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} }
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…
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