| Autor: |
Chang-Le Chen, Tzung‐Jeng Hwang, Yu-Hung Tung, Li-Ying Yang, Yung-Chin Hsu, Chih‐Min Liu, Yi-Tin Lin, Ming-Hsien Hsieh, Chen-Chung Liu, Yi-Ling Chien, Hai‐Gwo Hwu, Wen-Yih Isaac Tseng |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
NeuroImage: Clinical, Vol 34, Iss , Pp 103003- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2213-1582 |
| DOI: |
10.1016/j.nicl.2022.103003 |
| Popis: |
Conceptualizing mental disorders as deviations from normative functioning provides a statistical perspective for understanding the individual heterogeneity underlying psychiatric disorders. To broaden the understanding of the idiosyncrasy of brain aging in schizophrenia, we introduced an imaging-derived brain age paradigm combined with normative modeling as novel brain age metrics. We constructed brain age models based on GM, WM, and their combination (multimodality) features of 482 normal participants. The normalized predicted age difference (nPAD) was estimated in 147 individuals with schizophrenia and their 130 demographically matched controls through normative models of brain age metrics and compared between the groups. Regression analyses were also performed to investigate the associations of nPAD with illness duration, onset age, symptom severity, and intelligence quotient. Finally, regional contributions to advanced brain aging in schizophrenia were investigated. The results showed that the individuals exhibited significantly higher nPAD (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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