Tinnitus Abnormal Brain Region Detection Based on Dynamic Causal Modeling and Exponential Ranking
Joint Authors
Zheng, Yiqing
Cai, Yue-Xin
Tsai, Ming-Chuan
Wang, Chang-Dong
Ou, Jia-Ling
Chen, Yan-Hong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Dynamic Causal Modeling (DCM) has been extended for the analysis of electroencephalography (EEG) based on a specific biophysical and neurobiological generative model for EEG.
Comparing to methods that summarize neural activities with linear relationships, the generative model enables DCM to better describe how signals are generated and better reveal the underlying mechanism of the activities occurring in human brains.
Since DCM provides us with an approach to the effective connectivity between brain areas, with exponential ranking, the abnormality of the observed signals can be further located to a specific brain region.
In this paper, a combination of DCM and exponential ranking is proposed as a new method aiming at searching for the abnormal brain regions which are associated with chronic tinnitus.
American Psychological Association (APA)
Tsai, Ming-Chuan& Cai, Yue-Xin& Wang, Chang-Dong& Zheng, Yiqing& Ou, Jia-Ling& Chen, Yan-Hong. 2018. Tinnitus Abnormal Brain Region Detection Based on Dynamic Causal Modeling and Exponential Ranking. BioMed Research International،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1129281
Modern Language Association (MLA)
Tsai, Ming-Chuan…[et al.]. Tinnitus Abnormal Brain Region Detection Based on Dynamic Causal Modeling and Exponential Ranking. BioMed Research International No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1129281
American Medical Association (AMA)
Tsai, Ming-Chuan& Cai, Yue-Xin& Wang, Chang-Dong& Zheng, Yiqing& Ou, Jia-Ling& Chen, Yan-Hong. Tinnitus Abnormal Brain Region Detection Based on Dynamic Causal Modeling and Exponential Ranking. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1129281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129281