Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: the Loss in Connectivity (LoCo) score.

TitleLinking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: the Loss in Connectivity (LoCo) score.
Publication TypeJournal Article
Year of Publication2012
AuthorsKuceyeski A, Zhang Y, Raj A
JournalNeuroimage
Volume61
Issue4
Pagination1311-23
Date Published2012 Jul 16
ISSN1095-9572
KeywordsAlzheimer Disease, Atrophy, Cerebral Cortex, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Female, Frontotemporal Dementia, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Nerve Degeneration, Nerve Fibers, Myelinated, Neural Pathways, Severity of Illness Index, Young Adult
Abstract

It is well known that gray matter changes occur in neurodegenerative diseases like Alzheimer's (AD) and fronto-temporal dementia (FTD), and several studies have investigated their respective patterns of atrophy progression. Recent work, however, has revealed that diffusion MRI that is able to detect white matter integrity changes may be an earlier or more sensitive biomarker in both diseases. However, studies that examine white matter changes only are limited in that they do not provide the functional specificity of GM region-based analysis. In this study, we develop a new metric called the Loss in Connectivity (LoCo) score that gives the amount of structural network disruption incurred by a gray matter region for a particular pattern of white matter integrity loss. Leveraging the relative strengths of WM and GM markers, this metric links areas of WM integrity loss to their connected GM regions as a first step in understanding their functional implications. The LoCo score is calculated for three groups: 18AD, 18 FTD, and 19 age-matched normal controls. We show significant correlations of the LoCo with the respective atrophy patterns in AD (R=0.51, p=2.2 × 10(-9)) and FTD (R=0.49, p=2.5 × 10(-8)) for a standard 116 region gray matter atlas. In addition, we demonstrate that the LoCo outperforms a measure of gray matter atrophy when classifying individuals into AD, FTD, and normal groups.

DOI10.1016/j.neuroimage.2012.03.039
Alternate JournalNeuroimage
PubMed ID22484307
PubMed Central IDPMC3376902
Grant ListR21 EB008138-02 / EB / NIBIB NIH HHS / United States
P41 RR023953-02 / RR / NCRR NIH HHS / United States
P41 RR023953-02S1 / RR / NCRR NIH HHS / United States
F32 EB012404-01 / EB / NIBIB NIH HHS / United States
R21 EB008138 / EB / NIBIB NIH HHS / United States
P41 RR023953 / RR / NCRR NIH HHS / United States
F32 EB012404-02 / EB / NIBIB NIH HHS / United States
R01 NS075425 / NS / NINDS NIH HHS / United States
F32 EB012404 / EB / NIBIB 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