Upper Limbs Muscle Co-Contraction Changes Correlate With The Physical Motor Impairments in CMT

Author:

Lencioni Tiziana1, ,Bandini Virginia1,Schenone Cristina23,Lagostina Maria23,Aiello Alessia4,Schenone Angelo23,Ferrarin Maurizio1,Trompetto Carlo23,Mori Laura23

Affiliation:

1. IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy

2. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy

3. Department of Neuroscience, IRCCS Ospedale Policlinico San Martino, Genoa, Italy

4. UOC Medicina Fisica e Riabilitazione, Istituto Giannina Gaslini, Genoa, Italy

Abstract

Background: Subjects with Charcot-Marie-Tooth (CMT) disease show hands impairment which is a relevant problem affecting the quality of life. This symptom is related to muscle weakness and reduced motor coordination of the upper limb. However, most studies focus on lower limb impairment, therefore the investigation of upper limb disability is necessary to identify biomarkers able to monitor disease-specific features and to tailor rehabilitation. Objective: This study aimed at characterizing upper limb muscle co-contraction using the co-contraction index (CCI) in CMT population. Methods: Upper limb kinematic and electromyography (EMG) data were collected from fourteen CMT subjects (6-CMT1A and 8-CMT1X) during motor tasks typical of daily living activities. Rudolph’s CCI was used to quantify muscle co-contraction of four muscle pairs acting on shoulder, elbow and wrist. All CMT subjects underwent clinical examination. Thirteen healthy subjects served as the normative reference (HC). Results: CMT1X and CMT1A showed a significant reduction in CCI for distal and proximal muscle pairs compared to HC. Furthermore, CMT1A showed greater values of CCI compared to CMT1X mainly for the axial and axial-to-proximal muscle pairs. Movement speed and smoothness were not altered compared to HC. In addition, EMG metrics showed moderate-to-strong significant correlations with clinical outcomes. Conclusions: CCI was able to quantify disease-specific deficits with respect to the normative reference, highlighting motor control alterations even before motor output impairment. CCI was also sensitive in detecting CMT subtypes-based differences and adopted compensatory strategies. Our findings suggest that CCI can be an outcome measure for CMT disease monitoring and interventional studies.

Publisher

IOS Press

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