TY - JOUR
T1 - A brain-age model for preterm infants based on functional connectivity
AU - Lavanga, M.
AU - De Wel, O.
AU - Caicedo, A.
AU - Jansen, K.
AU - Dereymaeker, A.
AU - Naulaers, G.
AU - Van Huffel, S.
N1 - Funding Information:
This research is supported by Bijzonder Onderzoeksfonds KU Leuven (BOF): The effect of perinatal stress on the later outcome in preterm babies (# C24/15/036); imec funds 2017; Belgian Foreign Affairs-Development Cooperation (VLIR UOS programs (2013–2019)); EU: The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) / ERC Advanced Grant: BIOTENSORS (n° 339804); ERASMUS +: INGDIVS 2016-1-SE01-KA203-022114; EU H2020-FETOPEN ’AMPHORA’ # 766456. This paper reflects only the authors’ views and the Union is not liable for any use that may be made of the contained information. ML is a SB PhD fellow at Fonds voor Wetenschappelijk Onderzoek-Vlaanderen (FWO), supported by Flemish government.
Publisher Copyright:
© 2018 Institute of Physics and Engineering in Medicine.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - 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 () 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 μ, (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, and MSC in , θ, μ bands. The best performances for the PMA prediction were mean absolute error equal to 1.51 weeks and adjusted coefficient of determination 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.
AB - 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 () 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 μ, (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, and MSC in , θ, μ bands. The best performances for the PMA prediction were mean absolute error equal to 1.51 weeks and adjusted coefficient of determination 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.
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U2 - 10.1088/1361-6579/aabac4
DO - 10.1088/1361-6579/aabac4
M3 - Research Article
C2 - 29596059
AN - SCOPUS:85047310374
SN - 0967-3334
VL - 39
JO - Physiological Measurement
JF - Physiological Measurement
IS - 4
M1 - 044006
ER -