Department of Complex and Intelligent Systems, School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido 041-8655, Japan.
Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan.
Cereb Cortex. 2021 Jul 29;31(9):4329-4339. doi: 10.1093/cercor/bhab089.
Convergent evidence has demonstrated that semantics are represented by the interaction between a multimodal semantic hub at the anterior temporal lobe (ATL) and other modality-specific association cortical areas. Electrocorticogram (ECoG) recording with high spatiotemporal resolutions is efficient in evaluating such cortical interactions; however, this has not been a focus of preceding studies. The present study evaluated cortical interactions during picture naming using a novel ECoG cross-spectrum analysis, which was formulated from a computational simulation of neuronal networks and combined with a vector space model of semantics. The results clarified three types of frequency-dependent cortical networks: 1) an earlier-period (0.2-0.8 s from stimulus onset) high-gamma-band (90-150 Hz) network with a hub at the posterior fusiform gyrus, 2) a later-period (0.4-1.0 s) beta-band (15-40 Hz) network with multiple hubs at the ventral ATL and posterior middle temporal gyrus, and 3) a pre-articulation theta-band (4-7 Hz) network distributed over widely located cortical regions. These results suggest that frequency-dependent cortical interactions can characterize the underlying processes of semantic cognition, and the beta-band network with a hub at the ventral ATL is especially associated with the formation of semantic representation.
已有大量证据表明,语义是由前颞叶(ATL)的多模态语义中枢与其他模态特异性联合皮质区之间的相互作用来表示的。具有高时空分辨率的脑电描记术(ECoG)记录在评估这种皮质相互作用方面非常有效;然而,这并不是之前研究的重点。本研究使用一种新颖的 ECoG 互谱分析来评估图片命名过程中的皮质相互作用,该分析是从神经元网络的计算模拟中得出的,并结合了语义的向量空间模型。研究结果阐明了三种依赖于频率的皮质网络:1) 一个早期(刺激开始后 0.2-0.8 秒)高伽马频带(90-150Hz)网络,其枢纽位于后梭状回;2) 一个后期(0.4-1.0 秒)β频带(15-40Hz)网络,其多个枢纽位于腹侧 ATL 和后颞中回;3) 一个预发音θ频带(4-7Hz)网络,分布在广泛的皮质区域。这些结果表明,依赖于频率的皮质相互作用可以描述语义认知的潜在过程,并且腹侧 ATL 处的β频带网络与语义表征的形成尤其相关。