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… Expand
1 Citations
EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
TLDR
Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Expand

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