A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: partial least squares analysis
A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: partial least squares analysis
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DOI：
10.1016/s0920-9964(00)00171-7
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发表时间：
2002-01-01
影响因子：
4.5
通讯作者：
Shenton, ME
中科院分区：
文献类型：
--
作者：
Nestor, PG;O'Donnell, BF;Shenton, ME
我们采用偏最小二乘法（PLS）作为一种新的多元统计技术，以检查神经心理相关的磁共振成像（MRI）的措施，在一个良好的研究样本的15例男性慢性精神分裂症患者的脑容量。在目前的研究中，由于措施的总数远远超过了总人数的主题，现有的多变量技术，如典型相关不能用来检查MRI和神经心理学的同时测量之间的关系。此外，因为MRI测量被预期为高度相互关联的，神经心理学测试分数也是如此，所以现存的多变量统计技术将受到很大限制，因为它们通常假设测量集合之间的统计独立性。PLS，另一方面，被证明是特别适合于检查在这个样本中的功能和解剖测量之间的关系，其中统计学上显着的关系被证明是完全一致的，与以前的研究使用单变量相关技术。特别是，统计学上显着的关系之间出现了套MRI颞叶措施和神经心理学测试的文字记忆和分类，以及MRI额叶措施和神经心理学测试的工作记忆。(C)2002 Elsevier Science B.V.保留所有权利。
We applied partial least squares (PLS) as a novel multivariate statistical technique to examine neuropsychological correlates of magnetic resonance imaging (MRI) measures of brain volumes in a well studied sample of 15 male patients with chronic schizophrenia. In the current study, because the total number of measures far surpassed the total number of subjects, extant multivariate techniques such as canonical correlation could not be used to examine relationships among simultaneous measures of MRI and neuropsychology. Moreover, because MRI measures were expected to be highly inter-correlated, as would be neuropsychological test scores, extant multivariate statistical techniques would be substantially limited because they typically assume statistical independence among sets of measures. PLS, on the other hand, proved to be especially well suited to examining the relationships among function and anatomy measures in this sample, where statistically significant relationships were demonstrated that were entirely consistent with prior studies using univariate correlation techniques. In particular, statistically significant relationships emerged among sets of MRI temporal lobe measures and neuropsychological tests of verbal memory and categorization as well as among MRI frontal measures and neuropsychological tests of working memory. (C) 2002 Elsevier Science B.V. All rights reserved.