Module control of network analysis in psychopathology
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866909234147360768 |
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| author | Pan, Chunyu Zhang, Quan Zhu, Yue Kong, Shengzhou Liu, Juan Zhang, Changsheng Wang, Fei Zhang, Xizhe |
| author_facet | Pan, Chunyu Zhang, Quan Zhu, Yue Kong, Shengzhou Liu, Juan Zhang, Changsheng Wang, Fei Zhang, Xizhe |
| contents | The network approach to characterizing psychopathology departs from traditional latent categorical and dimensional approaches. Causal interplay among symptoms contributed to dynamic psychopathology system. Therefore, analyzing the symptom clusters is critical for understanding mental disorders. Furthermore, despite extensive research studying the topological features of symptom networks, the control relationships between symptoms remain largely unclear. Here, we present a novel systematizing concept, module control, to analyze the control principle of the symptom network at a module level. We introduce Module Control Network (MCN) to identify key modules that regulate the network's behavior. By applying our approach to a multivariate psychological dataset, we discover that non-emotional modules, such as sleep-related and stress-related modules, are the primary controlling modules in the symptom network. Our findings indicate that module control can expose central symptom cluster governing psychopathology network, offering novel insights into the underlying mechanisms of mental disorders and individualized approach to psychological interventions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_00042 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Module control of network analysis in psychopathology Pan, Chunyu Zhang, Quan Zhu, Yue Kong, Shengzhou Liu, Juan Zhang, Changsheng Wang, Fei Zhang, Xizhe Neurons and Cognition Social and Information Networks Systems and Control The network approach to characterizing psychopathology departs from traditional latent categorical and dimensional approaches. Causal interplay among symptoms contributed to dynamic psychopathology system. Therefore, analyzing the symptom clusters is critical for understanding mental disorders. Furthermore, despite extensive research studying the topological features of symptom networks, the control relationships between symptoms remain largely unclear. Here, we present a novel systematizing concept, module control, to analyze the control principle of the symptom network at a module level. We introduce Module Control Network (MCN) to identify key modules that regulate the network's behavior. By applying our approach to a multivariate psychological dataset, we discover that non-emotional modules, such as sleep-related and stress-related modules, are the primary controlling modules in the symptom network. Our findings indicate that module control can expose central symptom cluster governing psychopathology network, offering novel insights into the underlying mechanisms of mental disorders and individualized approach to psychological interventions. |
| title | Module control of network analysis in psychopathology |
| topic | Neurons and Cognition Social and Information Networks Systems and Control |
| url | https://arxiv.org/abs/2407.00042 |