Chen Rong, Herskovits Edward H
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD 21201, USA.
Comput Med Imaging Graph. 2015 Apr;41:117-25. doi: 10.1016/j.compmedimag.2014.05.001. Epub 2014 May 10.
Establishing relationships among brain structures and cognitive functions is a central task in cognitive neuroscience. Existing methods to establish associations among a set of function variables and a set of brain regions, such as dissociation logic and conjunction analysis, are hypothesis-driven. We propose a new data-driven approach to structure-function association analysis. We validated it by analyzing a simulated atrophy study. We applied the proposed method to a study of aging and dementia. We found that the most significant age-related and dementia-related volume reductions were in the hippocampal formation and the supramarginal gyrus, respectively. These findings suggest a multi-component brain-aging model.
在脑结构与认知功能之间建立联系是认知神经科学的核心任务。现有的在一组功能变量和一组脑区之间建立关联的方法，如分离逻辑和联合分析，都是基于假设驱动的。我们提出了一种新的数据驱动方法用于结构-功能关联分析。我们通过分析一项模拟萎缩研究对其进行了验证。我们将所提出的方法应用于一项衰老与痴呆的研究。我们发现，与年龄相关和与痴呆相关的最显著体积减少分别发生在海马结构和缘上回。这些发现提示了一种多成分脑衰老模型。
