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Purpose: Given the important role of the brain in regulating endurance performance, this comparative study sought to determine whether professional road cyclists have superior inhibitory control and resistance to mental fatigue compared to recreational road cyclists. Methods: After preliminary testing and familiarization, eleven professional and nine recreational road cyclists visited the lab on two occasions to complete a modified incongruent colour-word Stroop task (a cognitive task requiring inhibitory control) for 30 min (mental exertion condition), or an easy cognitive task for 10 min (control condition) in a randomized, counterbalanced cross-over order. After each cognitive task, participants completed a 20-min time trial on a cycle ergometer. During the time trial, heart rate, blood lactate concentration, and rating of perceived exertion (RPE) were recorded. Results: The professional cyclists completed more correct responses during the Stroop task than the recreational cyclists (705±68 vs 576±74, p = 0.001). During the time trial, the recreational cyclists produced a lower mean power output in the mental exertion condition compared to the control condition (216±33 vs 226±25 W, p = 0.014). There was no difference between conditions for the professional cyclists (323±42 vs 326±35 W, p = 0.502). Heart rate, blood lactate concentration, and RPE were not significantly different between the mental exertion and control conditions in both groups. Conclusion: The professional cyclists exhibited superior performance during the Stroop task which is indicative of stronger inhibitory control than the recreational cyclists. The professional cyclists also displayed a greater resistance to the negative effects of mental fatigue as demonstrated by no significant differences in perception of effort and time trial performance between the mental exertion and control conditions. These findings suggest that inhibitory control and resistance to mental fatigue may contribute to successful road cycling performance. These psychobiological characteristics may be either genetic and/or developed through the training and lifestyle of professional road cyclists.
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RESEARCH ARTICLE
Superior Inhibitory Control and Resistance to
Mental Fatigue in Professional Road Cyclists
Kristy Martin
1
, Walter Staiano
2
, Paolo Menaspà
3
, Tom Hennessey
1
, Samuele Marcora
4
*,
Richard Keegan
1
, Kevin G. Thompson
1
, David Martin
5
, Shona Halson
5
, Ben Rattray
1
1University of Canberra Research Institute for Sport and Exercise, Canberra, Australia, 2Team Danmark,
Danish Elite Sport Institution, Brøndby, Denmark, 3School of Exercise and Health Science, Edith Cowan
University, Perth, Australia, 4Endurance Research Group, School of Sport and Exercise Sciences,
University of Kent, Canterbury, United Kingdom, 5Physiology, Australian Institute of Sport, Canberra,
Australia
These authors contributed equally to this work.
*s.m.marcora@kent.ac.uk
Abstract
Purpose
Given the important role of the brain in regulating endurance performance, this comparative
study sought to determine whether professional road cyclists have superior inhibitory con-
trol and resistance to mental fatigue compared to recreational road cyclists.
Methods
After preliminary testing and familiarization, eleven professional and nine recreational road
cyclists visited the lab on two occasions to complete a modified incongruent colour-word
Stroop task (a cognitive task requiring inhibitory control) for 30 min (mental exertion condi-
tion), or an easy cognitive task for 10 min (control condition) in a randomized, counterbal-
anced cross-over order. After each cognitive task, participants completed a 20-min time trial
on a cycle ergometer. During the time trial, heart rate, blood lactate concentration, and rat-
ing of perceived exertion (RPE) were recorded.
Results
The professional cyclists completed more correct responses during the Stroop task than the
recreational cyclists (705±68 vs 576±74, p = 0.001). During the time trial, the recreational
cyclists produced a lower mean power output in the mental exertion condition compared to
the control condition (216±33 vs 226±25 W, p = 0.014). There was no difference between
conditions for the professional cyclists (323±42 vs 326±35 W, p = 0.502). Heart rate, blood
lactate concentration, and RPE were not significantly different between the mental exertion
and control conditions in both groups.
Conclusion
The professional cyclists exhibited superior performance during the Stroop task which is
indicative of stronger inhibitory control than the recreational cyclists. The professional
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 1/15
a11111
OPEN ACCESS
Citation: Martin K, Staiano W, Menaspà P,
Hennessey T, Marcora S, Keegan R, et al. (2016)
Superior Inhibitory Control and Resistance to Mental
Fatigue in Professional Road Cyclists. PLoS ONE
11(7): e0159907. doi:10.1371/journal.pone.0159907
Editor: Maria Francesca Piacentini, University of
Rome, ITALY
Received: November 30, 2015
Accepted: July 11, 2016
Published: July 21, 2016
Copyright: © 2016 Martin 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 Statement: All relevant data are
within the paper and its Supporting Information files.
Funding: These authors have no support or funding
to report.
Competing Interests: The authors have declared
that no competing interests exist.
cyclists also displayed a greater resistance to the negative effects of mental fatigue as dem-
onstrated by no significant differences in perception of effort and time trial performance
between the mental exertion and control conditions. These findings suggest that inhibitory
control and resistance to mental fatigue may contribute to successful road cycling perfor-
mance. These psychobiological characteristics may be either genetic and/or developed
through the training and lifestyle of professional road cyclists.
Introduction
Comparisons of professional and recreational or elite and sub-elite athletes have been used to
determine the factors that may contribute to successful sporting performance. With specific
reference to endurance performance, several comparative studies have shown that elite athletes
differ from recreational ones in a number of physiological characteristics including maximal
oxygen consumption (VO
2max
), stroke volume, muscle capillary density and aerobic enzyme
activity, lactate threshold and gross mechanical efficiency [1].
A limitation of this body of research is the almost exclusive examination of factors below
the neck. To the best of our knowledge, the only comparative study of the brain in endurance
athletes has shown increased grey matter volume in the medial temporal lobe compared to
both non-exercising individuals and martial artists [2]. With regards to cognitive function, it
has been recently demonstrated that faster runners during an ultramarathon outperform
slower runners in terms of motor inhibition and suppression of irrelevant information, with no
group differences in selective attention and working memory [3]. These findings suggest that
successful endurance performance may require superior inhibitory control, a cognitive process
essential for self-regulation of behaviour [4]. This proposal is plausible if we consider endur-
ance competitions as self-regulated tasks that require the inhibition of aversive feelings (like
dyspnea, muscle pain, and thermal discomfort), the urge to quit and other negative thoughts in
order to reach the goal of winning or performing at the best of ones own ability [5].
The problem with endurance competitions and other self-regulated tasks requiring inhibi-
tory control and other effortful cognitive processes is that, over time, they can induce a state of
mental fatigue or ego depletion[4]. Mental fatigue has been usually constructed as the nega-
tive effects of prolonged mental exertion on mood (e.g., feelings of tiredness and lack of energy)
and/or performance during cognitive tasks requiring vigilance and other effortful cognitive
processes [6]. However, we and others have recently demonstrated that mental fatigue is also
associated with a higher perception of effort and reduced performance during physical endur-
ance tasks [710]. For example, we demonstrated that performing for 30 min a cognitive task
requiring strong response inhibition increases perception of effort and reduces performance in
a subsequent 5K time trial on a treadmill compared to a 30-min cognitive task in which no
response inhibition is required [9]. Therefore, superior resistance to mental fatigue should pro-
vide an advantage to endurance athletes. However, to date, most research on the characteristics
of successful endurance athletes have focused on the physiological factors associated with supe-
rior resistance to muscle fatigue, e.g. a high percent of type I muscle fibres [1]. We are not
aware of any experimental study investigating the effects of prolonged mental exertion on per-
ception of effort and endurance performance in professional endurance athletes. This is unfor-
tunate because a comparison between professional and recreational endurance athletes is
necessary to test the hypothesis that superior resistance to mental fatigue is a psychobiological
characteristic of successful endurance athletes.
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 2/15
The first aim of the present study was to further investigate the association between inhibi-
tory control and endurance performance by comparing the performance of professional and
recreational road cyclists in a 30-min modified incongruent colour-word Stroop task, a cogni-
tive task requiring strong response inhibition. Based on previous findings of an association
between performance level and inhibitory control in ultramarathon runners [3], we hypothe-
sised that professional cyclists perform better in the Stroop task than their recreational counter-
parts. The second aim of this study was to determine whether superior resistance to mental
fatigue is a psychobiological characteristic of successful endurance athletes. Because resistance
to mental fatigue should provide an advantage to endurance athletes, we hypothesised that,
compared to the recreational cyclists, the professionals are more resistant to the negative effects
of prolonged mental exertion on perception of effort and performance during a subsequent
20-min time trial on a cycle ergometer.
