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Identifying functional reorganization of spelling networks: an individual peak probability comparison approach

机译:识别拼写网络的功能重组:单个峰值概率比较方法

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摘要

Previous research has shown that damage to the neural substrates of orthographic processing can lead to functional reorganization during reading (Tsapkini et al., ); in this research we ask if the same is true for spelling. To examine the functional reorganization of spelling networks we present a novel three-stage Individual Peak Probability Comparison (IPPC) analysis approach for comparing the activation patterns obtained during fMRI of spelling in a single brain-damaged individual with dysgraphia to those obtained in a set of non-impaired control participants. The first analysis stage characterizes the convergence in activations across non-impaired control participants by applying a technique typically used for characterizing activations across studies: Activation Likelihood Estimate (ALE) (Turkeltaub et al., ). This method was used to identify locations that have a high likelihood of yielding activation peaks in the non-impaired participants. The second stage provides a characterization of the degree to which the brain-damaged individual's activations correspond to the group pattern identified in Stage 1. This involves performing a Mahalanobis distance statistics analysis (Tsapkini et al., ) that compares each of a control group's peak activation locations to the nearest peak generated by the brain-damaged individual. The third stage evaluates the extent to which the brain-damaged individual's peaks are atypical relative to the range of individual variation among the control participants. This IPPC analysis allows for a quantifiable, statistically sound method for comparing an individual's activation pattern to the patterns observed in a control group and, thus, provides a valuable tool for identifying functional reorganization in a brain-damaged individual with impaired spelling. Furthermore, this approach can be applied more generally to compare any individual's activation pattern with that of a set of other individuals.
机译:先前的研究表明,对正字处理过程中的神经基质的损害会导致阅读过程中的功能重组(Tsapkini等,2007)。在这项研究中,我们询问拼写是否同样如此。为了检查拼写网络的功能重组,我们提出了一种新颖的三阶段个人峰值概率比较(IPPC)分析方法,用于比较在具有脑拼音障碍的单个脑损伤个体的fMRI拼写过程中获得的激活模式与一组无障碍对照参与者。第一个分析阶段通过应用通常用于表征研究中激活的技术来表征未受损对照参与者之间激活的收敛:激活可能性估计(ALE)(Turkeltaub等,)。该方法用于识别在未受损参与者中极有可能产生激活峰的位置。第二阶段提供了表征大脑受损个体的激活程度与阶段1中确定的组模式相对应的特征。这包括进行Mahalanobis距离统计分析(Tsapkini等人),以比较每个对照组的峰值激活位置至脑部受损个体产生的最近峰值。第三阶段评估大脑受损个体的峰值相对于对照组参与者个体变异范围的非典型程度。这种IPPC分析提供了一种量化的,统计上合理的方法,用于将个人的激活模式与对照组中观察到的模式进行比较,从而提供了一种有价值的工具,可用于识别拼写受损的大脑受损个人的功能重组。此外,该方法可以更普遍地应用于将任何个人的激活模式与一组其他个人的激活模式进行比较。

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