is to spread awareness of cerebellar involvement in addictive processes, and to suggest a preliminary model for its potential role.
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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 OpenQuestion graph.