Britta U. Westner

This study links white matter microstructure to electrophysiological timing and naming performance by analyzing diffusion, electrophysiological, and behavioral data.

This study uses EEG source reconstruction with a language paradigm to examine hemispheric dominance changes in stroke patients over time.

The paper compares neural processing of object and action words using EEG, finding spatial and spectral differences in brain areas involved in word retrieval.

This study compares oscillatory patterns in EEG data during episodic memory and word retrieval tasks, finding similarities in right parietal regions and differences in other areas.

This study identifies electrophysiological correlates of lucid dreaming using EEG data from multiple labs, finding source-level changes in gamma1 and alpha power.

The paper investigates neural adaptation to familiar images in autistic adolescents and finds no significant difference in behavioral or neural responses compared to non-autistic adolescents.

This paper introduces a new analysis scheme to improve the robustness of non-invasive functional connectivity assessment by addressing signal leakage and baseline assumptions.

This paper introduces a method combining CSP and beamformer source reconstruction for decoding M/EEG oscillatory activity, achieving performance comparable to source space decoding with lower computational cost.

This study uses MEG and machine learning to classify intertrial phase coherence in language processing across age, finding significant differences in neural circuits across frequency bands and processing types.

This study uses optically pumped magnetometers to record human retinal activity and compares it to electroretinograms, finding significant shared information and potential for contactless retinal activity recording.

This study compares LCMV beamformer implementations across four MEG toolboxes, finding reliable source localization at typical SNR but differences in sensitivity to preprocessing parameters and SNR effects.

The paper investigates retinocortical interactions during dark and light stimulus processing, finding that darks propagate faster with narrow-band high-frequency coupling, while lights use wide-band coupling.

This paper decodes stimulus modality from single-trial MEG high frequency activity across subjects using beamformer source reconstruction and random forest classification, achieving 66.44% accuracy.