The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation
The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation
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DOI：
10.3389/fninf.2018.00077
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发表时间：
2018-11-06
影响因子：
3.5
通讯作者：
Jankowicz, Damian
中科院分区：
文献类型：
--
作者：
Rotenberg, David J.;Chang, Qing;Jankowicz, Damian
神经影像技术的出现和成熟以及分子测序技术的快速发展和可负担性的提高丰富了精神疾病的调查，然而，研究数据的数量，种类和速度的增加，对策划，联合和解释提出了相当大的技术和分析挑战。大脑疾病的高维数据集的聚合可以增加样本量，并可能有助于确定大脑功能障碍的根本原因，然而，对于有效的数据协调和整合存在额外的障碍，以便在研究中组合使用。为了帮助实现精神疾病研究的多模式数据集成的潜力，成瘾和精神健康中心（CAMH）构建了一个集中的数据采集，可视化和分析环境-CAMH神经信息学平台-基于安大略脑研究所（OBI）Brain-CODE架构，以管理标准化，统一的精神病医院范围的研究数据集，直接耦合到高性能计算资源。
Investigations of mental illness have been enriched by the advent and maturation of neuroimaging technologies and the rapid pace and increased affordability of molecular sequencing techniques, however, the increased volume, variety and velocity of research data, presents a considerable technical and analytic challenge to curate, federate and interpret. Aggregation of high-dimensional datasets across brain disorders can increase sample sizes and may help identify underlying causes of brain dysfunction, however, additional barriers exist for effective data harmonization and integration for their combined use in research. To help realize the potential of multi-modal data integration for the study of mental illness, the Centre for Addiction and Mental Health (CAMH) constructed a centralized data capture, visualization and analytics environment-the CAMH Neuroinformatics Platform-based on the Ontario Brain Institute (OBI) Brain-CODE architecture, towards the curation of a standardized, consolidated psychiatric hospital-wide research dataset, directly coupled to high performance computing resources.