THE INFLUENCE OF THE LATERALITY OF THE STROKE LESION ON THE AUTONOMIC NERVOUS SYSTEM: AN OBSERVATIONAL CROSS-CROSS STUDY

• Grant number: 24/14376-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2024
• End date: August 31, 2025
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Thiago Luiz de Russo
• Grantee: Letícia Bianca Farias
• Host Institution: Centro de Ciências Biológicas e da Saúde (CCBS). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• Associated research grant: 23/04712-7 - EFFICACY OF MULTIMODAL CIRCUIT TRAINING WITH MODERATE TO HIGH INTENSITY TO INCREASE THE NUMBER OF STEPS AND TO REDUCE SEDENTARY TIME IN PEOPLE WHO HAD STROKE: A RANDOMIZED CLINICAL TRIAL, AP.R

Abstract

Blackgound: Cerebrovascular accident (CVA) is one of the main causes of death in the world and is the most disabling disease. Many studies relate the cerebral and cardiovascular systems, but little is discussed about how the laterality of the stroke affects the Autonomic Nervous System (ANS). Objective: To evaluate whether there is a correlation between cerebral laterality and the ANS of post-stroke patients. Methods: This is a cross-sectional observational characterization study, whose methodological steps will follow the STROBE recommendations. 60 volunteers of both sexes will be included, aged between 40 and 80 years, who have had a single stroke (ischemic) with unilateral involvement, with a post-injury period of 6 months to 2 years. Two groups will be formed with volunteers who meet the inclusion criteria, one group that suffered a stroke on the right and the other group that suffered a stroke on the left. In a second step, individuals will perform the Heart Rate Variability (HRV) test to characterize the variations in the patient's ANS during the postural change from lying down to standing up. Data collection will be carried out using a strap (H10 Polar®, Kempele, Finland) with a sensor capable of capturing the heart's electrical impulses, the information will be passed to the Elite HRV software (Polar®, Kempele, Finland), then these data will be analyzed using the Kubios® HRV Standart Software (Version 3.5) (University of Kuopio, Kuopio, Finland). For statistical analysis, the normality and homogeneity of the data will be tested using the Shapiro-Wilk and Levene tests. The independent t test will be used for variables with normal distribution and the Mann-Whitney test for variables with non-normal distribution. A significance level of 5% will be considered. The analyzes will be carried out using the Statistical Package for Social Sciences (SPSS).