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

Cite this