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Computer-based analysis of general movements reveals stereotypies predicting cerebral palsy

PHILIPPI H; KARCH D; KANG KS; WOCHNER K; PIETZ J; DICKHAUS H; HADDERS ALGRA M
DEV MED CHILD NEUROL , 2014, vol. 56, n° 10, p. 960-967
Doc n°: 170754
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1111/dmcn.12477
Descripteurs : AJ23 - PARALYSIE CEREBRALE, AD3 - MOTRICITE

AIM: To evaluate a kinematic paradigm of automatic general movements analysis in
comparison to clinical assessment in 3-month-old infants and its prediction for
neurodevelopmental outcome. METHOD: Preterm infants at high risk (n=49; 26 males,
23 females) and term infants at low risk (n=18; eight males, 10 females) of
developmental impairment were recruited from hospitals around Heidelberg,
Germany. Kinematic analysis of general movements by magnet tracking and clinical
video-based assessment of general movements were performed at 3 months of age.
Neurodevelopmental outcome was evaluated at 2 years. By comparing the general
movements of small samples of children with and without cerebral palsy (CP), we
developed a kinematic paradigm typical for infants at risk of developing CP. We
tested the validity of this paradigm as a tool to predict CP and
neurodevelopmental impairment. RESULTS: Clinical assessment correctly identified
almost all infants with neurodevelopmental impairment including CP, but did not
predict if the infant would be affected by CP or not. The kinematic analysis, in
particular the stereotypy score of arm movements, was an excellent predictor of
CP, whereas stereotyped repetitive movements of the legs predicted any
neurodevelopmental impairment. INTERPRETATION: The automatic assessment of the
stereotypy score by magnet tracking in 3-month-old spontaneously moving infants
at high risk of developmental abnormalities allowed a valid detection of infants
affected and unaffected by CP.
CI - (c) 2014 Mac Keith Press.

Langue : ANGLAIS

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