Neuromuscular control of the ankle during pre-landing in athletes with chronic ankle instability: Insights from statistical parametric mapping and muscle co-contraction analysis

Tretriluxana, Jarugool; Nanbancha, Ampika; Sinsurin, Komsak; Limroongreungrat, Weerawat; Wang, Hsing‐Kuo

doi:10.1016/j.ptsp.2020.11.023

Cited by 14 publications

(13 citation statements)

References 42 publications

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“…The PL contracts to ensure ankle stability during the pre-landing phase [ 16 , 43 ]. Although our testing protocol could not provide sufficient instability elements to the ankle joint and only a weak EMG–Rt.PL can be seen in Fig 4D , the results were adequate to support the evidence for a PL-dominated mediolateral ankle strategy [ 2 ].…”

Section: Discussionmentioning

confidence: 99%

“…Although our testing protocol could not provide sufficient instability elements to the ankle joint and only a weak EMG–Rt.PL can be seen in Fig 4D , the results were adequate to support the evidence for a PL-dominated mediolateral ankle strategy [ 2 ]. Patients with chronic ankle instability (CAI) reportedly tend to have reduced PL contraction before foot-ground contact and show differences in neuromuscular control compared to those without CAI [ 16 , 44 , 45 ]. Therefore, we presumed that the ankle muscles play a role in ankle stabilization only during the initial foot contact, even without any significant difference among the three ankle muscle activities.…”

Section: Discussionmentioning

confidence: 99%

“…Owing to the size of the foot insole sensors, the average foot size of the participants was between 260 and 270 cm. Anyone who had balance issues, pes planus, chronic ankle instability [ 16 ], or previous major lower extremity problems were excluded. The initial sample size was ten; thus, we continued to recruit participants until the number reached a meaningful evidence threshold, using the Bayesian sequential sampling method [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

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Ankle strategies for step-aside movement during quiet standing

Xie

Cho

2023

PLoS ONE

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The mediolateral ankle strategy plays a crucial role in providing ankle stability in ground obstacle-avoidance behavior. This is achieved by changing basic walking patterns according to the characteristics of the obstacle. In daily life, it is more common to use step-aside movement (i.e., dodging step) for collision avoidance rather than side-stepping (i.e., widening standing base) when encountering an approaching pedestrian or bicycle. While studies have been conducted on the mediolateral ankle strategy contribution in obstacle avoidance using side-stepping, knowledge of step-aside movement is still inadequate. Therefore, we conducted an electromyography (EMG) analysis on the tibialis anterior (TA), peroneus longus (PL), and soleus (SOL) muscles, as well as measured center of pressure (CoP) displacement, and vertical ground reaction force (vGRF) of the standing leg, in order to understand the role of ankle muscles in step-aside movement during quiet standing. Fifteen healthy young men repeated twelve step-aside movements in both left and right directions. A Bayesian one-sample t-test was used to determine the sufficient step and participant counts. Multiple linear regression analysis was used to investigate the correlation between the muscle activity and CoP displacement or vGRF. The regression coefficients (β) of the left push phase and the right loading phase were tested against zero using a Bayesian one-sample t-test to identify the correlation between independent and dependent variables. We used the one-dimensional statistical parametric mapping (SPM1d) method to analyze the differences between and within the groups of EMG data based on the continuous time series. The results showed that the PL displayed a substantial contribution to the mediolateral ankle strategy during the push phase of step-aside movement, and also contributed to maintaining ankle stability during the loading phase. This suggested that screening for PL weakness and providing appropriate interventions and/or training approaches is especially critical for populations with walking stability problems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Ankle strategies for step-aside movement during quiet standing

Xie

Cho

2023

PLoS ONE

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“…sEMG and GRF data, during the 50 ms before and 100 ms following the initial ground contact, were extracted. A literature search indicated that the bandpass filtering generally involved a band-pass filter between 20 and 500 Hz [ 22 ] To remove artifacts during landing, the raw sEMG signals were filtered through a band-pass filter between 30 and 500 Hz [ 23 , 24 ]. The sEMG data were then full-wave rectified and averaged within a participant and task.…”

Section: Methodsmentioning

confidence: 99%

Effect of Increased Flexor Hallucis Longus Muscle Activity on Ground Reaction Force during Landing

