the impact of cardiac perception on emotion experience and cognitive performance under mental stress
TRANSCRIPT
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The impact of cardiac perception on emotion experienceand cognitive performance under mental stress
Nicole K. Kindermann • Natalie S. Werner
Received: May 29, 2013 / Accepted: March 21, 2014
� Springer Science+Business Media New York 2014
Abstract Mental stress evokes several physiological
responses such as the acceleration of heart rate, increase of
electrodermal activity and the release of adrenaline.
Moreover, physiological stress responses interact with
emotional and behavioral stress responses. In the present
study we provide evidence that viscero-sensory feedback
from the heart (cardiac perception) is an important factor
modulating emotional and cognitive stress responses. In
our study, we compared participants with high versus low
cardiac perception using a computerized mental stress task,
in which they had to respond to rapidly presented visual
and acoustic stimuli. Additionally, we assessed physio-
logical responses (heart rate, skin conductance). Partici-
pants high in cardiac perception reported more negative
emotions and showed worse task performance under the
stressor than participants low in cardiac perception. These
results were not moderated by physiological responses. We
conclude that cardiac perception modulates stress respon-
ses by intensifying negative emotions and by impairing
cognitive performance.
Keywords Cardiac perception � Interoception �Mental stress � Emotion � Cognitive performance
Introduction
‘‘Faster, higher, further’’ is the slogan of the modern
achievement-oriented society. There are however heavy
costs that come with the benefits of such a mentality for
both the individual as well as for society as a whole. The
European Agency for Safety and Health at Work reports
that up to 40 million Europeans complain about stress at
work, which leads to costs of 20 billion Euros in both lost
time and health care (EU-OSHA, 2003). Among the costs
for the individual, stress is associated with an increased risk
for physiological and psychological disorders (Jones &
Bright, 2007). In particular the cardiovascular system has
become a crucial concern in this context. Chronic life
stressors can lead to more cardiovascular reactivity, which
over time may lead to the development of arteriosclerosis
(Low et al., 2009). In the current study we were interested
in the perception of cardiovascular responses as an influ-
encing factor on cognitive and emotional responses under
mental stress.
The ability to perceive cardiovascular responses is
referred to as cardiac perception. A variety of methods for
the quantification of cardiac perception have been devel-
oped. The two principal types are tracking and discrimi-
nation paradigms. In tracking paradigms, participants have
to press a button or tap a finger in time with the rhythm of
their heart rate (McFarland, 1975) or they are asked to
count their heartbeats (Carroll & Whellock, 1980; Dale &
Anderson, 1978; Schandry, 1981). In discrimination para-
digms, participants have to judge whether a series of
externally presented stimuli (e.g. tones) matches their heart
rate (Brener, 1974; Brener & Kluvitse, 1988; Katkin et al.,
1982; Whitehead et al., 1977). The ability to perceive
cardiac signals varies among individuals. Factors such as
gender, percentage of body fat and physical fitness are
suggested as influences upon cardiac perception (Cameron,
2001; Jones, 1994; Katkin, 1985; Schandry & Bestler,
1995; Vaitl, 1996). Accordingly, on average men perform
better in a cardiac perception test (Harver et al., 1994;
Katkin et al., 1981), which may be primarily due to their
N. K. Kindermann (&) � N. S. Werner
Department Psychologie, Ludwig-Maximilians-Universitaet,
Leopoldstr. 13, 80802 Munich, Germany
e-mail: [email protected]
123
J Behav Med
DOI 10.1007/s10865-014-9564-7
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lower percentage of body fat (Rouse et al., 1988). Fur-
thermore, physically fit individuals achieve higher scores in
cardiac perception tests than unfit individuals (Jones &
Hollandsworth, 1981; Montgomery et al., 1984). It is
supposed that physical fitness results in an enlargement of
the left cardiac ventricle, which in turn leads to an
increased stroke volume. An increased stroke volume can
result in a stronger cardiac signal and thus a better per-
ception of heartbeats (see Schandry et al., 1993). Some
authors also consider increased autonomic reactivity to be
related to cardiac perception (Herbert et al., 2010; Pollatos
et al., 2007b, c). However, the evidence is inconsistent
(Eichler & Katkin, 1994; Hantas et al., 1982; Werner et al.,
2009a, b). Critchley et al. (2004) and Pollatos et al. (2007a)
identified neural structures associated with cardiac per-
ception: the insula, the somatomotor and anterior cingulate
cortex. In particular, better performance in a heartbeat
perception task was positively associated with enhanced
activity in the right insular cortex (Critchley et al., 2004).
