Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study DOI Creative Commons
Zhiyong Zhao,

Yifan Shuai,

Yihan Wu

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120669 - 120669

Published: June 7, 2024

The relationship between brain entropy (BEN) and early development has been established through animal studies. However, it remains unclear whether the BEN can be used to identify age-dependent functional changes in human neonatal brains genetic underpinning of new neuroimaging marker elucidated. In this study, we analyzed resting-state fMRI data from Developing Human Connectome Project, including 280 infants who were scanned at 37.5-43.5 weeks postmenstrual age. maps calculated for each subject, a voxel-wise analysis was conducted using general linear model examine effects age, sex, preterm birth on BEN. Additionally, evaluated correlation regional gene expression levels. Our results demonstrated that sensorimotor-auditory association cortices, along 'S-A' axis, significantly positively correlated with postnatal age (PNA), negatively gestational (GA), respectively. Meanwhile, right rolandic operculum both GA PNA. Preterm-born exhibited increased values widespread cortical areas, particularly visual-motor cortex, when compared term-born infants. Moreover, identified five BEN-related genes (DNAJC12, FIG4, STX12, CETN2, IRF2BP2), which involved protein folding, synaptic vesicle transportation cell division. These findings suggest fMRI-based serve as an indicator neonates, may influenced by specific genes.

Language: Английский

7 Tesla multimodal MRI dataset of ex-vivo human brain DOI Creative Commons
Qinfeng Zhu, Sihui Li, Zuozhen Cao

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: May 22, 2025

Ex-vivo MRI offers invaluable insights into the complexity of human brain, enabling high-resolution anatomical delineation and integration with histopathology, thus, contributes to both basic clinical studies on normal pathological brains. However, ex-vivo is challenging in sample preparation, acquisition, data analysis, existing datasets are often single image modality lack ethnic diversity. In our study, we aimed address these limitations by constructing a comprehensive multimodal database acquired from six Chinese This included structural MRI, high-angular resolution diffusion quantitative susceptibility mapping, T1 T2 maps, which enabled multifaceted depiction brain microstructure connectivity. Furthermore, generated population-averaged templates segmentation labels facilitate analysis MRI. public collection multi-parametric filled gap lacking Asian samples databases.

Language: Английский

Citations

0
Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study DOI Creative Commons
Zhiyong Zhao,

Yifan Shuai,

Yihan Wu

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120669 - 120669

Published: June 7, 2024

The relationship between brain entropy (BEN) and early development has been established through animal studies. However, it remains unclear whether the BEN can be used to identify age-dependent functional changes in human neonatal brains genetic underpinning of new neuroimaging marker elucidated. In this study, we analyzed resting-state fMRI data from Developing Human Connectome Project, including 280 infants who were scanned at 37.5-43.5 weeks postmenstrual age. maps calculated for each subject, a voxel-wise analysis was conducted using general linear model examine effects age, sex, preterm birth on BEN. Additionally, evaluated correlation regional gene expression levels. Our results demonstrated that sensorimotor-auditory association cortices, along 'S-A' axis, significantly positively correlated with postnatal age (PNA), negatively gestational (GA), respectively. Meanwhile, right rolandic operculum both GA PNA. Preterm-born exhibited increased values widespread cortical areas, particularly visual-motor cortex, when compared term-born infants. Moreover, identified five BEN-related genes (DNAJC12, FIG4, STX12, CETN2, IRF2BP2), which involved protein folding, synaptic vesicle transportation cell division. These findings suggest fMRI-based serve as an indicator neonates, may influenced by specific genes.

Language: Английский

Citations

3