Publications by authors named "R Blythe Schultz"

Background: Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS.

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fertilization (IVF) is a non-coital method of conception used to treat human infertility. Although IVF is viewed as largely safe, it is associated with adverse outcomes in the fetus, placenta, and adult offspring life. Because studies focusing on the effect of IVF on the male reproductive system are limited, we used a mouse model to assess the morphological and molecular effects of IVF on male offspring.

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Article Synopsis
  • - The study aims to explore the mirror-viewing experiences of African-American women with obesity, highlighting how this demographic faces unique emotional and body image challenges influenced by family, culture, and societal bias.
  • - Thirteen participants shared their experiences, revealing themes such as dissatisfaction with self-image, the struggle with obesity, and the tension between societal expectations and body acceptance.
  • - The research underscores the need for targeted interventions focusing on the mirror experience as a potential therapeutic tool to help these women tackle the complexities of obesity and body image in a supportive way.
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Societal expectations for social-emotional behavior differ across sexes; however, diagnostic definitions of autism do not account for this when delineating "typical" versus "atypical." This study examines sex differences in autism in one behavior associated with strong gender biases: smiling. Computer vision was used to quantify smiling in 60 autistic (20 female) and 67 neurotypical (25 female) youth during conversations.

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Head movements play a crucial role in social interactions. The quantification of communicative movements such as nodding, shaking, orienting, and backchanneling is significant in behavioral and mental health research. However, automated localization of such head movements within videos remains challenging in computer vision due to their arbitrary start and end times, durations, and frequencies.

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