McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Neuron. 2018 Apr 18;98(2):282-295. doi: 10.1016/j.neuron.2018.03.021.
Diagnoses of behavioral disorders such as autism spectrum disorder and schizophrenia are based on symptomatic descriptions that have been difficult to connect to mechanism. Although psychiatric genetics provide insight into the genetic underpinning of such disorders, with a majority of cases explained by polygenic factors, it remains difficult to design rational treatments. In this review, we highlight the value of understanding neural circuit function both as an intermediate level of explanatory description that links gene to behavior and as a pathway for developing rational diagnostics and therapeutics for behavioral disorders. As neural circuits perform hierarchically organized computational functions and give rise to network-level processes (e.g., macroscopic rhythms and goal-directed or homeostatic behaviors), correlated network-level deficits may indicate perturbation of a specific circuit. Therefore, identifying such correlated deficits or a circuit endophenotype would provide a mechanistic point of entry, enhancing both diagnosis and treatment of a given behavioral disorder. We focus on a circuit endophenotype of the thalamic reticular nucleus (TRN) and how its impairment in neurodevelopmental disorders gives rise to a correlated set of readouts across sleep and attention. Because TRN neurons express several disorder-relevant genes identified through genome-wide association studies, exploring the consequences of different TRN disruptions may be of broad translational significance.
行为障碍的诊断,如自闭症谱系障碍和精神分裂症,是基于症状描述的,这些描述很难与机制联系起来。尽管精神遗传学为这些障碍的遗传基础提供了深入的了解,其中大多数病例可以用多基因因素来解释,但仍然难以设计合理的治疗方法。在这篇综述中,我们强调了理解神经回路功能的价值,它既是将基因与行为联系起来的中间层次的解释性描述,也是为行为障碍开发合理的诊断和治疗方法的途径。由于神经回路执行层次化的计算功能,并产生网络级的过程(例如,宏观节奏和有目的或稳态的行为),相关的网络级缺陷可能表明特定回路受到干扰。因此,识别这种相关缺陷或回路表型可能提供一个机械的切入点,增强对特定行为障碍的诊断和治疗。我们重点介绍丘脑网状核(TRN)的一个回路表型,以及它在神经发育障碍中的损伤如何导致睡眠和注意力方面的一系列相关指标。由于 TRN 神经元表达了通过全基因组关联研究确定的几种与疾病相关的基因,因此探索不同的 TRN 中断的后果可能具有广泛的转化意义。