McGovern Institute for Brain Research, MIT, 43 Vassar Street, Cambridge, MA 02139, USA.
Brain Lang. 2012 Feb;120(2):187-207. doi: 10.1016/j.bandl.2011.01.001. Epub 2011 Feb 18.
For every claim in the neuroimaging literature about a particular brain region supporting syntactic processing, there exist other claims implicating the target region in different linguistic processes, and, in many cases, in non-linguistic cognitive processes (e.g., Blumstein, 2009). We argue that traditional group analysis methods in neuroimaging may obscure functional specificity because of inter-subject anatomical variability (Fedorenko & Kanwisher, 2009). In Fedorenko, Hsieh, Nieto-Castanon, Whitfield-Gabrieli, and Kanwisher (2010) we presented a functional localizer that allows quick and reliable identification of key language-sensitive regions in each individual brain. This approach enables pooling data from corresponding functional regions across subjects rather than from the same locations in stereotaxic space that may differ functionally due to inter-subject anatomical variability. In the current paper we demonstrate that the individual-subjects functional localization approach is superior to the traditional methods in its ability to distinguish among conditions in a brain region's response. This ability is at the core of all neuroimaging research and is critical for answering questions of functional specialization (e.g., does a brain region specialize for processing syntactic aspects of the linguistic signal), which is in turn essential for making inferences about the precise computations conducted in each brain region. Based on our results, we argue that supplementing existing methods with an individual-subjects functional localization approach may lead to a clearer picture of the neural basis of syntactic processing, as it has in some other domains, such as high-level vision (e.g., Kanwisher, 2010) and social cognition (e.g., Saxe & Kanwisher, 2003).
对于神经影像学文献中关于特定脑区支持句法处理的每一个主张,都存在其他主张暗示目标区域参与不同的语言过程,并且在许多情况下,还参与非语言认知过程(例如,Blumstein,2009)。我们认为,神经影像学中的传统组分析方法可能会因为受试者间的解剖结构差异而掩盖功能特异性(Fedorenko & Kanwisher,2009)。在 Fedorenko、Hsieh、Nieto-Castanon、Whitfield-Gabrieli 和 Kanwisher(2010)的研究中,我们提出了一种功能定位器,可以快速可靠地确定每个个体大脑中的关键语言敏感区域。这种方法可以从跨受试者的相应功能区域中汇总数据,而不是从由于受试者间解剖结构差异而在功能上可能不同的立体空间中的相同位置汇总数据。在当前的论文中,我们证明了个体受试者功能定位方法在区分大脑区域反应中的条件方面优于传统方法。这种能力是所有神经影像学研究的核心,对于回答功能专业化的问题至关重要(例如,大脑区域是否专门用于处理语言信号的句法方面),这对于推断每个大脑区域中进行的精确计算也至关重要。基于我们的结果,我们认为,通过个体受试者功能定位方法补充现有的方法可能会更清楚地了解句法处理的神经基础,就像在其他一些领域(例如高级视觉(例如,Kanwisher,2010)和社会认知(例如,Saxe & Kanwisher,2003))一样。