Predictive validity of spontaneous early infant movement for later cerebral palsy: a systematic review

Breech presentation at birth has short-term but no long-term effect on neurodevelopmental outcome in moderate and late preterm infants

AIM

To investigate the effects of fetal presentation at birth on spontaneous postnatal movements, postures and neurodevelopmental outcome in moderate and late preterm (MLPT) infants.

METHODS

The study population comprised 154 infants (55 % male, 55 % singletons) of whom 33 (21 %) were born in breech presentation. During the neonatal period and at 3-4 months post-term age, categorical Prechtl general movements assessment (GMA) and detailed scoring of motor functions was performed by means of the General Movement Optimality Score (GMOS) neonatally and Motor Optimality Score-Revised (MOS-R) later. Neurodevelopment was assessed at one year using Bayley-III.

RESULTS

Infants born in breech presentation more frequently exhibited pathological GMs (p = 0.05) with increased stiffness in the lower extremities (p < 0.01) at neonatal age. Detailed motor assessments at 3-4 months post-term age (MOS-R) showed lower scores in infants born in breech compared to those with cephalic presentation at birth. Fetal presentation at the time of delivery did not impact neurodevelopmental outcomes at 12 months.

CONCLUSION

Breech presentation at birth affected GMs and movement assessments in the early postnatal period but had no persistent impact on neurodevelopmental outcomes at one year, suggesting a transient effect on lower extremity movements. Given stiffness in the extremities in neonates is an alarm sign and might relate to cramped synchronized GMs indicating an increased risk for cerebral palsy, fetal presentation at birth should be taken into consideration in neonatal neuromotor assessments.

Sex-Related Differences in Hip Kinematics During General Movements in Early Infancy: A Biomechanical Cross-Sectional Study

The General Movements Assessment provides early insight into motor development's range of motion; however, its relationship with joint kinematics, such as hip abduction range of motion, remains underexplored. This study analyzed hip abduction kinematics during General Movements, evaluating potential sex differences and variations in movement patterns (Fidgety vs. Writhing), and aimed to provide quantitative data that complement qualitative pediatric assessments. This cross-sectional observational study analyzed video recordings of spontaneous motor activity in 32 infants under three months of corrected age. Hip abduction range of motion was extracted using biomechanical analysis during General Movements. Interrater reliability was evaluated using Fleiss's Kappa. Correlations were assessed using Pearson's test, and a two-way ANOVA examined the effects of sex and the type of movements on range of motion. Interrater reliability for movement classification was excellent (Kappa = 0.909, p < 0.001). No significant correlations were found between sex or General Movements type and hip abduction range of motion (p > 0.68). Two-way ANOVA showed no significant effects of sex, movement pattern, or their interaction on range of motion in either hip (right: p = 0.726, left: p = 0.823), with small effect sizes (η2 < 0.013). A minor asymmetry favoring the right hip was observed but was not clinically significant. Sex and General Movements type did not significantly influence hip abduction range of motion in infants under three months. Early joint mobility appears consistent across sexes and movement patterns, supporting its reliability as a biomechanical marker of typical development.

Assessment of spontaneous movements of newborns on second or third day of life using computer-aided video analysis

According to current knowledge, impaired spontaneous movements of infants can be an early indicator of developmental difficulties. This study aimed to evaluate velocity, acceleration, and parameters describing the range, nature, and location of individual limb movements in infants with normal pregnancy and delivery histories on the second or third day of life. General Movement Assessment was used to qualitatively assess spontaneous activity, while computer-aided movement analysis provided a quantitative assessment based on video recordings. Statistical analysis revealed significant differences in limb movement parameters between the left and right sides. Additionally, the results indicated that limb movements in infants with writhing movements were dynamic, exhibiting greater range and a circular shape. In contrast, infants with poor repertoire movements showed less variation in mean velocity, acceleration, and range of motion. These findings confirm the feasibility of using computer-aided video analysis to support early neonatal diagnosis by objectifying movement descriptions through quantitative measures, contributing valuable insights to the current understanding of spontaneous movements in newborns, particularly during the second and third days of life.

Translation, cross-cultural adaptation and validation of the General Movement checklist

BACKGROUND

The Prechtl's General Movement Assessment (GMA) is a widely accepted tool for predicting neurodevelopmental outcomes in infants. However, access to formal training in GMA is limited in low- and middle-income countries, such as Mexico. This study aimed to validate the Spanish version of the General Movement checklist (GMC), a tool designed to facilitate the evaluation of general movements, particularly for clinicians with limited experience.

METHODS

An observational, cross-sectional study was conducted on infants with high neurological risk. The inter- and intra-observer reliability of GMC in its original version was analyzed using Cohen's kappa test. The checklist was translated and cross-cultural adapted to Spanish following international guidelines. Its internal consistency was assessed using Cronbach's alpha test. Content validity was determined by a panel of experts (the content validity index (CVI)), criterion and predictive validity were determined using the General Movement Optimality Score-Revised (GMOS-R) and the clinical diagnosis at 2 years corrected age. Receiver Operating Characteristic (ROC) curves were generated to identify the cut-off points on the GMC.

RESULTS

Intra-observer reliability (Kappa = 0.91) and inter-observer reliability (Kappa = 0.75-1.0) demonstrated excellent agreement. Cronbach's alpha was 0.8579. Content validity was strong, with all items achieving a CVI > 0.7. Predictive validity showed high sensitivity (90%) and specificity (92%) when comparing checklist results with the clinical diagnosis.

CONCLUSIONS

The Spanish version of the GMC was validated as a reliable and valid tool to guide the early assessment of neurodevelopmental disorders in Mexican infants. Further studies are recommended to confirm these findings.

White-Matter Connectivity and General Movements in Infants with Perinatal Brain Injury

BACKGROUND/OBJECTIVES

Cerebral palsy (CP), often caused by early brain injury such as perinatal stroke or hemorrhage, is the most common lifelong motor disability. Early identification of at-risk infants and timely access to rehabilitation interventions are essential for improving long-term outcomes. The General Movements Assessment (GMA), performed in the first months of life, has high sensitivity and specificity to predict CP; however, the neurological correlates of general movements remain unclear. This analysis aimed to investigate the relationship between white matter integrity and general movements in infants with perinatal brain injury using advanced neuroimaging techniques.

METHODS

Diffusion-weighted MRI data were analyzed in 17 infants, 12 with perinatal brain injury and 5 typically developing infants. Tractography was used to identify the corticospinal tract, a key motor pathway often affected by perinatal brain injury, and tract-based spatial statistics (TBSS) were used to examine broader white matter networks. Diffusion parameters from the diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) models were compared between infants with and without typical general movements.

RESULTS

Corticospinal tract integrity did not differ between groups when averaged across hemispheres. However, infants with asymmetric general movements exhibited greater corticospinal tract asymmetries. A subset of infants with atypical general movement trajectories at <6 weeks and 3-5 months of age showed reduced corticospinal tract integrity compared to those with typical general movements. TBSS revealed significant differences in white matter integrity between infants with typical and atypical general movements in several white matter pathways, including the corpus callosum, the right posterior corona radiata, bilateral posterior thalamic radiations, the left fornix/stria terminalis, and bilateral tapetum.

CONCLUSIONS

These findings support and expand upon previous research suggesting that white matter integrity across multiple brain regions plays a role in the formation of general movements. Corticospinal integrity alone was not strongly associated with general movements; interhemispheric and cortical-subcortical connectivity appear critical. These findings underscore the need for further research in larger, diverse populations to refine early biomarkers of neurodevelopmental impairment and guide targeted interventions.

General Movements as Predictive Tool of Neurological Outcomes in Term-Born Infants With Hypoxic-Ischemic Encephalopathy at Ages Six and 12 Months

BACKGROUND

To explore the utility of general movements assessment as a predictive tool of the neurological outcome in term-born infants with hypoxic-ischemic encephalopathy (HIE) at ages six and 12 months.

METHODS

This prospective observational study was conducted for 18 months (August 2018 to December 2019). Term-born newborns with HIE were included. General movements videos were recorded at 10 to 14 weeks (50 to 54 weeks postmenstrual age) and assessed. Further development was assessed with Developmental Assessment Scales for Indian Infants (DASII) and Ages and Stages Questionnaire, third edition, (ASQ-3) at ages six and 12 months.

