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Dynamic default mode network connectivity diminished in patients with schizophrenia
Yuhui Du; Hao He; Lei Wu; Qingbao Yu; Sui Jing(隋婧); Vince D. Calhoun
Conference NameBiomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference Date23 July 2015
Conference PlaceNew York, NY, USA
Recent works have shown that, even in resting state, functional
networks undergo dynamic changes over short time. In this study,
we describe an approach to assess the difference in default mode
network (DMN) dynamics between healthy controls (HC) and
schizophrenia patients (SZ) using resting-state functional magnetic
resonance imaging. Firstly, dynamic DMN was computed using a
sliding time window method. Then, stability of the dynamic DMN
evaluated using the spectrum of time-varying functional
connectivity was compared between HC and SZ. Subsequently, the
overall functional connectivity pattern and dynamic graph
measures were also investigated for both groups. Results show that
dynamic DMN of HC had more stable and stronger functional
connectivity than that of SZ. Regarding to dynamic graph
measures, SZ had lower connectivity strength, clustering
coefficient, global efficiency, and local efficiency than HC. The
findings suggest that dynamic functional network analysis is a
promising technique for understanding schizophrenia.
KeywordDynamic Functional Network Default Mode Network Functional Magnetic Resonance Imaging Schizophrenia
Indexed BySCI
Document Type会议论文
Recommended Citation
GB/T 7714
Yuhui Du,Hao He,Lei Wu,et al. Dynamic default mode network connectivity diminished in patients with schizophrenia[C],2015.
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