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Vet Sci

December 2024

Center for Animals and Public Policy, Cummings School of Veterinary Medicine, Tufts University, 200 Westboro Rd., North Grafton, MA 01536, USA.

Youth mental health interventions incorporating trained therapy animals are increasingly popular, but more research is needed to understand the specific interactive behaviors between participants and therapy dogs. Understanding the role of these interactive behaviors is important for supporting both intervention efficacy and animal welfare and well-being. The goal of this study was to develop ethograms to assess interactive behaviors (including both affiliative and stress-related behaviors) of participants and therapy dogs during a social stress task, explore the relationship between human and dog behaviors, and assess how these behaviors may vary between experimental conditions with varying levels of physical contact with the therapy dog.

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Article Synopsis
  • Family involvement is really important for people with dementia in long-term care, but it can be tough for families to connect as the disease gets worse.
  • Laughter Care is a special program using humor and play to help both people with dementia and their families have fun and communicate better.
  • The study found that families often become more open to Laughter Care after seeing how it helps their loved ones enjoy life, which also teaches them new ways to connect.
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Expectancy Does Not Predict 18-month Treatment Outcomes with Cognitive Training in Mild Cognitive Impairment.

J Prev Alzheimers Dis

January 2024

Jeffrey N. Motter, Department of Psychiatry, Division of Geriatric Psychiatry, 1051 Riverside Drive, New York, NY 10032, United States. Email:

Background: Computerized cognitive training (CCT) has emerged as a potential treatment option for mild cognitive impairment (MCI). It remains unclear whether CCT's effect is driven in part by expectancy of improvement.

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MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.

Radiology

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From the Department of Radiology, Division of Neuroradiology, Alzheimer Disease Imaging Research Laboratory (C.O.L., J.R.P.), and Neurocognitive Disorders Program, Departments of Psychiatry and Medicine (P.M.D.), Duke University Medical Center, DUMC-Box 3808, Durham, NC 27710-3808; and Duke Institute for Brain Sciences (P.M.D.) and Department of Electrical and Computer Engineering, Department of Computer Science, Department of Biostatistics and Bioinformatics (L.Z., M.A.M.), Duke University, Durham, NC.

Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learning techniques can detect complex patterns in MRI data and have potential for noninvasive characterization of ATN status.

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Purpose: Our study addresses three main questions: (a) Do autistics and neurotypicals produce different patterns of disfluencies, depending on the experimenter's direct versus averted gaze? (b) Are these patterns correlated to gender, skin conductance responses, fixations on the experimenter's face, alexithymia, or social anxiety scores? Lastly, (c) can eye-tracking and electrodermal activity data be used in distinguishing listener- versus speaker-oriented disfluencies?

Method: Within a live face-to-face paradigm combining a wearable eye-tracker with electrodermal activity sensors, 80 adults (40 autistics, 40 neurotypicals) defined words in front of an experimenter who was either staring at their eyes (direct gaze condition) or looking elsewhere (averted gaze condition).

Results: Autistics produce less listener-oriented (, ) and more speaker-oriented (prolongations, breath) disfluencies than neurotypicals. In both groups, men produce less than women.

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