Christina Stier

The paper uses MEG and cortical maps to predict neural activity patterns across age, linking them to anatomical and molecular features.

This paper reports on respiration-modulated changes in excitation-inhibition balance and interictal spike timing in a focal epilepsy patient using MEG.

The paper identifies neurophysiological markers of cortical hierarchy and shows how these markers change with age using MEG data from 350 participants.

This study uses MEG time-series analysis to identify neural markers predictive of age, finding that temporal autocorrelation in specific brain regions is the most robust predictor.

This paper introduces new features for characterizing brain states using MEG data and shows they outperform traditional frequency-based features in classification across participants.

The paper examines age-related changes in neuromagnetic signals and their relationship with cortical thickness across adulthood, finding frequency-specific patterns and sex differences.