RESULTS

A total of 30 children were enrolled, 19 (63%) had normal fidgety movements (FMs) and 11 (37%) had absent FMs. Motor Optimality Score, Revised, (MOS-R) ranged from 6 to 8 in 11 infants with absent FMs. Among them, one had mild developmental delay (DD), two had moderate DD, and eight had severe DD on the DASII assessments (P < 0.001). Sensitivity between absent FMs and ASQ-3 developmental scales showed that the majority with absent FMs had severe DD. Absent FMs had 81.8% sensitivity and 89.4% specificity for detecting cerebral palsy (CP) (n = 11).

CONCLUSIONS

The assessment of the FMs has a very good predictive value for future neurodevelopmental outcomes. MOS-R can provide a fair estimate of the functional ability of infants who later develop CP, and better MOS-R scores correlate with better outcomes. Children with absent FMs had significantly lower median motor and mental developmental quotients as calculated by DASII at both ages six and 12 months.

General movement assessments in neonates born with congenital gastrointestinal anomalies: a single site, retrospective study

OBJECTIVE

We aimed to characterize general movements in neonates with congenital gastrointestinal anomalies and to compare them to general movements in extremely low birth weight (ELBW) infants.

STUDY DESIGN

This was a retrospective, single-site study. Subjects were divided into two groups: those with gastrointestinal (GI) anomalies and ELBW infants (birth weight <1 kg). The primary outcome was general movement assessments.

RESULT

Ninety-six infants were included (n = 51, GI group and n = 45, ELBW group). The rates of abnormal general movements between the groups were comparable (writhing movements: 61% vs. 59%, p = 0.89; fidgety movements: 20% vs. 36%, p = 0.13). Writhing movements were different (100% poor repertoire, 0% cramped synchronous in the GI group vs. 50% poor repertoire and 50% cramped synchronous in the ELBW group, p < 0.001).

CONCLUSION

Infants with gastrointestinal anomalies are at risk for abnormal general movements. Abnormal fidgety general movements may be an early biomarker for future motor deficits.

General Movements Assessment and Hammersmith Infant Neurological Examination for early diagnosis of cerebral palsy in infants born at term treated with therapeutic hypothermia

AIM

To establish if the General Movements Assessment (GMA) and Hammersmith Infant Neurological Examination (HINE) support the early diagnosis of cerebral palsy (CP) in a cohort of infants who have undergone therapeutic hypothermia.

METHOD

This was a retrospective cohort study from a large single center between 2018 and 2022. Sample size included surviving 112 infants with follow-up (68 males, 44 females) with a mean gestational age of 39 weeks (interquartile range 38-40), diagnosed with moderate or severe neonatal encephalopathy who underwent therapeutic hypothermia. Groups were compared using Fisher's exact and Mann-Whitney U tests.

RESULTS

The absence of normal fidgety movements at the 3-month GMA was highly associated with CP (p < 0.001, sensitivity 89%, specificity 89%). HINE scores were associated with CP at 3 months, 6 months, and 9 months (p < 0.001; sensitivity 82%-90%, specificity 95%-100%). The HINE scores, which optimally differentiated those with and without CP, were less than 47 at 3 months, less than 51 at 6 months, and less than 64 at the 9-month follow-up.

INTERPRETATION

The GMA and HINE were predictive of CP in infants born at term with neonatal encephalopathy who had undergone therapeutic hypothermia. Atypical (absent or abnormal) fidgety movements on the GMA at 3 months and the HINE score at 3 months, 6 months, and 9 months were all highly associated with CP diagnosis with more than 80% sensitivity and more than 90% specificity. The optimal HINE cutoff score for predicting CP may differ from infants born preterm and will benefit from further analysis.

Automated detection of abnormal general movements from pressure and positional information in hospitalized infants

BACKGROUND

Prechtl's general movements assessment (GMA) allows visual recognition of movement patterns that, when abnormal (cramped synchronized, or CS), have very high sensitivity in predicting later neuromotor disorders; however, training requirements and subjective perceptions from some clinicians may hinder universal adoption of the GMA in the newborn period.

METHODS

To address this, we used a three-phased approach to design a preliminary and clinically-oriented approach to automated CS GMA detection. 335 hospitalized infants were dually recorded on video and a pressure-sensor mat that collected time, spatial, and pressure data. Video recordings were scored by advanced GMA readers. We then conducted a series of unsupervised machine learning and supervised classification modeling with features extracted from clinician- and mat-driven datasets. Finally, the resulting algorithm was converted to a software interface.

RESULTS

A classification model combining normalization, clustering, and decision tree modeling resulted in the highest sensitivity for CS movements (100%). Results were delivered via the software interface within 20 min of data recording.

CONCLUSION

The combination of clinical research, machine learning, and repurposing of existing sensor mat technology produced a feasible preliminary approach to automatically detect abnormal GMA in infants while still in the NICU. Further refinements of software and algorithms are needed.

IMPACT STATEMENT

Machine learning can differentiate cramped synchronized general movement patterns in the neonatal intensive care unit with good sensitivity and specificity. Increasing access to the GMA through automated detection methods may allow for earlier identification of a greater number of children at high risk for movement delay. Large studies leveraging new artificial intelligence approaches could increase the impact of such detection.

A systematic review of portable technologies for the early assessment of motor development in infants

Early screening and evaluation of infant motor development are crucial for detecting motor deficits and enabling timely interventions. Traditional clinical assessments are often subjective, without fully capturing infants' "real-world" behavior. This has sparked interest in portable, low-cost technologies to objectively and precisely measure infant motion at home, with a goal of enhancing ecological validity. In this systematic review, we explored the current landscape of portable, technology-based solutions to assess early motor development (within the first year), outlining the prevailing challenges and future directions. We reviewed 66 publications, which utilized video, sensors, or a combination of technologies. There were three key applications of these technologies: (1) automating clinical assessments, (2) illuminating new measures of motor development, and (3) predicting developmental outcomes. There was a promising trend toward earlier and more accurate detection using portable technologies. Additional research and demographic diversity are needed to develop fully automated, robust, and user-friendly tools. Registration & Protocol OSF Registries https://doi.org/10.17605/OSF.IO/R6JAE .

Deep learning empowered sensor fusion boosts infant movement classification

BACKGROUND

To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending to scale-up its application, circumvent costs in the training of human assessors and further standardize classification of spontaneous motor patterns. Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors. These approaches are hardly comparable as all models are designed, trained and evaluated on proprietary/silo-data sets.

METHODS

With this study we propose a sensor fusion approach for assessing fidgety movements (FMs). FMs were recorded from 51 typically developing participants. We compared three different sensor modalities (pressure, inertial, and visual sensors). Various combinations and two sensor fusion approaches (late and early fusion) for infant movement classification were tested to evaluate whether a multi-sensor system outperforms single modality assessments. Convolutional neural network (CNN) architectures were used to classify movement patterns.

RESULTS

The performance of the three-sensor fusion (classification accuracy of 94.5%) is significantly higher than that of any single modality evaluated.

CONCLUSIONS

We show that the sensor fusion approach is a promising avenue for automated classification of infant motor patterns. The development of a robust sensor fusion system may significantly enhance AI-based early recognition of neurofunctions, ultimately facilitating automated early detection of neurodevelopmental conditions.

Early Diagnosis of Cerebral Palsy in Preterm Infants with MRI, General Movements and Neurological Exam

Background

The increasing clinical use of combining structural MRI (sMRI) with General Movements Assessment (GMA) or Hammersmith Infant Neurological Exam (HINE) before five months corrected age (CA) for early diagnosis of cerebral palsy (CP) lacks sufficient prognostic data for children with CP, especially those with Gross Motor Function Classification System (GMFCS) I.

Objective

Evaluate the predictive value of sMRI, GMA, and HINE individually and in combination for early CP diagnosis and assess accuracy across varying GMFCS levels in a regional cohort of preterm infants.

Methods

We performed sMRI between 39-44 weeks postmenstrual age and GMA and HINE between 12-18 weeks CA in 395 preterm infants born at ≤32 weeks' gestation across five NICUs in Greater Cincinnati. Brain abnormalities on sMRI included white matter injuries, cortical and deep gray matter lesions, or extensive cerebellar hemorrhage. Absent fidgety movements constituted abnormal GMA; abnormal HINEs were scores <56. The primary outcome was CP diagnosis at 22-26 months CA, classified by the GMFCS. We calculated sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios for individual tests and combinations.

