Maximilian Scherer

Inconsistent Subthalamic Beta Expression in the Local Field Potential amid In- and Anti-Phasic Neuronal Bursts.

This study quantifies beta LFP expression in Parkinson's patients and finds it is present in less than half, with implications for DBS guidance and the need for multiple biomarkers.

FiNNpy 2.0: Fast MEG source reconstruction

FiNNpy 2.0 adds MEG source reconstruction with optimized speed and improved usability features.

Direct Modulation Index: a measure of phase amplitude coupling for neurophysiology data

This paper introduces a new measure, direct modulation index (dMI), for phase-amplitude coupling in neurophysiology data, showing improved accuracy and robustness compared to existing methods.

Single-neuron bursts encode pathological oscillations in Parkinson's disease and essential tremor

This study links single-neuron bursting to pathophysiological LFP oscillations in Parkinson's disease and essential tremor using intracranial recordings.

Directional Absolute Coherence: a phase-based measure of effective connectivity for neurophysiology data

This paper introduces a new effective connectivity measure called directional absolute coherence (DAC) and demonstrates its reliability in estimating neural communication direction and magnitude.

FiNN: A toolbox for neurophysiological network analysis

FiNN is a Python toolbox for neurophysiological network analysis that offers efficient data processing and visualization tools, outperforming existing frameworks in speed and memory usage.

Risks in signal processing pipelines influencing the estimation of phase dependency for EEG-TMS

The paper investigates how signal processing pipelines affect phase dependency estimation in TMS-EEG studies and recommends best practices to improve reliability.