Coping with mental challenges is vital to everyday functioning. In accordance with prominent theories, the adaptive and flexible adjustment of the organism to daily demands is well expressed in task-related changes of cardiac vagal control. While many mental challenges are associated with increased effort and associated decreased task-related heart rate variability (HRV), some cognitive challenges go along with HRV increases. Especially creativity represents a cognitive process, which not only results from mental effort but also from spontaneous modes of thinking. Critically, creativity and HRV are associated with regular exercising and fitness. Furthermore, the cross-stressor adaptation theory suggests that changes in cardiac reactions to physical challenges may generalize to mental challenges. In line with this idea the amount of regular exercising was hypothesized to moderate the association between HRV changes and creativity. A sample of 97 participants was investigated. They reported the amount of regular exercise and their ECG was measured at baseline and during a creativity task. An association between task-related HRV changes and originality as a function of participants’ amount of regular exercise was found. Participants reporting more regular exercising produced more original ideas when they had higher HRV increases during the task, while more sedentary participants showed the opposite association. Results suggest that individuals with a higher amount of regular exercise achieve higher originality probably via the engagement in more spontaneous modes of thinking, while more sedentary people may primarily benefit from increased mental effort. This supports the conclusion that higher creativity can be achieved by different strategies.
Citation: Rominger C, Papousek I, Fink A, Perchtold CM, Lackner HK, Weiss EM, et al. (2019) Creative challenge: Regular exercising moderates the association between task-related heart rate variability changes and individual differences in originality. PLoS ONE 14(7): e0220205. https://doi.org/10.1371/journal.pone.0220205
Editor: Daniel Boullosa, University of Brasilia, BRAZIL
Received: April 8, 2019; Accepted: July 10, 2019; Published: July 22, 2019
Copyright: © 2019 Rominger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This research was supported by a grant from the Austrian Science Fund (FWF): P 30362, awarded to I.P. (https://pf.fwf.ac.at/de/wissenschaft-konkret/project-finder/?search%5Bwhat%5D=P+30362&search%5Bscience_discipline_id%5D=&search%5Bpromotion_category_id%5D=&extended=1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Diverse mental challenges are a major part of daily life, and the flexible adjustment to these day-to-day demands seems mandatory for successful coping . However, this adaptive ability of self-regulation greatly varies between people and situations. Notably, mental effort, stress, and self-regulation are indexed by functions of the vagus nerve as the primary part of the parasympathetic nervous system [1–5]. A putative physiological marker of vagal control is the beat to beat variation in heart rate, the so-called heart rate variability (HRV) [6,7]. The vagal influence on HRV can be quantified in the time domain by means of RMSSD (root mean square of the successive difference in normal sinus beat intervals) and pNN50 (percentage of adjacent normal sinus beat intervals that differ by more than 50 ms) [8–10].
While the tonic HRV level potentially indicates an inter-individual trait like capacity to adapt to environmental challenges by parasympathetic/vagal control [11–13] (for a meta-analysis see ), task-related HRV changes represent the dynamic task-specific vagal control of the heart (i.e., vagal break) [2,15]. Therefore, task-related HRV is an even more sensitive variable in the context of regulatory efforts of the organism and the actual flexible adaption to physical and mental challenges [2,3,6,7,13,16,17]. Following from this, the adjustment of the organism to task-related challenges—e.g., self-regulatory efforts [4,13]—may be best represented by the flexible change of the HRV from a baseline to a period of mental effort.
However, not every mental challenge requires the same amount of cognitive and regulatory capacity [18,19]. Of note, while many mental tasks are associated with task-related HRV decreases [16,20,21], there is evidence that some cognitive tasks are associated with task-related increases [3,4,15]. For instance, Butler et al.  found HRV increases during the reappraisal of negative events [22,23], and Silvia et al.  reported a slight rise of vagal control during a creative ideation task. This is remarkable, since creative ideation and cognitive reappraisal (the latter as an instance of “creativity in an affective context” ) represent complex self-regulatory cognitive processes (e.g., flexible switch between associative and executive functions), which share important basic cognitive functions [25–28].
A unique characteristic of creative and divergent thinking tasks in contrast to traditional convergent cognitive tasks is the interplay of associative/spontaneous modes of thinking and executive top-down control processes [29–34]. Following dual process theories, creative ideation is not solely based on mental effort, which is associated with HRV decrease [24,35–38], but also on spontaneous, automatic, associative, and relaxed modes of thinking, which are presumably associated with HRV increase [39–42]. Furthermore, the flexible shift between these different modes of thinking is important for creative ideation performance [43–45]. The contribution of both modes of thinking to creative ideation may explain contradictory findings in literature. Loudon and Deininger  reported a negative and Bowers and Keeling  a positive association between indices of creative performance and HRV. Silvia et al.  found no significant link between task-related vagal control and originality.