Oku

Kimura

Ito

et al. 2021

Life

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Repeated high-impact ground forces can lead to injury and decreased performance. While increasing flexor hallucis longus (FHL) muscle activity is known to increase stiffness and elasticity, it is unknown if this also decreases ground reaction forces by shock absorption during landing. This study aimed to determine whether increasing FHL muscle activity affects ground reaction force during landing in healthy subjects. Eight subjects performed single-leg steps onto a force platform for five trials, with and without flexion of the metatarsophalangeal (MTP) joint at the moment of landing. Integrated surface electromyography (sEMG) of the FHL and medial gastrocnemius (MG) and ground reaction forces (GRFs) were measured. sEMG and GRF during the 50 ms before and 100 ms following initial ground contact were analyzed and compared. Flexion of the MTP joint condition significantly decreased the vertical and mediolateral force peaks of GRF, and FHL muscle activity increased. Flexion of the MTP joint at the moment of landing reduces GRF in healthy subjects through force dissipation in the foot, by increased FHL muscle activity. The results suggest that this may contribute to injury prevention by reducing the impact force through flexing the MTP joint at the moment of landing.

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“…Importantly, even though many studies have commonly used the ratios between agonist/antagonist muscle activity to describe the levels of co‐activation during dynamic tasks (e.g. gait, trunk and hip movements) (Aslan, Batur, & Meray, 2020; Rojas‐Quinchavil et al, 2021; Tretriluxana, Nanbancha, Sinsurin, Limroongreungrat, & Wang, 2021; Vanderstukken, Borms, Berckmans, Spanhove, & Cools, 2020), there are currently no studies evaluating co‐activation using the whole time series of a task by using SPM.…”

Section: Introductionmentioning

confidence: 99%

Temporal differences in the myoelectric activity of lower limb muscles during rearfoot and forefoot running: A statistical parametric mapping approach

Valencia

Weinstein

Salas

et al. 2022

European Journal of Sport Science

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Forefoot (FF) and rearfoot (RF) running techniques can induce different lower-limb muscle activation patterns. However, few studies have evaluated temporal changes in the electromyographic activity (EMG) of lower limb muscles during running. The aim of this study was to compare temporal changes in EMG amplitude between RF and FF running techniques. Eleven recreational runners ran on a treadmill at a self-selected speed, once using a RF strike pattern and once using a FF strike pattern (randomized order). The EMG of five lower limb muscles [rectus femoris (RFe), biceps femoris (BF), tibialis anterior (TA), medial and lateral gastrocnemius (MG and LG)] was evaluated, using bipolar electrodes. EMG data from the RF and FF running techniques was then processed and compared with statistical parametric mapping (SPM), dividing the analysis of the running cycle into stance and swing phases. The MG and LG muscles showed higher activation during FF running at the beginning of the stance phase and at the end of the swing phase. During the end of the swing phase, the TA muscle's EMG amplitude was higher, when the RF running technique was used. A higher level of co-activation between the gastrocnemius and TA muscles was observed in both stance and swing phases using RF. The myoelectric behaviour of the RFe and BF muscles was similar during both running techniques. The current findings highlight that the two running techniques predominately reflect adjustments of the shank and not the thigh muscles, in both phases of the running cycle. Highlights. Statistical parametric mapping (SPM) can reveal temporal differences in muscle activity between running techniques. . The medial and lateral gastrocnemius muscles were more active at specific time-instants of the initial stance and late swing phases during forefoot (FF) running compared to rearfoot (RF) running. . Higher activation was observed for the tibialis anterior muscle at the end of the swing phase during RF running . Contrary to the muscle activity differences observed in the leg muscles, the muscle activity of the thigh muscles was similar during RF and FF running.

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Neuromuscular control of the ankle during pre-landing in athletes with chronic ankle instability: Insights from statistical parametric mapping and muscle co-contraction analysis

Cited by 14 publications

References 42 publications

Ankle strategies for step-aside movement during quiet standing

Ankle strategies for step-aside movement during quiet standing

Effect of Increased Flexor Hallucis Longus Muscle Activity on Ground Reaction Force during Landing

Temporal differences in the myoelectric activity of lower limb muscles during rearfoot and forefoot running: A statistical parametric mapping approach

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