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Holmes and Collins’ (2001) PETTLEP model of imagery provides a framework for the effective execution of imagery interventions. The model includes seven key components to consider when developing an intervention, denoted by the acronym PETTLEP (Physical, Environment, Task, Timing, Learning, Emotion, Perspective). Over recent years, the model has gai...
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... with a remarkable array of studies tes- tifying to its efficacy in enhancing performance of a wide variety of motor skills (for a review, see Weinberg, 2008). Virtually all applied sport psychology textbooks and self-help books include information on imagery, and there are at least two textbooks focusing solely on imagery (Morris, Spittle, & Watt, 2005; Sheikh & Korn, 1994). Despite this apparent consensus that imagery is an important psychological skill, there has been little agreement in the sport psychology literature as to how imagery should be used. Additionally, research studies on this topic have spanned many areas, including sport psychology, mainstream psychology, cognitive psychology and neuro- science journals. As a result of this, it has often been challenging for applied sport psychology practitioners, coaches and athletes to make use of this information in their practical work. Realizing the need for a model based on solid theoretical and empirical foundations to help guide practitioners’ use of imagery, Holmes and Collins (2001, 2002) devised PETTLEP. This is an acronym representing a seven point checklist of guidelines to be followed when devising an imagery intervention. These are Physical, Environment, Task, Timing, Learning, Emotion, and Perspective. The PETTLEP model is based on findings from sport psychology, cognitive psychology and neuro- science, and aims to provide practitioners with a set of practical guidelines to aid their imagery use. Perhaps the most fundamental difference between the PETTLEP approach and more traditional imagery methods is that imagery has often been thought of as something completely separate from physical practice. However, PETTLEP conceptualizes physical practice and imagery as being on a continuum, and posits that the closer towards the physical end of the continuum that imagery interventions lie, the more effective they are likely to be. For example, an intervention that involved an ice hockey player standing and assuming the correct position will be a closer representation of physical practice than imaging whilst lying down. Recently PETTLEP has been a hot topic in the applied sport psychology literature, with quite a few studies testing both the model as a whole, and its various tenets (e.g., Wakefield & Smith, 2009; Wright & Smith, 2007). As readers will see from our later sections, in its application the PETTLEP approach is radically different from traditional imagery interventions. These more traditional methods often include suggestions of adopting a comfortable position (Cabral & Crisfield, 1996) and minimizing distractions by being in a quiet room (Williams & Harris, 2001) before attempting to visualize the skill, namely an approach that is commonly used in the applied setting. These approaches may be useful as a transitional stage before progressing to PETTLEP imagery, but this is an area that warrants future research. Therefore, researchers have been particularly interested in comparing the efficacy of PETTLEP-based imagery with that of more traditional approaches. This research has mostly strongly supported the efficacy of PETTLEP imagery, and found it to be more effective than traditional, visualization-based methods (Smith, Wright, Allsopp, & Westhead, 2007). Similar findings have emerged with the long jump (Potter, Devonport, & Lane, 2005), golf (Smith, Wright, & Cantwell, 2008) and strength tasks (Wakefield & Smith, 2011; Wright & Smith, 2009). However, the original PETTLEP papers, and the research testing the model, are quite technical in nature and have been published in journals that are not very accessible to coaches and athletes. Therefore, despite the strong research support, the model is not widely known and used outside academia in our experience. For example, we are often asked at conferences where we present our PETTLEP research, for practical tips regarding its im- plementation. This, therefore, was the aim of the present article, namely to provide specific, research-based guidelines on how to apply the PETTLEP model for best effect, in a way that is accessible to those who need to apply the information (i.e. sport psychology consultants, coaches, and athletes). Each letter of the PETTLEP acronym represents an important issue to consider when implementing imagery interventions. The model was origi- nally designed to be used as a minimum checklist when designing imagery interventions (Holmes & Collins, 2001) and researchers have suggested that omitting certain elements may compromise performance facilitation (Ramsey, Cumming, Edwards, Williams, & Brunning, 2010). However, introducing all seven components at one time my be impractical and create overload for the athlete. Therefore, we suggest that practitioners focus on those elements pertinent to the athlete and incorporate as many of these as possible. The seven components will now be discussed in more detail, but for a summary of what each component relates to, please see Figure 1. The component “Physical” refers to the importance of making the imagery experience as physical as possible. Indeed, as noted above, Holmes and Collins (2001) conceptualize imagery as a quintessentially physical experience rather than a purely mental one. Put simply, sports skills are physical in nature and therefore imagery should be too. This physical approach