Cross-Hemispheric Functional Connectivity in the Human Fetal Brain

Thomason, Moriah E.; Dassanayake, Maya; Shen, Stephen; Katkuri, Yashwanth; Alexis, Mitchell; Anderson, A.; Yeo, Lami; Mody, Swati; Hernández‐Andrade, Edgar; Hassan, Sonia S.; Studholme, Colin; Jeong, Jeong‐Won; Romero, Roberto

doi:10.1126/scitranslmed.3004978

Cited by 190 publications

(182 citation statements)

References 76 publications

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“…Some studies employ adult templates (Alcauter et al, 2015a, Gao et al, 2011, 2009, Salzwedel et al, 2016 whereas others adopt group-level clustering to design a population-specific template based on similarity between voxels Thomason et al, 2014Thomason et al, , 2013 or make use of available neonatal atlases (e.g. (Oishi et al, 2012)).…”

Section: Methodological Considerationsmentioning

confidence: 99%

“…Interhemispheric connectivity has been investigated in the fetal brain from as early as 24 PCW and has been noted to increase with advancing gestational age, following a medial to lateral trajectory (Thomason et al, 2013). Similarly, long-range thalamocortical and intrahemispheric connectivity are also strengthened with increasing fetal age (24-39 PCW) (Thomason et al, 2015) (Figure 1).…”

Section: Functional Network Developmentmentioning

confidence: 98%

“…The first paper on the presence of functional brain networks in the neonatal brain was published in 2007 (Fransson et al, 2007) and a number of research groups have now committed to the challenging task of functional imaging in utero (Ferrazzi et al, 2014;Schöpf et al, 2012;Seshamani et al, 2014;Thomason et al, 2013). Collectively, these efforts have led to exciting insights into functional brain network architecture in the earliest phases following its emergence.…”

Section: Functional Network Developmentmentioning

confidence: 99%

“…Similar to the adult connectome, the neonatal brain has repeatedly been found to display short characteristic path length, which is computed as the average number of edges that need to be Schematic overview based on findings by (Alcauter et al, 2014;Bystron et al, 2008;Gao et al, 2011;Innocenti and Price, 2005;Kostovic et al, 2014;Kostovic and Rakic, 1980;Kostovic and Vasung, 2009;Shankle et al, 1999;Stiles and Jernigan, 2010;Thomason et al, 2013Thomason et al, , 2015Vanhatalo and Kaila, 2006;Vasung et al, 2010) (Huang et al, 2009;Kostovic and Jovanov-Milosevic, 2006;Takahashi et al, 2012;Vasung et al, 2010). (Doria et al, 2010a;Gao et al, 2014a;Smyser et al, 2010;Thomason et al, 2015).…”

Section: Future Perspectives and Conclusionmentioning

confidence: 99%

“…Historically, much of what we know about the intricate processes of early brain development came from post mortem studies in human fetuses, neonates, and non-human primates (Flechsig, 1920;Goldman-Rakic, 1987;Innocenti and Price, 2005;Kostovic, 2002;LaMantia and Rakic, 1990). With the increasing availability of high-quality neuroimaging techniques, including anatomical sequences customized to the developing neonatal and fetal brain, diffusion weighted imaging (DWI) and functional MRI, as well as electrophysiology recordings including electroencephalography (EEG), it has now become feasible to study early human brain development in unprecedented detail in vivo Counsell et al, 2007;Fransson et al, 2007;Huppi et al, 1998;Maas et al, 2004;Omidvarnia et al, 2014;Partridge et al, 2004;Smyser et al, 2001; Thomason et al, 2013;Toulmin et al, 2015;van den Heuvel et al, 2014). These advances have led to exciting new insights into both healthy and atypical macroscale brain network development and have paved the way to bridge the gap between the brain's neurobiological architecture and its behavioral repertoire.…”

Section: Introductionmentioning

confidence: 99%

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The emergence of functional architecture during early brain development

2017

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Early human brain development constitutes a sequence of intricate processes resulting in the ontogeny of functionally operative neural circuits. Developmental trajectories of early brain network formation are genetically programmed and can be modified by epigenetic and environmental influences. Such alterations may exert profound effects on neurodevelopment, potentially persisting throughout the lifespan. This review focuses on the critical period of fetal and early postnatal brain development. Here we collate findings from neuroimaging studies, with a particular focus on functional MRI research that interrogated early brain network development in both health and high-risk or disease states. First, we will provide an overview of the developmental processes that take place from the embryonic period through early infancy in order to contextualize brain network formation. Second, functional brain network development in the typically developing brain will be discussed. Third, we will touch on prenatal and perinatal risk factors that may interfere with the trajectories of functional brain wiring, including prenatal substance exposure, maternal mental illness and preterm

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Section: Methodological Considerationsmentioning

confidence: 99%

Section: Functional Network Developmentmentioning

confidence: 98%

Section: Functional Network Developmentmentioning

confidence: 99%

Section: Future Perspectives and Conclusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The emergence of functional architecture during early brain development

2017

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Association of Prenatal Maternal Anxiety With Fetal Regional Brain Connectivity

Asis-Cruz

et al. 2020

JAMA Netw Open

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IMPORTANCEMaternal psychological distress during pregnancy is associated with adverse obstetric outcomes and neuropsychiatric deficits in children. Currently unavailable in vivo interrogation of fetal brain function could provide critical insights into the onset and timing of altered neurodevelopmental trajectories. OBJECTIVE To investigate the association between prenatal maternal stress, anxiety, and depression and in vivo fetal brain resting state functional connectivity. DESIGN, SETTING, AND PARTICIPANTS This cohort study included pregnant women scanned between January 2016 and April 2019. A total of 50 pregnant women with healthy pregnancies were prospectively recruited from low-risk obstetric clinics in the Washington DC area and were scanned at Children's National in Washington DC. EXPOSURES Maternal stress, anxiety, and depression. MAIN OUTCOMES AND MEASURESThe association of prenatal maternal stress, anxiety, and depression with whole-brain connectivity was analyzed using multivariate distance matrix regression. Prenatal maternal stress, anxiety, and depression were assessed using the Perceived Stress Scale, Spielberger State Anxiety Inventory and Spielberger Trait Anxiety Inventory, and the Edinburgh Postnatal Depression Scale, respectively. Whole-brain connectivity was measured from 100 functionally defined regions of interest. RESULTSThis study analyzed 59 resting-state functional connectivity magnetic resonance image data sets from the fetuses (mean [SD] gestational age, 33.52 [4 weeks]) of 50 healthy pregnant women (mean [SD] age, 33.77 [5.51]). Mean (SD) scores for the questionnaires were as follows:

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