BACKGROUND: Physical disability in individuals with cerebral palsy (CP) creates lifelong mobility challenges and healthcare costs. Despite this, very little is known about how infants at high risk for CP learn to move and acquire early locomotor skills, which set the foundation for lifelong mobility. The objective of this project is to characterize the evolution of locomotor learning over the first 18 months of life in infants at high risk for CP. To characterize how locomotor skill is learned, we will use robotic and sensor technology to provide intervention and longitudinally study infant movement across three stages of the development of human motor control: early spontaneous movement, prone locomotion (crawling), and upright locomotion (walking).

STUDY DESIGN: This longitudinal observational/intervention cohort study (ClinicalTrials.gov Identifier: NCT04561232) will enroll sixty participants who are at risk for CP due to a brain injury by one month post-term age. Study participation will be completed by 18 months of age. Early spontaneous leg movements will be measured monthly from 1 to 4 months of age using inertial sensors worn on the ankles for two full days each month. Infants who remain at high risk for CP at 4 months of age, as determined from clinical assessments of motor function and movement quality, will continue through two locomotor training phases. Prone locomotor training will be delivered from 5 to 9 months of age using a robotic crawl training device that responds to infant behavior in real-time. Upright locomotor training will be delivered from 9 to 18 months of age using a dynamic weight support system to allow participants to practice skills beyond their current level of function. Repeated assessments of locomotor skill, training characteristics (such as movement error, variability, movement time and postural control), and variables that may mediate locomotor learning will be collected every two months during prone training and every three months during upright training.

DISCUSSION: This study will develop predictive models of locomotor skill acquisition over time. We hypothesize that experiencing and correcting movement errors is critical to skill acquisition in infants at risk for CP and that locomotor learning is mediated by neurobehavioral factors outside of training. 1R01HD098364-01A1. NCT04561232.

BACKGROUND: Family empowerment in families of young children with cerebral palsy (CP) is an important consideration because the first few years of life can be overwhelming for parents. The purpose of this research was to investigate the relationship between family empowerment, fine motor (FM), gross motor (GM), and cognitive development in children with CP who were under three years of age.

METHODS: Forty-one children with a mean age of 23.8 months participated in this study. The FES was completed by the participants' parents while the FM, GM, and cognitive subscales of the Bayley Scales of Infant and Toddler Development Third edition (B-III) were administered by physical therapists.

RESULTS: Statistically significant positive correlations were found between the FES total and B-III raw scores for FM, GM, and cognitive subscales with coefficients ranging from 0.35-0.41. Significant relationships were also found between the FES Community subscale and the B-III FM, GM, and cognitive subscales.

CONCLUSIONS: This study provides evidence of a relationship between family empowerment and FM, GM, and cognitive abilities in young children with CP, with a greater severity of impairments related to lower levels of caregiver empowerment.

BACKGROUND: The measurement of gait is likely influenced by walking speed in children with hemiplegia, but this relationship is not well characterized.

RESEARCH QUESTION: What is the influence of walking speed on spatiotemporal and symmetry measures of gait in children with hemiplegia, with consideration of side and footwear condition?

METHODS: Children with hemiparetic gait due to stroke were recruited for a small pilot intervention study. Participants walked at self-selected and fast speeds while barefoot and while wearing shoes. Data from baseline sessions were included in this analysis. The influence of walking speed on five spatiotemporal gait measures was determined using a generalized estimating equation to calculate the proportion of variability in the gait measures that was explained by walking speed. Differences between sides and footwear conditions, and the relationships between walking speed and two symmetry measures, are also reported.

RESULTS: A total of 820 steps were analyzed from ten children (11.2 ± 4.1 years). Walking velocity significantly influenced all spatiotemporal measures of gait. As speed increased, step length increased and all temporal measures decreased, on both paretic and nonparetic sides. Wearing shoes increased step length and stance time for both paretic and nonparetic sides, and slowed step time on the nonparetic side. Regardless of footwear, the paretic side demonstrated slower step and swing times, and faster stance and single support times. We did not observe significant relationships between walking speed and gait symmetry.

SIGNIFICANCE: Our observations suggest that walking speed alone influences the spatiotemporal measurement of gait in children with hemiplegia and should be considered in the interpretation of walking function. Yet, controlling for walking speed is often not feasible or not preferred in this population. We offer suggestions for clinicians and researchers who seek to measure gait during overground walking at freely-selected speeds.

