Machine learning and individual variability in electric field characteristics predict tDCS treatment response

Alejandro Albizu, Ruogu Fang, Aprinda Indahlastari, Andrew O'Shea, Skylar E. Stolte, Kyle B. See, Emanuel M. Boutzoukas, Jessica N. Kraft, Nicole R. Nissim, Adam J. Woods

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1753-1764
Number of pages12
JournalBrain Stimulation
Volume13
Issue number6
DOIs
StatePublished - Nov 1 2020
Externally publishedYes

ASJC Scopus Subject Areas

  • General Neuroscience
  • Biophysics
  • Clinical Neurology

Keywords

  • Cognitive aging
  • Finite element modeling
  • Machine learning
  • Transcranial direct current stimulation
  • Treatment response
  • tDCS

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