Oliver Kohl

Robust and replicable effects of ageing on resting state brain electrophysiology measured with MEG.

This paper estimates the full-frequency whole-head profile of age effects on resting-state MEG and shows the effect is replicable and robust across datasets and covariates.

Role of GABA and NMDA receptors in shaping cortical timescales and large-scale network dynamics

This study manipulates GABA and NMDA receptors in humans to show that GABAergic inhibition increases neuronal timescales and alters large-scale network dynamics.

Effects of age on resting-state cortical networks

This study examines how age affects resting-state cortical networks using MEG data from 612 healthy adults, finding age-related changes in oscillatory power and coherence, and dynamic network dynamics.

The GLM-Spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling

The paper introduces the GLM-Spectrum framework for analyzing power spectra with confound and covariate modeling, showing its ability to quantify condition differences and age effects in EEG data.

Dynamic Network Analysis of Electrophysiological Task Data

The paper compares HMM and DyNeMo for analyzing task-related oscillatory brain activity, showing DyNeMo detects more task activations than traditional methods.

Visual processing speed is linked to functional connectivity between right frontoparietal and visual networks

The paper links visual processing speed to functional connectivity between right frontoparietal and visual networks using resting-state fMRI and mathematical modeling.