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Updated: Jul 30, 2026

Utilizing Transcranial Magnetic Stimulation to Study the Human Neuromuscular System
Published on: January 20, 2012
Rostro-caudal TMS mapping of immediate transcranial evoked potentials reveals a pericentral crescendo-decrescendo
Marten Nuyts1, Mikkel Malling Beck2, Agata Banach2
1Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark, Kettegård Allé 30, 2650 Hvidovre, Denmark; REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium.
Background:
We recently demonstrated that single-pulse TMS of the primary sensorimotor hand area (SM1HAND) elicits an immediate transcranial evoked potential (iTEP). This iTEP response appears within 2-8 ms post-TMS, featuring high-frequency peaks superimposed on a slow positive wave. Here, we used a linear TMS-EEG mapping approach to characterize the rostro-caudal iTEP expression and compared it to that of motor-evoked potentials (MEPs).
Methods:
In 15 healthy young volunteers (9 females), we identified the iTEP hotspot in left SM1HAND. We applied single biphasic TMS pulses at an intensity of 110 % of resting motor threshold over six cortical sites along a rostro-caudal axis (2 cm rostral to 3 cm caudal to the SM1HAND hotspot). We analyzed site-specific iTEP and MEP responses.
Results:
iTEP magnitude decreased rostrally and caudally from the SM1HAND hotspot. MEPs exhibited a similar rostro-caudal crescendo-decrescendo pattern. While iTEP and MEP response profiles were similar, normalized iTEP amplitudes decayed less rapidly at the first postcentral site.
Discussion:
These findings support the idea that pericentral iTEPs reflect a direct response signature of the pericentral cortex, possibly involving a synchronized TMS-induced excitation of cortical pyramidal tract neurons. Similar but non-identical rostro-caudal patterns suggest that iTEPs and MEPs may arise from overlapping but distinct neuronal populations.

