Eight - Aging, Complexity, and Motor Performance
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The effect of standing posture on amplitude and variability of postural tremor in Parkinson's disease
2023, Neuroscience LettersAge- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control
2018, NeuroscienceCitation Excerpt :Peripheral and central changes contribute to age-related differences in force control (Diermayr et al., 2011). On a behavioral level the magnitude of variability increases with age (Vaillancourt and Newell, 2003; Christou and Tracy, 2006; Ofori et al., 2010; Sosnoff and Newell, 2011; Vieluf et al., 2013), while the structure of variability, referred to as complexity, decreases (Vaillancourt and Newell, 2002; Newell et al., 2006; Vieluf et al., 2015). On an electrophysiological level brain network connectivity during rest is higher and lower during tasks for older than for young adults accompanied by a less strong suppression of default mode network activity (Steffener et al., 2012; Betzel et al., 2014; Sala-Llonch et al., 2015; Binder et al., 2017).
Towards a Grand Unified Theory of sports performance
2017, Human Movement ScienceEating Capability Assessments in Elderly Populations
2017, Nutrition and Functional Foods for Healthy AgingTime dependent structure of postural sway in individuals with multiple sclerosis
2016, Gait and PostureCitation Excerpt :In order to combat this limitation, non-linear measures, such as approximate entropy (ApEn), can be used to describe the intrinsic dynamics or regularity of the system [12]. In general, non-linear analyses of physiological function have been found to be more sensitive to declines in physiological health in a myriad of conditions compared to standard distribution analyses [13–16]. Non-linear analyses have the potential to identify impairments in postural control in individuals with MS who present with subtle balance impairment undetectable with traditional linear measures.