RC4 EEG beasts and where to find them – the Berlin Mobile Brain/Body Imaging Pipeline

Description

Mobile Brain/Body Imaging (MoBI, Gramann et al., 2011) is an integrative multi- method approach to investigate human brain activity, motor behavior, and other physiological data associated with cognitive processes that involve active behavior. Multimodal data analysis of high-density electroencephalography (EEG), motion capture (MoCap), and other data streams in MoBI setups is a complex task. Therefore, a plugin for EEGLAB (an EEG analysis toolbox for MATLAB), called “bemobil-pipeline”, was created to establish a comprehensive analysis pipeline. This includes moCap analysis, EEG analysis function wrapping, additional implementations, and storage of all parameters in the EEG data set structure. EEG source analysis using Independend Component Analysis (ICA) is discussed. Automatic data cleaning in the channel, time, and IC domain are used to make EEG preprocessing as objective as possible. A repetitive k-means clustering approach allows for objective group-level comparison of ICs. Other source analysis algorithms like Source-Power-Comodulation (SPoC), SpatioSpectral Decomposition (SSD), and Parametric Empirical Bayes (PEB+) are discussed. The functions can be downloaded at https://github.com/MariusKlug (work-in- progress).

Objectives

The goal is to get an overview of state-of-the-art EEG and MoBI analysis options.

Literature

  • Gramann, K., Gwin, J. T., Ferris, D. P., Oie, K., Jung, T. P., Lin, C. T., Liao, L. D., Makeig, S. (2011). Cognition in action: Imaging brain/body dynamics in mobile humans. Reviews in the Neurosciences, 22(6), 593–608. doi:10.1515/RNS.2011.047
  • Ojeda, A., Bigdely-Shamlo, N., & Makeig, S. (2014). MoBILAB: an open source toolbox for analysis and visualization of mobile brain / body imaging data, 8(March), 1–9. doi:10.3389/fnhum.2014.00121
  • Jungnickel, E., Gehrke, L., Klug, M., & Gramann, K. (2019). MoBI—Mobile Brain/Body Imaging. In Ayaz, H., & Dehais, F. (Ed.), Neuroergonomics: The Brain at Work and Everyday Life (1st ed.): Elsevier Academic Press. Preprint Link

Course location

Forum 2

Course requirements

None

Instructor information.

Instructor
Marius Klug


Affiliation

Berlin Mobile Brain/Body Imaging lab

Vita

Marius Klug studied Cognitive Science in Tübingen, Germany. He moved to Berlin for the job, not the city, and now works on his PhD in the Berlin Mobile Brain/Body Imaging lab doing something with fancy buzzwords like "neuro-", "Virtual Reality", and "machine learning".

Website

bpn.tu-berlin.de