Results

Of 338 (86%) infants with complete follow-up, 48 (14.2%) showed sMRI abnormalities, 15 (4.6%) had abnormal GMA, and 69 (20.9%) had abnormal HINE. Thirty-nine children (11.5%) developed CP at age 2, of which 28 had GMFCS level I and 11 had GMFCS >II. The combination of sMRI and GMA achieved 100% specificity but only 22% sensitivity while the combination of abnormal sMRI and HINE demonstrated sensitivity of 32% and specificity of 98% for prediction of CP. Individual or combined tests showed far higher sensitivity (78-100%) for predicting CP in children with GMFCS levels II-V.

Conclusions

The combination of sMRI with GMA or HINE demonstrated high specificity but low sensitivity for early CP diagnosis in a regional cohort of preterm infants. This approach appears effective for early detection of CP levels II-V but not for level I cases, the most prevalent type, underscoring the need for continued developmental follow-up for all very preterm infants and need for more sensitive diagnostic tools for early detection of CP.

Key Points

Questions: What is the individual and combined prognostic accuracy of sMRI, GMA, and HINE for early diagnosis of CP in preterm infants?Findings: In our prospective, regional study of preterm infants born at ≤32 weeks' gestation, we found that combining brain abnormalities on sMRI with abnormal GMA achieved 100% specificity but 22% sensitivity for diagnosing CP. Individual or combined tests showed far higher sensitivity (78-100%) for predicting CP in children with GMFCS levels II-V. Both individual and combined tests were poor predictors of GMFCS level I CP, the most common type.Meaning: While sMRI combined with GMA or HINE is effective for diagnosing CP with GMFCS levels II-V, this approach falls short for children with GMFCS level I.

Identification of Putative Biomarkers in Cerebral Palsy: A Meta-Analysis and Meta-Regression

BACKGROUND

Cerebral palsy (CP) is a neurological disorder that impairs motor abilities. Identifying maternal biomarker derangements can facilitate further evaluation for early diagnosis, potentially leading to improved clinical outcomes. This study investigates the association between maternal biomarker derangements and CP development during the antenatal period.

METHODS

A systematic search was conducted in MEDLINE, EMBASE, and Cochrane databases, following MOOSE guidelines. Data on participants exceeding biomarker thresholds (95th and 5th percentiles) were extracted for combined odds ratio estimation. Geometric mean differences, reported as multiples of the median (MoMs), were used to analyze changes in marker levels. Trimesterwise subgroup analysis and metaregression assessed the impact of variables on outcomes.

RESULTS

Five observational studies (1552 cases, 484,985 controls) revealed lower maternal pregnancy-associated plasma protein A levels were associated with CP (pooled odds ratio [OR] = 1.60, 95% confidence interval [CI] = 1.22 to 2.09; I = 0%), with a -0.04 MoM geometric mean difference. Lower maternal beta-human chorionic gonadotropin (HCG) levels in first and second trimesters indicated a pooled OR = 1.18 (95% CI = 0.85 to 1.63; I = 57%). Sensitivity analysis showed an OR = 1.40 (95% CI = 1.08 to 1.82; I = 0%), with a -0.07 MoM geometric mean difference. Metaregression identified primigravida status as negatively influencing beta-HCG levels. Elevated nuchal translucency values and CP presented a pooled OR = 1.06 (95% CI = 0.77 to 1.44; I = 0%).

CONCLUSION

Lower maternal pregnancy-associated plasma protein A levels during the first trimester and lower beta-HCG levels in the first and second trimesters are associated with CP development in children. Future research should validate the predictive utility of these biomarkers and explore novel ones through large-scale cohort studies.

The Screening Hand Assessment for Infants for detecting the risk of unilateral cerebral palsy: Item selection and development

AIM

To develop a screening tool (the screening Hand Assessment for Infants [s-HAI]) for infants aged from 3.5 months that can identify a high risk of developing unilateral cerebral palsy (CP) based on a selection of items from the HAI.

METHOD

Receiver operating characteristic curve analysis was performed on previously collected HAI assessments from 212 infants (104 females, 108 males) aged from 3.5 to 8.5 months, to select items suitable for screening. The area under the curve (AUC), sensitivity, specificity, and cut-off values were derived for the suggested item combination. The clinical outcome (unilateral CP yes or no) at 24 months or older served as the external criterion.

RESULTS

About half of the infants developed unilateral CP. The AUC across the items ranged from 0.63 to 0.80, and from 0.85 to 0.87 for different item combinations. Sensitivity for the selected 6-item set was 91% for 8 points or less and 88% for 7 points or less on the contralesional score of each hand, while specificity was 60% and 73% respectively.

INTERPRETATION

The s-HAI, designed from six HAI items, has the potential to be used to screen infants at risk of unilateral CP from 3.5 months of age. It is easy to administer, time-efficient, and can be used in different settings. Its measurement properties and feasibility need to be tested in a new data set.

Quantifying spontaneous infant movements using state-space models

Over the first few months after birth, the typical emergence of spontaneous, fidgety general movements is associated with later developmental outcomes. In contrast, the absence of fidgety movements is a core feature of several neurodevelopmental and cognitive disorders. Currently, manual assessment of early infant movement patterns is time consuming and labour intensive, limiting its wider use. Recent advances in computer vision and deep learning have led to the emergence of pose estimation techniques, computational methods designed to locate and track body points from video without specialised equipment or markers, for movement tracking. In this study, we use automated markerless tracking of infant body parts to build statistical models of early movements. Using a dataset of infant movement videos (n = 486) from 330 infants we demonstrate that infant movement can be modelled as a sequence of eight motor states using autoregressive, state-space models. Each, motor state Is characterised by specific body part movements, the expression of which varies with age and differs in infants at high-risk of poor neurodevelopmental outcome.

Practice Variations for Therapeutic Hypothermia in Neonates with Hypoxic-ischemic Encephalopathy: An International Survey

OBJECTIVE

To evaluate variations in management of therapeutic hypothermia (TH) for neonatal hypoxic-ischemic encephalopathy (HIE) among international clinical sites and to identify areas for harmonization.

STUDY DESIGN

An electronic survey was sent to Children's Hospitals Neonatal Consortium site sponsors, Canadian Neonatal Network site investigators, members of the Newborn Brain Society, and American Academy of Pediatrics Neonatology chiefs.

RESULTS

One hundred five sites responded, with most from high-income regions (n = 95). Groupings were adapted from the United Nations regional groups: US (n = 52 sites); Canada (n = 20); Western Europe and other states excluding Canada and US Group (WEOG, n = 18); and non-WEOG (central and eastern Europe, Asia, Africa, Latin America, and Caribbean, n = 15). Regional variations were seen in the eligibility criteria for TH, such as the minimum gestational age, grading of HIE severity, use of electroencephalography, and the frequency of providing TH for mild HIE. Active TH during transport varied among regions and was less likely in smaller volume sites. Amplitude-integrated electroencephalogram and/or continuous electroencephalogram to determine eligibility for TH was used by most sites in WEOG and non-WEOG but infrequently by the US and Canada Groups. For sedation during TH, morphine was most frequently used as first choice but there was relatively high (33%) use of dexmedetomidine in the US Group. Timing of brain magnetic resonance imaging and neurodevelopmental follow-up were variable. Neurodevelopmental follow occurred earlier and more frequently, although for a shorter duration, in the non-WEOG.

CONCLUSIONS

We found significant variations in practices for TH for HIE across regions internationally. Future guidelines should incorporate resource availability in a global perspective.

Early detection of cerebral palsy with the Standardized Infant NeuroDevelopmental Assessment versus the General Movements Assessment: Is another assessment the way forward?

This commentary is on the original article by Hadders‐Algra et al. on pages 1361–1368 of this issue.

Clinical Factors Related to Abnormal General Movements Trajectories: Development of a Multicriteria Index

PURPOSE

To create a multicriteria index with clinical factors associated with abnormal general movements (GMs) trajectories during a stay in the neonatal intensive care unit.

METHODS

A longitudinal study assessed abnormal GMs trajectories in preterm infants in the neonatal intensive care unit. The multicriteria index included clinical factors such as intraventricular hemorrhage, respiratory support, gestational age, patent ductus arteriosus, and infection based on multi-attribute utility theory.

RESULTS

A total of 52 preterm newborns, 57.7% male, were evaluated. The multicriteria index correlated with abnormal GMs trajectories and explained 26.5% of the variance in these trajectories.

