DocumentCode
617310
Title
Alzheimer´s disease disrupts rich club organization in brain connectivity networks
Author
Daianu, Madelaine ; Dennis, Emily L. ; Jahanshad, Neda ; Nir, T.M. ; Toga, Arthur W. ; Jack, Clifford R. ; Weiner, Michael W. ; Thomeson, Paul M.
Author_Institution
Sch. of Med., Imaging Genetics Center, UCLA, Los Angeles, CA, USA
fYear
2013
fDate
7-11 April 2013
Firstpage
266
Lastpage
269
Abstract
Diffusion imaging and brain connectivity analyses can monitor white matter deterioration, revealing how neural pathways break down in aging and Alzheimer´s disease (AD). Here we tested how AD disrupts the ´rich club´ effect - a network property found in the normal brain - where high-degree nodes in the connectivity network are more heavily interconnected with each other than expected by chance. We analyzed 3-Tesla whole-brain diffusion-weighted images (DWI) from 66 subjects (22 AD/44 normal elderly). We performed whole-brain tractography based on the orientation distribution functions. Connectivity matrices were compiled, representing the proportion of detected fibers interconnecting 68 cortical regions. As expected, AD patients had a lower nodal degree (average number of connections) in cortical regions implicated in the disease. Unexpectedly, the normalized rich club coefficient was higher in AD. AD disrupts cortical networks by removing connections; when these networks are thresholded, organizational properties are disrupted leading to additional new biomarkers of AD.
Keywords
biodiffusion; biomedical MRI; brain; diseases; geriatrics; neural nets; neurophysiology; patient monitoring; AD biomarker; Alzheimer´s disease; brain connectivity analysis; brain connectivity network; connectivity matrices; cortical network; cortical region; detected fiber proportion; diffusion imaging; high-degree node; low nodal degree; magnetic flux density 3 T; network property; neural pathway break down; normalized rich club coefficient; organizational property; orientation distribution function; rich club organization; white matter deterioration monitoring; whole-brain diffusion-weighted image; whole-brain tractography; Abstracts; Artificial intelligence; Diseases; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location
San Francisco, CA
ISSN
1945-7928
Print_ISBN
978-1-4673-6456-0
Type
conf
DOI
10.1109/ISBI.2013.6556463
Filename
6556463
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