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出生、爱与恐惧:从怀孕到为人父母的生理网络。

Birth, love, and fear: Physiological networks from pregnancy to parenthood.

作者信息

Grant Azure D, Erickson Elise N

机构信息

Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, United States.

Levels Health Inc., 228 Park Ave. South, PMB 63877, New York, NY, 10003, United States.

出版信息

Compr Psychoneuroendocrinol. 2022 Apr 26;11:100138. doi: 10.1016/j.cpnec.2022.100138. eCollection 2022 Aug.

Abstract

Pregnancy and childbirth are among the most dramatic physiological and emotional transformations of a lifetime. Despite their central importance to human survival, many gaps remain in our understanding of the temporal progression of and mechanisms underlying the transition to new parenthood. The goal of this paper is to outline the physiological and emotional development of the maternal-infant dyad from late pregnancy to the postpartum period, and to provide a framework to investigate this development using non-invasive timeseries. We focus on the interaction among neuroendocrine, emotional, and autonomic outputs in the context of late pregnancy, parturition, and post-partum. We then propose that coupled dynamics in these outputs can be leveraged to map both physiologic and pathologic pregnancy, parturition, and parenthood. This approach could address gaps in our knowledge and enable early detection or prediction of problems, with both personalized depth and broad population scale.

摘要

怀孕和分娩是一生中最显著的生理和情感转变之一。尽管它们对人类生存至关重要,但我们对向新为人父母转变的时间进程和潜在机制的理解仍存在许多空白。本文的目的是概述母婴二元组从妊娠晚期到产后的生理和情感发展,并提供一个使用无创时间序列来研究这一发展的框架。我们关注妊娠晚期、分娩和产后背景下神经内分泌、情感和自主输出之间的相互作用。然后我们提出,这些输出中的耦合动力学可用于描绘生理性和病理性的妊娠、分娩及为人父母的情况。这种方法可以填补我们知识上的空白,并能够以个性化的深度和广泛的人群规模对问题进行早期检测或预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7e1/9227990/6fe328e5f32f/gr1.jpg

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