Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns
Bibliographic Data
| ID | 15519496 |
|---|---|
| Authors | Xiaodong Qu (0000-0001-7610-6475, Brandeis University), Saran Liukasemsarn (Harvard University), Jingxuan Tu (Brandeis University), Amy Higgins (McLean Hospital), Timothy J Hickey (0000-0002-4583-686X, Brandeis University), Mei‐Hua Hall (0000-0002-4558-7023, Harvard University, corresponding author), Mei-Hua Hall |
| Year | 2020 |
| Volume | 11 |
| Pages | 541659-541659 |
| Publication date | 2020-09-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2020.541659 |
| PMID | 33061914 |
| OpenAlex | W3088555883 |
| Language | EN |
| References cited | 57 |
The ML approach could be a robust tool to explore heterogeneity and facilitate the identification of neurobiological homogeneous subgroups in FEP
Electroencephalography · Psychiatry · Psychosis · Clinical Psychology · Complex Systems and Time Series Analysis · Functional Brain Connectivity Studies · Medicine · Mental Health Research Topics · Neuroscience · Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |