A Quantitative Investigation of Mental Fatigue Elicited during Motor Imagery Practice: Selective Effects on Maximal Force Performance and Imagery Ability

In the present study, we examined the development of mental fatigue during the kinesthetic motor imagery (MI) of isometric force contractions performed with the dominant upper limb. Participants (n = 24) underwent four blocks of 20 MI trials of isometric contractions at 20% of the maximal voluntary contraction threshold (20% MVCMI) and 20 MI trials of maximal isometric contractions (100% MVCMI). Mental fatigue was assessed after each block using a visual analogue scale (VAS). We assessed maximal isometric force before, during and after MI sessions. We also assessed MI ability from self-report ratings and skin conductance recordings. Results showed a logarithmic pattern of increase in mental fatigue over the course of MI, which was superior during 100% MVCMI. Unexpectedly, maximal force improved during 100% MVCMI between the 1st and 2nd evaluations but remained unchanged during 20% MVCMI. MI ease and vividness improved during 100% MVCMI, with a positive association between phasic skin conductance and VAS mental fatigue scores. Conversely, subjective measures revealed decreased MI ability during 20% MVCMI. Mental fatigue did not hamper the priming effects of MI on maximal force performance, nor MI’s ability for tasks involving high physical demands. By contrast, mental fatigue impaired MI vividness and elicited boredom effects in the case of motor tasks with low physical demands.

[1]  A. Guillot,et al.  Timing-specific patterns of cerebral activations during motor imagery: A case study of the expert brain signature , 2023, Brain and Cognition.

[2]  Victoria K. E. Bart,et al.  A theoretical perspective on action consequences in action imagery: internal prediction as an essential mechanism to detect errors , 2023, Psychological research.

[3]  G. Yue,et al.  Elderly may benefit more from motor imagery training in gaining muscle strength than young adults: A systematic review and meta-analysis , 2023, Frontiers in Psychology.

[4]  A. Guillot,et al.  Corticomotor Plasticity Underlying Priming Effects of Motor Imagery on Force Performance , 2022, Brain sciences.

[5]  L. Ardigò,et al.  Effects of Mental Fatigue on Reaction Time in Sportsmen , 2022, International journal of environmental research and public health.

[6]  A. Fins,et al.  Acute sleep deprivation disrupts emotion, cognition, inflammation, and cortisol in young healthy adults , 2022, Frontiers in Behavioral Neuroscience.

[7]  T. Higashi,et al.  Continuous Repetition Motor Imagery Training and Physical Practice Training Exert the Growth of Fatigue and Its Effect on Performance , 2022, Brain sciences.

[8]  Bülent Kilit,et al.  Psychophysiological Responses and Cognitive Performance: A Systematic Review of Mental Fatigue on Soccer Performance , 2022, International Journal of Sport Studies for Health.

[9]  A. Guillot,et al.  From simulation to motor execution: a review of the impact of dynamic motor imagery on performance , 2021, International Review of Sport and Exercise Psychology.

[10]  A. Guillot,et al.  Revisiting the acute effects of resistance exercise on motor imagery ability , 2021, Behavioural Brain Research.

[11]  R. Lepers,et al.  Mental fatigue induced by prolonged motor imagery increases perception of effort and the activity of motor areas , 2020, Neuropsychologia.

[12]  R. Meeusen,et al.  Endurance exercise‐induced and mental fatigue and the brain , 2020, Experimental physiology.

[13]  Wanxiu Xu,et al.  The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG , 2019, BMC Neuroscience.

[14]  Juvenal Rodríguez-Reséndiz,et al.  A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network , 2019, Sensors.

[15]  Alain Martin,et al.  Spinal plasticity with motor imagery practice , 2018, The Journal of physiology.

[16]  J. Q. Gan,et al.  Motor imagery and mental fatigue: inter-relationship and EEG based estimation , 2018, Journal of Computational Neuroscience.

[17]  S. Swinnen,et al.  Neural correlates of action: Comparing meta-analyses of imagery, observation, and execution , 2018, Neuroscience & Biobehavioral Reviews.

[18]  B. Rattray,et al.  Mental Fatigue Impairs Endurance Performance: A Physiological Explanation , 2018, Sports Medicine.

[19]  T. McMorris,et al.  Central fatigue theory and endurance exercise: Toward an interoceptive model , 2018, Neuroscience & Biobehavioral Reviews.

[20]  Alain Martin,et al.  Neural mechanisms of strength increase after one-week motor imagery training , 2018, European journal of sport science.

[21]  G. Yue,et al.  The level of effort, rather than muscle exercise intensity determines strength gain following a six‐week training , 2017, Life sciences.

[22]  R. Meeusen,et al.  The Effects of Mental Fatigue on Physical Performance: A Systematic Review , 2017, Sports Medicine.

[23]  Alain Martin,et al.  New evidence of corticospinal network modulation induced by motor imagery. , 2016, Journal of neurophysiology.

[24]  Paul J. Stapley,et al.  A prolonged motor imagery session alter imagined and actual movement durations: Potential implications for neurorehabilitation , 2016, Behavioural Brain Research SreeTestContent1.

[25]  A. Guillot,et al.  Short-term effects of integrated motor imagery practice on muscle activation and force performance , 2015, Neuroscience.

[26]  Stephane Champely,et al.  Basic Functions for Power Analysis , 2015 .

