Evidence map›Paper›PMID 39853319›Full record

SynthesisJournal of behavioral addictions2025

Neural mechanisms of behavioral addiction: An ALE meta-analysis and MACM analysis.

Zhaolan Li, Quanxing He, Jon D Elhai, Christian Montag, Haibo Yang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhaolan Li1Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.ORCID 0009-0003-3337-3241
Quanxing He1Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.ORCID 0009-0006-1617-7865
Jon D Elhai2Department of Psychology, University of Toledo, Toledo, OH, 43606, USA.ORCID 0000-0001-5205-9010
Christian Montag4Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany.ORCID 0000-0001-8112-0837
Haibo Yang1Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.ORCID 0000-0003-0386-5336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Behavioral addictions (BAs) represent complex and multifaceted disorders often associated with maladaptive neural alteration. To deepen our understanding of the essence of BAs, this study focuses on the neural mechanisms underlying its three stages: reward seeking, self-control, and decision-making. The aim of the current meta-analysis is to investigate the brain regions and neural networks involved in BAs. Methods: Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched for relevant articles published before September 1, 2024, in the Web of Science and PubMed databases, and supplemented our search with Google Scholar. We conducted analyses using activation likelihood estimation (ALE) meta-analysis and meta-analytic connectivity modeling (MACM) analyses. Results: A total of 50 functional magnetic resonance imaging studies involving 906 participants were included. The findings showed that individuals with BAs exhibited hyperactivation in the right inferior frontal gyrus (IFG), bilateral caudate and left middle frontal gyrus (MFG), and a high degree of connectivity was found between the right caudate, left caudate, and right IFG. These findings indicated that BAs were associated with the fronto-striatal circuits. Individuals with BAs demonstrate specific neural activation patterns in the reward seeking, self-control, and decision-making stages, characterized by differences in activation and functional connectivity of brain regions associated with these stages. Discussion and conclusions: This study verifies the pivotal role of the fronto-striatal circuits in BAs and highlights the specific patterns of brain activity in different stages of addictive behavior. These findings expand our understanding of neural mechanisms underlying BAs and supports and provide partial support for the I-PACE model.

Indexed as

Behavior, AddictiveBrainCaudate NucleusConnectomeNerve NetPrefrontal CortexSelf-ControlDecision MakingHumansLikelihood FunctionsMagnetic Resonance ImagingRewardactivation likelihood estimationbehavioral addictionmeta-analytic connectivity modeling

Identifiers

PMID39853319
PMCPMC11974436

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.