However, a further reason for inconsistent findings in this context might be that cognitive performance and HRV are associated with the amount of regular physical exercise, physical fitness, and general health of people [6,8,46] (for cognition see [47,48]; but see ; for cognition and HRV see ). Furthermore, in a recent study, Latorre Román et al.  found an association between measures of physical fitness and creativity (see also [52,53]; similar findings for acute physical activity see, [54–56]). The cross-stressor adaptation theory  assumes that salutary cardiovascular reactivity and recovery due to physical training generalize from ergogenic challenges to psychogenic challenges. This generalization may lead to a differentiation of cardiac reactivity to psychological stressors between people doing more and people doing less exercise and people who might therefore be more or less physically fit [46,58–60].
Following this idea, the present study examined whether regular exercising may moderate the association between task-related HRV changes and the performance outcome in a creative ideation task. People regularly exercising more are supposed to be physically best prepared to show adaptive task-related changes of HRV , in order to flexibly match the adaptive states important for optimum performance outcome . More precisely, it was assumed that participants with a higher amount of regular exercise may more flexibly adjust to the creative challenge and more easily switch between mental effort [24,35] and spontaneous and automatic modes of thinking [40–42]. Therefore, it was hypothesized that participants exercising more often will show higher task-related HRV during creative ideation in contrast to participants exercising less, and that in exercisers (but not necessarily in sedentary people) the HRV response will be related to task performance.
An a-priori power analysis was conducted using the software G*Power 3.1 . The analysis indicated that a sample size of 99 participants is required to detect a medium effect (f2 = .15) with a power of .80 and an alpha error of 5%. One hundred and two people were recruited to participated in the study because of potential technical failures and dropout from the study. Due to recording problems of the electrocardiogram two participants were excluded. Two further participants did not comply with the instructions, and another participant was excluded because of excessive artifacts in the recorded ECG. The final sample consisted of 97 participants (54 women) with an age range from 18 to 33 years (M = 23.07 years; SD = 3.48 years). Participants’ age range was restricted to control for potentially confounding influences on HRV .
People with a history of major psychiatric disorders according to the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) and people, who reported having a neurological disease or using psychoactive medication were not included in the study. All participants were right-handed (assessed by a standardized hand skill test; ). They were requested to refrain from alcohol intake for 12 h and from drinking coffee and other stimulating beverages for 2 h prior to their appointment, and to come to the session well rested. The study was approved by the Ethics Committee of the University of Graz, approval number GZ. 39/41/63 ex 2015/16. Written informed consent was obtained from all participants.
Amount of regular physical exercise
The Freiburger Questionnaire on Physical Activity (FQPA)  is a reliable and valid self-report instrument, which covers everyday physical activities (e.g., walking to work), leisure time activities (e.g., dancing), and sports activities (e.g., swimming) [64,65]. Participants are instructed to indicate the duration for each activity in minutes per week which are converted into metabolic equivalents (MET) . In order to derive a measure of physical exercise potentially resulting in higher bodily fitness , only the reported hours of sports activity per week (e.g., running, playing soccer, swimming, M = 3.41 h, SD = 3.68 h) were considered (exercise MET: M = 22.16, SD = 26.12) . Frey et al.  reported a re-test reliability of r = .98 (two weeks) for the amount of exercise per week.
Creative thinking task and task performance
The Alternate Uses (AU) task  is a verbal creativity/divergent thinking test used in numerous scientific studies [24,30,70]. The participants’ task was to generate alternative uses of common objects (e.g., umbrella, brick, or key). For the present investigation, a single answer (i.e., best idea) and self-paced version of the AU task was used. This approach was applied in order to more strongly focus on the originality aspect of creativity . The self-paced procedure appropriately captures the spontaneous nature of the creative thinking process [71–75]; however, it also implicates high demands on self-regulatory mechanisms. Each trial started with a white cross (10 s), followed by a picture of a common object (idea generation phase with a max. response time of 15 s; see Perchtold et al.  for a similar procedure). After the “idea button” was pressed, the participants rated the originality of their idea on a 6-point Likert-scale (max. response time of 4 s) and finally voiced the idea (10 sec). The subjective rating was included to maintain the participants’ effort to produce high quality ideas for every single item of the task. With the presentation of a new fixation cross the next trial started (see Fig 1 for an illustrative summary of the time course of the task). Sixteen objects were presented in randomized order.
Schematic time course of the computerized (A) baseline, (B) AU task, and (C) the analysed 2 minutes time periods (Baseline, AU-ACT1, AU-ACT2, AU-ACT3).
The voiced ideas were transcribed and rated by three independent and trained raters on a four-point Likert scale ranging from “not original” to “very original”. This procedure is a common approach in creativity research (cf. Consensual Assessment Technique; [30,76]). The originality ratings showed acceptable interrater reliability (ICC (2, k) = .66).
