| Literature DB >> 26559882 |
Betty M Tijms1, Mara Ten Kate2, Alle Meije Wink3, Pieter Jelle Visser4, Mirian Ecay5, Montserrat Clerigue5, Ainara Estanga5, Maite Garcia Sebastian5, Andrea Izagirre5, Jorge Villanua6, Pablo Martinez Lage5, Wiesje M van der Flier7, Philip Scheltens8, Ernesto Sanz Arigita5, Frederik Barkhof3.
Abstract
Gray matter networks are disrupted in Alzheimer's disease (AD). It is unclear when these disruptions start during the development of AD. Amyloid beta 1-42 (Aβ42) is among the earliest changes in AD. We studied, in cognitively healthy adults, the relationship between Aβ42 levels in cerebrospinal fluid (CSF) and single-subject cortical gray matter network measures. Single-subject gray matter networks were extracted from structural magnetic resonance imaging scans in a sample of cognitively healthy adults (N = 185; age range 39-79, mini-mental state examination >25, N = 12 showed abnormal Aβ42 < 550 pg/mL). Degree, clustering coefficient, and path length were computed at whole brain level and for 90 anatomical areas. Associations between continuous Aβ42 CSF levels and single-subject cortical gray matter network measures were tested. Smoothing splines were used to determine whether a linear or nonlinear relationship gave a better fit to the data. Lower Aβ42 CSF levels were linearly associated at whole brain level with lower connectivity density, and nonlinearly with lower clustering values and higher path length values, which is indicative of a less-efficient network organization. These relationships were specific to medial temporal areas, precuneus, and the middle frontal gyrus (all p < 0.05). These results suggest that mostly within the normal spectrum of amyloid, lower Aβ42 levels can be related to gray matter networks disruptions.Entities:
Keywords: Alzheimer's disease; Amyloid beta; Cognitively normal adults; Graph theory; Gray matter; MRI; Single-subject
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Year: 2015 PMID: 26559882 DOI: 10.1016/j.neurobiolaging.2015.10.015
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673