Alzheimer's disease disrupts rich club organization in brain connectivity networks
Year: 2013
Type: conference-paper
Study design: Observational Study
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 diffusionweighted 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.
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G104586243, UC Davis Alzheimer's Disease Core Center, HARDI Mapping of Disease Effects on the Brain, "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies", Alzheimer's disease risk analyzed using population imaging genomics, A Multidimensional Alzheimer's Disease Brain Atlas, Alzheimer's Disease Neuroimaging Initiative
OpenAlex ID: W1983183710
