Structural Network Efficiency Predicts Resilience to Cognitive Decline in Elderly at Risk for Alzheimer’s Disease
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Abstract
- <jats:p><jats:bold>Introduction</jats:bold>: Functional imaging studies have demonstrated the recruitment of additional neural resources as a possible mechanism to compensate for age and Alzheimer’s disease (AD)-related cerebral pathology, the efficacy of which is potentially modulated by underlying structural network connectivity. Additionally, structural network efficiency (SNE) is associated with intelligence across the lifespan, which is a known factor for resilience to cognitive decline. We hypothesized that SNE may be a surrogate of the physiological basis of resilience to cognitive decline in elderly persons without dementia and with age- and AD-related cerebral pathology.<jats:bold>Methods</jats:bold>: We included 85 cognitively normal elderly subjects or mild cognitive impairment (MCI) patients submitted to baseline diffusion imaging, liquor specimens, amyloid-PET and longitudinal cognitive assessments. SNE was calculated from baseline MRI scans using fiber tractography and graph theory. Mixed linear effects models were estimated to investigate the association of higher resilience to cognitive decline with higher SNE and the modulation of this association by increased cerebral amyloid, liquor tau or WMHV. <jats:bold>Results</jats:bold>: For the majority of cognitive outcome measures, higher SNE was associated with higher resilience to cognitive decline (<jats:italic>p</jats:italic>-values: 0.011–0.039). Additionally, subjects with higher SNE showed more resilience to cognitive decline at higher cerebral amyloid burden (<jats:italic>p</jats:italic>-values: &lt;0.001–0.036) and lower tau levels (<jats:italic>p</jats:italic>-values: 0.002–0.015).<jats:bold>Conclusion</jats:bold>: These results suggest that SNE to some extent may quantify the physiological basis of resilience to cognitive decline most effective at the earliest stages of AD, namely at increased amyloid burden and before increased tauopathy.</jats:p>
- Autoren
- Florian U Fischer
- Dominik Wolf
- Oliver Tüscher
- Andreas Fellgiebel
- DOI
- 10.3389/fnagi.2021.637002
- eISSN
- 1663-4365
- Zeitschrift
- Frontiers in Aging Neuroscience
- Online publication date
- 2021
- Status
- Published online
- Herausgeber
- Frontiers Media SA
- Herausgeber URL
- http://dx.doi.org/10.3389/fnagi.2021.637002
- Datum der Datenerfassung
- 2021
- Titel
- Structural Network Efficiency Predicts Resilience to Cognitive Decline in Elderly at Risk for Alzheimer’s Disease
- Ausgabe der Zeitschrift
- 13
Datenquelle: Crossref
- Andere Metadatenquellen:
-
- Author's licence
- CC-BY
- Autoren
- Florian U Fischer
- Dominik Wolf
- Oliver Tüscher
- Andreas Fellgiebel
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- JGU-Publikationen
- Resource version
- Published version
- DOI
- 10.3389/fnagi.2021.637002
- Funding acknowledgements
- Open Access-Publizieren Universität Mainz / Universitätsmedizin Mainz
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1663-4365
- Zeitschrift
- Frontiers in aging neuroscience
- Schlüsselwörter
- 610 Medizin
- 610 Medical sciences
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- 637002
- Datum der Veröffentlichung
- 2021
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/5934
- Herausgeber
- Frontiers Research Foundation
- Herausgeber URL
- https://doi.org/10.3389/fnagi.2021.637002
- Datum der Datenerfassung
- 2021
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2021
- Zugang
- Public
- Titel
- Structural network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer’s disease
- Ausgabe der Zeitschrift
- 13
Files
fischer_florian_u.-structural_net-20210514140740218.pdf
Datenquelle: OPENSCIENCE.UB