Research

My main interest is in developing novel methods for the analysis of MEG and EEG data with applications in cognitive neuroimaging. My scientific contributions include signal processing, source reconstruction, connectivity analysis and statistical analysis. Furthermore, I am interested in improving the methodological aspects of cognitive neuroimaging at the meta level: I contribute to the dissemination of state-of-the-art analysis methods by developing open-source software, by data sharing and by organizing educational and scientific workshops.

My contributions to the methodological advancement of the field of non-invasive electrophysiology are exemplified by FieldTrip, a project that I started about 10 years ago and that I have been heading since. To strengthen the MEG and EEG research community, I am not managing FieldTrip only as a data analysis toolbox, but also as a platform for the exchange of ideas and expertise.

Selection of my projects

FieldTrip – the MATLAB software toolbox for MEG and EEG analysis (2004-now)

EEGsynth – creating sound, light and music from EEG, ECG and EMG (2015-now)

Donders Repository – institutional research data management and data sharing (2014-now)

ChildBrain – Horizon 2020 (2015-2019), see details.

BrainSynth – Innovativ Kultur (2015-2016), see details.

Human Connectome Project – NIH Blueprint (2011-2015).

BrainGain – SmartMix (2007-2012), see details.

Further details on my published works

Google Scholar: eEbaa0UAAAAJ

ORCID-ID: 0000-0002-1974-1293

ResearcherID: D-3259-2009

Scopus Author ID: 6602927779

ResearchGate: Robert_Oostenveld

GitHub: robertoostenveld