To date research on cardiac perception has mainly
focused on emotional experience. Psychophysiological
theories of emotions have suggested that somatic processes
impact upon emotional experience (Bechara & Naqvi,
2004; Cacioppo et al., 1992; Damasio, 1994; James, 1884;
Thayer & Lane, 2000). William James (1884) was one of
the first who postulated that feedback from the body is
closely related to emotional experience. Damasio (1994)
extended this approach in his somatic marker hypothesis.
According to this theory, situational somatic processes,
called ‘somatic markers’, occur depending on the conse-
quences of an event, and evoke certain emotional pro-
cesses. In similar situations these somatic markers are
reactivated and guide emotional and behavioral responses.
In accordance with these theories, it has been repeatedly
shown that high cardiac perception is related to more
intense emotional experience (e.g. Barrett et al., 2004;
Hantas et al., 1982; Pollatos et al., 2005, 2007c, Schandry,
1981, 1983; Wiens et al., 2000).
Although stress can provoke strong emotional and phys-
iological responses, to date there are only a few studies
considering the relationship between cardiac perception and
stress. Eichler and Katkin (1994) demonstrated that partici-
pants high in cardiac perception compared to participants
low in cardiac perception showed greater left ventricular
contractility as well as greater shortening of pre-ejection
period during a mental arithmetic task. In a study of Herbert
et al. (2010), participants high in cardiac perception also
showed a greater shortening of pre-ejection period, a greater
left ventricular contractility as well as a greater increase in
mean heart rate when performing a mental arithmetic test.
The authors concluded that high cardiac perception is asso-
ciated with greater sympathetic reactivity in response to a
mental stressor. Two recent studies investigated the emo-
tional impact of cardiac perception in socially stressful sit-
uations. When confronted with a public speaking situation
participants high in cardiac perception reported significantly
less anxiety as compared to participants low in cardiac per-
ception (Werner et al., 2009a). Likewise when confronted
with a social exclusion situation, participants high in cardiac
perception showed a smaller increase in negative affect as
well as a smaller decrease of positive affect (Werner et al.,
2013). On the first view, these two studies seem to contradict
previous studies on emotion experience as participants high
in cardiac perception reported less intensive negative emo-
tions in the socially stressful situations. We assume however,
that everyday situations such as social exclusion or public
speaking are probably familiar to the participants and that
these situations reactivated somatic markers. Accordingly,
individuals high in cardiac perception, who have a better
access to somatic markers, were familiar with the physio-
logical arousal evoked and thus were able to deal with the
socially stressful situations more effectively. However, in
new and unfamiliar situations as in laboratory situations
somatic markers are not available and first have to be
established. Therefore, individuals with better access to
somatic processes may experience more arousal which in
turn may intensify emotions as proposed by physiological
emotion theories (Damasio, 1994; James, 1884).
According to the Competition of Cues Theory of
Pennebaker (1982) the elaboration of internal stimuli, such
as cardiovascular stimuli, may interfere with the simulta-
neous elaboration of external stimuli. Thus, Pennebaker
postulated that cognitive capacity is limited and that the
elaboration of internal stimuli shares the same cognitive
resources as the elaboration of external stimuli. For this
reason, internal and external stimuli compete for the same
limited cognitive resources and interference may occur if
attention is bonded by external or internal stimuli. As
individuals high in cardiac perception have better access to
their cardiovascular signals as compared to individuals low
in cardiac perception, these processes might interfere with
the elaboration of external stimuli.
In order to clarify the relation between cardiac percep-
tion and stress responses, we investigated whether and how
the perception of cardiac signals affects emotional expe-
rience and cognitive functioning under mental stress in the
current study. According to the data based on cardiac
perception and emotion experience we hypothesized that
individuals high in cardiac perception report more negative
emotions under mental stress compared to individuals low
in cardiac perception. With regard to cognitive perfor-
mance previous studies have shown enhanced decision
making, emotional memory and attention processes in
individuals with high cardiac perception (Matthias et al.,
2009; Pollatos & Schandry, 2008; Werner et al., 2009c,
2010). As however stress evokes strong somatic and
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emotional responses, which may interfere with cognitive
responses according to Pennebaker’s (1982) attention the-
ory, individuals more sensitive to somatic processes are
probably more distracted by the internal signals. Thus, we
hypothesized that individuals high in cardiac perception
show worse cognitive performance under stress compared
to individuals low in cardiac perception.
