Introduction-Autism spectrum disorder (ASD) represents a heterogeneous cluster of clinical phenotypes that are classically diagnosed by the time of adolescence. The possibility of late-life emergence of ASD has been poorly explored.Methods-In order to more fully characterize the possibility of late-life emergence of behaviors characteristic of ASD in MCI and AD, we surveyed caregivers of 142 older persons with cognitive impairment from the University of Kentucky Alzheimer's Disease Center Longitudinal Cohort using the Gilliam Autism Rating Scale-2.Results-Participants with high autism index ratings (Autism 'Possible/Very Likely', n=23) reported significantly (statistically and clinically) younger age at onset of cognitive impairment than those who scored in the Autism 'Unlikely' range (n=119): 71.14±10.9 vs. 76.65±8.25 (p = 0.034). Additionally, those in Autism 'Possible/Very Likely' group demonstrated advanced severity of cognitive impairment, indicated by Clinical Dementia Rating Scale Sum of Boxes scores.Discussion-Data demonstrate that ASD behaviors may appear de novo of degenerative dementia and such behaviors are more prevalent in those with early onset dementia. Further work elucidating a connection between ASD and dementia could shed light on subclinical forms of ASD, identify areas of shared neuroanatomic involvement between ASD and dementias, and provide valuable insights that might hasten the development of therapeutic strategies.

Social distancing guidelines during COVID can be isolating, especially for older adults, with potential for poor health outcomes. Technology offers opportunities for remote connection, yet, older adults’ use of and perspectives on technology during this time remain largely unknown. The purpose of this study was to gain insight into older adults’ technology use and preferences to inform the development of a technology training intervention to support older adult well-being. Semi-structured interviews were conducted with 30 older adults. Interviews were analyzed using an iterative, constant comparison approach. Findings were consistent with Socioemotional Selectivity Theory; respondents were primarily interested in technology to support emotionally meaningful goals. Participants indicated limited interest in technology training, referencing diminished future time perspectives to explain disinterest. Findings suggest that efforts to encourage older adults’ expanded technology adoption should highlight how use supports emotionally meaningful goals and provide low-effort, timely training, tied to specific and clear applications.

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Mild cognitive impairment (MCI) or dementia often leads to behavioral and psychiatric symptoms of dementia (BPSD). Sensory processing abnormalities may be associated with BPSD. The purpose of this study was to explore relationships among sensory processing, behavior, and environmental features within the homes of people with MCI or dementia. This project used mixed methods to assess participants’ sensory processing, care partner perspectives on behaviors, and in situ observations of the home environment. Nine participants with cognitive impairment (MCI n = 8, early dementia = 1) and their care partners were included. Seven participants with cognitive impairment were reported to have abnormal sensory processing. Findings suggest that unique environmental adaptations, tailored to personal and sensory preferences for each participant, were associated with a decreased level of behavioral disruption during the observation periods. Implementing sensory-based approaches to maximize environment adaptation may be beneficial in reducing disruptive behaviors for adults with cognitive impairment.

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