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Attentional networks efficiency in preterm children

Contributors

Pizzo, Roxane; Urben, Sébastien; Van der Linden, Martial; Borradori Tolsa, Cristina; Freschi, M.; Forcada-Guex, M.; Hüppi, Petra Susan; Barisnikov, Koviljka

Published in

Journal of the International Neuropsychological Society, vol. 16, no. 1, p. 130-137

Publication date

2010

Abstract

Recent studies have reported specific executive and attentional deficits in preterm children. However, the majority of this research has used multidetermined tasks to assess these abilities, and the interpretation of the results lacks an explicit theoretical backdrop to better understand the origin of the difficulties observed. In the present study, we used the Child Attention Network Task (Child ANT; Rueda et al. 2004) to assess the efficiency of the alerting, orienting and executive control networks. We compared the performance of 25 preterm children (gestational age < or = 32 weeks) to 25 full-term children, all between 5(1/2) and 6(1/2) years of age. Results showed that, as compared to full-term children, preterm children were slower on all conditions of the Child ANT and had a specific deficit in executive control abilities. We also observed a significantly higher correlation between the orienting and executive control networks in the preterm group, suggesting less differentiation of these two networks in this population.

Keywords

  • Analysis of Variance
  • Attention/physiology
  • Attention Deficit Disorder with Hyperactivity/etiology/pathology
  • Child
  • Child, Preschool
  • Executive Function/physiology
  • Female
  • Humans
  • Male
  • Neuropsychological Tests
  • Numerical Analysis, Computer-Assisted
  • Premature Birth/physiopathology
  • Reaction Time/physiology
  • Statistics as Topic

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

PIZZO, Roxane et al. Attentional networks efficiency in preterm children. In: Journal of the International Neuropsychological Society, 2010, vol. 16, n° 1, p. 130–137. doi: 10.1017/S1355617709991032

Main files (1)

Article (Published version)

Identifiers

Additional URL for this publication

http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=6892420

Journal ISSN

1355-6177
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883downloads

Technical informations

Creation

05/03/2010 16:58:00

First validation

05/03/2010 16:58:00

Update

14/03/2023 15:24:44

Status update

14/03/2023 15:24:44

Last indexation

29/10/2024 13:04:00
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