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.
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
Cites
Statistics
Verification
Claims the paper makes
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?
When the stressor faced by the individual requires executive functioning, a higher level of vagal withdrawal is seen as maladaptive.
“However, when the stressor faced by the individual requires executive functioning, then a higher level of vagal withdrawal is seen as maladaptive (Thayer et al., 2012), as showed experimentally (e.g., Marcovitch et al., 2010; Laborde et al., 2014, 2015b; Park et al., 2014).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Laborde et al., 2014
Citations
Cites
Heart rate variability: origins, methods, and interpretive caveats
BERNTSON, G. G., THOMAS BIGGER, J., ECKBERG, D. L., GROSSMAN, P., KAUFMANN, P. G., MALIK, M., NAGARAJA, H. N., PORGES, S. W., SAUL, J. P., STONE, P. H., et al. (1997) · Psychophysiology · doi:10.1111/j.1469-8986.1997.tb02140.x · Cited by 3,962
Autonomic nervous system activity in emotion: a review
Kreibig, S. D. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.03.010 · Cited by 3,188 · cited 1×
“In addition to its links with cognition, the activity of the parasympathetic system is also usually used as an emotion marker (Kreibig, 2010), and was found to decrease when individuals face pressure (Watkins, Grossman, Krishnan, & Sherwood, 1998).”
MethodControl and information in the intrapersonal sphere: An extension of cognitive evaluation theory.
Ryan, R. M. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.43.3.450 · Cited by 2,721
Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9101-z · Cited by 1,872
The role of vagal function in the risk for cardiovascular disease and mortality
Thayer, J. F., & Lane, R. D. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2005.11.013 · Cited by 1,033
Flagged first, then by citations
Research works printed but not linked: 33
- 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
- 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
- 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
- Eysenck, 1992, Anxiety and performance: The processing efficiency theory, Cognition & Emotion, 6, 409, 10.1080/02699939208409696 · DOI
- Fawcett, 2014, The evolution of decision rules in complex environments, Trends in Cognitive Sciences, 18, 153, 10.1016/j.tics.2013.12.012 · DOI
- Hepler, 2012, Take the first heuristic, self-efficacy, and decision-making in sport, Journal of Experimental Psychology: Applied, 18, 154
- 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
- Jackson, 2013, Individual propensity for reinvestment: Field-based evidence for predictive validity of three scales, International Journal of Sport Psychology, 44, 331
- 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
- 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
- Kinrade, 2010, Development and validation of the Decision-Specific Reinvestment Scale, Journal of Sports Sciences, 28, 1127, 10.1080/02640414.2010.499439 · DOI
- Klampfl, 2013, How to detect the yips in golf, Human Movement Science, 10.1016/j.humov.2013.04.004 · DOI
- 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
- 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
- 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
- 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
- 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
- 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
- Masters, 2008, The theory of reinvestment, International Review of Sport and Exercise Psychology, 1, 160, 10.1080/17509840802287218 · DOI · Paper page
- 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
- 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
- Nummenmaa, 2004, Inducing affective states with success-failure manipulations: A meta-analysis, Emotion, 4, 207, 10.1037/1528-3542.4.2.207 · DOI
- Ottaviani, 2009, The autonomic phenotype of rumination, International Journal of Psychophysiology, 72, 267, 10.1016/j.ijpsycho.2008.12.014 · DOI
- 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
- Raab, 2007, Expertise-based differences in search and option-generation strategies, Journal of Experimental Psychology: Applied, 13, 158
- 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
- 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
- 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
- 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
- Veldhuijzen van Zanten, 2002, Competitiveness and hemodynamic reactions to competition, Psychophysiology, 39, 759, 10.1111/1469-8986.3960759 · DOI
- 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
- Watkins, 1998, Anxiety and vagal control of heart rate, Psychosomatic Medicine, 60, 498, 10.1097/00006842-199807000-00018 · DOI
- 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
Laborde, S., Mosley, E., & Thayer, J. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00213 · Cited by 2,336
“…color naming task and a stop signal task (Miyake et al., 2000); or if the task needs to remain the same and the conditions change, it is then possible to counterbalancing the conditions in order to reduce confounding effects (e.g., low pressure vs. high pressure, such as in Laborde et al., 2014).”
BackgroundSelf-citationEmotional intelligence in sport and exercise: a systematic review
Laborde, S., Dosseville, F., & Allen, M. S. (2016) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.12510 · Cited by 335
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