Evidence map›Paper›PMID 31344045›Full record

ArticlePloS one2019

Reward sensitivity and electrodermal responses to actions and outcomes in a go/no-go task.

Thang M Le, Wuyi Wang, Simon Zhornitsky, Isha Dhingra, Sheng Zhang, Chiang-Shan R Li

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Thang M LeDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-4196-8646
Wuyi WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Simon ZhornitskyDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Isha DhingraDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Sheng ZhangDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.

Funding

Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Large-scale Network Modeling for Brain Dynamics: Statistical Learning and OptimizationR01EB022911 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, XI · 2016 to 2018
$1.2M
Cerebral Correlates of Early Habitual DrinkingR01AA021449 · NIAAA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2013 to 2017
$1.2M
Thalamic cortical dysfunction and predictors of relapse in cocaine dependenceK25DA040032 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2015 to 2019
$834k
Imaging the monoaminergic midbrain and cognitive control in cocaine addictionR21DA044749 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$704k
Imaging the hypothalamus and motivation deficits in cocaine addictionR21DA045743 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2019 to 2020
$404k
A cholinergic mechanism of impulsive response in young adult cigarette smokersR21DA045189 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$401k
Aging and cerebral regulation of physiological responses to social emotionsR21MH113134 · NIMH · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2017 to 2018
$397k
NIAAA NIH HHS R01 AA021449NIBIB NIH HHS R01 EB022911NIDA NIH HHS K25 DA040032NIDA NIH HHS R01 DA023248NIDA NIH HHS R21 DA044749NIDA NIH HHS R21 DA045189NIDA NIH HHS R21 DA045743NIMH NIH HHS R21 MH113134
6 · The paper itself

Abstract

Skin conductance response (SCR) is used in psychophysiological research to measure the reactions of the autonomic nervous system to reward and punishment. While there is consistent evidence that SCR increases to both aversive and appetitive stimuli, it remains unclear whether SCR simply represents a general index of arousal to motivationally significant outcomes or may also differentiate action or inhibition of action that lead to such outcomes. Furthermore, individual differences in trait sensitivity to reward and punishment can influence physiological arousal during approach and avoidance behaviors. Yet, their inter-relationships have not been examined. To address these gaps, we employed a reward go/no-go task with ⅔ go and ⅓ no-go trials and an individually titrated go response window. Correct go and no-go responses were rewarded while incorrect responses were penalized. We examined whether SCR varied with outcome (win vs. loss), action (go vs. no-go), and individual differences in reward sensitivity (SR) and sex. The results showed greater SCRs to loss vs. win, to go vs. no-go success, and to go success in positive correlation with SR. Further, SCR mediated the relationship between SR and go success rate. In sex differences, men exhibited greater SCR which was more predictive of go success rate relative to women. In contrast, SCR was more predictive of no-go success rate in women. Thus, SCR varies according to behavioral contingency, outcome, sex, and reward sensitivity. These findings add to the literature by characterizing the individual and behavioral factors that may influence physiological arousal in response to salient events.

Indexed as

RewardAdultArousalAutonomic Nervous SystemAvoidance LearningFemaleGalvanic Skin ResponseHumansInhibition, PsychologicalLinear ModelsMaleMiddle AgedMotivationPersonalityPsychophysiologyPunishment

Identifiers

PMID31344045
PMCPMC6657849

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.