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Alzheimer’s disease (AD) appears to target a set of distributed brain systems or networks.
These networks are not static: at the individual level, dynamic brain states occur
on the time scale of seconds, while network organization changes as part of normal
aging occur on the scale of decades. Given the fact that aging is a major risk factor
for degenerative disease and age of onset has been linked to AD phenotype, changes
in dynamic functional connectivity may underlie the relationship between aging and
AD. We explored the relationship between dynamic brain states, age and AD pathophysiology
(tau PET) in a sample of cognitively unimpaired and cognitively impaired participants
spanning a large age range.
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