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Many recent literature studies have revealed interesting dynamics patterns of functional brain networks derived from fMRI data.
Investigating the Role of Brain Stem in Alzheimer's Disease using Directional Brain Networks derived from Resting State fMRI.
For example, in brain networks derived from fMRI, functional connections can encode the correlations between the functional activities of brain regions.
However, in addition to brain networks derived from the neuroimaging data, hundreds of clinical, immunologic, serologic, and cognitive measures may also be documented for each subject.
Commonly, however, in neurological studies, hundreds of clinical, serologic, and cognitive measures are available for each subject in addition to brain networks derived from the neuroimaging data [4, 5].
For example, in brain networks derived from functional magnetic resonance imaging (fMRI), connections/links can encode correlations between brain regions in functional activity, while structural links in diffusion tensor imaging (DTI) can capture white matter fiber pathways connecting different brain regions.
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A human brain network derived from coma-causing brainstem lesions.
Using an anatomical brain network derived from high-resolution diffusion spectrum imaging (DSI), we investigate scenarios where perturbations initiated at seed nodes result in global cascades that interact either cooperatively or competitively.
In conclusion, the overlapping community structure was identified in the structural brain network derived from the measurement of RGMV in 462 young, healthy individuals.
Structural reconstructions of the brain network, derived from diffusion weighted imaging (DWI), were obtained from 64 patients and 27 healthy controls.
Such an early architecture of the structural connectome is consistent with recent studies showing a small-world organization of the infant functional brain network derived from resting-state fMRI (Fransson et al. 2011) and EEG recordings (Omidvarnia et al. 2014).
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