Background: Early identification of cerebral palsy (CP) during infancy will provide opportunities for early therapies and treatments. The aim of the present study was to present a novel machine-learning model, the Computer-based Infant Movement Assessment (CIMA) model, for clinically feasible early CP prediction based on infant video recordings. Methods: The CIMA model was designed to assess the proportion (%) of CP risk-related movements using a time–frequency decomposition of the movement trajectories of the infant’s body parts. The CIMA model was developed and tested on video recordings from a cohort of 377 high-risk infants at 9–15 weeks corrected age to predict CP status and motor function (ambulatory vs. non-ambulatory) at mean 3.7 years age. The performance of the model was compared with results of the general movement assessment (GMA) and neonatal imaging. Results: The CIMA model had sensitivity (92.7%) and specificity (81.6%), which was comparable to observational GMA or neonatal cerebral imaging for the prediction of CP. Infants later found to have non-ambulatory CP had significantly more CP risk-related movements (median: 92.8%, p = 0.02) compared with those with ambulatory CP (median: 72.7%). Conclusion: The CIMA model may be a clinically feasible alternative to observational GMA.

Background: Early prediction of cerebral palsy (CP) using the General Movement Assessment (GMA) during the fidgety movements (FM) period has been recommended as standard of care in high-risk infants. The aim of this study was to determine the accuracy of GMA, alone or in combination with neonatal imaging, in predicting cerebral palsy (CP). Methods: Infants with increased risk of perinatal brain injury were prospectively enrolled from 2009–2014 in this multi-center, observational study. FM were classified by two certified GMA observers blinded to the clinical history. Abnormal GMA was defined as absent or sporadic FM. CP-status was determined by clinicians unaware of GMA results. Results: Of 450 infants enrolled, 405 had scorable video and follow-up data until at least 18–24 months. CP was confirmed in 42 (10.4%) children at mean age 3 years 1 month. Sensitivity, specificity, positive and negative predictive values, and accuracy of absent/sporadic FM for CP were 76.2, 82.4, 33.3, 96.8, and 81.7%, respectively. Only three (8.1%) of 37 infants with sporadic FM developed CP. The highest accuracy (95.3%) was achieved by a combination of absent FM and abnormal neonatal imaging. Conclusion: In infants with a broad range of neonatal risk factors, accuracy of early CP prediction was lower for GMA than previously reported but increased when combined with neonatal imaging. Sporadic FM did not predict CP in this study.

Objective: The objective of this study was to investigate the influences on motor development in infants who are at low risk from Belgium, India, Norway, and the United States using the General Movement Assessment at 10–16 weeks postterm age. Methods: This was a cross-sectional study of prospectively enrolled full-term infants at low risk (n = 186). Certified General Movement Assessment observers rated the fidgety movements, quality of the movement patterns, age-adequacy of the movement repertoire, postural patterns, movement character, and overall Motor Optimality Score–Revised (MOS-R). Scores were evaluated for associations with sex, birth weight category, gestational age, postterm age at video, and country. Results: The majority of infants had normal fidgety movements (179/186, 96.2%). This did not vary by sex, birth weight, gestational age, postterm age at video, or country. All infants showed normal>atypical movement patterns. Variability was seen for age adequacy (optimal: 137/183, 74.9%), postural patterns (normal>atypical: 164/183, 89.6%), and smooth/ fluent movement character (138/183, 75.4%). Gestational age and postterm age at video were associated with atypical postural patterns, but in multivariable regression, only younger postterm age retained significance (OR = 2.94, 95% CI = 1.05–8.24). Lack of age adequacy was associated with postterm age (OR = 13.15, 95% CI = 4.36–39.72) and country (compared with Norway; Belgium OR = 3.38 95% CI = 12.4–9.22; India OR = 3.16, 95% CI = 1.01–9.87; United States not significant). Infants from India also showed lower rates of an optimal MOS-R (25–28) than infants from Norway. Conclusion: The normality and temporal organization of fidgety movements did not differ by sex, birth weight, postterm age, or country, suggesting that the fidgety movements are free of cultural and environmental influences. The majority of full-term infants who were healthy in this cohort showed normal scores for all aspects of motor development tested using the MOS-R. Differences in age adequacy and MOS-R by country warrant investigation with larger cohorts and longitudinal follow-up. Impact: Understanding variations in typical motor development is essential to interpreting patterns of movement and posture in infants at risk for atypical development. Using the framework of Prechtl’s General Movement Assessment, this study showed that the development of movement and posture in healthy infants was affected by age and country of birth, but the development of the fidgety movements appeared to be free of these influences. Local norms may be needed to interpret the Motor Optimality Score-Revised in all populations, but further research on this topic is needed.

Background/Objectives: Despite evidence of the effectiveness of early intervention (EI) programs, eligible infants often experience delays in initiation of services or fail to receive services entirely. Disparities have been documented, including lower enrollment rates for infants with public insurance. The objective of this pilot study was to evaluate the feasibility of initiating home physical therapy (PT) services promptly after neonatal or cardiac intensive care unit (NICU/CICU) discharge for infants with public insurance and to assess early motor outcomes for children who received study therapy compared with a standard of care group. Methods: Infants were recruited if discharged from a study NICU/CICU, had public insurance, and were eligible for Illinois EI services. Infants living in Chicago (n = 46) received weekly home-based PT from a study therapist until 3–4 months corrected age (CA). Infants living outside Chicago received standard of care services and served as a control group (n = 14). At discharge, infants were referred to EI and underwent the Test of Infant Motor Performance (TIMP). Outcomes at 3–4 months CA included initiation rates for study PT and EI and follow-up TIMP testing. Results: By 3–4 months CA, 78% of the intervention group had received ≥1 PT session. In contrast, just 13% of the entire cohort had received any EI therapy. Infants who had 8–10 PT sessions in the first 3–4 months after discharge were more likely to have a change in the TIMP Z-score of >0.5 SD. Conclusions: Prompt transition to home therapy was feasible for infants with public insurance in an urban setting who may benefit most due to the potential for neuroplastic change. Addressing barriers identified in this study may assist in improving access to EI for young infants.

AIM: To evaluate whether selective motor control quantified from spontaneous infant movement recordings provides diagnostic and prognostic information for cerebral palsy (CP) beyond established movement-based assessments. METHOD: This multicenter diagnostic and prognostic accuracy study included 302 infants (151 with CP) with spontaneous movement recordings obtained between 10 and 20 weeks corrected age from cohorts in Australia and the United States. All eligible infants with CP were included, and a comparison sample without CP was randomly selected. Recordings were scored using the Baby Observational Selective Control Appraisal (BabyOSCAR), Motor Optimality Score Revised (MOS-R), and General Movements Assessment (GMA). Outcomes at 2 years or older included CP diagnosis, Gross Motor Function Classification System (GMFCS) level, and motor distribution. RESULTS: BabyOSCAR discriminated CP diagnosis (area under the curve [AUC] 0.98), including children later classified in GMFCS level I. Among infants with CP, BabyOSCAR discriminated GMFCS levels I - II from III - V (AUC 0.89). BabyOSCAR absolute asymmetry also discriminated unilateral CP from all other infants (AUC 0.90). Diagnostic discrimination was also observed for MOS-R (AUC 0.94) and GMA (AUC 0.86). INTERPRETATION: Quantifying selective motor control from brief infant movement recordings may provide complementary early information about CP diagnosis, functional level, and motor distribution.