Complexity analysis of resting state fMRI signals in depressive patients

Pei Shan Ho, Chemin Lin, Guan Yen Chen, Ho Ling Liu, Chih-Mao Huang, Tatia Mei Chun Lee, Shwu Hua Lee, Shun Chi Wu

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Analysis of brain signal complexity reveals the intrinsic network dynamics and is widely utilized in the investigation of mechanisms in mental disorders. In this study, the complexity of resting-state functional magnetic resonance imaging (fMRI) signals was explored in patients with depression using multiscale entropy (MSE). Thirty-five patients diagnosed with depression and 22 age-and gender-matched healthy controls were considered. The MSE profiles in five brain networks of the two participant groups were evaluated and analyzed. The results showed that depressive patients exhibited higher complexity in the left frontoparietal network than that seen in healthy controls, which is known to be critical for executive control functions. Through this study, the efficacy of MSE in identifying and understanding the mental disorders was also demonstrated.

原文English
主出版物標題2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主出版物子標題Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面3190-3193
頁數4
ISBN(電子)9781509028092
DOIs
出版狀態Published - 13 九月 2017
事件39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
持續時間: 11 七月 201715 七月 2017

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(列印)1557-170X

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
國家Korea, Republic of
城市Jeju Island
期間11/07/1715/07/17

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