Methods
Participants
Fifty participants took part in the study (26 men, 24
women). The mean age was 23.92 years (SD = 3.01). All
participants had a university-entrance diploma. Forty-six
were university students and 4 were in the workforce. The
sample consisted of 25 participants with high cardiac per-
ception and 25 participants with low cardiac perception
(for assignment of participants to the two cardiac percep-
tion groups see next section). To be included, potential
participants had to be free of any history of cardiac or
cardiovascular diseases or any axis one disorders, as
defined by the Diagnostic and Statistical Manual of Mental
Disorders (DSM-IV, American Psychiatric Association,
1994). Additionally, participants included in the study did
not take any medication affecting the cardiac or respiratory
system. We screened participants’ health status using the
Stamm-Screening Questionnaire (SSQ, Wittchen &
Perkonig, 1996). All participants gave written informed
consent and received a financial remuneration of 12 €.
Assessment of cardiac perception
The participants were assigned to the high versus low
cardiac perception group according to their performance in
the heartbeat detection task (Schandry, 1981). In this task
participants were instructed to count their heartbeats
silently without taking their pulse or attempting any other
physical manipulations, which could facilitate the detection
of heartbeats. First, participants had to relax during a 5-min
rest period. Afterwards, three counting phases followed.
These lasted for 25, 35, and 45 s, which were separated by
rest periods of 30 s. Start and stop signals for counting
were given by the investigator. An individual heartbeat
perception score was calculated by relating the reported to
the actual heartbeats according to the following formula:
Heartbeat perception score ¼1=3
Xð1� ðjactual heartbeats � reported heartbeatsjÞ=
actual heartbeatsÞ
The heartbeat perception score ranges from 0 to 1.
Large differences between reported and actual heart-
beats result in low scores and indicate low cardiac
perception, whereas small differences between reported
and actual heartbeats result in high scores and indicate
high cardiac perception. In accordance with previous
studies, we used a cut-off score of .85 to assign par-
ticipants to the high versus low cardiac perception
group (e.g. Montoya et al., 1993; Pollatos et al., 2005;
Schandry et al., 1986).
In our study, the high cardiac perception group had
significantly higher heartbeat perception scores (M = 0.95,
SD = 0.04) as compared to the low cardiac perception
group (M = 0.67, SD = 0.12) [t(48) = 10.70, p \ .001].
The groups with high and low cardiac perception did not
differ regarding gender (per group 13 men and 12 women).
The groups did also not differ either in their mean age (high
cardiac perception: M = 24.12, SD = 2.83; low cardiac
perception: M = 23.72, SD = 3.22; t(48) = 0.47, p = .64)
or in their body mass index (high cardiac perception:
M = 22.13, SD = 2.29; low cardiac perception:
M = 22.42, SD = 2.50; t(48) = 0.42, p = .68). The dis-
tribution of participants according to graduation and pro-
fession was comparable: All participants had a university-
entrance diploma. In the high cardiac perception group, 22
participants were university students and three were in the
workforce. In the low cardiac perception group, 24 par-
ticipants were university students and one was in the
workforce. The groups did not differ significantly regard-
ing their profession (v2 = 3.58, p = .36).
Mental stress induction
In order to induce mental stress, participants had to conduct
the Determination Test (Vienna Testsystem, SCHUFRIED
GmbH, Modling, Austria). This test assesses the ability to
react under pressure. During the test, participants had to
respond simultaneously to visual stimuli (red, green, yel-
low, blue and white dots on a computer screen) and
acoustic signals (two tones of different pitches presented
via speakers) by pressing a button. The response panel
consisted of five colored buttons (red, green, yellow, blue
and white), each associated with the correspondingly col-
ored dot presented on the computer screen. There was also
one light grey button and one dark grey button. The former
had to be pressed when the high tone was presented, and
the latter had to be pressed when the low tone was pre-
sented. The stimuli were presented continuously and rap-
idly with fixed time limits. The stress test consisted of three
stress periods with different time limits (1,583, 948 and
1,078 ms).
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Assessment of emotional experience and cognitive
performance
Emotional experience was assessed using the Multidi-
mensional Mood Questionnaire (Steyer et al., 1997). This
questionnaire consists of three bipolar dimensions that
describe the current emotional state of an individual: (1)
good versus bad mood, (2) wakefulness versus sleepiness
and (3) calmness versus restlessness. Participants had to
judge 24 adjectives on 5-point Likert scales (1 = definitely
not, 5 = very much). Low sum scores on the dimensions
indicate bad mood, wakefulness and restlessness. Cron-
bach’ s Alpha for the subscales is between .86 and .94
(Steyer et al., 1997).
