A brain-age model for preterm infants based on functional connectivity
| Autor: | Gunnar Naulaers, Mario Lavanga, Katrien Jansen, Anneleen Dereymaeker, Alexander Caicedo, O De Wel, S. Van Huffel |
|---|---|
| Přispěvatelé: | Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Aging
Technology Coefficient of determination Brain development Physiology Models Neurological Biomedical Engineering Mean absolute error Biophysics Electroencephalography Positive correlation preterm infant Combinatorics 03 medical and health sciences 0302 clinical medicine Text mining Engineering 030225 pediatrics Physiology (medical) medicine early brain development Humans Engineering Biomedical ComputingMilieux_MISCELLANEOUS Mathematics Science & Technology medicine.diagnostic_test business.industry Functional connectivity [SCCO.NEUR]Cognitive science/Neuroscience functional connectivity Brain Infant preterm neonatal EEG Function (mathematics) EEG DATA Nerve Net business Life Sciences & Biomedicine Infant Premature 030217 neurology & neurosurgery |
| Zdroj: | Physiological Measurement Physiological Measurement, IOP Publishing, 2018, 39 (4), pp.044006. ⟨10.1088/1361-6579/aabac4⟩ |
| ISSN: | 0967-3334 1361-6579 |
| Popis: | OBJECTIVE: In this study, the development of EEG functional connectivity during early development has been investigated in order to provide a predictive age model for premature infants. APPROACH: The functional connectivity has been assessed via the coherency function (its imaginary part (ImCoh) and its mean squared magnitude (MSC)), the phase locking value ([Formula: see text]) and the Hilbert-Schimdt dependence (HSD) in a dataset of 30 patients, partially described and employed in previous studies (Koolen et al 2016 Neuroscience 322 298-307; Lavanga et al 2017 Complexity 2017 1-13). Infants' post-menstrual age (PMA) ranges from 27 to 42 weeks. The topology of the EEG couplings has been investigated via graph-theory indices. MAIN RESULTS: Results show a sharp decrease in ImCoh indices in θ, (4-8) Hz and α, (8-16) Hz bands and MSC in β, (16-32) Hz band with maturation, while a more modest positive correlation with PMA is found for HSD, [Formula: see text] and MSC in [Formula: see text], θ, α bands. The best performances for the PMA prediction were mean absolute error equal to 1.51 weeks and adjusted coefficient of determination [Formula: see text] equal to 0.8. SIGNIFICANCE: The reported findings suggest a segregation of the cortex connectivity, which favours a diffused tasks architecture on the brain scalp. In summary, the results indicate that the neonates' brain development can be described via lagged-interaction network features. ispartof: PHYSIOLOGICAL MEASUREMENT vol:39 issue:4 ispartof: location:England status: published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|