The degree of prematurity affects functional brain activity in preterm born children at school-age: An EEG study

Westende, Charlotte van ’t; Peeters-Scholte, Cacha; Jansen, Lisette; Dam, Janneke C. van Egmond-van; Tannemaat, Martijn R.; Bruı̈ne, Francisca T. de; Berg-Huysmans, Annette A. van den; Geraedts, Victor J.; Gouw, Alida A.; Steggerda, Sylke J.; Stam, Cornelis J.; Pol, Laura A. van de

doi:10.1016/j.earlhumdev.2020.105096

Cited by 5 publications

(5 citation statements)

References 37 publications

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“…Our work extends prior knowledge by showing that intrinsic multiplex network characteristics are indeed latent properties in the high‐level noise, and they can be uncovered by the developed framework in a robust manner. Specifically, prior studies in infants have only examined temporally and/or spectrally static networks (Omidvarnia et al, 2015 ; Tokariev et al, 2019 ; Westende et al, 2020 ; Yrjölä et al, 2022 ), whereas some studies in adults have explored the combination of spectrally distributed networks (Buldú & Porter, 2018 ; Vaiana & Muldoon, 2020 ; Zhu, Liu, Ye, et al, 2020 ) and their dynamic changes (Chantal et al, 2021 ; Esfahlani et al, 2020 ; Mahyari et al, 2017 ; Mehrkanoon et al, 2014 ; Tewarie et al, 2019 ; Zhu, Liu, Mathiak, et al, 2020 ; Zhu, Liu, Ye, et al, 2020 ). In contrast, the proposed mdFCN analysis pipeline fully exploits the network dynamic multiplexity and introduces significant improvements.…”

Section: Discussionmentioning

confidence: 99%

“…First, it extracts latent representations from group‐level mdFCNs to effectively suppress noise and/or intersubject variations. This is essential to uncover the group‐level structure (Mehrkanoon et al, 2021 ; Zhu, Liu, Mathiak, et al, 2020 ), to support the network decomposition task because high variability leads to superfluous components, and to yield reliable/repeatable findings (Panwar et al, 2021 ; Shellhaas et al, 2022 ; Westende et al, 2020 ). The latter is paramount because phase‐based functional connectivity measures are challenged with relatively lower test–retest reliability when compared to amplitude‐based connectivity metrics (Colclough et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

“…An age‐appropriate activity is essential for supporting the organization of early FCNs that will develop further to sustain lifelong neurocognitive performance (Oldham & Fornito, 2019 ). The sensitivity of early neuronal activity to homeostatic and environmental effects implies that early FCNs are exquisitely sensitive to a range of early‐life medical adversities, such as in utero exposures to maternal illness or drug treatments (Tokariev et al, 2021 ; Tokariev et al, 2022 ; Videman et al, 2016 ), prematurity (Omidvarnia et al, 2015 ; Tokariev et al, 2018 ; Tokariev et al, 2019 ; Uchitel et al, 2022 ; Westende et al, 2020 ; Yrjölä et al, 2021 ; Yrjölä et al, 2022 ), or perinatal events (Abbas et al, 2021 ; Rocca et al, 2020 ). Understanding neurobehavioral and clinical correlates of the cortical activity networks in newborn infants, directly builds the systems‐level mechanistic understanding of how early neural activity supports the development of neurocognitive functions (Tokariev et al, 2021 ; Yrjölä et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Studies on the functional connectivity are usually focused on measuring time‐averaged neuronal coupling at specific oscillatory frequencies; however, neuronal activity is known to exhibit multiplex network dynamics (Bassett & Sporns, 2017 ; Zhu, Liu, Mathiak, et al, 2020 ; Zhu, Liu, Ye, et al, 2020 ) characterized by rapid changes at sub‐second time scales (Bassett & Sporns, 2017 ; Haartsen et al, 2020 ; Panwar et al, 2021 ), as well as coincident interactions at a wide range of oscillatory frequencies (Bassett & Sporns, 2017 ; Haartsen et al, 2020 ; Westende et al, 2020 ). Recently, several systematic approaches of multiplex network analysis were proposed to accommodate coexisting networks operating at different oscillatory frequencies (Kivelä et al, 2014 ), and/or to measure the network dynamics seen as time‐varying changes in the network properties (Du et al, 2018 ; Haartsen et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…There is a particular scientific and medical need to better understand the early life correlations of FCNs and neurobehavior. Most cortical FCNs are known to organize during late pregnancy and early postnatal life in an activity‐dependent manner (Oldham & Fornito, 2019 ), making early brain development exquisitely sensitive to a range of early life adversities, such as exposure to drug treatments (Tokariev et al, 2021 ; Tokariev et al, 2022 ; Videman et al, 2016 ), prematurity (Omidvarnia et al, 2015 ; Tokariev et al, 2018 ; Tokariev et al, 2019 ; Uchitel et al, 2022 ; Westende et al, 2020 ; Yrjölä et al, 2021 ; Yrjölä et al, 2022 ), or perinatal adversities (Abbas et al, 2021 ; Rocca et al, 2020 ). In this work, we propose a novel mdFCN analysis pipeline for objectively uncovering latent network structures from the spontaneous cortical activity in newborn infants (Figure 1 shows a graphical overview of the study).…”

