Early Detection of Cerebral Palsy Using Standardized Screening Assessments in Neonatal Hypoxic Ischemic

Mallory Kerner-Rossi1, William Gomes2, Tristan Sands1

  • 1Department of Neurology, Columbia University Medical Center, New York, NY, USA.

Journal of Child Neurology
|February 13, 2026
PubMed

Insights

Prechtl's General Movement Assessment (GMA) shows promise for early cerebral palsy detection in infants with hypoxic ischemic encephalopathy (HIE). GMA absence of fidgety movements correlated with brain injury severity, aiding early identification.

Area of Science:

  • Neonatal neurology
  • Developmental pediatrics
  • Neuroimaging

Background:

  • Prechtl's General Movement Assessment (GMA) and Hammersmith Infant Neurological Exam (HINE) are crucial for early cerebral palsy (CP) detection in high-risk infants.
  • While validated in preterm infants, their utility in term infants with hypoxic ischemic encephalopathy (HIE) undergoing therapeutic hypothermia (TH) requires further investigation.

Purpose of the Study:

  • To evaluate the additional prognostic value of GMA and HINE in term/near-term infants with HIE treated with TH.
  • To explore associations between HIE severity, clinical course, EEG, MRI findings, and GMA/HINE performance.

Main Methods:

  • Retrospective and prospective pilot case series of 20 neonates with HIE treated with TH.
  • Analysis of correlations between HIE severity, EEG background, MRI injury patterns, and GMA/HINE assessments.

Main Results:

  • Absence of fidgety movements on GMA strongly correlated with EEG background severity and MRI gray matter injury.
  • No significant associations were found between 3-month HINE scores and clinical measures.
  • 3-month HINE scores were below norms but normalized over time in infants with normal fidgety movements.

Conclusions:

  • GMA is a valuable early outcome measure for identifying CP in HIE infants treated with TH.
  • Longitudinal HINE scores can further refine CP severity and topography assessment.
  • Further research with larger sample sizes and long-term outcomes is needed to confirm generalizability.

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