Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants
Abstract
Objective To study the relative efficacy of three early predictors of cerebral palsy.Method One Hundred and thirty infants with birth weight <1500 g were recruited. Video recordings of spontaneous general movements were made at 36 and 52 weeks postconceptional age. Magnetic resonance imaging and the neurobehavioral assessment of the preterm infant were done at 36 weeks postconceptional age. Follow-up neurological examination and Bayley assessments were made at 18 months corrected age to make early identification of cerebral palsy.Results Magnetic resonance imaging gave the best specificity and accuracy of 91 and 84% respectively. General movements at 52 weeks showed an improved specificity and accuracy over performance at 36 weeks postconceptional age. The negative predictive value for all methods tested was between 90 and 97%. Combining the results of magnetic resonance imaging and the neurobehavioral assessment improved the sensitivity of prediction to 80%, suggesting that a holistic approach to early detection of cerebral lesions is preferable to a single test.Conclusions The majority of infants who appeared to behave within normal limits and exhibit normal brain structure in the newborn period were classified as neurologically intact at follow-up.
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Early detection of infant neuromotor pathologies is critical for timely therapeutic interventions that rely on early-life neuroplasticity.
“Early detection of infant neuromotor pathologies is critical for timely therapeutic interventions that rely on early-life neuroplasticity.”
From Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants (2021) · cites this paper as [5]
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- Authors
- Constantinou, J. C., Adamson-Macedo, E. N., Mirmiran, M., & Fleisher, B. E.
- Affiliations
- Stanford Medicine (US)
- University of Wolverhampton (GB)
- Corresponding author
- Constantinou, J C
- Venue
- Journal of Perinatology
- Published
- 2007-02-15
- Volume
- 27
- Issue
- 4
- Pages
- 225-229
- ISSN
- 0743-8346 (ISSN-L)
- 1476-5543
- OpenAlex
- W1965873886
- Cited by
- 83
- References
- 21
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 6 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 4 · 2017: 9 · 2016: 8 · 2015: 8 · 2014: 5 · 2013: 2 · 2012: 3
- FWCI
- 3.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Perinatology (publishedVersion)
- PubMed (publishedVersion)
- Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton) (submittedVersion)
- Funders
- National Center for Research Resources (M01RR000070)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Neonatal and fetal brain pathology
- Health Sciences › Medicine › Psychiatry and Mental health › Cerebral Palsy and Movement Disorders
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
- Keywords
- cerebral palsy, preterm infants, early prediction, general movements, magnetic resonance imaging, neurobehavioral assessment, Bayley Scales, brain lesions, neurodevelopmental outcomes, diagnostic accuracy
- MeSH terms
- Cerebral Palsy, Female, Humans, Infant, Infant, Newborn, Infant, Premature, Magnetic Resonance Imaging, Male, Movement, Predictive Value of Tests, Respiration, Artificial, Sensitivity and Specificity, Video Recording, Early Diagnosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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