Non-invasive detection and identification of brain activity patterns in the developing fetus

Eswaran, Hari; Haddad, Naim; Shihabuddin, Bashir; Preißl, Hubert; Siegel, Eric R.; Murphy, P.; Lowery, Curtis L.

doi:10.1016/j.clinph.2007.05.072

Cited by 36 publications

(44 citation statements)

References 16 publications

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“…In a recent paper, we demonstrated reproducible features in spontaneous fetal brain activity as recorded by MEG. The recordings showed more discontinuous patterns at early gestational ages (GA), consistent with the maturation seen in EEGs of premature infants (Eswaran et al, 2007). Sharp waves and delta brushes were also recorded and correctly mapped to the position of the fetal head within the gravid abdomen.…”

Section: Introductionsupporting

confidence: 66%

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Correlation between fetal brain activity patterns and behavioral states: An exploratory fetal magnetoencephalography study

Haddad

Govindan

Vairavan

et al. 2011

Experimental Neurology

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The fetal brain remains inaccessible to neurophysiological studies. Magnetoencephalography (MEG) is being assessed to fill this gap. We performed 40 fetal MEG (fMEG) recordings with gestational ages (GA) ranging from 30 to 37 weeks. The data from each recording were divided into 15 second epochs which in turn were classified as continuous (CO), discontinuous (DC), or artifact. The fetal behavioral state, quiet or active sleep, was determined using previously defined criteria based on fetal movements and heart rate variability. We studied the correlation between the fetal state, the GA and the percentage of CO and DC epochs. We also analyzed the Spectral Edge Frequency (SEF) and studied its relation with state and GA. We found that the odds of a DC epoch decreased by 6% per week as the GA increased (P=0.0036). This decrease was mainly generated by changes during quiet sleep, which showed 52% DC epochs before 35 weeks GA versus 38% after 35 weeks (P=0.0006). Active sleep did not show a significant change in DC epochs with GA. When both states were compared for MEG patterns within each GA group (before and after 35 weeks), the early group was found to have more DC epochs in quiet sleep (54%) compared to active sleep (42%) (P=0.036). No significant difference in DC epochs between the two states was noted in the late GA group. Analysis of SEF showed a significant difference (P=0.0014) before and after 35 weeks GA, with higher SEF noted at late GA. However, when both quiet and active sleep states were compared within each GA group, the SEF did not show a significant difference. We conclude that fMEG shows reproducible variations in gross features and frequency content, depending on GA and behavioral state. Fetal MEG is a promising tool to investigate fetal brain physiology and maturation.

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Section: Introductionsupporting

confidence: 66%

“…Recordings were performed at various GAs using the SARA fMEG system (Eswaran et al, 2007). This system consists of 151 primary superconducting sensors which detect magnetic fields generated in the body by various bioelectric sources such as the maternal and fetal heart, fetal brain, and uterine muscles.…”

Section: Methodsmentioning

confidence: 99%

Correlation between fetal brain activity patterns and behavioral states: An exploratory fetal magnetoencephalography study

Haddad

Govindan

Vairavan

et al. 2011

Experimental Neurology

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“…These responses are especially important in the fetal MEG, since the detection of an onset response reveals that the fetal cortical processing is functional and the latencies of the onset responses have in some studies shown relation to maturation (Lowery et al, 2006;Wakai et al, 1996;Lengle et al, 2001;Eswaran et al, 2007). In infants and children, the onset responses show their typical maturational patterns (Kushnerenko et al, 2002a;Takeshita et al, 2002;Rojas et al, 1998).…”

Section: Event-related Responses Reflecting the Auditory Skillsmentioning

confidence: 96%

Using magnetoencephalography in assessing auditory skills in infants and children

Huotilainen

Шестакова

Hukki

2008

International Journal of Psychophysiology

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“…Bars indicate the peak developmental period in which each feature is acquired; dotted lines indicate that feature acquisition occurs at these ages, though to a relatively minor degree; arrows indicate that the feature is present throughout life. Relevant references pertaining to each process or milestone are provided in the rightmost column: a, (Gould et al, 1990; Malik et al, 2013); b, (Bystron et al, 2006; Meyer, 2007; Workman et al, 2013); c, (Choi and Lapham, 1978; deAzevedo et al, 2003; Kang et al, 2011); d, (Kang et al, 2011; Yeung et al, 2014); e, (Huttenlocher, 1979; Kwan et al, 2012; Molliver et al, 1973; Petanjek et al, 2011); f, (Miller et al, 2012; Yakovlev and Lecours, 1967); g, (Huttenlocher, 1979; Petanjek et al, 2011); h, (Kostovic and Rakic, 1990), i, (Kwan et al, 2012; Kwan et al, 2008); j, (Aldama, 1930; Brodmann, 1909); k, (Humphrey and Hooker, 1959); l, (Eswaran et al, 2007); m, (Bellieni and Buonocore, 2012); n, (Polishuk et al, 1975); o, (Clowry, 2007; de Vries et al, 1985; Ianniruberto and Tajani, 1981; Johnson and Blasco, 1997; Van Dongen and Goudie, 1980); p, (W. H. O. Multicentre Growth Reference Study Group, 2006); q, (McManus et al, 1988; Ramsay, 1980); r, (Dosman et al, 2012; Gerber et al, 2010; Johnson and Newport, 1989); s, (Johnson and Newport, 1989); t, (Zahn-Waxler et al, 1992); u, (Meltzoff and Moore, 1977); v, (Amsterdam, 1972; Butterworth, 1990); w, (Harris, 2000); x, (Dumontheil, 2014); y, (Rajan et al, 2014); z, (Catts et al, 2013; Heaton et al, 1993).…”

Section: Figurementioning

confidence: 99%

The Cellular and Molecular Landscapes of the Developing Human Central Nervous System

Silbereis

Pochareddy

Zhu

et al. 2016

Neuron

635

518

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Summary The human central nervous system follows a pattern of development typical of all mammals, but certain neurodevelopmental features are highly derived. Building the human CNS requires the precise orchestration and coordination of myriad molecular and cellular processes across a staggering array of cell types and over a long period of time. Dysregulation of these processes affects the structure and function of the CNS and can lead to neurological or psychiatric disorders. Recent technological advances and increased focus on human neurodevelopment have enabled a more comprehensive characterization of the human CNS and its development in both health and disease. The aim of this review is to highlight recent advancements in our understanding of the molecular and cellular landscapes of the developing human CNS, with focus on the cerebral neocortex, and the insights these findings provide into human neural evolution, function, and dysfunction.

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Non-invasive detection and identification of brain activity patterns in the developing fetus

Cited by 36 publications

References 16 publications

Correlation between fetal brain activity patterns and behavioral states: An exploratory fetal magnetoencephalography study

Correlation between fetal brain activity patterns and behavioral states: An exploratory fetal magnetoencephalography study

Using magnetoencephalography in assessing auditory skills in infants and children

The Cellular and Molecular Landscapes of the Developing Human Central Nervous System

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