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Motion related artefacts in EEG predict neuronally plausible patterns of activation in fMRI data

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Academic year: 2020

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Figure

Fig. 1. Method used to derive the theta predictor. A) EEG theta (4–8 Hz) signal fluctuations over 30 s (blue, solid line) and associated Hilbert envelope (red, dashed line), recorded atCz
Fig. 2. The theta regressor (not convolved with the cHRF) the foot movement task (red line) for a representative participant
Table 1
Fig. 3. Fixed effects analysis results for the foot movement (n=4; top row) and episodic memory (n=4; bottom row) task for GLM regressors that were not convolved with thecHRF
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