ABSTRACT
Background: Transcranial direct current stimulation (tDCS) is a promising treatment for Alzheimer's Disease (AD). However, identifying objective biomarkers that can predict brain stimulation efficacy, remains a challenge. The primary aim of this investigation is to delineate the cerebral regions implicated in AD, taking into account the existing lacuna in comprehension of these regions. In pursuit of this objective, we have employed a supervised machine learning algorithm to prognosticate the neurophysiological outcomes resultant from the confluence of tDCS therapy plus cognitive intervention within both the cohort of responders and non-responders to antecedent tDCS treatment, stratified on the basis of antecedent cognitive outcomes. Methods: The data were obtained through an interventional trial. The study recorded high-resolution electroencephalography (EEG) in 70 AD patients and analyzed spectral power density during a 6 min resting period with eyes open focusing on a fixed point. The cognitive response was assessed using the AD Assessment Scale-Cognitive Subscale. The training process was carried out through a Random Forest classifier, and the dataset was partitioned into K equally-partitioned subsamples. The model was iterated k times using K-1 subsamples as the training bench and the remaining subsample as validation data for testing the model. Results: A clinical discriminating EEG biomarkers (features) was found. The ML model identified four brain regions that best predict the response to tDCS associated with cognitive intervention in AD patients. These regions included the channels: FC1, F8, CP5, Oz, and F7. Conclusion: These findings suggest that resting-state EEG features can provide valuable information on the likelihood of cognitive response to tDCS plus cognitive intervention in AD patients. The identified brain regions may serve as potential biomarkers for predicting treatment response and maybe guide a patient-centered strategy. Clinical Trial Registration: https://classic.clinicaltrials.gov/ct2/show/NCT02772185?term=NCT02772185&draw=2&rank=1, identifier ID: NCT02772185.
ABSTRACT
INTRODUÇÃO: No segundo semestre do ano de 2015 um surto de microcefalia foi registrado na região nordeste do Brasil. O presente artigo tem como objetivo traçar o perfil clínico dos portadores da síndrome congênita do zika vírus da cidade de Campina Grande. MÉTODOS: Tratou-se de um estudo documental com abordagem quantitativa. A coleta de dados deu-se no Centro Especializado em Reabilitação (CER), no município de Campina Grande no estado da Paraíba com análise de 66 prontuários. RESULTADOS: Maioria do sexo feminino (57,6%), com idade média de 3,36 anos. Houve predominância de infecção pelo vírus da Zika no 1º trimestre de gestação (69,7%), em mães com baixo grau de escolaridade em que apenas 28,8% completaram o ensino médio. A maioria das crianças, mesmo com a infecção, nasceram a termo (68,2%), porém, apresentaram baixo peso ao nascer, 2,697kg em média, perímetro cefálico médio de 29,97 cm, hipertonia, diminuição da amplitude de movimento, grande dependência nas atividades de vida diária e um importante atraso no desenvolvimento neuropsicomotor. CONSIDERAÇÕES FINAIS: Com isto é possível destacar que os distúrbios apresentados, contribuem de maneira negativa para o desenvolvimento motor das crianças gerando um impacto em sua qualidade de vida
INTRODUCTION: In the second half of 2015, an outbreak of microcephaly was recorded in the northeast of Brazil. This article aims to outline the clinical profile of patients with congenital Zika virus syndrome in the city of Campina Grande. METHODS: This was a documentary study with a quantitative approach. Data collection took place at the Specialized Center for Rehabilitation (CER), in the city of Campina Grande in the state of Paraíba, with the analysis of 66 medical records. RESULTS: Most of them were female (57.6%), with an average age of 3.36 years. There was a predominance of Zika virus infection in the first trimester of pregnancy (69.7%), in mothers with a low level of education, in which only 28.8% completed high school. Most of the children, even with the infection, were born at term (68.2%), however, they had low birth weight, 2.697 kg on average, average head circumference of 29.97 cm, hypertonia, decreased range of motion, great dependence on activities of daily living and an important delay in neuropsychomotor development. FINAL CONSIDERATIONS: With this it is possible to highlight that the disorders presented, contribute negatively to the motor development of children generating an impact on their quality of life