Methods
Participants
Eleven professional, male road cyclists (23.4±6.4 years, 68.2±4.3 kg, 180±7 cm, peak power out-
put 414±48 W, >5 training sessions per week, >500 km per week, >5 years of cycling experi-
ence) and nine recreational male road cyclists (25.6±5.3 years, 80.7±11.3 kg, 177±7 cm, peak
power output 261±28 W, ~3 training sessions per week, ~ 80 km per week, an average of 2
years of cycling experience) volunteered to participate in this study. Taking into account each
participant peak power output and training history, and in line with guidelines designed to
help describe the performance level of participants in sports science research [11], the profes-
sional cyclists were classified as performance level 5 and the recreational cyclists were classified
between performance level 1 and 2. Each participant gave written informed consent prior to
commencing testing. The study design and procedures were approved by the University of
Canberra Committee for Ethics in Human Research. All participants received written instruc-
tions describing the study procedures but were naive to its true aims and hypotheses. Partici-
pants were led to believe the main aim of the study was to investigate the effects of mental
exertion on physiological responses during the time trial. No further specifics were provided.
At the end of the final visit, participants were debriefed and asked not to discuss the real aims
of the study with other participants. One of the professional cyclists was unable to complete all
visits due to injury. This participants data have been included only in the analysis of Stroop
performance.
Experimental Protocol
A randomised crossover design was used for the experimental component of the present study.
The order of the experimental treatment (mental exertion/control or control/mental exertion)
was randomly allocated based on balanced permutations generated by a web-based computer
program (www.randomization.com). Participants were required to visit the laboratory on four
occasions (Fig 1), in a period no longer than two weeks between the first and last visit. Testing
during visits 3 and 4 was completed at the same time of the day. During the initial visit, partici-
pants completed an incremental exercise test, and became familiar with the Stroop task and all
psychological, perceptual and physiological measures. During the second visit, participants were
familiarised with the time trial. During visits 3 and 4, participants completed the baseline mood
questionnaire, followed by either the Stroop task or the control task. After rating their motiva-
tion related to the upcoming time trial, participants were moved to a cycle ergometer where
they completed a standardized warm-up and a 20 min time trial. After cooling down, partici-
pants rated again their current mood. Prior to visits three and four, participants were instructed
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 3/15
to drink 35 ml of water per kilogram of body weight, sleep for at least 7 h, refrain from the con-
sumption of alcohol, and avoid any vigorous exercise the day before visiting the laboratory. Par-
ticipants were also instructed to avoid any caffeine and mentally demanding tasks for at least 3 h
before testing. The day of visit 3, participants were asked to record the time and content of the
meals consumed before testing, and to keep them consistent the day of visit 4. At the beginning
of visits 3 and 4, participants were asked to complete a checklist to ascertain that they had com-
plied with the instructions given to them. Participants were also asked to declare if they had
taken any medication/drug or had an acute illness, injury, or infection on the day.
Experimental Treatment
The mental exertion condition consisted of 30 min of modified incongruent version of the
Stroop colour-word task. Participants performed this cognitive task at a computer, whilst sit-
ting comfortably in a quiet, dimly lit room. This Stroop task consists of four words (yellow,
blue, green, red) serially presented on the computer screen, displayed until the participant
responded, followed by a 1.5 s rest interval. Participants were instructed to press one of four
coloured buttons on the keyboard (yellow, blue, green, red), with the correct response being
the button corresponding to the ink colour (either yellow, blue, green, red) of the word pre-
sented on the screen. For example, if the word blue appeared in yellow ink, the yellow button
had to be pressed. If, however, the ink colour was red, the button to be pressed was the button
linked to the written word, not the ink colour (e.g. if the word blue appears in red, the button
blue was to be pressed). If the ink colour was blue, green or yellow, then the correct button
pressed matched the ink colour. The word presented and its ink colour was randomly selected
by the computer. Twenty practice attempts were allowed to ensure the participant fully under-
stood the instructions. The Stroop task was also performed for 5 min during familiarization in
visit 1. Participants were instructed to respond as quickly and accurately as possible. Visual
feedback was given after each word in the form of correct or incorrect response, reaction time,
and accuracy so far. Responses faster than 200 ms were excluded from the analysis as it is likely
the participant responded before seeing the word [12]. Responses over 2 s were recorded as
lapses and removed from the analysis. This value was chosen arbitrarily as the best trade value
to normalise the data while maintaining the greatest number of responses and highest statisti-
cal power [2]. Average reaction time for the correct responses and accuracy (percentage of cor-
rect responses) were calculated for each of six 5-min epochs during the 30 min Stroop task (5
th
,
10th, 15th, 20th, 25th and 30
th
min). The total number of correct responses were also calculated
for the entire 30 min Stroop task.
The control condition consisted of an easy cognitive task performed under the same condi-
tions as the Stroop task. Participants were instructed to sit quietly in front of the computer
screen and focus for 10 min on the centred black cross, displayed on a white background.
Fig 1. Schematic of the experimental protocol. #Blood lactate sample. 4DMSThe Four Dimensional
Mood Scale. MOTRating of motivation related to the time trial. NASA-TLXThe National Aeronautics and
Space Administration Task Load Index. RPERating of perceived exertion.
doi:10.1371/journal.pone.0159907.g001
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 4/15
Incremental Exercise Test and Time Trial
During the initial visit, participants underwent an incremental exercise test to assess peak
power output. The incremental exercise test was completed on a cycle ergometer (Lode Excali-
bur Sport, Lode, The Netherlands) with the test beginning at 125 W and increasing by 25 W
every 3 min until volitional exhaustion.
Participants completed the time trial during each of the other three visits to the laboratory.
A standardised warm-up was completed by all participants prior to each time trial using an
SRM electromagnetically braked ergometer (High-Performance Ergometer, Schoberer Rad
MeBtechnik, Germany). The time trial was then completed on another electromagnetically
braked cycle ergometer (Velotron Pro, RacerMate Inc., USA). All the ergometers were fitted to
replicate the participantsbike positions. Participants were instructed to cover as much distance
as possible over 20 min. The time trial began in a standard gear; however, participants were
free to alter gearing throughout the time trial. A timer was placed to the front left of partici-
pants and remained visible during the time trial. Participants were blinded to all other perfor-
mance and physiological data. A fan was placed behind the timer and turned on at
participants request, and water was provided ad libitum.
During visits 3 and 4, a researcher who was blind to the experimental treatment received by
the participants provided verbal encouragement throughout the test. This researcher was con-
sistent within participants. Another researcher recorded power output at the 1
st
,4
th
,8
th
,12
th
,
16
th
and 20
th
min of the time trial. Average speed and total distance covered during the time
trial were also recorded.
Physiological and Perceptual Measures
Capillary blood samples were collected before and straight after completion of time trial during
visits 3 and 4. Samples were analysed immediately for blood lactate concentration using the
Lactate Pro 2 (Arkray, Japan) analyser. During visits 3 and 4, heart rate was recorded at the end
of the warm-up, and during the final 15 s of the 1
st
,4
th
,8
th
,12
th
,16
th
and 20
th
min of the time
trial using a heart rate monitor fitted with a chest strap (T34 non-coded heart-rate transmitter,
Polar, Finland).
Rating of perceived exertion (RPE) was measured using the Borg 620 scale [13]. During
visit 1, RPE was anchored during the incremental exercise test using standard procedures [14].
During visits 3 and 4, RPE was measured at the end of the warm-up, and during the final 15 s
of the 1
st
,4
th
,8
th
,12
th
,16
th
and 20
th
min of the time trial. At the appropriate time point, partic-
ipants were asked to point on a large Borg 620 scale the number corresponding to their per-
ception of effort defined as the conscious sensation of how hard, heavy, and strenuous
exercise is[15].
Psychological Measures
The National Aeronautics and Space Administration Task Load Index (NASA-TLX) was used
to assess subjective workload of the cognitive tasks [16]. The NASA-TLX is composed of six
subscales: mental demand (How much mental and perceptual activity was required?), physical
demand (How much physical activity was required?), temporal demand (How much time pres-
sure did you feel due to the rate or pace at which the task occurred?), performance (How suc-
cessful do you think you were in accomplishing the goals of the task set by the experimenter?),
effort (How hard did you have to work to accomplish your level of performance?) and frustra-
tion (How irritating or annoying did you perceive the task?). Participants were asked to score
each of the items on a scale divided into 20 equal intervals anchored by the bipolar descriptors
high and low. This score was multiplied by 5, resulting in a final score between 0 and 100 for
Psychobiological Characteristics and Road Cycling Performance
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each of the subscales. Only the mental demand, temporal demand, effort and frustration sub-
scales were used in the present study.