Cognitive performance was assessed by several outcome
variables of the Determination Test: (1) the number of
correct reactions, (2) the number of incorrect reactions and
(3) the number of omitted reactions. In order to intensify
the participants’ stress experience, participants were
instructed to work as fast as possible and to make as few
mistakes as possible. Additionally, they were told that their
financial remuneration would depend on their test perfor-
mance.
Assessment of control variables
To control for the impact of third variable effects, we
additionally assessed trait anxiety, since this variable has
been associated with cardiac perception (Pollatos et al.,
2007a, b, 2009) and stress responses (Gonzalez-Bono et al.,
2002; Wilken et al., 2000). Trait anxiety was assessed with
the items for trait anxiety of the German adaptation of the
State-Trait-Anxiety Inventory (STAI, Laux et al., 1981).
The items describe how one feels in general and are
answered along 4-point Likert scales (1 = almost never,
4 = almost always).
Furthermore, we assessed performance motivation in
order to ensure that differences in emotional experience
during stress periods were not affected by current effort.
Performance motivation was controlled with two items,
which participants had to judge on 10-point Likert scales
(0 = not at all, 9 = very much). First, participants
answered how important it was for them to perform well on
the Determination Test (performance motivation) and
second, how important it was for them to win a lot of
money (financial motivation).
As fitness can also affect physiological processes (e.g.
Forcier et al., 2006), we asked the participants to answer
two items, which assessed how much exercise they do (in
minutes per week) and what kind of exercise they do
(power and/or endurance training).
Procedure
Upon arrival at the laboratory, participants were given
written information about the experiment and informed
consent was obtained. Thereafter, they were seated on a
chair and were fitted with electrodes to measure heart rate
and skin conductance. The experiment began with a 10-min
rest period, followed by the heartbeat perception task.
Subsequently, the Determination Test was carried out,
beginning with a short practice period to ensure compre-
hension of the task. The Determination Test lasted for
8 min. The Multidimensional Mood Questionnaire was
completed immediately after the rest period and the
Determination Test. Questionnaires assessing the control
variables were completed at the end of the Determination
Test.
Physiological recording
Heart rate and mean skin conductance level were assessed
during the rest and the stress periods using the Biopac MP
150 (Biopac Systems, Inc., Goleta, CA). An electrocar-
diogram (ECG) was recorded with nonpolarizable Ag–
AgCl electrodes, which were attached to the right mid
clavicle and lower left rib cage. ECG activity was digitized
at a sampling rate of 500 Hz. R-waves were detected
automatically and converted into heart rate. For skin con-
ductance recording, electrodes filled with an isotonic gel
were attached to the thenar and hypothenar of the non-
dominant hand. Skin conductance was sampled at 250 Hz.
Mean heart rate and mean skin conductance level were
analyzed using the software Biopac AcqKnowledge 3.9.1
(BIOPAC Systems, Inc., Goleta, CA) for the rest period
and the stress period.
Data analysis
Differences between the cardiac perception groups in
emotional experience, heart rate and skin conductance
level were assessed using repeated measurement ANOVAS
with experimental condition (rest period vs. stress period)
as within-subject factor and cardiac perception group (high
vs. low cardiac perception) as between-subject factor.
Degrees of freedom were adjusted according to Green-
house and Geisser where appropriate. We carried out fol-
low-up contrasts for differences between cardiac
perception groups.
As the variables of cognitive performance were not
normally distributed and in order to compare the three
cognitive parameters, we z-standardized (1) the number of
correct reactions, (2) the number of incorrect reactions and
(3) the number of omitted reactions. We used the z-values
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to indicate differences between participants high and low in
cardiac perceptions regarding cognitive performance using
a MANOVA procedure.
Pearson correlation coefficients were calculated for the
relation between the heartbeat perception score and the
mean of negative emotions as well as the three z-stan-
dardized cognitive performance parameters (correct reac-
tions, incorrect reaction, omitted reactions).
Furthermore, we used t tests to indicate group differ-
ences in trait anxiety, performance motivation, financial
motivation and the time per week the participants spend
exercising. Pearson’s Chi square test was conducted in
order to analyze differences between participants high and
low in cardiac perception with respect to current exercise
activity (power and/or endurance training).
