2021
DOI: 10.1093/cercor/bhab039
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Phenotyping the Preterm Brain: Characterizing Individual Deviations From Normative Volumetric Development in Two Large Infant Cohorts

Abstract: The diverse cerebral consequences of preterm birth create significant challenges for understanding pathogenesis or predicting later outcome. Instead of focusing on describing effects common to the group, comparing individual infants against robust normative data offers a powerful alternative to study brain maturation. Here we used Gaussian process regression to create normative curves characterizing brain volumetric development in 274 term-born infants, modeling for age at scan and sex. We then compared 89 pre… Show more

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Cited by 23 publications
(20 citation statements)
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“…Very few cortical parcels had more than 8% of the preterm group with extreme deviations in a given metric. These findings are consistent with our previous work describing heterogeneous volumetric and whole-brain microstructure development at TEA following preterm birth ( Dimitrova et al., 2020 , 2021 ). This highlights that group level understanding of the preterm brain disguises a large degree of individual variability, that may be important to single infants.…”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…Very few cortical parcels had more than 8% of the preterm group with extreme deviations in a given metric. These findings are consistent with our previous work describing heterogeneous volumetric and whole-brain microstructure development at TEA following preterm birth ( Dimitrova et al., 2020 , 2021 ). This highlights that group level understanding of the preterm brain disguises a large degree of individual variability, that may be important to single infants.…”
Section: Discussionsupporting
confidence: 93%
“…The timing of the abrupt exposure to extrauterine environment might explain why cortical thickness appears more affected than SA but also why we did not observe group differences in SA between term-born and preterm infants. Given that SA is a better determinant of brain/cortical volume and size compared to cortical thickness ( Pakkenberg and Gundersen 1997 ; Im et al., 2008 ), the lack of atypical surface expansion here is consistent with a previous study of this cohort, showing that the development of total tissue /cortical volume in this preterm sample was largely normative ( Dimitrova et al., 2021 ).…”
Section: Discussionsupporting
confidence: 89%
“…Very few cortical parcels had more than 8% of the preterm group with extreme deviations in a given metric. These findings are consistent with our previous work describing heterogeneous volumetric and wholebrain microstructure development at TEA following preterm birth (Dimitrova et al 2020(Dimitrova et al , 2021. This highlights that group level understanding of the preterm brain disguises a large degree of individual variability, that may be important to single infants.…”
Section: Group-average Atypicality and Individual Variability In The Preterm Cortex At Term-equivalent Agesupporting
confidence: 92%
“…Note that due to the inclusion of a range of gestational ages in the weekly templates (Schuh et al, 2018), more term-born infants are used to construct templates at older scan ages. It is therefore expected that our sample of preterm-born infants would show greater negative deviations from the respective templates as term-equivalent age approaches, given that preterm infants are known to show widespread reductions in regional brain volume (Alexander et al, 2019; Dimitrova et al, 2021; Peterson et al, 2003). This becomes particularly relevant when interpreting the second finding.…”
Section: Discussionmentioning
confidence: 99%