The Four Dimensional Mood Scale (4DMS) was used to assess changes in mood from the
beginning to the end of visits 3 and 4. The 4DMS consists of 20 adjectives and is designed to
measure positive energy, tiredness, negative arousal, and relaxation. Participants rated each
adjective on the extent to which it described their current mood state using a 5-point Likert
scale. Reliability and validity of this scale have been previously reported [17].
Motivation related to the time trial was measured using a single item (I am motivated to do
the time trial) scored on a 5-point Likert scale (0 = not at all, 1 = a little bit, 2 = somewhat,
3 = very much, 4 = extremely).
Statistical Analysis
All data are presented as mean ± one standard deviation unless otherwise stated. Assumptions
of statistical tests such as normal distribution and sphericity of data were checked as appropri-
ate. Greenhouse-Geisser correction to the degrees of freedom was applied when violations to
sphericity were present. Independent samples t-tests were used to determine the effect of group
(professional and recreational cyclists) on the total number of correct responses during the
Stroop task. A mixed 2 x 6 ANOVA was used to determine the effects of group and time (5th,
10th, 15th, 20th, 25th and 30th min) for reaction time during the Stroop task. Mixed 2 x 2
ANOVAs were used to determine the effects of group and condition (mental exertion vs. con-
trol) on the NASA TLX subscales, motivation related to the time trial, and average speed and
total distance covered during the time trial. A mixed 2 x 2 x 2 ANOVA was used to determine
the effects of group, condition and time (before and after the time trial) for blood lactate con-
centration. A mixed 2 x 2 x 2 ANOVA was used to determine the effects of group, condition
and time (beginning and end of the visit) for mood. Mixed 2 x 2 x 6 ANOVAs were used to
determine the effects of group, condition and time (1
st
,4
th
,8
th
,12
th
,16
th
and 20
th
min) on
heart rate, RPE and power output during the time trial. Significant interactions were followed
up with Bonferroni tests as appropriate. If significant interactions were not found, most rele-
vant main effects are reported. Significance was set at 0.05 (2-tailed) for all analyses. The effect
sizes for the repeated measures ANOVAs were calculated as partial eta squared (η²p), using the
small = 0.02, medium = 0.13 and large = 0.26 interpretation for effect size [18]. All data analysis
was conducted using the statistical packages for social science (SPSS version 20).
Results
Psychological Responses
Using the NASA-TLX, the Stroop task was rated as being more mentally demanding (grand
mean mental exertion 77±11 and control 24±23, main effect of condition, p<0.001,
η²p = 0.838), more temporally demanding (grand mean mental exertion 63±16 and control 12
±8, main effect of condition, p<0.001, η²p = 0.887) and more frustrating (grand mean mental
exertion 56±23 and control 19±19, main effect of condition, p<0.001, η²p = 0.749) than the
control task, with no significant main effects of group or group x condition interactions. There
was, however, a significant group x condition interaction for effort (p = 0.033, η²p = 0.240).
Follow-up tests revealed that both the professional (76±19, p<0.001, η²p = 0.904) and the rec-
reational cyclists (65±20, p = 0.001, η²p = 0.745) rated the Stroop task as more effortful than
the control task, although the recreational cyclists (24±20) rated the control task as more effort-
ful than the professional cyclists (10±19) did (p = 0.046, η²p = 0.213).
Analysis of the 4DMS revealed a decrease over time in positive energy (grand mean pre 3.0
±0.7 and post 2.4±0.8, main effect of time, p<0.001, η²p = 0.361) and relaxation (grand mean
Psychobiological Characteristics and Road Cycling Performance
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pre 3.3±0.7 and post 3.0±0.8, main effect of time, p = 0.014, η²p = 0.165) with no significant
main effects of group and condition, and no significant interactions. Tiredness increased over
time (grand mean pre 2.2±0.5 and post 3.6±0.5, main effect of time, p<0.001, η²p = 0.771),
with no significant main effects of group and condition, and no significant interactions. There
were no significant main effects of time, group and condition, and no significant interactions
for negative arousal (overall grand mean: 1.5±3.4).
There were no significant main effects of group and condition, and no group x condition
interaction on motivation related to the time trial (overall grand mean: 2.3±0.8).
Stroop Performance
There was a significant group x time interaction for reaction time (p = 0.023, η²p = 0.165) (Fig
2a). Followup tests revealed that reaction time decreased over time in both the professional
(p<0.001, η²p = 0.671) and recreational cyclists (p = 0.019, η²p = 0.278). However, the profes-
sional cyclists showed a greater decrease in reaction time over time compared to the recreational
cyclists. There were no significant main effects of group and time, and no significant group x
time interaction for accuracy (Fig 2b). In total, professional cyclists completed more correct
responses than recreational cyclists (p = 0.001, η²p = 0.481) during the Stroop task (Fig 3).
Time Trial Performance
There was a significant group x condition interaction for average speed during the time trial
(p = 0.017, η²p = 0.293). Follow-up tests revealed that the professional cyclists were faster than
their recreational counterparts in both the mental exertion (p<0.001, η²p = 0.822) and control
condition (p<0.001, η²p = 0.857). In the professional cyclists, average speed during the time
trial was not significantly different between conditions (mental exertion: 44.1±2.2 km.hr-1,
control: 44.3±1.8 km.hr-1, p = 0.261, η²p = 0.138). On the contrary, the recreational cyclists
were significantly slower in the mental exertion condition (34.3±2.6 km.hr-1) than in the con-
trol condition (35.5±1.9 km.hr-1, p = 0.003, η²p = 0.683).
Similarly, there was a significant group x condition interaction for total distance covered
during the time trial (p = 0.019, η²p = 0.285). Follow-up tests revealed that the professional
cyclists covered more distance than the recreational cyclists in both the mental exertion
(p<0.001, η²p = 0.821) and control condition (p<0.001, η²p = 0.867). In the professional
cyclists, total distance covered during the time trial was no significantly different between con-
ditions (mental exertion: 14.8±0.7 km, control: 14.8±0.6 km, p = 0.223, η²p = 0.160). On the
contrary, the recreational cyclists covered significantly less distance in the mental exertion con-
dition (11.4±0.9) than in the control condition (11.8±0.6 km, p = 0.006, η²p = 0.633).
There was a group x condition x time interaction for power output during the time trial
(p = 0.049, η²p = 0.153) (Fig 4). Follow-up tests revealed that there were no significant main
effects of condition (p = 0.675, η²p = 0.020) and time (p = 0.484, η²p = 0.072) in the profes-
sional cyclists. In the recreational cyclists, power output during the time trial was significantly
lower in the mental exertion condition than in the control condition (main effect of condition,
p = 0.017, η²p = 0.530) and increased significantly over time in both conditions (main effect of
time, p = 0.003, η²p = 0.486).
Physiological and Perceptual Responses
There were no significant interactions, and no significant main effects of group and condition
for blood lactate concentration which increased significantly from before (grand mean: 3.2±1.2
mmol.l-1) to after (grand mean: 9.5±2.5 mmol.l-1) the time trial (main effect of time p<0.001,
η²p = 0.846).
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Fig 2. Reaction time (A) and accuracy (B) over time during the 30-min Stroop task in professional (n = 11) and recreational (n = 9) road
cyclists. § Significant group x time interaction (p <0.05). Data are presented as mean ±SEM.
doi:10.1371/journal.pone.0159907.g002
Fig 3. Total number of correct responses during the 30-min Stroop task in professional (n = 11) and
recreational (n = 9) road cyclists. *Significant difference between groups (p <0.05). Data are presented as
mean ±SEM.
doi:10.1371/journal.pone.0159907.g003
Psychobiological Characteristics and Road Cycling Performance
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There were no significant group x condition x time and group x condition interactions for
heart rate during the time trial (Fig 5). There was, however, a significant group x time interac-
tion (p = 0.010, η²p = 0.234). Follow-up tests revealed that heart rate increased over time in
both the professional (p<0.001, η²p = 0.773) and the recreational cyclists (p<0.001,
η²p = 0.0.818). The professional cyclists had higher heart rates than the recreational cyclists at
minutes 4 (p = 0.002, η²p = 0.245), 8 (p = 0.001, η²p = 0.275), 12 (p<0.001, η²p = 0.371) and 16
(p<0.001, η²p = 0.316) of the time trial.
