Evidence map›Paper›PMID 20026110›Full record

ReviewNeuroscience and biobehavioral reviews2010

Neurobehavioral evidence for changes in dopamine system activity during adolescence.

Dustin Wahlstrom, Tonya White, Monica Luciana

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 3 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

124 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Age-dependent effects of HFrontiers in psychiatry · 2025
    Article
  12. Evolutionary innovations in the primate dopaminergic system.Current opinion in genetics & development · 2024
    Review
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64 more citing papers are in PubMed but not listed here.

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

3 authors.

Dustin WahlstromDepartment of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.
Tonya White
Monica Luciana

Funding

Adolescent Brain Development and Effects of Drug AbuseR01DA017843 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LUCIANA, MONICA · 2004 to 2008
$2.8M
RESEARCH IN PSYCHOPATHOLOGYT32MH017069 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LUCIANA, MONICA · 1985 to 2011
$2.2M
NIDA NIH HHS R01 DA017843NIMH NIH HHS T32 MH017069
6 · The paper itself

Abstract

Human adolescence has been characterized by increases in risk-taking, emotional lability, and deficient patterns of behavioral regulation. These behaviors have often been attributed to changes in brain structure that occur during this developmental period, notably alterations in gray and white matter that impact synaptic architecture in frontal, limbic, and striatal regions. In this review, we provide a rationale for considering that these behaviors may be due to changes in dopamine system activity, particularly overactivity, during adolescence relative to either childhood or adulthood. This rationale relies on animal data due to limitations in assessing neurochemical activity more directly in juveniles. Accordingly, we also present a strategy that incorporates molecular genetic techniques to infer the status of the underlying tone of the dopamine system across developmental groups. Implications for the understanding of adolescent behavioral development are discussed.

Indexed as

AdolescentAnimalsBehaviorCatechol O-MethyltransferaseDopamineHuman DevelopmentHumansModels, NeurologicalCatechol O-MethyltransferaseDopamineAdolescenceBrain DevelopmentCOMTDopamineWorking Memory

Identifiers

PMID20026110
PMCPMC2845533

What OpenQuestion holds

Textmetadata
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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.