Aron T. Hill

The paper shows that targeted artifact cleaning in EEG improves signal preservation and reduces effect size inflation and source localization biases compared to traditional methods.

The paper examines EEG data from children during facial emotion processing to find links between neural activity patterns and autistic traits.

This study examines neural differences in conflict monitoring and attention between meditators and non-meditators using ERP measurements, finding enhanced N2 responses in meditators during hard Nogo trials.

RELAX-Jr is an automated EEG pre-processing pipeline designed for children's data, showing strong cleaning performance across multiple metrics compared to existing pipelines.

This study finds that experienced meditators have stronger forward traveling cortical alpha waves and weaker backward traveling alpha waves compared to non-meditators during rest and a cognitive task.

The paper analyzes EEG data from meditators and non-meditators to identify time-series features that distinguish meditators, finding higher temporal stability in a specific EEG component.

This study uses TMS-EEG to show that mindfulness meditators have altered excitation/inhibition balance in the dorsolateral prefrontal cortex compared to controls.

The paper examines neural activity differences between meditators and non-meditators during an attentional-blink task, finding some attention-related neural changes but no improvement in task accuracy.

This study investigates the link between resting state aperiodic activity and social communication difficulties in young neurotypical adults, finding no significant predictive associations after correction.

RELAX is an automated EEG preprocessing pipeline that effectively reduces artifacts while preserving neural signals, outperforming existing methods in blink and muscle artifact removal.

This paper evaluates the RELAX pipeline for cleaning EEG data before ERP analysis, finding it effective and reliable for artifact reduction and ERP estimation.

The paper investigates whether experienced meditators show differences in neural activity related to performance monitoring and error-processing using EEG, finding larger global field potentials in the Pe for meditators but with mixed statistical significance.

The paper examines if right anterior theta connectivity predicts autistic traits in neurotypical children and finds it is a significant predictor.

The paper examines age-related changes in periodic and aperiodic EEG activity in children aged 4-12 using linear regression models.

This study investigates GABA-mediated cortical inhibition in adults with ASD using TMS-EEG and finds no group differences in N100 amplitude or latency, or in long interval cortical inhibition.

This study assesses the feasibility of using cerebellar TMS-EEG to explore cerebellar-cerebral network dynamics, finding that artefacts and sensory contamination complicate interpretation of early latency signals.

This study finds that mindfulness meditators show improved working memory accuracy with different brain activation patterns, but no differences in oscillation activity during the memory delay.