Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease

Madelaine Daianu; Neda Jahanshad; Julio E. Villalon-Reina; Mario F. Mendez; George Bartzokis; Elvira E. Jimenez; Aditi Joshi; Joseph Barsuglia; Paul M. Thompson

doi:10.1007/978-3-319-11182-7_2

Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease

Madelaine Daianu, Neda Jahanshad, Julio E. Villalon-Reina, Mario F. Mendez, George Bartzokis, Elvira E. Jimenez, Aditi Joshi, Joseph Barsuglia, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusionweighted images from 64 participants—15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer’s disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted ‘rich club’—a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.

Original language	English
Title of host publication	Computational Diffusion MRI - MICCAI Workshop 2014
Editors	Torben Schneider, Marco Reisert, Lauren O’Donnell, Yogesh Rathi, Gemma Nedjati-Gilani
Publisher	Springer Berlin
Pages	13-22
Number of pages	10
ISBN (Electronic)	9783319111810
DOIs	https://doi.org/10.1007/978-3-319-11182-7_2
State	Published - 2014
Externally published	Yes
Event	MICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 - Boston, United States Duration: 18 Sep 2014 → 18 Sep 2014

Publication series

Name	Mathematics and Visualization
Volume	39
ISSN (Print)	1612-3786
ISSN (Electronic)	2197-666X

Conference

Conference	MICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Boston
Period	18/09/14 → 18/09/14

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10.1007/978-3-319-11182-7_2

Cite this

Daianu, M., Jahanshad, N., Villalon-Reina, J. E., Mendez, M. F., Bartzokis, G., Jimenez, E. E., Joshi, A., Barsuglia, J., & Thompson, P. M. (2014). Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease. In T. Schneider, M. Reisert, L. O’Donnell, Y. Rathi, & G. Nedjati-Gilani (Eds.), Computational Diffusion MRI - MICCAI Workshop 2014 (pp. 13-22). (Mathematics and Visualization; Vol. 39). Springer Berlin. https://doi.org/10.1007/978-3-319-11182-7_2

Daianu, Madelaine ; Jahanshad, Neda ; Villalon-Reina, Julio E. et al. / Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease. Computational Diffusion MRI - MICCAI Workshop 2014. editor / Torben Schneider ; Marco Reisert ; Lauren O’Donnell ; Yogesh Rathi ; Gemma Nedjati-Gilani. Springer Berlin, 2014. pp. 13-22 (Mathematics and Visualization).

@inproceedings{b40597544eef40e3a8dcdcdf4ad37fbb,

title = "Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer{\textquoteright}s disease",

abstract = "Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusionweighted images from 64 participants—15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer{\textquoteright}s disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted {\textquoteleft}rich club{\textquoteright}—a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.",

author = "Madelaine Daianu and Neda Jahanshad and Villalon-Reina, {Julio E.} and Mendez, {Mario F.} and George Bartzokis and Jimenez, {Elvira E.} and Aditi Joshi and Joseph Barsuglia and Thompson, {Paul M.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; MICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 ; Conference date: 18-09-2014 Through 18-09-2014",

year = "2014",

doi = "10.1007/978-3-319-11182-7_2",

language = "English",

series = "Mathematics and Visualization",

publisher = "Springer Berlin",

pages = "13--22",

editor = "Torben Schneider and Marco Reisert and Lauren O{\textquoteright}Donnell and Yogesh Rathi and Gemma Nedjati-Gilani",

booktitle = "Computational Diffusion MRI - MICCAI Workshop 2014",

address = "Germany",

}

Daianu, M, Jahanshad, N, Villalon-Reina, JE, Mendez, MF, Bartzokis, G, Jimenez, EE, Joshi, A, Barsuglia, J & Thompson, PM 2014, Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease. in T Schneider, M Reisert, L O’Donnell, Y Rathi & G Nedjati-Gilani (eds), Computational Diffusion MRI - MICCAI Workshop 2014. Mathematics and Visualization, vol. 39, Springer Berlin, pp. 13-22, MICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, Boston, United States, 18/09/14. https://doi.org/10.1007/978-3-319-11182-7_2

Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease. / Daianu, Madelaine; Jahanshad, Neda; Villalon-Reina, Julio E. et al.
Computational Diffusion MRI - MICCAI Workshop 2014. ed. / Torben Schneider; Marco Reisert; Lauren O’Donnell; Yogesh Rathi; Gemma Nedjati-Gilani. Springer Berlin, 2014. p. 13-22 (Mathematics and Visualization; Vol. 39).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease

AU - Daianu, Madelaine

AU - Jahanshad, Neda

AU - Villalon-Reina, Julio E.

AU - Mendez, Mario F.

AU - Bartzokis, George

AU - Jimenez, Elvira E.

AU - Joshi, Aditi

AU - Barsuglia, Joseph

AU - Thompson, Paul M.

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusionweighted images from 64 participants—15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer’s disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted ‘rich club’—a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.

AB - Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusionweighted images from 64 participants—15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer’s disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted ‘rich club’—a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.

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DO - 10.1007/978-3-319-11182-7_2

M3 - Conference contribution

AN - SCOPUS:84929466021

T3 - Mathematics and Visualization

SP - 13

EP - 22

BT - Computational Diffusion MRI - MICCAI Workshop 2014

A2 - Schneider, Torben

A2 - Reisert, Marco

A2 - O’Donnell, Lauren

A2 - Rathi, Yogesh

A2 - Nedjati-Gilani, Gemma

PB - Springer Berlin

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ER -

Daianu M, Jahanshad N, Villalon-Reina JE, Mendez MF, Bartzokis G, Jimenez EE et al. Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease. In Schneider T, Reisert M, O’Donnell L, Rathi Y, Nedjati-Gilani G, editors, Computational Diffusion MRI - MICCAI Workshop 2014. Springer Berlin. 2014. p. 13-22. (Mathematics and Visualization). doi: 10.1007/978-3-319-11182-7_2

Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer’s disease

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