Using data from the CHSA baseline, five and 10 year visits a mathematical model of change in cognitive states, (the dynamic model of cognitive transition) was produced [7].
Despite these trait-like aspects, functional connectivity varies over time and with changes in cognitive state.
Changes in cognitive state, daily functioning, quality of life, constipation, and other adverse events were assessed.
However, the relatively large individual variability in EEG dynamics relating to loss of alertness implies that for many subjects, group statistics may not be useful to accurately predict changes in cognitive states.
Changes in cognitive states were described with high accuracy (R2 = 0.96) by a modified Poisson distribution, using four parameters: the background chance of accumulating additional errors, the chance of incurring more or fewer errors, given the existing number, and the corresponding background and incremental chances of dying.
Our findings suggest that even slight differences in cognitive states between groups can have an effect on BPND, presumably mediated by changes in endogenous dopamine concentration.
Cognitive judgement bias tasks have been proposed as a method for assessing underlying affective state and so we used this approach to identify if any change in clinical signs during treatment was associated with a consistent change in cognitive bias (affective state).
In this study, therefore, we compared changes in cognitive function, state anxiety, and objectively measured sleep propensity in the daytime after two consecutive night shifts and after four consecutive night shifts.
The group that did stretching and toning displayed no significant change in cognitive performance over time.
Furthermore, since the brain activity captured during each individual trial is referenced to a time period immediately preceding that same trial, any changes in the subject's cognitive state (e.g. changes in attention) over the course of 50 trials, is controlled for.
