Josse Goulven, Kherif Ferath, Flandin Guillaume, Seghier Mohamed L, Price Cathy J
Wellcome Trust Centre for Neuroimaging, UCL, London, United Kingdom.
J Neurosci. 2009 Oct 28;29(43):13516-23. doi: 10.1523/JNEUROSCI.1680-09.2009.
It has long been predicted that the degree to which language is lateralized to the left or right hemisphere might be reflected in the underlying brain anatomy. We investigated this relationship on a voxel-by-voxel basis across the whole brain using structural and functional magnetic resonance images from 86 healthy participants. Structural images were converted to gray matter probability images, and language activation was assessed during naming and semantic decision. All images were spatially normalized to the same symmetrical template, and lateralization images were generated by subtracting right from left hemisphere signal at each voxel. We show that the degree to which language was left or right lateralized was positively correlated with the degree to which gray matter density was lateralized. Post hoc analyses revealed a general relationship between gray matter probability and blood oxygenation level-dependent signal. This is the first demonstration that structural brain scans can be used to predict language lateralization on a voxel-by-voxel basis in the normal healthy brain.
长期以来，人们一直预测语言在左半球或右半球的偏侧化程度可能反映在潜在的脑解剖结构中。我们使用来自86名健康参与者的结构和功能磁共振图像，在全脑范围内逐体素地研究了这种关系。结构图像被转换为灰质概率图像，并在命名和语义判断过程中评估语言激活情况。所有图像都在空间上归一化到同一个对称模板，通过从每个体素的左半球信号中减去右半球信号来生成偏侧化图像。我们发现语言的左偏或右偏程度与灰质密度的偏侧化程度呈正相关。事后分析揭示了灰质概率与血氧水平依赖信号之间的一般关系。这是首次证明在正常健康大脑中，结构脑扫描可以用于逐体素地预测语言偏侧化。
