Evidence map›Paper›PMID 35378110›Full record

ArticleBehavioural brain research2022

Applying the Addictions Neuroclinical Assessment to derive neurofunctional domains in individuals who use methamphetamine.

Steven J Nieto, Lara A Ray

Open access · greenAbstract read
In one paragraph

Article in Behavioural brain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. New approaches to deep phenotyping in addictions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Review
  8. 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

2 authors at 1 institution in 1 country.

Steven J NietoDepartment of Psychology, University of California at Los Angeles, Los Angeles, CA, United States.
Lara A RayDepartment of Psychology, University of California at Los Angeles, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, United States. Electronic address: lararay@psych.ucla.edu.
University of California, Los Angeles · US

Funding

UCLA Training Program in Translational Neuroscience of Drug Abuse (TNDA)T32DA024635 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY, Kate M Wassum · 2008 to 2026
$6.2M
Clinical Neuroscience of Alcoholism: Integrating Neuroscience and Clinical TrialsK24AA025704 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY · 2018 to 2026
$1.3M
Applying behavioral economics to screen medications for alcohol use disorderF32AA029288 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NIETO, STEVEN J · 2021 to 2022
$115k
NIAAA NIH HHS F32 AA029288NIAAA NIH HHS K24 AA025704NIDA NIH HHS T32 DA024635
6 · The paper itself

Abstract

The Addictions Neuroclinical Assessment (ANA) was proposed as a neuroscience-informed clinical framework to understand heterogeneity in addiction encompassing dysfunction in three domains: incentive salience, negative emotionality, and executive functions. The ANA has been validated in the alcohol field but has not been extended to other substances. Thus, the objective of the current study was to replicate and extend the ANA framework to methamphetamine use disorder. Non-treatment seeking individuals (N = 185) who reported regular methamphetamine use completed a deep phenotyping battery comprising self-report and behavioral measures that assessed methamphetamine craving and emotional withdrawal symptoms, mood and anxiety symptomatology, risk-taking behaviors, working memory, attention, and impulsivity. Factor analytic techniques were used in an iterative manner to derive latent factors that explained biobehavioral variation in the sample. The relationship between factor scores and demographic and clinical indicators of methamphetamine use were examined to assess the construct validity of the latent factors. Deep phenotyping combined with factor analytic techniques implicated three intercorrelated neurofunctional domains that map on to the proposed ANA domains: incentive salience, negative emotionality, and executive function. Each of the domains were associated with demographic and clinical indicators of methamphetamine use providing initial support for their construct validity. The ANA framework holds promise for explaining heterogeneity in addiction by identifying neuroscience-informed phenotypes. Knowledge from the ANA framework may be applied to advance precision medicine and inform medications development for a host of substance use disorders, particularly those with no approved pharmacotherapy such as methamphetamine.

Indexed as

AlcoholismBehavior, AddictiveMethamphetamineHumansImpulsive BehaviorMotivationMethamphetamineAddictionAddictions Neuroclinical AssessmentMethamphetamine use disorderNeurofunctional domainsNeurosciencePhenotyping

Identifiers

PMID35378110
PMCPMC9150716
OpenAlexW4220733254

What OpenQuestion holds

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LicenceTDM
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 OpenQuestion graph.