Cited by 69Heart Rate Variability and Autonomic ControlDecision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Is the ability to keep your mind sharp under pressure reflected in your heart? Evidence for the neurophysiological bases of decision reinvestment.

Laborde, Sylvain, Raab, Markus, Kinrade, Noel P.·2014·Biological Psychology

Abstract

The aim of this study was twofold: first, to examine the influence of decision reinvestment on decision-making performance using an option-generation task, and second to investigate its neurophysiological basis with heart rate variability. Forty-two male participants performed an option-generation task (i.e., where participants are required to generate their own options rather than being asked to decide from a set of options) under low- and high-pressure conditions. Results showed that the decision-making performance of low and high decision reinvesters was similar in the low-pressure condition, however in the high-pressure condition low reinvesters decided faster than their high reinvester counterparts. Moreover, we found that the pressure-induced reduction in parasympathetic activity was more pronounced in high reinvesters in comparison to low reinvesters. Findings are interpreted in light of the neurovisceral integration model, assuming a positive relationship between cognitive performance and parasympathetic activity. These findings offer a physiological insight into a psychological phenomenon and may also suggest a way to counteract the detrimental effects of decision reinvestment by utilizing interventions that target the parasympathetic activity, such as heart rate variability biofeedback.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.biopsycho.2014.05.003

