Postconcussion Postural Sway Variability Changes in Youth

Quatman‐Yates, Catherine; Bonnette, Scott; Hugentobler, Jason; Médé, Butovens; Kiefer, Adam W.; Kurowski, Brad G.; Riley, Michael A.

doi:10.1097/pep.0000000000000193

Cited by 41 publications

(50 citation statements)

References 64 publications

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“…The x-axis represents the Medial-Lateral (ML) axis while the y-axis represents the Anterior-Posterior (AP) axis. Similarly to Quatman-Yates et al, 33 a distinction was made between COP measures of path characteristics and data structure characteristics. Path characteristics are metrics that represent the spatial variability of the data, while data structure characteristics capture patterns of temporal variability within the data.…”

Section: Methodsmentioning

confidence: 99%

“…Path characteristic metrics are inherently similar, which can make it difficult to differentiate among the various metrics. 27,33 …”

Section: Methodsmentioning

confidence: 99%

“…29,33,34,39–41 Entropy measures the overall variability or randomness of a particular data series and is considered as a data structure characteristic. A lower entropy value would be indicative of a less varied balance trajectory.…”

Section: Methodsmentioning

confidence: 99%

“…It is calculated as follows:

italicRenyi italicEntropy = \frac{1}{1 - q} normalln (\sum_{i = 1}^{m} p_{i}^{q})

where q is a selected parameter and is equal to −1 for this analysis. 33 …”

Section: Methodsmentioning

confidence: 99%

“…This quantitative analysis of balance has been used to delineate between healthy and impaired states for athletes. 27,28,33 …”

Section: Introductionmentioning

confidence: 99%

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Postural Control and Head Impact Exposure in Youth Football Players: Comparison of the Balance Error Scoring System and a Force Plate Protocol

Campolettano

Brolinson

Rowson

2018

Journal of Applied Biomechanics

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Postural control testing is often used by clinicians and athletic trainers to assess the health of athletes during recovery from a concussion. Characterization of postural control as a clinical tool for use with youth athletes is limited though. The objective of this study was to compare performance on the Balance Error Scoring System (BESS) and a force plate protocol at the beginning and end of a season of football within a cohort of 34 healthy youth football players (average age of 9.9 ± 0.6 years). A secondary aim was to investigate if changes in measures of balance from the postseason to the preseason were correlated with head impact exposure. Players completed testing at the beginning and end of the youth football season. There were no significant differences between BESS scores before the season and after the season (p = 0.54). Performance on the BESS was not associated with any of the center of pressure (COP) metrics considered in this study. No correlation was observed between measures of balance and head impact exposure for the season. Further research is required to determine the viability of postural control testing with this population.

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Section: Methodsmentioning

confidence: 99%

“…Path characteristic metrics are inherently similar, which can make it difficult to differentiate among the various metrics. 27,33 …”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…It is calculated as follows:

italicRenyi italicEntropy = \frac{1}{1 - q} normalln (\sum_{i = 1}^{m} p_{i}^{q})

where q is a selected parameter and is equal to −1 for this analysis. 33 …”

Section: Methodsmentioning

confidence: 99%

“…This quantitative analysis of balance has been used to delineate between healthy and impaired states for athletes. 27,28,33 …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Postural Control and Head Impact Exposure in Youth Football Players: Comparison of the Balance Error Scoring System and a Force Plate Protocol

Campolettano

Brolinson

Rowson

2018

Journal of Applied Biomechanics

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Balance Testing Following Concussion: Postural Sway versus Complexity Index

Purkayastha

Adair

Woodruff

et al. 2019

PM&R

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Background Although postural control deficits are common following a concussion, the current clinical assessments for postural control tend to resolve within 3 to 10 days after injury. There is a lack of sensitive tools to examine subtle changes in postural control during the recovery phase following sports‐related concussion. Only a limited number of studies have examined nonlinear dynamics of postural control; no study has examined this metric longitudinally during the recovery phase following a sports‐related concussion. Objective To examine sway and complexity index of postural control in collegiate athletes during day 3, day 21, and day 90 following a concussion and compare them with noninjured controls. Design Prospective longitudinal case‐control study. Setting University cerebrovascular research laboratory. Participants Thirty‐one male and female collegiate athletes on day 3 following a concussion. Twenty‐eight athletes returned on day 21, and 21 completed assessments on day 90. Twenty‐nine sports‐matched noninjured controls. Methods Center of pressure (COP) measurements obtained during 60‐second quiet standing on a force plate system with either eyes opened or closed. Postural sway was estimated as range and variability of COP in the anteroposterior (AP) and mediolateral planes. Main Outcome Measurements Complexity index of AP COP utilizing multiscale entropy analysis. Results Postural sway measured as AP range (P = .03) and variability (P = .04) during quiet standing with eyes closed were higher on day 3 compared to the controls. Postural sway in the concussed group was comparable to the noninjured controls by day 21 postinjury. However, postural control dynamics utilizing complexity index was lower on day 3 (P < .001) and persisted on day 21 (P < .006) and day 90 (P < .02), despite resolution of abnormal postural sway 21 days postinjury. Conclusion Complexity index utilizing nonlinear dynamics might be a more sensitive objective biomarker for examining postural control following a concussion, with implications for return‐to‐play and interventions. Future studies with a larger sample size are needed to validate this finding. Clinical Trial Number NCT02754206. Level of Evidence III.

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Concussion Assessment During Gait

Catena¹,

Hildenbrand²

2018

Handbook of Human Motion

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Postconcussion Postural Sway Variability Changes in Youth

Cited by 41 publications

References 64 publications

Postural Control and Head Impact Exposure in Youth Football Players: Comparison of the Balance Error Scoring System and a Force Plate Protocol

Postural Control and Head Impact Exposure in Youth Football Players: Comparison of the Balance Error Scoring System and a Force Plate Protocol

Balance Testing Following Concussion: Postural Sway versus Complexity Index

Concussion Assessment During Gait

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