Results
Emotional experience
The repeated measurement ANOVA for the dimension good
versus bad mood revealed a significant main effect of
experimental condition [F(1, 48) = 91.49, p \ .001,
gp2 = .66] with a lower good mood score during the stress
period compared to the rest period. The main effect of
cardiac perception group on the dimension good versus bad
mood was not significant [F(1, 48) = 2.72, p = .11,
gp2 = .05]. But there was a significant interaction effect
between experimental condition and cardiac perception
group [F(1, 48) = 4.44, p = .04, gp2 = .09]. While the
groups did not differ during the rest period (high cardiac
perception: M = 35.11, SD = 3.43; low cardiac percep-
tion: M = 35.38, SD = 1.84; t(48) = 0.35, p = .73), par-
ticipants high in cardiac perception showed a lower good
mood score (M = 27.92, SD = 5.92) as compared to par-
ticipants low in cardiac perception (M = 30.79, SD = 3.74)
during the stress period [t(48) = 2.05, p = .047] (see
Fig. 1).
For the dimension wakefulness versus sleepiness, the
repeated measurement ANOVA did not reveal a main
effect of experimental condition [F(1, 48) = 0.52, p = .47,
gp2 = .01] nor did it show a main effect of cardiac per-
ception group [F(1, 48) = 0.04, p = .84, gp2 \ .01].
Finally, there was no interaction effect between experi-
mental condition and cardiac perception group [F(1,
48) = 0.32, p = .58, gp2 \ .01].
The repeated measurement ANOVA for the dimension
calmness versus restlessness revealed a significant main
effect of experimental condition [F(1, 48) = 306.00,
p \ .001, gp2 = .86] with a lower calmness score during
the stress period (M = 20.31, SD = 5.67) compared to the
rest period (M = 35.88, SD = 2.65). There was no main
effect of cardiac perception group [F(1, 48) = 0.46,
p = .50, gp2 \ .01], nor was there any interaction effect
between experimental condition and cardiac perception
group [F(1, 48) \ 0.01, p = .97, gp2 \ .001].
Cognitive performance
The MANOVA revealed no group differences regarding
the number of correct reactions [F(1, 48) = 0.25, p = .62,
gp2 = .01]. However, there was a significant difference
between participants high in cardiac perception and par-
ticipants low in cardiac perception regarding the number of
incorrect reactions [F(1, 48) = 12.59, p = .001,
gp2 = .21], with participants high in cardiac perception
showing more incorrect reactions than participants low in
cardiac perception. There was also a significant difference
Rest period Stress period0
10
20
30
40Good mood score
sum
sco
re
*
Rest period Stress period0
10
20
30
40Calmness score
sum
sco
re
Rest period Stress period0
10
20
30
40Wakefulness score
High cardiac perception Low cardiac perceptionsu
m s
core
High cardiac perception Low cardiac perception
High cardiac perception Low cardiac perception
Fig. 1 Mean values of emotional experience of participants high
versus low in cardiac perception during the rest period and the stress
period
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regarding the number of omitted reactions [F(1,
48) = 4.65, p = .04, gp2 = .09], with participants high in
cardiac perception showing less omitted reactions than
participants low in cardiac perception (see Fig. 2). To
analyze whether participants high and low in cardiac per-
ception differed in their sum errors, we calculated an error-
score by subtracting the z-standardized number of omitted
reactions from the z-standardized number of incorrect
reaction. Participants high in cardiac perception
(M = 0.75, SD = 1.12) showed significantly more errors
in the Determination Test than participants low in cardiac
perception (M = -0.74, SD = 1.36) (t (48) = 4.25,
p \ .001).
Relationship between cardiac perception and emotion
experience and cognitive performance
With regard to emotion experience, correlation analyses
revealed that cardiac perception correlated by trend nega-
tively with the dimension good versus bad mood for the
stress period (r = -.26, p = .07). However, there was no
significant correlation between cardiac perception and the
dimension wakefulness versus sleepiness (r = -.09,
p = .56) or the dimension calmness versus restlessness
(r = .01, p = .97) for the stress period. There was also no
significant correlation between cardiac perception and the
three emotional dimensions during the rest period (all rs
\.17, all ps [.23).
