Human Brain Mapping | 2019

Sex differences in brain connectivity and male vulnerability in very preterm children

 
 
 
 
 
 
 
 

Abstract


Evidence indicates better cognitive and behavioral outcomes for females born very preterm (≤32\u2009weeks gestation) compared to males, but the neurophysiology underlying this apparent resiliency of the female brain remains poorly understood. Here we test the hypothesis that very preterm males express more pronounced connectivity alterations as a reflection of higher male vulnerability. Resting state MEG recordings, neonatal and psychometric data were collected from 100 children at age 8\u2009years: very preterm boys (n = 27), very preterm girls (n = 34), full‐term boys (n = 15) and full‐term girls (n = 24). Neuromagnetic source dynamics were reconstructed from 76 cortical brain regions. Functional connectivity was estimated using inter‐regional phase‐synchronization. We performed a series of multivariate analyses to test for differences across groups as well as to explore relationships between deviations in functional connectivity and psychometric scores and neonatal factors for very preterm children. Very preterm boys displayed significantly higher (p\u2009<\u2009.001) absolute deviation from average connectivity of same‐sex full‐term group, compared to very preterm girls versus full‐term girls. In the connectivity comparison between very preterm and full‐term groups separately for boys and girls, significant group differences (p\u2009<\u2009.05) were observed for boys, but not girls. Sex differences in connectivity (p\u2009<\u2009.01) were observed in very preterm children but not in full‐term groups. Our findings indicate that very preterm boys have greater alterations in resting neurophysiological network communication than girls. Such uneven brain communication disruption in very preterm boys and girls suggests that stronger connectivity alterations might contribute to male vulnerability in long‐term behavioral and cognitive outcome.

Volume 41
Pages 388 - 400
DOI 10.1002/hbm.24809
Language English
Journal Human Brain Mapping

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