Evidence map›Paper›PMID 29547978›Full record

Trial reportBrain : a journal of neurology2018

A neurocomputational account of reward and novelty processing and effects of psychostimulants in attention deficit hyperactivity disorder.

Arjun Sethi, Valerie Voon, Hugo D Critchley, Mara Cercignani, Neil A Harrison

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Attention-deficit/hyperactivity disorder and the explore/exploit trade-off.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Trial
  4. Maternal immune activation in mice recapitulates features of attention-deficit/hyperactivity disorder (ADHD) in susceptible offspring.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. The Impact of Social Media & Technology on Child and Adolescent Mental Health.Journal of psychiatry and psychiatric disorders · 2025
    Article
  9. Article
  10. Motor System-Dependent Effects of Amygdala and Ventral Striatum Lesions on Explore-Exploit Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Unravelling the effects of methylphenidate on the dopaminergic and noradrenergic functional circuits.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Arjun SethiDepartment of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
Valerie VoonDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Hugo D CritchleyDepartment of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
Mara CercignaniDepartment of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
Neil A HarrisonDepartment of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
Brighton and Sussex Medical School · GBUniversity of Cambridge · GB

Funding

Medical Research Council MR/P008747/1Wellcome TrustWellcome Trust 093881/Z/10/Z
6 · The paper itself

Abstract

Computational models of reinforcement learning have helped dissect discrete components of reward-related function and characterize neurocognitive deficits in psychiatric illnesses. Stimulus novelty biases decision-making, even when unrelated to choice outcome, acting as if possessing intrinsic reward value to guide decisions toward uncertain options. Heightened novelty seeking is characteristic of attention deficit hyperactivity disorder, yet how this influences reward-related decision-making is computationally encoded, or is altered by stimulant medication, is currently uncertain. Here we used an established reinforcement-learning task to model effects of novelty on reward-related behaviour during functional MRI in 30 adults with attention deficit hyperactivity disorder and 30 age-, sex- and IQ-matched control subjects. Each participant was tested on two separate occasions, once ON and once OFF stimulant medication. OFF medication, patients with attention deficit hyperactivity disorder showed significantly impaired task performance (P = 0.027), and greater selection of novel options (P = 0.004). Moreover, persistence in selecting novel options predicted impaired task performance (P = 0.025). These behavioural deficits were accompanied by a significantly lower learning rate (P = 0.011) and heightened novelty signalling within the substantia nigra/ventral tegmental area (family-wise error corrected P < 0.05). Compared to effects in controls, stimulant medication improved attention deficit hyperactivity disorder participants' overall task performance (P = 0.011), increased reward-learning rates (P = 0.046) and enhanced their ability to differentiate optimal from non-optimal novel choices (P = 0.032). It also reduced substantia nigra/ventral tegmental area responses to novelty. Preliminary cross-sectional evidence additionally suggested an association between long-term stimulant treatment and a reduction in the rewarding value of novelty. These data suggest that aberrant substantia nigra/ventral tegmental area novelty processing plays an important role in the suboptimal reward-related decision-making characteristic of attention deficit hyperactivity disorder. Compared to effects in controls, abnormalities in novelty processing and reward-related learning were improved by stimulant medication, suggesting that they may be disorder-specific targets for the pharmacological management of attention deficit hyperactivity disorder symptoms.

Indexed as

Attention Deficit Disorder with HyperactivityModels, NeurologicalRewardAdultCase-Control StudiesCentral Nervous System StimulantsChoice BehaviorCross-Sectional StudiesDouble-Blind MethodExploratory BehaviorFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMethylphenidateCentral Nervous System StimulantsMethylphenidate

Identifiers

PMID29547978
PMCPMC5917772
OpenAlexW2792577143

What OpenQuestion holds

Textmetadata
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.