Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network

Madelaine Daianu; Neda Jahanshad; Talia M Nir; Clifford R Jack Jr; Michael W Weiner; Matt A Bernstein; Paul M Thompson; Alzheimer's Disease Neuroimaging Initiative

doi:10.1002/hbm.22830

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Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network

Journal article

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Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network

Madelaine Daianu, Neda Jahanshad, Talia M Nir, Clifford R Jack Jr, Michael W Weiner, Matt A Bernstein, Paul M Thompson and Alzheimer's Disease Neuroimaging Initiative

Human brain mapping, Vol.36(8), pp.3087-3103

08/2015

DOI: 10.1002/hbm.22830

PMCID: PMC4504816

PMID: 26037224

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Abstract

Diffusion imaging can assess the white matter connections within the brain, revealing how neural pathways break down in Alzheimer's disease (AD). We analyzed 3-Tesla whole-brain diffusion-weighted images from 202 participants scanned by the Alzheimer's Disease Neuroimaging Initiative-50 healthy controls, 110 with mild cognitive impairment (MCI) and 42 AD patients. From whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We tested whether AD disrupts the "rich club" - a network property where high-degree network nodes are more interconnected than expected by chance. We calculated the rich club properties at a range of degree thresholds, as well as other network topology measures including global degree, clustering coefficient, path length, and efficiency. Network disruptions predominated in the low-degree regions of the connectome in patients, relative to controls. The other metrics also showed alterations, suggesting a distinctive pattern of disruption in AD, less pronounced in MCI, targeting global brain connectivity, and focusing on more remotely connected nodes rather than the central core of the network. AD involves severely reduced structural connectivity; our step-wise rich club coefficients analyze points to disruptions predominantly in the peripheral network components; other modalities of data are needed to know if this indicates impaired communication among non rich club regions. The highly connected core was relatively preserved, offering new evidence on the neural basis of progressive risk for cognitive decline.

Humans

Male

Cognitive Dysfunction - pathology

Neural Pathways - pathology

Aging - pathology

Alzheimer Disease - pathology

Connectome - methods

Brain - pathology

Mental Status Schedule

Female

Aged

Diffusion Magnetic Resonance Imaging - methods

Longitudinal Studies

Details

Title: Subtitle: Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network
Creators: Madelaine Daianu - Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, California
Neda Jahanshad - Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, California
Talia M Nir - Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, California
Clifford R Jack Jr - Department of Radiology, Mayo Clinic, Rochester, Minnesota
Michael W Weiner - Department of Veterans Affairs Medical Center, San Francisco, California
Matt A Bernstein - Department of Radiology, Mayo Clinic, Rochester, Minnesota
Paul M Thompson - Departments of Neurology, Psychiatry, Radiology, Engineering, Pediatrics, and Ophthalmology, University of Southern California, Los Angeles, California
Alzheimer's Disease Neuroimaging Initiative
Contributors: Laura L Boles-Ponto (Contributor) - University of Iowa, Radiology
Resource Type: Journal article
Publication Details: Human brain mapping, Vol.36(8), pp.3087-3103
DOI: 10.1002/hbm.22830
PMID: 26037224
PMCID: PMC4504816
NLM abbreviation: Hum Brain Mapp
ISSN: 1065-9471
eISSN: 1097-0193
Publisher: United States
Grant note: P30 AG062421 / NIA NIH HHS R01 MH097268 / NIMH NIH HHS R01 LM005639 / NLM NIH HHS P30AG010129 / NIA NIH HHS R01EB008281 / NIBIB NIH HHS U01 AG024904 / NIA NIH HHS K01AG030514 / NIA NIH HHS R01 EB008432 / NIBIB NIH HHS R21 RR019771 / NCRR NIH HHS LM05639 / NLM NIH HHS P30 AG010129 / NIA NIH HHS MH097268 / NIMH NIH HHS AG040060 / NIA NIH HHS R01EB008432 / NIBIB NIH HHS AG016570 / NIA NIH HHS EB01651 / NIBIB NIH HHS U54 EB020403 / NIBIB NIH HHS CIHR RR019771 / NCRR NIH HHS P30 AG013846 / NIA NIH HHS K01 AG030514 / NIA NIH HHS P50 AG016570 / NIA NIH HHS P50 AG005134 / NIA NIH HHS R01 AG040060 / NIA NIH HHS R01 EB008281 / NIBIB NIH HHS RF1 AG041915 / NIA NIH HHS U01AG024904 / NIA NIH HHS
Language: English
Date published: 08/2015
Academic Unit: Radiology; Pharmaceutical Sciences and Experimental Therapeutics
Record Identifier: 9984051586102771

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