All participants were tested individually. The recording took place in a separate and quiet room, where participants were seated in a comfortable chair. During the recordings, they were monitored via a web cam to ensure that they were following the instructions. After filling in the consent form, participants filled in the questionnaire assessing the amount of regular physical exercise. Then, the ECG was applied, and the baseline was recorded for two minutes. Participants were told to relax and keep their eyes closed until they heard a signal tone. After that, participants worked on tasks not relevant for the study question, which lasted a minimum of 10 minutes (see Fig 1). Then, the AU task followed.
Recording and quantification of HRV
The electrocardiogram was recorded using a standard limb lead II electrode configuration with a sampling rate of 500 Hz (Brainvision Research Amplifier, Brain ProductsTM). The ECG signals were manually checked for artifacts by means of the software Kubios HRV Premium version 3.0.2. The mean heart rate of the participants at the baseline level was 68.61 bpm (SD = 11.11 bpm). HRV was quantified in the time domain by means of the root mean square of successive differences of the successive RR intervals. RMSSD has been shown to sensitively index vagal efference  especially during cognitive processes . RMSSD was calculated for the two minutes baseline interval and three consecutive two minutes periods during the creative ideation task, starting from the onset of the first white cross (see Fig 1). Two minutes are considered adequate to evaluate RMSSD reliably [9,15,78]. As depicted in Fig 1, the three two minutes periods of the creative thinking task were calculated for comparability reasons with baseline ([9,15]; similar procedure see, [24,60,79]). The pooled untransformed RMSSD value of the three activation periods was M = 49.43 ms (SD = 24.57 ms) and the baseline was M = 51.63 ms (SD = 27.25 ms). The RMSSD reactivity showed high variability, with both increases and decreases (M = -2.20 ms, SD = 13.24 ms, min = -49.13 ms, max = 28.12 ms).
Furthermore, to control for respiration-induced changes in HRV, ECG derived respiration (EDR) was calculated by means of software Kubios HRV Premium version 3.0.2 for the baseline (M = 0.23 Hz, SD = 0.04 Hz) and the three consecutive two minutes activation periods, which were pooled together (M = 0.23 Hz, SD = 0.03 Hz).
On average, participants completed 11.73 (SD = 1.78) items during the three activation periods of overall 6 minutes (min = 6 items, max = 14 items). The range of response times from item onset to activation of the “idea button” was between 2933 ms and 12 329 ms (M = 6522 ms, SD = 2231 ms).
Firstly, to explore the overall challenging effect of the creative thinking task, a one-way analysis of variance with the within-subjects factor TIME (Baseline, AU-ACT1, AU-ACT2, AU-ACT3) and the HRV (lnRMSSD) as the dependent variable was calculated. Due to violations of sphericity assumptions, the multivariate approach was used . To illustrate the interindividual differences in HRV changes, the untransformed RMSSD values were presented.
The main research question, if regular exercising moderates the association between task-related HRV changes and creative ideation performance outcome, was evaluated using standard multiple regression analysis with the task-related HRV change score, the amount of physical exercise, and the interaction term as predictors, and task performance (originality) as the dependent variable. The task-related HRV change score was calculated by regressing the baseline lnRMSSD values on the pooled lnRMSSD values of the three two minutes activation periods (AU-ACT1, AU-ACT2, AU-ACT3) . This procedure results in one residualized change index with higher scores indicating a relative increase in HRV and lower scores indicating a relative decrease in HRV during the creative ideation task. To illustrate the significant interaction effect of physical exercise and task-related HRV changes on originality, predicted originality was calculated for one standard deviation below sample mean (M—1 SD) and one standard deviation above sample mean (M + 1 SD) using standard regression analysis (similar procedure see e.g., [85,86]). To control for respiratory-induced changes in HRV, this standard multiple regression analysis was re-run with the mean EDR frequency of the three activation periods as an additional predictor.
All analyses were calculated by means of IBM SPSS Statistics 25 for windows and the significance level was set to 5%.
Overall effect of the creative thinking task on HRV
The analysis slightly failed to reach a significant main effect for TIME (F(3,94) = 2.45, p = .069, ηp2 = .03). As indicated in Fig 2, the strongest decrease of HRV was from baseline to the first interval of the creative ideation task.
Association between task-related HRV (lnRMSSD) change and task performance (originality), and its moderation by the amount of regular exercise
The regression analysis was significant (F(3,93) = 4.50, p = .005, R2 = .127). As depicted in Table 1, the interaction effect of task-related HRV change by amount of physical exercise was significant (β = .34, p = .001), however the main effects of the amount of exercise and HRV change were non-significant. Please note that the results of the multiple regression analysis remained virtually the same when using pNN50 instead of RMSSD (F(3,93) = 2.98, p = .035, R2 = .09).
