Electroencephalography in premature and full-term infants. Developmental features and glossary

André, M; Lamblin, Marie‐Dominique; Am, D'Allest; Curzi‐Dascalova, Lilia; Moussalli-Salefranque, F.; Tich, Sylvie Nguyen The; Vecchierini-Blineau, M.F.; Wallois, Fabrice; Walls-Esquivel, E.; Plouin, Perrine

doi:10.1016/j.neucli.2010.02.002

Cited by 302 publications

(391 citation statements)

References 63 publications

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“…Notably, the common perception has not been based on knowledge, but has emerged from the way clinical routines were set by the early pioneers of neonatal EEG (reviewed in Andre et al, 2010). It is intriguing in this context, that the idea of rich spatial texture of this kind has been implicitly embedded in the conventional classification of the neonatal EEG.…”

Section: Discussionmentioning

confidence: 99%

“…It is well known that neonates may have focal sharp transients or epileptic discharges that only appear in one electrode (see e.g. Andre et al, 2010;Castro Conde et al, 2004;Okumura et al, 2003). If the spatial texture of neonatal EEG was smoothed (i.e., smeared) by volume conduction, such relatively high amplitude transients would be seen in many more electrodes.…”

Section: Discussionmentioning

confidence: 99%

“…The first part uses a custom-fabricated linear array of electrodes (see also Freeman and Quian Quiroga, in press;Freeman et al, 2003) to obtain a theoretical estimate of the spatial EEG patterning in selected scalp locations. The second part uses a commercial high density (hdEEG, 64 channels) EEG cap in order to estimate the spatial extent of focal fluctuations of amplitudes, and to estimate the "practical" spatial EEG extent ("patterning") from oscillatory events in the neonatal EEG (Andre et al, 2010;Kaila, 2006 and2010;Khazipov and Luhmann, 2006). These events appear as short bursts of higher frequency activity, often nested (Vanhatalo et al, 2005) within slow waveforms and have multiple names related to their visual appearance (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…We visually identified focal oscillations from epochs within EEG background classified as trace alternant, the dominant pattern during quiet sleep in neonates (Andre et al, 2010;Vanhatalo et al, 2005). This state was selected to provide better signal to noise for the subsequent analysis that targeted the bouts of rapid oscillations typically associated with SAT events (see also Tokariev et al, 2012;Vanhatalo et al, 2005).…”

Section: Hdeeg Experimentsmentioning

confidence: 99%

“…Functional assessment of neonatal brain activity is currently severely hampered by the poor spatial resolution provided by conventional neonatal EEG recording (Andre et al, 2010), which hardly suffices to distinguish brain lobes from each other. In order to meet the need for better spatial parcellation, several methods have been recently devised to enable recording of high density EEG (hdEEG) from the neonatal head in the laboratory environment (Fifer et al, 2006;Roche-Labarbe et al, 2008;Vanhatalo et al, 2008), and even in the neonatal intensive care unit (Stjerna et al, 2012;Vanhatalo et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes

et al. 2013

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TitleSpatial patterning of the neonatal EEG suggests a need for a high number of electrodes There is an increasing demand for source analysis of neonatal EEG, but currently there is inadequate knowledge about i) the spatial patterning of neonatal scalp EEG and hence ii) the number of electrodes needed to capture neonatal EEG in full spatial detail. This study addresses these issues by using a very high density (2.5 mm interelectrode spacing) linear electrode array to assess the spatial power spectrum, by using a high density (64 electrodes) EEG cap to assess the spatial extent of the common oscillatory bouts in the neonatal EEG and by using a neonatal size spherical head model to assess the effects of source depth and skull conductivities on the spatial frequency spectrum. The linear array recordings show that the spatial power spectrum decays rapidly until about 0.5-0.8 cycles per centimeter. The dense array EEG recordings show that the amplitude of oscillatory events decays within 4-6 cm to the level of global background activity, and that the higher frequencies (12)(13)(14)(15)(16)(17)(18)(19)(20) show the most rapid spatial decline in amplitude. Simulation with spherical head model showed that realistic variation in skull conductivity and source depths can both introduce orders of magnitude difference in the spatial frequency of the scalp EEG. Calculation of spatial Nyquist frequencies from the spatial power spectra suggests that an interelectrode distance of about 6-10 mm would suffice to capture the full spatial texture of the raw EEG signal at the neonatal scalp without spatial aliasing or under-sampling. The spatial decay of oscillatory events suggests that a full representation of their spatial characteristics requires an interelectrode distance of 10-20 mm. The findings show that the conventional way of recording neonatal EEG with about 10 electrodes ignores most spatial EEG content, that increasing the electrode density is necessary to improve neonatal EEG source localization and information extraction, and that prospective source models will need to carefully consider the neonatally relevant ranges of tissue conductivities and source depths when source localizing cortical activity in neonates.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Hdeeg Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes

