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The influence of very preterm birth on adolescent EEG connectivity, network organization and long-term outcome
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van't Westende, C., Twilhaar, E. S., Stam, C. J., de Kieviet, J. F., van Elburg, R. M., Oosterlaan, J. and van de Pol, L. A. (2023) The influence of very preterm birth on adolescent EEG connectivity, network organization and long-term outcome. Clinical Neurophysiology, 154 . pp. 49-59. doi:10.1016/j.clinph.2023.07.004 ISSN 1388-2457.
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Official URL: https://doi.org/10.1016/j.clinph.2023.07.004
Abstract
Objective
The aim of this study was to explore differences in functional connectivity and network organization between very preterm born adolescents and term born controls and to investigate if these differences might explain the relation between preterm birth and adverse long-term outcome.
Methods
Forty-seven very preterm born adolescents (53% males) and 54 controls (54% males) with matching age, sex and parental educational levels underwent high-density electroencephalography (EEG) at 13 years of age. Long-term outcome was assessed by Intelligence Quotient (IQ), motor, attentional functioning and academic performance. Two minutes of EEG data were analysed within delta, theta, lower alpha, upper alpha and beta frequency bands. Within each frequency band, connectivity was assessed using the Phase Lag Index (PLI) and Amplitude Envelope Correlation, corrected for volume conduction (AEC-c). Brain networks were constructed using the minimum spanning tree method.
Results
Very preterm born adolescents had stronger beta PLI connectivity and less differentiated network organization. Beta AEC-c and differentiation of AEC-c based networks were negatively associated with long-term outcomes. EEG measures did not mediate the relation between preterm birth and outcomes.
Conclusions
This study shows that very preterm born adolescents may have altered functional connectivity and brain network organization in the beta frequency band. Alterations in measures of functional connectivity and network topologies, especially its differentiating characteristics, were associated with neurodevelopmental functioning.
Significance
The findings indicate that EEG connectivity and network analysis is a promising tool for investigating underlying mechanisms of impaired functioning.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QP Physiology R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||||
Library of Congress Subject Headings (LCSH): | Prematurely born children, Premature infants -- Development, Electroencephalography | ||||||||
Journal or Publication Title: | Clinical Neurophysiology | ||||||||
Publisher: | Elsevier Ireland Ltd. | ||||||||
ISSN: | 1388-2457 | ||||||||
Official Date: | October 2023 | ||||||||
Dates: |
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Volume: | 154 | ||||||||
Page Range: | pp. 49-59 | ||||||||
DOI: | 10.1016/j.clinph.2023.07.004 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 14 September 2023 | ||||||||
Date of first compliant Open Access: | 15 September 2023 | ||||||||
RIOXX Funder/Project Grant: |
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