Section: Introductionmentioning

confidence: 99%

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Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes

Al‐Sa'd,

Vanhatalo,

Tokariev

2024

Human Brain Mapping

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The higher brain functions arise from coordinated neural activity between distinct brain regions, but the spatial, temporal, and spectral complexity of these functional connectivity networks (FCNs) has challenged the identification of correlates with neurobehavioral phenotypes. Characterizing behavioral correlates of early life FCNs is important to understand the activity dependent emergence of neurodevelopmental performance and for improving health outcomes. Here, we develop an analysis pipeline for identifying multiplex dynamic FCNs that combine spectral and spatiotemporal characteristics of the newborn cortical activity. This data‐driven approach automatically uncovers latent networks that show robust neurobehavioral correlations and consistent effects by in utero drug exposure. Altogether, the proposed pipeline provides a robust end‐to‐end solution for an objective assessment and quantitation of neurobehaviorally meaningful network constellations in the highly dynamic cortical functions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes

Al‐Sa'd,

Vanhatalo,

Tokariev

2024

Human Brain Mapping

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Clinical significance of electroencephalography power spectrum density and functional connection analysis in neonates with hypoxic‐ischemic encephalopathy

Zhang

Dong

et al. 2021

Intl J of Devlp Neuroscience

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Objective To investigate the effects of electroencephalography (EEG) power and functional connectivity analysis on cerebral cortex function in neonates with hypoxic‐ischemic encephalopathy (HIE), and to identify the neurobiological indicators of neural development in HIE. Methods We recruited 20 mild HIE neonates, 15 moderate HIE neonates, and 30 controls. EEG was performed about 72 hr after birth. The power spectral density (PSD) and imaginary part of coherency (ICOH) were analyzed. Gesell developmental schedule (GDS) was used to evaluate the neural development in the mild and moderate HIE groups at 1 year of age, and the correlation between the quantitative EEG results and the state of neural development was analyzed. Results Compared with the controls, FP1, FP2, C3, C4, Fz, Cz, Pz , F3, and P4 of moderate HIE neonates showed that the PSD of theta, alpha and beta bands decreased significantly. In terms of the mean whole‐brain PSD, the moderate HIE group showed a significant decrease in all frequency bands. ICOH of the moderate HIE group showed that functional connectivity was significantly less than that in the controls mainly in the delta band, and the functional connectivity of the delta, theta, alpha1, and alpha2 bands was markedly reduced compared with the mild HIE. GDS test at 1 year old showed that two infants in the moderate HIE group had suspected neurological delay in gross motor and language. The developmental quotient(DQ) of gross motor, language, and personal‐social ability in the moderate HIE group were significantly lower than in the mild HIE group. And there was a significant positive correlation between PSD in each EEG frequency band and GDS score in the moderate HIE group. Conclusion PSD and ICOH can be used to evaluate brain function. PSD can detect the delayed neurological development in infants with moderate HIE, and can be a neurobiomarker of brain development in HIE.

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Early EEG and NIRS measurements in preterm babies: a systematic review

Llamas-Ramos,

Alvarado-Omenat,

Llamas-Ramos

2024

Eur J Pediatr

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Preterm birth represents a public health problem, with prematurity being the leading cause of infant mortality. An objective brain maturation and oxygenation measurement are necessary. The objective has been To test the feasibility of EEG and NIRS combination in the assessment of physiological brain maturation and oxygenation in preterm and non-preterm babies. A systematic review in Pubmed, Web of Science, MEDLINE, Cochrane, Dialnet, CINAHL, Scopus, Lilacs and PEDro databases until December 2022 was developed. 598 registers were found, finally 5 of them reached the inclusion criteria. Two independent reviewers analyzed data and a third reviewer were available for discrepancies. All articles combined EEG and NIRS to assess brain oxygenation and maturation in healthy new-born babies. There is an agreement on the electrode’s placement for EEG at P3 and P4; besides, these regions have been shown to be a development predictive area, as well as the frontoparietal region for the NIRS region and comparison between regions. There is little evidence about the physiological brain electrical activity and oxygenation without stimuli.Conclusion: EEG and NIRS have been useful to assess brain electrical activity and oxygenation in preterm and non-preterm. The combined measurement of these instruments could be essential in neurological disorders diagnosis or their sequels. Unfortunately, the heterogeneity of the results found prevents a consensus on which variables are the most appropriate for the assessment of this population. What is Known • Brain assessment could help clinicians to prevent sequels. • There is an agreement for EEG electrodes placement at P3 and P4 region. What is New • EEG and NIRS assessment are effective measurements for preterm babies. • P3 and P4 regions have shown to be a predictive area of development, as well as the frontoparietal region for NIRS assessment.

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The degree of prematurity affects functional brain activity in preterm born children at school-age: An EEG study

Cited by 5 publications

References 37 publications

Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes

Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes

Clinical significance of electroencephalography power spectrum density and functional connection analysis in neonates with hypoxic‐ischemic encephalopathy

Early EEG and NIRS measurements in preterm babies: a systematic review

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