Sentence examples for the network spread from inspiring English sources

Exact(6)

The network spread.

However, node cooperation flavored techniques, which appears to be effective in any case, have the result of making the information in the network spread faster, but at a cost.

Whether this atrophy network is an "intrinsic brain network" as defined by resting state fcMRI or validates the "network spread model" of PD are important questions, but more weakly supported by the present data.

(Note however that the epicenter analysis in our paper showing that PD related atrophy is predicted by distance from the SN in the normal connectome also fits with the network spread hypothesis).

Whether this atrophy network is an "intrinsic brain network", as defined by resting state fcMRI, or validates the "network spread model" of PD, this is indeed an important question, but it is weakly supported by the present data.

The ideas of (1) comparing a disease atrophy map to a normal resting state (Seeley et al., 2009) and (2) using graph theory to identify an epicenter for disease spread (Zhou et al., 2012), both of which support the network spread hypothesis, originated from these two papers.

Similar(53)

Activation of any given node will spread along associative links to other related nodes that also comprise the network, spreading first to the nodes linked to the first node and then to the nodes that are linked to each of these and so forth.

Another prediction of the network-spread model is that connectome hubs should be especially vulnerable to disease spread (Zhou et al., 2012).

More generally, the network-spread hypothesis suggests that all neurodegenerative diseases target spatially distributed intrinsic brain networks (Warren et al., 2013).

We also sought to provide support for the network-spread hypothesis in PD by showing that the disease, in humans, targets intrinsic brain networks.

The finding that PD targets a set of connected brain regions supports the network-spread hypothesis, although an alternate explanation is that neurons in one network could share a common vulnerability.

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