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语义性痴呆揭示的语义白质模块-枢纽网络

The White Matter Module-Hub Network of Semantics Revealed by Semantic Dementia.

作者信息

Sundqvist Martina, Routier Alexandre, Dubois Bruno, Colliot Olivier, Teichmann Marc

机构信息

Institut du Cerveau et de la Moelle épinière (ICM), FrontLab team, Paris, France.

Inserm, U 1127, Paris, France.

出版信息

J Cogn Neurosci. 2020 Jul;32(7):1330-1347. doi: 10.1162/jocn_a_01549. Epub 2020 Feb 21.

Abstract

Cognitive neuroscience exploring the architecture of semantics has shown that coherent supramodal concepts are computed in the anterior temporal lobes (ATL), but it is unknown how/where modular information implemented by posterior cortices (word/object/face forms) is conveyed to the ATL hub. We investigated the semantic module-hub network in healthy adults ( = 19) and in semantic dementia patients ( = 28) by combining semantic assessments of verbal and nonverbal stimuli and MRI-based fiber tracking using seeds in three module-related cortices implementing (i) written word forms (visual word form area), (ii) abstract lexical representations (posterior-superior temporal cortices), and (iii) face/object representations (face form area). Fiber tracking revealed three key tracts linking the ATL with the three module-related cortices. Correlation analyses between tract parameters and semantic scores indicated that the three tracts subserve semantics, transferring modular verbal or nonverbal object/face information to the left and right ATL, respectively. The module-hub tracts were functionally and microstructurally damaged in semantic dementia, whereas damage to non-module-specific ATL tracts (inferior longitudinal fasciculus, uncinate fasciculus) had more limited impact on semantic failure. These findings identify major components of the white matter module-hub network of semantics, and they corroborate/materialize claims of cognitive models positing direct links between modular and semantic representations. In combination with modular accounts of cognition, they also suggest that the currently prevailing "hub-and-spokes" model of semantics could be extended by incorporating an intermediate module level containing invariant representations, in addition to "spokes," which subserve the processing of a near-unlimited number of sensorimotor and speech-sound features.

摘要

探索语义结构的认知神经科学研究表明,连贯的超模态概念是在前颞叶(ATL)中计算得出的,但目前尚不清楚后皮质(单词/物体/面部形式)所实现的模块化信息是如何/在何处传递至ATL枢纽的。我们通过结合对言语和非言语刺激的语义评估以及基于MRI的纤维束追踪技术,对19名健康成年人及28名语义性痴呆患者的语义模块-枢纽网络进行了研究,纤维束追踪的种子点位于三个与模块相关的皮质区域,分别为:(i)书面单词形式(视觉词形区),(ii)抽象词汇表征(后上颞叶皮质),以及(iii)面部/物体表征(面部形式区)。纤维束追踪揭示了三条连接ATL与三个与模块相关皮质的关键纤维束。纤维束参数与语义分数之间的相关性分析表明,这三条纤维束分别将模块化的言语或非言语物体/面部信息传递至左右ATL,从而服务于语义。在语义性痴呆中,模块-枢纽纤维束在功能和微观结构上均受到损害,而对非模块特异性的ATL纤维束(下纵束、钩束)的损害对语义缺失的影响则较为有限。这些发现确定了语义白质模块-枢纽网络的主要组成部分,并证实/具体化了认知模型中关于模块化与语义表征之间存在直接联系的观点。结合认知的模块化观点,这些发现还表明,当前流行的语义“中心-辐条”模型可以通过纳入一个包含不变表征的中间模块层次进行扩展,除了“辐条”之外,该层次还服务于对几乎无限数量的感觉运动和语音特征的处理。

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