Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders.

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders.
复制标题

DOI:
10.1016/j.biopsych.2017.03.005
复制
发表时间:
2017-05-15
影响因子:
10.6
通讯作者:
Anticevic A
Anticevic A
中科院分区:
医学1区
文献类型:
--
作者:
Foss-Feig JH;Adkinson BD;Ji JL;Yang G;Srihari VH;McPartland JC;Krystal JH;Murray JD;Anticevic A

文献摘要

被引文献

相似文献

最近的理论解释已经提出兴奋(E)和抑制(I)不平衡作为神经发育障碍,特别是自闭症谱系障碍(ASD)和精神分裂症(SCZ)的神经和行为功能障碍的可能机制,网络水平的假设。这两种疾病在临床表现上有一些重叠,在潜在的基因和神经生物学上也有一些趋同。然而,也有明显的分离点,在表型和pupillary影响的神经回路。在这里,我们强调了临床神经科学文献中的新兴工作,这些文献研究了ASD儿童和成人以及慢性和早期SCZ成人的E/I失衡的神经相关性。我们讨论了不同的神经影像学研究的结果,在不同的方式,进行脑电图,脑磁图,1H-MRS,和功能磁共振成像,包括在任务和休息时观察到的影响。在这篇综述中,我们讨论了ASD和SCZ文献中的收敛和发散点,重点是神经E/I平衡的破坏。我们还认为这些发现与理论神经科学产生的预测有关,特别是预测各种疾病E/I不平衡的计算模型。最后,我们讨论了人类非侵入性神经影像学如何从药理学挑战研究中获益,以揭示ASD和SCZ的机制。总的来说,我们试图阐明共享和不同的神经影像学效应的障碍,为未来的研究提供信息,研究神经发育障碍的E/I失衡假说的机制。我们认为,这种转化的努力是至关重要的,以促进发展的神经生物学知情的治疗策略,在神经精神疾病。
Recent theoretical accounts have proposed excitation (E) and inhibition (I) imbalance as a possible mechanistic, network-level hypothesis underlying neural and behavioral dysfunction across neurodevelopmental disorders, particularly autism spectrum disorder (ASD) and schizophrenia (SCZ). These two disorders share some overlap in their clinical presentation as well as convergence in their underlying genes and neurobiology. However, there are also clear points of dissociation in terms of phenotypes and putatively affected neural circuitry. Here we highlight emerging work from the clinical neuroscience literature examining neural correlates of E/I imbalance across children and adults with ASD and adults with both chronic and early-course SCZ. We discuss findings from diverse neuroimaging studies across distinct modalities, conducted with EEG, MEG, 1H-MRS, and fMRI, including effects observed both during task and at rest. Throughout this review we discuss points of convergence and divergence in the ASD and SCZ literature, with a focus on disruptions in neural E/I balance. We also consider these findings in relation to predictions generated by theoretical neuroscience, particularly computational models predicting E/I imbalance across disorders. Finally, we discuss how human non-invasive neuroimaging can benefit from pharmacological challenge studies to reveal mechanisms in ASD and SCZ. Collectively, we attempt to shed light on shared and divergent neuroimaging effects across disorders with the goal of informing future research examining the mechanisms underlying the E/I imbalance hypothesis across neurodevelopmental disorders. We posit that such translational efforts are vital to facilitate development of neurobiologically informed treatment strategies across neuropsychiatric conditions.