BACKGROUND: Children with hemiplegia often demonstrate gait deviations including increased variability and asymmetry. Step-to-step gait variability decreases over childhood and increases in the presence of neurologic dysfunction. Gait variability in children with hemiplegia should therefore be interpreted in reference to age-related norms RESEARCH QUESTION: Does conversion of the enhanced gait variability index (eGVI) to age-normalized z-scores improve interpretation of gait variability in children with hemiplegia?

METHODS: Ten children (11.2 +/- 4.1 years) with hemiparetic gait due to stroke were recruited for a small prospective pilot intervention study. Participants walked at self-selected speed over an instrumented walkway while barefeet and while wearing shoes. eGVI values from baseline sessions were calculated and converted to age-normalized z-scores (eGVI) based on published norms. Differences in gait variability between sides and footwear conditions, and its relationship to walking speed, were examined.

RESULTS: There were no differences in raw eGVI or eGVI between paretic and nonparetic sides (eGVI p = 0.31; eGVI p = 0.31) or between footwear conditions (eGVI p = 0.62; eGVI p = 0.33). Average raw eGVI values were just over two standards deviations above the reference mean of 100 (121.2, 122.1, 120.3 for mean (average of both limbs), nonparetic side and paretic side, respectively), indicating significantly greater step-to-step gait variability than in typical gait. However, when converted to age-normalized z-scores (eGVI), variability deviated less from the normative sample, averaging just over one standard deviation above the reference mean (1.2, 1.3, 1.1 for mean, nonparetic side and paretic side, respectively). We also observed a relationship between eGVI and walking speed in our sample.

SIGNIFICANCE: We suggest that eGVI values in children be converted to z-scores or otherwise age-normalized so as not to inflate the degree of variability reported in clinical pediatric populations. Future work with larger samples will offer greater insight into gait variability in various clinical pediatric populations.

<p><strong>AIMS: </strong>Typical infant movement is characterized by a high degree of motor exploration, error, and variability. However, children with cerebral palsy (CP) often cannot create these experiences due to their neuromotor impairments. The purpose of this case study is to describe a 6-month course of physical therapy (PT) incorporating principles of infant motor learning using dynamic weight support (DWS) in a child with CP.</p>

<p><strong>METHODS: </strong>The child was a 27-month-old girl with diplegic CP who functioned at Gross Motor Function Classification System Level IV. The child received 68 PT sessions over a six-month period. DWS was used during therapy to encourage motor practice. The therapy area was arranged to encourage active exploration, motor variability, and error experience. Gross motor function, postural control, parent perception of performance, and parent satisfaction were measured before, during, and after the course of therapy.</p>

<p><strong>RESULTS: </strong>Gross motor function increased during the treatment beyond the level predicted from natural progression. Postural control fluctuated and demonstrated no appreciable improvement. Parent-perceived performance and satisfaction improved on three of four goals.</p>

<p><strong>CONCLUSIONS: </strong>Using DWS to incorporate principles of infant learning may have facilitated the development of gross motor skills in a child with diplegic CP.</p>

<p><strong>BACKGROUND: </strong>Early detection of delay or impairment in motor function is important to guide clinical management and inform prognosis during a critical window for the development of motor control in children. The purpose of this study was to investigate the ability of biomechanical measures of early postural control to distinguish infants with future impairment in motor control from their typically developing peers.</p>

<p><strong>METHODS: </strong>We recorded postural control from infants lying in supine in several conditions. We compared various center of pressure metrics between infants grouped by birth status (preterm and full term) and by future motor outcome (impaired motor control and typical motor control).</p>

<p><strong>RESULTS: </strong>One of the seven postural control metrics-path length-was consistently different between groups for both group classifications and for the majority of conditions.</p>

<p><strong>CONCLUSIONS: </strong>Quantitative measures of early spontaneous infant movement may have promise to distinguish early in life between infants who are at risk for motor impairment or physical disability and those who will demonstrate typical motor control. Our observation that center of pressure path length may be a potential early marker of postural instability and motor control impairment needs further confirmation and further investigation to elucidate the responsible neuromotor mechanisms.</p>

<p><strong>IMPACT: </strong>The key message of this article is that quantitative measures of infant postural control in supine may have promise to distinguish between infants who will demonstrate future motor impairment and those who will demonstrate typical motor control. One of seven postural control metrics-path length-was consistently different between groups. This metric may be an early marker of postural instability in infants at risk for physical disability.</p>

