Oxford Centre for Computational Neuroscience, Oxford, UK; Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK; Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai 200403, China.
Department of Information and Communication Technologies, Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain; Brain and Cognition, Pompeu Fabra University, Barcelona 08018, Spain; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Passeig Lluís Companys 23, Barcelona 08010, Spain.
Neuroimage. 2022 Sep;258:119352. doi: 10.1016/j.neuroimage.2022.119352. Epub 2022 Jun 2.
To advance understanding of brain networks involved in language, the effective connectivity between 26 cortical regions implicated in language by a community analysis and 360 cortical regions was measured in 171 humans from the Human Connectome Project, and complemented with functional connectivity and diffusion tractography, all using the HCP multimodal parcellation atlas. A (semantic) network (Group 1) involving inferior cortical regions of the superior temporal sulcus cortex (STS) with the adjacent inferior temporal visual cortex TE1a and temporal pole TG, and the connected parietal PGi region, has effective connectivity with inferior temporal visual cortex (TE) regions; with parietal PFm which also has visual connectivity; with posterior cingulate cortex memory-related regions; with the frontal pole, orbitofrontal cortex, and medial prefrontal cortex; with the dorsolateral prefrontal cortex; and with 44 and 45 for output regions. It is proposed that this system can build in its temporal lobe (STS and TG) and parietal parts (PGi and PGs) semantic representations of objects incorporating especially their visual and reward properties. Another (semantic) network (Group 3) involving superior regions of the superior temporal sulcus cortex and more superior temporal lobe regions including STGa, auditory A5, TPOJ1, the STV and the Peri-Sylvian Language area (PSL) has effective connectivity with auditory areas (A1, A4, A5, Pbelt); with relatively early visual areas involved in motion, e.g., MT and MST, and faces/words (FFC); with somatosensory regions (frontal opercular FOP, insula and parietal PF); with other TPOJ regions; and with the inferior frontal gyrus regions (IFJa and IFSp). It is proposed that this system builds semantic representations specialising in auditory and related facial motion information useful in theory of mind and somatosensory / body image information, with outputs directed not only to regions 44 and 45, but also to premotor 55b and midcingulate premotor cortex. Both semantic networks (Groups 1 and 3) have access to the hippocampal episodic memory system via parahippocampal TF. A third largely frontal network (Group 2) (44, 45, 47l; 55b; the Superior Frontal Language region SFL; and including temporal pole TGv) receives effective connectivity from the two semantic systems, and is implicated in syntax and speech output.
为了深入了解语言相关的脑网络,本研究使用 HCP 多模态分割图谱,对社区分析中涉及语言的 26 个皮质区和 360 个皮质区之间的有效连接进行了测量,该研究共纳入了 171 名来自人类连接组计划(HCP)的个体,并补充了功能连接和扩散轨迹分析。一个(语义)网络(第 1 组)涉及颞上沟皮质(STS)下部皮质区域、相邻的颞下视觉皮质 TE1a 和颞极 TG,以及连接的顶下皮质 PGi 区域,与颞下视觉皮质(TE)区域具有有效连接;与也具有视觉连接的顶下皮质 PFm 具有有效连接;与后扣带皮层记忆相关区域具有有效连接;与额极、眶额皮质和内侧前额叶皮质具有有效连接;与背外侧前额叶皮质具有有效连接;与输出区域 44 和 45 具有有效连接。据提议,该系统可以在其颞叶(STS 和 TG)和顶叶部分(PGi 和 PGs)构建对象的语义表示,这些对象特别包含其视觉和奖励属性。另一个(语义)网络(第 3 组)涉及颞上沟皮质的上部区域和更上部的颞叶区域,包括 STGa、听觉 A5、TPOJ1、STV 和周围语言区(PSL),与听觉区域(A1、A4、A5、Pbelt)具有有效连接;与涉及运动的相对早期视觉区域,例如 MT 和 MST,以及面孔/词语(FFC)具有有效连接;与躯体感觉区域(额眶部 FOP、脑岛和顶下皮质 PF)具有有效连接;与其他 TPOJ 区域具有有效连接;与额下回皮质区域(IFJa 和 IFSp)具有有效连接。据提议,该系统构建专门针对听觉和相关面部运动信息的语义表示,这在心智理论和躯体感觉/身体意象信息中很有用,输出不仅指向区域 44 和 45,还指向运动前皮质 55b 和中扣带回运动前皮质。两个语义网络(第 1 组和第 3 组)都通过海马体的情景记忆系统访问旁海马体 TF。第三个主要的额皮质网络(第 2 组)(44、45、47l;55b;额上语言区 SFL;包括颞极 TGv)从两个语义系统接收有效连接,并与语法和言语输出有关。