The maternal-fetal neurodevelopmental groundings of preterm birth risk

被引:4
|
作者
Miglioli, Cesare [3 ]
Canini, Matteo [1 ]
Vignotto, Edoardo [3 ]
Pecco, Nicolo [1 ]
Pozzoni, Mirko [2 ]
Victoria-Feser, Maria-Pia [3 ]
Guerrier, Stephane [3 ,4 ]
Candiani, Massimo [2 ]
Falini, Andrea [1 ]
Baldoli, Cristina [1 ]
Cavoretto, Paolo I. [2 ]
Della Rosa, Pasquale A. [1 ]
机构
[1] IRCCS San Raffaele Sci Inst, Dept Neuroradiol, Via Olgettina 60, I-20132 Milan, Italy
[2] IRCCS San Raffaele Sci Inst, Dept Obstet & Gynecol, Via Olgettina 60, I-20132 Milan, Italy
[3] Univ Geneva, Res Ctr Stat, Blvd Du Pont Darve 40, CH-1205 Geneva, Switzerland
[4] Univ Geneva, Fac Sci, Quai Ernest Ansermet 30, CH-1211 Geneva, Switzerland
关键词
Preterm birth; Preterm birth risk; Fetal neurodevelopment; fMRI; Fetal brain functional connectivity; Machine learning; FUNCTIONAL BRAIN NETWORKS; BASAL GANGLIA; CONNECTIVITY; DOPAMINE; OUTCOMES; INDIVIDUALS; INFANTS; WEIGHT; MEMORY; LENGTH;
D O I
10.1016/j.heliyon.2024.e28825
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Altered neurodevelopment is a major clinical sequela of Preterm Birth (PTB) being currently unexplored in-utero. Aims: To study the link between fetal brain functional (FbF) connectivity and preterm birth, using resting -state functional magnetic resonance imaging (rs-fMRI). Study design: Prospective single -centre cohort study. Subjects: A sample of 31 singleton pregnancies at 28 - 34 weeks assigned to a low PTB risk (LR) (n = 19) or high PTB risk (HR) (n = 12) group based on a) the Maternal Frailty Inventory (MaFra) for PTB risk; b) a case -specific PTB risk gradient. Methods: Fetal brain rs-fMRI was performed on 1.5T MRI scanner. First, directed causal relations representing fetal brain functional connectivity measurements were estimated using the Greedy Equivalence Search (GES) algorithm. HR vs. LR group differences were then tested with a novel ad -hoc developed Monte Carlo permutation test. Second, a MaFra-only random forest (RF) was compared against a MaFra-Neuro RF, trained by including also the most important fetal brain functional connections. Third, correlation and regression analyses were performed between MaFra-Neuro class probabilities and i) the GA at birth; ii) PTB risk gradient, iii) perinatal clinical conditions and iv) PTB below 37 weeks. Results: First, fewer fetal brain functional connections were evident in the HR group. Second, the MaFra-Neuro RF improved PTB risk prediction. Third, MaFra-Neuro class probabilities showed a significant association with: i) GA at birth; ii) PTB risk gradient, iii) perinatal clinical conditions and iv) PTB below 37 weeks. Conclusion: Fetal brain functional connectivity is a novel promising predictor of PTB, linked to maternal risk profiles, ahead of birth, and clinical markers of neurodevelopmental risk, at birth, thus potentially " connecting " different PTB phenotypes.
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页数:13
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