Evidence map›Paper›PMID 29688082›Full record

ArticleChronobiology international2018

Evidence of a diurnal rhythm in implicit reward learning.

Alexis E Whitton, Malavika Mehta, Manon L Ironside, Greg Murray, Diego A Pizzagalli

Abstract read
In one paragraph

Article in Chronobiology international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Alexis E Whittona McLean Hospital & Harvard Medical School , Belmont , MA , USA.
Malavika Mehtaa McLean Hospital & Harvard Medical School , Belmont , MA , USA.
Manon L Ironsidea McLean Hospital & Harvard Medical School , Belmont , MA , USA.
Greg Murrayb Department of Psychological Sciences , Swinburne University , Hawthorn , Victoria , Australia.
Diego A Pizzagallia McLean Hospital & Harvard Medical School , Belmont , MA , USA.

Funding

Neuroimaging Studies of Reward Processing in DepressionR37MH068376 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI Diego A Pizzagalli · 2016 to 2026
$7.4M
Neuroimaging Studies of Reward Processing in DepressionR01MH068376 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2004 to 2014
$4.5M
Multi level Analysis of Positive Valence Systems Across Mood DisordersR01MH101521 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2013 to 2016
$2.1M
NIMH NIH HHS R01 MH068376NIMH NIH HHS R01 MH101521NIMH NIH HHS R37 MH068376
6 · The paper itself

Abstract

Many aspects of hedonic behavior, including self-administration of natural and drug rewards, as well as human positive affect, follow a diurnal cycle that peaks during the species-specific active period. This variation has been linked to circadian modulation of the mesolimbic dopamine system, and is hypothesized to serve an adaptive function by driving an organism to engage with the environment during times where the opportunity for obtaining rewards is high. However, relatively little is known about whether more complex facets of hedonic behavior - in particular, reward learning - follow the same diurnal cycle. The current study aimed to address this gap by examining evidence for diurnal variation in reward learning on a well-validated probabilistic reward learning task (PRT). PRT data from a large normative sample (N = 516) of non-clinical individuals, recruited across eight studies, were examined for the current study. The PRT uses an asymmetrical reinforcement ratio to induce a behavioral response bias, and reward learning was operationalized as the strength of this response bias across blocks of the task. Results revealed significant diurnal variation in reward learning, however in contrast to patterns previously observed in other aspects of hedonic behavior, reward learning was lowest in the middle of the day. Although a diurnal pattern was also observed on a measure of more general task performance (discriminability), this did not account for the variation observed in reward learning. Taken together, these findings point to a distinct diurnal pattern in reward learning that differs from that observed in other aspects of hedonic behavior. The results of this study have important implications for our understanding of clinical disorders characterized by both circadian and reward learning disturbances, and future research is needed to confirm whether this diurnal variation has a truly circadian origin.

Indexed as

Association LearningCircadian RhythmRewardAdolescentAdultAffectAgedAnhedoniaAnxietyDepressionFemaleHumansMaleMiddle AgedReaction TimeTime Factorsanhedoniacircadian rhythmsdopamineReward learning

Identifiers

PMID29688082
PMCPMC6174688

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Registered trials

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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.