Back to Search Start Over

Gray matter network disruptions and amyloid beta in cognitively normal adults.

Authors :
Tijms, Betty M.
ten Kate, Mara
Wink, Alle Meije
Visser, Pieter Jelle
Ecay, Mirian
Clerigue, Montserrat
Estanga, Ainara
Sebastian, Maite Garcia
Izagirre, Andrea
Villanua, Jorge
Martinez Lage, Pablo
van der Flier, Wiesje M.
Scheltens, Philip
Sanz Arigita, Ernesto
Barkhof, Frederik
Source :
Neurobiology of Aging. Jan2016, Vol. 37, p154-160. 7p.
Publication Year :
2016

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 Ab42 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, miniemental 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01974580
Volume :
37
Database :
Academic Search Index
Journal :
Neurobiology of Aging
Publication Type :
Academic Journal
Accession number :
111670890
Full Text :
https://doi.org/10.1016/j.neurobiolaging.2015.10.015