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Association Between Dynamic Functional Connectivity and Intelligence
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020Several studies have explored the relationship between intelligence and neuroimaging features. However, little is known about whether the temporal variations of functional connectivity of the brain regions at rest are relevant to the differences in intelligence.
Mahnaz Ashrafi, Hamid Soltanian-Zadeh
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Dynamic Functional Connectivity Using Heat Kernel
2019 IEEE Data Science Workshop (DSW), 2019Sliding and tapered sliding window methods are the most common approaches in computing dynamic correlations between brain regions. However, due to data acquisition and physiological artifacts in resting-state fMRI, the sidelobes of the window functions in spectral domain will cause high-frequency fluctuations in dynamic correlations.
Shih-Gu Huang +3 more
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Dynamic functional network connectivity alterations in obesity
Diabetes, Obesity and MetabolismAbstract Aims Obesity involves both metabolic and neural dysfunction, yet the temporal dynamics of brain connectivity remain unclear. This study applied dynamic functional network connectivity (dFNC) analysis to reveal time‐varying brain network patterns in obesity.
Zhaoyi Chen +9 more
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Dynamic Brain Connectivity in Resting State Functional MR Imaging
Neuroimaging Clinics of North America, 2021Rozita Jalilianhasanpour +2 more
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Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke
Human Brain Mapping, 2021Anna K Bonkhoff +2 more
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Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
NeuroImage, 2016Dante Mantini, Gustavo Deco
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