Imaging Research Center and Departments of Psychology and Neurobiology, University of Texas, Austin, Texas, United States of America.
PLoS Comput Biol. 2012;8(10):e1002707. doi: 10.1371/journal.pcbi.1002707. Epub 2012 Oct 11.
Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions and their mapping to brain systems. This analysis confirms many current ideas regarding the neural organization of cognition, but also provides some new insights into the roles of particular brain systems in mental function. We further show that the same methods can be used to identify the relations between mental disorders. Finally, we show that these two approaches can be combined to empirically identify novel relations between mental disorders and mental functions via their common involvement of particular brain networks. This approach has the potential to discover novel endophenotypes for neuropsychiatric disorders and to better characterize the structure of these disorders and the relations between them.
神经影像学研究主要集中于识别大脑活动与特定心理功能之间的关联。在这里,我们展示了应用于大型神经影像学结果数据库的数据挖掘技术可用于识别心理功能的概念结构及其与大脑系统的映射。该分析证实了许多关于认知神经组织的现有观点,但也为特定大脑系统在心理功能中的作用提供了一些新的见解。我们进一步表明,相同的方法可用于识别精神障碍之间的关系。最后,我们表明,这两种方法可以结合使用,通过特定脑网络的共同参与,从经验上确定精神障碍和心理功能之间的新关系。这种方法有可能发现神经精神障碍的新的内表型,并更好地描述这些障碍的结构及其之间的关系。