Evidence map›Paper›PMID 20631684›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2011

Neurogenetics and pharmacology of learning, motivation, and cognition.

Michael J Frank, John A Fossella

Abstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–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

101 citing papers in PubMed.

  1. Activation of D1 receptors affects human reactivity and flexibility to valued cues.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Trial
  2. Trial
  3. Trial
  4. Dopamine, locus of control, and the exploration-exploitation tradeoff.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015
    Trial
  5. Role of dopamine D2 receptors in human reinforcement learning.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. From symptom-based heterogeneity to mechanism-based profiling in youth ADHD: the promise of computational psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  13. Brain sciences · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Predicted utility modulates working memory fidelity in the brain.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article

41 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

2 authors.

Michael J FrankDepartment of Cognitive, Linguistic and Psychological Sciences, Brown Institute for Brain Science, Brown University, Providence, RI 02912-1978, USA. michael_frank@brown.edu
John A Fossella

Funding

Clinical and Computational Studies of Dopamine Function in SchizophreniaR01MH080066 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLD, JAMES M. · 2008 to 2017
$6.4M
NIMH NIH HHS R01 MH080066NIMH NIH HHS R01 MH080066-01
6 · The paper itself

Abstract

Many of the individual differences in cognition, motivation, and learning-and the disruption of these processes in neurological conditions-are influenced by genetic factors. We provide an integrative synthesis across human and animal studies, focusing on a recent spate of evidence implicating a role for genes controlling dopaminergic function in frontostriatal circuitry, including COMT, DARPP-32, DAT1, DRD2, and DRD4. These genetic effects are interpreted within theoretical frameworks developed in the context of the broader cognitive and computational neuroscience literature, constrained by data from pharmacological, neuroimaging, electrophysiological, and patient studies. In this framework, genes modulate the efficacy of particular neural computations, and effects of genetic variation are revealed by assays designed to be maximally sensitive to these computations. We discuss the merits and caveats of this approach and outline a number of novel candidate genes of interest for future study.

Indexed as

AnimalsCognitionCorpus StriatumDopamineDopamine and cAMP-Regulated Phosphoprotein 32Dopamine Plasma Membrane Transport ProteinsGenetic VariationHumansLearningMotivationPolymorphism, GeneticPrefrontal CortexReceptors, Dopamine D2Receptors, Dopamine D4DopamineDopamine and cAMP-Regulated Phosphoprotein 32Dopamine Plasma Membrane Transport ProteinsDRD4 protein, humanPPP1R1B protein, humanReceptors, Dopamine D2Receptors, Dopamine D4SLC6A3 protein, human

Identifiers

PMID20631684
PMCPMC3055524

What OpenQuestion holds

Textmetadata
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.