Multisite neuroimaging trials.
Multisite neuroimaging trials.
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DOI：
10.1097/wco.0b013e32832d92de
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发表时间：
2009-08
影响因子：
4.8
通讯作者：
Toga AW
中科院分区：
文献类型：
--
作者：
Van Horn JD;Toga AW
本文的目的是回顾多中心神经影像学试验的趋势及其研究价值和临床治疗的意义。磁共振成像检测活体大脑中的疾病的可用性的增加使其成为评估许多突出疾病的神经结构和功能的有吸引力的技术。患病人群的地理因素加上互补的神经影像学研究计划，导致多中心神经影像学试验和联盟的增加。神经影像学已成为多机构研究的主要焦点，这些研究涉及a）脑结构的渐进性变化，B）治疗反应的替代生物标志物，以及c）疾病对认知激活和连接模式的影响。著名的联盟和研究试验研究集中在阿尔茨海默氏病，儿科脑癌和胎儿酒精综合征，除了多机构合作计划映射正常大脑。这种大规模的努力需要密切协调图像数据收集协议，本体开发，计算要求，协调一致的数据存档和共享。多中心神经影像学试验、联盟和协作能够获得大规模、目的驱动的数据集，然后可供更广泛的社区用于建模和预测临床结果，并指导临床医生选择神经系统疾病的治疗方案。
The intent of this article is to review trends in multi-center neuroimaging trials and their value for research and implications for clinical treatment. The rise in availability of magnetic resonance imaging for detecting disorders in the living brain has made it an attractive technology for assessing neural structure and function in a number of prominent diseases. Geographic factors underlying diseased populations coupled with complementary neuroimaging research programs have led to an increase in multi-center neuroimaging trials and consortia. Neuroimaging has become a major focus for multi-institutional research into a) progressive changes in brain architecture, b) proxy biomarkers of treatment response, and c) the effects of disease on patterns of cognitive activation and connectivity. Notable consortia and research trial studies have focused on Alzheimer's disease, pediatric brain cancer, and fetal alcohol syndrome, in addition to multi-institutional collaborative programs for mapping the normal brain. Such large-scale efforts necessitate close coordination of image data collection protocols, ontology development, computational requirements, concerted data archiving and sharing. Multi-center neuroimaging trials, consortia, and collaboratives enable the acquisition of large-scale, purpose-driven datasets that can then be used by the broader community to model and predict clinical outcomes as well as guide clinicians in selecting treatment options for neurological disease.