CONCLUSION

The developed multicriteria index, with the inclusion of combined clinical factors, allowed the identification of part of the abnormal trajectories of GMs in preterm infants. The multicriteria analysis can help clinicians to identify infants who have a greater chance of poor developmental trajectories before hospital discharge.

Intrauterine twin environment and genetic factors subliminally affecting general movements in preterm infants

BACKGROUND

Understanding background factors is beneficial for interpreting general movements (GMs). This study examines the factors involved in preterm-writhing GMs by comparing twins and singletons.

METHOD

The subjects were 107 infants cared for at Oita University. The cohort consisted of very-low-birth-weight infants, including twins with a birth weight < 2000 g. The median gestational age (GA) was 29 weeks 1 day. The subjects consisted of 75 singletons, 32 twins (16 pairs), 20 monochorionic twins (M-twins), and 12 dichorionic twins (D-twins). GMs were scored according to the GMs optimality score (GMOS) and integrated into 6 items: the quality, neck-trunk and space, amplitude-speed, rotation, onset-offset and cramped, and tremulous score at 32-34 weeks, 35-36 weeks, and 37-42 weeks' GA. A hierarchical cluster analysis was performed using integrated GMOS, and the characteristics of clusters were examined according to clinical backgrounds.

RESULTS

Three clusters were identified. Cluster 1 was characterized by good-quality GMs, cluster 2 by a poor repertoire but optimal space and rotatory components, and cluster 3 by overall poor-quality GMs, respectively. The mean GMOSs were 36.6, 31.8 and 24.3 in clusters 1, 2, and 3, respectively. There were no marked differences in proportions within clusters with respect to sex and twins. Small-for-gestational age (SGA) was significantly more frequent in cluster 3 at 32-34 weeks' GA than in other clusters. Perinatal brain injury had a significantly lower proportion in cluster 1 and a higher proportion in cluster 3 at 35-36 weeks' GA and 37-42 weeks' GA. M-twin pairs tended to belong to the same clusters at 35-36 weeks' GA.

CONCLUSION

Preterm writhing GMs are associated with SGA and perinatal brain injury. Cluster matching in M-twins suggests that certain genetic factors may substantially influence GMs.

Neurological outcomes in neonates treated with therapeutic hypothermia: challenges in a developing country

BACKGROUND

 Hypoxic-ischemic encephalopathy (HIE) affects 1.5 newborns per 1 thousand term live births. Therapeutic hypothermia (TH) does not prevent all adverse outcomes. The experience with TH is still limited in Latin America. In Rio de Janeiro, Hospital Universitário Pedro Ernesto treats neonates with HIE since 2017 using the servo-controlled system.

OBJECTIVE

 To describe the frequency of epilepsy, altered neurological exam, and neurodevelopmental delay at 12 months of age in patients treated with TH in a reference hospital in Rio de Janeiro and to evaluate the possible risk associations with clinical data and data from complementary exams.

METHODS

 We evaluated medical records from the Neonatal Intensive Care Unit hospitalization and from first evaluation recorded at 12 months of age in the High-Risk Neonate Follow-up Outpatient Sevice.

RESULTS

 A total of 30 subjects were included in the study. We found epilepsy in 18.2% of the patients, altered neurological exam in 40.9%, and neurodevelopmental delay in 36.4%. We also found a significant relationship between altered magnetic resonance imaging scan and subsequent altered neurological exam. Our findings are in line with those of the international literature, which shows that adverse outcomes are still observed, even when TH is applied. Brazilian data shows our limited access to complementary exams. The rate of loss to follow-up was of 26.6%, probably due to the coronavirus disease 2019 (COVID-19) pandemic and to unfavorable socioeconomic conditions. More time for prospective follow-up and protocol adjustments should contribute to improve our data.

CONCLUSION

 High incidences of epilepsy, altered neurological exams, and neurodevelopmental delay were found, despite the use of TH. A more efficient use of resources is needed, as well as measures such as early intervention.

The PRECISE-DYAD Neurodevelopmental substudy protocol: neurodevelopmental risk in children of mothers with pregnancy complications

Background

Over 250 million children are not reaching their developmental potential globally. The impact of prenatal factors and their interplay with postnatal environmental factors on child neurodevelopment, is still unclear-particularly in low- and middle-income settings. This study aims to understand the impact of pregnancy complications as well as environmental, psychosocial, and biological predictors on neurodevelopmental trajectories.

Methods

This is an observational cohort study of female and male children (≈3,950) born to women (≈4,200) with and without pregnancy complications (pregnancy-induced hypertension, foetal growth restriction, and premature birth) previously recruited into PREgnancy Care Integrating Translational Science, Everywhere study with detailed biological data collected in intrapartum and post-partum periods. Children will be assessed at six weeks to 6 months, 11-13 months, 23-25 months and 35-37 months in rural and semi-urban Gambia (Farafenni, Illiasa, and Ngayen Sanjal) and Kenya (Mariakani and Rabai). We will assess children's neurodevelopment using Prechtls General Movement Assessment, the Malawi Development Assessment Tool (primary outcome), Observation of Maternal-Child Interaction, the Neurodevelopmental Disorder Screening Tool, and the Epilepsy Screening tool. Children screening positive will be assessed with Cardiff cards (vision), Modified Checklist for Autism in Toddlers Revised, and Pediatric Quality of Life Inventory Family Impact. We will use multivariate logistic regression analysis to investigate the impact of pregnancy complications on neurodevelopment and conduct structural equation modelling using latent class growth to study trajectories and relationships between biological, environmental, and psychosocial factors on child development.

Conclusions

We aim to provide information regarding the neurodevelopment of infants and children born to women with and without pregnancy complications at multiple time points during the first three years of life in two low-resource African communities. A detailed evaluation of developmental trajectories and their predictors will provide information on the most strategic points of intervention to prevent and reduce the incidence of neurodevelopmental impairments.

Hybrid developmental follow-up for preterm infants in Brazil: A feasibility study

INTRODUCTION

The low attendance of families in child developmental follow-up programs for at-risk preterm children is a challenge in Brazil.

OBJECTIVE

This study evaluates the feasibility of implementing a developmental follow-up program for Brazilian preterm infants in a hybrid format.

METHODS

This is an observational, prospective cohort study, involving preterm infants. Longitudinal developmental test results, the participation frequency in the program, and the number of referrals to early intervention programs were used to assess feasibility. The General Movements (GMs) assessment, Alberta Infant Motor Scale (AIMS) and, Survey of Wellbeing of Young Children (SWYC) Milestones were administered via telehealth. The Bayley-III was administered in-person.

RESULTS

Thirty-four preterm infants attended the follow-up until 12 months of corrected age and 18 (52.9 %) concluded all follow-up assessments. Twenty-six (76.5 %) attended all assessments via telehealth, and 26 (76.5 %) attended the in-person assessment. Eighteen (52.9 %) infants showed at least one altered result in development tests. Infants exhibiting abnormal results in the GMs assessment, motor developmental delay according to the AIMS, or developmental delay based on Balley-III were promptly referred to early intervention services.

CONCLUSION

This study demonstrated high participation rate and low dropout in a developmental follow-up program employing a hybrid format. The substantial number of identified infants with developmental delay emphasizes the importance of timely detection of motor delays to referral to early intervention services.

The role of certain perinatal features in the early motor repertoire of infants

BACKGROUND

Lower gestational age negatively affects the neurodevelopmental outcomes of infants. Early motor repertoire is a reliable way to predict neurodevelopmental outcomes. This study aimed to determine the correlation between gestational age and early motor repertoire in infants and also the roles of multiple pregnancies, gender, cranial utrasonography (USG) results, and birth weight in this relationship.

METHODS

This study included 139 infants, who were video recorded 9-17 weeks post-term. The recordings were evaluated using the Motor Optimality Score-Revised (MOS-R). Structural equation modeling tool was used for the path analysis of the models.

RESULTS

There was a weak positive correlation between gestational age and the MOS-R. In the relationship between gestational age and the MOS-R, multiple pregnancies, gender, and USG outcomes had a moderating effect. While abnormal USG, male gender, and singleton pregnancy increased this correlation to a moderate level, normal USG reduced the strength of the correlation. Female and twin pregnancies were non-significant in the model. Birth weight had a full mediating effect on the relationship between gestational age and the MOS-R.