To further qualify the interaction effect in the whole sample, the regression analysis was re-run with the amount of regular exercise set as low (M—1 SD) and high (M + 1 SD; simple slopes approach), respectively. As illustrated in Fig 3, participants exercising more often performed better in the creative thinking task in terms of originality when they showed greater relative HRV increases during the challenge (β = .40, t(93) = -2.73, p = .008). In participants exercising less this association was reversed (β = -.28, t(93) = -2.13, p = .036).
The regression analysis with the additional predictor EDR frequency was again significant (F(4,92) = 4.20, p = .004, R2 = .155). The interaction effect of task-related HRV change by amount of physical exercise remained significant (β = .32, p = .001) and the EDR frequency was not significant (β = .13, p = .214).
The correlation between the originality score and the number of generated ideas during the six minutes activation period was r = .05 (p = .596), indicating that the effects of the regression analysis was also not influenced by the number of generated ideas.
The aim of this study was to examine the interplay of regular physical exercise and HRV reactivity during a challenging creative ideation task on task performance. Generally, HRV tended to decrease during the task, particularly at the beginning, which indicates the mobilization of mental effort and is characteristic of challenging performance tasks [87,88]. However, participants greatly varied in their cardiac response to the challenge. While some showed marked decreases of HRV, others exhibited smaller decreases or even increases of HRV during the task . This variability in the cardiac responses was meaningfully related to task performance in terms of the originality of generated creative ideas. However, only when inter-individual differences in regular exercising were considered.
In people with a higher amount of regular exercise, greater HRV increase (i.e., vagal activation) during the creative ideation task was correlated with greater originality of the produced ideas, which is in accordance with some relevant research [40,41]. By contrast, in more sedentary people this association was reversed. Greater task-related HRV decrease (i.e., greater vagal withdrawal) was associated with better task performance in terms of originality, which is in line with other studies in the literature . Importantly, regular exercising as such was not correlated with task performance, that is, on average, people exercising both more or less achieved similar levels of originality [52,89]. This null finding might take place because of study-design divergences. Contrary to former studies [51,53], we used a self-report measure of regular physical exercise . Furthermore, while Gondola and Tuckman  reported increases in the fluency parameter of the AU task and Latorre Román et al.  found a positive effect for a composite score of multiple creative thinking tasks, we operationalized creativity by means of originality of ideas.
Nevertheless, the observed interaction effect suggests that greater originality in a creativity task is not only achieved by the investment of more mental effort [24,35], and more spontaneous and associative modes of thinking , but that both can lead to success, depending, among others, on the physical constitution of the person. This finding may in part explain the heterogeneity of previous results on associations between cardiac vagal control and creative performance [24,35,40].
Furthermore, the observed moderation effect at least in part supports assumptions of the cross-stressor adaptation theory , according to which changing cardiac response patterns to physical stressors by physical exercising may translate to altered modes of responding of regulation functions when confronted with psychological stressors [46,59,60]. People who generate more original ideas showed smaller vagal withdrawal (or even increases in heart rate variability) during task performance, when they were regularly exercising as compared to being more sedentary. This is in line with Park et al. , who reported task-related increases of HRV during a cognitive task in participants with higher flexible regulation functions (i.e., higher tonic vagal control) and decreases in participants with lower regulation functions (for short review see ).
The present findings need to be discussed in light of some limitations. First, the amount of regular physical exercise was only assessed by self-report and not by a behavioral index. Although the current findings need to be replicated with objective measures, similar self-reports of exercise have proven suitable to reveal reliable and meaningful associations with challenge-related cardiac responses . Second, it might be proposed that HRV is influenced by verbal responses during the creative ideation task . However, even if the vocalization of ideas has an impact on HRV, this cannot explain the reported associations between HRV and originality (for people exercising more or less, respectively), since the number of generated ideas (within the 6 minutes activation period) was virtually independent of task performance (originality). This is further in line with the result, that the respiration frequency (EDR) had no significant impact on the findings of this study. Third, although the eye closed baseline condition is the most frequently used approach in psychophysiological research , an additional baseline using an eyes open condition might have been valuable to evaluate the specificity of reported task-related HRV changes. Fourth, due to the cross-sectional, correlational nature of the present study, no cause-effect relationship can be deduced from the results.
Despite of these limitations, the findings of this research suggests that participants exercising more often in their daily life achieve higher originality with more flexible, associative, and spontaneous modes of thinking, while participants exhibiting a more sedentary lifestyle more strongly invest mental effort to reach the same quality level of produced ideas. Since solving open and ill-defined problems constitutes a daily mental challenge for many people such mechanisms might impose health risks and lower well-being in people with a sedentary lifestyle in the long run. Conversely, grounding on the cross-stressor adaptation theory the findings of the present research supports the beneficial effect of regular exercising on mental challenges in daily life [46,57].
The current study provides evidence that creative performance depends on individual differences in task-related changes in vagal activity, when taking regular exercising into account. This supports the conclusions that firstly, regular physical exercising has an impact on creativity [51,53] and secondly, higher creativity can be achieved by different strategies such as spontaneous modes of thinking and mental effort [24,32].
