Network analysis of mild cognitive impairment

被引：27

作者：

Chen, R ^{[1
]}

Herskovits, EH ^{[1
]}

机构：

[1] Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA

来源：

NEUROIMAGE | 2006年 / 29卷 / 04期

关键词：

D O I：

10.1016/j.neuroimage.2005.08.020

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

We present a network analysis of a cross-sectional study of mild cognitive impairment (MCI). Network analysis, as opposed to univariate analysis, accounts for interactions among brain structures in explaining a clinical outcome. In this context, we analyze structural magnetic resonance (MR) data based on a Bayesian network representation of variables in the problem domain. The Bayesian network resulting from this analysis reveals complex, nonlinear multivariate associations among morphological changes in the left hippocampus and in the right thalamus and the presence of mild cognitive impairment. This Bayesian network could be used to predict the presence of mild cognitive impairment from structural MR scans. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：1252 / 1259

页数：8

共 46 条

[41] Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review) - Report of the Quality Standards Subcommittee of the American Academy of Neurology [J].