Literature DB >> 26559882

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

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Amyloid beta; Cognitively normal adults; Graph theory; Gray matter; MRI; Single-subject

Mesh:

Substances:

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


  27 in total

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6.  Multiplex Connectome Changes across the Alzheimer's Disease Spectrum Using Gray Matter and Amyloid Data.

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7.  Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease.

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Journal:  Cereb Cortex       Date:  2016-05-13       Impact factor: 5.357

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Authors:  Susanne G Mueller; Michael W Weiner
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9.  A Graph Theory Approach to Clarifying Aging and Disease Related Changes in Cognitive Networks.

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Review 10.  The human connectome in Alzheimer disease - relationship to biomarkers and genetics.

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Journal:  Nat Rev Neurol       Date:  2021-07-20       Impact factor: 44.711

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