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
Link To Document :
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