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Published in 2017 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.25429
Abstract: To detect the consecutive variations of the internetwork interactions over time, which helps to discover the underlying dysfunction of depressive disorders. Abnormal interactions of resting‐state functional networks have been reported in depression. However, little is…
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Keywords:
depression;
salience network;
structure salience;
dynamic community ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adf90a
Abstract: This paper proposes an adaptive Kalman filter (AKF) that can track state changes and estimate noise covariance matrix (NCM) to address the poor performance issue of existing AKFs in handling abnormal dynamic models when the…
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Keywords:
filter;
abnormal dynamic;
kalman filter;
adaptive kalman ... See more keywords
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Published in 2021 at "European Journal of Neurology"
DOI: 10.1111/ene.15233
Abstract: Accumulating evidence indicates that dynamic amplitude of low‐frequency fluctuations (dALFF) or dynamic functional connectivity (dFC) can provide complementary information, distinct from static amplitude of low‐frequency fluctuations (sALFF) or static functional connectivity (sFC), in detecting brain…
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Keywords:
brain activity;
abnormal dynamic;
dynamic brain;
functional connectivity ... See more keywords
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Published in 2024 at "Brain Sciences"
DOI: 10.3390/brainsci14090935
Abstract: Background: Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of…
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Keywords:
abnormal dynamic;
multilayer;
bipolar disorder;
network ... See more keywords