Alignment to pulse onset establishes a common temporal reference for the stimulation-related signal. By matching the template to this point, researchers can compare its expected waveform with the recorded trace. Differences that reflect underlying neural activity can remain available for interpretation, while the matched artifact is targeted for reduction. This timing relationship is important when responses are analyzed relative to the TMS pulse.
The pulse’s electrical and electromagnetic components can dominate a neurophysiological recording for a short interval, making the underlying response difficult to inspect. A template captures this stimulation-related signature in relation to pulse timing, so the recorded waveform can be evaluated against it. Reducing this contamination improves access to the neural activity needed for downstream interpretation.
Effective correction depends on separating the stimulation signature from the neural signal rather than treating the entire post-pulse waveform as contamination. The template provides a reference for identifying portions of the recording that resemble the pulse-related artifact. This selective comparison helps minimize removal of genuine, time-locked brain activity, which is essential for interpreting evoked responses.
The core workflow is to align the reference model with pulse onset, compare it with the corresponding recorded waveform, and use that comparison to identify and reduce the stimulation-related artifact. After correction, the remaining signal can be examined for time-locked brain activity. This sequence directly links artifact handling to interpretation of TMS-evoked recordings.
Studies of cortical excitability, connectivity, and evoked responses can all benefit from artifact correction. Once the stimulation-related signal is reduced, researchers can more clearly assess responses that are time-locked to TMS rather than confusing them with the pulse itself. The approach is therefore relevant to evoked-response measurements and analyses of interactions among neural signals.
Reproducibility improves when the same pulse-locked reference is used to identify contamination across recordings. By making artifact detection and reduction more systematic, the template approach can limit differences caused by how stimulation-related waveforms are handled. This consistency supports more reliable comparison of TMS experiments examining cortical excitability, connectivity, or evoked responses.