Evidence map›Paper›PMID 22806330›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2012

Reinforcement, dopamine and rodent models in drug development for ADHD.

Gail Tripp, Jeff Wickens

Abstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Habituation of reinforcer effectiveness.Frontiers in integrative neuroscience · 2014
    Review
  9. Article
  10. Review
  11. Complexity of dopamine metabolism.Cell communication and signaling : CCS · 2013
    Article
  12. Article
  13. New directions for therapeutics in ADHD.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2012
    Article
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.

Gail TrippHuman Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Kunigami, Okinawa 904-0412, Japan. tripp@oist.jp
Jeff Wickens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention deficit hyperactivity disorder (ADHD) presents special challenges for drug development. Current treatment with psychostimulants and nonstimulants is effective, but their mechanism of action beyond the cellular level is incompletely understood. We review evidence suggesting that altered reinforcement mechanisms are a fundamental characteristic of ADHD. We show that a deficit in the transfer of dopamine signals from established positive reinforcers to cues that predict such reinforcers may underlie these altered reinforcement mechanisms, and in turn explain key symptoms of ADHD. We argue that the neural substrates controlling the excitation and inhibition of dopamine neurons during the transfer process are a promising target for future drug development. There is a need to develop animal models and behavioral paradigms that can be used to experimentally investigate these mechanisms and their effects on sensitivity to reinforcement. More specific and selective targeting of drug development may be possible through this approach.

Indexed as

Disease Models, AnimalDrug DesignReinforcement, PsychologyAnimalsAttention Deficit Disorder with HyperactivityDopamineDopamine AgentsHumansRodentiaDopamineDopamine Agents

Identifiers

PMID22806330
PMCPMC3441939

What OpenQuestion holds

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LicenceCC BY
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.