Florian H. Kasten

This study uses tACS to test if beta-oscillations causally maintain perception-action representations, finding an aftereffect on binding performance only with short prime-probe intervals.

This study uses tACS to manipulate neural speech tracking in multi-speaker scenarios and finds that both target and distractor tracking modulate speech perception, with cutaneous stimulation also causing similar phase effects.

The paper shows that opposing neural processing modes alternate rhythmically during sustained auditory attention, linked to speech processing and target detection.

This study analyzes the effects of tACS on brain oscillations and aperiodic 1/f activity using spectral parameterization, finding that the aftereffect persists even after correcting for 1/f activity.

The paper investigates how task difficulty modulates the P3m component using MEG and identifies its sources in centro-parietal regions.

This study characterizes low-frequency artifacts during tTIS and shows that neurophysiological data can be acquired without stimulation artifacts at low-frequencies with appropriate hardware.

This study uses Hidden Markov Models to analyze tACS-MEG data and finds that only one of four brain states is susceptible to tACS effects.

The paper integrates electric field modeling with neuroimaging to show that individual electric field differences predict variability in tACS effects on brain oscillations.

This study shows that non-linearities in stimulation and recording hardware create spurious low-frequency artifacts during AM-tACS, which can be mistaken for true neural effects.

This study uses tACS-MEG to show that tACS enhances pre-existing alpha band power modulations during a mental rotation task without counteracting intrinsic oscillations.