Sex-dependent and sex-independent muscle activation patterns in adult gait as a function of age

Bailey, Christopher A.; Corona, Federica; Pilloni, Giuseppina; Porta, Micaela; Fastame, Maria Chiara; Hitchcott, Paul Kenneth; Penna, Maria Pietronilla; Pau, Massimiliano; Côté, Julie N.

doi:10.1016/j.exger.2018.05.005

Cited by 31 publications

(41 citation statements)

References 37 publications

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“…Previous studies reported a number of age-related changes in EMG activity during walking indicating that recruitment of ankle muscles changes with age. For example, EMG magnitude of the TA at mid swing was shown to decrease with age (Bailey et al 2018), and the onset of TA activity within the gait cycle was earlier and offset was later in older compared to young adults (Hortobagyi et al 2009, Franz & Kram 2013. In PD, EMG activity of distal leg muscles during gait was found to be reduced and poorly modulated (Dietz et al 1995, Dietz & Colombo 1998, Mitoma et al 2000, Caliandro et al 2011.…”

Section: Changes In Corticomuscular Control With Aging and Parkinson'mentioning

confidence: 99%

Corticomuscular control of walking in older people and people with Parkinson’s disease

Roeder

Boonstra

Kerr

2019

Preprint

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Changes in human gait that result from ageing or neurodegenerative diseases are multifactorial. Here we assess the effects of age and Parkinson’s disease (PD) on corticospinal control in electrophysiological activity recorded during treadmill and overground walking. Electroencephalography (EEG) from 10 electrodes and electromyography (EMG) from two leg muscles were acquired from 22 healthy young, 24 healthy older and 20 adults with PD. Event-related power, corticomuscular coherence (CMC) and inter-trial coherence were assessed for EEG from bilateral sensorimotor cortices and EMG from tibialis anterior muscles during the double support phase of the gait cycle. CMC and EMG power in the low beta band (13-21 Hz) was significantly decreased in older and PD participants compared to young people, but there was no difference between older and PD groups. Older and PD participants spent shorter time in the swing phase than young individuals. These findings indicate age-related changes in the temporal coordination of gait. The decrease in beta CMC suggests reduced cortical input to spinal motor neurons in older people during the double support phase. We also observed multiple changes in electrophysiological measures at high beta and low gamma frequencies during treadmill compared to overground walking, indicating task-dependent differences in corticospinal locomotor control.

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Section: Changes In Corticomuscular Control With Aging and Parkinson'mentioning

confidence: 99%

Corticomuscular control of walking in older people and people with Parkinson’s disease

Roeder

Boonstra

Kerr

2019

Preprint

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“…A previous research pointed out mean CV values higher than 0.86 for GL in an adult population [16], suggesting that older age could increase sEMG signal variability. Thus, a control group of adult subjects (A-group) was also included in the present analysis, to consider the possible influence of age on CV value.…”

Section: Discussionmentioning

confidence: 86%

“…Nevertheless, a gold standard has not been identified yet. The CV adopted in this work has been proved to be a suitable and easy-to-measure index to assess in different clinical and experimental environments [14][15][16]. Thus, the goal of the present study is to assess the variability of the sEMG signal acquired over ankle muscles during hemiplegic-children walking by means of CV-index computation.…”

Section: Discussionmentioning

confidence: 99%

“…The CV index is used to measure the variability of muscles rhythmic activation during walking. According to the definition provided in Table 1, the value of this index within a cycle is computed as the ratio of the sEMG signal standard deviation (σ i ) to the mean value (X i ) in a single i-th interval [15,16]:…”

Section: Variability Indexmentioning

confidence: 99%

“…Overall variability of human motion is associated with variability of muscle activity, quantified by EMG signals. In a preliminary study of the present group of researchers [14], sEMG-signal variability was quantified in relation to motor development, comparing adult and children populations by means of a quantitative index, the coefficient of variation (CV), previously tested on different EMG signals [14][15][16]. That study suggested that CV is an easy-to-measure index able to quantify sEMG variability in different experimental conditions and with different clinical purposes: In adult and pediatric populations and for both intra-and inter-subject studies.…”

Section: Introductionmentioning

confidence: 99%

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Variability of Muscular Recruitment in Hemiplegic Walking Assessed by EMG Analysis

et al. 2020

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Adaptive variability during walking is typical of child motor development. It has been reported that neurological disorders could affect this physiological phenomenon. The present work is designed to assess the adaptive variability of muscular recruitment during hemiplegic walking and to detect possible changes compared to control populations. In the attempt of limiting the complexity of computational procedure, the easy-to-measure coefficient of variation (CV) index is adopted to assess surface electromyography (sEMG) variability. The target population includes 34 Winters’ type I and II hemiplegic children (H-group). Two further healthy populations, 34 age-matched children (C-group) and 34 young adults (A-group), are involved as controls. Results show a significant decrease (p < 0.05) of mean CV for gastrocnemius lateralis (GL) in H-group compared to both C-group (15% reduction) and A-group (35% reduction). Reductions of mean CV are detected also for tibialis anterior (TA) in H-group compared to C-group (7% reduction, p > 0.05) and A-group (15% reduction, p < 0.05). Lower CVs indicate a decreased intra-subject variability of ankle-muscle activity compared to controls. Novel contribution of the study is twofold: (1) To propose a CV-based approach for an easy-to-compute assessment of sEMG variability in hemiplegic children, useful in different experimental environments and different clinical purposes; (2) to provide a quantitative assessment of the reduction of intra-subject variability of ankle-muscle activity in mild-hemiplegic children compared to controls (children and adults), suggesting that hemiplegic children present a limited capability of adapting their muscle recruitment to the different stimuli met during walking task. This finding could be very useful in deepening the knowledge of this neurological disorder.

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Sex-independent and dependent effects of older age on cycle-to-cycle variability of muscle activation during gait

Bailey

Porta

Pilloni

et al. 2019

Experimental Gerontology

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Sex-dependent and sex-independent muscle activation patterns in adult gait as a function of age

Cited by 31 publications

References 37 publications

Corticomuscular control of walking in older people and people with Parkinson’s disease

Corticomuscular control of walking in older people and people with Parkinson’s disease

Variability of Muscular Recruitment in Hemiplegic Walking Assessed by EMG Analysis

Sex-independent and dependent effects of older age on cycle-to-cycle variability of muscle activation during gait

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