Examining Relationships Between Musculoskeletal Function Measurements of Movement Efficiency and Nervous System Function After Chronic Stroke

Stroke remains the leading cause of severe disability, and survivors frequently have incomplete recovery. More than half of older survivors have impaired mobility which contributes to poorer quality-of-life (QoL) and suffering. The annual rate of disability compared to myocardial infarction triples, and stroke accelerates natural age-related functional decline. Somatic dysfunction (SD) is impaired function of the body framework identified by physical examination. Few studies have rigorously studied SD among stroke survivors. We recently demonstrated the reliability of a novel, more construct valid osteopathic examination methodology \[called the Functional Pathology of the Musculoskeletal System (FPMSS) model\] to quantify SD among asymptomatic participants and patients with acute cerebral ischemia. The preliminary findings suggest that dysfunction may develop within the first week after acute ischemic stroke (IS) and be more severe among those with paralysis compared to healthy volunteers. The precise pathophysiologic mechanism underlying SD remains unknown. The objective of this proposal is to establish the relationship between SD severity during chronic stroke recovery and physiologic biomarkers. The central hypothesis is that SD is quantifiable, correlates with biomarkers that reflect functional status, and is associated with QoL among chronic stroke survivors. There are currently no biomarkers that correlate with SD severity after IS. Establishing valid biomarkers associated with physiologic processes that are otherwise inferred by physical examination would allow for quantification of changes in response to treatment (e.g., osteopathic manipulative treatment; OMT) aimed at restoring economical biomechanical function. Testing this hypothesis will address several fundamental gaps in knowledge about osteopathic palpatory diagnosis, physiologic processes associated with SD, and its association with survivor outcomes. Until these knowledge gaps are filled, optimal