David T. J. Liley

The paper identifies differences in stimulus-evoked EEG entropy reduction between cognitively normal Parkinson's disease patients and healthy controls, suggesting impaired cognitive function.

The paper uses MEG data to infer neural connectivity and dynamics during altered states of consciousness, finding correlations between consciousness levels and specific brain regions and dynamics.

This paper models EEG activity under xenon and nitrous oxide as alpha band relaxation oscillators, finding increased damping correlates with reduced alpha power and 1/f scaling.

This paper introduces a whole-brain imaging framework to identify neurophysiological mechanisms, applied to resting-state alpha rhythm, revealing key brain regions and their roles in modulating alpha power.

This paper proposes a model where resting EEG's alpha band activity and 1/fβ noise are explained by damped alpha oscillators with varying damping rates, showing that alpha blocking results from increased damping of the weakest mode.

The paper fits a neural population model to EEG spectra from 82 subjects to identify a simple mechanism for alpha blocking, finding that a single parameter explains the reduction in alpha rhythm upon eye opening.

The paper uses ARMA modeling to show alpha blocking is due to increased oscillatory damping, not neuronal desynchronisation, challenging existing views on alpha rhythm modulation.

This paper estimates parameters of a neural population model using EEG data and finds only one parameter related to inhibition is identifiable.

This study investigates the effects of NMDA-antagonist anesthetics Xe and N2O on cortical power changes using MEG and EEG source imaging, finding distinct frequency-specific patterns.

The paper investigates how changes in excitatory-inhibitory balance affect scale-free electrophysiological activity through oscillatory relaxation processes.