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首页> 外文期刊>Frontiers in Neuroscience >Commentary: BRAIN NETWORKS. Correlated Gene Expression Supports Synchronous Activity in Brain Networks. Science 348, 1241–4
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Commentary: BRAIN NETWORKS. Correlated Gene Expression Supports Synchronous Activity in Brain Networks. Science 348, 1241–4

机译:评论:大脑网络。相关基因表达支持脑网络中的同步活动。科学348,1241-4

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A recent report claims that functional brain networks defined with resting-state functional magnetic resonance imaging (fMRI) can be recapitulated with correlated gene expression (i.e., high within-network tissue-tissue “strength fraction,” SF) (Richiardi et al., 2015). However, the authors do not adequately control for spatial proximity. We replicated their main analysis, performed a more effective adjustment for spatial proximity, and tested whether “null networks” (i.e., clusters with center coordinates randomly placed throughout cortex) also exhibit high SF. Removing proximal tissue-tissue correlations by Euclidean distance, as opposed to removing correlations within arbitrary tissue labels as in Richiardi et al. (2015), reduces within-network SF to no greater than null. Moreover, randomly placed clusters also have significantly high SF, indicating that high within-network SF is entirely attributable to proximity and is unrelated to functional brain networks defined by resting-state fMRI. We discuss why additional validations in the original article are invalid and/or misleading and suggest future directions.
机译:最近的一份报告声称,用静止状态功能磁共振成像(fMRI)定义的功能性大脑网络可以用相关的基因表达(即,网络内高组织组织“强度分数” SF)来概括(Richiardi等, 2015)。但是,作者没有充分控制空间邻近性。我们重复了他们的主要分析,对空间邻近度进行了更有效的调整,并测试了“空网络”(即中心坐标随机分布在整个皮质中的簇)是否也显示出较高的SF。与在Richiardi等人的文章中删除任意组织标记内的相关性相反,通过欧几里德距离删除近端组织与组织的相关性。 (2015),将网络内SF减小为不大于null。此外,随机放置的簇也具有明显较高的SF,这表明较高的网络内SF完全归因于邻近度,与静息状态fMRI定义的功能性脑网络无关。我们讨论了为什么原始文章中的其他验证无效和/或产生误导,并提出未来的发展方向。

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