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Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101635
Abstract: Characterizing functional brain connectivity using resting functional magnetic resonance imaging (fMRI) is challenging due to the relatively small Blood-Oxygen-Level Dependent contrast and low signal-to-noise ratio. Denoising using surface-based Laplace-Beltrami (LB) or volumetric Gaussian filtering tends…
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Keywords:
non local;
connectivity;
local means;
brain connectivity ... See more keywords
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Published in 2022 at "Medical Image Analysis"
DOI: 10.1016/j.media.2022.102366
Abstract: Highlights • MAGE is multi-dynamic in that it models temporal fluctuations in FC independently from fluctuations in the mean of the activity.• MAGE reveals stronger changes in FC over time than single-dynamic approaches, such as…
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Keywords:
time;
multi dynamic;
time varying;
dynamic modelling ... See more keywords
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Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.04.054
Abstract: &NA; Cortical parcellation based on resting fMRI is an important tool for investigating the functional organization and connectivity of the cerebral cortex. Group parcellation based on co‐registration of anatomical images to a common atlas will…
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Keywords:
individual parcellation;
resting fmri;
group;
functional connectivity ... See more keywords
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Published in 2020 at "Network Neuroscience"
DOI: 10.1162/netn_a_00116
Abstract: Abstract The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain’s functional architecture and…
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Keywords:
functional connectivity;
time varying;
time;
resting fmri ... See more keywords