FieldTrip made easy: An analysis protocol for group analysis of the auditory steady state brain response in time, frequency, and space
Source
Frontiers in Neuroscience, 12, (2018), article 711ISSN
Publication type
Article / Letter to editor
Related datasets
Display more detailsDisplay less details
Organization
PI Group Neuronal Oscillations
PI Group MR Techniques in Brain Function
PI Group Neurobiology of Language
Journal title
Frontiers in Neuroscience
Volume
vol. 12
Languages used
English (eng)
Subject
110 000 Neurocognition of Language; 150 000 MR Techniques in Brain FunctionAbstract
The auditory steady state evoked response (ASSR) is a robust and frequently utilized phenomenon in psychophysiological research. It reflects the auditory cortical response to a frequency modulated auditory stimulus. The present report provides a concrete example of a group analysis of the EEG data from 29 healthy human participants, recorded during an ASSR paradigm, using the FieldTrip toolbox. First, we demonstrate sensor-level analysis in the time domain, allowing for a description of the event-related potentials (ERPs), as well as their statistical evaluation. Second, frequency analysis is applied to describe the spectral characteristics of the ASSR, followed by group level statistical analysis in the frequency domain. Third, we show how time- and frequency-domain analysis approaches can be combined in order to describe the temporal and spectral development of the ASSR. Finally, we demonstrate source reconstruction techniques to characterize the primary neural generators of the ASSR. Throughout, we pay special attention to explaining the design of the analysis pipeline for single subjects and for the group level analysis. The pipeline presented here can be adjusted to accommodate other experimental paradigms and may serve as a template for similar analyses.
This item appears in the following Collection(s)
- Academic publications [242839]
- Donders Centre for Cognitive Neuroimaging [3963]
- Electronic publications [129630]
- Open Access publications [104203]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.