Brain network analysis in preterm infants using electro-encephalography

Brain network analysis in preterm infants using electro-encephalography - Brain network analysis in preterm infants

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON44140

Enrollment

Registered

2016-04-04

Start date

2017-08-08

Completion date

Unknown

Last updated

2024-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

premature preterm

Interventions

None listed

Eligibility

Age

2 Years to 11 Years

Inclusion criteria

Inclusion criteria: retrospective part: all infants (28-42 weeks gestational age) who underwent EEG in the last three years. Prospective part: very preterm born infants (28-32 weeks gestational age) admitted to the NICU of the VUmc and term born control infants born in het VUmc.

Exclusion criteria

Exclusion criteria: Antenatal congenital infection, Congenital malformation or syndrome, Invasive respiratory support, Severe complications during NICU admission

Design outcomes

Primary

Measure	Time frame
Phase 1: Retrospective study Exploration of measures of coupling and organisation of EEG functional brain networks in relation to gestational age by using measures for general connectivity: the Phase Lag Index (PLI) and directed connectivity (the Phase Transfer Entropy) and network organization (Minimum Spanning Tree analysis (leaf number, diameter, betweenness centrality)). Phase 2: Prospective study: Main study endpoints are differences in measures of coupling and organisation of EEG functional brain networks between the preterm and term born children at baseline and at the (corrected) age of 2 years and the longitudinal network changes between baseline and at 2 years. Importantly, baseline EEG network measures will be correlated with neurodevelopmental outcome at 2 years of (corrected) age. As measures for general connectivity the Phase Lag Index (PLI) and the Phase Transfer Entropy will be used. In addition, Minimum Spanning Tree analysis (leaf number, diameter, betweenness centrality) will be used.	—

Measure

Time frame

Phase 1: Retrospective study Exploration of measures of coupling and organisation of EEG functional brain networks in relation to gestational age by using measures for general connectivity: the Phase Lag Index (PLI) and directed connectivity (the Phase Transfer Entropy) and network organization (Minimum Spanning Tree analysis (leaf number, diameter, betweenness centrality)). Phase 2: Prospective study: Main study endpoints are differences in measures of coupling and organisation of EEG functional brain networks between the preterm and term born children at baseline and at the (corrected) age of 2 years and the longitudinal network changes between baseline and at 2 years. Importantly, baseline EEG network measures will be correlated with neurodevelopmental outcome at 2 years of (corrected) age. As measures for general connectivity the Phase Lag Index (PLI) and the Phase Transfer Entropy will be used. In addition, Minimum Spanning Tree analysis (leaf number, diameter, betweenness centrality) will be used.

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Secondary

Measure	Time frame
see primary study parameters	—

Countries

Netherlands

Outcome results