Abstract
Metacognitive awareness and resting vagally mediated heart rate variability (HRV) as a physiological trait marker of cognitive inhibitory control capacities are both associated with better well-being and seem to share a common neural basis. Executive functioning which is considered a prerequisite for delivering prospective metacognitive judgments has been found to be correlated with HRV. This pilot study addresses the question, whether metacognitive awareness and resting vagally mediated HRV are positively associated. A sample of 20 healthy participants was analyzed that completed a typical Judgment of Learning task after an electrocardiogram had been recorded. The root-mean-squares of successive differences were used to calculate vagally mediated HRV. Metacognitive awareness was measured by comparing the judgments of learning with the actual memory performance, yielding a deviation score. HRV was found to be positively correlated with metacognitive awareness. Results suggest that metacognitive abilities might relate to physiological trait markers of cognitive inhibitory control capacities. Further experimental studies are needed to investigate causal relations.
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References
Allen M et al (2017) Metacognitive ability correlates with hippocampal and prefrontal microstructure. Neuroimage 149:415–423. https://doi.org/10.1016/j.neuroimage.2017.02.008
Arbel R, Koren D, Klein E, Latzer Y (2013) The neurocognitive basis of insight into illness in anorexia nervosa: a pilot metacognitive study. Psychiatry Res 209:604–610. https://doi.org/10.1016/j.psychres.2013.01.009
Baayen RH, Piepenbrock R, Van Rijn H (eds) (1993) The CELEX lexical data base on CD-ROM. Linguistic Data Consortium, Philadelphia
Baird B, Smallwood J, Gorgolewski KJ, Margulies DS (2013) Medial and lateral networks in anterior prefrontal cortex support metacognitive ability for memory and perception. J Neurosci 33:16657–16665. https://doi.org/10.1523/jneurosci.0786-13.2013
Berntson GG, Stowell JR (1998) ECG artifacts and heart period variability: don’t miss a beat! Psychophysiology 35(1):127–132. https://doi.org/10.1111/1469-8986.3510127
Do Lam AT, Axmacher N, Fell J, Staresina BP, Gauggel S, Wagner T, Olligs J, Weis S (2012) Monitoring the mind: the neurocognitive correlates of metamemory. PLoS ONE 7:e30009. https://doi.org/10.1371/journal.pone.0030009
Fernandez-Duque D, Baird JA, Posner MI (2000) Executive attention and metacognitive regulation. Conscious Cogn 9:288–307
Flavell JH (1979) Metacognition and cognitive monitoring—a new area of cognitive-developmental inquiry. Am Psychol 34:906–911
Forkmann T, Boecker M, Wirtz M, Eberle N, Westhofen M, Schauerte P et al (2009) Development and validation of the Rasch-based depression screening (DESC) using Rasch analysis and structural equation modelling. J Behav Ther Exp Psychiatry 40(3):468–478. https://doi.org/10.1016/j.jbtep.2009.06.003
Gillie BL, Vasey MW, Thayer JF (2013) Heart rate variability predicts control over memory retrieval. Psychol Sci 25:458–465. https://doi.org/10.1177/0956797613508789
Hansen AL, Johnsen BH, Thayer JE (2003) Vagal influence on working memory and attention. I J Psychophysiol 48:263–274
Hovland A, Pallesen S, Hammar A, Hansen AL, Thayer JF, Tarvainen MP, Nordhus IH (2012) The relationships among heart rate variability, executive functions, and clinical variables in patients with panic disorder. I J Psychophysiol 86:269–275. https://doi.org/10.1016/j.ijpsycho.2012.10.004
Hu X, Liu ZM, Li TT, Luo L (2016) Influence of cue word perceptual information on metamemory accuracy in judgement of learning. Memory 24(3):383–398. https://doi.org/10.1080/09658211.2015.1009470
Johnsen BH, Thayer JF, Laberg JC, Wormnes B, Raadal M, Skaret E et al (2003) Attentional and physiological characteristics of patients with dental anxiety. J Anxiety Disord 17(1):75–87. https://doi.org/10.1016/s0887-6185(02)00178-0
Kaufmann T, Sütterlin S, Schulz SM, Vögele C (2011) ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis. Behav Res Methods 43:1161–1170. https://doi.org/10.3758/s13428-011-0107-7
Kemp AH, Quintana DS, Felmingham KL, Matthews S, Jelinek HF (2012) Depression, comorbid anxiety disorders, and heart rate variability in physically healthy, unmedicated patients: implications for cardiovascular risk. PLoS ONE 7(2):e30777. https://doi.org/10.1371/journal.pone.0030777
Komori M (2016) Effects of working memory capacity on metacognitive monitoring: a study of group differences using a listening span test. Front Psychol 7:285. https://doi.org/10.3389/fpsyg.2016.00285
Koriat A, Ma’ayan H (2005) The effects of encoding fluency and retrieval fluency on judgments of learning. J Mem Lang 52:478–492
