Multiscale entropy derived complexity index analysis demonstrates significant mediolateral sway in persons with multiple sclerosis compared to healthy controls

Etzelmueller, Mark S.; Yap, Siew-Mei; O’Keeffe, Clodagh; Gaughan, Maria; McGuigan, Christopher; Reilly, Richard B.

doi:10.1109/embc44109.2020.9175672

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…The percent change in the dual-task cost to ML sway complexity, and not AP sway complexity, was lower in those with AD, indicating that ML sway may be particularly sensitive to the interference on postural control from stressors (i.e., visual-search dual-tasking), and potentially to the incidence of risk events. Previous studies report that ML sway is closely associated with the risk of event (e.g., falls) in older adults and patient populations ( Stel et al, 2003 ; Błaszczyk and Orawiec, 2011 ; Park et al, 2014 ; Sun et al, 2019 ) and the changes in ML complexity is also associated with the changes in functions pertaining to postural control in vulnerable populations ( Etzelmueller et al, 2020 ). For example, in our previous study, we observed that postural sway complexity in ML direction was particularly sensitive to the changes in somatosensation of foot soles as induced by sub-threshold vibrations ( Zhou et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

The effects of cognitive impairment on the multi-scale dynamics of standing postural control during visual-search in older men

Zhou

Manor

McCarten

et al. 2023

Front. Aging Neurosci.

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BackgroundCognitive impairment disrupts postural control, particularly when standing while performing an unrelated cognitive task (i.e., dual-tasking). The temporal dynamics of standing postural sway are “complex,” and such complexity may reflect the capacity of the postural control system to adapt to task demands. We aimed to characterize the impact of cognitive impairment on such sway complexity in older adults.MethodsForty-nine older adult males (Alzheimer’s disease (AD): n = 21; mild cognitive impairment (MCI): n = 13; cognitively-intact: n = 15) completed two 60-s standing trials in each of single-task and visual-search dual-task conditions. In the dual-task condition, participants were instructed to count the frequency of a designated letter in a block of letters projected on screen. The sway complexity of center-of-pressure fluctuations in anterior–posterior (AP) and medial-lateral (ML) direction was quantified using multiscale entropy. The dual-task cost to complexity was obtained by calculating the percent change of complexity from single- to dual-task condition.ResultsRepeated-measures ANOVAs revealed significant main effects of group (F > 4.8, p < 0.01) and condition (F = 7.7, p < 0.007) on both AP and ML sway complexity; and significant interaction between group and condition for ML sway complexity (F = 3.7, p = 0.03). The AD group had the lowest dual-task ML complexity, as well as greater dual-task cost to ML (p = 0.03) compared to the other two groups. Visual-search task accuracy was correlated with ML sway complexity in the dual-task condition (r = 0.42, p = 0.007), and the dual-task cost to ML sway complexity (r = 0.39, p = 0.01) across all participants.ConclusionAD-related cognitive impairment was associated with a greater relative reduction in postural sway complexity from single- to dual-tasking. Sway complexity appears to be sensitive to the impact of cognitive impairment on standing postural control.

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Section: Discussionmentioning

confidence: 99%

The effects of cognitive impairment on the multi-scale dynamics of standing postural control during visual-search in older men

Zhou

Manor

McCarten

et al. 2023

Front. Aging Neurosci.

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“…The hypothesis explored here was that the random walk output of an RNG network is composed of a convolution of truly random data plus nonrandom temporal structure that emerges at different time scales. To test this idea, a multiscale entropy (MSE) complexity index [19] was applied to the original RNG data, and then compared against the same data that was randomly scrambled and also against arrays of the same length generated anew with a pseudorandom algorithm. A second analysis, based loosely on the idea of deconvolving a complex signal into its component factors, was devised for the purposes of this study.…”

Section: Methods Hypothesismentioning

confidence: 99%

Anomalous entropic effects in 23 years of continuously recorded truly random data: An exploratory analysis

Radin¹

2022

Preprint

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A network of electronic random number generators located around the world has continuously recorded samples of truly random bits since 1998, the source of randomness based on quantum indeterminate events. The data were part of an experiment studying a hypothesis that predicted the emergence of anomalous structure in randomness associated with world events that attracted collective human attention through live broadcast media. A formal experiment using these data from 1998 through 2015 used preplanned analytical methods to study 500 such events; the results revealed that randomness during those events deviated from chance expectation by over 7 sigma. The duration of those 500 events comprised less than 5% of all data available through 2022, so the present analysis examined the whole database to explore if the emergence of negentropy was specific to those events or reflective of a more fundamental relationship between mind, matter, and entropy. Two methods of analysis were used to detect temporal dependencies in time-series data. Both methods provided robust statistical evidence for negentropic behavior in what should have been, from a conventional perspective, a truly random sequence. These results are in alignment with models of consciousness based on the philosophy of neutral monism.

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“…For example, visual event-related potential measures and neurocognitive response times have been employed to differentiate healthy vs. diseased states and also to identify better cognitive performance in patients affected by neurological disease (e.g., multiple sclerosis) (Sundgren et al, 2015). "Stress-testing" approaches have also been proposed in multiple sclerosis cohorts for more objective recognition of disease progression; for example, by employing a multi scale entropy-derived outcome measure of posture during an eyesopen/eyes-closed task, which explores the dynamic integration of sensory and postural systems and may assist in the evaluation of pharmaceutical and rehabilitation interventions (Etzelmueller et al, 2020).…”

Section: Physiological Modeling Of Frailty and Resilience In Aging Adults: Current Approachesmentioning

confidence: 99%

Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults

Romero-Ortuño

Martínez‐Velilla

Sutton

et al. 2021

Front. Netw. Physiol.

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Multiscale entropy derived complexity index analysis demonstrates significant mediolateral sway in persons with multiple sclerosis compared to healthy controls

Cited by 4 publications

References 16 publications

The effects of cognitive impairment on the multi-scale dynamics of standing postural control during visual-search in older men

The effects of cognitive impairment on the multi-scale dynamics of standing postural control during visual-search in older men

Anomalous entropic effects in 23 years of continuously recorded truly random data: An exploratory analysis

Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults

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