Cited by 7Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

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

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Chiesa, Patrizia A., Houot, Marion, Vergallo, Andrea, Cavedo, Enrica, Lista, Simone, Potier, Marie Claude, Zetterberg, Henrik, Blennow, Kaj +4 more·2020·Neurobiology of Aging

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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Crossref · 10.1016/j.neurobiolaging.2019.12.017

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  • Genetic risk factors with pleiotropic effects, such as APOE ε4, affect default mode network trajectories in cognitively healthy individuals at risk for AD.

    “Very recently, it was shown that genetic risk factors with a pleiotropic biological effect, such as the APOE ε4 allele, affect the trajectories of the default mode network of cognitively healthy individuals at risk for AD (129,130).”

    From The β-Secretase BACE1 in Alzheimer’s Disease (2021) · cites this paper as [130]

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Authors
Chiesa, P. A., Houot, M., Vergallo, A., Cavedo, E., Lista, S., Potier, M. C., Zetterberg, H., Blennow, K., Vanmechelen, E., De Vos, A., Dubois, B., & Hampel, H.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Sorbonne Université (FR)
  • Sahlgrenska University Hospital (SE)
  • UK Dementia Research Institute (GB)
  • Eisai (United States) (US)
Corresponding author
Chiesa, Patrizia A.
Venue
Neurobiology of Aging
Publisher
Elsevier BV
Published
2020-04
Volume
88
Pages
83-90
ISSN
0197-4580 (ISSN-L)
OpenAlex
W2996305691
Cited by
7
References
61
Citations by year
2025: 2 · 2023: 1 · 2021: 2 · 2020: 2
FWCI
0.58
Type
journal article
Language
en
Open access
Locations
  • Neurobiology of Aging (acceptedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Agence Nationale de la Recherche (ANR-10-IAHU-0006)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
subjective memory complaints, Alzheimer's disease, functional connectome, brain network dynamics, plasma biomarkers, T Tau, salience network, default mode network, language network, older adults, neurodegeneration, composite biomarker
MeSH terms
Chitinase-3-Like Protein 1, Aged, Alzheimer Disease, Brain, Female, Humans, Male, Memory Disorders, Neural Pathways, Risk, Cohort Studies, Biomarkers, Amyloid beta-Peptides, Aspartic Acid Endopeptidases, tau Proteins, Amyloid Precursor Protein Secretases

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