人口图集分析人类胎儿中新兴的大脑结构连接。
Population Atlas Analysis of Emerging Brain Structural Connections in the Human Fetus.
机构信息
Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
出版信息
J Magn Reson Imaging. 2024 Jul;60(1):152-160. doi: 10.1002/jmri.29057. Epub 2023 Oct 16.
BACKGROUND
A lack of in utero imaging data hampers our understanding of the connections in the human fetal brain. Generalizing observations from postmortem subjects and premature newborns is inaccurate due to technical and biological differences.
PURPOSE
To evaluate changes in fetal brain structural connectivity between 23 and 35 weeks postconceptional age using a spatiotemporal atlas of diffusion tensor imaging (DTI).
STUDY TYPE
Retrospective.
POPULATION
Publicly available diffusion atlases, based on 60 healthy women (age 18-45 years) with normal prenatal care, from 23 and 35 weeks of gestation.
FIELD STRENGTH/SEQUENCE: 3.0 Tesla/DTI acquired with diffusion-weighted echo planar imaging (EPI).
ASSESSMENT
We performed whole-brain fiber tractography from DTI images. The cortical plate of each diffusion atlas was segmented and parcellated into 78 regions derived from the Edinburgh Neonatal Atlas (ENA33). Connectivity matrices were computed, representing normalized fiber connections between nodes. We examined the relationship between global efficiency (GE), local efficiency (LE), small-worldness (SW), nodal efficiency (NE), and betweenness centrality (BC) with gestational age (GA) and with laterality.
STATISTICAL TESTS
Linear regression was used to analyze changes in GE, LE, NE, and BC throughout gestation, and to assess changes in laterality. The t-tests were used to assess SW. P-values were corrected using Holm-Bonferroni method. A corrected P-value <0.05 was considered statistically significant.
RESULTS
Network analysis revealed a significant weekly increase in GE (5.83%/week, 95% CI 4.32-7.37), LE (5.43%/week, 95% CI 3.63-7.25), and presence of SW across GA. No significant hemisphere differences were found in GE (P = 0.971) or LE (P = 0.458). Increasing GA was significantly associated with increasing NE in 41 nodes, increasing BC in 3 nodes, and decreasing BC in 2 nodes.
DATA CONCLUSION
Extensive network development and refinement occur in the second and third trimesters, marked by a rapid increase in global integration and local segregation.
LEVEL OF EVIDENCE
3 TECHNICAL EFFICACY: Stage 2.
背景
由于技术和生物学差异，胎儿宫内成像数据的缺乏阻碍了我们对人类胎儿大脑连接的理解。由于技术和生物学差异，从尸检和早产儿中得出的观察结果并不准确。
目的
使用扩散张量成像（DTI）的时空图谱评估妊娠 23 至 35 周胎儿大脑结构连接的变化。
研究类型
回顾性。
人群
公共可用的扩散图谱，基于 60 名年龄在 18-45 岁之间、有正常产前护理的健康女性，从妊娠 23 周到 35 周。
磁场强度/序列：3.0 特斯拉/在扩散加权平面回波成像（EPI）上采集的 DTI。
评估
我们从 DTI 图像中进行了全脑纤维束追踪。每个扩散图谱的皮质板被分割并细分为 78 个区域，这些区域源自爱丁堡新生儿图谱（ENA33）。计算了连接矩阵，代表节点之间归一化纤维连接。我们研究了全局效率（GE）、局部效率（LE）、小世界程度（SW）、节点效率（NE）和介数中心性（BC）与胎龄（GA）和侧化之间的关系。
统计检验
线性回归用于分析整个孕期 GE、LE、NE 和 BC 的变化，并评估侧化的变化。t 检验用于评估 SW。使用 Holm-Bonferroni 方法校正 P 值。校正后的 P 值<0.05 被认为具有统计学意义。
结果
网络分析显示，GE（每周增加 5.83%，95%置信区间 4.32-7.37）、LE（每周增加 5.43%，95%置信区间 3.63-7.25）和 SW 在整个 GA 中均呈显著的每周增加。在 GE（P=0.971）或 LE（P=0.458）中未发现明显的半球差异。随着 GA 的增加，41 个节点的 NE 增加，3 个节点的 BC 增加，2 个节点的 BC 减少与 GA 呈显著相关。
数据结论
在第二和第三个三个月，广泛的网络发展和完善，标志着全局整合和局部隔离的快速增加。
证据水平
3 技术功效：阶段 2。
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