Disease-specific network pattern of perinatal depression revealed by Common Orthogonal Basis Extraction
University of Electronic Science and Technology of China
Abstract
The clinical diagnosis of perinatal depression (PD) presents considerable challenge, as it is much harder to identify than non-perinatal depression. Psychologically, common emotional fluctuations during pregnancy are easily confounded with depressive symptoms, leading to missed and incorrect diagnoses. Neurologically, pregnancy-induced alterations in brain activity could obscure neuroimaging features specific to PD. Therefore, this study introduced an innovative approach that combined brain network analysis with Common Orthogonal Basis Extraction (COBE) to identify a PD-Specific Network Pattern from resting-state brain networks, as well as validating its efficacy in diagnosis and assessment. Resting-state…
Citation impact
- FWCI
- 97.13
- Percentile
- 100%
- References
- 30
Authors
14Topics & keywords
- Neuroimaging
- Electroencephalography
- Support vector machine
- Artificial neural network
- Pattern recognition (psychology)
- Identification (biology)
- Depression (economics)
- Good health and well-being