With regard to cognitive performance, correlation
analyses revealed that cardiac perception correlated posi-
tively with the number of incorrect reactions (r = .43,
p \ .01). However, there were no significant correlation
between cardiac perception and the number of correct
reactions (r = -.01, p = .97) or the number of omitted
reactions (r = -.23, p = .11).1
Impact of emotional experience on cognitive
performance
In order to clarify the impact of emotional experience and
cardiac perception on cognitive performance, a regression
analysis was computed with the good mood score during
rest and stress as well as the heartbeat perception score as
predictor variables and the error-index as the dependent
variable. Only the heartbeat perception score entered the
model as a significant predictor (R2 = .26; heartbeat per-
ception score: beta = .42, p = .003; good mood score
during rest: beta = .23, p = .13; good mood score during
stress: beta = -.21, p = .17). Multicollinearity did not
bias the model (heartbeat perception score: toler-
ance = .93, VIF = 1.08; good mood score during
rest = .77 VIF = 1.30; good mood score during stress:
tolerance = .72, VIF = 1.39).
Physiological response
Regarding mean heart rate, a repeated measurement
ANOVA revealed a significant main effect of experimental
condition [F(1, 45) = 71.91, p \ .001, gp2 = .62] with
higher heart rates during the stress period (M = 82.84,
SD = 11.08) than during the rest period (M = 73.87,
SD = 10.48). Participants high in cardiac perception did
High cardiac perception Low cardiac perception300
350
400
450
500
550
600Number of correct reactions
Mea
n nu
mbe
r
High cardiac perception Low cardiac perception0
2
4
6
8
10Number of incorrect reactions
Mea
n nu
mbe
r **
High cardiac perception Low cardiac perception0
2
4
6
8
10Number of omitted reactions
Mea
n nu
mbe
r
*
Fig. 2 Cognitive performance of participants high versus low in
cardiac perception during the stress period
1 Additionally we conducted correlation analyses between heart rate
and skin conductance level under stress and emotional experience as
well as cognitive performance. There was neither a significant cor-
relation between heart rate under stress and emotional experience (all
rs\.23, all ps[.12) nor between skin conductance level under stress
and emotional experience (all rs\.17, all ps[.24). There was also no
significant correlation between skin conductance level under stress
and cognitive performance (all rs \.12, all ps [.42). Only the cor-
relation between heart rate under stress and correct reactions (r =
-.29, p \ .05) as well as heart rate under stress and omitted reactions
(r = .29, p = .05) reached significance.
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not differ from participants low in cardiac perception
during the rest period (high: M = 73.63, SD = 13.86 vs.
low: 74.11, SD = 5.33) nor during the stress period (high:
M = 80.78, SD = 13.95 vs. low: 84.98, SD = 6.62; [F(1,
45) = 0.62, p = .43, gp2 = .02]. There was no significant
interaction between experimental condition and cardiac
perception group [F(1, 45) = 3.06, p = .09, gp2 = .06].
Regarding skin conductance level, the repeated mea-
surement ANOVA also revealed a significant main effect
of experimental condition [F(1, 48) = 192.75, p \ .001,
gp2 = .80], with higher skin conductance levels during the
stress period (M = 6.33, SD = 2.50) than during the rest
period (M = 3.33, SD = 2.37). Participants high in cardiac
perception did not differ in skin conductance level from
participants low in cardiac perception during the rest period
(high cardiac perception: M = 3.42, SD = 2.54 vs. low
cardiac perception: M = 3.25, SD = 2.23) nor during the
stress period (high cardiac perception: M = 6.08,
SD = 2.49 vs. low cardiac perception: M = 6.59,
SD = 2.54; F(1, 48) = 0.06, p = .80, gp2 \ .01). There
was no significant interaction between experimental con-
dition and cardiac perception group in skin conductance
level [F(1, 48) = 2.41, p = .13, gp2 = .05].
Control variables
Participants high and low in cardiac perception did not
differ with respect to trait anxiety (high cardiac perception:
M = 35.28, SD = 8.53 vs. low cardiac perception:
M = 32.92, SD = 5.76, t(48) = 1.15, p = .26), perfor-
mance motivation (high cardiac perception: M = 8.54,
SD = 0.66 vs. low cardiac perception: M = 8.40,
SD = 0.82, t(48) = 0.67, p = .51), financial motivation
(high cardiac perception: M = 6.67, SD = 2.14 vs. low
cardiac perception: M = 6.60, SD = 2.40, t(48) = 0.10,
p = .92) or the amount time per week they spent exercising
(high cardiac perception: M = 175.55 min, SD =
132.30 min vs. low cardiac perception: M = 200.22 min,
SD = 119.42 min, t(48) = 0.69, p = .49). They also did
not differ with respect to their frequency distribution
regarding power training (v2 = 3.00, p = .15) and endur-
ance training (v2 = 1.56, p = .32).