- 1. Thayer JF, Ahs F, Fredrikson M, Sollers JJ, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies. Implications for heart rate variability as a marker of stress and health. Neuroscience and Biobehavioral Reviews. 2012; 36(2): 747–756. pmid:22178086
- 2. Porges SW. The polyvagal perspective. Biological Psychology. 2007; 74(2): 116–143. pmid:17049418
- 3. Ingjaldsson JT, Laberg JC, Thayer JF. Reduced heart rate variability in chronic alcohol abuse. Relationship with negative mood, chronic thought suppression, and compulsive drinking. Biological Psychiatry. 2003; 54(12): 1427–1436. pmid:14675808
- 4. Segerstrom SC, Nes LS. Heart rate variability reflects self-regulatory strength, effort, and fatigue. Psychological Science. 2007; 18(3): 275–281. pmid:17444926
- 5. Thayer JF, Friedman BH. Stop that! Inhibition, sensitization, and their neurovisceral concomitants. Scand. J. Psychol. 2002; 43(2): 123–130. pmid:12004949
- 6. Duarte A, Soares PP, Pescatello L, Farinatti P. Aerobic training improves vagal reactivation regardless of resting vagal control. Medicine & Science in Sports & Exercise. 2015; 47(6): 1159–1167. pmid:25259540
- 7. Thayer JF, Lane RD. Claude Bernard and the heart-brain connection. Further elaboration of a model of neurovisceral integration. Neuroscience and Biobehavioral Reviews. 2009; 33(2): 81–88. pmid:18771686
- 8. Buch AN, Coote JH, Townend JN. Mortality, cardiac vagal control and physical training—what’s the link. Experimental Physiology. 2002; 87(4): 423–435. pmid:12392106
- 9. Task Force Guidelines. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Circulation. 1996; 93(5): 1043–1065. pmid:8598068
- 10. Shaffer F, Ginsberg JP. An overview of heart rate variability metrics and norms. Frontiers in Public Health. 2017; 5: 258. pmid:29034226
- 11. Hansen AL, Johnsen BH, Thayer JF. Vagal influence on working memory and attention. International Journal of Psychophysiology. 2003; 48(3): 263–274. pmid:12798986
- 12. Johnsen BH, Thayer JF, Laberg JC, Wormnes B, Raadal M et al. Attentional and physiological characteristics of patients with dental anxiety. Journal of Anxiety Disorders. 2003; 17(1): 75–87. pmid:12464290
- 13. Butler EA, Wilhelm FH, Gross JJ. Respiratory sinus arrhythmia, emotion, and emotion regulation during social interaction. Psychophysiology. 2006; 43(6): 612–622. pmid:17076818
- 14. Zahn D, Adams J, Krohn J, Wenzel M, Mann CG et al. Heart rate variability and self-control-A meta-analysis. Biological Psychology. 2016; 115: 9–26. pmid:26747415
- 15. Laborde S, Mosley E, Thayer JF. Heart rate variability and cardiac vagal tone in psychophysiological research—recommendations for experiment planning, data analysis, and data reporting. Frontiers in Psychology. 2017; 8: 213. pmid:28265249
- 16. Balzarotti S, Biassoni F, Colombo B, Ciceri MR. Cardiac vagal control as a marker of emotion regulation in healthy adults. A review. Biological Psychology. 2017; 130: 54–66. pmid:29079304
- 17. Graziano P, Derefinko K. Cardiac vagal control and children’s adaptive functioning. A meta-analysis. Biological Psychology. 2013; 94(1): 22–37. pmid:23648264
- 18. Chrysikou EG, Weber MJ, Thompson-Schill SL. A matched filter hypothesis for cognitive control. Neuropsychologia. 2014; 62: 341–355. pmid:24200920
- 19. Pinho AL, Ullen F, Castelo-Branco M, Fransson P, de Manzano O. Addressing a paradox: Dual strategies for creative performance in introspective and extrospective networks. Cerebral Cortex. 2016; 26(7): 3052–3063. pmid:26088973
- 20. Boutcher SH, Nugent FW, McLaren PF, Weltman AL. Heart period variability of trained and untrained men at rest and during mental challenge. Psychophysiology. 1998; 35(1): 16–22. pmid:9499702
- 21. Overbeek TJM, van Boxtel A, Westerink JHDM. Respiratory sinus arrhythmia responses to cognitive tasks. Effects of task factors and RSA indices. Biological Psychology. 2014; 99: 1–14. pmid:24561100
- 22. Denson TF, Grisham JR, Moulds ML. Cognitive reappraisal increases heart rate variability in response to an anger provocation. Motiv Emot. 2011; 35(1): 14–22.
