我们都一样吗?ASD 的脑-体-环境相互作用

IF 3.4 3区 医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-11-27 DOI:10.3389/fncir.2023.1275896
Shlomit Beker, Sophie Molholm
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引用次数: 0

摘要

自闭症谱系障碍(ASD)的特点是生活常规僵化、兴趣受限、社会交流和互动不典型。最近有证据表明,自闭症患者大脑神经振荡活动与环境中规律性活动的同步性发生了改变,外周神经系统功能也发生了改变,这为研究病理生理学及其与自闭症临床表型的关系提供了新的方向。人类的认知和行动受到中枢神经系统(CNS)和自主神经系统(ANS)产生的生理节律过程的重大影响。正常情况下,感知发生在动态环境中,大脑振荡和自律神经信号与外部事件同步,以最佳方式接收时间上可预测的节律信息,从而提高表现。最近的研究发现,在典型发育患者的有效感知和成功社会交往中,大脑和外周之间的时间敏感耦合凸显了研究大脑-身体-环境三者之间的相互作用是研究自闭症的一个重要方向。在此,我们从一个新的角度将自闭症视为大脑-身体-环境耦合的时间动态受损的病例。我们从文献中提出证据,支持这样一种观点,即自闭症患者的神经系统无法以适应的方式与环境中时间上可预测的事件同步运行,从而优化感知和行为。这一框架有可能为自闭症的标志性缺陷(如认知僵化和社会交往改变)提供新的生物标志物。
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Do we all synch alike? Brain–body-environment interactions in ASD

Autism Spectrum Disorder (ASD) is characterized by rigidity of routines and restricted interests, and atypical social communication and interaction. Recent evidence for altered synchronization of neuro-oscillatory brain activity with regularities in the environment and of altered peripheral nervous system function in ASD present promising novel directions for studying pathophysiology and its relationship to ASD clinical phenotype. Human cognition and action are significantly influenced by physiological rhythmic processes that are generated by both the central nervous system (CNS) and the autonomic nervous system (ANS). Normally, perception occurs in a dynamic context, where brain oscillations and autonomic signals synchronize with external events to optimally receive temporally predictable rhythmic information, leading to improved performance. The recent findings on the time-sensitive coupling between the brain and the periphery in effective perception and successful social interactions in typically developed highlight studying the interactions within the brain–body-environment triad as a critical direction in the study of ASD. Here we offer a novel perspective of autism as a case where the temporal dynamics of brain–body-environment coupling is impaired. We present evidence from the literature to support the idea that in autism the nervous system fails to operate in an adaptive manner to synchronize with temporally predictable events in the environment to optimize perception and behavior. This framework could potentially lead to novel biomarkers of hallmark deficits in ASD such as cognitive rigidity and altered social interaction.

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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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