Sentence examples for brain network using the from inspiring English sources

In this study, we used this methodology to construct a structural brain network using the RGMV measurements.

We also demonstrated the surface representation of the overlapping community structure in the structural brain network using the Caret software [48] (Figure 5).

After creating the brain network using the selected threshold, we then determined which nodes were connected to the largest number of other nodes, i.e. which nodes are "hubs" [1], [6].

We also computed a partition for the non-overlapping community structure in the structural brain network using the modularity optimization method [42], which was the same as the method of partitioning the maximal clique network.

Finally, in the review paper, T. K. Das and colleagues highlighted the structure-function relationship of the brain networks using the Ising model and graph theory.

Finally, leverage was evaluated in terms of its ability to detect hubs in the brain network using functional cartography methods [21].

Here, we aimed to reveal the network architecture of the directed influence brain network using multivariate Granger causality analysis and graph theory on resting-state fMRI recordings.

Currently, mapping an individual brain network using a single image has been a hotspot in the field of brain science; techniques, such as the Kullback-Leibler (KL) method, have applications in structural Magnetic Resonance (MR) imaging.

Chen et al. [39] demonstrated for the first time such a modular architecture (sensorimotor, auditory, visual, attention and mnemonic processing) in the human brain structural network using the inter-regional correlations of cortical thickness from structural MRI.

The present study evaluated the topological properties of whole brain networks using graph theoretical concepts and investigated the time-evolution characteristic of brain network in mild cognitive impairment patients during a selective attention task.

There are also a few recent studies reporting functional modular organization of spontaneous neuronal activity in the brain networks using spontaneous BOLD fluctuations derived from resting-state fMRI data in the rats [41] and healthy human subjects [42], [43] (we will discuss the similarities and differences among these studies in the Discussion section).