There were no significant group x condition x time and group x condition interactions for
RPE during the time trial (Fig 6). A significant group x time interaction was found on RPE dur-
ing the time trial (p = 0.005, η²p = 0.272). Follow-up tests reveal that RPE increased over time
for both the professional (p<0.001, η²p = 0.748) and recreational cyclists (p<0.001,
η²p = 0.895). The professional cyclists reported significantly higher RPE than recreational
cyclists at minutes 1 (p<0.001, η²p = 0.338), 4 (p<0.001, η²p = 0.444), 8 (p<0.001,
η²p = 0.321), 12 (p = 0.001, η²p = 0.269) and 16 (p = 0.016, η²p = 0.160) of the time trial.
Discussion
As we hypothesised, the professional road cyclists performed better in the Stroop task than
their recreational counterparts. We also found that, compared to the recreational cyclists, the
professionals were more resistant to the negative effects of prolonged mental exertion on
Fig 4. Effect of prior mental exertion on power output during the 20-min time trial in professional (n = 10) and
recreational (n = 9) road cyclists. §§ Significant group x condition x time interaction (p <0.05). # Significant main
effect of time in recreational cyclists (p <0.05). *Significant main effect of condition in recreational cyclists (p <0.05).
Data are presented as mean ±SEM.
doi:10.1371/journal.pone.0159907.g004
Psychobiological Characteristics and Road Cycling Performance
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perception of effort and performance during a subsequent 20-min time trial on a cycle ergome-
ter. These findings suggest that successful endurance performance may require superior inhibi-
tory control and resistance to mental fatigue.
Inhibitory control
Analysis of reaction time showed that professional cyclists progressively improved perfor-
mance throughout the 30-min Stroop task whilst recreational cyclists improved their perfor-
mance only over the first 10 minutes. Because accuracy was similar between the two groups,
overall the professional cyclists completed significantly more correct responses than the recrea-
tional cyclists during the Stroop task. The fact that professional and recreational cyclists
reported similar levels effort in relation to the Stroop task suggests that superior performance
was not due to different levels of task engagement. Therefore, we propose that superior Stroop
performance is indicative of better inhibitory control in professional cyclists compared to rec-
reational ones. Our findings concur with the results of a recently published study in which the
median-split technique was used to divide 30 participants into faster and slower runners based
on their ranking in an ultramarathon [3]. Analysis of a battery of cognitive tests administered
before their participation in the ultramarathon revealed that faster runners performed better
than the slower runners in trials requiring inhibition of inappropriate motor responses, and
were more effective in suppressing irrelevant information during dual-task performance. The
Fig 5. Effect of prior mental exertion on heart rate during the 20-min time trial in professional (n = 10) and
recreational (n = 9) road cyclists. § Significant group x time interaction (p <0.05). # Significant main effects of time in
professional and recreational cyclists (p <0.05). Significant simple main effects of group (p <0.05). Data are presented
as mean ±SEM.
doi:10.1371/journal.pone.0159907.g005
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 10 / 15
cognitive performance of faster runners also seems to be less affected by emotional stimuli.
Overall, our results and the recent findings of [3] suggest that superior inhibitory control is a
psychobiological characteristic of successful endurance athletes. At an anecdotal level, this
association is plausible because an endurance athlete with better inhibitory control is more
likely to persist with strenuous training programs, dietary restrictions, and limitations to his/
her social life while also being better able to exert control over his/her thoughts, feelings and
actions during competitions.
As in other comparative studies, we can only speculate on why successful endurance athletes
have superior inhibitory control. Previous studies of self-regulation suggest that inhibitory con-
trol may be a largely genetic and stable trait. Children who demonstrated greater inhibitory
control by forgoing an immediate reward, for double the reward a period of time later [19]
tended to have better exam scores [20], higher levels of education [21] and healthier body mass
index [22] later in life than those children who chose the immediate single reward. A study of
monozygotic and dizygotic twins indicated that individual differences in effortful cognitive
processes including inhibitory control are almost entirely genetic in origin and largely unaf-
fected by general intelligence or perceptual speed [23]. Genetic variation has also been associ-
ated with individual differences in brain activity related to response inhibition in Go/No-Go
tasks [24]. It is, therefore, plausible that genetic factors, selected through talent identification
programs and/or success in competitions, could explain the superior inhibitory control we
observed in professional road cyclists.
Fig 6. Effect of prior mental exertion on rating of perceived exertion (RPE) during the 20-min time trial in
professional (n = 10) and recreational (n = 9) road cyclists. § Significant group x time interaction (p <0.05). #
Significant main effects of time in professional and recreational cyclists (p <0.05). Simple main effects of group
(p <0.05). Data are presented as mean ±SEM.
doi:10.1371/journal.pone.0159907.g006
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 11 / 15
Although inhibitory control seems to have high heritability, other research suggests that aer-
obic training and the lifestyle of professional athletes may also contribute. With regards to aer-
obic training, a structural neuroimaging study in elderly people demonstrated that 6-month
aerobic training increases the volume of the anterior cingulate cortex (ACC) [25], a cortical
area associated with Stroop performance [26,27]. Furthermore, neural efficiency may also
improve with aerobic training as a functional neuroimaging study showed reduced activation
of the ACC during an effortful cognitive tasks in fit older adults compared to unfit individuals
[28]. These cortical adaptations may mediate the specific effects of aerobic training on cogni-
tive tasks that require inhibitory control and other effortful cognitive processes [29]. Although
more neuroimaging research in young adults is required, these studies provide some support to
our speculation that the high aerobic training load required by professional road cycling may
be in part responsible for the superior Stroop performance we observed in the present study.
With regards to lifestyle, it is likely that professional road cyclists would encounter situa-
tions requiring self-regulation and inhibitory control on a more consistent basis than recrea-
tional ones. Professional endurance athletes must monitor their diet, alcohol intake, refrain
from smoking, ensure they get enough rest and follow a strict physical training program. This
consistent self-regulation of behaviour may strengthen inhibitory control across the physical
and cognitive domains as demonstrated by research on self-regulatory training. For example,
college students who spent 2 weeks doing one of three self-regulatory exercises (monitoring
and improving posture, regulating mood, or monitoring and recording eating) performed bet-
ter than a control group in a physical endurance task following a thought-suppression task
[30].
Resistance to Mental Fatigue
The second aim of this study was to test the hypothesis that professional endurance athletes
have superior resistance to mental fatigue compared to their recreational counterparts. We
tested this hypothesis by asking our participants to perform the Stroop task for 30 minutes and
measuring the effects of this prolonged mental exertion on perception of effort and perfor-
mance during a subsequent 20-min time trial on a cycle ergometer. Consistent with previous
research on mental fatigue and self-paced endurance performance [7,9], the recreational
cyclists produced a lower power output for the same RPE during the time trial following the
Stroop task compared to the control task. The professional cyclists, however, did not record
any difference in either RPE or time trial performance between the mental exertion and control
conditions. These results suggest that the professional cyclists were not mentally fatigued after
performing the Stroop task for 30 minutes. We can exclude lower engagement during the
Stroop task as a possible explanation for the lack of mental fatigue in the professionals. Firstly,
their ratings of effort and mental demand in relation to the Stroop task were not significantly
different from those of the recreational cyclists. Secondly, as discussed earlier, Stroop perfor-
mance was actually better in professional road cyclists compared to their recreational counter-
parts. Therefore, superior resistance to mental fatigue, not lower exertion, is the most likely
explanation for no negative effects of the Stroop task on perception of effort and endurance
performance in professional road cyclists. Superior resistance to mental fatigue may also
explain why the professionals responded more quickly than recreational cyclists in the latter
stages of the Stroop task.
We are not aware of studies on the heritability of resistance to mental fatigue. However, sev-
eral studies have demonstrated that the negative effects of sleep deprivation on brain activity
and cognitive performance show large and stable individual differences, possibly related to ade-
nosinergic mechanisms [31]. Given that adenosinergic mechanisms are also involved in mental
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 12 / 15
fatigue [32], future research should establish whether genetic factors could explain the superior
resistance to mental fatigue we observed in professional road cyclists.
