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WeightNameValue
1000 Titel
  • Structural Network Efficiency Predicts Resilience to Cognitive Decline in Elderly at Risk for Alzheimer’s Disease
1000 Autor/in
  1. Fischer, Florian U. |
  2. Wolf, Dominik |
  3. Tüscher, Oliver |
  4. Fellgiebel, Andreas |
1000 Mitwirkende/r
  1. Alzheimer’s Disease Neuroimaging Initiative |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-22
1000 Erschienen in
1000 Quellenangabe
  • 13:637002
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fnagi.2021.637002 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937862 |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/fnagi.2021.637002/full#h12 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • INTRODUCTION: 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.Methods: 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. RESULTS: For the majority of cognitive outcome measures, higher SNE was associated with higher resilience to cognitive decline (p-values: 0.011–0.039). Additionally, subjects with higher SNE showed more resilience to cognitive decline at higher cerebral amyloid burden (p-values: <0.001–0.036) and lower tau levels (p-values: 0.002–0.015).CONCLUSION: 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.
1000 Sacherschließung
lokal Alzheimer’s disease
lokal resilience
lokal amyloid
lokal white matter
lokal connectome
lokal diffusion imaging
lokal structural network
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RmlzY2hlciwgRmxvcmlhbiBVLg==|https://frl.publisso.de/adhoc/uri/V29sZiwgRG9taW5paw==|https://frl.publisso.de/adhoc/uri/VMO8c2NoZXIsIE9saXZlcg==|https://frl.publisso.de/adhoc/uri/RmVsbGdpZWJlbCwgQW5kcmVhcw==|https://frl.publisso.de/adhoc/uri/QWx6aGVpbWVy4oCZcyBEaXNlYXNlIE5ldXJvaW1hZ2luZyBJbml0aWF0aXZl
1000 Label
1000 Förderer
  1. Alzheimer's Disease Neuroimaging Initiative |
  2. DoD Alzheimer's Disease Neuroimaging Initiative |
  3. Horizon 2020 Framework Programme |
  4. Deutsche Forschungsgemeinschaft |
  5. Bundesministerium für Bildung und Forschung |
  6. Leibniz Institute for Resilience Research |
1000 Fördernummer
  1. AG024904
  2. W81XWH-12-2-0012
  3. 777084
  4. CRC 1193
  5. 01GQ1425A
  6. -
1000 Förderprogramm
  1. -
  2. -
  3. DynaMORE
  4. subprojects C04, Z03
  5. -
  6. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Alzheimer's Disease Neuroimaging Initiative |
    1000 Förderprogramm -
    1000 Fördernummer AG024904
  2. 1000 joinedFunding-child
    1000 Förderer DoD Alzheimer's Disease Neuroimaging Initiative |
    1000 Förderprogramm -
    1000 Fördernummer W81XWH-12-2-0012
  3. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm DynaMORE
    1000 Fördernummer 777084
  4. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm subprojects C04, Z03
    1000 Fördernummer CRC 1193
  5. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01GQ1425A
  6. 1000 joinedFunding-child
    1000 Förderer Leibniz Institute for Resilience Research |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6428870.rdf
1000 Erstellt am 2021-08-12T13:10:34.046+0200
1000 Erstellt von 218
1000 beschreibt frl:6428870
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Thu Aug 18 07:39:49 CEST 2022
1000 Objekt bearb. Wed Aug 18 14:40:04 CEST 2021
1000 Vgl. frl:6428870
1000 Oai Id
  1. oai:frl.publisso.de:frl:6428870 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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