Barbi Law, Phillip Post, and Penny McCullagh
Modeling and imagery are distinct but related psychological skills. However, despite sharing similar cognitive processes, they have traditionally been investigated separately. While modeling has shown similar psychological and physical performance benefits as imagery, it remains an understudied technique within applied sport psychology. Social cognitive and direct perception approaches remain often-used explanations for the effectiveness of modeling on skill acquisition; however, emergent neuropsychological explanations provide evidence to support these earlier theories and a link to the imagery literature.
With advances in technology and the development of applied frameworks, there is renewed interest in exploring modeling effects and how they parallel imagery use in applied settings. Specifically, modeling research has expanded beyond controlled laboratory settings to explore the effect of various theoretical models on motor performance and related cognitions within practice and competitive settings. The emergence of affordable video editing technology makes it easy for coaches and athletes to incorporate modeling into practice. The accessibility of video technology has sparked applied research on how various forms of modeling influence motor performance and cognitions, such as confidence and motivation. These applied investigations demonstrate the complementary nature of modeling and imagery in enhancing sport performance and skill acquisition, while highlighting the challenges in separating modeling and imagery effects. Both literatures offer possibilities for new methodological approaches and directions for studying these psychological skills in tandem as well as independently. Thus, there is much that imagery and modeling researchers can learn from each other in sport and other performance settings.
Jennifer L. Etnier
There is substantial interest in identifying the behavioral means by which to improve cognitive performance. Recent research and commercial ventures have focused on cognitive training interventions, but evidence suggests that the effects of these programs are small and task-specific. Researchers have also shown interest in exploring the potential benefits of physical activity for cognitive performance. Because the effects of physical activity have been found to be small to moderate and to be more global in nature, interest in physical activity has been growing over the past several decades. Evidence regarding the efficacy of physical activity is provided through cross-sectional studies, longitudinal prospective studies, and randomized controlled trials. When reviewed meta-analytically, small-to-moderate beneficial effects are reported for children, adults, older adults, and cognitively impaired older adults, and these effects are evident for a wide range of cognitive domains, including executive function, memory, and information processing. Researchers are currently focused on identifying the mechanisms of these effects. Most of this research has been conducted using animal models, but there is a growing body of literature with humans. From this evidence, there is support for the role of changes in cerebral structure, hippocampal perfusion, and growth factors in explaining the observed benefits. Thus far, however, the literature is quite sparse, and future research is needed to clarify our understanding of the mechanisms that provide the causal link between physical activity and cognitive performance. Research is also focused on understanding how to increase the benefits by potentially combining cognitive training with physical activity and by identifying the genetic moderators of the effects. These lines of work are designed to elucidate ways of increasing the magnitude of the benefits that can be obtained. At this point in time, the evidence with respect to the potential of physical activity for benefiting cognitive performance is quite promising, but it is critical that funding agencies commit their support to the continued exploration necessary to allow us to ultimately be able to prescribe physical activity to specific individuals with the express purpose of improving cognition.
Aidan Moran, Nick Sevdalis, and Lauren Wallace
At first glance, there are certain similarities between performance in surgery and that in competitive sports. Clearly, both require exceptional gross and fine motor ability and effective concentration skills, and both are routinely performed in dynamic environments, often under time constraints. On closer inspection, however, crucial differences emerge between these skilled domains. For example, surgery does not involve directly antagonistic opponents competing for victory. Nevertheless, analogies between surgery and sport have contributed to an upsurge of research interest in the psychological processes that underlie expertise in surgical performance. Of these processes, perhaps the most frequently investigated in recent years is that of motor imagery (MI) or the cognitive simulation skill that enables us to rehearse actions in our imagination without engaging in the physical movements involved. Research on motor imagery training (MIT; also called motor imagery practice, MIP) has important theoretical and practical implications. Specifically, at a theoretical level, hundreds of experimental studies in psychology have demonstrated the efficacy of MIT/MIP in improving skill learning and skilled performance in a variety of fields such as sport and music. The most widely accepted explanation of these effects comes from “simulation theory,” which postulates that executed and imagined actions share some common neural circuits and cognitive mechanisms. Put simply, imagining a skill activates some of the brain areas and neural circuits that are involved in its actual execution. Accordingly, systematic engagement in MI appears to “prime” the brain for optimal skilled performance. At the practical level, as surgical instruction has moved largely from an apprenticeship model (the so-called see one, do one, teach one approach) to one based on simulation technology and practice (e.g., the use of virtual reality equipment), there has been a corresponding growth of interest in the potential of cognitive training techniques (e.g., MIT/MIP) to improve and augment surgical skills and performance. Although these cognitive training techniques suffer both from certain conceptual confusion (e.g., with regard to the clarity of key terms) and inadequate empirical validation, they offer considerable promise in the quest for a cost-effective supplementary training tool in surgical education. Against this background, it is important for researchers and practitioners alike to explore the cognitive psychological factors (such as motor imagery) that underlie surgical skill learning and performance.