to imagery interventions could include not only the obvious step of imagining the kinesthetic sensations felt when performing the skill, but also wearing the same clothes as when performing and holding any associated implements. For example, when attempting to improve the performance of a bicep curl task, Wright and Smith (2009) encouraged athletes to sit at the weight ma- chine and grasp the handles when completing their imagery. In our view, this is arguably the most crucial element of the PETTLEP model, and its importance is strongly supported by research (e.g., Smith, Holmes, Whitemore, Collins, & Devonport, 2001). Given the centrality of physical sensations to the sporting experience, such as the burning sensation of lactic acid in the muscle and the lungs gasping for air, it is clear that visualization-based imagery approaches that do not emphasize such feelings are not likely to provide a realistic imagery experience. It is well worth the practitioner spending time with individual athletes finding out which kinesthetic sensations are most relevant to them and incorporating these as much as possible. For example, if an athlete feels his or her heart pounding at a particular time point when completing a skill, this should be incorporated into the imagery (cf. Lang’s bio-informational theory of imagery; Lang, 1979, 1985). In our experience, practitioners would be making a grave error if they assume that everyone performing the same task experiences identical kinesthesis. We have been amazed in our research how much individuals vary in their perceptions of the physical responses, even with relatively small movements. The bio-informational theory (Lang, 1979; Lang, Kozak, Miller, & McLean, 1980) suggests that imagery ability is not a static trait, but rather it can be improved upon through a process known as response training. In this, athletes are trained to focus upon their physiological and behavioural responses to the scenario to be imaged and to incorporate these into the imagery. Therefore, where an athlete does not have very strong kinaesthetic perceptions, we would recommend the careful use of response training to enhance the vividness of his or her kinaesthetic imagery. The component “Environment” relates to the place where the imagery is performed. According to PETTLEP this should be as similar as possible to the performance environment; it would be ideal if the imagery could be performed in the competitive arena but of course during training this will not usually be practical. If it is not possible to perform imagery in an environment that is at least similar to the competitive one then video, audio and photographs could be used to assist the imagery experience. We have achieved great success in our PETTLEP interventions from having participants perform their imagery in the actual performance environment, such as hockey players imaging whilst stood on the hockey pitch, and gymnasts imaging whilst stood on the beam (Smith et al., 2007). Where this is not possible, improvisation can be extremely useful. For example, Smith, Wright and Cantwell (2008) had golfers image their bunker shots whilst stood in a tray of sand. Where such alternatives are not practical, video can be a useful alternative, such as in a recent study that found video-assisted imagery effective in enhancing strength performance (Wakefield & Smith, 2011). Here, participants completed their imagery of a bicep curl whilst watching a video of themselves executing the task. This served to control the timing of the movement and to ensure that the intervention was individualised and evocative to the participant. Researchers have also been advocating observation as a stand-alone strategy (Holmes & Calmels, 2008). Now that video footage is easily shot, stored and transported (e.g., portable DVD players, iPods and cellular phones) the use of such is easier than ever and future technological developments may make it easier still. The component “Task” emphasizes that the content of the imagery should be appropriate to the skill level and individual preferences of the athlete, particularly with regard to attentional focus. Konttinen, Lyytinen, and Konttinen (1995) found that elite and non-elite athletes focused their attention on different aspects of performance, strongly suggesting that the content of the imagery should be specific to the level of the performer. For example, elite tennis players may focus on the hip rotation during a task, whereas novice players may focus more on the more basic facets of the skill, such as looking at the racquet head. We have found it ...
Citations
... Thus, the training frequency was moderate (3-4 times per week, with a maximum of one hour per session), except for the final week, where the intensity increased to include repeated daily mental rehearsals. This planned frequency aligns with research showing that athletes practicing imagery thrice weekly exhibit enhanced strength and performance compared to those training less frequently (Wakefield & Smith, 2012). Moreover, the overall training duration is consistent with research advocating for longer training periods to achieve optimal results (Cherappurath et al., 2020;Wright & Smith, 2007). ...
... When used together, stimulus and response propositions can also enhance the vividness and ease of imaging [10]. The PETTLEP model is consisted of seven parts: physical, environment, task, timing, learning, emotion, and perspective (for a detailed description of each element see) [11]. ...
... Wakefield a Smith [11] have found that the more training sessions per week are (three times a week) the greater the progression of PETTLET MI is. Several weeks of education and generic training of PTTLEP MI should be done in order to studying MI consolidation by future researchers. ...