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 33

  1. Balk, 2013, Coping under pressure: Employing emotion regulation strategies to enhance performance under pressure, Journal of Sport & Exercise Psychology, 35, 408, 10.1123/jsep.35.4.408 · DOI
  2. Baumeister, 1984, Choking under pressure: Self-consciousness and paradoxical effects of incentives on skillful performance, Journal of Personality and Social Psychology, 46, 610, 10.1037/0022-3514.46.3.610 · DOI · Paper page
  3. Baumeister, 1986, A review of paradoxical performance effects: Choking under pressure in sports and mental tests, European Journal of Social Psychology, 16, 361, 10.1002/ejsp.2420160405 · DOI
  4. Eysenck, 1992, Anxiety and performance: The processing efficiency theory, Cognition & Emotion, 6, 409, 10.1080/02699939208409696 · DOI
  5. Fawcett, 2014, The evolution of decision rules in complex environments, Trends in Cognitive Sciences, 18, 153, 10.1016/j.tics.2013.12.012 · DOI
  6. Hepler, 2012, Take the first heuristic, self-efficacy, and decision-making in sport, Journal of Experimental Psychology: Applied, 18, 154
  7. Jackson, 2006, Attentional focus, dispositional reinvestment, and skilled motor performance under pressure, Journal of Sport & Exercise Psychology, 28, 49, 10.1123/jsep.28.1.49 · DOI
  8. Jackson, 2013, Individual propensity for reinvestment: Field-based evidence for predictive validity of three scales, International Journal of Sport Psychology, 44, 331
  9. Johnson, 2003, Take the first: Option-generation and resulting choices, Organizational Behavior and Human Decision Processes, 91, 215, 10.1016/S0749-5978(03)00027-X · DOI
  10. Kaiseler, 2012, Effects of the big five personality dimensions on appraisal coping, and coping effectiveness in sport, European Journal of Sport Science, 12, 62, 10.1080/17461391.2010.551410 · DOI
  11. Kinrade, 2010, Development and validation of the Decision-Specific Reinvestment Scale, Journal of Sports Sciences, 28, 1127, 10.1080/02640414.2010.499439 · DOI
  12. Klampfl, 2013, How to detect the yips in golf, Human Movement Science, 10.1016/j.humov.2013.04.004 · DOI
  13. Laborde, 2013, The tale of hearts and reason: The influence of mood on decision making, Journal of Sport & Exercise Psychology, 35, 339, 10.1123/jsep.35.4.339 · DOI
  14. Laborde, 2011, Trait emotional intelligence in sports: A protective role against stress through heart rate variability?, Personality and Individual Differences, 51, 23, 10.1016/j.paid.2011.03.003 · DOI · Paper page
  15. Laborde, 2014, Decision-specific reinvestment scale: An exploration of its construct validity, and association with stress and coping appraisals, Psychology of Sport & Exercise, 15, 238, 10.1016/j.psychsport.2014.01.004 · DOI
  16. Laborde, 2013, Introduction, comprehensive approach, and vision for the future. [Special Issue] Emotions and decision making in sports, International Journal of Sport & Exercise Psychology, 11, 143, 10.1080/1612197X.2013.773686 · DOI
  17. Malik, 1996, Heart rate variability, standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, European Heart Journal, 17, 354, 10.1093/oxfordjournals.eurheartj.a014868 · DOI · Paper page
  18. Masters, 1992, Knowledge, knerves and know-how: The role of explicit versus implicit knowledge in the breakdown of a complex motor skill under pressure, British Journal of Psychology, 83, 343, 10.1111/j.2044-8295.1992.tb02446.x · DOI
  19. Masters, 2008, The theory of reinvestment, International Review of Sport and Exercise Psychology, 1, 160, 10.1080/17509840802287218 · DOI · Paper page
  20. Miller, 2001, An integrative theory of prefrontal cortex function, Annual Review of Neuroscience, 24, 167, 10.1146/annurev.neuro.24.1.167 · DOI · Paper page
  21. Nolan, 2005, Heart rate variability biofeedback as a behavioral neurocardiac intervention to enhance vagal heart rate control, American Heart Journal, 149, 1137, 10.1016/j.ahj.2005.03.015 · DOI · Paper page
  22. Nummenmaa, 2004, Inducing affective states with success-failure manipulations: A meta-analysis, Emotion, 4, 207, 10.1037/1528-3542.4.2.207 · DOI
  23. Ottaviani, 2009, The autonomic phenotype of rumination, International Journal of Psychophysiology, 72, 267, 10.1016/j.ijpsycho.2008.12.014 · DOI
  24. Poolton, 2011, The home team advantage gives football referees something to ruminate about, International Journal of Sports Science & Coaching, 6, 545, 10.1260/1747-9541.6.4.545 · DOI
  25. Raab, 2007, Expertise-based differences in search and option-generation strategies, Journal of Experimental Psychology: Applied, 13, 158
  26. Raab, 2011, When to blink and when to think: Preference for intuitive decisions results in faster and better tactical choices, Research Quarterly for Exercise and Sport, 82, 89, 10.1080/02701367.2011.10599725 · DOI
  27. Rolls, 2008, The orbitofrontal cortex and beyond: From affect to decision-making, Progress in Neurobiology, 86, 216, 10.1016/j.pneurobio.2008.09.001 · DOI
  28. Thayer, 2009, Claude Bernard and the heart-brain connection: Further elaboration of a model of neurovisceral integration, Neuroscience and Biobehavioral Reviews, 33, 81, 10.1016/j.neubiorev.2008.08.004 · DOI · Paper page
  29. Thayer, 2012, A meta-analysis of heart rate variability and neuroimaging studies: Implications for heart rate variability as a marker of stress and health, Neuroscience & Biobehavioral Reviews, 36, 747, 10.1016/j.neubiorev.2011.11.009 · DOI · Paper page
  30. Veldhuijzen van Zanten, 2002, Competitiveness and hemodynamic reactions to competition, Psychophysiology, 39, 759, 10.1111/1469-8986.3960759 · DOI
  31. Ward, 2011, Skill-based differences in option generation in a complex task: A verbal protocol analysis, Cognitive Processing, 12, 289, 10.1007/s10339-011-0397-9 · DOI
  32. Watkins, 1998, Anxiety and vagal control of heart rate, Psychosomatic Medicine, 60, 498, 10.1097/00006842-199807000-00018 · DOI
  33. Zhu, 2011, Neural co-activation as a yardstick of implicit motor learning and the propensity for conscious control of movement, Biological Psychology, 87, 66, 10.1016/j.biopsycho.2011.02.004 · DOI

Cited by

Sorted by citations

Metadata

Authors
Laborde, S., Raab, M., & Kinrade, N. P.
Affiliations
  • German Sport University Cologne (DE)
  • Brunel University of London (GB)
Corresponding author
Laborde, Sylvain
Venue
Biological Psychology
Publisher
Elsevier BV
Published
2014-07
Volume
100
Pages
34-42
ISSN
0301-0511 (ISSN-L)
OpenAlex
W2088246070
Cited by
69
References
5
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 10 · 2020: 4 · 2019: 7 · 2018: 10 · 2017: 5 · 2016: 8 · 2015: 4 · 2014: 2
FWCI
4.37
Type
journal article
Language
en
Open access
closed
Locations
  • Biological Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (submittedVersion)
Funders
Deutsche Sporthochschule Köln
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
decision performance, option generation, heart rate variability, parasympathetic activity, neurovisceral integration model, heart rate variability biofeedback, stress and cognition
MeSH terms
Adolescent, Adult, Analysis of Variance, Decision Making, Heart Rate, Humans, Male, Online Systems, Pressure, Psychomotor Performance, Stress, Psychological, Young Adult, Athletes, Visual Analog Scale

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review