Electromyography as a tool to motion analysis for people with Amyotrophic Lateral Sclerosis: A protocol for a systematic review.

Biomechanical analysis of human movement plays an essential role in understanding functional changes in people with Amyotrophic Lateral Sclerosis (ALS), providing information on muscle impairment. Studies suggest that surface electromyography (sEMG) may be able to quantify muscle activity, identify levels of fatigue, assess muscle strength, and monitor variation in limb movement. In this article, a systematic review protocol will analyze the psychometric properties of the sEMG regarding the clinical data on the skeletal muscles of people with ALS. This protocol uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodological tool. A specific field structure was defined to reach each phase. Nine scientific databases (PubMed, Web of Science, Embase, Elsevier, IEEE, Google Scholar, SciELO, PEDro, LILACS E CENTRAL) were searched. The framework developed will extract data (i.e. study information, sample information, sEMG information, intervention, and outcomes) from the selected studies using a rigorous approach. The data will be described quantitatively using frequency and trend analysis methods, and heterogeneity between the included studies will be assessed using the I2 test. The risk of bias will be summarized using the most recent prediction model risk of bias assessment tool. Be sure to include relevant statistics here, such as sample sizes, response rates, P values or Confidence Intervals. Be specific (by stating the value) rather than general (eg, "there were differences between the groups"). This protocol will map out the construction of a systematic review that will identify and synthesize the advances in movement analysis of people with ALS through sEMG, using data extracted from articles.

Are neck pain, disability, and deep neck flexor performance the same for the different types of temporomandibular disorders?

OBJECTIVE: To evaluate neck pain, disability, and deep neck flexor (DNF) performance of individuals with temporomandibular disorders (TMD). METHODS: Eighty individuals were divided into the following: arthrogenic TMD (n = 40), myogenic TMD (n = 12), and mixed TMD (n = 28). Neck pain intensity, neck disability, and DNF performance were evaluated. RESULTS: Individuals with arthrogenic TMD reported lower intensity of neck pain when compared to mixed TMD (p = 0.01). Individuals with arthrogenic TMD had less neck disability than individuals with myogenic TMD (p = 0.037) and mixed TMD (p < 0.001). A moderate positive correlation was found between neck pain and neck disability (p < 0.001). No differences were found for DNF performance. CONCLUSION: Neck pain and disability differs according to subtype of TMD, but performance of the deep neck flexors does not. Neck pain intensity and neck disability were correlated in patients with TMD.