New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects
New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects
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DOI：
10.1152/jn.00032.2010
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发表时间：
2010-08-01
影响因子：
2.5
通讯作者：
Kanwisher, Nancy
中科院分区：
文献类型：
--
作者：
Fedorenko, Evelina;Hsieh, Po-Jang;Kanwisher, Nancy
杨志华，李志华.语言功能磁共振成像研究的新方法：在个体受试者中功能性地定义ROI。神经生理学杂志104：1177-1194，2010年。首次发表于2010年4月21日; doi：10.1152/jn.00032.2010。以前的神经影像学研究已经确定了一些对语言处理的不同方面敏感的大脑区域，但这些区域的精确功能表征已被证明具有挑战性。我们假设，更清晰的功能特异性可能会出现，如果候选的语言敏感区域的功能，确定在每个科目单独，一种方法，揭示了惊人的视觉皮层的功能特异性，但很少被应用到语言的神经影像学研究。该方法使得能够汇集来自受试者之间的相应功能区域而不是来自立体定位空间中的相应位置（由于受试者之间的解剖变异性，其可能在功能上不同）的数据。然而，这种方法是否有效远不是先验的，因为它需要满足多个严格的条件。具体而言，候选语言敏感脑区必须在短扫描中在个体受试者内是功能上可识别的，必须在受试者内是可复制的，并且在受试者之间具有明确的对应关系，并且必须表现出语言处理的关键特征（例如，对句子的反应比对非单词串的反应更高，无论是视觉的还是听觉的）。我们在这里表明，这种方法确实有效：我们确定了13个符合这些标准的候选语言敏感区域，每个区域都存在于>= 80%的个体中。使用我们的方法，这些区域的选择性比在相同数据上进行标准组分析时更强，这表明这种方法的未来应用可能会揭示出比以前的语言神经影像学研究更明显的功能特异性。
Fedorenko E, Hsieh PJ, Nieto-Castanon A, Whitfield-Gabrieli S, Kanwisher N. New method for fMRI investigations of language: defining ROIs functionally in individual subjects. J Neurophysiol 104: 1177-1194, 2010. First published April 21, 2010; doi:10.1152/jn.00032.2010. Previous neuroimaging research has identified a number of brain regions sensitive to different aspects of linguistic processing, but precise functional characterization of these regions has proven challenging. We hypothesize that clearer functional specificity may emerge if candidate language-sensitive regions are identified functionally within each subject individually, a method that has revealed striking functional specificity in visual cortex but that has rarely been applied to neuroimaging studies of language. This method enables pooling of data from corresponding functional regions across subjects rather than from corresponding locations in stereotaxic space (which may differ functionally because of the anatomical variability across subjects). However, it is far from obvious a priori that this method will work as it requires that multiple stringent conditions be met. Specifically, candidate language-sensitive brain regions must be identifiable functionally within individual subjects in a short scan, must be replicable within subjects and have clear correspondence across subjects, and must manifest key signatures of language processing (e.g., a higher response to sentences than nonword strings, whether visual or auditory). We show here that this method does indeed work: we identify 13 candidate language-sensitive regions that meet these criteria, each present in >= 80% of subjects individually. The selectivity of these regions is stronger using our method than when standard group analyses are conducted on the same data, suggesting that the future application of this method may reveal clearer functional specificity than has been evident in prior neuroimaging research on language.