CONCLUSIONS

Infants with younger gestational age or lower birth weight, male infants, and infants with problems on cranial USG may have poorer early motor repertoire.

Inter-rater reliability and agreement of the General Movement Assessment and Motor Optimality Score-Revised in a large population-based sample

BACKGROUND

Prechtl's General Movement Assessment (GMA) at fidgety age (3-5 months) is a widely used tool for early detection of cerebral palsy. Further to GMA classification, detailed assessment of movement patterns at fidgety age is conducted with the Motor Optimality Score-Revised (MOS-R). Inter-rater reliability and agreement are properties that inform test application and interpretation in clinical and research settings. This study aims to establish the inter-rater reliability and agreement of the GMA classification and MOS-R in a large population-based sample.

METHODS

A cross-sectional study of 773 infants from birth-cohort in Perth, Western Australia. GMA was conducted on home-recorded videos collected between 12 + 0 and 16 + 6 weeks post term age. Videos were independently scored by two masked experienced assessors. Inter-rater reliability and agreement were assessed using intraclass correlation coefficient and limits of agreement respectively for continuous variables, and Cohen's Kappa and Gwet's Agreement Coefficient, and percentage agreement respectively for discrete variables.

RESULTS

The classification of GMA showed almost perfect reliability (AC1 = 0.999) and agreement (99.9 %). Total MOS-R scores showed good-excellent reliability (ICC 0.857, 95 % CI 0.838-0.876) and clinically acceptable agreement (95 % limits of agreement of ±2.5 points). Substantial to almost perfect reliability and agreement were found for all MOS-R domain subscores. While MOS-R domains with higher redundancy in their categorisation have higher reliability and agreement, inter-rater reliability and agreement are substantial to almost perfect at the item level and are consistent across domains.

CONCLUSION

GMA at fidgety age shows clinically acceptable inter-rater reliability and agreement for GMA classification and MOS-R for population-based cohorts assessed by experienced assessors.

'We did everything by phone': a qualitative study of mothers' experience of smartphone-aided screening of cerebral palsy in Kathmandu, Nepal

BACKGROUND

International guidelines recommend early intervention to all children at risk of cerebral palsy, but targeted screening programs are often lacking in low- and middle-income settings with the highest burden of disease. Smartphone applications have the potential to improve access to early diagnostics by empowering parents to film their children at home followed by centralized evaluation of videos with General Movements Assessment. We explored mothers' perceptions about participating in a smartphone aided cerebral palsy screening program in Kathmandu, Nepal.

METHODS

This is an explorative qualitative study that used focus group discussions (n = 2) and individual interviews (n = 4) with mothers of term-born infants surviving birth asphyxia or neonatal seizures. Parents used the NeuroMotion™ smartphone app to film their children at home and the videos were analysed using Precthl's General Movements Assessment. Sekhon et al.'s framework on the acceptability of health care interventions guided the design of the group discussions and interviews, and the deductive qualitative content analysis.

RESULTS

Mothers were interested in engaging with the programme and expressed hope it would benefit their children. Most felt using the app was intuitive. They were, however, unclear about the way the analysis was performed. Support from the research team was often needed to overcome an initial lack of self-confidence in using the technology, and to reduce anxiety related to the follow-up. The intervention was overall perceived as recommendable but should be supplemented by a face-to-face consultation.

CONCLUSION

Smartphone aided remote screening of cerebral palsy is acceptable in a lower middle-income population but requires additional technical support.

General movement assessment efficacy for assessment of nervous system integrity in children after hypoxic-ischemic encephalopathy in middle income countries

BACKGROUND

Many infants who survive hypoxic-ischemic encephalopathy (HIE) face long-term complications like epilepsy, cerebral palsy, and developmental delays. Detecting and forecasting developmental issues in high-risk infants is critical.

AIM

This study aims to assess the effectiveness of standardized General Movements Assessment (GMA) and Hammersmith Infant Neurological Examinations (HINE) in identifying nervous system damage and predicting neurological outcomes in infants with HIE.

DESIGN

Prospective.

SUBJECTS AND MEASURES

We examined full-term newborns with perinatal asphyxia, classifying them as Grade 2 HIE according to Sarnat and Sarnat. The study included 31 infants, with 14 (45.2 %) receiving therapeutic hypothermia (Group 1) and 17 (54.8 %) not (Group 2). We evaluated general movements during writhing and fidgety phases and conducted neurological assessments using the HINE.

RESULTS

All infants exhibited cramped-synchronized - like movements, leading to cerebral palsy (CP) diagnosis. Three children in Group 1 and four in Group 2 lacked fidgety movements. During active movements, HINE and GMA showed high sensitivity and specificity, reaching 96 % and 100 % for all children. The ROC curve's area under the curve (AUC) was 0.978.

CONCLUSION

Our study affirms HINE and GMA as effective tools for predicting CP in HIE-affected children. GMA exhibits higher sensitivity and specificity during fidgety movements. However, study limitations include a small sample size and data from a single medical institution, necessitating further research.

Diffusion Tensor Imaging to Predict Neurodevelopmental Impairment in Infants after Hypoxic-Ischemic Injury

OBJECTIVE

Magnetic resonance imaging (MRI) is the standard of care for evaluation of brain injury after hypoxic-ischemic encephalopathy (HIE) in term newborns. This study utilizes diffusion tensor imaging (DTI) to (1) identify infants at highest risk of development of cerebral palsy (CP) following HIE and to (2) identify regions of the brain critical to normal fidgety general movements (GMs) at 3 to 4 months of postterm. Absence of these normal, physiological movements is highly predictive of CP.

STUDY DESIGN

Term infants treated with hypothermia for HIE from January 2017 to December 2021 were consented for participation and had brain MRI with DTI after rewarming. The Prechtl's General Movements Assessment was performed at 12 to 16 weeks of age. Structural MRIs were reviewed for abnormalities, and DTI data were processed with the FMRIB Software Library. Infants underwent the Bayley Scales of Infant and Toddler Development III test at 24 months.

RESULTS

Forty-five infant families were consented; three infants died prior to MRI and were excluded, and a fourth infant was excluded due to diagnosis of a neuromuscular disorder. Twenty-one infants were excluded due to major movement artifact on diffusion images. Ultimately, 17 infants with normal fidgety GMs were compared with 3 infants with absent fidgety GMs with similar maternal and infant characteristics. Infants with absent fidgety GMs had decreased fractional anisotropy of several important white matter tracts, including the posterior limb of the internal capsule, optic radiations, and corpus callosum (p < 0.05). All three infants with absent fidgety GMs and two with normal GMs went on to be diagnosed with CP.

CONCLUSION

This study identifies white matter tracts of the brain critical to development of normal fidgety GMs in infants at 3 to 4 months of postterm using advanced MRI techniques. These findings identify those at highest risk for CP among infants with moderate/severe HIE prior to hospital discharge.

KEY POINTS

· HIE has devastating impacts on families and infants.. · Diffusion MRI identifies infants at highest risk for developing neurodevelopmental impairment.. · Normal general movements of infancy are generated by key white matter tracts..

Identifying Opportunities for Early Detection of Cerebral Palsy

This study aimed to evaluate assessment and referral practices for the early detection and diagnosis of children at risk for or with cerebral palsy (CP) by health care and education providers in Maryland and Delaware. A secondary aim was to identify barriers for using early detection tools and identify opportunities for change to support early diagnosis and improve care. Seventy-two participants answered ≥ 50% of the survey questions. Most were occupational or physical therapists (86%) working in early intervention (61%). Eighty-eight percent indicated awareness that CP can be diagnosed by 12 months. Though 86% stated they typically suspect a diagnosis of CP between 0 and 12 months, only 19% reported that their patients received a CP diagnosis < 12 months. The Developmental Assessment of Young Children (73%) and the Peabody Developmental Motor Scales-2 (59%) were used most. Many respondents indicated never using magnetic resonance imaging (70%), the General Movements Assessment (87%), or the Hammersmith Infant Neurological Exam (69%). Participants identified clinical signs and symptoms prompting a referral for the diagnostic assessment of CP, most commonly stiffness in legs (95%), excessive head lag (93%), and persistent fisting (92%). Policy and organizational change, clinician education, and training are needed to support the implementation of CP early detection guidelines.

