Sentence examples for medication state and from inspiring English sources

Repeated measures ANOVAs were used to quantify the effects of medication state and phase locking duration on median change in beta amplitude envelope.

Of note, we did not find the interaction between medication state and picking the best compared with avoiding the worst stimulus that has been reported in some previous studies (Frank et al., 2004, 2007 b ; Voon et al., 2010).

Thus, this design enabled us to explore the effect of dopamine on behaviour and on the brain by testing patients in three different drug states: acquisition and performance ON medication; acquisition and performance OFF medication and acquisition in an OFF medication state and performance in an ON medication state.

Subjects who acquired the contingencies in an OFF medication state and received their dopamine replacement therapy after the acquisition phase, but before the performance phase, had the same level of overall accuracy as subjects who both acquired the contingencies ON medication and performed ON medication [paired t-test comparing ON ON with OFF ON, t(1,12) = −0.03, P = 0.97].

We also elected to assess the strength of correlations between motor impairment and CV in the lower and upper beta frequency band, and to investigate this both with respect to the off medication state and change with medication, — aspects not explored with the Lempel Ziv complexity.

The method involves two linear programming (LP) models to find the steady optimal fluxes of reactions and the mass flows of metabolites in both pathologic state and medication state, meanwhile taking the side effects of drug action into account.

Such an extended model allows us to track the change of mass flow of metabolites in the pathologic state and medication state.

We investigated the relationship between time related fluctuations in the amplitude of the beta band signal and motor impairment, as indexed by the motor UPDRS, in the off medication state at rest and in response to levodopa treatment in two independent archival datasets; an intraoperative off medication rest dataset and a post-operative dataset which included data from on and off medication.

After we obtain the flux vector of reactions v in the pathologic state and the flux vector of reactions v in the medication state, by comparing v and v, we can easily find the reactions whose flux has been changed by medication.

To examine an interaction between disease severity (UPDRS) and medication state, a contrast of [0 0 0 0 1 −1] was used.

The effects of PD were revealed by the interaction between UPDRS and medication state ("on" vs. "off").