Background & Study Aim:The evidence obtained from several research studies showed that night sleep increasing motor performance. However, there is a limited information about night sleep’s impact on mental imagery (MI). Therefore, the purpose of this study was knowledge about the effects of PETTLEP (based physical, environmental, task, timing, learning, emotion and perspective) imagery training pre-sleep on dart throwing motor performance skill.
Material & Methods: Subjects were thirty male ages 16 to 18 years old and randomly placed into three groups as consolidated PETTLEP MI group (n = 10), preliminary MI group (n = 10) and physical exercise only group (n = 10). A pre-test and post-test design applied and Movement Imagery Questionnaire-Revised (MIQ-R) was used to measure participants’ imagery ability. The alpha level was set at p<0.05. Paired t-test was used to follow up the significant interaction.
Results: The results showed that there were significant differences between mean ratings scores of pre-test post-test in PETTLEP MI consolidated group (t12 = 4.588, p<0.05 ) and there were no significant difference between mean ratings scores of pre-test post-test in Preparatory PETTLEP MI (t12 = 0.671, p<0.05) and physical practice groups (t12 = −0.529, p<0.05). Results of the one-way analyses of variance indicated that there were significant differences between the post-test scores of three groups (F = 4.711, p<0.05).
Conclusions: Such fi ndings highlight the reliability of MI in learning process, that is assumed consolidated when related to sleep. Further research is thus needed to confirm the present results by recording polysomnographic data. Whether the sleep related neural mechanisms involved in the consolidation process
... The method of delivery for mental imagery can vary. Research on mental imagery in sport suggests that imagery scripts are an effective means of preparing an athlete for visualization of a chosen motor task or situation [51]. An imagery script should be personally designed by the athlete, with help from a MPC if possible, to be most effective. ...
... The imagery script provided here was designed by the lead author who is a Certified Mental Performance Coach (CMPC), as designated through the Association for Applied Sport Psychology (AASP). Using the PETTLEP model of imagery [51,52] and consultation from NBA Coach Hal Wissel's [53] free throw imagery script, the current script (see Appendix) was created with and for a division I college athlete to induce a realistic free throw practice environment and realistic shooting movements and handling of a basketball during a free throw task, involving all of the senses. ...
Previous literature has established theories that suggest that mental imagery of a motor task is beneficial to performance. Other variables held constant, individuals tend to perform better after using mental imagery, especially that which follows the PETTLEP model, mimicking real experience with the involvement of all sensory modalities and emotions. Psychological data suggest imagery’s effect on performance may be mediated by internal emotions and cognitions, such as confidence, arousal, and concentration. Physiological data suggests imagery primes and activates muscles similar to actual execution of a motor event. Neurological data suggest imagery activates similar regions in the brain as executing an actual motor event, and like the muscles, primes the brain by strengthening neural pathways for efficient movement. With this theoretical backing, the present report explored the effectiveness of mental imagery from an applied sport psychology, psychophysiological and cognitive motor neuroscience lens. The following scientific findings and suggestions inform the aspiring athlete or established elite athlete on how to structure his or her mental imagery program, with actionable protocols to facilitate psychomotor refinement and peak performance. An example imagery script is included.
... With consideration of the environment, performing MP and RTP in the natural setting in which the motor task is typically performed was used. It is also understood that MP is more effective if the content of the mental imagery is appropriate to the skill level of the participant (Wakefield & Smith, 2012). Therefore, the MP and motor task performed for each participant was assigned based on their FMA-UE Score (UE skill level). ...
... MI's features enable it to be of value in accelerating procedural learning and recovering motor skills after injuries (Plakoutsis et al., 2022;Ruffino et al., 2017). Thus, MI has been studied extensively in sport psychology since it represents a potentially effective method to promote specific performances in athletes (Fourkas et al., 2008;Louis et al., 2012;Wakefield & Smith, 2012). Among many swimmers, basketball and football athletes often use motor imagery training to perfect their gesture technique (Cuomo et al., 2022). ...
Evidence has shown that imagining a complex action, like backward-walking, helps improve the execution of the gesture. Despite this, studies in sport psychology have provided heterogeneous results on the use of motor imagery (MI) to improve performance. We aimed to fill this gap by analyzing how sport experience influences backward-walking MI processes in a sample of young women (n = 41, mean age = 21 ± 2.2) divided into Active and Sedentary. All participants were allocated to two randomized mental chronometric tasks, in which they had first to imagine and then execute forward-walking (FW) and backward-walking (BW). The Isochrony Efficiency measured the difference between imagination and execution times in both conditions (FW and BW). Moreover, we analyzed the ability to vividly imagine FW and BW within various perspectives in both groups through the Vividness of Movement Imagery Questionnaire (VMIQ-2). Findings showed that active individuals performed better in the BW imagery task when compared to sedentary ones (F 1,39 = 4.98; p = 0.03*), while there were no differences between groups in the FW imagery task (F 1,39 = .10; p = 0.75). Further, VMIQ-2 had evidenced that the ability to imagine backward is influenced by perspective used. Specifically, the use of internal visual imagery (IVI) led to worse Isochrony Efficiency (t 32,25 = 2.16; p = 0.04*), while the use of kinesthetic imagery (KIN) led to better Isochrony Efficiency (t 32,25 = − 2.34; p = 0.03*). These results suggest a close relation between motor experience and complex motor imagery processes and open new insights for studying these mental processes.
