3D Statistical Parametric Mapping of quiet sleep EEG in the first year of life

Bosch-Bayard, Jorge; Valdés‐Sosa, Pedro A.; Fernández, Thalı́a; Otero, Gloria; Rivero, Bernardo Pliego; Ricardo-Garcell, Josefina; González-Frankenberger, Berta; Galán-García, Lídice; Fernández-Bouzas, Antonio; Aubert-Vázquez, Eduardo; Lage‐Castellanos, Agustín; Rodríguez-Valdés, René; Harmony, Thalı́a

doi:10.1016/j.neuroimage.2011.11.001

Cited by 10 publications

(8 citation statements)

References 55 publications

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“…Bosch‐Bayard et al . () found a general postero–anterior distribution of EEG power during QS of 1–10‐month‐old infants. However, unusual band limits (i.e.…”

Section: Discussionmentioning

confidence: 91%

Mapping changes in cortical activity during sleep in the first 4 years of life

Novelli

D’Atri

Marzano

et al. 2016

Journal of Sleep Research

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SUMMARYA coherent body of evidence supports the notion that sleep is a local and use-dependent process. Significant changes in brain morphology and function occur in the first years of life, revealing a postero-anterior trajectory of cortical maturation. On this basis, a recent study demonstrated that regional cortical maturation between early childhood and late adolescence is reflected in regional changes of sleep slow wave activity (SWA) during non-rapid eye movement (NREM) sleep. Our hypothesis is that changes of electroencephalogram (EEG) rhythms during sleep from birth to childhood are also mirrored by parallel regional changes in the EEG rhythms of sleep according to the assumption of a postero-anterior gradient in cortical maturation. We studied all-night EEG of 39 healthy, full-term, infants and children aged between 0 and 48 months, evaluating regional differences in NREM sleep. We confirmed the strictly local nature of sleep with frequency-specific regional differences. Specifically, we found a general shift of maxima of the upper alpha activity from occipital to prefrontal regions, expressed mainly by the~11 Hz frequency. This shift corresponds to a postero-anterior trajectory of the socalled 'slow spindles'. The theta and alpha EEG activity of the frontal cortex exhibits a clear, positive, correlation with age. We conclude that specific local differences during NREM sleep, parallel cortical maturation also in the first 4 years of life.

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“…Bosch‐Bayard et al . () found a general postero–anterior distribution of EEG power during QS of 1–10‐month‐old infants. However, unusual band limits (i.e.…”

Section: Discussionmentioning

confidence: 91%

Mapping changes in cortical activity during sleep in the first 4 years of life

Novelli

D’Atri

Marzano

et al. 2016

Journal of Sleep Research

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“…This permutation procedure allowed us to report only those t -tests that were significant at the global p < 0.05 level (corrected for multiple comparisons). In an earlier paper ( Bosch-Bayard et al, 2012 ), we analyzed the power of qEEGt procedures regarding the size sample. Power calculations from that report (shown in Figure 2 of the paper) demonstrated that the smallest effect detectable was for sample sizes greater than n = 50.…”

Section: Methodsmentioning

confidence: 99%

“…The surface EEG is the reflection on the scalp, via volume conduction, of deep sources which are located in actual brain structures. Bosch-Bayard et al (2001) qEEGt has been validated in population based multimodal neuroimaging studies ( Hernandez-Gonzalez et al, 2011 ) and has been shown to be more accurate than qEEG in detecting brain dysfunction in newborns during quiet sleep, as determined by the area under the receiving operating curves (ROC) ( Bosch-Bayard et al, 2012 ). There are currently no published studies that have fully examined either qEEG or qEEGt in malnourished children.…”

Section: Introductionmentioning

confidence: 99%

Quantitative EEG Tomography of Early Childhood Malnutrition

et al. 2018

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The goal of this study is to identify the quantitative electroencephalographic (qEEG) signature of early childhood malnutrition [protein-energy malnutrition (PEM)]. To this end, archival digital EEG recordings of 108 participants in the Barbados Nutrition Study (BNS) were recovered and cleaned of artifacts (46 children who suffered an episode of PEM limited to the first year of life) and 62 healthy controls). The participants of the still ongoing BNS were initially enrolled in 1973, and EEGs for both groups were recorded in 1977–1978 (at 5–11 years). Scalp and source EEG Z-spectra (to correct for age effects) were obtained by comparison with the normative Cuban Human Brain Mapping database. Differences between both groups in the z spectra (for all electrode locations and frequency bins) were assessed by t-tests with thresholds corrected for multiple comparisons by permutation tests. Four clusters of differences were found: (a) increased theta activity (3.91–5.86 Hz) in electrodes T4, O2, Pz and in the sources of the supplementary motor area (SMA); b) decreased alpha1 (8.59–8.98 Hz) in Fronto-central electrodes and sources of widespread bilateral prefrontal are; (c) increased alpha2 (11.33–12.50 Hz) in Temporo-parietal electrodes as well as in sources in Central-parietal areas of the right hemisphere; and (d) increased beta (13.67–18.36 Hz), in T4, T5 and P4 electrodes and decreased in the sources of bilateral occipital-temporal areas. Multivariate Item Response Theory of EEGs scored visually by experts revealed a neurophysiological latent variable which indicated excessive paroxysmal and focal abnormality activity in the PEM group. A robust biomarker construction procedure based on elastic-net regressions and 1000-cross-validations was used to: (i) select stable variables and (ii) calculate the area under ROC curves (AUC). Thus, qEEG differentiate between the two nutrition groups (PEM vs Control) performing as well as visual inspection of the EEG scored by experts (AUC = 0.83). Since PEM is a global public health problem with lifelong neurodevelopmental consequences, our finding of consistent differences between PEM and controls, both in qualitative and quantitative EEG analysis, suggest that this technology may be a source of scalable and affordable biomarkers for assessing the long-term brain impact of early PEM.

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“…Moreover, the number of infants in these studies has often been 21 or fewer (Chu et al, 2014;de la Cruz et al, 2007;Fattinger et al, 2014;Jenni et al, 2004;Mandelbaum et al, 2000;Novelli et al, 2016). In addition, only short periods of sleep ranging from some minutes to sixty minutes have commonly been analyzed (Bosch-Bayard et al, 2012;Chu et al, 2014;de la Cruz et al, 2007;González et al, 2011;Korotchikova et al, 2009;Ktonas et al, 1995;Mandelbaum et al, 2000;Pereda et al, 2006;Sankupellay et al, 2011), and the evaluated periods have often represented only daytime sleep (Chu et al, 2014;Korotchikova et al, 2009;Mandelbaum et al, 2000;Otero et al, 2011;Pereda et al, 2006). To the best of our knowledge, the only multichannel work that has used whole night recordings in the infant age group is a study by Novelli and co-workers (2016).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, SWA has been shown to increase locally over maturing brain regions (Kurth et al, 2010), predicting the maturation of skills (Kurth et al, 2012). Accordingly, the local deep sleep and SWA properties of children have usually been studied in the context of cortical maturation with an emphasis on posterioranterior changes with age (Bosch-Bayard et al, 2012;Buchmann et al, 2011;Fattinger et al, 2014;Kurth et al, 2012). Even if there is a growing body of evidence that at least some sensory input is processed cortically in the frontal areas in a newborn (Sakatani et al, 1999;Sanders et al, 2002;Schriever et al, 2014;Taga et al, 2003;Zaramella et al, 2001), it has been presented that the frontal maximum of SWA does not evolve until adolescence (Kurth et al, 2010).…”

Section: Introductionmentioning

confidence: 99%