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Updated: Jul 16, 2026
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
Cross-correlation analysis of the correspondence between magnetoencephalographic and near-infrared cortical signals
T H Sander1, A Liebert, M Burghoff
11Physikalisch-Technische Bundesanstalt, Division of Medical Physics, Berlin, Germany. tilmann.sander-thoemmes@ptb.de
Objectives:
The study of neurovascular coupling greatly benefits from combined measurements of neuronal and vascular signals. Two-step signal processing is developed to extract parameters describing the coupling.
Methods:
Using a magnetometer in an extremely well shielded room a broadband magnetoencephalogram was simultaneously measured with time-resolved near-infrared spectroscopy during a motor activity paradigm. The raw MEG and NIRS data were denoised separately using independent component analysis.
Results:
After averaging the resulting signals showed motor activity-related changes. The temporal correspondence between MEG and NIRS was assessed plotting a combined trajectory and calculating a cross-correlation. Compared to the MEG signal, at movement onset the NIRS signal showed an onset delay in the range of seconds.
Conclusions:
Multi-variate signal pre-processing followed by temporal delay estimates demonstrated the extraction of neurovascular coupling parameters.
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