I'm a researcher in Neuroscience and Signal Processing working on analyzing brain connectivity and source localization from EEG/MEG data. I previously did research at Technical University of Berlin. My work focuses on developing novel methods for studying functional and effective connectivity between brain regions using advanced signal processing techniques.
My research has contributed several key methodological advances in the field, including the Self-Consistent MUSIC algorithm for improved source localization, new approaches for analyzing brain oscillation waveshapes using bicoherence, and objective quality assessment methods for stereoscopic images using EEG. I have a particular interest in addressing the challenges of volume conduction artifacts when studying brain connectivity patterns.
Through my work, I aim to better understand how different brain areas communicate and coordinate with each other during cognitive tasks and perception. This involves developing mathematical frameworks and computational tools that can more accurately identify true interactions between brain regions from noninvasive electromagnetic recordings. My research combines elements of signal processing, machine learning to advance our ability to study large-scale brain networks.
Publications
Analyzing the waveshape of brain oscillations with bicoherence
Sarah Bartz, F. S. Avarvand, G. Leicht, G. Nolte
NeuroImage 2019
Localizing bicoherence from EEG and MEG
F. S. Avarvand, Sarah Bartz, C. Andreou, W. Samek, G. Leicht, C. Mulert, A. Engel, G. Nolte
NeuroImage 2018
Quality assessment of 3D visualizations with vertical disparity: An ERP approach
F. S. Avarvand, S. Bosse, G. Nolte, T. Wiegand, W. Samek
Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2017
Objective quality assessment of stereoscopic images with vertical disparity using EEG
F. S. Avarvand, S. Bosse, K. Müller, Ralf Schäfer, G. Nolte, T. Wiegand, G. Curio, W. Samek
Journal of Neural Engineering 2017
The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis
M. Treder, Anne Porbadnigk, F. S. Avarvand, K. Müller, B. Blankertz
NeuroImage 2016
Self-Consistent MUSIC: An approach to the localization of true brain interactions from EEG/MEG data
F. S. Avarvand, A. Ewald, G. Nolte
NeuroImage 2015
Wedge MUSIC: A novel approach to examine experimental differences of brain source connectivity patterns from EEG/MEG data
A. Ewald, F. S. Avarvand, G. Nolte
NeuroImage 2014
Music algorithm to localize sources with unknown directivity in acoustic imaging
F. S. Avarvand, A. Ziehe, G. Nolte
IEEE International Conference on Acoustics, Speech, and Signal Processing 2011
Measuring the Quality of 3D Visualizations using EEG: a Time-frequency Approach
F. S. Avarvand, S. Bosse, G. Nolte, T. Wiegand, W. Samek
Graz Brain-Computer Interface Conference 2017
Self-Consistent MUSIC algorithm to localize multiple sources in acoustic imaging 4 TH BERLIN BEAMFORMING CONFERENCE
F. S. Avarvand, A. Ziehe, G. Nolte