With regards to environmental factors, our previous discussion on the effects of aerobic
training on ACC morphology and function is relevant to superior resistance to mental fatigue
in professional road cyclists. This cortical area has been associated with both mental fatigue
[33,34] and perception of effort during physical tasks [35]. Therefore, the ACC provides a
plausible neurobiological link between prolonged mental exertion, high perception of effort,
and reduced endurance performance [8]. Unfortunately, little is known about the effects of aer-
obic training on the brain of young adults. It is possible, however, that the high volume and
intensity of aerobic training required by professional road cycling may induce morphological
and functional adaptations in the ACC that increase resistance to mental fatigue. Further
research using neuroimaging methods should test this interesting hypothesis. In addition to
high training load, other psychobiological stressors (e.g., competitions, media intrusion, self-
regulation of diet and other behaviours) may induce a degree of mental fatigue in a natural set-
ting. Therefore, professional road cyclists may have been more prepared than their recreational
counterparts to resist the negative effects of prolonged mental exertion on perception of effort
and endurance performance.
Although our findings suggest that superior resistance to mental fatigue may be an impor-
tant psychobiological characteristic of successful endurance athletes, this does not mean that
successful endurance athletes are immune to mental fatigue. A limitation of the current study
is that the Stroop task was quite short in duration (30 min) compared to the duration of cogni-
tive tasks traditionally used in mental fatigue research (90 up to 180 min) [8,36]. Furthermore,
the improvement in reaction time during the Stroop task suggests that the task became pro-
gressively easier (habituation effect). Therefore, mental exertion was far from extreme in the
present study. Research on overtraining syndrome clearly suggests that higher levels of psycho-
biological stress can induce symptoms of mental fatigue (mood disturbances, a higher-than-
normal perception of effort during training, and reduced performance) even in elite athletes
[37].
Practical Applications
The results of the present study may provide a number of novel practical applications. Firstly,
given the strong genetic component of inhibitory control, it is possible that the Stroop task and
other cognitive tests will be used in conjunction with physiological and anthropometric tests to
identify athletes that may be more likely to succeed in endurance sports. The addition of a cog-
nitive aspect to athlete testing would extend the current talent identification process and poten-
tially lead to a more targeted use of athlete funding. Secondly, novel interventions specifically
designed to improve inhibitory control and resistance to mental fatigue may help endurance
athletes looking to further enhance their performance or those struggling with self-regulation
of their behaviour. Such interventions may include the teaching of self-regulatory skills as well
as novel training methods in which mental exertion is combined with aerobic training [38].
Supporting Information
S1 File. Performance, physiological and psychological data.
(XLSX)
S2 File. Stroop performance data for professional and recreational road cyclists.
(XLSX)
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 13 / 15
Acknowledgments
The authors would like to acknowledge the assistance of Dr Chris Abbiss in the design of the
experimental protocol. The authors declare no conflict of interest.
Author Contributions
Conceived and designed the experiments: KM WS PM TH SM KT DM BR SH. Performed the
experiments: KM WS PM TH BR. Analyzed the data: KM WS. Contributed reagents/materials/
analysis tools: PM DM SH. Wrote the paper: KM WS PM SM RK KG BR.
References
1. Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;
586(1):3544. PMID: 17901124
2. Basner M, Dinges DF. Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss.
Sleep. 2011; 34(5):58191. PMID: 21532951
3. Cona G, Cavazzana A, Paoli A, Marcolin G, Grainer A, Bisiacchi PS. Its a Matter of Mind! Cognitive
Functioning Predicts the Athletic Performance in Ultra-Marathon Runners. PLOS ONE 2015; 10(7).
4. Muraven M, Baumeister RF. Self-regulation and depletion of limited resources: Does self-control
resemble a muscle? Psychol Bull. 2000; 126(2):24759. PMID: 10748642
5. Marcora S. Counterpoint: Perception of effort during exercise is independent of afferent feedback from
skeletal muscles, heart, and lungs. J Appl Physiol. 2009; 106(6):20602.
6. Boksem MA, Tops M. Mental fatigue: costs and benefits. Brain Res Rev. 2008; 59(1):12539. doi: 10.
1016/j.brainresrev.2008.07.001 PMID: 18652844
7. MacMahon C, Schücker L, Hagemann N, Strauss B. Cognitive fatigue effects on physical performance
during running. J Sport Exerc Psychol. 2014; 36(5):37581.
8. Marcora SM, Staiano W, Manning V. Mental fatigue impairs physical performance in humans. J Appl
Physiol. 2009; 106:85764. doi: 10.1152/japplphysiol.91324.2008 PMID: 19131473
9. Pageaux B, Lepers R, Dietz KC, Marcora SM. Response inhibition impairs subsequent self-paced
endurance performance. Eur J Appl Physiol. 2014; 114(5):111.
10. Smith MR, Marcora SM, Coutts AJ. Mental fatigue impairs intermittent running performance. Med Sci
Sports Exerc. 2014.
11. De Pauw K, Roelands B, Cheung SS, De Geus B, Rietjens G, Meeusen R. Guidelines to classify sub-
ject groups in sport-science research. Int J Sports Physiol Perform. 2013; 8(2):11122. PMID:
23428482
12. Whelan R. Effective analysis of reaction time data. Psychol Rec. 2010; 58(3):47582.
13. Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970; 2:928.
PMID: 5523831
14. Noble BJ, Robertson RJ. Perceived exertion. Champaign: Human Kinetics; 1996.
15. Marcora S. Effort: Perception of. In: Goldstein EB, editor. Encyclopedia of Perception: Sage Publica-
tions; 2010. p. 3803.
16. Hoonakker P, Carayon P, Gurses AP, Brown R, Khunlertkit A, McGuire K, et al. Measuring workload of
ICU nurses with a questionnaire survey: the NASA Task Load Index (TLX). IIE Trans Health Syst Eng.
2011; 1(2):13143.
17. Huelsman TJ, Nemanick RC, Munz DC. Scales to measure four dimensions of dispositional mood: Pos-
itive energy, tiredness, negative activation, and relaxation. Educ Psychol Meas. 1998; 58:80419.
18. Bakeman R. Recommended effect size statistics for repeated measures designs. Behav Res Methods.
2005; 37(3):37984. PMID: 16405133
19. Mischel W, Ebbesen EB, Raskoff Zeiss A. Cognitive and attentional mechanisms in delay of gratifica-
tion. J Pers Soc Psychol. 1972; 21(2):204. PMID: 5010404
20. Mischel W, Shoda Y, Rodriguzez ML. Delay of gratification in children. Science. 1989; 244(4907):933
8. PMID: 2658056
21. Ayduk O, Mendoza-Denton R, Mischel W, Downey G, Peake PK, Rodriguez M. Regulating the interper-
sonal self: strategic self-regulation for coping with rejection sensitivity. J Pers Soc Psychol. 2000; 79
(5):776. PMID: 11079241
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 14 / 15
22. Schlam TR, Wilson NL, Shoda Y, Mischel W, Ayduk O. Preschoolers' delay of gratification predicts
their body mass 30 years later. J Pediatr. 2013; 162(1):903. doi: 10.1016/j.jpeds.2012.06.049 PMID:
22906511
23. Friedman NP, Miyake A, Young SE, DeFries JC, Corley RP, Hewitt JK. Individual differences in execu-
tive functions are almost entirely genetic in origin. J Exp Pschol Gen. 2008; 137(2):201.
24. Anokhin AP, Heath AC, Myers E. Genetics, prefrontal cortex, and cognitive control: a twin study of
event-related brain potentials in a response inhibition task. Neurosci Lett. 2004; 368(3):3148. PMID:
15364418
25. Colcombe SJ, Erickson KI, Scalf PE, Kim JS, Prakash R, McAuley E, et al. Aerobic exercise training
increases brain volume in aging humans. J Gerontol A Biol Sci Med Sci. 2006; 61(11):116670. PMID:
17167157
26. Gruber SA, Rogowska J, Holcomb P, Soraci S, Yurgelun-Todd D. Stroop performance in normal control
subjects: an fMRI study. Neuroimage. 2002; 16(2):34960. PMID: 12030821
27. Laird AR, McMillan KM, Lancaster JL, Kochunov P, Turkeltaub PE, Pardo JV, et al. A comparison of
labelbased review and ALE metaanalysis in the Stroop task. Human brain mapping. 2005; 25(1):6
21. PMID: 15846823
28. Wong CN, Chaddock-Heyman L, Voss MW, Burzynska AZ, Basak C, Erickson KI, et al. Brain activation
during dual-task processing is associated with cardiorespiratory fitness and performance in older
adults. Front Aging Neurosci. 2015; 7(154).
