Intrinsic functional connectivity strength of SuperAgers in the default mode and salience networks: Insights from ADNI

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dc.contributor.authorKeenan, Haley E.
dc.contributor.authorCzippel, Alexis
dc.contributor.authorHeydari, Sepideh
dc.contributor.authorGawryluk, Jodie R.
dc.contributor.authorMazerolle, Erin L.
dc.date.accessioned2024-03-27T17:34:32Z
dc.date.available2024-03-27T17:34:32Z
dc.date.issued2024
dc.description.abstractThere exists a group of older individuals who appear to be resistant to age-related memory decline. These “SuperAgers” have been shown to demonstrate preservation of cortical thickness and functional connectivity strength across the cortex which positively correlates with memory performance. Over the last decade, roughly 30 articles have been published regarding SuperAgers; however, to our knowledge, no replications of these studies have been published. The current study sought to conceptually replicate Zhang and colleagues’ (2020) findings that SuperAgers demonstrate stronger intrinsic functional connectivity within the default mode (DMN) and salience networks (SN), and that connectivity strength within these networks correlates with memory performance. We identified 20 SuperAgers and 20 matched Normal Agers in the control cohort of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. We compared the functional connectivity strength of the DMN and SN between these groups, and used the Rey Auditory Verbal Learning Test (RAVLT) to evaluate correlations between functional connectivity and memory performance. Our results did not replicate Zhang and colleagues’ (2020) results, as we found negligible differences between SuperAgers and Normal Agers in the DMN and SN, and no significant correlations between functional connectivity and memory performance after accounting for multiple comparisons. More replications are needed to confirm existing work. In addition, more research with larger SuperAger samples and more consistent definitions of SuperAging is needed, so that we can better understand this remarkable group of older adults.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis work was supported by Research Nova Scotia [no grant number]; and the Natural Sciences and Engineering Research Council of Canada (NSERC) [grant number RGPIN/21-02393]. Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.;Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.
dc.identifier.citationKeenan, H. E., Czippel, A., Heydari, S., Gawryluk, J. R., & Mazerolle, E. L. (2024). Intrinsic functional connectivity strength of SuperAgers in the default mode and salience networks: Insights from ADNI. Aging Brain, 5, 100114. https://doi.org/10.1016/j.nbas.2024.100114
dc.identifier.urihttps://doi.org/10.1016/j.nbas.2024.100114
dc.identifier.urihttps://hdl.handle.net/1828/16306
dc.language.isoen
dc.publisherAging Brain
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectsuccessful aging
dc.subjectSuperAging
dc.subjectfunctional connectivity
dc.subjectdefault mode network
dc.subjectsalience network
dc.subject.departmentDepartment of Psychology
dc.subject.departmentSchool of Medical Sciences
dc.subject.departmentDivision of Medical Sciences
dc.titleIntrinsic functional connectivity strength of SuperAgers in the default mode and salience networks: Insights from ADNI
dc.typeArticle

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