Eigenvector alignment uses the dominant system eigenvectors to assess structural changes in a network, as described in the article "Eigenvector alignment: assessing functional network changes in amnestic mild cognitive impairment and Alzheimer's disease"
The largest eigenvalue ? 1 of the adjacency matrix powerfully characterizes dynamic processes on net...
Introduction: Amyloid plaque deposition in the brain is an early pathological change in Alzheimer's ...
Select the coefficients of the matrix A and drag the red arrow. The blue arrow shows the result of m...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Updated eigenvector alignment to handle disconnected network nodes and include a filter based on com...
Alzheimer’s disease (AD) is a brain disconnection syndrome, where functional connectivity analysis c...
Network alignment refers to the problem of finding a bijective mapping across vertices of two or mor...
Panel (a): Eigenvalues of the system when the original structural connectivity is considered as a ne...
<p>(A) The greatest eigenvector represents NS3<sub>PRO</sub> C-terminal domain shifting, and the sec...
<p>Black circles represent males and white circles represent females. The numbers inside each pair o...
Poster presented at 'Alzheimer's Association International Conference (AAIC)'; 16th-20th July 2017; ...
<p><b>A</b> Schematic of the stylized model of a clustered network Eqs (<a href="http://www.ploscomp...
The prevalence of dementia, including Alzheimer's disease (AD), is on the rise globally with screeni...
<p>After the first eight eigenvalues (black bars) a drop can be seen. Hence, the first eight princip...
The largest eigenvalue ? 1 of the adjacency matrix powerfully characterizes dynamic processes on net...
Introduction: Amyloid plaque deposition in the brain is an early pathological change in Alzheimer's ...
Select the coefficients of the matrix A and drag the red arrow. The blue arrow shows the result of m...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Eigenvector alignment, introduced herein to investigate human brain functional networks, is adapted ...
Updated eigenvector alignment to handle disconnected network nodes and include a filter based on com...
Alzheimer’s disease (AD) is a brain disconnection syndrome, where functional connectivity analysis c...
Network alignment refers to the problem of finding a bijective mapping across vertices of two or mor...
Panel (a): Eigenvalues of the system when the original structural connectivity is considered as a ne...
<p>(A) The greatest eigenvector represents NS3<sub>PRO</sub> C-terminal domain shifting, and the sec...
<p>Black circles represent males and white circles represent females. The numbers inside each pair o...
Poster presented at 'Alzheimer's Association International Conference (AAIC)'; 16th-20th July 2017; ...
<p><b>A</b> Schematic of the stylized model of a clustered network Eqs (<a href="http://www.ploscomp...
The prevalence of dementia, including Alzheimer's disease (AD), is on the rise globally with screeni...
<p>After the first eight eigenvalues (black bars) a drop can be seen. Hence, the first eight princip...
The largest eigenvalue ? 1 of the adjacency matrix powerfully characterizes dynamic processes on net...
Introduction: Amyloid plaque deposition in the brain is an early pathological change in Alzheimer's ...
Select the coefficients of the matrix A and drag the red arrow. The blue arrow shows the result of m...
DOI
Add to ORKG