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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Effects of electric field direction on TMS-based motor cortex mapping.

Ying Jing1,2,3, Ole Numssen1,2,4, Gesa Hartwigsen2,5

  • 1Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

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Summary

This study found that electric field magnitude, not just its direction, is key for predicting brain responses during transcranial magnetic stimulation (TMS) motor mapping. The magnitude model and a neuron model performed best for mapping cortical excitability.

Keywords:
TMS mappingaverage response modelelectrical field modelingmotor cortextranscranial magnetic stimulation

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Area of Science:

  • Neuroscience
  • Biophysics
  • Computational modeling

Background:

  • Transcranial magnetic stimulation (TMS) is used for brain mapping, but predicting cortical responses is challenging.
  • Current TMS motor mapping often uses electric field (E-field) magnitude or its normal component, neglecting neuronal factors.

Purpose of the Study:

  • To refine TMS motor mapping by developing a model incorporating both E-field magnitude and directional sensitivity.
  • To compare the performance of different E-field models in predicting cortical excitability and motor-evoked potentials (MEPs).

Main Methods:

  • Conducted regression-based TMS mapping in 14 participants targeting the first dorsal interosseous (FDI) muscle.
  • Estimated neuronal firing thresholds and regressed MEPs against E-field magnitude, normal component (cosine), and an orientation-adjusted effective E-field (neuron model).
  • Validated models using optimized coil placements in 10 additional participants.

Main Results:

  • The E-field magnitude and neuron models showed similar, robust performance in predicting MEPs.
  • The cosine model explained less variance, required more TMS pulses, and yielded weaker MEPs.
  • E-field magnitude was identified as the dominant factor in motor cortex activation.

Conclusions:

  • E-field magnitude is a primary driver of motor cortex activation during TMS.
  • While neuronal orientation plays a role, it is secondary to E-field magnitude for accurate TMS motor mapping.
  • The findings suggest improved models for TMS-based neurostimulation and mapping.