Autism spectrum disorders (ASDs) are the most common pediatric diagnoses in the United States. In this perspective article, we propose that a diverse set of motor impairments are present in children and adults with ASDs. Specifically, we will discuss evidence related to gross motor, fine motor, postural control, and imitation/praxis impairments. Moreover, we propose that early motor delays within the first 2 years of life may contribute to the social impairments of children with ASDs; therefore, it is important to address motor impairments through timely assessments and effective interventions. Lastly, we acknowledge the limitations of the evidence currently available and suggest clinical implications for motor assessment and interventions in children with ASDs. In terms of assessment, we believe that comprehensive motor evaluations are warranted for children with ASDs and infants at risk for ASDs. In terms of interventions, there is an urgent need to develop novel embodied interventions grounded in movement and motor learning principles for children with autism.
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http://dx.doi.org/10.2522/ptj.20100294 | DOI Listing |
Eur Radiol
January 2025
Department of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, China.
Objectives: To assess glymphatic function and white matter integrity in children with autism spectrum disorder (ASD) using multi-parametric MRI, combined with machine learning to evaluate ASD detection performance.
Materials And Methods: This retrospective study collected data from 110 children with ASD (80 exploratory, 43 validation) and 68 typically developing children (50 exploratory, 18 validation) from two centers. The automated diffusion tensor imaging along the perivascular space (aDTI-ALPS), fractional anisotropy (FA), cerebrospinal fluid volume, and perivascular space (PVS) volume indices were extracted from DTI, three-dimensional T1-weighted, and T2-weighted images.
BMC Cardiovasc Disord
January 2025
Heart Center, Women and Children's Hospital, Qingdao University, 6 Tongfu Road, Qingdao, 266034, Shandong, China.
Objectives: To evaluate the efficacy and safety of purse-string sutures (PSS) compared with manual compression for access hemostasis in children with atrial septal defects (ASDs) after large-caliber venous delivery sheaths removal.
Methods: We conducted a retrospective clinical data review of 271 children with ASDs who underwent transcatheter device closure through large-caliber venous delivery sheaths (≥ 8 Fr) at our institution from January 2018 to January 2023. The PSS group (n = 144) was compared to the control group (n = 127), which underwent manual compression for femoral venous hemostasis after sheath removal, focusing on hemostatic time, limb braking time, bed rest time, hospital stay, and vascular access complications.
JACC Adv
December 2024
Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Background: Atrial septal defects (ASDs) are a common cause of congenital heart disease worldwide.
Objectives: The purpose of the study was to assess change over time in surgical outcomes for ASD repair and identify patient-level risk factors for adverse postoperative outcomes.
Methods: We analyzed cases of isolated ASD in patients <18 years from 2010 to 2020 from 71 sites participating in the International Quality Improvement Collaborative for Congenital Heart Disease.
Diagnostics (Basel)
December 2024
Computer Science Department, Yarmouk University, Irbid 21163, Jordan.
One of the key challenges in autism is early diagnosis. Early diagnosis leads to early interventions that improve the condition and not worsen autism in the future. Currently, autism diagnoses are based on monitoring by a doctor or specialist after the child reaches a certain age exceeding three years after the parents observe the child's abnormal behavior.
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December 2024
Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms.
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