Autism Spectrum Disorder (ASD) has traditionally been evaluated and diagnosed via behavioral assessments. However, increasing research suggests that neuroimaging as early as infancy can reliably identify structural and functional differences between autistic and non-autistic brains. The current review provides a systematic overview of imaging approaches used to identify differences between infants at familial risk and without risk and predictive biomarkers. Two primary themes emerged after reviewing the literature: (1) neuroimaging methods can be used to describe structural and functional differences between infants at risk and infants not at risk for ASD (descriptive), and (2) neuroimaging approaches can be used to predict ASD diagnosis among high-risk infants and developmental outcomes beyond infancy (predicting later diagnosis). Combined, the articles highlighted that several neuroimaging studies have identified a variety of neuroanatomical and neurological differences between infants at high and low risk for ASD, and among those who later receive an ASD diagnosis. Incorporating neuroimaging into ASD evaluations alongside traditional behavioral assessments can provide individuals with earlier diagnosis and earlier access to supportive resources.

With the onset of the COVID-19 pandemic, researchers have been faced with challenges in maintaining interdisciplinary research collaborations. The purpose of this article is to apply and expand a previously introduced model to sustaining new interdisciplinary research collaborations: Forging Alliances in Interdisciplinary Rehabilitation Research (FAIRR). FAIRR is a logic model that can be used as a guide to create interdisciplinary rehabilitation research teams. In this article, the authors propose expanding FAIRR by including strategies for sustaining interdisciplinary rehabilitation research collaborations: modifying inputs (resources needed to assemble a team and to conduct research activities), shifting activities (steps taken to move the interdisciplinary collaboration forward), and examining what impacts the fit between inputs and activities. Two examples are used to highlight the application of the FAIRR model to interdisciplinary collaborations during COVID-19.

Motor functioning in persons with serious mental illness (SMI) is not well studied. We assessed motor functioning in people with SMI (n = 15) vs. adults with obesity (n = 15) and healthy controls (n = 15). Motor skills were assessed using balance and coordination tests. Motor planning and performance were assessed in Obstacle and Metronome Walking Tasks. The SMI group scored lower on balance and coordination tests (all ps < 0.001), and took longer steps when approaching obstacles (all ps < 0.001), but had unimpaired motor performance on the Metronome Walking Task. In obesity, excess body mass impairs motor skills, which adversely impacts motor performance. In persons with SMI, motor performance was unimpaired, with cognitive and neuroanatomical abnormalities likely underlying balance, coordination, and motor skill challenges.

Background/Objectives: In both typical and atypical development, there is growing evidence that motor development sets the stage for development in other domains. This study aims to examine the feasibility of conducting cognitive and motor research-based tasks in a virtual reality (VR) environment with concurrent neuroimaging (functional near-infrared spectroscopy, or fNIRS) in autistic children. Methods: During a single study visit, participants will complete research-based tasks conducted in a virtual reality environment while wearing the fNIRS apparatus. Supplementary procedures will include a range of standardized assessments and questionnaires for caregivers and their children to complete. Anticipated Outcomes: These methods will yield a rich combination of data -- the kinematic data associated with performance during the research-based tasks, as well as the neural correlates underlying this performance. Conclusions: The overarching, long-term goal of this feasibility study is to explore the interrelationships between cognitive, motor, and social development in autistic children using a variety of research methodologies. A better understanding of these relationships and their neural correlates will inform future research, assessment methods, and intervention strategies across the autism spectrum.