Background/Hypothesis: Motion sensitivity symptoms, such as dizziness or unsteadiness, are frequently reported as non-headache symptoms of migraine. Postural imbalance has been observed in subjects with vestibular migraine, chronic migraine, and aura. We aimed to assess the ability of largest Lyapunov’s exponent for a short time series (sLLE), which reflects the ability to cope with internal perturbations during gait, to detect differences in local dynamic stability between individuals with migraine without aura (MO) with an episodic pattern between attacks and healthy subjects (HS). Methods: Trunk accelerations of 47 MO and 38 HS were recorded during gait using an inertial measurement unit. The discriminative ability of sLLE was assessed through receiver-operating characteristics curves and cutoff analysis. Partial correlation analysis was conducted between the clinical and gait variables, excluding the effects of gait speed. Results: MO showed higher sLLE values, and reduced pelvic rotation, pelvic tilt, and stride length values. sLLEML and pelvic rotation showed good ability to discriminate between MO and HS and were correlated with the perceived pain, migraine disability assessment score, and each other. Conclusions: these findings may provide new insights into the postural balance control mechanism in subjects with MO and introduce the sLLEML as a potential measure of dynamic instability in MO.

Local dynamic stability of trunk during gait can detect dynamic imbalance in subjects with episodic migraine / Castiglia, Stefano Filippo; Sebastianelli, Gabriele; Abagnale, Chiara; Casillo, Francesco; Trabassi, Dante; Di Lorenzo, Cherubino; Ziccardi, Lucia; Parisi, Vincenzo; Di Renzo, Antonio; De Icco, Roberto; Tassorelli, Cristina; Serrao, Mariano; Coppola, Gianluca. - In: SENSORS. - ISSN 1424-8220. - 24:23(2024). [10.3390/s24237627]

Local dynamic stability of trunk during gait can detect dynamic imbalance in subjects with episodic migraine

Castiglia, Stefano Filippo;Sebastianelli, Gabriele;Abagnale, Chiara;Casillo, Francesco;Trabassi, Dante;Di Lorenzo, Cherubino;Serrao, Mariano;Coppola, Gianluca
2024

Abstract

Background/Hypothesis: Motion sensitivity symptoms, such as dizziness or unsteadiness, are frequently reported as non-headache symptoms of migraine. Postural imbalance has been observed in subjects with vestibular migraine, chronic migraine, and aura. We aimed to assess the ability of largest Lyapunov’s exponent for a short time series (sLLE), which reflects the ability to cope with internal perturbations during gait, to detect differences in local dynamic stability between individuals with migraine without aura (MO) with an episodic pattern between attacks and healthy subjects (HS). Methods: Trunk accelerations of 47 MO and 38 HS were recorded during gait using an inertial measurement unit. The discriminative ability of sLLE was assessed through receiver-operating characteristics curves and cutoff analysis. Partial correlation analysis was conducted between the clinical and gait variables, excluding the effects of gait speed. Results: MO showed higher sLLE values, and reduced pelvic rotation, pelvic tilt, and stride length values. sLLEML and pelvic rotation showed good ability to discriminate between MO and HS and were correlated with the perceived pain, migraine disability assessment score, and each other. Conclusions: these findings may provide new insights into the postural balance control mechanism in subjects with MO and introduce the sLLEML as a potential measure of dynamic instability in MO.
2024
Lyapunov’s exponent; accelerometry; headache; motion sensitivity; movement analysis; pelvic rotation; postural balance
01 Pubblicazione su rivista::01a Articolo in rivista
Local dynamic stability of trunk during gait can detect dynamic imbalance in subjects with episodic migraine / Castiglia, Stefano Filippo; Sebastianelli, Gabriele; Abagnale, Chiara; Casillo, Francesco; Trabassi, Dante; Di Lorenzo, Cherubino; Ziccardi, Lucia; Parisi, Vincenzo; Di Renzo, Antonio; De Icco, Roberto; Tassorelli, Cristina; Serrao, Mariano; Coppola, Gianluca. - In: SENSORS. - ISSN 1424-8220. - 24:23(2024). [10.3390/s24237627]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1729830
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