Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning
Bibliographic Data
| ID | 15529941 |
|---|---|
| Authors | Yang Wen (0000-0003-0561-6229, University of Electronic Science and Technology of China), Chuan Zhou (0000-0002-2919-3593, University of Electronic Science and Technology of China), Leiting Chen (University of Electronic Science and Technology of China), Yu Deng (0000-0001-6328-343X, King's College London), Martine Cleusix (University of Lausanne), Raoul Jenni (0000-0001-6479-5381, University Hospital of Lausanne), Philippe Conus (0000-0002-5832-1910, University of Lausanne), Kim Q Do (0000-0003-1968-1646, University Hospital of Lausanne), Lijing Xin (0000-0002-5450-6109, Ecole polytechnique fédérale de Lausanne, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Pages | 1075564-1075564 |
| Publication date | 2023-01-10 |
| 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.2022.1075564 |
| PMID | 36704734 |
| OpenAlex | W4315471589 |
| Language | EN |
| References cited | 67 |
We reveal the feasibility of automated cognitive estimation using sMRI by deep learning models, and also demonstrate the implicit adoption of cognitive measures as additional information to facilitate EP classifications from healthy controls
Bridging (networking · Cognition · Cognitive psychology · Deep learning · Machine learning · Psychiatry · Psychosis · Schizophrenia (object-oriented programming · Set (abstract data type · Advanced Neuroimaging Techniques and Applications · Computer Science · Functional Brain Connectivity Studies · Psychology · Schizophrenia research and treatment · Artificial Intelligence
The Matrics Consensus Cognitive Battery, Part 1
Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm
Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis
Using Multivariate Machine Learning Methods and Structural MRI to Classify Childhood Onset Schizophrenia and Healthy Controls
| Citation velocity | historical |
|---|---|
| Highly cited | No |