Evidence map›Paper›PMID 28553839›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2017

A Primer on Foraging and the Explore/Exploit Trade-Off for Psychiatry Research.

M A Addicott, J M Pearson, M M Sweitzer, D L Barack, M L Platt

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 223 citations in OpenAlex.

  1. Pooled it
  2. Acetylcholine and noradrenaline enhance foraging optimality in humans.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Trial
  3. Attention-deficit/hyperactivity disorder and the explore/exploit trade-off.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Trial
  4. Article
  5. Article
  6. Review
  7. Sex-biased computations underlying differential set shift performance in mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

44 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

5 authors at 3 institutions in 1 country.

M A AddicottDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
J M PearsonCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA.
M M SweitzerDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
D L BarackDepartment of Philosophy and Neuroscience, Columbia University, New York, NY, USA.
M L PlattDepartments of Psychology, Neuroscience, and Marketing, University of Pennsylvania, Philadelphia, PA, USA.
Duke University · USColumbia University · USUniversity of Pennsylvania · US

Funding

Targeting reward dysfunction as a mechanism to improve smoking cessationK23DA039294 · NIDA · DUKE UNIVERSITY · PI SWEITZER, MAGGIE M · 2016 to 2020
$817k
Acute and Chronic Nicotine Modulation of Reinforcement LearningK01DA033347 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI ADDICOTT, MERIDETH A. · 2013 to 2017
$734k
Nonparametric Bayes Methods for Big Data in NeuroscienceK01ES025442 · NIEHS · DUKE UNIVERSITY · PI PEARSON, JOHN · 2014 to 2018
$732k
NIDA NIH HHS K01 DA033347NIDA NIH HHS K23 DA039294NIEHS NIH HHS K01 ES025442
6 · The paper itself

Abstract

Foraging is a fundamental behavior, and many types of animals appear to have solved foraging problems using a shared set of mechanisms. Perhaps the most common foraging problem is the choice between exploiting a familiar option for a known reward and exploring unfamiliar options for unknown rewards-the so-called explore/exploit trade-off. This trade-off has been studied extensively in behavioral ecology and computational neuroscience, but is relatively new to the field of psychiatry. Explore/exploit paradigms can offer psychiatry research a new approach to studying motivation, outcome valuation, and effort-related processes, which are disrupted in many mental and emotional disorders. In addition, the explore/exploit trade-off encompasses elements of risk-taking and impulsivity-common behaviors in psychiatric disorders-and provides a novel framework for understanding these behaviors within an ecological context. Here we explain relevant concepts and some common paradigms used to measure explore/exploit decisions in the laboratory, review clinically relevant research on the neurobiology and neuroanatomy of explore/exploit decision making, and discuss how computational psychiatry can benefit from foraging theory.

Indexed as

AnimalsAppetitive BehaviorBiomedical ResearchBrainDecision MakingExploratory BehaviorHumansMental DisordersPsychiatry

Identifiers

PMID28553839
PMCPMC5561336
OpenAlexW2616909309

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.