INS NYC 2024 Program

Poster

Poster Session 10 Program Schedule

02/17/2024
09:00 am - 10:15 am
Room: Majestic Complex (Posters 61-120)

Poster Session 10: Neurodevelopmental | Congenital Conditions


Final Abstract #67

An Examination of Motor Differences Among Neurodevelopmental Populations

Brenda Mitchell, MA, University of Texas Health Sciences Center at Houston, Houston, United States
Yasmine Bensidi-Slimane, MS, University of Texas Health Sciences Center at Houston, Houston, United States
Antonio Pagán, PhD, University of Texas Health Sciences Center at Houston, Houston, United States
Deborah Pearson, PhD, University of Texas Health Sciences Center at Houston, Houston, United States

Category: Autism Spectrum Disorders/Developmental Disorders/Intellectual Disability

Keyword 1: pediatric neuropsychology
Keyword 2: motor function
Keyword 3: child development disorders

Objective:

Although Autism Spectrum Disorder (ASD) and Developmental Coordination Disorder (DCD) are thought to share behavioral, motor, and skill-set impairments, research is limited in this area (Kilroy et al., 2022; Sumner et al., 2016). Motor development is an important precursor skill to social and cognitive development (Leonard & Hill, 2014).  For this reason, motor skills may predict later social functioning within these populations (Kilroy et al., 2022). Although motor skill deficits are seen in many individuals with ASD, this is not a separate criterion category within the diagnostic manual (Miller et al., 2021). The objective of this study was to examine whether there is a true difference in motor performance in individuals who have DCD and those with comorbid neurodevelopmental diagnoses in addition to DCD (e.g., ASD, ADHD). As individuals with DCD tend to show impairments across motor domains and work more slowly on timed tasks (Dewey et al., 2007; Sumner et al., 2016), this study sought to further examine processing speed performance within these populations.

Participants and Methods:

65 children and adolescents ages 6 to 16 (M age = 9.68, SD = 3.079; 68.4% male; 76.8% White; 83.2% not Hispanic or Latino) completed a comprehensive neuropsychological evaluation in the developmental neuropsychology clinic (DNC) of a large metropolitan medical school). Participants completed the Beery-Buktenica Development Test of Visual-Motor Integration, Sixth Edition (Beery VMI-6; Visual-Motor Integration, Visual Perception, Motor Coordination) and the Processing Speed index (PSI) of the WISC-V. Diagnoses (e.g., ASD, ADHD) were determined based on DSM-5 diagnostic criteria, qualitative observations, and evaluation results (e.g., ADI-R/ADOS-2, parent and teacher behavioral ratings). Clinical diagnosis was provided by a licensed psychologist. ANCOVA techniques were used to examine the relationship between diagnosis(es) and motor variables whilst controlling for age and IQ (SB-5).

Results:

Results indicate there were no significant differences in performance on visual-motor integration [F (3,59) = 1.222, p = .310)] or motor coordination [F (3,59) = 2.219, P = .095) amongst individuals in each of the diagnostic categories examined (DCD; DCD + ASD; DCD + ADHD; DCD + ASD + ADHD). There were significant effects in participant performance on visual perception [F (3,58) = 2.841, p = .046)] and the PSI [F (3, 51) = 3.512), p = .022)]. Specifically, children with comorbid DCD and ADHD performed better than those diagnosed with comorbid DCD, ADHD, and ASD on visual perception (p = .030) and processing speed (p = .016) measures.

Conclusions:

Our findings suggest that school-aged children diagnosed with comorbid neurodevelopmental disorders in addition to DCD have poorer performance on the visual perception subtest of the Beery VMI, and the WISC-V PSI. Therefore, when controlling for age and IQ, there may be motor differences within these populations. Future studies should examine the developmental trajectory of motor development for individuals diagnosed with DCD and ASD. Additionally, future studies should focus on the importance of early intervention within comorbid populations in order to continue to understand the impact of these co-occurring diagnoses.