神经网络功能交互介导或抑制婴儿期白质-情绪行为关系。
Neural Network Functional Interactions Mediate or Suppress White Matter-Emotional Behavior Relationships in Infants.
机构信息
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Department of Pediatric Radiology, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
出版信息
Biol Psychiatry. 2023 Jul 1;94(1):57-67. doi: 10.1016/j.biopsych.2023.03.004. Epub 2023 Mar 12.
BACKGROUND
Elucidating the neural basis of infant positive emotionality and negative emotionality can identify biomarkers of pathophysiological risk. Our goal was to determine how functional interactions among large-scale networks supporting emotional regulation influence white matter (WM) microstructural-emotional behavior relationships in 3-month-old infants. We hypothesized that microstructural-emotional behavior relationships would be differentially mediated or suppressed by underlying resting-state functional connectivity (rsFC), particularly between default mode network and central executive network structures.
METHODS
The analytic sample comprised primary caregiver-infant dyads (52 infants [42% female, mean age at scan = 15.10 weeks]), with infant neuroimaging and emotional behavior assessments conducted at 3 months. Infant WM and rsFC were assessed by diffusion-weighted imaging/tractography and resting-state magnetic resonance imaging during natural, nonsedated sleep. The Infant Behavior Questionnaire-Revised provided measures of infant positive emotionality and negative emotionality.
RESULTS
After significant WM-emotional behavior relationships were observed, multimodal analyses were performed using whole-brain voxelwise mediation. Results revealed that greater cingulum bundle volume was significantly associated with lower infant positive emotionality (β = -0.263, p = .031); however, a pattern of lower rsFC between central executive network and default mode network structures suppressed this otherwise negative relationship. Greater uncinate fasciculus volume was significantly associated with lower infant negative emotionality (β = -0.296, p = .022); however, lower orbitofrontal cortex-amygdala rsFC suppressed this otherwise negative relationship, while greater orbitofrontal cortex-central executive network rsFC mediated this relationship.
CONCLUSIONS
Functional interactions among neural networks have an important influence on WM microstructural-emotional behavior relationships in infancy. These relationships can elucidate neural mechanisms that contribute to future behavioral and emotional problems in childhood.
背景
阐明婴儿积极情绪和消极情绪的神经基础可以确定生理病理风险的生物标志物。我们的目标是确定支持情绪调节的大规模网络之间的功能相互作用如何影响 3 个月大婴儿的白质（WM）微观结构-情绪行为关系。我们假设微观结构-情绪行为关系将通过潜在的静息态功能连接（rsFC）得到不同程度的介导或抑制，特别是在默认模式网络和中央执行网络结构之间。
方法
分析样本包括主要照顾者-婴儿对（52 名婴儿[42%为女性，扫描时的平均年龄为 15.10 周]），在 3 个月时进行婴儿神经影像学和情绪行为评估。通过扩散加权成像/轨迹和静息状态磁共振成像在自然、非镇静睡眠期间评估婴儿 WM 和 rsFC。婴儿行为问卷修订版提供了婴儿积极情绪和消极情绪的测量。
结果
在观察到显著的 WM-情绪行为关系后，使用全脑体素水平中介分析进行了多模态分析。结果表明，扣带束体积越大，婴儿的积极情绪越低（β=-0.263，p=0.031）；然而，中央执行网络和默认模式网络结构之间的 rsFC 较低会抑制这种负面关系。钩束体积越大，婴儿的消极情绪越低（β=-0.296，p=0.022）；然而，眶额皮层-杏仁核 rsFC 越低会抑制这种负面关系，而眶额皮层-中央执行网络 rsFC 越高会介导这种关系。
结论
神经网络之间的功能相互作用对婴儿期 WM 微观结构-情绪行为关系有重要影响。这些关系可以阐明有助于儿童未来行为和情绪问题的神经机制。
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