... Essentially, the PETTLEP model encourages the athlete to create images that mimic what it is like to actually engage in their sport. There is plenty of support for the effectiveness of the PETTLEP model in traditional sports (see Wakefield & Smith, 2012, for more detailed information about its effectiveness). ...
The PETTLEP model of imagery developed by Holmes, P. S., & Collins, D. J. (2001. The PETTLEP approach to motor imagery: A functional equivalence model for sport psychologists. Journal of Applied Sport Psychology, 13 , 60–83) is used to guide mental skills practitioners and researchers when designing mental imagery interventions for performance enhancement. The PETTLEP acronym represents Physical, Task, Timing, Learning, Emotion, and Perspective aspects of mental images. Using the PETTLEP model to guide imagery optimizes the effectiveness of the imagery.
... Imagery is a widely accepted strategy for improving performance, and is often used in the field of performance psychology Morris et al., 2005;Wakefield & Smith, 2012). Imagery can facilitate the acquisition and maintenance of skills, build self-confidence, help to better control one's emotions, alleviate pain, regulate arousal, improve training strategies and also increase selfawareness (Callery & Morris, 1993). ...
... It is up to the athlete themselves which of the options suits them more and which view they prefer. This model is often used to create and write a script that the athlete uses for practicing imagery and for how the imagery is done for maximum efficiency, the script should include all seven parts of the model (Holmes & Collins, 2001;Wakefield & Smith, 2012). ...
Objectives
The aim of this research was to expand knowledge on the use of PETTLEP based guided imagery scripts, as a mental practice, for increasing performance and reduction of self-criticism in athletes. Imagery can serve not only as an accessory, but also as a replacement for part of the training process, as it has the potential to increase the athlete’s performance.
Methods
The research group consisted of 78 recreational CrossFit athletes who regularly work out and participate in group trainings. The participants were divided into three groups. The physical practice group trained two series of pushups, the imagery group, in accordance with the prescribed script based on the PETTLEP model, visualized these pushups and the role of the control group was to stretch before training. The intervention lasted 4 weeks, with a frequency of three times per week.
Results
The results showed that imagery is an effective tool for increasing the performance of athletes and in combination of with regular exercise can result in additional performance gains. There have been significant shifts in our study, in some subscales, specifically within groups. In the imagery group, it was namely the subscale of inadequate and reassuring self. In the physical practice group, the shift also occurred in the inadequate self-subscale and the hated self-subscale. However, after comparing these results with the other two groups, there were no significant differences.
Conclusions
The results confirm the potential of using imagery for increasing performance and reducing self-criticism.
... Given the support that has been found for the Motor Cognitive model here and in other recent work [11,12], it is worth exploring its potential applications in training and rehabilitation. Current techniques rely heavily on the notion of functional equivalence [107,108]. But if the Motor Cognitive model is a nearer approximation of the organisation of motor imagery, this could have important implications for the treatment of many motor and cognitive disorders, as well as the typical or atypical development of motor skills. ...
The Motor-Cognitive model suggests a functional dissociation between motor imagery and overt action, in contrast to the Functional Equivalence view of common processes between the two behaviours. According to the Motor-Cognitive model, motor imagery differs from overt action primarily through the use of executive resources to monitor and elaborate a motor image during execution, which can result in a lack of correspondence between motor imagery and its overt action counterpart. The present study examined the importance of executive resources in motor imagery by using TMS to impair the function of the dorsolateral prefrontal cortex while measuring the time to complete imagined versus overt actions. In two experiments, TMS over the dorsolateral prefrontal cortex slowed motor imagery but did not affect overt actions. TMS over the same region also interfered with performance of a mental calculation task, though it did not reliably affect less demanding cognitive tasks also thought to rely on executive functions. Taken together, these results were consistent with the Motor-Cognitive model but not with the idea of functional equivalence. The implications of these results for the theoretical understanding of motor imagery, and potential applications of the Motor-Cognitive model to the use of motor imagery in training and rehabilitation, are discussed.
