Functional connectivity in preterm infants derived from EEG coherence analysis

Meijer, EJ Eduard; Hermans, Ko; Zwanenburg, Alex; Jennekens, Ward; Niemarkt, H. J.; Cluitmans, Pjm Pierre; Pul, van C Carola; Wijn, Pff Pieter; Andriessen, Peter

doi:10.1016/j.ejpn.2014.08.003

Cited by 40 publications

(40 citation statements)

References 51 publications

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“…The first one is the faster development of the thalamocortical connections compared to the corticocortical ones [5]. The shift from one type of connections to the other happens only at later age [41]; therefore, the maturation process might lead to "separation" of the nodes, as reflected by the results in this study. In simple terms, the EEGscalp connections became weaker in favour of a connection strengthening between the cortical and subcortical areas.…”

Section: Eeg Datasupporting

confidence: 50%

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

et al. 2017

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In recent years, functional connectivity in the developmental science received increasing attention. Although it has been reported that the anatomical connectivity in the preterm brain develops dramatically during the last months of pregnancy, little is known about how functional and effective connectivity change with maturation. The present study investigated how effective connectivity in premature infants evolves. To assess it, we use EEG measurements and graph-theory methodologies. We recorded data from 25 preterm babies, who underwent long-EEG monitoring at least twice during their stay in the NICU. The recordings took place from 27 weeks postmenstrual age (PMA) until 42 weeks PMA. Results showed that the EEG-connectivity, assessed using graphtheory indices, moved from a small-world network to a random one, since the clustering coefficient increases and the path length decreases. This shift can be due to the development of the thalamocortical connections and long-range cortical connections. Based on the network indices, we developed different age-prediction models. The best result showed that it is possible to predict the age of the infant with a root mean-squared error ( √ MSE) equal to 2.11 weeks. These results are similar to the ones reported in the literature for age prediction in preterm babies. IntroductionThe brain can be seen as a complex network of interacting regions and hierarchical communications, which are constrained by the anatomy, but not limited to it [1]. The neuronal clusters can actually work together and communicate to perform a joint task beyond their structural locations. The clinical literature [2] distinguishes this type of connectivity from the anatomical one, which is often called structural. The consequence of this functional infrastructure is the generation of complex electrophysiological patterns, which are temporally correlated, by distant cerebral areas [3]. Those spatiotemporal patterns are dynamic; they change according to the individual development trajectory [4]. In particular, the last trimester of gestation is a period of brain development, which includes both anatomical rewiring [5] and electrophysiological modifications [6]. Different authors illustrated that the cortical regions undergo differentiation, folding, and gyrification, while the subcortical areas experience synaptogenesis and myelination as well as neural pruning to establish thalamocortical connections or long distance cortical connections [7,8]. Based on MRI scans of preterm babies, Dubois et al. [8] showed that the white matter volume and the inner cortical surface increase with gestational age. Furthermore, the same author [8,9] demonstrated that fractional anisotropy (FA) of the brain fiber bundles increases with postbirth maturation, although the different connection pathways seem to develop in an asynchronous way. According to Batalle et al. [5], FA is a measure of anatomical directivity that describes the connectivity

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Section: Eeg Datasupporting

confidence: 50%

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

et al. 2017

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“…Although countless ERP studies have been conducted in preterm-born infants in neonatal intensive care units19,20 and in the postnatal period,21–23 less ERP research has been carried out in children, adolescents, or adults born preterm. The ERP studies that have been conducted in preterm-born children have focused mainly on auditory ERP components 24–26.…”

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confidence: 99%

Association of Preterm Birth With Attention-Deficit/Hyperactivity Disorder–Like and Wider-Ranging Neurophysiological Impairments of Attention and Inhibition

Rommel

James

McLoughlin

et al. 2017

Journal of the American Academy of Child & Adolescent Psych

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ObjectivePreterm birth has been associated with an increased risk of attention-deficit/hyperactivity disorder (ADHD)–like symptoms and cognitive impairments similar to those seen in ADHD, including attention and inhibitory control difficulties. Yet data on direct comparisons across ADHD and preterm birth on cognitive-neurophysiological measures are limited.MethodWe directly compared 186 preterm-born adolescents to 69 term-born adolescents with ADHD and 135 term-born controls on cognitive-performance and event-related potential measures associated with attentional and inhibitory processing from a cued continuous performance test (CPT-OX), which we have previously shown to discriminate between the adolescents with ADHD and controls. We aimed to elucidate whether the ADHD-like symptoms and cognitive impairments in preterm-born individuals reflect identical cognitive-neurophysiological impairments in term-born individuals with ADHD.ResultsGo-P3 amplitude was reduced, reflecting impaired executive response control, in preterm-born adolescents compared to both controls and adolescents with ADHD. Moreover, in preterm-born adolescents, as in term-born adolescents with ADHD, contingent negative variation amplitude was attenuated, reflecting impairments in response preparation compared to controls. Although the ADHD group showed significantly increased NoGo-P3 amplitude at FCz compared to preterm group, at Cz preterm-born adolescents demonstrated significantly decreased NoGo-P3 amplitude compared to the control group, similar to term-born adolescents with ADHD.ConclusionThese findings indicate impairments in response preparation, executive response control, and response inhibition in preterm-born adolescents. Although the response preparation and response inhibition impairments found in preterm-born adolescents overlap with those found in term-born adolescents with ADHD, the preterm group also shows unique impairments, suggesting more wide-ranging impairments in the preterm group compared to the ADHD group.

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“…Higher coherence in frontal vs. posterior brain areas has previously been observed in full‐term newborns with prenatal exposure to antiepileptic drugs ( p = 0.003) and lower, though not significantly different, coherence has been observed in control newborns (Videman et al, 2016). Another study suggested higher coherence in beta frequency ranges of occipital vs. frontal channels in newborns at 36 weeks of gestational age (Meijer et al, 2014). Similarly to Meijer et al (2014), a peak in coherence in the low frequency range (<5 Hz) was observed in the fronto‐central region.…”

Section: Discussionmentioning

confidence: 99%

“…Another study suggested higher coherence in beta frequency ranges of occipital vs. frontal channels in newborns at 36 weeks of gestational age (Meijer et al, 2014). Similarly to Meijer et al (2014), a peak in coherence in the low frequency range (<5 Hz) was observed in the fronto‐central region. As previously described, the higher coherence value in the low frequency range might be associated with the development of thalamo‐cortical connections.…”

Section: Discussionmentioning

confidence: 99%

Pilot study of EEG in neonates born to mothers with gestational diabetes mellitus

Léveillé

Hamel

Ardilouze

et al. 2018

Intl J of Devlp Neuroscience

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Our results support that EEG differences between groups were mainly modified by gestational age and less by GDM status of the mothers. However, there is a need to confirm this result with a higher number of mother-newborns. Quantitative EEG in GDM newborns within 48 h after birth is feasible. This study emphasizes the importance of controlling blood glucose during GDM to protect infant brain development.

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Functional connectivity in preterm infants derived from EEG coherence analysis

Cited by 40 publications

References 51 publications

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

Association of Preterm Birth With Attention-Deficit/Hyperactivity Disorder–Like and Wider-Ranging Neurophysiological Impairments of Attention and Inhibition

Pilot study of EEG in neonates born to mothers with gestational diabetes mellitus

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