Predictable transcranial magnetic stimulation suppresses corticospinal excitability: a TMS experiment

Motor skill learning plays a crucial role in human functioning and is often studied using transcranial magnetic stimulation (TMS) to assess corticospinal excitability (CSE). CSE, which reflects the motor system's responsiveness, is compared across experimental conditions to determine whether a factor facilitates or inhibits motor skill learning. However, variability in stimulation predictability may confound interpretation of CSE measures. In this study, we examined the impact of TMS predictability on CSE by comparing motor-evoked potential (MEP) responses under predictable and unpredictable conditions. Twenty right-handed participants underwent TMS-EMG recordings while observing either a predictable visual cue (a moving white bar) or an unpredictable visual cue (a static white bar). MEP amplitudes were recorded from the first dorsal interosseous (FDI) muscle and normalized across participants. Results showed that unpredictable TMS produced significantly larger MEP amplitudes compared to predictable stimulation. The findings suggest that the predictability of TMS substantially modulates CSE, potentially confounding the results in previous TMS studies on action observation and motor facilitation. Ensuring consistent stimulation predictability across experimental conditions is therefore essential for accurately interpreting TMS-induced CSE changes.

Authors

Institutions

Publication Details

Journal
Experimental Brain Research
Published
2025-05-04
DOI
https://doi.org/10.1007/s00221-025-07091-y
Citations
1
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
2.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictable transcranial magnetic stimulation suppresses corticospinal excitability: a TMS experiment

Elizabeth A. Franz, Napat Sriutaisuk
1 citations
Experimental Brain Research
Action Observation and Synchronization
2.44
article

Predictable transcranial magnetic stimulation suppresses corticospinal excitability: a TMS experiment

Elizabeth A. Franz, Napat Sriutaisuk
article en
1 citations

Abstract

Motor skill learning plays a crucial role in human functioning and is often studied using transcranial magnetic stimulation (TMS) to assess corticospinal excitability (CSE). CSE, which reflects the motor system's responsiveness, is compared across experimental conditions to determine whether a factor facilitates or inhibits motor skill learning. However, variability in stimulation predictability may confound interpretation of CSE measures. In this study, we examined the impact of TMS predictability on CSE by comparing motor-evoked potential (MEP) responses under predictable and unpredictable conditions. Twenty right-handed participants underwent TMS-EMG recordings while observing either a predictable visual cue (a moving white bar) or an unpredictable visual cue (a static white bar). MEP amplitudes were recorded from the first dorsal interosseous (FDI) muscle and normalized across participants. Results showed that unpredictable TMS produced significantly larger MEP amplitudes compared to predictable stimulation. The findings suggest that the predictability of TMS substantially modulates CSE, potentially confounding the results in previous TMS studies on action observation and motor facilitation. Ensuring consistent stimulation predictability across experimental conditions is therefore essential for accurately interpreting TMS-induced CSE changes.

Experimental Brain ResearchVol. 243(6)
Brain Research New Zealand (NZ), University of Otago (NZ)
University of Otago, Royal Society, Royal Society Te Apārangi, Marsden Fund
Quality Education
Openalex Percentile: Top 13%
Action Observation and Synchronization
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.