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影像数据库与神经科学。

Imaging databases and neuroscience.

作者信息

Toga Arthur W

机构信息

Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095-1769, USA.

出版信息

Neuroscientist. 2002 Oct;8(5):423-36. doi: 10.1177/107385802236971.

Abstract

Brain atlases are equivalent to neuroimage databases provided an appropriate coordinate system to enable multisubject comparisons, along with comprehensive descriptions of the data, are included. Warping tools, visualization, and statistical analyses that accommodate the various neuroimaging modalities can be used to integrate diverse data and form comprehensive maps describing a particular subpopulation's brain structure and function. By linking task performance and genetic information to brain morphology, complex interrelations between genotype, phenotype, and behavior can be established. Several examples of these multimodal, multisubject atlases, including those that are dynamic, are presented.

摘要

脑图谱等同于神经影像数据库,前提是包含一个合适的坐标系以实现多主体比较以及对数据的全面描述。可使用适应各种神经成像模态的变形工具、可视化工具和统计分析方法来整合不同数据,并形成描述特定亚群体脑结构和功能的综合图谱。通过将任务表现和遗传信息与脑形态学联系起来,可以建立基因型、表型和行为之间的复杂相互关系。本文展示了这些多模态、多主体图谱的几个例子,包括动态图谱。

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