Data availability statement
All data, code and material used in this study are available on the website of the Open Science Framework (OSF) at the following link:https://osf.io/s82v4/
... For example, in basketball free-throw imagery training, players who are still developing their shooting skill could be asked to imagine thoroughly the court, hoop, teammates, opponents, the referees, the audience, the texture and touch of the ball, temperature, body experience, and emotions. However, Wakefield and Smith (2012) indicated it would be impractical and would overload such participants to imagine all 7 elements in PETTLEP training. Especially, to receive complicated messages at one time for unskilled athletes may defocus the imagery training. ...
... In order to strengthen effectiveness of imagery interventions for unskilled athletes, researchers have proposed Progressive Imagery (PI) that is assumed to be more effective than the RI model ( Morris et al., 2005 ;Nordin & Cumming, 2005 ;Wakefield & Smith, 2012 ;Fazel et al., 2018 ). Wakefield and Smith (2012) suggested that providing participants the imagery elements, such as PETTLEP elements, progressively is a way to avoid overloading experience during imagery interventions. ...
... In order to strengthen effectiveness of imagery interventions for unskilled athletes, researchers have proposed Progressive Imagery (PI) that is assumed to be more effective than the RI model ( Morris et al., 2005 ;Nordin & Cumming, 2005 ;Wakefield & Smith, 2012 ;Fazel et al., 2018 ). Wakefield and Smith (2012) suggested that providing participants the imagery elements, such as PETTLEP elements, progressively is a way to avoid overloading experience during imagery interventions. While using PI, the first phase would focus on imagining simple sport skills; along with improvement due to the first phase, related elements would be added into imagery simultaneously to create more vivid and complex images ( Fazel et al., 2018 ). ...
Holmes and Collins (2001) proposed functional equivalence from a neuroscience perspective. They also argued that imagery execution and movement will bring out the same neuro mechanism that leads to benefits for sport performance. In this study, we aimed to apply different delivery intervention methods to investigate the effects of regular (RI), progressive (PI), and retrogressive (RETI) PETTLEP imagery patterns to jump-shot performance, state anxiety, and self-confidence of basketball players. Participants were recruited from 4 high-school basketball teams of Division II league. They were randomly assigned to a RI group, PI group, RETI group or a control group. Three intervention groups were implemented by following the 7 elements of the PETTLEP model. The intervention was delivered three times a week for 4-weeks, a total 12 imagery training sessions. The results showed: (1) PI and RETI significantly improved performance of running jump shooting, (2) RI and PI significantly reduced players’ state anxiety, (3) RI and PI significantly improved players’ self-confidence. To sum up, different imagery training patterns are beneficial to efficient learning for young athletes under certain circumstances that will improve sport performance, self-confidence, and reduce state anxiety levels. However, we recommend further exploration of the efficiency of different imagery intervention patterns among diverse age levels and sports. Lastly, in order to strengthen the effectiveness of imagery training, practitioners are suggested to provide different imagery patterns to match different skill development stages of athletes.
... Afterwards, it followed a six-week IM training period based on the Revised applied model of deliberate imagery use described by Cumming and Williams (2013). During this six-week IM training, there was a progressive evolution in the proposed tasks to enhance IM learning process (Wakefield & Smith, 2012). Each session lasted approximately 30 minutes and occurred at the Boccia training site. ...
El objetivo de este estudio fue comparar y evaluar los efectos de un programa de visualização mental (IM) en atletas de Boccia federados y no federados. Veintiún atletas de Boccia participaron en este estudio. Al comienzo del estudio, y después de un período de entrenamiento de IM de 8 semanas, se evaluó la capacidad de IM de los atletas (MIQ - 3) y su desempeño en las tareas de Boccia (distancia al objetivo y distancia a la pelota de color). El análisis de datos se llevó a cabo mediante inferencias basadas en magnitudes no clínicas. Los resultados sugieren que, desde antes hasta después de la prueba, los atletas federados y no federados tuvieron una puntuación de IM más alta y exhibieron un rendimiento mejorado. Los niveles de rendimiento fueron influenciados por el nivel de experiencia de los participantes, y los atletas no federados revelaron una mayor magnitud de mejora que los atletas federados. Se observó una correlación no significativa entre MI y rendimiento. Aunque la inconsistencia de la relación entre IM y rendimiento, los resultados sugieren que el entrenamiento de IM mejora el desarrollo de la capacidad de IM y también las acciones motoras en los atletas de Boccia.