Evidence map›Paper›PMID 39020216›Full record

ArticleBrain structure & function2024

No sex difference in maturation of brain morphology during the perinatal period.

Yucen Sheng, Ying Wang, Xiaomin Wang, Zhe Zhang, Dalin Zhu, Weihao Zheng

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Article in Brain structure & function, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yucen Sheng *School of Foreign Languages, Lanzhou Jiaotong University, Lanzhou, People's Republic of China.
Ying Wang *Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, People's Republic of China.
Xiaomin WangGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, People's Republic of China.
Zhe ZhangInstitute of Brain Science, Hangzhou Normal University, Hangzhou, People's Republic of China.
Dalin ZhuDepartment of Medical Imaging Center, Gansu Provincial Maternity and Child-Care Hospital Lanzhou, Lanzhou, People's Republic of China. zdlldz@163.com.
Weihao ZhengGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, People's Republic of China. zhengweihao@lzu.edu.cn.

Funding

Ministry of Science and Technology of the People's Republic of China 2021ZD0202000National Natural Science Foundation of China 62202212
6 · The paper itself

Abstract

Accumulating evidence have documented sex differences in brain anatomy from early childhood to late adulthood. However, whether sex difference of brain structure emerges in the neonatal brain and how sex modulates the development of cortical morphology during the perinatal stage remains unclear. Here, we utilized T2-weighted MRI from the Developing Human Connectome Project (dHCP) database, consisting of 41 male and 40 female neonates born between 35 and 43 postmenstrual weeks (PMW). Neonates of each sex were arranged in a continuous ascending order of age to capture the progressive changes in cortical thickness and curvature throughout the developmental continuum. The maturational covariance network (MCN) was defined as the coupled developmental fluctuations of morphology measures between cortical regions. We constructed MCNs based on the two features, respectively, to illustrate their developmental interdependencies, and then compared the network topology between sexes. Our results showed that cortical structural development exhibited a localized pattern in both males and females, with no significant sex differences in the developmental trajectory of cortical morphology, overall organization, nodal importance, and modular structure of the MCN. Furthermore, by merging male and female neonates into a unified cohort, we identified evident dependencies influences in structural development between different brain modules using the Granger causality analysis (GCA), emanating from high-order regions toward primary cortices. Our findings demonstrate that the maturational pattern of cortical morphology may not differ between sexes during the perinatal period, and provide evidence for the developmental causality among cortical structures in perinatal brains.

Indexed as

BrainConnectomeMagnetic Resonance ImagingSex CharacteristicsFemaleHumansInfant, NewbornMaleBrain morphologyMaturational covariance network (MCN)Perinatal periodSex differencesT2-weighted MRI

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.