Literature DB >> 26163804

Structural damage in early preterm brain changes the electric resting state networks.

Amir Omidvarnia1, Marjo Metsäranta2, Aulikki Lano3, Sampsa Vanhatalo4.   

Abstract

A robust functional bimodality is found in the long-range spatial correlations of newborn cortical activity, and it likely provides the developmentally crucial functional coordination during the initial growth of brain networks. This study searched for possible acute effects on this large scale cortical coordination after acute structural brain lesion in early preterm infants. EEG recordings were obtained from preterm infants without (n=11) and with (n=6) haemorrhagic brain lesion detected in their routine ultrasound exam. The spatial cortical correlations in band-specific amplitudes were examined within two amplitude regimes, high and low amplitude periods, respectively. Technical validation of our analytical approach showed that bimodality of this kind is a genuine physiological characteristic of each brain network. It was not observed in datasets created from uniform noise, neither is it found between randomly paired signals. Hence, the observed bimodality arises from specific interactions between cortical regions. We found that significant long-range amplitude correlations are found in most signal pairs in both groups at high amplitudes, but the correlations are generally weaker in newborns with brain lesions. The group difference is larger during high mode, however the difference did not have any statistically apparent topology. Graph theoretical analysis confirmed a significantly larger weight dispersion in the newborns with brain lesion. Comparison of graph measures to a child's performance at two years showed that lower clustering coefficient and weight dispersion were both correlated to better neurodevelopmental outcomes. Our findings suggest that the common preterm brain haemorrhage causes diffuse changes in the functional long-range cortical correlations. It has been recently recognized that the high mode network activity is crucial for early brain development. The present observations may hence offer a mechanistic link between early lesion and the later emergence of complex neurocognitive sequelae.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain lesion; Development; Functional connectivity; Intraventricular haemorrhage; Neonatal EEG; Resting state network

Mesh:

Year:  2015        PMID: 26163804     DOI: 10.1016/j.neuroimage.2015.06.091

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  7 in total

Review 1.  Neonatal brain injury and aberrant connectivity.

Authors:  Christopher D Smyser; Muriah D Wheelock; David D Limbrick; Jeffrey J Neil
Journal:  Neuroimage       Date:  2018-07-27       Impact factor: 6.556

2.  Feasibility of event-related potential (ERP) biomarker use to study effects of mother's voice exposure on speech sound differentiation of preterm infants.

Authors:  Olena D Chorna; Ellyn L Hamm; Hemang Shrivastava; Nathalie L Maitre
Journal:  Dev Neuropsychol       Date:  2018       Impact factor: 2.253

Review 3.  Early development of sleep and brain functional connectivity in term-born and preterm infants.

Authors:  Julie Uchitel; Sampsa Vanhatalo; Topun Austin
Journal:  Pediatr Res       Date:  2021-04-15       Impact factor: 3.756

4.  Early development of synchrony in cortical activations in the human.

Authors:  N Koolen; A Dereymaeker; O Räsänen; K Jansen; J Vervisch; V Matic; G Naulaers; M De Vos; S Van Huffel; S Vanhatalo
Journal:  Neuroscience       Date:  2016-02-11       Impact factor: 3.590

5.  Using multiple short epochs optimises the stability of infant EEG connectivity parameters.

Authors:  Rianne Haartsen; Bauke van der Velde; Emily J H Jones; Mark H Johnson; Chantal Kemner
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

Review 6.  Aberrant structural and functional connectivity and neurodevelopmental impairment in preterm children.

Authors:  Cynthia E Rogers; Rachel E Lean; Muriah D Wheelock; Christopher D Smyser
Journal:  J Neurodev Disord       Date:  2018-12-13       Impact factor: 4.025

7.  Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes.

Authors:  Kirubin Pillay; Anneleen Dereymaeker; Katrien Jansen; Gunnar Naulaers; Maarten De Vos
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

  7 in total

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