Instrumented gait analysis defines the walking signature of CACNA1A disorders

Background Gait disturbances are a frequent symptom in CACNA1A disorders. Even though, data about their severity and progression are lacking and no CACNA1A -specific scale or assessment for gait is available. Methods We applied a gait assessment protocol in 20 ambulatory patients with genetically co...

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Vydáno v:Journal of neurology Ročník 269; číslo 6; s. 2941 - 2947
Hlavní autoři: Indelicato, Elisabetta, Raccagni, Cecilia, Runer, Sarah, Hannink, Julius, Nachbauer, Wolfgang, Eigentler, Andreas, Amprosi, Matthias, Wenning, Gregor, Boesch, Sylvia
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022
Springer Nature B.V
Témata:
Ankle
Ataxia - diagnosis
Ataxia - genetics
Calcium Channels - genetics
Fitness equipment
Gait
Gait Analysis
Humans
Immunoglobulin A
Medicine
Medicine & Public Health
Neurology
Neuroradiology
Neurosciences
Original Communication
Walking
Episodic ataxia type 2
Gait analysis
Wearable sensors
Familial hemiplegic migraine type 1
CACNA1A
ISSN:0340-5354, 1432-1459, 1432-1459
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Shrnutí:Background Gait disturbances are a frequent symptom in CACNA1A disorders. Even though, data about their severity and progression are lacking and no CACNA1A -specific scale or assessment for gait is available. Methods We applied a gait assessment protocol in 20 ambulatory patients with genetically confirmed CACNA1A disorders and 39 matched healthy controls. An instrumented gait analysis (IGA) was performed by means of wearable sensors in basal condition and after a treadmill/cycloergometer challenge in selected cases. Results CACNA1A patients displayed lower gait speed, shorter steps with increased step length variability, a reduced landing acceleration as well as a reduced range of ankle motion compared to controls. Furthermore, gait-width in patients with episodic CACNA1A disorders was narrower as compared to controls. In one patient experiencing mild episodic symptoms after the treadmill challenge, the IGA was able to detect a deterioration over all gait parameters. Conclusions In CACNA1A patients, the IGA with wearable sensors unravels specific gait signatures which are not detectable at naked eye. These features (narrow-based gait, lower landing acceleration) distinguish these patients from other ataxic disorders and may be target of focused rehabilitative interventions. IGA can potentially be applied to monitor the neurological fluctuations associated with CACNA1A disorders.
Bibliografie:ObjectType-Article-1
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ISSN:0340-5354
1432-1459
1432-1459
DOI:10.1007/s00415-021-10878-y