Dunsmore Julie C, Ashley Richard A, Zhou Yu, Swain Deanna M, Factor Reina S, Broomell Alleyne P, Waldron Jonathan C, Bell Martha Ann, Scarpa Angela
Department of Psychology, Virginia Polytechnic Institute and State University, United States.
Department of Economics, Virginia Polytechnic Institute and State University, United States.
Biol Psychol. 2019 May;144:37-45. doi: 10.1016/j.biopsycho.2019.03.001. Epub 2019 Mar 6.
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulty in dynamically adjusting behavior to interact effectively with others, or social reciprocity. Synchronization of physiological responses between interacting partners, or physiological linkage (PL), is thought to provide a foundation for social reciprocity. In previous work we developed a new technique to measure PL using dynamic linear time series modeling to assess cardiac interbeat interval (IBI) linkage in typically developing same-sex unacquainted dyads (Scarpa et al., 2017). The current article describes a proof-of-concept study with three dyads of young adults with ASD interacting with same-sex unacquainted typically developing (TD) partners. This pilot data is applied to propose potential benefits of using this technique to quantify and assess PL in individuals with ASD, both for basic research and for intervention science. Discussion focuses on applications of this measure to potentially advance knowledge of the biology-behavior link in ASD.
自闭症谱系障碍(ASD)是一种神经发育疾病,其特征在于难以动态调整行为以与他人进行有效互动,即社交互惠存在困难。互动伙伴之间生理反应的同步,即生理联系(PL),被认为是社交互惠的基础。在之前的研究中,我们开发了一种新技术,使用动态线性时间序列模型来测量PL,以评估发育正常的同性陌生二人组中心脏搏动间期(IBI)的联系(斯卡帕等人,2017年)。本文描述了一项概念验证研究,研究对象为三组患有ASD的年轻成年人与同性陌生的发育正常(TD)伙伴进行互动。这些初步数据用于提出使用该技术量化和评估ASD个体中PL的潜在益处,包括基础研究和干预科学方面。讨论集中在该测量方法在潜在推进ASD生物学 - 行为联系知识方面的应用。