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Abstract
Oscillatory activity in the µ-frequency band (8–13 Hz) determines excitability in sensorimotor cortex. In humans, the primary motor cortex (M1) in the two hemispheres shows significant anatomical, connectional, and electrophysiological differences associated with motor dominance. It is currently unclear whether the µ-oscillation phase effects on corticospinal excitability demonstrated previously for the motor-dominant M1 are also different between motor-dominant and motor-non-dominant M1 or, alternatively, are similar to reflect a ubiquitous physiological trait of the motor system at rest. Here, we applied single-pulse transcranial magnetic stimulation to the hand representations of the motor-dominant and the motor-non-dominant M1 of 51 healthy right-handed volunteers when electroencephalography indicated a certain µ-oscillation phase (positive peak, negative peak, or random). We determined resting motor threshold (RMT) as a marker of corticospinal excitability in the three µ-phase conditions. RMT differed significantly depending on the pre-stimulus phase of the µ-oscillation in both M1, with highest RMT in the positive-peak condition, and lowest RMT in the negative-peak condition. µ-phase-dependency of RMT correlated directly between the two M1, and interhemispheric differences in µ-phase-dependency were absent. In conclusion, µ-phase-dependency of corticospinal excitability appears to be a ubiquitous physiological trait of the motor system at rest, without hemispheric dominance.
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1 University of Tübingen, Department of Neurology & Stroke, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Hertie Institute for Clinical Brain Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
2 University of Tübingen, Department of Neurology & Stroke, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Hertie Institute for Clinical Brain Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); Aalto University School of Science, Department of Neuroscience and Biomedical Engineering, Espoo, Finland (GRID:grid.5373.2) (ISNI:0000000108389418)