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14.
Eur J Appl Physiol ; 91(4): 493-8, 2004 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-14872247

RESUMO

The effect of drinking tea on hydration status and mood was studied in nine male and four female members of expeditions based at Mt. Everest base camp at an altitude of 5,345 m. Whilst exposed to altitude-cold diuresis, participants were subjected to a crossover experimental design comprising two 24-h dietary interventions. In the "tea" condition, hot brewed tea formed a major part of fluid intake, whereas in the "no-tea" condition tea was excluded from the diet. Subjects were prohibited in both cases from consuming other caffeinated beverages, caffeinated foods, and alcoholic drinks. Mean fluids ingested [mean (SE); tea=3,193 (259) ml versus no tea=3,108 (269) ml] and urine volume (tea=2,686 (276) ml versus no tea=2,625 (342) ml] were similar under both conditions. Statistical analysis found no difference in urine stimulated as a result of the tea intervention (P=0.81). Several markers of hydration status were also taken immediately pre and post each condition, including measures of urine specific gravity, urine electrolyte balance (K+, Na+), and urine colour. None of these measures indicated a difference in hydration status as a result of the dietary intervention in either the control or tea condition. A difference was, however, found in mood, with subjects reporting reduced fatigue when tea was included in the diet (P=0.005). The study shows therefore that even when drunk at high altitude where fluid balance is stressed, there is no evidence that tea acts as a diuretic when consumed through natural routes of ingestion by regular tea drinkers, but that it does have a positive effect on mood.


Assuntos
Afeto/fisiologia , Altitude , Desidratação/urina , Diurese/fisiologia , Fadiga/prevenção & controle , Montanhismo/fisiologia , Chá , Adaptação Fisiológica , Administração Oral , Adolescente , Adulto , Afeto/efeitos dos fármacos , Água Corporal/efeitos dos fármacos , Água Corporal/fisiologia , Cafeína/análise , Cafeína/farmacologia , Estudos Cross-Over , Desidratação/fisiopatologia , Desidratação/psicologia , Diurese/efeitos dos fármacos , Diuréticos/administração & dosagem , Ingestão de Líquidos/fisiologia , Feminino , Humanos , Concentração de Íons de Hidrogênio , Masculino , Pessoa de Meia-Idade , Soluções/administração & dosagem , Chá/química , Urina/química , Xantinas/análise , Xantinas/farmacologia
15.
J Math Biol ; 45(1): 57-78, 2002 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-12140691

RESUMO

Zero-lag synchronisation arises between points on the cerebral cortex receiving concurrent independent inputs; an observation generally ascribed to nonlinear mechanisms. Using simulations of cerebral cortex and Principal Component Analysis (PCA) we show patterns of zero-lag synchronisation (associated with empirically realistic spectral content) can arise from both linear and nonlinear mechanisms. For low levels of activation, we show the synchronous field is described by the eigenmodes of the resultant damped wave activity. The first and second spatial eigenmodes (which capture most of the signal variance) arise from the even and odd components of the independent input signals. The pattern of zero-lag synchronisation can be accounted for by the relative dominance of the first mode over the second, in the near-field of the inputs. The simulated cortical surface can act as a few millisecond response coincidence detector for concurrent, but uncorrelated, inputs. As cortical activation levels are increased, local damped oscillations in the gamma band undergo a transition to highly nonlinear undamped activity with 40 Hz dominant frequency. This is associated with "locking" between active sites and spatially segregated phase patterns. The damped wave synchronisation and the locked nonlinear oscillations may combine to permit fast representation of multiple patterns of activity within the same field of neurons.


Assuntos
Córtex Cerebral/fisiologia , Sincronização Cortical , Modelos Neurológicos , Neurônios/fisiologia , Simulação por Computador , Humanos , Análise Multivariada
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