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Antunes,H.K.; De Mello,M.T.; Santos-Galduróz,R.F.; Galduróz,J.C.F.; Lemos,V.Aquino; Tufik,S.; Bueno,O.F.A.. |
The aim of this study was to investigate the effects of a 6-month exercise program on cognitive function and blood viscosity in sedentary elderly men. Forty-six healthy inactive men, aged 60–75 years were randomly distributed into a control group (n=23) and an experimental group (n=23). Participants underwent blood analysis and physical and memory evaluation, before and after the 6-month program of physical exercise. The control group was instructed not to alter its everyday activities; the experimental group took part in the fitness program. The program was conducted using a cycle ergometer, 3 times per week on alternate days, with intensity and volume individualized at ventilatory threshold 1. Sessions were continuous and maximum duration was 60 min... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cognition; Elderly adults; Physical exercise. |
Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2015000900805 |
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Rossi,A.S.U.; Moura,L.M.; Miranda,M.C.; Muszkat,M.; Mello,C.B.; Bueno,O.F.A.. |
This study aimed to explore attentional patterns among children with inattentive attention-deficit/hyperactivity disorder (ADHD-I) and children with typical development (TD), using a latent class analysis (LCA). Patterns of brain connectivity were also explored. The sample comprised 29 ADHD-I and 29 TD matched children. An LCA was conducted to reclassify subjects according to their attentional performance, considering cognitive measures of attention and behavioral symptoms, regardless of group of origin. The new clusters were then compared in respect to brain white matter measurements (extracted from diffusion tensor imaging). Participants were rearranged in 2 new latent classes, according to their performance in an attention task and the results of... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Attention-deficit/hyperactivity disorder; Attention; White matter; Pattern recognition; Diffusion tensor imaging. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018001100604 |
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