1. Association of brain network dynamics with plasma biomarkers in subjective memory complainers.
- Author
-
Chiesa PA, Houot M, Vergallo A, Cavedo E, Lista S, Potier MC, Zetterberg H, Blennow K, Vanmechelen E, De Vos A, Dubois B, and Hampel H
- Subjects
- Aged, Alzheimer Disease, Biomarkers blood, Cohort Studies, Female, Humans, Male, Risk, Amyloid Precursor Protein Secretases blood, Amyloid beta-Peptides blood, Aspartic Acid Endopeptidases blood, Brain physiopathology, Chitinase-3-Like Protein 1 blood, Memory Disorders diagnosis, Memory Disorders physiopathology, Neural Pathways physiopathology, tau Proteins blood
- 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., (Copyright © 2019. Published by Elsevier Inc.)
- Published
- 2020
- Full Text
- View/download PDF