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A Systematic Review and Large-Scale tES and TMS Electric Field Modeling Study Reveals How Outcome Measure Selection Alters Results in a Person- and Montage-Specific Manner.

Sybren Van HoornwederMarten NuytsJoana FrieskeStefanie VerstraelenRaf L J MeesenKevin A Caulfield
Published in: bioRxiv : the preprint server for biology (2023)
The choice of outcome measures meaningfully alters the interpretation of tES and TMS E-field models. Well-considered outcome measure selection is imperative for accurate interpretation of results, valid between-study comparisons, and depends on stimulation focality and study goals. We formulated four recommendations to increase the quality and rigor of E-field modeling outcome measures. With these data and recommendations, we hope to guide future studies towards informed outcome measure selection, and improve the comparability of studies.
Keyphrases
  • public health
  • machine learning
  • transcranial magnetic stimulation
  • high resolution
  • big data
  • clinical practice
  • mass spectrometry
  • data analysis