29. Kramer AF, Hahn S, Cohen NJ, Banich MT, McAuley E, Harrison CR, et al. Ageing, fitness and neuro-
cognitive function. Nature. 1999; 400(6743):4189. PMID: 10440369
30. Muraven M, Baumeister RF, Tice DM. Longitudinal improvment of self-regulation through practise:
Building self-control through repeated exercise. Journal of Social Psychology 1999; 139:44657.
PMID: 10457761
31. Rétey JV, Adam M, Gottselig JM, Khatami R, Dürr R, Achermann P, et al. Adenosinergic mechanisms
contribute to individual differences in sleep deprivation-induced changes in neurobehavioral function
and brain rhythmic activity. J Neurosci. 2006; 26(41):104729. PMID: 17035531
32. Lorist MM, Tops M. Caffeine, fatigue, and cognition. Brain Cogn. 2003; 53(1):8294. PMID: 14572506
33. Lim J, Wu WC, Wang J, Detre JA, Dinges DF, Rao H. Imaging brain fatigue from sustained mental
workload: an ASL perfusion study of the time-on-task effect. Neuroimage. 2010; 49(4):342635. doi:
10.1016/j.neuroimage.2009.11.020 PMID: 19925871
34. Lorist MM, Boksem MAS, Ridderinkhof KR. Impaired cognitive control and reduced cingulate activity
during mental fatigue. Cognitive Brain Res. 2005; 24(2):199205.
35. Williamson JW, McColl R, Mathews D, Mitchell JH, Raven PB, Morgans WP. Hypnotic manipulation of
effort sense during dynamic exercise: cardiovascular responses and brain activation. J Appl Physiol.
2001; 90(4):13929. PMID: 11247939
36. Boksem MA, Meijman TF, Lorist MM. Effects of mental fatigue on attention: an ERP study. Brain Res
Cog Brain Res. 2005; 25:10716.
37. Purvis D, Gonsalves S, Deuster PA. Physiological and psychological fatigue in extreme conditions:
overtraining and elite athletes. PM&R. 2010; 2(5):44250.
38. Marcora SM, Staiano W, Merlini M, editors. A randomised controlled trial of Brain Endurance Training
(BET) to reduce fatigue during endurance exercise. 62nd Annual Meeting of the American College of
Sports Medicine; 2015 May 2630; San Diego (USA): American College of Sports Medicine.
Psychobiological Characteristics and Road Cycling Performance
PLOS ONE | DOI:10.1371/journal.pone.0159907 July 21, 2016 15 / 15

Supplementary resources (2)

... The present results are in line with previous studies using MF and self-regulated closed-loop physical tests, such as TT. 2 It is worth noting that the MF manipulation did not impact RPE during the cycling TT, which is broadly similar to previous studies in this context. 26,27 This is because TTs require participants to cycle as fast as possible for a specific amount of time, and therefore, one would expect to see an effect of MF on power output performance (for further comparison of TTs and TTEs, see study by Marcora et al 1 ). Although the RPE did not change during the TT, it is clear participants who use RPE to pace themselves were pushing on the pedal with less power when they were mentally fatigued. ...
... Therefore, we argue that the current reduction in TT performance reflects a central effect, namely, altered RPE, due to MF. Although MF does not always affect cycling performance, and may depend on the level of cyclists and the type of load applied, 26 we observed a 5% impairment in overall cycling performance. When comparing such a decrement with previous studies, it is important to mention that the present TT was performed following resistance training, and thus, participants were not in a fresh state. ...
... Similarly, in part 2, we did not see any effect of MF on blood lactate and HR during the cycling TT. These results are in line with previous studies 26,27 and support the general idea 2 that MF affects performance via a central mechanism and alters RPE through processes other than peripheral physiological activity. ...
Article
Purpose: Mental fatigue (MF) can impair physical performance in sport. We tested the hypothesis that cognitive load alone, and intermixed with standard resistance training, would induce MF, increase rating of perceived exertion (RPE), alter perception of weight lifting and training, and impair cycling time-trial performance. Methods: This 2-part study employed a within-participant design. In part 1, after establishing leg-extension 1-repetition maximum (1RM), 16 participants lifted and briefly held weights at 20%, 40%, 60%, and 80% of 1RM. RPE and electromyography (EMG) were measured for each lift. During the testing sessions, participants completed cognitive tasks (MF condition) or watched neutral videos (control condition) for 90 minutes before lifting the weights. In part 2, they completed submaximal resistance training comprising 6 weight training exercises followed by a 20-minute cycling time trial. In the MF condition, they completed cognitive tasks before and between weight training exercises. In the control condition, they watched neutral videos. Mood (Brunel Mood Scale), workload (National Aeronautics and Space Administration Task Load Index), MF-visual analogue scale (MF-VAS), RPE, psychomotor vigilance, distance cycled, power output, heart rate, and blood lactate were measured. Results: In part 1, the cognitive task increased lift-induced RPE (P = .011), increased MF-VAS (P = .002), and altered mood (P < .001) compared with control. EMG did not differ between conditions. In part 2, the cognitive tasks increased RPE (P < .001), MF-VAS (P < .001), and mental workload (P < .001), but reduced cycling time-trial power (P = .032) and distance (P = .023) compared with control. Heart rate and blood lactate did not differ between conditions. Conclusion: A state of MF induced by cognitive load, alone or intermixed with physical load, increased RPE during weight lifting and training and impaired subsequent cycling performance.
... The following individual features (and the reason behind their selection) were analysed using a multiple meta-regression: age (chosen based on deterioration of cognitive abilities with old age and the development of the brain during youth [53,54]), biological sex (chosen based on the different ways that men and women cope with mental load [36,55]), anthropometric measures (based on a link between body mass index (BMI)/body fat percentage, a typical measure of health, and cognitive abilities [56]) and training level (based on the hypothesized cognitive abilities of elite athletes [31,57] and the ...
... The following intervention tasks were used to induce MF: computer/app-based cognitive tasks (i.e., Stroop [31,35,36,[68][69][70][71][72][73][74][75][76], AX continuous performance task (AX-CPT) [3,77,78], rapid visual information processing test (RVIP) [67,79,80], TloadDback [81], stopsignal task [82] or a combination of cognitive tasks [32,33]), paper-based cognitive tasks (i.e., Stroop [29,[83][84][85][86], an arithmetic task [68]) and smartphone use [87]. In most studies, some form of documentary movie was included as a control condition [3,29,33,36,69,70,77,78,[82][83][84]87]. ...
... In most studies, some form of documentary movie was included as a control condition [3,29,33,36,69,70,77,78,[82][83][84]87]. Other control tasks consisted of drawing a mandala [68], reading (emotionally neutral) magazines [35,73,75,85,86], staring at a white screen [32] or black cross [31], performing cognitive tasks that required less cognitive load [71,72,74] and rest [80,81]. Some studies employed no control tasks [67,76,79]. ...
Article
Full-text available
Abstract Background The negative effect of mental fatigue (MF) on physical performance has recently been questioned. One reason behind this could lie in the interindividual differences in MF-susceptibility and the individual features influencing them. However, the range of individual differences in mental fatigue-susceptibility is not known, and there is no clear consensus on which individual features could be responsible for these differences. Objective To give an overview of interindividual differences in the effects of MF on whole-body endurance performance, and individual features influencing this effect. Methods The review was registered on the PROSPERO database (CRD42022293242). PubMed, Web of Science, SPORTDiscus and PsycINFO were searched until the 16th of June 2022 for studies detailing the effect of MF on dynamic maximal whole-body endurance performance. Studies needed to include healthy participants, describe at least one individual feature in participant characteristics, and apply at least one manipulation check. The Cochrane crossover risk of bias tool was used to assess risk of bias. The meta-analysis and regression were conducted in R. Results Twenty-eight studies were included, with 23 added to the meta-analysis. Overall risk of bias of the included studies was high, with only three presenting an unclear or low rating. The meta-analysis shows the effect of MF on endurance performance was on average slightly negative (g = − 0.32, [95% CI − 0.46; − 0.18], p
... The observed unfavourable changes in performance may be attributed to underlying impairments such as the ability to react quickly and accurately (Boksem et al., 2006), as well as the capacity to identify and respond to cues (Boksem et al., 2006;Lorist et al., 2000) when mentally fatigued. Nonetheless, these observations were documented in amateur lower level populations which may respond differently to mental fatigue compared to higher level athletes with a greater training history or even superior level of fitness (Martin et al., 2016). Furthermore, a recent systematic review exploring research related mental fatigue and basketball performance illuminated the paucity of evidence in the literature, with only 7 studies identified relating mental fatigue to basketball performance, and of those studies only 1 study incorporated the most frequently attempted shot in basketball, the jump shot (Cao et al., 2022). ...
