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Association of brain network dynamics with plasma biomarkers in subjective memory complainers.

Journal article
Authors Patrizia A Chiesa
Marion Houot
Andrea Vergallo
Enrica Cavedo
Simone Lista
Marie Claude Potier
Henrik Zetterberg
Kaj Blennow
Eugeen Vanmechelen
Ann De Vos
Bruno Dubois
Harald Hampel
Published in Neurobiology of aging
Volume 88
Pages 83-90
ISSN 1558-1497
Publication year 2020
Published at Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Centre for Ageing and Health (Agecap)
Pages 83-90
Language en
Links dx.doi.org/10.1016/j.neurobiolaging...
www.ncbi.nlm.nih.gov/entrez/query.f...
Subject categories Neurochemistry

Abstract

Using a single integrated analysis, we examined the relationship between brain networks and molecular pathways in a cohort of elderly individuals at risk for Alzheimer's disease. In 205 subjective memory complainers (124 females, mean age: 75.7 ± 3.4), individual functional connectome was computed for a total of 3081 functional connections (set A) and 6 core plasma biomarkers of Alzheimer's disease (set B) were assessed. Partial least squares correlation analysis identified one dimension of population covariation between the 2 sets (p < 0.006), which we named bioneural mode. Five core plasma biomarkers and 190 functional connections presented bootstrap ratios greater than the critical value |1.96|. T-tau protein showed a trend toward significance (bootstrap resampling = 1.64). The salience, the language, the visuospatial, and the default mode networks were the strongest significant networks. We detected a strong association between network dynamics and core pathophysiological blood biomarkers. Innovative composite biomarkers, such as the bioneural mode, are promising to provide outcomes and better inform drug development and clinical practice for neurodegenerative diseases.

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