Discussion
Our study aimed at investigating whether and how cardiac
perception affects emotional experience and cognitive
performance during mental stress. In accordance with our
hypotheses, we found that participants high in cardiac
perception reported worse mood during mental stress and
made more reaction errors than participants low in cardiac
perception. Cognitive performance deterioration during
mental stress was not explained by worse mood but by
cardiac perception. The results were not moderated by
physiological responses, as the cardiac perception groups
did not differ in their heart rate or skin conductance level
during the rest and the stress period.
We see our finding on emotional experience in line with
emotion theories, which emphasize the importance of
somatic feedback for emotional processes (Bechara &
Naqvi, 2004; Cacioppo et al., 1992; Damasio, 1994; James,
1884; Thayer & Lane, 2000). According to James (1884)
and Damasio (1994), somatovisceral feedback is essential
for emotional experience. Accordingly, we assume that
individuals high in cardiac perception experience the
increase in heart rate during mental stress to a stronger
degree, which affects emotional experience. The result is
also in line with previous studies reporting stronger emo-
tional experience in individuals high in cardiac perception
compared to individuals low in cardiac perception (e.g.
Hantas et al., 1982; Pollatos et al., 2007a, c, 2005; Sch-
andry, 1981, 1983; Wiens et al., 2000). Moreover, our data
extend previous findings on cardiac perception and emo-
tional experience by demonstrating that individuals high in
cardiac perception report more negative emotions under
mental stress. This substantiates our earlier study where we
were able to demonstrate that individuals high in cardiac
perception reported more negative emotions during a
mental arithmetic task than individuals low in cardiac
perception (Kindermann & Werner, accepted). In the
present study we were able to replicate this finding by
using a different method for stress induction. We did not
however find differences between the groups on the mood
dimensions wakefulness versus sleepiness and calmness
versus restlessness for the stress period. As these latter
dimensions describe more general bodily states than spe-
cific emotional experience, it seems plausible that both
groups had a similar level of arousal during the mental
stress task. Furthermore, the items of these dimensions
describe general somatic symptoms such as e.g. ‘‘fresh’’ or
‘‘exhausted’’ and thus do not relate directly to cardiovas-
cular signals, which might affect individuals high in car-
diac perception to a stronger degree.
Our data also indicate that mental stress does not only
affect emotional responses in high cardiac perception but
also impairs cognitive performance. In the current study,
individuals high in cardiac perception showed more
incorrect reactions as well as a higher error-index in the
mental stress test than individuals low in cardiac percep-
tion. Incorrect reactions represent difficulty in inhibiting
irrelevant responses and hint at impairment in attention in
the Determination Test (Neuwirth & Benesch, 2007). As
cognitive performance was not related to mood but to
cardiac perception in our study, cognitive impairment does
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not seem to result from stronger emotional disturbances
during mental stress. Thus, we assume that the decreased
cognitive performance in high cardiac perception may be
explained by directing attention to cardiac signals, which
might interfere with directing attention to the task. We see
this in accordance with Pennebaker’ s (1982) Competition
of Cues Theory, which states that external and internal
stimuli share the same limited cognitive resources. Thus,
interference may occur if internal stimuli and external
stimuli compete for the same cognitive resources.
Accordingly, we assume that participants high in cardiac
perception had less cognitive resources for the Determi-
nation Test, because their better perception of internal
stimuli competed with the elaboration of external stimuli.
As a result, participants high in cardiac perception were
less accurate in the elaboration of external stimuli, which in
turn could have led to more errors. This reasoning is also in
line with a recent study demonstrating that individuals high
in cardiac perception show attention interference for
emotional words in an emotional Stroop task compared to
individuals low in cardiac perception (Werner et al., 2014).
At first glance, our results on cognitive functioning seem
to contradict studies showing a better cognitive functioning
for high cardiac perception as compared to low cardiac
perception. Former studies have shown benefits in decision
making, emotional memory and attention processes in high
cardiac perception (Matthias et al., 2009; Werner et al.,
2009c, 2010). However, these former studies investigated
the relationship between cardiac perception and cognitive
functioning under non-stress conditions. Regarding a
stressful condition, our study showed a negative effect of
cardiac perception on cognitive functioning. We assume
that, in stressful situations the resulting physiological
arousal is more distracting and requires more cognitive
resources for individuals more sensitive to interoceptive
processes and thus, leads to cognitive impairment.
