Can transcranial direct current stimulation on the dorsolateral prefrontal cortex improves balance and functional mobility in Parkinson's disease?

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique increasingly explored for Parkinson's disease (PD). Although evidence is still inconsistent, there are preliminary findings suggesting its efficacy to improve motor function in individuals with PD, as the role of secondary motor areas remains unclear. The goal of this study was to investigate the effects of left dorsolateral prefrontal cortex (DLPFC) tDCS on balance and functional mobility of individuals with PD. Seventeen individuals with PD, on-medication, aged between 40 and 90 years were recruited to enroll in a double-blind, randomized, cross-over trial. Each participant completed two conditions at least 48h apart, namely anodal-tDCS and sham-tDCS (placebo). The a-tDCS condition targeted the left DLPC (F3) and was applied during 20min using a 2mA current intensity. In the sham-tDCS condition, electrode position remained the same but the stimulator was turned off after 30s. Functional mobility and balance were assessed using the Berg Balance Scale, Dynamic Gait Index and Timed Up and Go. There were significant differences between conditions on all outcome measures, as the a-tDCS condition was associated with better performance in comparison to the sham condition (p<0.05). Our findings suggest that a-tDCS on the left DLPFC improves balance and functional mobility in comparison to sham-tDCS. Compensatory mechanisms that support motor function in individuals with PD may have been enhanced by a-tDCS on the DLPFC, leading to improved functional mobility and balance. Future trials should explore left DLPFC stimulation with larger samples and compare t-DCS protocols targeting several brain regions.

Perímetro abdominal: evidências para a predição da gordura corporal subcutânea em meninos escolares / Abdominal girth: evidence for the prediction of subcutaneous body fat in student boys

Introdução: O diagnóstico de sobrepeso e obesidade pode ser realizado pela antropometria, por facilidade de execução e baixo custo. Considerando a preocupação com a característica de distribuição de gordura, novas estratégias poderiam ser desenvolvidas para a avaliação da composição corporal partindo de medidas antropométricas. Objetivos: Verificar a correlação do Perímetro Abdominal (PAB) e Perímetro da Cintura (PC) em separado, com o somatório de duas dobras cutâneas (DC), triciptal e subescapular; e incluir o perímetro com os maiores valores de correlação em uma equação de regressão para estimativa do somatório de DC. Métodos: Amostra composta por 1.729 meninos (9 e 14 anos), a avaliação da morfologia corporal foi realizada por medidas antropométricas simples e compostas. Foi utilizada uma correlação de Spearman para determinar a associação entre os PAB e PC com as DC. Foi feita uma análise de regressão linear múltipla com o PAB e idade para estimar o somatório de DC. Resultados: A seguinte equação foi gerada: Somatório de DC = 1,16397 (PAB) ­ 1,414922 (Idade) ­ 36,33021 (R=0,83). O valor da área sob a curva ROC (AUC) foi de 83% para identificar corretamente indivíduos abaixo ou acima do percentil 85 do somatório de DC. Conclusões: O PAB em conjunto com a idade, se torna um bom preditor da gordura corporal, caracterizada como o somatório de DC, em crianças e adolescentes do sexo masculino.

Introduction: The diagnosis of overweight and obesity can be accomplished by anthropometry, for ease of implementation and low cost. Considering the concern for the distribution of fat, new strategies could be developed for the diagnosis of body composition from anthropometric measurements. Objectives: To investigate the association of the abdominal girth (AG) and waist girth (WG) separately, with the sum of two skinfolds (SF), triceps and subscapular; and include the girth with higher correlation levels in a regression equation to estimate the SF sum. Methods: A sample of 1,729 boys (9 and 14), the evaluation of body composition was composed by simple and compound anthropometric measurements. The Spearman correlation was used to determine the association between AG and WG with the sum of SF. A multiple linear regression was applied including AG and age to estimate the sum of SF. Results: The following equation was generated: Sum of SF = 1.16397 (AG) - 1.414922 (age) - 36.33021 (R = 0.83). The area under the ROC curve (AUC) was 83% for correctly identifying individuals below or above the 85th percentile of the SF sum. Conclusions: AG, together with age, becomes a good predictor of body fat, characterized as the sum of two SF in children and adolescent males.