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The Best Lumbothoracic-Cervical Chain Stabilization Exercise for Longus Colli Activation

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The best lumbothoracic-cervical chain stabilization exercise to improve the underactive longus colli (LC) muscle is unknown in individuals with cervical instability. To compare the core stabilization effects of preferred stabilization (PS), abdominal drawing-in maneuver (ADIM), and dynamic neuromuscular stabilization (DNS) techniques on LC and sternocleidomastoid (SCM) motor control in individuals with cervical instability. For the study, 20 subjects underwent the modified neck flexion endurance (MNFE) test in crook-lying under the three PS, ADIM, and DNS conditions in a random sequence. The LC cross sectional area (CSA) and SCM activity were determined using ultrasonography (US) and electromyography (EMG), respectively. Repeated measures ANOVA revealed a significant main effect in the LC CSA across the three PS, ADIM, and DNS conditions (p < 0.01). A post hoc comparison confirmed that LC CSA was greatest during DNS compared to PS (p < 0.01) or ADIM (p = 0.04). A significant main effect was observed in SCM EMG activity across the three conditions (p = 0.01). The overactive SCM activity was more deactivated during the DNS (49.01) than PS (59.04) conditions. The present results demonstrated a superior effect of DNS on increased activation of the underactive deep neck flexor and deactivation of the overactive superficial SCM in individuals with cervical instability compared to ADIM and PS conditions. This finding suggests that such increased deep neck flexor activation is closely linked with balanced core stabilization of the cervical-thoracic-lumbo-pelvic chain.
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Keywords: CERVICAL INSTABILITY; CORE STABILITY; DYNAMIC NEUROMUSCULAR STABILIZATION

Document Type: Research Article

Publication date: January 1, 2018

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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