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Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer’s disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18–94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.

Background: Major prevention trials for Alzheimer's disease (AD) are now focusing on multidomain lifestyle interventions. However, the exact combination of behavioral factors related to AD pathology remains unclear. In two cohorts of cognitively unimpaired individuals at risk of AD, we examined which combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle (years of education or lifetime cognitive activity) related to the pathological hallmarks of AD, amyloid-beta and tau deposits.Methods: Some 115 older adults with a parental or multiple-sibling family history of sporadic AD (PREVENT-AD cohort) underwent amyloid and tau positron emission tomography (PET) and answered several questionnaires related to behavioral attributes. Separately, we studied 117 mutation carriers from the Dominantly Inherited AD (DIAN) cohort with amyloid PET and behavioral data. Using partial least squares analysis, we identified latent variables relating amyloid or tau pathology with combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle. Results:In PREVENT-AD, lower neuroticism, neuropsychiatric burden and higher education were associated with less amyloid deposition (p=0.014). Lower neuroticism and neuropsychiatric features, along with higher measures of openness and extraversion, were related to less tau deposition (p=0.006). In DIAN, lower neuropsychiatric burden and higher education were also associated with less amyloid (p=0.005). The combination of these factors accounted for up to 14% of AD pathology. Conclusions:In the preclinical phase of both sporadic and autosomal dominant AD, multiple behavioral features were associated with AD pathology. These results may suggest potential pathways by which multi-domain interventions might help delay AD onset or progression.

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The collaborative contagion model is the culmination of a three-year project designed irst to develop a curriculum in business ethics and entrepreneurship (BE&E), then to increase the adoption of that curriculum by leveraging professional educators' established networks. The development of a new curriculum, the collaborative portion of the program, was accomplished through a series of four-day, in-person disruptive innovation workshops (DIWs), after which educators continued their working relationships in a specially developed online community. To distribute this curriculum, we developed the contagion portion of the model, through which we encouraged and incentivized not only adoption of the curriculum on the part of the participants themselves, but also on the part of people in their broader networks. After our irst year of workshops, 18 K-12 and 21 higher education participants helped formulate 10 modules and 60 grade-speciic K-12 lesson plans. We have established pilot programs at 13 separate institutions, and built partnerships with seven organizations. These early results indicate that the collaborative contagion model is a viable, and potentially strong method by which curricular materials can be developed, and then disseminated to a broad audience.