Publications by authors named "Helena de Moraes"
Article Synopsis
- The study aimed to identify clinical predictors that indicate a higher likelihood of finding genetic causes in patients with developmental and epileptic encephalopathies, excluding those cases specifically associated with Dravet Syndrome.
- Among the 98 patients analyzed, 48% received a genetic diagnosis, with significant predictors including a first seizure during fever and signs of hypotonia that increased the likelihood of a positive result, while atonic seizures reduced it.
- The findings suggest that the first seizure in a feverish context and hypotonia are critical factors in predicting genetic causes, highlighting the complexity of associations among various epileptic syndromes and their genetic links.
This study aimed to examine and compare mood states profile and physical performance during different training phases between 2 groups of adolescent basketball players that were differentiated according to baseline testosterone concentration (T). The basketball players were submitted to an intensified training period (OVL) followed by a tapering period (TP). Twenty-three young male basketball players initiated the study.
View Article and Find Full Text PDFBackground: An analysis of cortical activity by electroencephalogram (EEG) may show different patterns in depressed and normal individuals.
Objectives: Our study aimed (1) to compare the total mean frequency (TMF) and mean EEG frequency per bands (MFB) in depressed and healthy elderly individuals, and (2) to verify the effect of exercise as an additional treatment for major depressive disorder (MDD; according to DSM-IV) via an assessment of depressive symptoms, TMF and MFB.
Methods: This research was divided into 2 studies.
Although neurophysiological changes of aging are well known, there is still much to learn about cortical asymmetry in older depressed subjects. This study aimed at assessing differences between depressed and normal elderly subjects on alpha asymmetry, and to observe the correlations of this measure with depressive symptoms and quality of life. Thirty-six subjects (14 normal and 22 depressed) were assessed by EEG, depression rating scales, and SF-36.
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