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Dynamic functional connectivity analysis and its application in neuropsychiatric disorders
ZHOU Zhou  ZHONG Yuan 

Cite this article as: Zhou Z, Zhong Y. Dynamic functional connectivity analysis and its application in neuropsychiatric disorders[J]. Chin J Magn Reson Imaging, 2021, 12(1): 73-76. DOI:10.12015/issn.1674-8034.2021.01.016.


[Abstract] Functional brain connectivity analysis based on resting-state functional magnetic resonance imaging has been widely used in the research of neuropsychiatric disorders, which includes static functional connectivity and dynamic functional connectivity (DFC). Functional connectivity has the characteristics of dynamic change with time, but static functional connectivity may not be sensitive enough to detect the alteration of neurofluctuations. DFC analysis has been implemented in order to reveal the mechanism of complex neural activities and it has made a breakthrough in many clinical studies. However, there is a lack of comparability among DFC methods, and their results in clinical application are different. In this paper, combing the methods of the DFC and the latest research results in neuropsychiatric disorders, we pointed out the improvement direction of DFC and introduced the applications prospect of DFC in diagnosis of clinical diseases.
[Keywords] dynamic functional connectivity;magnetic resonance imaging;Alzheimer's disease;schizophrenia;post-traumatic stress disorder

ZHOU Zhou   ZHONG Yuan*  

School of Psychology, Nanjing Normal University, Nanjing 210097, China

*Corresponding author: Zhong Y, E-mail: zhongyuan@njnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article is supported by the National Natural Science Found No. 81871344 Natural Science Foundation of Jiangsu Province No. BK20191369 Jiangsu Province Blue Project of University No. 164080H00635
Received  2020-09-28
Accepted  2020-11-30
DOI: 10.12015/issn.1674-8034.2021.01.016
Cite this article as: Zhou Z, Zhong Y. Dynamic functional connectivity analysis and its application in neuropsychiatric disorders[J]. Chin J Magn Reson Imaging, 2021, 12(1): 73-76. DOI:10.12015/issn.1674-8034.2021.01.016.

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