Response Training Shortens Visuo-Motor Related Time in Athletes

The effect of prior knowledge of color on reaction time depends on visual modality

Prior knowledge of color, such as traffic rules (blue/green and red mean "go" and "stop" respectively), can influence reaction times (RTs). Specifically, in a Go/No-go task, where signals were presented by a light-emitting diode (LED) lighting device, RT has been reported to be longer when responding to a red signal and withholding the response to a blue signal (Red Go/Blue No-go task) than when responding to a blue signal and withholding the response to a red signal (Blue Go/Red No-go task). In recent years, a driving simulator has been shown to be effective in evaluation and training of driving skills of dementia and stroke patients. However, it is unknown whether the change in RT observed with the LED lighting device can be replicated with a monitor presenting signals that are different from the real traffic lights in terms of depth and texture. The purpose of this study was to elucidate whether a difference in visual modality (LED and monitor) influences the effect of prior knowledge of color on RTs. Fifteen participants performed a simple reaction task (Blue and Red signals), a Blue Go/Red No-go task, and a Red Go/Blue No-go task. Signals were presented from an LED lighting device (Light condition) and a liquid crystal display (LCD) monitor (Monitor condition). The results showed that there was no significant difference in simple RT by signal color in both conditions. In the Go/No-go task, there was a significant interaction between the type of signal presentation device and the color of signal. Although the RT was significantly longer in the Red Go/Blue No-go than Blue Go/Red No-go task in the Light condition, there was no significant difference in RT between the Blue Go/Red No-go and Red Go/Blue No-go tasks in the Monitor condition. It is interpreted that blue and red signals presented from the LCD monitor were insufficient to evoke a perception of traffic lights as compared to the LED. This study suggests that a difference in the presentation modality (LED and monitor) of visual information can influence the level of object perception and consequently the effect of prior knowledge on behavioral responses.

Neurocognitive function and musculoskeletal injury risk in sports: A systematic review

OBJECTIVES

A variety of modifiable risk factors has been suggested to predict musculoskeletal injury in sports. Screening paradigms and exercise-based prevention programs, so far, frequently focused on physical parameters such as strength, balance or flexibility. However, less is known with regard to the impact of brain function. We investigated the relation between cognition and the occurrence of injury in athletes.

DESIGN

Systematic review.

METHODS

Database searches using Pubmed, Web of Science and Google Scholar returned nine cohort and case-control studies, which almost exclusively examined college athletes engaging in open skill sports. Methodological quality, rated by means of a modified Downs and Black checklist, was moderate (12/17 points).

RESULTS

Seven out of the nine included studies suggested that lower-order cognitive function (i.e. visuomotor reaction time) is systematically associated with the occurrence of injury. No paper examined the impact of executive function.

CONCLUSIONS

Despite initial evidence pointing towards a potentially injury-predictive role of lower-order cognitive function, several issues including the use of more variable populations and outcomes remain to be addressed before definitive recommendations for clinicians can be made.

Altered somatosensory evoked potentials associated with improved reaction time in a simple sensorimotor response task following repetitive practice

INTRODUCTION

Repetitive practice of sensorimotor tasks is widely used for neurorehabilitation; however, it is unknown how practice alters sensory processing (e.g., recognition, discrimination, and attentional allocation) and associated cognitive processing, such as decision-making. The purpose of this study was to investigate whether long-latency somatosensory evoked potentials (SEPs) reflecting sensory processing, attention, and decision-making are altered by sensorimotor learning.

METHODS

Fifteen participants performed a simple sensorimotor response task (thumb opposition in response to surface electrical stimulation), with experimental recording sessions before and after three days of practice. We then compared multiple SEP waveforms and reaction times (RTs) between pre- and postpractice trials.

RESULTS

The RT was reduced after practice of three days, and we found a significant positive correlation between ΔRT and ΔN140_lat at F3, Cz, and C3', ΔRT and ΔN250_lat at F3, and there was a significant negative correlation between ΔRT and ΔP300_amp at C3'.

CONCLUSION

The present study suggests that motor learning improves somatosensory processing and attentional allocation via neuroplasticity and that these alterations are reflected by specific SEP changes.

Repeated practice of a Go/NoGo visuomotor task induces neuroplastic change in the human posterior parietal cortex: an MEG study

The posterior parietal cortex (PPC) is strongly related to task performance by evaluating sensory cues and visually guided movements. Sensorimotor processing is improved by task repetition as indicated by reduced response time. We investigated practice-induced changes in PPC visuomotor processing during a Go/NoGo task in humans using 306-channel magnetoencephalography. Eleven healthy adult males were instructed to extend the right index finger when presented with the Go stimulus (a red circle), but not to react to the NoGo stimulus (a green circle or a red square). Magnetic fields over the visual, posterior parietal, and sensorimotor cortices were measured before and after 3 days of task practice. The first peak of the visual-evoked field (VEF) occurred at approximately 80 ms after presentation of either the Go or NoGo stimulus, while a PPC response, with latency to a peak of 175.8 ± 26.7 ms, occurred only after the Go stimulus. No significant change in the first peak of VEF was measured after 3 days of task practice, but there was a significant reduction in the latency to peak PPC activity (160.1 ± 27.6 ms) and in the time from peak PPC activity to electromyogram onset. In all participants, practice resulted in a significant reduction in reaction time. These results demonstrate that practicing a sensorimotor task induces neuroplastic changes in PPC that accelerate sensorimotor processing and reduce motor response times.