Publications by authors named "Brian Boyd"

Daily living skills (DLS) are one key predictor of autistic adults attending post-secondary education, obtaining employment, and living independently. However, these skills often lag behind typical development for autistic people regardless of their cognitive abilities. Autistic adolescents and their caregivers have indicated a desire for more DLS supports.

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Adults with Down syndrome are genetically predisposed to developing Alzheimer's disease after the age of 40. The cholinergic system, which is critical for cognitive functioning, is known to decline in Alzheimer's disease and although first investigated in individuals with Down syndrome 40 years ago, remains relatively understudied. Existing studies suggest individuals with Down syndrome have an intact cholinergic system at birth that declines through adulthood alongside the development of Alzheimer's disease pathology.

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Autistic individuals have described facing unfair or discriminatory treatment across settings, such as in school and at work. However, there have been few studies examining how widespread or prevalent discrimination is against autistic individuals. We aimed to fill that gap by examining how prevalent or common it is for autistic youth to experience discrimination based on race or ethnicity, sexual orientation or gender identity, and health condition or disability.

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Article Synopsis
  • - Adults with Down syndrome are genetically prone to developing Alzheimer's disease after 40, and their cholinergic system, crucial for cognitive function, shows a decline similar to Alzheimer's pathology.
  • - A study using PET imaging compared cholinergic terminals in 16 non-demented adults with Down syndrome to 20 neurotypically developed individuals, focusing on brain areas like the cerebellum and cortex.
  • - Results revealed that adults with Down syndrome had higher cholinergic terminal density in early adulthood, but experienced a faster decline with age compared to their neurotypical counterparts.
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  • Late-life depression (LLD) might be linked to changes in brain structure and aging, but this study looked to see if brain age could help predict if someone with LLD would relapse.
  • Researchers studied 102 people with LLD and 43 healthy individuals over two years to see how their brain age compared and if it related to relapsing.
  • The results showed that brain age wasn’t different between healthy people and those with LLD, and it didn’t predict whether someone would relapse, which was unexpected based on previous studies.
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Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from expected results, from structural magnetic resonance imaging (MRI) data has become an important proxy task for developing biomarkers that are sensitive to such deviations. Complementary to structural analysis, diffusion tensor imaging (DTI) has proven effective in identifying age-related microstructural changes within the brain white matter, thereby presenting itself as a promising additional modality for brain age prediction.

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Purpose: We sought to conduct a pilot investigation of the reliability and administration fidelity of a new play-based measure of social communication for infants and toddlers with an autism diagnosis.

Method: Our team adapted an existing measure, the Early Communication Indicator (ECI), for use with young autistic children in clinical and research contexts. In this brief report, we detail our adaptation process including administration and scoring of the final adapted measure based on data from a two-phase pilot study with young autistic children ( = 17).

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Recent findings from the Centers for Disease Control and Prevention's (CDC) Autism and Developmental Disabilities Monitoring (ADDM) Network's 2020 prevalence report indicate that disparities in autism diagnoses between Black and White youth have narrowed, reflecting improved screening, awareness, and access to services (Maenner et al., 2023. Morbidity and Mortality Weekly Report.

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Two chemists employed a three-device rapid screening "toolkit" consisting of a handheld Raman spectrometer, transportable mass spectrometer, and portable Fourier transform infrared (FT-IR) spectrometer at an international mail facility (IMF) satellite laboratory to examine unknown (unlabeled/mislabeled) products for the presence of active pharmaceutical ingredients (APIs). Phase I of this project previously demonstrated that this toolkit was the most effective collection of instruments for identifying APIs in product types collected at IMFs during a nationwide mail blitz and Phase II of this project previously demonstrated that results generated using the toolkit during a satellite laboratory pilot program were as reliable as those generated by a full-service library when two or more of these instruments identify an API. This study (Phase III) described the results of the satellite laboratory toolkit during production mode and encompassed the period ranging from June 2021 through December 2022.

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Article Synopsis
  • The REMBRANDT study looks at late-life depression, which can cause problems like forgetting things and being sad again after feeling better.
  • Researchers will enroll 300 older people who either have been treated for depression or have no mental health issues, and observe them for two years.
  • The study aims to figure out what causes depression to come back and how it affects thinking abilities, so they can find ways to help people stay well.
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Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from expected results, from structural magnetic resonance imaging (MRI) data has become an important proxy task for developing biomarkers that are sensitive to such deviations. Complementary to structural analysis, diffusion tensor imaging (DTI) has proven effective in identifying age-related microstructural changes within the brain white matter, thereby presenting itself as a promising additional modality for brain age prediction.

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Prior research has demonstrated that cognitive inflexibility is associated with anxiety in autistic individuals. Everyday patterns of behavioral inflexibility (e.g.

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Background: Lesbian, gay, bisexual, transgender, or queer (LGBTQ+) people and disabled people experience disparities in access to health care compared with others. However, we have yet to understand how health care disparities may be further exacerbated at the intersection of disability and LGBTQ+ identity, particularly among autistic people.

