Evidence map›Paper›PMID 32208896›Full record

ArticleJournal of neurophysiology2020

Frontal scalp potentials foretell perceptual choice confidence.

Koeun Lim, Wei Wang, Daniel M Merfeld

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2020. 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
  2. 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

3 authors.

Koeun LimJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Wei WangDepartments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts.
Daniel M MerfeldJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.

Funding

Employing Vestibular Thresholds to Improve Patient DiagnosisR01DC014924 · NIDCD · OHIO STATE UNIVERSITY · PI LEWIS, RICHARD F, MERFELD, DANIEL M · 2015 to 2019
$2.7M
NIDCD NIH HHS R01 DC014924
6 · The paper itself

Abstract

When making decisions, people naturally ask two implicit questions: how soon can I make a decision, and how certain am I? In perception, people's confidence (how certain?) shows a nonmonotonic relationship with response time (how soon?), such that choice confidence can either increase or decrease with response time. Although a frontoparietal network has been implicated as a neural substrate that binds choice confidence and action (e.g., response time), the dynamic interplay between choice behaviors within such a network has not been clarified. Here, we show that frontal event-related potentials (ERPs) reflect choice confidence before a decision. Specifically, we report a second positive peak of the stimulus-locked frontal ERP at ~500 ms that scales with confidence but not stimulus level, whereas the centroparietal ERP amplitude covaries inversely with response time. This frontal ERP component occurs before the response, which helps explain the inverse relationship between choice confidence and response time (i.e., higher confidence for shorter response time) when choice accuracy is emphasized over speed. Our findings provide the first early neural representation of confidence, consistent with the temporal precedence for its causal role in the current decision-making task: "I decided earlier because I am confident."

Indexed as

AdultChoice BehaviorElectroencephalographyEvoked PotentialsFemaleFrontal LobeHumansMaleMetacognitionMiddle AgedNerve NetParietal LobeReaction TimeYoung Adultchoice confidencedecision-makingERPperceptionSVV

Identifiers

PMID32208896
PMCPMC7191527

What OpenQuestion holds

Textmetadata
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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.