- 23. Christou-Champi S, Farrow TFD, Webb TL. Automatic control of negative emotions: Evidence that structured practice increases the efficiency of emotion regulation. Cognition & Emotion. 2015; 29(2): 319–331. pmid:24678930
- 24. Silvia PJ, Beaty RE, Nusbaum EC, Eddington KM, Kwapil TR. Creative motivation. Creative achievement predicts cardiac autonomic markers of effort during divergent thinking. Biological Psychology. 2014; 102: 30–37. pmid:25063471
- 25. Fink A, Weiss EM, Schwarzl U, Weber H, Assunção VL de et al. Creative ways to well-being: Reappraisal inventiveness in the context of anger-evoking situations. Cognitive, Affective & Behavioral Neuroscience. 2017; 17(1): 94–105. pmid:27683302
- 26. Perchtold CM, Papousek I, Koschutnig K, Rominger C, Weber H et al. Affective creativity meets classic creativity in the scanner. Hum Brain Mapp. 2018; 39: 393–406. pmid:29058352
- 27. Fink A, Perchtold C, Rominger C. 2018. Creativity and cognitive control in the cognitive and affective domains. In: Jung RE, Vartanian O, editors. The Cambridge handbook of the neuroscience of creativity. Cambridge: Cambridge University Press. pp. 318–332.
- 28. Rominger C, Papousek I, Weiss EM, Schulter G, Perchtold CM et al. Creative thinking in an emotional context: Specific relevance of executive control of emotion-laden representations in the inventiveness in generating alternative appraisals of negative events. Creativity Res. J. 2018; 30(3): 256–265.
- 29. Beaty RE, Benedek M, Silvia PJ, Schacter DL. Creative cognition and brain network dynamics. Trends in Cognitive Sciences. 2016; 20(2): 87–95. pmid:26553223
- 30. Rominger C, Fink A, Weiss EM, Bosch J, Papousek I. Allusive thinking (remote associations) and auditory top-down inhibition skills differentially predict creativity and positive schizotypy. Cognitive Neuropsychiatry. 2017; 22(2): 108–121. pmid:28081654
- 31. Sowden PT, Pringle A, Gabora L. The shifting sands of creative thinking. Connections to dual-process theory. Thinking and Reasoning. 2015; 21(1): 40–60.
- 32. Benedek M, Jauk E. 2018. Spontaneous and controlled processes in creative cognition. In: Fox KCR, Christoff K, editors. The Oxford handbook of spontaneous thought. Mind-wandering, creativity, and dreaming. New York, NY: Oxford University Press.
- 33. Mok LW. The interplay between spontaneous and controlled processing in creative cognition. Frontiers in Human Neuroscience. 2014; 8: 663. pmid:25221497
- 34. Allen AP, Thomas KE. A dual process account of creative thinking. Creativity Research Journal. 2011; 23(2): 109–118.
- 35. Loudon GH, Deininger GM. The physiological response during divergent thinking. JBBS. 2016; 06(01): 28–37.
- 36. Jauk EV, Benedek M, Neubauer AC. The road to creative achievement: A latent variable model of ability and personality predictors. European Journal of Personality. 2014; 28(1): 95–105. pmid:24532953
- 37. Nusbaum EC, Silvia PJ. Are intelligence and creativity really so different? Fluid intelligence, executive processes, and strategy use in divergent thinking. Intelligence. 2011; 39(1): 36–45.
- 38. Runco MA, Chand I. Cognition and creativity. Educ Psychol Rev. 1995; 7(3): 243–267.
- 39. Martindale C. 1999. Biological basis of creativity. In: Sternberg RJ, editor. Handbook of creativity. Cambridge: Cambridge University Press. pp. 137–152.
- 40. Bowers KS, Keeling KR. Heart-rate variability in creative functioning. Psychological Reports. 1971; 29(1): 160–162. pmid:4937323
- 41. Blatt SJ. Patterns of cardiac arousal during complex mental activity. The Journal of Abnormal and Social Psychology. 1961; 63(2): 272–282.
- 42. Mednick SA. The associative basis of the creative process. Psychological Review. 1962; 69(3): 220–232.
- 43. Ellamil M, Dobson C, Beeman M, Christoff K. Evaluative and generative modes of thought during the creative process. NeuroImage. 2012; 59(2): 1783–1794. pmid:21854855
- 44. Rominger C, Papousek I, Perchtold CM, Weber B, Weiss EM et al. The creative brain in the figural domain. Distinct patterns of EEG alpha power during idea generation and idea elaboration. Neuropsychologia. 2018; 118(Part A): 13–19. pmid:29452125
- 45. Finke RA, Ward TB, Smith SM. 1996. Creative cognition. Theory, research, and applications. Cambridge, Mass.: MIT Press. 239 p.
