Cited by 316Neurotransmitter Receptor Influence on BehaviorSubstance Abuse Treatment and OutcomesNeural and Behavioral Psychology Studies

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The Neural Basis of Drug Stimulus Processing and Craving: An Activation Likelihood Estimation Meta-Analysis

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Chase, Henry W., Eickhoff, Simon B., Laird, Angela R., Hogarth, Lee·2011·Biological Psychiatry

DOI 10.1016/j.biopsych.2011.05.025PMC PMC4827617

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Abstract

Background The capacity of drug cues to elicit drug-seeking behavior is believed to play a fundamental role in drug dependence; yet the neurofunctional basis of human drug cue-reactivity is not fully understood. We performed a meta-analysis to identify brain regions that are consistently activated by presentation of drug cues. Studies involving treatment-seeking and nontreatment-seeking substance users were contrasted to determine whether there were consistent differences in the neural response to drug cues between these populations. Finally, to assess the neural basis of craving, consistency across studies in brain regions that show correlated activation with craving was assessed. Methods Appropriate studies, assessing the effect of drug-related cues or manipulations of drug craving in drug-user populations across the whole brain, were obtained via the PubMed database and literature search. Activation likelihood estimation, a method of quantitative meta-analysis that estimates convergence across experiments by modeling the spatial uncertainty of neuroimaging data, was used to identify consistent regions of activation. Results Cue-related activation was observed in the ventral striatum (across both subgroups), amygdala (in the treatment-seeking subgroup and overall), and orbitofrontal cortex (in the nontreatment-seeking subgroup and overall) but not insula cortex. Although a different pattern of frontal and temporal lobe activation between the subgroups was observed, these differences were not significant. Finally, right amygdala and left middle frontal gyrus activity were positively associated with craving. Conclusions These results substantiate the key neural substrates underlying reactivity to drug cues and drug craving.

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Authors: Chase, H. W., Eickhoff, S. B., Laird, A. R., & Hogarth, L.
Affiliations: University of Nottingham (GB)
Forschungszentrum Jülich (DE)
The University of Texas at San Antonio Health Science Center (US)
Corresponding author: Chase, Henry W.
ORCID: Chase, Henry W.
Eickhoff, Simon B.
Laird, Angela R.
Hogarth, Lee
Venue: Biological Psychiatry
Publisher: Elsevier BV
Published: 2011-10
Volume: 70
Issue: 8
Pages: 785-793
ISSN: 0006-3223 (ISSN-L)
DOI: 10.1016/j.biopsych.2011.05.025
PMC: PMC4827617
OpenAlex: W2019447274
Cited by: 316
References: 132
Citations by year: 2026: 11 · 2025: 8 · 2024: 15 · 2023: 24 · 2022: 17 · 2021: 29 · 2020: 31 · 2019: 21 · 2018: 25 · 2017: 19 · 2016: 29 · 2015: 21 · 2014: 25 · 2013: 27 · 2012: 13
FWCI: 8.75
Type: journal article
Language: en
Update notices: erratum (2021-03-01)
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Biological Psychiatry (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
JuSER (Forschungszentrum Jülich) (submittedVersion)
RWTH Publications (RWTH Aachen) (submittedVersion)
Funders: Medical Research Council (G0701456, R01-MH074457-01A1)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: drug cue reactivity, drug craving, drug addiction, ventral striatum, amygdala, orbitofrontal cortex, insula cortex, middle frontal gyrus
MeSH terms: Algorithms, Brain, Brain Mapping, Cues, Humans, Patient Acceptance of Health Care, Behavior, Addictive, Drug-Seeking Behavior

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The Neural Basis of Drug Stimulus Processing and Craving: An Activation Likelihood Estimation Meta-Analysis

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