The Brain's Structural Connectome Mediates the Relationship between Regional Neuroimaging Biomarkers in Alzheimer's Disease.

TitleThe Brain's Structural Connectome Mediates the Relationship between Regional Neuroimaging Biomarkers in Alzheimer's Disease.
Publication TypeJournal Article
Year of Publication2017
AuthorsPandya S, Kuceyeski A, Raj A
Corporate AuthorsAlzheimer’s Disease Neuroimaging Initiative
JournalJ Alzheimers Dis
Volume55
Issue4
Pagination1639-1657
Date Published2017
ISSN1875-8908
KeywordsAged, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Peptides, Biomarkers, Brain, Cohort Studies, Connectome, Cross-Sectional Studies, Female, Humans, Male, Neuroimaging, tau Proteins
Abstract

Alzheimer's disease (AD), one of the most common causes of dementia in adults, is a progressive neurodegenerative disorder exhibiting well-defined neuropathological hallmarks. It is known that disease pathology involves misfolded amyloid-β (Aβ) and tau proteins, and exhibits a relatively stereotyped progression over decades. The relationship between AD neuropathological hallmarks (Aβ, hypometabolism, and tau proteins) and imaging biomarkers (MRI, AV-45/FDG-PET) is not fully understood. In addition, biomarker pathologies are oftentimes discordant, wherein it may show varying levels of abnormality across brain regions. Evidence based on recent elucidation of trans-neuronal "prion-like" transmission and other available data already suggests that disease spread follows the brain's fiber connectivity network. Thereby, the brain's connectome information can be used to predict the process of disease spread in AD. A recently established mathematical model of AD pathology spread using a connectome-based network diffusion model was successful in encapsulating neurodegenerative progression. Motivated by these network-based findings, the current study explores whether and how network connectivity mediates the interactions between various AD biomarkers. We hypothesized that the structural connectivity matrix will mediate the cross-sectional association between regional AD-associated hypometabolism and Aβ deposition. Given recent reports of inherent or lifetime activity of brain regions as strong predictors of Aβ deposition in patients, we also tested whether healthy metabolism exerts a network-mediated effect on Aβ deposition and hypometabolism in AD patients. We found that regional Aβ deposition is best predicted by a linear combination of both regional healthy local metabolism and connectome-mediated regional healthy metabolism.

DOI10.3233/JAD-160090
Alternate JournalJ Alzheimers Dis
PubMed ID27911289
Grant ListR01 NS075425 / NS / NINDS NIH HHS / United States
R01 NS092802 / NS / NINDS NIH HHS / United States
U01 AG024904 / AG / NIA NIH HHS / United States
Related Institute: 
Brain Health Imaging Institute (BHII)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065