- 46. Forcier K, Stroud LR, Papandonatos GD, Hitsman B, Reiches M et al. Links between physical fitness and cardiovascular reactivity and recovery to psychological stressors. A meta-analysis. Health Psychology. 2006; 25(6): 723–739. pmid:17100501
- 47. Colcombe S, Kramer AF. Fitness effects on the cognitive function of older adults. A meta-analytic study. Psychol Sci. 2003; 14(2): 125–130. pmid:12661673
- 48. Etnier JL, Salazar W, Landers DM, Petruzzello SJ, Han M et al. The influence of physical fitness and exercise upon cognitive functioning. A meta-analysis. Journal of Sport and Exercise Psychology. 1997; 19(3): 249–277.
- 49. Young J, Angevaren M, Rusted J, Tabet N. Aerobic exercise to improve cognitive function in older people without known cognitive impairment. The Cochrane Database of Systematic Reviews. 2015; (4): CD005381. pmid:25900537
- 50. Albinet CT, Abou-Dest A, André N, Audiffren M. Executive functions improvement following a 5-month aquaerobics program in older adults. Role of cardiac vagal control in inhibition performance. Biological Psychology. 2016; 115: 69–77. pmid:26812613
- 51. Latorre Román PÁ, Pinillos FG, Pantoja Vallejo A, Berrios Aguayo B. Creativity and physical fitness in primary school-aged children. Pediatrics International. 2017; 59(11): 1194–1199. pmid:28802081
- 52. Cavallera GM, Boari G, Labbrozzi D, Bello ED. Morningness-eveningness personality and creative thinking among young people who play recreational sport. Soc Behav Personal. 2011; 39(4): 503–518.
- 53. Gondola JC, Tuckman BW. Effects of a systematic program of exercise on selected measures of creativity. Perceptual and Motor Skills. 1985; 60(1): 53–54. pmid:3982945
- 54. Latorre Román PÁ, Pantoja Vallejo A, Berrios Aguayo B. Acute Aerobic Exercise Enhances Students’ Creativity. Creativity Research Journal. 2018; 30(3): 310–315.
- 55. Steinberg H, Sykes EA, Moss T, Lowery S, LeBoutillier N et al. Exercise enhances creativity independently of mood. British Journal of Sports Medicine. 1997; 31(3): 240–245. pmid:9298561
- 56. Blanchette DM, Ramocki SP, O’del JN, Casey MS. Aerobic exercise and creative potential. Immediate and residual effects. Creativity Research Journal. 2005; 17(2–3): 257–264.
- 57. Sothmann MS, Buckworth J, Claytor RP, Cox RHON, White-Welkley JE et al. Exercise training and the cross-stressor adaptation hypothesis. Exercise and Sport Sciences Reviews. 1996; 24(1).
- 58. Spalding TW, Lyon LA, Steel DH, Hatfield BD. Aerobic exercise training and cardiovascular reactivity to psychological stress in sedentary young normotensive men and women. Psychophysiology. 2004; 41(4): 552–562. pmid:15189478
- 59. Lackner HK, Weiss EM, Hofer E, Rössler A, Fink A et al. Transient cardiac responses to witnessing horrible events in young adult female exercisers and non-exercisers. Psychology of Sport and Exercise. 2016; 22: 312–320.
- 60. Luque-Casado A, Zabala M, Morales E, Mateo-March M, Sanabria D. Cognitive performance and heart rate variability: The influence of fitness level. PLoS ONE. 2013; 8(2): e56935. pmid:23437276
- 61. Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res. 2009; 41(4): 1149–1160. pmid:19897823
- 62. Steingrüber H-J. 2010. Hand-Dominanz-Test. H-D-T. Göttingen: Hogrefe.
- 63. Frey I, Berg A, Grathwohl D, Keul J. Freiburger Fragebogen zur körperlichen Aktivität-Entwicklung, Prüfung und Anwendung. Soz Präventivmed. 1999; 44(2): 55–64. pmid:10407953
- 64. Rogge A-K, Röder B, Zech A, Nagel V, Hollander K et al. Balance training improves memory and spatial cognition in healthy adults. Scientific Reports. 2017; 7(1): 5661. pmid:28720898
- 65. Kleemeyer MM, Kühn S, Prindle J, Bodammer NC, Brechtel L et al. Changes in fitness are associated with changes in hippocampal microstructure and hippocampal volume among older adults. NeuroImage. 2016; 131: 155–161. pmid:26584869
- 66. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM et al. Compendium of physical activities. An update of activity codes and MET intensities. Medicine & Science in Sports & Exercise. 2000; 32(9 SUPPL): S498–S504.
- 67. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Reports. 1985; 100(2): 126–131. pmid:3920711
- 68. Chang Y-K, Chi L, Etnier JL, Wang C-C, Chu C-H et al. Effect of acute aerobic exercise on cognitive performance. Role of cardiovascular fitness. Psychology of Sport and Exercise. 2014; 15(5): 464–470.
- 69. Guilford JP. 1967. The nature of human intelligence. New York: McGraw-Hill. [XII], 537 p.
