• DOI:10.3389/fpsyt.2020.541659
Corpus ID: 221765110

Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns

@article{Qu2020IdentifyingCA,
  title={Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns},
  author={Xiaodong Qu and Saran Liukasemsarn and Jingxuan Tu and Amy Higgins and T. Hickey and Mei-Hua Hall},
  journal={Frontiers in Psychiatry},
  year={2020},
  volume={11}
}

• Xiaodong Qu, S. Liukasemsarn, +3 authors M. Hall
• Published 2020
• Medicine
• Frontiers in Psychiatry

Objective The mismatch negativity (MMN) is considered as a promising biomarker that can inform future therapeutic studies. However, there is a large variability among patients with first episode psychosis (FEP). Also, most studies report a single electrode site and on comparing case–control group differences. Few have taken advantage of the full wealth of multi-channel EEG signals to examine observable patterns. None, to our knowledge, have used machine learning (ML) approaches to investigate… Expand