Evidence map›Paper›PMID 29567584›Full record

ArticleDevelopmental cognitive neuroscience2018

Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence.

F Nemmi, C Nymberg, F Darki, T Banaschewski, A L W Bokde, C Büchel, H Flor, V Frouin, H Garavan, P Gowland and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 14 institutions in 7 countries.

F NemmiDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden. Electronic address: federico.nemmi@ki.se.
C NymbergDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
F DarkiDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
T BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
A L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland.
C BüchelUniversity Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
H FlorDepartment of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
V FrouinNeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
H GaravanDepartments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA.
P GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham,University Park, Nottingham, United Kingdom.
A HeinzDepartment of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany.
J-L MartinotInstitut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud - Paris Saclay, University Paris Descartes, Service Hospitalier Frédéric Joliot, Orsay; and Maison de Solenn, Paris, France.
F NeesDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
T PausRotman Research Institute, Baycrest and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada.
M N SmolkaDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
T W RobbinsDepartment of Psychology, Behavioral and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
G SchumannMedical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
T KlingbergDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
IMAGEN consortium
Karolinska Institutet · SEHeidelberg University · DECharité - Universitätsmedizin Berlin · DECommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInserm · FRKing's College London · GBTechnische Universität Dresden · DETrinity College Dublin · IEUniversität Hamburg · DEUniversity of Cambridge · GBUniversity of Mannheim · DEUniversity of Nottingham · GBUniversity of Toronto · CAUniversity of Vermont · US

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Axon, Testosterone and Mental Health during AdolescenceR01MH085772 · NIMH · BAYCREST CENTRE FOR GERIATRIC CARE · PI PAUS, TOMAS · 2010 to 2014
$1.5M
Medical Research Council MR/N000390/1Medical Research Council MR/N027558/1NIBIB NIH HHS U54 EB020403NIMH NIH HHS R01 MH085772
6 · The paper itself

Abstract

There is considerable inter-individual variability in the rate at which working memory (WM) develops during childhood and adolescence, but the neural and genetic basis for these differences are poorly understood. Dopamine-related genes, striatal activation and morphology have been associated with increased WM capacity after training. Here we tested the hypothesis that these factors would also explain some of the inter-individual differences in the rate of WM development. We measured WM performance in 487 healthy subjects twice: at age 14 and 19. At age 14 subjects underwent a structural MRI scan, and genotyping of five single nucleotide polymorphisms (SNPs) in or close to the dopamine genes DRD2, DAT-1 and COMT, which have previously been associated with gains in WM after WM training. We then analyzed which biological factors predicted the rate of increase in WM between ages 14 and 19. We found a significant interaction between putamen size and DAT1/SLC6A3 rs40184 polymorphism, such that TC heterozygotes with a larger putamen at age 14 showed greater WM improvement at age 19. The effect of the DAT1 polymorphism on WM development was exerted in interaction with striatal morphology. These results suggest that development of WM partially share neuro-physiological mechanism with training-induced plasticity.

Indexed as

AdolescentAdultCorpus StriatumDopamine Plasma Membrane Transport ProteinsFemaleHumansLearningMaleMemory, Short-TermPolymorphism, GeneticYoung AdultDopamine Plasma Membrane Transport ProteinsSLC6A3 protein, humanDAT-1DevelopmentDopaminers40184StriatumWorking memory

Identifiers

PMID29567584
PMCPMC6969124
OpenAlexW2791264398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.