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Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series by Weizheng Yan; Min Zhao; Zening Fu; Godfrey D. Pearlson; Jing Sui; Vince D. Calhoun is a Medicine article available to read on EtoBox.
What is Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series about?
Background: Psychiatric disorders are categorized using self-report and observational information rather than biological data. There is also considerable symptomatic overlap between different types of psychiatric disorders, which makes diagnostic categorization and multi-class classification challenging. Methods: In this work, we propose a unified framework for supervised classification and unsupervised clustering of psychotic disorders using brain imaging data. A new multi-scale recurrent neural network (MsRNN) model was developed and applied to fMRI time courses (TCs) for multi-class classification. The high-level representations of the original TCs were then submitted to a tSNE clustering model for visualizing the group differences between disorders. A leave-one-feature-out approach was used for disorder-related biomarker identification. Results: When studying fMRI from schizophrenia, psychotic bipolar disorder, schizoaffective disorder, and healthy individuals, the accuracy of a 4-class classification reached 46%, significantly above chance. The hippocampus, supplementary motor area and paracentral lobule were discovered as the most contributing regional TCs in the multi-class
Who reads Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Weizheng Yan; Min Zhao; Zening Fu; Godfrey D. Pearlson; Jing Sui; Vince D. Calhoun
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)