Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors

Zhou, He; Nguyen, Huan Buu; Enriquez, Ana; Morsy, Louie; Curtis, Michael J.; Piser, Timothy M.; Kenney, C.; Stephen, Christopher D.; Gupta, Anoopum S.; Schmahmann, Jeremy D.; Vaziri, Ashkan

doi:10.1007/s10072-021-05657-6

Cited by 28 publications

(36 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, we studied the dependency between the upper-extremity SARA tests through correlation analyses and building predictive models to estimate the severity of symptoms based on the FCT and DDKT using the extracted features from the FNT. Our findings pave the way for the enhancement of the utility of objective measures of SCA assessments using wearable sensors and complement our previous study focused on objective assessments of gait and balance in SCA [ 11 ].…”

Section: Introductionsupporting

confidence: 76%

“…Moreover, objective measures may reveal patterns of motor control dysfunction below the threshold of detection even by subspecialty-trained clinical ataxiologists. More specifically, quantitative assessments in pre-symptomatic or early disease stages in neurodegenerative diseases may detect subtle changes in motor abilities that would not be sufficient to change the ordinal rating scale score from one severity level to the next on available clinical rating scales [ 9 , 10 , 11 ]. Therefore, such an approach may facilitate repeated assessments that can more accurately and reliably detect changes over time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors

Mohammadi-Ghazi

Nguyen

Mishra

et al. 2022

Sensors

View full text Add to dashboard Cite

The study presents a novel approach to objectively assessing the upper-extremity motor symptoms in spinocerebellar ataxia (SCA) using data collected via a wearable sensor worn on the patient’s wrist during upper-extremity tasks associated with the Assessment and Rating of Ataxia (SARA). First, we developed an algorithm for detecting/extracting the cycles of the finger-to-nose test (FNT). We extracted multiple features from the detected cycles and identified features and parameters correlated with the SARA scores. Additionally, we developed models to predict the severity of symptoms based on the FNT. The proposed technique was validated on a dataset comprising the seventeen (n = 17) participants’ assessments. The cycle detection technique showed an accuracy of 97.6% in a Bland–Altman analysis and a 94% accuracy (F1-score of 0.93) in predicting the severity of the FNT. Furthermore, the dependency of the upper-extremity tests was investigated through statistical analysis, and the results confirm dependency and potential redundancies in the upper-extremity SARA assessments. Our findings pave the way to enhance the utility of objective measures of SCA assessments. The proposed wearable-based platform has the potential to eliminate subjectivity and inter-rater variabilities in assessing ataxia.

show abstract

Section: Introductionsupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors

Mohammadi-Ghazi

Nguyen

Mishra

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Measures describing the variability of gait pattern have proven cross-sectional sensitivity to ataxia severity in a wide range of recording methods 30, 31 including marker-based capturing systems as gold standard 9, 10, 21 , gait mattresses 13, 20 , wearable inertial sensors 4, 5, 7, 8 , and camera-based systems 6 like the multi-kinect system 19 .…”

Section: Discussionmentioning

confidence: 99%

“…Thus, larger future studies are needed, including in particular a higher number of pre-ataxic subjects, to further validate the promises of gait measures. In future multi-center studies, the gait measures identified here might also be assessed not by a stationary analysis set-up, but rather by wearable inertial sensors 4, 5, 8 , which would -as important for ecological relevance-also allow assessments of these measures in patients’ real life 4, 34 .…”

Section: Discussionmentioning

confidence: 99%

“…With disease-modifying drugs on the horizon for degenerative ataxias 1,2 , sensitive motor biomarkers are highly warranted. Gait variability measures including step variability and body sway have shown their sensitivity to ataxia severity in multiple cross-sectional studies, correlating with clinical ataxia scores [3][4][5][6][7][8][9][10][11][12][13][14][15] . However, correlations with ataxia scores in cross-sectional studies are strongly influenced by the range of disease severity (range of observations 16 ): For cohorts that encompass a wide range of disease stages, many gait measures -including unspecific ones like gait speed-show significant correlation to disease severity, often predominantly driven by subjects at the ends of the spectrum of disease severity 16 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in Spinocerebellar ataxia type 3 (SCA3)

Ilg

Mueller²,

Faber

et al. 2022

Preprint

View full text Add to dashboard Cite

Measures of step variability and body sway during gait have shown to correlate with clinical ataxia severity in several cross-sectional studies. However, to serve as a valid progression biomarker, these gait measures have to prove their sensitivity to robustly capture longitudinal change, ideally within short time-frames (e.g. one year). We present the first multi-center longitudinal gait analysis study in spinocerebellar ataxias (SCAs). We performed a combined cross-sectional (n=28) and longitudinal (1-year interval, n=17) analysis in SCA3 subjects (including 7 pre-ataxic mutation carriers). Longitudinal analysis revealed significant change in gait measures between baseline and 1-year follow-up, with high effect sizes (stride length variability: p=0.01, effect size rprb=0.66; lateral sway: p=0.007, rprb=0.73). Sample size estimation for lateral sway reveals a required cohort size of n=43 for detecting a 50% reduction of natural progression, compared to n=240 for the clinical ataxia score SARA. These measures thus present promising motor biomarkers for upcoming interventional studies.

show abstract

Digital Gait Biomarkers Allow to Capture 1‐Year Longitudinal Change in Spinocerebellar Ataxia Type 3

et al. 2022

View full text Add to dashboard Cite

Measures of step variability and body sway during gait have shown to correlate with clinical ataxia severity in several cross‐sectional studies. However, to serve as a valid progression biomarker, these gait measures have to prove their sensitivity to robustly capture longitudinal change, ideally within short time frames (eg, 1 year). We present the first multicenter longitudinal gait analysis study in spinocerebellar ataxias. We performed a combined cross‐sectional (n = 28) and longitudinal (1‐year interval, n = 17) analysis in Spinocerebellar Ataxia type 3 subjects (including seven preataxic mutation carriers). Longitudinal analysis showed significant change in gait measures between baseline and 1‐year follow‐up, with high effect sizes (stride length variability: P = 0.01, effect size rprb = 0.66; lateral sway: P = 0.007, rprb = 0.73). Sample size estimation for lateral sway indicates a required cohort size of n = 43 for detecting a 50% reduction of natural progression, compared with n = 240 for the clinical ataxia score Scale for the Assessment and Rating of Ataxia (SARA). These measures thus present promising motor biomarkers for upcoming interventional studies. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

show abstract

Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors

Cited by 28 publications

References 41 publications

Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors

Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors

Digital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in Spinocerebellar ataxia type 3 (SCA3)

Digital Gait Biomarkers Allow to Capture 1‐Year Longitudinal Change in Spinocerebellar Ataxia Type 3

Contact Info

Product

Resources

About