Bozic Mirjana, Fonteneau Elisabeth, Su Li, Marslen-Wilson William D
Department of Psychology, University of Cambridge, Downing Street, Cambridge,, United Kingdom; MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge, United Kingdom.
Hum Brain Mapp. 2015 Mar;36(3):1190-201. doi: 10.1002/hbm.22696. Epub 2014 Nov 24.
Language processing engages large-scale functional networks in both hemispheres. Although it is widely accepted that left perisylvian regions have a key role in supporting complex grammatical computations, patient data suggest that some aspects of grammatical processing could be supported bilaterally. We investigated the distribution and the nature of grammatical computations across language processing networks by comparing two types of combinatorial grammatical sequences--inflectionally complex words and minimal phrases--and contrasting them with grammatically simple words. Novel multivariate analyses revealed that they engage a coalition of separable subsystems: inflected forms triggered left-lateralized activation, dissociable into dorsal processes supporting morphophonological parsing and ventral, lexically driven morphosyntactic processes. In contrast, simple phrases activated a consistently bilateral pattern of temporal regions, overlapping with inflectional activations in L middle temporal gyrus. These data confirm the role of the left-lateralized frontotemporal network in supporting complex grammatical computations. Critically, they also point to the capacity of bilateral temporal regions to support simple, linear grammatical computations. This is consistent with a dual neurobiological framework where phylogenetically older bihemispheric systems form part of the network that supports language function in the modern human, and where significant capacities for language comprehension remain intact even following severe left hemisphere damage.
语言处理涉及大脑两半球的大规模功能网络。尽管人们普遍认为左颞周区域在支持复杂语法计算方面起关键作用,但患者数据表明语法处理的某些方面可能由双侧大脑支持。我们通过比较两种组合语法序列——屈折复杂词和最简短语,并将它们与语法简单词进行对比,研究了语法计算在语言处理网络中的分布和性质。新颖的多变量分析表明,它们涉及一组可分离的子系统:屈折形式引发左侧化激活,可分为支持形态音位解析的背侧过程和由词汇驱动的腹侧形态句法过程。相比之下,简单短语激活了颞区持续的双侧模式,与左颞中回的屈折激活区域重叠。这些数据证实了左侧化额颞网络在支持复杂语法计算中的作用。至关重要的是,它们还指出双侧颞区支持简单线性语法计算的能力。这与双重神经生物学框架一致,在该框架中,系统发育上较古老的双侧半球系统构成了支持现代人类语言功能的网络的一部分,并且即使在严重的左半球损伤后,语言理解的重要能力仍保持完好。