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Motor adaptation of gait to bilaterally added lower-limb mass in young adults

Herzog, Michael ORCID iD icon 1; Riedel, Norman ORCID iD icon 2; Kettner, Cagla ORCID iD icon 1; Beyerlein, Melina 1; Weber, Jonas 1; Deml, Barbara ORCID iD icon 2; Stein, Thorsten 1
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)
2 Institut für Arbeitswissenschaft und Betriebsorganisation (IFAB), Karlsruher Institut für Technologie (KIT)

Abstract:

$\textbf{Background}$
Walking with bilaterally added lower-limb mass is a promising approach to improve gait function, but it alters the mechanics of the lower limbs. Consequently, the central nervous system needs to adapt and presumably form an internal model of the altered condition. However, this motor adaptation and de-adaptation process may jeopardize safe walking. This study aimed to analyze motor adaptation and de-adaptation in response to bilaterally added lower-limb mass.

$\textbf{Methods}$
Sixteen healthy female and male participants walked on a treadmill with and without weight cuffs attached to their thighs and shanks while full-body kinematics were recorded. Motor adaptation and deadaptation were analyzed using discrete spatiotemporal (e.g., stride length, cadence, joint range of motion), local hip and trunk (maximum Lyapunov exponent), and global stability metrics (detrended fluctuation analysis of stride time).

$\textbf{Results}$
Only minimum toe clearance showed a motor adaptation pattern, i.e., differed at the beginning of the adaptation and de-adaptation phases (both 0.023 ± 0.006% leg length) compared to baseline (0.016 ± 0.006% leg length; p < 0.001), and then converged close to baseline over multiple strides. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000195740
Veröffentlicht am 28.07.2026
Originalveröffentlichung
DOI: 10.1016/j.gaitpost.2026.110293
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Arbeitswissenschaft und Betriebsorganisation (IFAB)
Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2026
Sprache Englisch
Identifikator ISSN: 0966-6362, 1879-2219
KITopen-ID: 1000195740
Erschienen in Gait & posture
Verlag Elsevier
Band 130
Seiten Article: 110293
Projektinformation JuBot (ZEISS-STFG, 44727 (intern))
Vorab online veröffentlicht am 22.07.2026
Schlagwörter Motor learning; Locomotion; Weight cuffs; Stability; Non-linear analysis
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