Lotan A, Lifschytz T, Mernick B, Lory O, Levi E, Ben-Shimol E, Goelman G, Lerer B
Biological Psychiatry Laboratory, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
MRI Laboratory, Human Biology Research Center, Department of Nuclear Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Mol Psychiatry. 2017 Jun;22(6):884-899. doi: 10.1038/mp.2016.29. Epub 2016 Mar 29.
Many psychiatric disorders are highly heritable and may represent the clinical outcome of early aberrations in the formation of neural networks. The placement of brain connectivity as an 'intermediate phenotype' renders it an attractive target for exploring its interaction with genomics and behavior. Given the complexity of genetic make up and phenotypic heterogeneity in humans, translational studies are indicated. Recently, we demonstrated that a mouse model with heterozygous knockout of the key neurodevelopmental gene Ahi1 displays a consistent stress-resilient phenotype. Extending these data, the current research describes our multi-faceted effort to link early variations in Ahi1 expression with long-term consequences for functional brain networks and cognitive-emotional phenotypes. By combining behavioral paradigms with graph-based analysis of whole-brain functional networks, and then cross-validating the data with robust neuroinformatic data sets, our research suggests that physiological variation in gene expression during neurodevelopment is eventually translated into a continuum of global network metrics that serve as intermediate phenotypes. Within this framework, we suggest that organization of functional brain networks may result, in part, from an adaptive trade-off between efficiency and resilience, ultimately culminating in a phenotypic diversity that encompasses dimensions such as emotional regulation and cognitive function.
许多精神疾病具有高度遗传性,可能代表神经网络形成早期异常的临床结果。将脑连接性作为一种“中间表型”,使其成为探索其与基因组学和行为相互作用的一个有吸引力的目标。鉴于人类基因组成的复杂性和表型异质性,开展转化研究很有必要。最近,我们证明了一种关键神经发育基因Ahi1杂合敲除的小鼠模型表现出一致的应激弹性表型。扩展这些数据,当前的研究描述了我们多方面的努力,即将Ahi1表达的早期变化与功能性脑网络和认知-情感表型的长期后果联系起来。通过将行为范式与基于图的全脑功能网络分析相结合,然后用强大的神经信息数据集对数据进行交叉验证,我们的研究表明,神经发育过程中基因表达的生理变化最终转化为一系列作为中间表型的全局网络指标。在此框架内,我们认为功能性脑网络的组织可能部分源于效率和弹性之间的适应性权衡,最终导致包括情绪调节和认知功能等维度的表型多样性。