Relating to the physiological variables, our results do
not show differences between individuals high and low in
cardiac perception. Nonetheless, both groups showed an
increase in heart rate and skin conductance level in the
stress condition, indicating that the Determination Test was
experienced as challenging. We reason that differences in
emotional experience or cognitive performance under
stress are not due to a stronger physiological arousal under
stress in participants high in cardiac perception as com-
pared to participants low in cardiac perception. Instead, we
hold that these differences are due to a better perception of
somatovisceral feedback in participants high in cardiac
perception. This is in line with previous studies showing no
differences in heart rate or skin conductance between
participants high and low in cardiac perception (Eichler &
Katkin, 1994; Hantas et al., 1982; Werner et al., 2009a, b;
Wiens et al., 2000). As we however did not assess car-
diodynamic measures we cannot rule out the possibility
that differences in cardiodynamic mechanisms could
account for the differences in cognitive performance under
stress with regard to cardiac perception. Previous studies
have shown that high cardiac perception is related to
increased contractility of the heart (Herbert et al., 2010;
Schandry et al., 1993). Thus increases in cardiac contrac-
tility under stress may be perceived by individuals high in
cardiac perception and impair cognitive processes.
Our study suggests that individuals high in cardiac
perception may be especially at risk of developing stress-
related diseases as they show a more pronounced emotional
vulnerability to stress and their cognitive performance is
more impaired under stress. This matches well with early
studies on cardiac perception and anxiety where cardiac
perception has been assumed to be of particular importance
for the etiology and the maintenance of anxiety and anxiety
disorders (cf. Domschke et al., 2010; Ehlers & Breuer,
1996). For instance, research has shown that patients with
panic disorder display a more accurate cardiac perception
than do healthy controls (Ehlers & Breuer, 1992; Eley
et al., 2004; Van der Does et al., 2010). However, there are
also studies suggesting a positive effect of cardiac per-
ception on emotion regulation (e.g. Werner et al., 2013)
and cognitive performance (Matthias et al., 2009; Werner
et al., 2009a, b, c, 2010). Therefore it seems that a tripartite
model of cardiac perception may explain the relation
between cardiac perception and emotional responses best.
Accordingly, low levels of cardiac perception are accom-
panied by less emotional stress responses, high cardiac
perception by dysfunctional emotional stress responses and
middle cardiac perception by average emotional stress
responses. Dunn et al. (2010) already distinguished three
groups of cardiac perception (average, better and worse)
and showed that bodily signals affected decision-making
more in high cardiac perception than in low cardiac per-
ception.
Finally, some limitations of the study have to be con-
sidered. The stress induced in the study was quite moder-
ate, as ratings of the emotional experience indicate.
Nevertheless, there were significant increases in heart rate
and skin conductance level from the rest period to the stress
period. However, it is necessary to analyze the relationship
between cardiac perception, performance and emotional
experience in more distressing situations in order to gen-
eralize the present findings. In this context, it would be
interesting to investigate whether cardiac perception
moderates emotional experience and performance in a
sample of participants having been exposed to severe
stressful events, like patients with burnout or posttraumatic
stress disorder. Furthermore, it would be interesting to
investigate the relationship between cardiac perception and
cardiovascular diseases, as these diseases are strongly
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related to chronic stress experiences. This could provide
new insights into the etiology and therapy of this disorder.
Another limitation concerns the artificial stressor that we
used in our study. To determine the relevance of our results
for daily life, it is necessary to analyze the impact on
cardiac perception on cognitive performance and emotions
under a natural stressor, such as examination stress.
In summary, our study showed a moderating effect of
cardiac perception on emotional experience and cognitive
performance in response to a stressor. Our results indicate
that cardiac perception processes affect stress processes.
Therefore, cardiac perception should be taken into con-
sideration as a further factor explaining variance in the
individual stress response.
Conflict of interest Authors Nicole K. Kindermann and Natalie S.
Werner declare that they have no conflict of interest.
Animal and Human Rights and Informed Consent All proce-
dures followed were in accordance with ethical standards of the
responsible committee on human experimentation (institutional and
national) and with the Helsinki Declaration of 1975, as revised in
2000. Informed consent was obtained from all patients for being
included in the study.
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