Literature DB >> 26852826

Longitudinal study of preterm and full-term infants: High-density EEG analyses of cortical activity in response to visual motion.

Seth B Agyei1, F R Ruud van der Weel1, Audrey L H van der Meer1.   

Abstract

Electroencephalogram (EEG) was used to investigate brain electrical activity of full-term and preterm infants at 4 and 12 months of age as a functional response mechanism to structured optic flow and random visual motion. EEG data were recorded with an array of 128-channel sensors. Visual evoked potentials (VEPs) and temporal spectral evolution (TSE, time-dependent amplitude changes) were analysed. VEP results showed a significant improvement in full-term infants' latencies with age for forwards and reversed optic flow but not random visual motion. Full-term infants at 12 months significantly differentiated between the motion conditions, with the shortest latency observed for forwards optic flow and the longest latency for random visual motion, while preterm infants did not improve their latencies with age, nor were they able to differentiate between the motion conditions at 12 months. Differences in induced activities were also observed where comparisons between TSEs of the motion conditions and a static non-flow pattern showed desynchronised theta-band activity in both full-term and preterm infants, with synchronised alpha-beta band activity observed only in the full-term infants at 12 months. Full-term infants at 12 months with a substantial amount of self-produced locomotor experience and neural maturation coupled with faster oscillating cell assemblies, rely on the perception of structured optic flow to move around efficiently in the environment. The poorer responses in the preterm infants could be related to impairment of the dorsal visual stream specialized in the processing of visual motion.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EEG; ERP; Infants; Locomotion; Motion perception; Optic flow; Prematurity; Random motion; Self-motion; TSE; Time-frequency analysis; VEP; Visual motion; Visual perception

Mesh:

Year:  2016        PMID: 26852826     DOI: 10.1016/j.neuropsychologia.2016.02.001

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


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