Predictive Value of Fidgety Movement Assessment and Magnetic Resonance Imaging for Cerebral Palsy in Infants

BACKGROUND

The early prediction of cerebral palsy (CP) could enable the follow-up of high-risk infants during the neuroplasticity period. This study aimed to explore the predictive value of fidgety movement assessment (FMA) and brain magnetic resonance imaging (MRI) for the development of CP in clinic rehabilitation setting.

METHODS

This retrospective observational study included infants who underwent FMA and brain MRI at age nine to 20 weeks at Children's Hospital, Zhejiang University School of Medicine, between March 2018 and September 2019. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy of FMA and MRI for predicting the development of CP were assessed.

RESULTS

A total of 258 infants (169 males, gestational age 37.4 ± 3.0 weeks, birth weight 2987.9 ± 757.1 g) were included. Fifteen children had CP after age two years. The diagnostic value of FMA and brain MRI combination showed 86.7% sensitivity (95% confidence interval [CI]: 58.4% to 97.7%), 98.4% specificity (95% CI: 95.6% to 99.5%), and 97.7% accuracy (95% CI: 95.0% to 99.1%); the combination diagnostic value also showed a significantly higher AUC for predicting CP after age two years than FMA alone (AUC: 0.981 vs 0.893, P = 0.013).

CONCLUSIONS

The diagnostic value of FMA and brain MRI combination during infancy showed a high predictive value for CP development in clinical rehabilitation setting.

A Study of General Movement Assessment and Its Association With Neurodevelopmental Outcome at Age 12 to 15 Months Among Term Neonates With Hyperbilirubinemia

BACKGROUND

To determine the association between optimality score at term age and age three to five months and neurodevelopmental outcome among neonates with hyperbilirubinemia.

METHODS

Fifty infants with and without hyperbilirubinemia were enrolled. The motor repertoires of the infants were evaluated through general movement assessment (GMA) at term age and three to five months post-term. The association between the General Movement Optimality Score (GMOS), Motor Optimality Score (MOS), and Development Assessment Scale for Indian Infants (DASII) at age 12 to 15 months was also assessed.

RESULTS

During term age, the median GMOS was significantly lower among infants in the study group when compared with the control group (40 [29 to 42] vs 42 [42 to 42], P < 0.001). However, at age three to five months, there was no significant difference between the groups. Significantly higher number of neonates had abnormal motor repertoire at term age and age three to five months in the study group when compared with the control group (18 [36%] vs 2 [4%], P = 0.001, at term age and 6 [12.2%] vs 1 [2%], P =0.04, at age three to five months). Among neonates with hyperbilirubinemia, the median GMOS and MOS were significantly lower at term age and age three to five months in infants with motor and mental developmental quotient scores <85 when compared with ≥85.

CONCLUSIONS

GMA including GMOS and MOS performed in neonates with hyperbilirubinemia during the neonatal period and early infancy is associated with neurodevelopmental outcomes in the first year of life. GMA can help initiate early intervention in such neonates.

Are sucking patterns and early spontaneous movements related to later developmental functioning outcomes? A cohort study

Sucking patterns and early spontaneous movements have an important role in the determination of later developmental problems, but the relationship of the two together with long-term outcomes has not been investigated. The objectives of this study were to (i) examine the relationship between sucking patterns using the Neonatal Oral Motor Assessment Scale (NOMAS) and fidgety movements and other movement patterns using detailed General Movements Assessment (GMA), and (ii) investigate the relationship between these early assessment methods and developmental functioning outcomes at later ages. We analyzed the NOMAS from 34 weeks' postmenstrual age up to 10 weeks post-term and GMA between 9 and 20 weeks post-term age, and the Bayley Scales of Infant and Toddler Development-Third Edition (Bayley-III) was applied for the developmental functioning outcomes to 62 infants (61%, 62/102) between 12 and 42 months of age. Among 102 infants at-risk, 70 (69%) showed a normal sucking pattern, and 85 (83%) had fidgety movements. The median Motor Optimality Score-Revised (MOS-R), as determined by GMA, of all infants was 24. The NOMAS was related to the MOS-R and its subcategories (p < 0.05) in all infants at-risk. The NOMAS, MOS-R and its subcategories were also related to cognitive, language, and motor development at later ages according to Bayley-III (p < 0.05).   Conclusion: This longitudinal study showed that the quality of sucking patterns, fidgety movements, and MOS-R were related to later developmental functioning, indicating that abnormal sucking patterns, aberrant fidgety movements, and lower MOS-R might predict developmental disorders. What is Known: • Sucking patterns and early spontaneous movements in which central pattern generators play an important role are related. • Sucking patterns and early spontaneous movements might be used separately to predict developmental outcomes. What is New: • Sucking patterns and early spontaneous movements, when used together, were related to later developmental functioning, including cognitive, language, and motor development in at-risk infants. • Predictive value of sucking patterns was lower for each developmental functioning outcome than early spontaneous movements.

Early infantile spontaneous movement in very low birthweight infants is associated with sensory characteristics at the corrected age of 3 years

AIM

To clarify the relationship between early infantile spontaneous movement of very-low-birth-weight infants (VLBWIs) and sensory characteristics in childhood.

STUDY DESIGN

Prospective cohort study. We investigated the association between the Motor Optimality Score-Revised (MOS-R), a detailed assessment of general movements (GMs) at the corrected age of 9-17 weeks and the Infant/Toddler Sensory Profile Japanese version (ITSP-J) at the corrected age of 3 years. A multiple regression analysis was performed to examine the correlation of ITSP-J and MOS-R with patient clinical background factors.

SUBJECTS

Fifty-three VLBWIs (median gestational age: 28 weeks, 6 days; median birth weight: 997 g) who were managed at the NICU of Oita University from September 2013 to June 2019.

RESULTS

A multiple regression analysis revealed that the ITSP-J subscale in the sensory section of visual score was significantly correlated with the age-adequate movement repertoire subscore of MOS-R, and in the sensory section of vestibular score was correlated with the fidgety subscore of MOS-R. For both visual and vestibular section scores, intraventricular hemorrhage (IVH) showed an independent association with the MOS-R subscore.

CONCLUSION

Spontaneous movement characteristics in early infancy were associated with sensory characteristics in early childhood.

NeuroMotion smartphone application for remote General Movements Assessment: a feasibility study in Nepal

OBJECTIVES

To evaluate the feasibility of using the NeuroMotion smartphone application for remote General Movements Assessment for screening infants for cerebral palsy in Kathmandu, Nepal.

METHOD

Thirty-one term-born infants at risk of cerebral palsy due to birth asphyxia or neonatal seizures were recruited for the follow-up at Paropakar Maternity and Women's Hospital, 1 October 2021 to 7 January 2022. Parents filmed their children at home using the application at 3 months' age and the videos were assessed for technical quality using a standardised form and for fidgety movements by Prechtl's General Movements Assessment. The usability of the application was evaluated through a parental survey.

RESULTS

Twenty families sent in altogether 46 videos out of which 35 had approved technical quality. Sixteen children had at least one video with approved technical quality. Three infants lacked fidgety movements. The level of agreement between assessors was acceptable (Krippendorf alpha 0.781). Parental answers to the usability survey were in general positive.

INTERPRETATION

Engaging parents in screening of cerebral palsy with the help of a smartphone-aided remote General Movements Assessment is possible in the urban area of a South Asian lower middle-income country.

Correlation between pose estimation features regarding movements towards the midline in early infancy

In infants, spontaneous movement towards the midline (MTM) indicates the initiation of anti-gravity ability development. Markerless 2D pose estimation is a cost-effective, time-efficient, and quantifiable alternative to movement assessment. We aimed to establish correlations between pose estimation features and MTM in early-age infants. Ninety-four infant videos were analysed to calculate the percentage and rate of MTM occurrence. 2D Pose estimation processed the videos and determined the distances and areas using wrist and ankle landmark coordinates. We collected data using video recordings from 20 infants aged 8-16 weeks post-term age. Correlations between MTM observations and distance values were evaluated. Differences in areas between groups of videos showing MTM and no MTM in the total, lower-limb, and upper-limb categories were examined. MTM observations revealed common occurrences of hand-to-trunk and foot-to-foot movements. Weak correlations were noted between limb distances to the midbody imaginary line and MTM occurrence values. Lower MTM showed significant differences in the lower part (p = 0.003) and whole area (p = 0.001). Video recording by parents or guardians could extract features using 2D pose estimation, assisting in the early identification of MTM in infants. Further research is required to assess a larger sample size with the diversity of MTM motor behaviour, and later developmental skills, and collect data from at-risk infants.

