Time-frequency analysis of event-related brain recordings: Connecting power of evoked potential and inter-trial coherence
Jonas Benhamou, Michel Le Van Quyen, Guillaume Marrelec

TL;DR
This paper establishes a theoretical and empirical relationship between three key measures in time-frequency analysis of brain recordings, enhancing understanding of evoked brain rhythms and refining neuroscientific analysis tools.
Contribution
It derives a novel theoretical relationship connecting POWavg, ITC, and avgAMP, validated through simulations and real data analysis.
Findings
POWavg and ITC are approximately related by POWavg ≈ avgAMP² × ITC².
Derived exact expressions for the relationship using the S-transform.
Confirmed the theoretical relationship with experimental brain recording data.
Abstract
Objective. In neuroscience, time-frequency analysis has been used to get insight into brain rhythms from brain recordings. In event-related protocols, one applies it to investigate how the brain responds to a stimulation repeated over many trials. In this framework, three measures have been considered: the amplitude of the transform for each single trial averaged across trials, avgAMP; inter-trial phase coherence, ITC; and the power of the evoked potential transform, POWavg. These three measures are sensitive to different aspects of event-related responses, ITC and POWavg sharing a common sensitivity to phase resetting phenomena. Methods. In the present manuscript, we further investigated the connection between ITC and POWavg using theoretical calculations, a simulation study and analysis of experimental data. Results. We derived exact expressions for the relationship between POWavg and…
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