[27]  M. Bove,et al.  Motor cortical plasticity induced by motor learning through mental practice , 2015, Front. Behav. Neurosci..

[28]  L. Trejo,et al.  EEG-Based Estimation and Classification of Mental Fatigue , 2015 .

[29]  Hiroki Nakata,et al.  Activity of right premotor-parietal regions dependent upon imagined force level: an fMRI study , 2014, Front. Hum. Neurosci..

[30]  Charalambos Papaxanthis,et al.  Does a mental training session induce neuromuscular fatigue? , 2014, Medicine and science in sports and exercise.

[31]  Samuele M. Marcora,et al.  Does mental exertion alter maximal muscle activation? , 2014, Front. Hum. Neurosci..

[32]  B. Pageaux The Psychobiological Model of Endurance Performance: An Effort-Based Decision-Making Theory to Explain Self-Paced Endurance Performance , 2014, Sports Medicine.

[33]  A. Guillot,et al.  Impact of Neurologic Deficits on Motor Imagery: A Systematic Review of Clinical Evaluations , 2014, Neuropsychology Review.

[34]  Patrik Vuilleumier,et al.  The influence of individual motor imagery ability on cerebral recruitment during gait imagery , 2014, Human brain mapping.

[35]  G. Yue,et al.  Kinesthetic imagery training of forceful muscle contractions increases brain signal and muscle strength , 2013, Front. Hum. Neurosci..

[36]  C. Collet,et al.  Autonomic nervous system correlates in movement observation and motor imagery , 2013, Front. Hum. Neurosci..

[37]  P. Jackson,et al.  The neural network of motor imagery: An ALE meta-analysis , 2013, Neuroscience & Biobehavioral Reviews.

[38]  P. Sojka,et al.  Increased prefrontal activity and reduced motor cortex activity during imagined eccentric compared to concentric muscle actions , 2012, Front. Hum. Neurosci..

[39]  Jinsong Guo,et al.  [Mental fatigue assessment based on physiological signals]. , 2012, Nan fang yi ke da xue xue bao = Journal of Southern Medical University.

[40]  A. Guillot,et al.  Re-imagining motor imagery: building bridges between cognitive neuroscience and sport psychology. , 2012, British journal of psychology.

[41]  P. Holmes,et al.  The relationship between corticospinal excitability during motor imagery and motor imagery ability , 2012, Behavioural Brain Research.

[42]  Aymeric Guillot,et al.  The modulation of motor cortex excitability during motor imagery depends on imagery quality , 2012, The European journal of neuroscience.

[43]  D. Büsch,et al.  Strength Gains by Motor Imagery with Different Ratios of Physical to Mental Practice , 2011, Front. Psychology.

[44]  G. Nota Risk Management Trends , 2011 .

[45]  Shyh-Yueh Cheng,et al.  Mental Fatigue Measurement Using EEG , 2011 .

[46]  Charalambos Papaxanthis,et al.  Muscle Fatigue Affects Mental Simulation of Action , 2011, The Journal of Neuroscience.

[47]  C. Schuster,et al.  Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines , 2011, BMC medicine.

[48]  R. Stark,et al.  Activation of the Parieto-Premotor Network Is Associated with Vivid Motor Imagery—A Parametric fMRI Study , 2011, PloS one.

[49]  Aidan Moran,et al.  Measuring Motor Imagery Using Psychometric, Behavioral, and Psychophysiological Tools , 2011, Exercise and sport sciences reviews.

[50]  A. Guillot,et al.  Differences in motor imagery times during aroused and relaxed conditions , 2011 .

[51]  B. Clark,et al.  Kinesthetic motor imagery and spinal excitability: The effect of contraction intensity and spatial localization , 2008, Clinical Neurophysiology.

[52]  Julien Doyon,et al.  Functional neuroanatomical networks associated with expertise in motor imagery , 2008, NeuroImage.

[53]  Aymeric Guillot,et al.  Construction of the Motor Imagery Integrative Model in Sport: a review and theoretical investigation of motor imagery use , 2008 .

[54]  R. Wright,et al.  Mental fatigue influence on effort-related cardiovascular response: difficulty effects and extension across cognitive performance domains , 2007 .

[55]  A. Guillot,et al.  Effects of motor imagery training on service return accuracy in tennis: The role of imagery ability , 2007 .

[56]  A. Guillot,et al.  Contribution from neurophysiological and psychological methods to the study of motor imagery , 2005, Brain Research Reviews.

[57]  Gerard J. Fogarty,et al.  Construct Validity of the Profile of Mood States , 2003 .

[58]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[59]  C. Collet,et al.  Imagery Quality Estimated by Autonomic Response Is Correlated to Sporting Performance Enhancement , 1999, Physiology & Behavior.

[60]  F. C. Bakker,et al.  Changes in Muscular Activity while Imagining Weight Lifting Using Stimulus or Response Propositions , 1996 .

[61]  M. Jeannerod,et al.  Vegetative response during imagined movement is proportional to mental effort , 1991, Behavioural Brain Research.

[62]  W. Rejeski Perceived Exertion: An Active or Passive Process? , 1985 .

[63]  A. Guillot,et al.  French translation and validation of the Movement Imagery Questionnaire-third version (MIQ-3f) , 2020, Movement & Sport Sciences - Science & Motricité.

[64]  R. Lepers,et al.  The effects of mental fatigue on sport-related performance. , 2018, Progress in brain research.

[65]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[66]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .