Cited by 138Substance Abuse Treatment and OutcomesNeurotransmitter Receptor Influence on BehaviorGambling Behavior and Treatments

Neurofunctional domains derived from deep behavioral phenotyping in alcohol use disorder

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Kwako, Laura E., Schwandt, Melanie L., Ramchandani, Vijay A., Diazgranados, Nancy, Koob, George F., Volkow, Nora D., Blanco, Carlos, Goldman, David·2019·American Journal of Psychiatry

Abstract

OBJECTIVE: The authors evaluated whether three neurofunctional domains proposed to be critical in the addiction cycle, namely, incentive salience, negative emotionality, and executive function, could be identified through factor analysis of a deeply phenotyped clinical sample. METHODS: Clinical, behavioral, and self-report measures of addiction, personality, cognition, behavior, and exposure to early-life stress were collected as part of a screening and natural history study of alcohol use disorders in 454 individuals representing the spectrum of alcohol use and use disorders. The multiple indicators, multiple causes (MIMIC) approach was used to identify significant predictors of the latent factors identified by the analysis. RESULTS: The results showed significant support for both three- and four-factor models to explain biobehavioral variation in this sample of participants with alcohol use disorder and control subjects, but the three-factor model had the best fit indices. With some nuances, including cross-correlation (lack of independence) between the three factors, the factors corresponded to incentive salience, negative emotionality, and executive function (executive control). The MIMIC model revealed that both exposure to early-life stress and sociodemographic variables predicted these factors. CONCLUSIONS: These findings suggest that three correlated neurofunctional domains are relevant for alcohol use disorder. More work is required to validate and standardize measures of neurofunctional domains in alcohol use disorder, to extend these findings to other addictive disorders, and to relate variations in them to predisposition, clinical course, treatment response, neuroimaging data, and other psychophysical indicators.

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Crossref · 10.1176/appi.ajp.2018.18030357

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  • In a subsequent study, the three neurofunctional domains proposed to be critical for the addiction cycle (incentive salience, negative emotionality, and executive function) were validated using a factor analysis of a deeply phenotyped clinical sample.

    “In a subsequent study, the three neurofunctional domains that were proposed to be critical for the addiction cycle (incentive salience, negative emotionality, and executive function) were validated using a factor analysis of a deeply phenotyped clinical sample (Kwako et al., 2019; Fig. 3).”

    From Drug Addiction: Hyperkatifeia/Negative Reinforcement as a Framework for Medications Development (2021) · cites this paper as Kwako et al., 2019

    The Results (Factor Structure) report that factor analysis identified three factors aligning well with the proposed domains in a clinical sample. But the Abstract (Conclusions) says the findings suggest the domains are relevant for AUD and that more work is required to validate and standardize their measures, so saying the domains were validated overstates the finding. (LLM, conf=0.84)

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  • In 454 individuals representing the spectrum of alcohol use and AUD, a three-factor model generally demonstrated a good fit with assessment measures, and the factors closely aligned with the Addictions Neuroclinical Assessment domains of incentive salience, negative emotionality, and executive function.

    “Clinical, behavioral, and self-report measures of addiction, personality, cognition, behavior, and exposure to early life stress were collected as part of a screening and natural history study of AUD in 454 individuals who represented the spectrum of alcohol use and AUD.A three-factor model generally demonstrated a good fit with the assessment measures, and the factors closely aligned with the Add”

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  1. [11]Muthén LK, Muthén BO: Mplus User’s Guide Seventh Edition. Los Angeles, CA, Muthén & Muthén; 1998–2015.

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Authors
Kwako, L. E., Schwandt, M. L., Ramchandani, V. A., Diazgranados, N., Koob, G. F., Volkow, N. D., Blanco, C., & Goldman, D.
Affiliations
National Institute on Alcohol Abuse and Alcoholism (US)
Corresponding author
Kwako, Laura E.
Venue
American Journal of Psychiatry
Published
2019-09-01
Volume
176
Issue
9
Pages
744-753
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2907276443
Cited by
138
References
44
Citations by year
2026: 9 · 2025: 13 · 2024: 21 · 2023: 22 · 2022: 19 · 2021: 29 · 2020: 18 · 2019: 7
FWCI
13.89
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (Z99‐AA999999)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
alcoholism, incentive salience, negative affectivity, executive function, early life stress, addiction cycle, behavioral phenotyping, multiple indicators multiple causes model, factor structure, sociodemographic predictors
MeSH terms
Adult, Alcoholism, Emotions, Female, Humans, Male, Middle Aged, Models, Psychological, Motivation, Neuropsychological Tests, Phenotype, Psychological Tests, Risk Factors, Case-Control Studies, Behavior, Addictive, Executive Function

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