... These findings contrast Filipas et al. (Filipas et al., 2021), who reported decreases in free-throw makes in amateur basketball players following 30-minutes of watching tactical videos (Filipas et al., 2021). The differences in findings between studies may be related to the athletes' experience level, as previous research has shown that elite basketball players display greater free-throw accuracy, which may lead to increased resiliency from outside perturbations, such as mental fatigue, resulting in less impact on performance (Martin et al., 2016;Mandić et al., 2019). Similarly, previous studies in soccer have proposed that professional soccer players may be more resilient to the negative effects of mental fatigue since they display higher cognitive/executive function than less experienced athletes (Smith et al., 2018;Vestberg et al., 2012). ...
... Similarly, previous studies in soccer have proposed that professional soccer players may be more resilient to the negative effects of mental fatigue since they display higher cognitive/executive function than less experienced athletes (Smith et al., 2018;Vestberg et al., 2012). Additionally, previous work by Martin et al, showed that professional cyclists displayed superior inhibitory control and increased resiliency to the negative effects of mental fatigue compared to their recreationally training counterparts (Martin et al., 2016). Furthermore, it is important to consider that jump shooting may require more cognitively demanding efforts than free-throws, which was reflected through performance decrements when athletes are mentally fatigued. ...
Article
Purpose The aim of this investigation was to examine the impact of mental fatigue on basketball specific shooting performance, utilising the newly developed basketball Standardized Shooting Task (SST). Methods Fifteen male elite NCAA Division 1 collegiate basketball players (Age 20.2 ± 1.2 y, height 199.3 ± 7.1 cm, body mass 93.1 ± 8.6 kg) volunteered to participate in a randomised, counterbalanced crossover design undergoing three conditions (Control, Stroop, and Film). The task, performed on three consecutive days, was comprised of 60 free throw attempts followed by a 4-minute spot-to-spot shooting. Results Visual Analog Scales revealed significantly higher levels of mental fatigue following the Stroop (54.2 ± 24.5) condition compared to the Control (24.5 ± 16.2) and higher levels of mental effort in the Stroop (61.0 ± 31.3) and Film (49.9 ± 27.7) compared to the Control (14.0 ± 18.5). No significant differences were observed for Motivation among groups (p > 0.05). There was a significant decrease (p = 0.006) in number of shots made in 4-minutes (MAKE4MIN; control = 49.5 ± 10.2, Stroop = 44.0 ± 10.6, and Film = 45.1 ± 11.7) and shots missed in 4-minutes (MISS4MIN; control = 27.3 ± 7.0, Stroop = 30.9 ± 7.1, and Film = 30.9 ± 7.6). No significant differences were detected for any other performance variables. Conclusion These data demonstrate that mental fatigue negatively impacts basketball shooting performance in elite collegiate basketball players. We suggest that practitioners and coaches encourage athletes to abstain from cognitively demanding tasks prior to basketball competition.
... This reveals the ongoing conscious decision-making whilst interpreting the complexity of a map and recognizing the surrounding features in orienteering (Batista et al., 2020;Creagh & Reilly, 1997). However, it is unclear whether a dual-task effect would induce mental fatigue (MF) as trained endurance athletes seem to have a higher resistance to MF during exercises (Holgado et al., 2019;Martin et al., 2016). Furthermore, it would be interesting to investigate MF in orienteers since they are used to coping with a high volume of physical and cognitive load in orienteering. ...
... you will tend to slow down to make the navigation easier". It might be related to the training status of the investigated population because Martin et al. (2016) also found that professional endurance athletes are more resilient to MF, which supports the explanation of orienteering experts. Even though our expert panel reached a consensus that MF affects ratings of perceived exertion and subjective ratings of tiredness, they believed that physiological dominant variables are less affected by MF due to less involvement of cognitive resources. ...
Article
Orienteering is an outdoor activity wherein participants use a map and compass to locate control points and choose the quickest path to the next control point in a natural environment. Attentional focus, rapid decision-making, and high aerobic fitness may influence orienteering performance. Therefore, this research aimed to seek international orienteering expert consensus regarding the definition, development , causes, influences and methods to reduce mental fatigue (MF) in orienteering based on practical experience. Following ethical approval, a three-round Delphi survey was conducted online with twenty-four orienteering coaches and athletes (or former athletes) from 10 different countries with international orienteering competition experience. The threshold of consensus was ≥ 70% agreement among respondents. The experts agreed that MF exists in daily life and orienteering with a substantial negative effect on their conscious decision-making performance and psychological responses. The experts disagreed that the form of MF that athletes experienced in orienteering training are similar to the competition. However, there was no agreement that MF would impact endurance and high-speed running performance during orienteering. This research refines the definition of MF and summarises the distinctions in what causes MF in orienteering training and competition, implying that MF should be addressed separately.
... Nesse estudo, oStroop task (STROOP, 1935) foi utilizado como indutor de FM nos atletas treinados em uma versão adaptada apenas com estímulos incongruentes e a adição da função "troca" a fim de incrementar carga à tarefa cognitiva; além disso, a duração da tarefa com demanda cognitiva variou entre os voluntários para que tivéssemos uma aplicação individualizada da carga cognitiva. Confirmamos, para tanto, que essa configuração foi eficaz para induzir FM ao observarmos aumento nas respostas subjetivas relacionadas à EVA e comportamentais relacionadas ao TR ao estímulo "troca" no Stroop task, independente da condição experimental conduzida (FM ou PPS+FM); ainda, observamos que os atletas submetidos às condições FM e PPS conjugadas apresentaram prejuízo da acurácia ao final da aplicação do Stroop task, possivelmente em decorrência de desengajamento da tarefa em razão da redução da motivação(MILYAVSKAYA et al., 2021), que causa diminuição do esforço para realizar a tarefa na presença de recompensa pouco atrativa.Nesse sentido, o Stroop task é um método que tem sido proposto como indutor de FM em diversos estudos com atletas de diferentes modalidades esportivas(HABAY et al., 2021a) e tem sido eficaz em cumprir esse propósito em atletas de futebol(BADIN et al., 2016;COUTINHO et al., 2018; GANTOIS et al., 2020;SMITH et al., 2016a), basquetebol (FORTES et al., 2022aMOREIRA et al., 2018; SHAABANI et al., 2020), badminton(VAN CUTSEM et al., 2019), ciclistas(MARTIN et al., 2016;VRIJKOTTE et al., 2018), corrida de orientação (BATISTA et al., 2021) e sprint (FORTES et al., 2021a) etc. Apesar disso, sabe-se também que é possível induzir a FM com tarefas que não exigem inibição cognitiva (por exemplo, tarefas que exigem funções executivas como memória de trabalho) e que apenas 10 minutos de tarefa com alta demanda cognitiva já parece promover alguma magnitude de FM (DALLAWAY; LUCAS; RING, 2022).O presente estudo, ao propor a individualização da carga cognitiva, optou por adotar um limiar de 70 mm da EVA (0-100 mm) sem delimitar a duração da aplicação do Stroop task.Essa configuração é diferente do que estudos prévios propuseram, uma vez que o Stroop task tem sido aplicado nos estudos com duração variando entre 15 min e 90 min(BADIN et al., 2016;FILIPAS et al., 2021b; GANTOIS et al., 2020;MOREIRA et al., 2018; SHAABANI et al., 2020;TRECROCI et al., 2020;VAN CUTSEM et al., 2019;VOGT et al., 2018) e tem adotado estímulos congruentes e/ou incongruentes em sua configuração(CAO et al., 2022;HABAY et al., 2021a;VAN CUTSEM et al., 2017b). Adicionalmente, verificamos que em estudos prévios os atletas têm alcançado entre 44 mm e 70 mm na EVA quando submetidos ao Stroop task com as configurações mencionadas anteriormente(BADIN et al., 2016;COUTINHO et al., 2018;FILIPAS et al., 2021b; KOSACK et al., 2020;SMITH et al., 2019;TRECROCI et al., 2020;VAN CUTSEM et al., 2019). ...
