Efficacy of an Attentional Process Training Using Competitive Versus Non Competitive Strategies

Participants: Sixty 18-75 years-old patients with acquired brain injury, will be randomly assigned to 30 sessions of competitive versus non-competitive cognitive attentional training (see inclusion-exclusion criteria). Material and Methods: Randomized clinical trial comparing two different attentional training strategies. Attentional measures, usability data and caregiver/family perception of change, will be compared after completing both conditions. Competitive training will include a new computer based training program that involve using attentional skills under different competitive scenarios. Attentional exercises were designed according to the instructions of two experts neuropsychologists and included game-based situations simulating different olympic disciplines.Neuropsychological protocol: An assessment before the beginning of the intervention and pos-treatment will be done by a trained blinded neuropsychologist using measures of selective, sustained, divided and alternating attention (see primary outcome measures). Usability and Motivation: It is well-known that game-based cognitive exercises can increase motivation to treatment which in turn can increase learning strategies and improve outcomes after rehabilitation processes. Competitive tasks can also improve the effort and interest of the players and the intensity of the task through increasing motivation to win, get a reward and beat the others. Since motivation was an important element of our research, we assessed this capacity at the end of the treatment with the Intrinsic Motivation Scale. Also, the revised Competitiveness Index was used to measure the subject's preference for competitive situations. Finally, usability was considered a secondary outcome of our study since most of the games employed here were designed to be played in a new virtual reality system which was build to facilitate competitive strategies among 2-4 players (see secondary outcomes). Sample Size Calculation: There was any previous study that used the design proposed in this investigation. Considering a reduction bigger of 20% on the Hit-Reaction Time of the CPT-II scores in the active group intervention, sample size in both groups of 27 participants and standard-deviation in the magnitude of half of the medium score in each group (moderate variability), the study will be able to detect a moderate effect size (ES = 0,4). Calculating a sample loss of 10% each group, we define a sample size per group of 30 individuals. Statistical methods Statistical analyses will be performed with Statistical Package for the Social Sciences (SPSS) 12.0. The univariate analyses will be performed with the t student test / Mann-Whitney to continuous variables or Chi-Square test (X²) / Fischer test to categorical variables. The effective of the intervention over time will be assess through analyses of mixed models (repeated measures ANOVA).