<p>An infant's risk of developing neuromotor impairment is primarily assessed through visual examination by specialized clinicians. Therefore, many infants at risk for impairment go undetected, particularly in under-resourced environments. There is thus a need to develop automated, clinical assessments based on quantitative measures from widely-available sources, such as videos recorded on a mobile device. Here, we automatically extract body poses and movement kinematics from the videos of at-risk infants (N = 19). For each infant, we calculate how much they deviate from a group of healthy infants (N = 85 online videos) using a Naïve Gaussian Bayesian Surprise metric. After pre-registering our Bayesian Surprise calculations, we find that infants who are at high risk for impairments deviate considerably from the healthy group. Our simple method, provided as an open-source toolkit, thus shows promise as the basis for an automated and low-cost assessment of risk based on video recordings.</p>

<p>The World Health Organization estimates that 15 million infants are born preterm every year [1]. This is of concern because these infants have a significant chance of having neuromotor or cognitive developmental delays due to cerebral palsy or other developmental issues [2]. Our long-term goal is to determine the roles emotion and movement play in the diagnosis of atypical infants. In this paper, we examine how automated emotion assessment may have potential to classify typically and atypically developing infants. We compare a custom supervised machine learning algorithm that utilizes individual and grouped facial features for infant emotion classification with a state-of-the-art neural network. Our results show that only three concavity features are needed for the concavity algorithm, and the custom algorithm performed with relatively similar performance to the neural network. Automatic sentiment labels used in tandem with infant movement kinematics would be further investigated to determine if emotion and movement are interdependent and predictive of an infant's neurodevelopmental delay in disorders such as cerebral palsy.</p>

<p><strong>PURPOSE: </strong>To investigate foot and ankle somatosensory function in children with cerebral palsy (CP).</p>

<p><strong>METHODS: </strong>Ten children with spastic diplegia (age 15 ± 5 y; GMFCS I-III) and 11 typically developing (TD) peers (age 15 ± 10 y) participated in the study. Light touch pressure and two-point discrimination were assessed on the plantar side of the foot by using a monofilament kit and an aesthesiometer, respectively. The duration of vibration sensation at the first metatarsal head and medial malleolus was tested by a 128 Hz tuning fork. Joint position sense and kinesthesia in the ankle joint were also assessed.</p>

<p><strong>RESULTS: </strong>Children with CP demonstrated significantly higher light touch pressure and two-point discrimination thresholds compared to their TD peers. Individuals with CP perceived the vibration stimulus for a longer period compared to the TD participants. Finally, the CP group demonstrated significant impairments in joint position sense but not in kinesthesia of the ankle joints.</p>

<p><strong>CONCLUSIONS: </strong>These findings suggest that children with CP have foot and ankle tactile and proprioceptive deficits. Assessment of lower extremity somatosensory function should be included in clinical practice as it can guide clinicians in designing more effective treatment protocols to improve functional performance in CP.</p>

<p><strong>Background: </strong>It is unknown what role specific tasks associated with personal care, positioning, communication and social interaction, and comfort and emotions play in predicting the overall health and quality of life of individuals with non-ambulatory cerebral palsy (CP). In this study, we prospectively evaluated which of these factors were significant predictors of overall health and quality of life.</p>

<p><strong>Methods: </strong>Parents and guardians of non-ambulatory children, adolescents and young adults with CP were prospectively recruited from the Cerebral Palsy Clinic of a large pediatric academic hospital. Caregivers completed the CP Child Questionnaire®. Univariate analyses were used to identify relationships between overall health, overall quality of life (QOL), and responses in the following categories: personal care and activities of daily living, positioning and transfer mobility, comfort and emotions, and communication and social interaction. Significant predictors of overall health and QOL were then determined via logistic regression.</p>

<p><strong>Results: </strong>64 patients ages 0-20 years and Gross Motor Function Classification System levels IV and V were included in our study (mean age 9.16 ±4.96 years). Overall QOL (OR 194.2, 95% CI, 9.5-3964.9) and comfort while sitting (OR 15.9, 95% CI, 1.2-205.3) were significant predictors of overall health. Feelings of unhappiness or sadness (OR 59.9, 95% CI, 1.6-2209.8), difficulty understanding the parent or guardian (OR 29.8, 95% CI, 1.6-543.7), and not attending school (OR 57.2, 95% CI, 2.6-1274.4) were significant predictors of lower overall quality of life.</p>

<p><strong>Conclusions: </strong>Overall QOL appears to predict overall health. Factors associated with comfort and emotions and communication and social interaction appear to predict overall QOL to a greater extent than personal care and transfer mobility. Level of Evidence: Prognostic II.</p>