Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California; Department of Neurobiology and Behavior, University of California, Irvine, Irvine, California.
Department of Statistics, University of California, Irvine, Irvine, California.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Feb;9(2):207-216. doi: 10.1016/j.bpsc.2023.08.002. Epub 2023 Aug 22.
Fetal exposure to maternal mood dysregulation influences child cognitive and emotional development, which may have long-lasting implications for mental health. However, the neurobiological alterations associated with this dimension of adversity have yet to be explored. Here, we tested the hypothesis that fetal exposure to entropy, a novel index of dysregulated maternal mood, would predict the integrity of the salience network, which is involved in emotional processing.
A sample of 138 child-mother pairs (70 females) participated in this prospective longitudinal study. Maternal negative mood level and entropy (an index of variable and unpredictable mood) were assessed 5 times during pregnancy. Adolescents engaged in a functional magnetic resonance imaging task that was acquired between 2 resting-state scans. Changes in network integrity were analyzed using mixed-effect and latent growth curve models. The amplitude of low frequency fluctuations was analyzed to corroborate findings.
Prenatal maternal mood entropy, but not mood level, was associated with salience network integrity. Both prenatal negative mood level and entropy were associated with the amplitude of low frequency fluctuations of the salience network. Latent class analysis yielded 2 profiles based on changes in network integrity across all functional magnetic resonance imaging sequences. The profile that exhibited little variation in network connectivity (i.e., inflexibility) consisted of adolescents who were exposed to higher negative maternal mood levels and more entropy.
These findings suggest that fetal exposure to maternal mood dysregulation is associated with a weakened and inflexible salience network. More broadly, they identify maternal mood entropy as a novel marker of early adversity that exhibits long-lasting associations with offspring brain development.
胎儿暴露于母体情绪失调会影响儿童认知和情绪发展,这可能对心理健康产生持久影响。然而,与这种逆境相关的神经生物学改变尚未得到探索。在这里,我们检验了这样一个假设,即胎儿暴露于熵(一种新的母体情绪失调指标)会预测突显网络的完整性,突显网络涉及情绪处理。
本前瞻性纵向研究纳入了 138 对母婴(70 名女性)。在怀孕期间,评估了 5 次母亲的负面情绪水平和熵(一种表示情绪变化和不可预测性的指标)。青少年在两次静息态扫描之间进行了功能磁共振成像任务。使用混合效应和潜在增长曲线模型分析网络完整性的变化。分析了低频波动幅度以验证结果。
产前母亲情绪熵,而不是情绪水平,与突显网络完整性有关。产前负面情绪水平和熵都与突显网络的低频波动幅度有关。潜在类别分析基于所有功能磁共振成像序列中网络完整性的变化产生了 2 个特征。网络连接变化较小(即灵活性较低)的特征包括暴露于较高的母亲负面情绪水平和更多熵的青少年。
这些发现表明,胎儿暴露于母体情绪失调与较弱和灵活性较低的突显网络有关。更广泛地说,它们将母亲情绪熵确定为一种新的早期逆境标志物,与后代大脑发育存在持久关联。