Long-term neural and physiological phenotyping of a single human.
Long-term neural and physiological phenotyping of a single human.
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DOI：
10.1038/ncomms9885
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发表时间：
2015-12-09
影响因子：
16.6
通讯作者：
Mumford JA
中科院分区：
文献类型：
--
作者：
Poldrack RA;Laumann TO;Koyejo O;Gregory B;Hover A;Chen MY;Gorgolewski KJ;Luci J;Joo SJ;Boyd RL;Hunicke-Smith S;Simpson ZB;Caven T;Sochat V;Shine JM;Gordon E;Snyder AZ;Adeyemo B;Petersen SE;Glahn DC;Reese Mckay D;Curran JE;Göring HH;Carless MA;Blangero J;Dougherty R;Leemans A;Handwerker DA;Frick L;Marcotte EM;Mumford JA
精神疾病的特征是心理功能在数周和数月的过程中发生重大波动，但健康个体在此时间尺度上的脑功能动态特征尚不清楚。在这里，作为解决这个问题的概念证明，我们提出了MyConnectome项目。在18个月的时间内对单个人进行了密集的全表型评估，包括使用磁共振成像的功能和结构大脑连接，心理功能和身体健康，基因表达和代谢组学。提供了可重复的分析工作流程，沿着开放数据访问和结果在线浏览器。我们展示了大脑连接在几天到几个月的时间尺度上的动态变化，以及大脑连接，基因表达和代谢物之间的关系。该资源可以作为研究人类大脑和代谢功能随时间变化的联合动力学的试验平台，这是一种对于开发针对大脑疾病的精准医学策略至关重要的方法。 大规模的多模态表型表征是探索脑功能的有价值的工具。Poldrack等人在18个月的时间内从一个人身上收集并关联MRI、心理、生理、代谢和基因表达数据，为未来的研究提供了丰富的资源。
Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of brain function over this timescale in healthy individuals are unknown. Here, as a proof of concept to address this question, we present the MyConnectome project. An intensive phenome-wide assessment of a single human was performed over a period of 18 months, including functional and structural brain connectivity using magnetic resonance imaging, psychological function and physical health, gene expression and metabolomics. A reproducible analysis workflow is provided, along with open access to the data and an online browser for results. We demonstrate dynamic changes in brain connectivity over the timescales of days to months, and relations between brain connectivity, gene expression and metabolites. This resource can serve as a testbed to study the joint dynamics of human brain and metabolic function over time, an approach that is critical for the development of precision medicine strategies for brain disorders. Large-scale, multimodal phenotypic characterisation is a valuable tool to explore brain function. Poldrack et al. collect and relate MRI, psychological, physiological, metabolic and gene expression data from a single human over an 18 month period, providing a rich resource for future studies.