Automated identification of abnormal infant movements from smart phone videos

Cerebral palsy (CP) is the most common cause of physical disability during childhood, occurring at a rate of 2.1 per 1000 live births. Early diagnosis is key to improving functional outcomes for children with CP. The General Movements (GMs) Assessment has high predictive validity for the detection of CP and is routinely used in high-risk infants but only 50% of infants with CP have overt risk factors when they are born. The implementation of CP screening programs represents an important endeavour, but feasibility is limited by access to trained GMs assessors. To facilitate progress towards this goal, we report a deep-learning framework for automating the GMs Assessment. We acquired 503 videos captured by parents and caregivers at home of infants aged between 12- and 18-weeks term-corrected age using a dedicated smartphone app. Using a deep learning algorithm, we automatically labelled and tracked 18 key body points in each video. We designed a custom pipeline to adjust for camera movement and infant size and trained a second machine learning algorithm to predict GMs classification from body point movement. Our automated body point labelling approach achieved human-level accuracy (mean ± SD error of 3.7 ± 5.2% of infant length) compared to gold-standard human annotation. Using body point tracking data, our prediction model achieved a cross-validated area under the curve (mean ± S.D.) of 0.80 ± 0.08 in unseen test data for predicting expert GMs classification with a sensitivity of 76% ± 15% for abnormal GMs and a negative predictive value of 94% ± 3%. This work highlights the potential for automated GMs screening programs to detect abnormal movements in infants as early as three months term-corrected age using digital technologies.

General movements assessment: A bibliometric analysis

This bibliometric analysis provides an in-depth exploration of the scholarly landscape in the field of Prechtl General Movement Assessment (GMA) research, spanning the period from 1961 to 2023. It offers valuable insights into the evolutionary trajectory and global impact of GMA. The study employs a longitudinal approach, meticulously tracking trends in scholarly output, international collaborations, and authorship patterns. Notably, our findings reveal a significant increase in GMA-related publications, highlighting the growing prominence of this field. The dominance of Australia and Austria in scholarly contributions underscores their pivotal roles. International collaborations are prominent, with active participation from European nations and the Americas. However, it is essential to acknowledge certain limitations, including potential data source biases and a reliance on English-language publications. This analysis serves as a valuable resource for stakeholders in the field, emphasizing the need for ongoing evaluation and collaborative efforts to enhance GMA applications and further our understanding of its clinical implications.

A Call for Early Detection of Cerebral Palsy

Cerebral palsy (CP) is the most common physical disability across the lifespan, but historically, CP has not been diagnosed before the age of 2 years. Barriers to early diagnosis ranged from lack of available biomarkers, absence of curative treatments, perceived stigma associated with a lifelong diagnosis, and a desire to rule out other diagnoses first. Most importantly, the fundamental question that remained was whether children would benefit from earlier detection and intervention given the paucity of research. However, evidence-based guidelines published in 2017 demonstrated that the General Movements Assessment, the Hammersmith Infant Neurological Examination, and neuroimaging can be combined with other elements such as a clinical history and standardized motor assessments to provide the highest predictive value for diagnosing CP as early as age 3 months in high-risk newborns. Implementation of these guidelines has been successful in decreasing the age at CP diagnosis, particularly in high-risk infant follow-up clinics with expertise in performing these assessments. Early detection of CP allows for clinical and research opportunities investigating earlier interventions during a critical period of neuroplasticity, with the goal of improving developmental trajectories for children and their families. New guidelines and research are now being developed with a focus on early, targeted interventions that continue to be studied, along with global detection initiatives.

Using the center of pressure movement analysis in evaluating spontaneous movements in infants: a comparative study with general movements assessment

BACKGROUND

Researchers have attempted to automate the spontaneous movement assessment and have sought quantitative and objective methods over the past decade. The purpose of the study was to present a quantitative assessment method of spontaneous movement using center-of-pressure (COP) movement analysis.

METHODS

A total of 101 infants were included in the study. The infants were placed in the supine position on the force plate with the cranial-caudal orientation. In this position, the recording of video and COP movement data were made simultaneously for 3 min. Video recordings were used to observe global and detailed general movement assessment (GMA), and COP time series data were used to obtain quantitative movement parameters.

RESULTS

According to the global GMA, 13 infants displayed absent fidgety movements (FMs) and 88 infants displayed normal FMs. The binary logistic regression model indicated significant association between global GMA and COP movement parameters (chi-square = 20.817, p < 0.001). The sensitivity, specificity, and overall accuracy of this model were 85% (95% CI: 55-98), 83% (95% CI: 73-90), and 83% (95% CI: 74-90), respectively. The multiple linear regression model showed a significant association between detailed GMA (motor optimality score-revised/MOS-R) and COP movement parameters (F = 10.349, p < 0.001). The MOS-R total score was predicted with a standard error of approximately 1.8 points (6%).

CONCLUSIONS

The present study demonstrated the possible avenues for using COP movement analysis to objectively detect the absent FMs and MOS-R total score in clinical settings. Although the method presented in this study requires further validation, it may complement observational GMA and be clinically useful for infant screening purposes, particularly in clinical settings where access to expertise in observational GMA is not available.

General Movements trajectories and outcome at 12 months in very preterm infants: An analysis of tendencies and pathological persistence

Very preterm infants (VPI) < 32 weeks are at increased risk of developmental disorders detectable using the Prechtl General Movements Assessment (GMA) and the Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III). The aim of this study was to investigate General Movements (GMs) trajectories from preterm to fidgety age including GMs tendencies and their association with cognitive and motor outcome. Retrospective analysis of VPI with GMA at preterm (35 ± 2 weeks postmenstrual age (PMA), T1) and fidgety age (12 ± 3 weeks corrected age CA), T2), and BSID-III (12 ± 3 months CA, T3) is performed. Data are analysed using Pearson χ2-test, Fisher-Freeman-Halton Exact test, and residual analyses. This study found significant associations between (a) GMs (T1) and (b) persistent pathological GMs (T1 + T2) with cognitive outcomes at 12 months (T3) considering the tendencies of GMs in addition to the global character (p = 0.007, p = 0.022, respectively), representing medium-sized effects. There were no significant associations between GMs or persistence of pathological GMs and gross and fine motor outcomes, regardless of GMs tendencies. Findings indicate that considering tendencies of GMs and the persistence of pathological GMs may be important in identifying children at risk of cognitive impairments early. This additional assessment parameter may have the potential for early identification of infants with milder motor and/or cognitive impairments. However, more research is needed using larger sample cohorts to generalise the results and to be able to recommend sequential GMA for clinical routine.

Feeding dysfunction in NICU patients with cramped synchronized movements

Patients admitted to the neonatal intensive care unit (NICU) have higher association for neurodevelopment deficits, specifically cerebral palsy (CP). We identified patients with risk for CP using abnormal Pretchl's General Movement Assessment (GMA) and sub-category of cramped synchronized movements (CSM) and reported their feeding outcomes at discharge. Over 75 % of these patients required either nasogastric (NGT) or gastrostomy tube (GT) at discharge. Of these, 57 % weaned off their NGT or GT at home and 43 % of patients still needed a GT one year after discharge. Of those that could not wean off their NGT or GT, these patients had longer hospital stay, took lower percentage by mouth, and an older post-menstrual age at discharge. We did not find a difference in NGT or GT use between patients with IVH, ELBW, nor between their birthweight or gestation age at birth. This study provides further clinical characteristics in NICU patients who have higher risk of CP, and supports the need for skilled feeding therapy and resources both during and after NICU admission.

Bayley trajectories predict school readiness better than single assessments in formerly very preterm preschoolers

BACKGROUND

Development of children born very preterm (VPT) is evaluated using the Bayley Scales of Infant Development. Early Bayley scores may not predict later outcomes. We studied whether VPT Bayley trajectories in the early years predicted school readiness better than single assessments.

METHODS

We prospectively evaluated 53 VPT at 4-5 years using standardized measures of school readiness, including the domains of cognition, early mathematical and literacy abilities, and motor skills. Predictors were Bayley-III scores obtained 1-5 times/child between 6 and 35 months. Linear mixed models (LMM) with random effects extracted estimated random effect for slope (change in Bayley score/1 year) and fixed+random effect sum for the intercept (initial Bayley score) for each participant, to then evaluate 4-5-year outcomes prediction.

