Literature DB >> 26242705

Loss of functional connectivity is greater outside the default mode network in nonfamilial early-onset Alzheimer's disease variants.

Manja Lehmann1, Cindee Madison2, Pia M Ghosh3, Zachary A Miller4, Michael D Greicius5, Joel H Kramer4, Giovanni Coppola6, Bruce L Miller4, William J Jagust7, Maria L Gorno-Tempini4, William W Seeley4, Gil D Rabinovici7.   

Abstract

The common and specific involvement of brain networks in clinical variants of Alzheimer's disease (AD) is not well understood. We performed task-free ("resting-state") functional imaging in 60 nonfamilial AD patients, including 20 early-onset AD (age at onset <65 years, amnestic/dysexecutive deficits), 24 logopenic aphasia (language deficits), and 16 posterior cortical atrophy patients (visual deficits), as well as 60 healthy controls. Seed-based connectivity analyses were conducted to assess differences between groups in 3 default mode network (DMN) components (anterior, posterior, and ventral) and 4 additional non-DMN networks: left and right executive-control, language, and higher visual networks. Significant decreases in connectivity were found across AD variants compared with controls in the non-DMN networks. Within the DMN components, patients showed higher connectivity in the anterior DMN, in particular in logopenic aphasia. No significant differences were found for the posterior and ventral DMN. Our findings suggest that loss of functional connectivity is greatest in networks outside the DMN in early-onset and nonamnestic AD variants and may thus be a better biomarker in these patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Functional magnetic resonance imaging; Intrinsic connectivity; Logopenic-variant primary progressive aphasia; Networks; Posterior cortical atrophy

Mesh:

Year:  2015        PMID: 26242705      PMCID: PMC4698410          DOI: 10.1016/j.neurobiolaging.2015.06.029

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  57 in total

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