Evidence map›Paper›PMID 38234476›Full record

ArticleFrontiers in neuroergonomics2023

An investigation of cardiac vagal tone over time and its relation to vigilance performance: a growth curve modeling approach.

Shannon P D McGarry, Brittany N Neilson, Noelle L Brown, Kaylin D Strong, Eric T Greenlee, Martina I Klein, Joseph T Coyne

Abstract read
In one paragraph

Article in Frontiers in neuroergonomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shannon P D McGarryInformation Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States.
Brittany N NeilsonOperational Psychology Department, Naval Aerospace Medical Institute, Pensacola, FL, United States.
Noelle L BrownInformation Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States.
Kaylin D StrongStrategic Analysis, Inc., Arlington, VA, United States.
Eric T GreenleeDepartment of Psychological Sciences, Texas Tech University, Lubbock, TX, United States.
Martina I KleinDepartment of Psychological Sciences, Texas Tech University, Lubbock, TX, United States.
Joseph T CoyneInformation Technology Division, U.S. Naval Research Laboratory, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Research over the last couple of decades has demonstrated a relationship between psychophysiological measures, specifically cardiac functions, and cognitive performance. Regulation of the cardiac system under parasympathetic control is commonly referred to as cardiac vagal tone and is associated with the regulation of cognitive and socioemotional states. The goal of the current study was to capture the dynamic relationship between cardiac vagal tone and performance in a vigilance task. Method/Results: We implemented a longitudinal growth curve modeling approach which unveiled a relationship between cardiac vagal tone and vigilance that was non-monotonic and dependent upon each person. Discussion: The findings suggest that cardiac vagal tone may be a process-based physiological measure that further explains how the vigilance decrement manifests over time and differs across individuals. This contributes to our understanding of vigilance by modeling individual differences in cardiac vagal tone changes that occur over the course of the vigilance task.

Indexed as

cardiac vagal toneheart rate variabilityindividual differenceslongitudinal growth curve modelingvigilance decrement

Identifiers

PMID38234476
PMCPMC10790917

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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.