<p>Before alignment: <i>R</i> = 0.6019. After alignment: <i>R</i> = 0.6481. Many nodes of the adjacency matrix representing adult 3 stayed in the same location after reordering (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096196#pone-0096196-t001" target="_blank">Table 1</a> for reordered indices). However, some nodes switched positions with its neighbors, e.g., as highlighted in red color: node 68 in adult 3 was aligned with node 54 in adult 4.</p
Resting state brain activity, as measured with functional magnetic resonance imaging (fMRI) in the a...
During the performance of a specific task--or at rest--, the activity of different brain regions sha...
<p>The alignment performance has been estimated at several different levels of separation between th...
<p>Correlation coefficients after alignment of the adult brain networks. Adult 4 was chosen as the “...
Network alignment is a method to align nodes that belong to the same entity from different networks....
<p>Example adjacency matrices are provided for the brain and for the 13 synthetical network models d...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Abstract Background Recently the study of the complex system of connections in neural systems, i.e. ...
<p>The sum of connections in all subjects of each group (<i>n</i> = 4) was calculated after alignmen...
Background Dozens of global network alignment algorithms have been developed over the past fifteen y...
<p>(A) Group-averaged correlation matrices organized according to network affiliation. ROI order is ...
Resting state brain activity, as measured with functional magnetic resonance imaging (fMRI) in the a...
A critical feature of the human brain that gives rise to complex cognition is its ability to reconfi...
During the performance of a specific task--or at rest--, the activity of different brain regions sha...
Network alignment is the problem of pairing nodes between two graphs such that the paired nodes are ...
Resting state brain activity, as measured with functional magnetic resonance imaging (fMRI) in the a...
During the performance of a specific task--or at rest--, the activity of different brain regions sha...
<p>The alignment performance has been estimated at several different levels of separation between th...
<p>Correlation coefficients after alignment of the adult brain networks. Adult 4 was chosen as the “...
Network alignment is a method to align nodes that belong to the same entity from different networks....
<p>Example adjacency matrices are provided for the brain and for the 13 synthetical network models d...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Abstract Background Recently the study of the complex system of connections in neural systems, i.e. ...
<p>The sum of connections in all subjects of each group (<i>n</i> = 4) was calculated after alignmen...
Background Dozens of global network alignment algorithms have been developed over the past fifteen y...
<p>(A) Group-averaged correlation matrices organized according to network affiliation. ROI order is ...
Resting state brain activity, as measured with functional magnetic resonance imaging (fMRI) in the a...
A critical feature of the human brain that gives rise to complex cognition is its ability to reconfi...
During the performance of a specific task--or at rest--, the activity of different brain regions sha...
Network alignment is the problem of pairing nodes between two graphs such that the paired nodes are ...
Resting state brain activity, as measured with functional magnetic resonance imaging (fMRI) in the a...
During the performance of a specific task--or at rest--, the activity of different brain regions sha...
<p>The alignment performance has been estimated at several different levels of separation between th...