et al. 2013

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Social Brain Functional Maturation in Newborn Infants With and Without a Family History of Autism Spectrum Disorder

et al. 2019

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Key Points Question Are changes in the maturation of the social brain in infants associated with vulnerability to neurodevelopmental conditions such as autism spectrum disorder? Findings In this cohort study of 36 neonates with and without a family history of autism spectrum disorder, newborns with a family history of autism spectrum disorder had significantly higher neural activity in the right fusiform and left parietal cortex. In addition, the pattern of age-related changes in spontaneous activity in the cingulate and insula was disrupted in infants with a family history of autism spectrum disorder. Meaning Atypical development of functional activity patterns in key regions responsible for social processing may be a vulnerability mechanism for autism.

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Predicting the Neurodevelopmental Outcome in Extremely Preterm Newborns Using a Multimodal Prognostic Model Including Brain Function Information

et al. 2023

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ImportanceEarly assessment of the prognosis of preterm newborns is crucial for accurately informing parents and making treatment decisions. The currently available prognostic models rarely incorporate functional brain information from conventional electroencephalography (cEEG).ObjectiveTo examine the performance of a multimodal model combining (1) brain function information with (2) brain structure information (cranial ultrasonography), and (3) perinatal and (4) postnatal risk factors for the prediction of death or neurodevelopmental impairment (NDI) in extremely preterm infants.Design, Setting, and ParticipantsPreterm newborns (23-28 weeks’ gestational age) admitted to the neonatal intensive care unit at Amiens-Picardie University Hospital were retrospectively included (January 1, 2013, to January 1, 2018). Risk factors from the 4 categories were collected during the first 2 weeks post delivery. Neurodevelopmental impairment was assessed at age 2 years with the Denver Developmental Screening Test II. No or moderate NDI was considered a favorable outcome. Death or severe NDI was considered an adverse outcome. Data analysis was performed from August 26, 2021, to March 31, 2022.Main Outcomes and MeasuresAfter the selection of variables significantly associated with outcome, 4 unimodal prognostic models (considering each category of variable independently) and 1 multimodal model (considering all variables simultaneously) were developed. After a multivariate analysis for models built with several variables, decision-tree algorithms were run on each model. The areas under the curve for decision-tree classifications of adverse vs favorable outcomes were determined for each model, compared using bootstrap tests, and corrected for type I errors.ResultsA total of 109 newborns (58 [53.2% male]) born at a mean (SD) gestational age of 26.3 (1.1) weeks were included. Among them, 52 (47.7%) had a favorable outcome at age 2 years. The multimodal model area under the curve (91.7%; 95% CI, 86.4%-97.0%) was significantly higher than those of the unimodal models (P &lt; .003): perinatal model (80.6%; 95% CI, 72.5%-88.7%), postnatal model (81.0%; 95% CI, 72.6%-89.4%), brain structure model (cranial ultrasonography) (76.6%; 95% CI, 67.8%-85.3%), and brain function model (cEEG) (78.8%; 95% CI, 69.9%-87.7%).Conclusions and RelevanceIn this prognostic study of preterm newborns, the inclusion of brain information in a multimodal model was associated with significant improvement in the outcome prediction, which may have resulted from the complementarity of the risk factors and reflected the complexity of the mechanisms that interfered with brain maturation and led to death or NDI.

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Electroencephalography in premature and full-term infants. Developmental features and glossary

Cited by 302 publications

References 63 publications

Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes

Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes

Social Brain Functional Maturation in Newborn Infants With and Without a Family History of Autism Spectrum Disorder

Predicting the Neurodevelopmental Outcome in Extremely Preterm Newborns Using a Multimodal Prognostic Model Including Brain Function Information

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