title: Functional connectivity with the retrosplenial cortex predicts cognitive aging in rats.
abstract: Changes in the functional connectivity (FC) of large-scale brain networks are a prominent feature of brain aging, but defining their relationship to variability along the continuum of normal and pathological cognitive outcomes has proved challenging. Here we took advantage of a well-characterized rat model that displays substantial individual differences in hippocampal memory during aging, uncontaminated by slowly progressive, spontaneous neurodegenerative disease. By this approach, we aimed to interrogate the underlying neural network substrates that mediate aging as a uniquely permissive condition and the primary risk for neurodegeneration. Using resting state (rs) blood oxygenation level-dependent fMRI and a restrosplenial/posterior cingulate cortex seed, aged rats demonstrated a large-scale network that had a spatial distribution similar to the default mode network (DMN) in humans, consistent with earlier findings in younger animals. Between-group whole brain contrasts revealed that aged subjects with documented deficits in memory (aged impaired) displayed widespread reductions in cortical FC, prominently including many areas outside the DMN, relative to both young adults (Y) and aged rats with preserved memory (aged unimpaired, AU). Whereas functional connectivity was relatively preserved in AU rats, they exhibited a qualitatively distinct network signature, comprising the loss of an anticorrelated network observed in Y adults. Together the findings demonstrate that changes in rs-FC are specifically coupled to variability in the cognitive outcome of aging, and that successful neurocognitive aging is associated with adaptive remodeling, not simply the persistence of youthful network dynamics.
authors: Laboratory of Behavioral Neuroscience, National Institute on Aging, Biomedical Research Center, National Institutes of Health (NIH), Baltimore, MD 21224.
authors: Jessica A
authors: JA
authors: Ash
authors: Neuroimaging Research Branch, National Institute on Drug Abuse, Biomedical Research Center, NIH, Baltimore, MD 21224.
authors: Hanbing
authors: H
authors: Lu
authors: Laboratory of Behavioral Neuroscience, National Institute on Aging, Biomedical Research Center, National Institutes of Health (NIH), Baltimore, MD 21224.
authors: Lisa R
authors: LR
authors: Taxier
authors: Laboratory of Behavioral Neuroscience, National Institute on Aging, Biomedical Research Center, National Institutes of Health (NIH), Baltimore, MD 21224.
authors: Jeffrey M
authors: JM
authors: Long
authors: Neuroimaging Research Branch, National Institute on Drug Abuse, Biomedical Research Center, NIH, Baltimore, MD 21224.
authors: Yihong
authors: Y
authors: Yang
authors: Neuroimaging Research Branch, National Institute on Drug Abuse, Biomedical Research Center, NIH, Baltimore, MD 21224.
authors: Elliot A
authors: EA
authors: Stein
authors: Laboratory of Behavioral Neuroscience, National Institute on Aging, Biomedical Research Center, National Institutes of Health (NIH), Baltimore, MD 21224; rappp@mail.nih.gov.
authors: Peter R
authors: PR
authors: Rapp
mesh_terms: D000375:Aging / Q000502:physiology*; D000818:Animals; D001769:Blood; D000066492:Cognitive Aging / Q000502:physiology*; D006179:Gyrus Cinguli / Q000000981:diagnostic imaging / Q000503:physiopathology; D006624:Hippocampus / Q000000981:diagnostic imaging / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008568:Memory / Q000502:physiology; D009410:Nerve Degeneration / Q000000981:diagnostic imaging / Q000503:physiopathology*; D009415:Nerve Net / Q000503:physiopathology; D051381:Rats
keywords: default mode network; functional connectivity; neurocognitive aging; rat model; resting-state fMRI