期刊
NEUROBIOLOGY OF AGING
卷 88, 期 -, 页码 83-90出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2019.12.017
关键词
Brain functional dynamics; Plasma biomarkers; APOE; Integrative multimodal analysis; Subjective memory complaints
资金
- Colam Initiatives
- Fondation pour la Recherche sur Alzheimer, Paris, France
- AXA Research Fund
- Fondation partenariale Sorbonne Universite
- Program PHOENIX
- Fondation pour la Recherche sur Alzheimer
- Investissement d'Avenir [ANR-10-AIHU-06]
- Foundation Plan-Alzheimer
- AVID/Lilly
- Swedish Research Council [2017-00915]
- European Research Council
- Medical Research Council (UK)
- Torsten Soderberg Professorship in Medicine at the Royal Swedish Academy of Sciences
- Swedish Alzheimer Foundation [AF742881]
- Hjarnfonden, Sweden [FO2017-0243]
- Swedish government [ALFGBG-715986]
- Swedish County Councils, the ALF-agreement [ALFGBG-715986]
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. (C) 2019 Published by Elsevier Inc.
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