Evidence map›Paper›PMID 26772405›Full record

ReviewBiological psychiatry2016

Addictions Neuroclinical Assessment: A Neuroscience-Based Framework for Addictive Disorders.

Laura E Kwako, Reza Momenan, Raye Z Litten, George F Koob, David Goldman

Registry-linked trialAbstract readReview
In one paragraph

Review in Biological psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04946851 (Addictions Neuroclinical Assessment), which is not on this map. Cited by 226 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing papers in PubMed, 9 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.

NCT04946851 enrolling by invitationnot on this mapstarted 2021, after this paper: background citation

Addictions Neuroclinical Assessment

TypeobservationalSponsorNational Institute on Alcohol Abuse and Alcoholism (NIAAA)Ran2021 to 2031Enrolled1,400ConditionsNormal Physiology, Alcohol Use Disorder
3 · Its place in the literature

Who cites it

226 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Trial
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  12. Genetically influenced externalizing and internalizing risk pathways as novel prevention targets.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  13. Trial
  14. Review
  15. Article
  16. Article
  17. Review
  18. Classification of Alcohol Use Disorder With Explainable AI.Alcohol, clinical & experimental research · 2026
    Article
  19. Article
  20. Observational

166 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Laura E KwakoOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland. Electronic address: laura.kwako@nih.gov.
Reza MomenanSection on Brain Electrophysiology and Imaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Raye Z LittenDivision of Intramural Clinical and Biological Research; Division of Treatment and Recovery Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
George F KoobOffice of the Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
David GoldmanOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland; Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
NIAAA Repository/Screening Database Management and ResearchZIAAA000130 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI SCHWANDT, MELANIE · 2017 to 2025
$60.1M
Intramural NIH HHS Z99 AA999999
6 · The paper itself

Abstract

This article proposes a heuristic framework for the Addictions Neuroclinical Assessment that incorporates key functional domains derived from the neurocircuitry of addiction. We review how addictive disorders (ADs) are presently diagnosed and the need for new neuroclinical measures to differentiate patients who meet clinical criteria for addiction to the same agent while differing in etiology, prognosis, and treatment response. The need for a better understanding of the mechanisms provoking and maintaining addiction, as evidenced by the limitations of current treatments and within-diagnosis clinical heterogeneity, is articulated. In addition, recent changes in the nosology of ADs, challenges to current classification systems, and prior attempts to subtype individuals with ADs are described. Complementary initiatives, including the Research Domain Criteria project, that have established frameworks for the neuroscience of psychiatric disorders are discussed. Three domains-executive function, incentive salience, and negative emotionality-tied to different phases in the cycle of addiction form the core functional elements of ADs. Measurement of these domains in epidemiologic, genetic, clinical, and treatment studies will provide the underpinnings for an understanding of cross-population and temporal variation in addictions, shared mechanisms in addictive disorders, impact of changing environmental influences, and gene identification. Finally, we show that it is practical to implement such a deep neuroclinical assessment using a combination of neuroimaging and performance measures. Neuroclinical assessment is key to reconceptualizing the nosology of ADs on the basis of process and etiology, an advance that can lead to improved prevention and treatment.

Indexed as

Behavior, AddictiveNeuroimagingNeuropsychological TestsEmotionsExecutive FunctionHumansModels, PsychologicalMotivationSubstance-Related DisordersAddictionAssessmentDiagnosisNeuroimagingNosologySubstance use

Identifiers

PMID26772405
PMCPMC4870153

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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.