Thesis
A fadiga mental (FM) e a privação/privação parcial do sono (PS/PPS), por si só, prejudicam o desempenho percepto-cognitivo e físico de atletas das mais variadas modalidades esportivas. Estudos que avaliem os efeitos da FM e PPS conjugados, que individualizem a carga cognitiva e a duração da PPS e que analisem o desempenho percepto-cognitivo e físico de atletas de voleibol de praia a partir de testes ecológicos são necessários. Esse estudo teve como objetivo analisar os efeitos da PPS e da FM, conjugadas e isoladas, no desempenho percepto-cognitivo e físico em atletas treinados de voleibol de praia. Participaram do estudo 14 atletas treinados de voleibol de praia (12 homens; 17,6±1,5 anos). O estudo foi do tipo experimental de medidas repetidas, cruzado e randomizado e adotou quatro condições experimentais: a) Controle (CT), b) FM, c) PPS e d) PPS+FM. A FM foi induzida pelo Stroop task incongruente e a atividade de sono dos voluntários foi monitorada por oito noites consecutivas. A carga cognitiva e a duração da PPS foram individualizadas. O cumprimento da PPS foi monitorado por formulário online, preenchido em intervalos de 15 minutos pelo tempo que perdurou a PPS. O desempenho físico foi medido por uma série de 50 saltos com contramovimento com intervalos de 5 segundos entre cada salto realizados em esforço máximo e o desempenho percepto-cognitivo foi avaliado via testes visuomotores com luzes de light emitting diode (LED) que simularam ações de defesa e bloqueio no voleibol de praia. Os desfechos primários do estudo foram analisados pela análise de variância ANOVA de um fator (condição [4]) e o post-hoc de bonferroni foi aplicado para localizar as eventuais diferenças estatisticamente significantes. Os dados contínuos estão apresentados como média e desvio padrão e os categóricos como valores absolutos e relativos. A condição PPS causou respostas mais lentas no tempo de reação (TR) “mais rápido” (p=0,02; d de Cohen=1,12; PPS: 1562.14±109.06 ms vs CT: 1440.71±101.41 ms) e “média” (p=0,02; d de Cohen=1,13; PPS: 1874.29±144.63 ms vs CT: 1727.14±113.30 ms) do teste visuomotor de defesa comparado ao CT e a condição PPS+FM apresentou prejuízo no TR “média” (p<0,01; d de Cohen=1,38; PPS+FM: 1906.43±133.45 ms vs CT: 1727.14±113.30 ms) do mesmo teste comparado ao CT. Para o teste visuomotor de bloqueio foi observado que a condição PPS+FM prejudicou o TR “média” (p=0,04; d de Cohen=1,06; PPS+FM: 722.14±100.09 ms vs CT: 631.42±82.17 ms) e “índice de desempenho” (p=0,02; d de Cohen=1,18; PPS+FM: 0,14±0,02 u.a vs CT: 0,16±0,02 u.a) comparado ao CT. O desempenho físico não foi prejudicado por nenhuma condição experimental. Conclui-se, portanto, que a PPS, isolada e conjugada à FM, prejudicam o desempenho percepto-cognitivo de atletas treinados de voleibol de praia, entretanto, os prejuízos da PPS conjugados à FM não se sobrepõem àqueles observados na PPS quando isolada. Adicionalmente, o desempenho físico não foi prejudicado nem pela FM nem pela PPS em atletas treinados de voleibol de praia.
... En ce qui concerne la tâche dépendante, si elle est cognitive, on peut utiliser le même type d'indices que pour la tâche d'épuisement. En revanche, si elle est physique d'autres types d'indices doivent être privilégiés, tels que le temps jusqu'à épuisement dans les épreuves sous-maximales (e.g., Marcora et al., 2009 ;Azevedo, Silva-Cavalcante, Gualano, Lima-Silva, & Bertuzzi, 2016 ;Otani, Kaya, Tamaki, & Watson, 2017), la distance parcourue ou le travail effectué dans les épreuves de temps limite (e.g., Martin et al., 2016 ;Brown & Bray, 2018), le temps mis pour réaliser une distance fixe dans les épreuves de contre la montre (e.g., MacMahon, Schücker, Hagemann, & Strauss, 2014 ;Pageaux, Lepers, Dietz, & Marcora, 2014 ;Penna et al., 2018 ;Pires et al., 2018), et le nombre de répétitions dans les épreuves de résistance musculaire (e.g., Dorris, Power, Kenefick, 2012 ;Head et al., 2016). D'autres indices comportementaux peuvent également être utilisés au cours de la tâche d'induction de la fatigue tels que le nombre de clignotements des yeux (e.g., Martins & Carvalho, 2015) qui lui aussi va augmenter avec le temps passé sur la tâche et reflète ainsi une moins bonne capacité à se contrôler (e.g., Abi-Jaoude, Segura, Cho, Crawley, & Sandor, 2018). ...
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Au quotidien nous réalisons des tâches cognitives qui requièrent de l’effort. Quand ces tâches sont particulièrement longues et/ou difficiles, elles induisent généralement de la fatigue cognitive. Cette dernière entraîne une baisse des performances qui s’accroît au cours du temps passé sur la tâche et s’observe dans des tâches subséquentes. Bien que ce champ de recherche soit très prolifique avec des centaines d’études publiées chaque année, l’existence de l’effet délétère de la fatigue cognitive sur la performance ainsi que les mécanismes explicatifs qui sous-tendent cet effet sont encore en débat. Cet article présente dans un premier temps la distinction entre le concept de fatigue cognitive et différents concepts proches tels que ceux de fatigue centrale, de fatigue physique ou encore d’ennui. Par la suite, les grandes théories explicatives de la fatigue cognitive sont abordées, ainsi que leurs divergences et convergences. Les méthodologies employées pour étudier la fatigue cognitive sont aussi explorées, ainsi que les variables confondantes qui doivent être contrôlées lors de la réalisation d’études sur ce sujet. Enfin, les perspectives pour les recherches futures sont explorées notamment les synergies entre les théories explicatives, les moyens de lutter contre la fatigue cognitive aiguë ou encore les pathologies qui peuvent accentuer la fatigue cognitive.
... It is important to note, however, that no evidence is available, according to the classification adopted in the present study, regarding well-trained and professional endurance athletes (De Pauw et al., 2013). Sleep deprivation appears to generate a mental fatigue state (Martin et al., 2018), but well-trained and professional endurance athletes seem to be more resistant to psychobiological alterations induced by mental fatigue (Lopes et al., 2020;Martin et al., 2016;Martin et al., 2018;Roberts et al., 2019a). Well-trained and professional endurance athletes could, therefore, be less affected by sleep deprivation. ...
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We conducted a systematic review and meta-analysis to investigate the effect of sleep deprivation on endurance performance, as well as possible effect-modifying factors. Searches were done in Pubmed, Web of Science, Embase, and Scopus on 12 July 2022. We additionally searched the bibliographic references and citations on Google Scholar of the papers whose full text was analyzed. Eligible studies were randomized and non-randomized controlled trials that compared sleep deprivation and habitual-sleep night effects on endurance performance in healthy humans. The studies’ quality was examined by the Cochrane Collaboration’s risk of bias tool. We calculated the pooled standardized mean differences (pooled SMD) and 95% confidence interval (95%CI) by a random-effects model. A mixed-effects model analyzed subgroups. Thirty-one studies were analyzed (n = 478), generating 38 effect sizes in full. The overall risk of bias was low in 8% of the studies, unclear in 74%, and high in 18%. Sleep deprivation in general had a moderate negative effect on endurance performance (polled SMD [95%CI] = -0.52 [-0.67; -0.38]). Training status, sleep deprivation magnitude, assessment time, exercise mode, and endpoint type did not influence the sleep deprivation effect, whereas longer exercises (>30 min) were more affected by sleep deprivation than shorter ones (P = 0.035). Therefore, the available evidence supports that sleep deprivation's deleterious effect on endurance performance is of moderate size and depends on exercise duration. This information can be useful to estimate the performance decrement of endurance exercise practitioners under sleep deprivation in training routines and competitions. PROSPERO registration number CRD42021229717.
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