Multifractal analysis of resting state fMRI series in default mode network: age and gender effects
Multifractal analysis of resting state fMRI series in default mode network: age and gender effects
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默认模式网络中静息态 fMRI 系列的多重分形分析：年龄和性别影响
DOI：
10.1007/s11434-014-0355-x
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发表时间：
2014-09-01
影响因子：
--
通讯作者：
Ben, De
中科院分区：
文献类型：
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作者：
Ni, Huangjing;Huang, Xiaolin;Ben, De
缺省模式网络(DMN)静息状态的年龄相关性变化可能为正常脑的发育机制以及某些神经精神障碍的早期诊断和治疗提供新的线索。多重分形理论在功能磁共振成像(FMRI)信号中的应用近年来引起了越来越多的关注。本文旨在探讨DMN提取的静息功能磁共振序列背后的多重分维特征，主要讨论两个问题：(1)是否存在多重分维；(2)是否可以利用多重分维特征区分不同的年龄或性别。结果表明，DMN的rS-fMRI序列具有多重分形性。此外，我们提出的一种改进措施可以成功地检测出年轻受试者和中老年受试者之间的细微差异。此外，年轻受试者的rS-fMRI序列具有较小的平均标度指数和较弱的长程相关性，而中老年人的rS-fMRI序列则表现出平均标度指数的增加和较强的长程相关性。而男性组和女性组之间无显著统计学差异。因此，我们的结果突出了多重分形分析在特定脑区fMRI序列中的潜在用途，并为DMN的健康老龄化提供了重要的见解。
Age-related changes of resting state in default mode network (DMN) may provide new clues to the developing mechanism of normal brain as well as early diagnosis and therapy of some neuropsychiatric disorders. The application of multifractal theory to functional magnetic resonance imaging (fMRI) signals has recently raised increasing attention. We aim to explore the multifractal characteristics underlying the resting state functional magnetic resonance imaging (rs-fMRI) series extracted from DMN, and two issues are mainly discussed: (1) whether there exist multifractals in rs-fMRI series; (2) whether it is possible to distinguish between the different ages or genders by means of multifractal characteristics. Results demonstrated the existence of multifractals in rs-fMRI series in DMN. In addition, slight differences between young subjects and middle-aged or elderly subjects can be successfully detected by , a modified measure we proposed. Furthermore, it is revealed that the rs-fMRI series from young subjects possess smaller averaged scale index and weaker long range correlation, while those from middle-aged or elderly people present increasing averaged scale index and stronger long range correlation. Whereas no significant statistical differences has been found between male and female group. Our results, therefore, highlight the potential usefulness of multifractal analysis in fMRI series of a certain brain region, and provide important insights into healthy aging in DMN.