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Tractography-based parcellation is a method based on diffusion imaging tractography, which segregates the living human brain into distinctive areas showing sharp differences in their anatomical connectivity.
These include tractography analyses based on diffusion imaging (Johansen-Berg and Behrens 2009) and resting-state functional connectivity (R-functional magnetic resonance imaging [fMRI]) that can be performed in monkeys (Vincent et al. 2007) and humans (Fox and Raichle 2007; Van Dijk et al. 2010).
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We constructed white matter brain networks from 29 depressions and 30 healthy controls based on diffusion tensor imaging data, calculated nodal measures and identified hubs.
Up to now, several documents had recognized that thalamic subnuclei were segmented based on diffusion tensor imaging [17, 18], and thalamic nuclei densely connected to the limbic system were observed in migraineurs [11].
Based on diffusion tensor imaging data, the authors found reduced communication among a number of brain regions in stroke patients compared with healthy controls (Crofts and Higham, 2009).
Recent advances in tractography allowed for more direct studies of anatomical network structure (white matter) based on diffusion tensor imaging and diffusion spectrum imaging [8] [10].
Based on the previous documents, it may be associated the ion deposition [1], frequent episodic activation [26], increased mean kurtosis and mean diffusivity value based on diffusion kurtosis imaging (DKI) [24] and altered functional connectivity [22], and this sign may be the direct imaging response for the intrinsic functional changes of PAG.
Tractography based on diffusion tensor imaging (DTI) cannot directly image multiple fiber orientations within a single voxel.
The aim of this study is to design an improved FCM with constraints algorithm (iFCM_S) for brain tissue segmentation based on diffusion tensor imaging (DTI).
While measure of corticospinal tract (CST) injury based on diffusion tensor imaging (DTI) in subacute stroke patients strongly predicts motor outcome, its predictive value in acute stroke patients is unclear.
While preliminary evidence suggests that measures of structural properties of the brain based on diffusion tensor imaging (DTI) fluctuate as a function of time-of-day (TOD), the underlying mechanism has not been investigated.
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