Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD.

Journal: Journal of affective disorders
Published Date:

Abstract

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major depression disorder (MDD), particularly for treatment-resistant cases. However, identifying translatable biomarkers predictive of treatment outcomes remains underexplored.

Authors

  • Alexander Arteaga
    Department of Bioengineering, Lehigh University, Bethlehem, PA, USA.
  • Xiaoyu Tong
    Department of Radiology, First Affiliated Hospital of Dalian Medical University, Shahekou District, Lianhe Road, Dalian, Liaoning, China (S.W., X.T., Y.F., M.H., Y.L., X.F.).
  • Kanhao Zhao
    Department of Bioengineering, Lehigh University, Bethlehem, PA, USA.
  • Nancy B Carlisle
    Department of Psychology, Lehigh University, Bethlehem, PA 18015, USA. Electronic address: nbc415@lehigh.edu.
  • Desmond J Oathes
    Center for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, PA, USA.
  • Gregory A Fonzo
    Center for Psychedelic Research and Therapy, Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: gfonzo@austin.utexas.edu.
  • Corey J Keller
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA. ckeller1@stanford.edu.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.

Keywords

No keywords available for this article.