RESULTS

Variability of individual trajectories prevailed across developmental domains. For the initial LMM, adding Bayley change to models with only initial score improved model fits for several Bayley-III domains. Models containing estimates for initial Bayley scores and Bayley change explained significantly more variability in school readiness scores (21-63%) than either variable alone.

CONCLUSION

Neurodevelopmental follow-up of VPT is more relevant to school readiness when children are assessed multiple times in the first 3 years. Neonatal intervention research could use early trajectories rather than single timepoints as outcomes.

IMPACT

This study is the first to examine individual Bayley scores and trajectories to predict school readiness of formerly preterm children at 4-5 years. Modeling demonstrated extreme variability of individual trajectories compared to the group's average trajectories. Models containing initial Bayley scores and Bayley change over time explained more variability in preschool readiness than either variable alone. Using the Bayley to predict future school readiness is enhanced by administration across multiple follow-up visits and inclusion of change across the first 3 years. Follow-up care models and clinical trial design for neonatal interventions may benefit from a trajectory-based approach to outcomes evaluation.

Systemic postnatal corticosteroid use for the prevention of bronchopulmonary dysplasia and its relationship to early neurodevelopment in extremely preterm infants

BACKGROUND

Systemic postnatal corticosteroid use in extremely preterm infants poses a risk of adverse neurodevelopmental outcomes. This study explores their use beyond seven days of age with early neurodevelopmental assessments during the fidgety period (9-20 weeks postterm age).

METHODS

This retrospective single-center cohort study included inborn extremely preterm infants from 1 January 2014 to 31 December 2018. Outborn infants, those with congenital or genetic abnormalities, and those who received postnatal corticosteroids for nonrespiratory reasons were excluded. The cohort was dichotomized based on the status of corticosteroid receipt. Early neurodevelopmental outcomes were reported using Prechtl's General Movements Assessment.

RESULTS

Of the 282 infants, 67 (23.75%) received corticosteroids. Of these, 34 (50.75%) received them for dependency on invasive ventilation (intermittent positive-pressure ventilation), and the remainder received them for dependency on non-invasive ventilation continuous positive airway pressure (CPAP) or bi-level positive airway pressure (BiPAP). Abnormal or absent fidgety movements were observed in 13% of infants (7/54) who received corticosteroids compared to 2% of infants (3/146) who did not. An increased odds for an abnormal general movements assessment from corticosteroid use after adjusting for gestational age [adjusted odds ratio (aOR) = 5.5, 95% confidence interval (CI) = 1.14-26.56] was observed. The motor optimality scores differed between the two groups [corticosteroid group: 25.5 (23-26) versus no-corticosteroid group: 26 (24-28); z =  - 2.02]. A motor optimality score < 20 was observed in 14.8% of infants (8/54) in the corticosteroid group compared to 2% of infants (3/146) in the noncorticosteroid group. This difference was significant after adjustment for gestational age (aOR 5.96, 95% CI 1.28-27.74).

CONCLUSIONS

Abnormal early neurodevelopment was observed in infants who received systemic postnatal corticosteroids. The relationship between these findings and other factors influencing early neurodevelopment needs further exploration.

Mobile Solutions for Clinical Surveillance and Evaluation in Infancy-General Movement Apps

The Prechtl General Movements Assessment (GMA) has become a clinician and researcher toolbox for evaluating neurodevelopment in early infancy. Given that it involves the observation of infant movements from video recordings, utilising smartphone applications to obtain these recordings seems like the natural progression for the field. In this review, we look back on the development of apps for acquiring general movement videos, describe the application and research studies of available apps, and discuss future directions of mobile solutions and their usability in research and clinical practice. We emphasise the importance of understanding the background that has led to these developments while introducing new technologies, including the barriers and facilitators along the pathway. The GMApp and Baby Moves apps were the first ones developed to increase accessibility of the GMA, with two further apps, NeuroMotion and InMotion, designed since. The Baby Moves app has been applied most frequently. For the mobile future of GMA, we advocate collaboration to boost the field's progression and to reduce research waste. We propose future collaborative solutions, including standardisation of cross-site data collection, adaptation to local context and privacy laws, employment of user feedback, and sustainable IT structures enabling continuous software updating.

The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development

Neurodevelopmental delay following extremely preterm birth or birth asphyxia is common but diagnosis is often delayed as early milder signs are not recognised by parents or clinicians. Early interventions have been shown to improve outcomes. Automation of diagnosis and monitoring of neurological disorders using non-invasive, cost effective methods within a patient's home could improve accessibility to testing. Furthermore, said testing could be conducted over a longer period, enabling greater confidence in diagnoses, due to increased data availability. This work proposes a new method to assess the movements in children. Twelve parent and infant participants were recruited (children aged between 3 and 12 months). Approximately 25 min 2D video recordings of the infants organically playing with toys were captured. A combination of deep learning and 2D pose estimation algorithms were used to classify the movements in relation to the children's dexterity and position when interacting with a toy. The results demonstrate the possibility of capturing and classifying children's complexity of movements when interacting with toys as well as their posture. Such classifications and the movement features could assist practitioners to accurately diagnose impaired or delayed movement development in a timely fashion as well as facilitating treatment monitoring.

Implementation of Early Detection and Intervention for Cerebral Palsy in High-Risk Infant Follow-Up Programs: U.S. and Global Considerations

Early detection and intervention for cerebral palsy is best practice for all high-risk infants according to international guidelines, consensus statements and research-supported evidence. It allows support for families and optimization of developmental trajectories into adulthood. All phases of implementation of CP early detection can be found across the world in high-risk infant follow-up programs, demonstrating feasibility and acceptability through standardized implementation science. The largest clinical network for CP early detection and intervention in the world has now sustained an average age at detection less than 12 months corrected age for more than 5 years. Targeted referrals and interventions for CP can now be offered to patients in optimal periods of neuroplasticity, and new therapies researched as the age of detection decreases. Implementation of guidelines and incorporation of rigorous CP research studies both allow high-risk infant follow-up programs to fulfill their mission of improving outcomes of those with the most vulnerable developmental trajectories from birth.

Early detection of developmental delay in infants born very preterm or with very low birthweight

AIM

This study aimed to identify early clinical biomarkers from birth to 16 weeks corrected age to predict typical outcome and developmental delay in infants born very preterm or with very low birthweight.

METHOD

A prospective cohort of infants on the Sunshine Coast, Australia, was assessed using the Premie-Neuro Examination, the General Movement Assessment (GMA), the Alberta Infant Motor Scale, and the Infant Sensory Profile 2. At 24 months corrected age, delay was identified using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) and Neurosensory Motor Developmental Assessment (NSMDA).

RESULTS

One hundred and four infants were recruited; 79 completed outcome assessments (43 females, 36 males; mean gestational age 30 weeks [SD 1 week 6 days], mean birthweight 1346 g [SD 323]). The incidence of developmental delay (motor or cognitive) was 6.3%. Suboptimal quality of fidgety general movements (temporal organization) at 16 weeks corrected age demonstrated the best predictive accuracy (Bayley-III motor: sensitivity 100% [95% confidence interval {CI} 3-100], specificity 75% [95% CI 63-84], area under the curve [AUC] 0.87); Bayley-III cognitive: sensitivity 100% [95% CI 3-100], specificity 75% [95% CI 64-84], AUC 0.88); NSMDA motor: sensitivity 100% [95% CI 40-100], specificity 81% [95% CI 70-90], AUC 0.91 [95% CI 0.86-0.95]). GMA trajectories that combined abnormal writhing general movements at 4 to 5 weeks corrected age with suboptimal quality of fidgety movement at 16 weeks corrected age were strongly predictive of developmental delay, superior to all other clinical tools, and perinatal and demographic variables investigated (p = 0.01, Akaike information criterion method 18.79 [score corrected for small sample size], accounting for 93% of the cumulative weight).

INTERPRETATION

Only the GMA had sufficient predictive validity to act as a biomarker for both conditions: typical outcome and developmental delay (motor or cognitive). GMA trajectories that assessed both writhing general movements at 4 to 5 weeks corrected age and quality of fidgety movement at 16 weeks corrected age predicted adverse neurodevelopmental outcome, accurately differentiating between infants with typical outcomes and those at increased risk for motor or cognitive delay.