Koval P, Ogrinz B, Kuppens P, Van den Bergh O, Tuerlinckx F, Sütterlin S (2013) Affective instability in daily life is predicted by resting heart rate variability. PLoS ONE 8:e81536. https://doi.org/10.1371/journal.pone.0081536
Ladegaard N, Larsen ER, Videbech P, Lysaker PH (2014) Higher-order social cognition in first-episode major depression. Psychiatry Res 216:37–43. https://doi.org/10.1016/j.psychres.2013.12.010
Lysaker PH et al (2014) Deficits in metacognitive capacity distinguish patients with schizophrenia from those with prolonged medical adversity. J Psychiatr Res 55:126–132. https://doi.org/10.1016/j.jpsychires.2014.04.011
Malik M, Bigger JT, Camm AJ, Kleiger RE, Malliani A, Moss AJ, Schwartz PJ (1996) Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Heart Rate Var Eur Heart J 17:354–381
Meessen J, Mainz V, Gauggel S, Volz-Sidiropoulou E, Sütterlin S, Forkmann T (2016) The relationship between interoception and metacognition. J Psychophysiol 30:76–86. https://doi.org/10.1027/0269-8803/a000157
Nelson TO, Dunlosky J (1991) When peoples judgments of learning (JOLS) are extremely accurate at predicting subsequent recall—the delayed-JOL effect. Psychol Sci 2:267–270
Pappens M, Schroijen M, Sütterlin S, Smets E, Van den Bergh O, Thayer JF, Van Diest I (2014) Resting heart rate variability predicts safety learning and fear extinction in an interoceptive fear conditioning paradigm. PLoS ONE 9:e105054. https://doi.org/10.1371/journal.pone.0105054
Pyc MA, Rawson KA, Aschenbrenner AJ (2014) Metacognitive monitoring during criterion learning: when and why are judgments accurate? Mem Cogn 42(6):886–897. https://doi.org/10.3758/s13421-014-0403-4
Reyes G, Silva JR, Jaramillo K, Rehbein L, Sackur J (2015) Self-knowledge dim-out: stress impairs metacognitive accuracy. PLoS ONE 10:e0132320. https://doi.org/10.1371/journal.pone.0132320
Rhodes MG, Tauber SK (2011) The influence of delaying judgments of learning on metacognitive accuracy: a meta-analytic review. Psychol Bull 137(1):131–148. https://doi.org/10.1037/a0021705
Schmitz J, Kramer M, Tuschen-Caffier B, Heinrichs N, Blechert J (2011) Restricted autonomic flexibility in children with social phobia. J Child Psychol Psychiatry 52:1203–1211. https://doi.org/10.1111/j.1469-7610.2011.02417.x
Schuster AK, Fischer JE, Thayer JF, Mauss D, Jarczok MN (2016) Decreased heart rate variability correlates to increased cardiovascular risk. Int J Cardiol 203:728–730. https://doi.org/10.1016/j.ijcard.2015.11.027
Smith R, Thayer JF, Khalsa SS, Lane RD (2017) The hierarchical basis of neurovisceral integration. Neurosci Biobehav Rev 75:274–296. https://doi.org/10.1016/j.neubiorev.2017.02.003
Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA (eds) (1983) Manual for the State-Trait Anxiety Inventory. Consulting Psychologist Press, Paolo Alto
Thayer JF, Lane RD (2000) A model of neurovisceral integration in emotion regulation and dysregulation. J Affect Disord 61:201–216
Thayer JF, Lane RD (2007) The role of vagal function in the risk for cardiovascular disease and mortality. Biol Psychol 74:224–242. https://doi.org/10.1016/j.biopsycho.2005.11.013
Thayer JF, Hansen AL, Saus-Rose E, Johnsen BH (2009) Heart rate variability, prefrontal neural function, and cognitive performance: the neurovisceral integration perspective on self-regulation, adaptation, and health. Ann Behav Med 37:141–153. https://doi.org/10.1007/s12160-009-9101-z
Thayer JF, Ahs F, Fredrikson M, Sollers JJ III, Wager TD (2012) A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev 36:747–756. https://doi.org/10.1016/j.neubiorev.2011.11.009
Xiu LC, Zhou RL, Jiang YH (2016) Working memory training improves emotion regulation ability: evidence from HRV. Physiol Behav 155:25–29
Acknowledgements
This research project was supported by the START-program of the Faculty of Medicine, RWTH Aachen (Grant Number 691301) as well as the Interdisciplinary Center for Clinical Research (IZKF) Aachen within the Faculty of Medicine of RWTH Aachen University. All authors have no potential competing interest concerning submission of the manuscript “Learning by heart—the relationship between resting vagal tone and metacognitive judgments: a pilot study” to the journal “Cognitive Processing.”
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Handling editor: Boris Suchan (University of Bochum); Reviewers: the handling editor and an anonymous reviewer.
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Meessen, J., Sütterlin, S., Gauggel, S. et al. Learning by heart—the relationship between resting vagal tone and metacognitive judgments: a pilot study. Cogn Process 19, 557–561 (2018). https://doi.org/10.1007/s10339-018-0865-6
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DOI: https://doi.org/10.1007/s10339-018-0865-6