Objectives: The primary goals of this study were to (1) examine differences in unmet health care needs and health status between LGBTQ+ autistic people and straight/cisgender autistic people and (2) explore how state policies and demographics predict the unmet health care needs of the autistic LGBTQ+ people.

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Feeding problems are common among autistic children and are linked to negative health consequences. Therefore, understanding feeding problems and factors that influence these behaviors is important for developing supports for children and families. While certain sensory processing patterns are commonly associated with feeding problems, less is known about the link between sensory processing and feeding behaviors in autism, as well as how parent behaviors and feelings during mealtime differ based on child sensory preferences.

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Background: Breast cancer remains the most common nonskin cancer among women. Prophylactic methods for reducing surgical-site complications after immediate breast reconstruction (IBR) are crucial to prevent acellular dermal matrices or prosthesis exposure and loss. The authors assessed the impact of closed-incision negative-pressure wound therapy (ciNPWT) versus standard dressings (ST) after IBR on surgical-site complications, superficial skin temperature (SST), skin elasticity, and subjective scar quality, to determine the potential benefit of prophylactic ciNPWT application.

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Background: Late-life depression (LLD) is characterized by differences in resting state functional connectivity within and between intrinsic functional networks. This study examined whether clinical improvement to antidepressant medications is associated with pre-randomization functional connectivity in intrinsic brain networks.

Methods: Participants were 95 elders aged 60 years or older with major depressive disorder.

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A satellite laboratory "toolkit" consisting of a handheld Raman spectrometer, portable direct analysis in real-time mass spectrometer (DART-MS) and portable Fourier transform infrared (FT-IR) spectrometer was employed to examine 926 pharmaceutical, unknown and dietary supplement products collected at an international mail facility (IMF) for the presence of declared and undeclared active pharmaceutical ingredients (APIs) over the course of 68 working days. The toolkit successfully identified over 650 APIs, including over 200 unique APIs, using two or more devices. The performance of each individual device, and toolkit as a whole, were evaluated on all products and a subset of the products was forwarded to full-service laboratories for confirmatory analysis to determine false positive and false negative rates of the toolkit.

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This article argues that using groups of individuals that specifically focus on addressing issues with diversity in autism research and autism intervention development are key in ensuring that a greater amount of racial, ethnic, and gender diverse autistic individuals are included in the research and that the research is addressing the needs of these individuals and groups. We call these groups a diversity advisory board. A diversity advisory board will help improve diversity in autism research and intervention development by making sure that autism researchers (1) are intentional about addressing issues of diversity in their research and (2) are able to recruit a greater number of autistic individuals with diverse identities, and (3) by giving greater consideration to the context of diverse autistic individuals which will help autism-focused interventions work better in community settings.

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A robust medical image computing infrastructure must host massive multimodal archives, perform extensive analysis pipelines, and execute scalable job management. An emerging data format standard, the Brain Imaging Data Structure (BIDS), introduces complexities for interfacing with XNAT archives. Moreover, workflow integration is combinatorically problematic when matching large amount of processing to large datasets.

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Background: There are a growing number of evidence-based interventions (EBIs) for autistic individuals, but few are successfully implemented with fidelity in under-resourced communities and with families from traditionally disenfranchised groups. Implementation science offers tools to increase EBI use in communities, but most implementation strategies are designed specific to a single EBI. It is not feasible to develop a new implementation strategy each time a new EBI is introduced in the community.

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Purpose: In echo-planar diffusion-weighted imaging, correcting for susceptibility-induced artifacts typically requires acquiring pairs of images, known as blip-up blip-down acquisitions, to create an undistorted volume as a target to correct distortions that are often focal where regions with differences in magnetic susceptibility interface, such as the frontal and temporal areas. However, blip-up blip-down acquisitions are not always available, and distortion effects may not be specifically localized to such areas, with subtle effects potentially extending throughout the brain. Here, we apply a deep learning technique to generate an undistorted volume to correct susceptibility-induced artifacts and demonstrate implications for image fidelity and diffusion-based inference outside of areas where high focal distortion is present.

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The Behavioral Inflexibility Scale (BIS) is a recently developed measure of behavioral inflexibility, defined as rigid patterns of behavior that contrast with the need to be flexible when the situation calls for it. In this study, we sought to replicate previous findings on the psychometric properties of the BIS in a community sample. Data for this study were collected using in-person assessments of 163 autistic and 95 non-autistic children ages 3-17 and included the BIS, measures of social-communication ability and repetitive behaviors, and an assessment of cognitive ability.

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One of the earliest indicators of autism spectrum disorder (ASD) is delay in language and social communication. Despite consensus on the benefits of earlier diagnosis and intervention, our understanding of the language growth of children with ASD during the first years of life remains limited. Therefore, this study compared communication growth patterns of infants and toddlers with ASD to growth benchmarks of a standardized language assessment.

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