- 70. Fink A, Benedek M, Grabner RH, Staudt B, Neubauer AC. Creativity meets neuroscience: Experimental tasks for the neuroscientific study of creative thinking. Methods. 2007; 42(1): 68–76. pmid:17434417
- 71. Benedek M, Jauk E, Fink A, Koschutnig K, Reishofer G et al. To create or to recall? Neural mechanisms underlying the generation of creative new ideas. Neuroimage. 2014; 88: 125–133. pmid:24269573
- 72. Finke RA. 1996. Imagery, creativity, and emergent structure. 13 p.
- 73. Benedek M, Schües T, Beaty RE, Jauk E, Koschutnig K et al. To create or to recall original ideas. Brain processes associated with the imagination of novel object uses. Cortex. 2018; 99: 93–102. pmid:29197665
- 74. Jauk EV, Benedek M, Neubauer AC. Tackling creativity at its roots: Evidence for different patterns of EEG alpha activity related to convergent and divergent modes of task processing. International Journal of Psychophysiology. 2012; 84(2): 219–225. pmid:22390860
- 75. Fink A, Rominger C, Benedek M, Perchtold CM, Papousek I et al. EEG alpha activity during imagining creative moves in soccer decision-making situations. Neuropsychologia. 2018; (114): 118–124. pmid:29702162
- 76. Amabile TM. Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology. 1982; 43(5): 997–1013.
- 77. Shaffer F, McCraty R, Zerr CL. A healthy heart is not a metronome: An integrative review of the heart’s anatomy and heart rate variability. Frontiers in Psychology. 2014; 5: 1040. pmid:25324790
- 78. Munoz ML, van Roon A, Riese H, Thio C, Oostenbroek E et al. Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements. PLoS ONE. 2015; 10(9): e0138921. pmid:26414314
- 79. Luque-Casado A, Perales JC, Cárdenas D, Sanabria D. Heart rate variability and cognitive processing: The autonomic response to task demands. Biological Psychology. 2016; 113: 83–90. pmid:26638762
- 80. Gerteis AKS, Schwerdtfeger AR. When rumination counts. Perceived social support and heart rate variability in daily life. Psychophysiology. 2016; 53(7): 1034–1043. pmid:27137911
- 81. Schwerdtfeger AR, Gerteis AKS. The manifold effects of positive affect on heart rate variability in everyday life. Distinguishing within-person and between-person associations. Health Psychology. 2014; 33(9): 1065–1073. pmid:24707841
- 82. Schwerdtfeger AR, Dick K. Episodes of momentary resilience in daily life are associated with HRV reductions to stressful operations in firefighters: an ambulatory assessment approach using bayesian multilevel modeling. 2018; 47(4): 1–10.
- 83. Vasey MW, Thayer JF. The continuing problem of false positives in repeated measures ANOVA in psychophysiology: A multivariate solution. Psychophysiology. 1987; 24(4): 479–486. pmid:3615759
- 84. Llabre MM, Spitzer SB, Saab PG, Ironson GH, Schneiderman N. The reliability and specificity of delta versus residualized change as measures of cardiovascular reactivity to behavioral challenges. Psychophysiology. 1991; 28(6): 701–711. pmid:1816598
- 85. Rominger C, Papousek I, Perchtold CM, Benedek M, Weiss EM et al. Creativity is associated with a characteristic U-shaped function of alpha power changes accompanied by an early increase in functional coupling. Cognitive, Affective, & Behavioral Neuroscience. in press. pmid:30756348
- 86. Schwerdtfeger AR, Friedrich-Mai P. Social interaction moderates the relationship between depressive mood and heart rate variability. Evidence from an ambulatory monitoring study. Health Psychology. 2009; 28(4): 501–509. pmid:19594275
- 87. Wood R, Maraj B, Lee MC, Reyes R. Short-term heart rate variability during a cognitive challenge in young and older adults. Age and Ageing. 2002; 31(2): 131–135. pmid:11937476
- 88. Fairclough SH, Mulder LJM. 2012. Psychophysiological processes of mental effort investment. In: Wright RA, Gendolla GHE, editors. How motivation affects cardiovascular response. Mechanisms and applications. Washington, D.C: American Psychological Association. pp. 61–76.
- 89. Etnier JL, Nowell PM, Landers DM, Sibley BA. A meta-regression to examine the relationship between aerobic fitness and cognitive performance. Brain Research Reviews. 2006; 52(1): 119–130. pmid:16490256
- 90. Park G, Vasey MW, van Bavel JJ, Thayer JF. When tonic cardiac vagal tone predicts changes in phasic vagal tone: the role of fear and perceptual load. Psychophysiology. 2014; 51(5): 419–426. pmid:24571084
- 91. Grossman P, Taylor EW. Toward understanding respiratory sinus arrhythmia. Relations to cardiac vagal tone, evolution and biobehavioral functions. Biological Psychology. 2007; 74(2): 263–285. pmid:17081672