| Autor: |
Da Chang, Xiu Wang, Yaojing Chen, Zhuo Rachel Han, Yin Wang, Bing Liu, Zhanjun Zhang, Xi-Nian Zuo |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMC Neuroscience, Vol 25, Iss 1, Pp 1-10 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2202 |
| DOI: |
10.1186/s12868-024-00916-6 |
| Popis: |
Abstract Background Entropy trajectories remain unclear for the aging process of human brain system due to the lacking of longitudinal neuroimaging resource. Results We used open data from an accelerated longitudinal cohort (PREVENT-AD) that included 24 healthy aging participants followed by 4 years with 5 visits per participant to establish cortical entropy aging curves and distinguish with the effects of age and cohort. This reveals that global cortical entropy decreased with aging, while a significant cohort effect was detectable that people who were born earlier showed higher cortical entropy. Such entropy reductions were also evident for large-scale cortical networks, although with different rates of reduction for different networks. Specifically, the primary and intermediate networks reduce their entropy faster than the higher-order association networks. Conclusions Our study confirmed that cortical entropy decreases continually in the aging process, both globally and regionally, and we conclude two specific characteristics of the entropy of the human cortex with aging: the shift of the complexity hierarchy and the diversity of complexity strengthen. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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