InBrain, Department of Physics, FFCLRP, University of Sao Paulo, Av. Bandeirantes, Ribeirao Preto, Sao Paulo, 3900, 14040-901, Brazil.
Brain Topogr. 2024 Nov;37(6):1043-1054. doi: 10.1007/s10548-024-01059-x. Epub 2024 Jun 5.
Semantic verbal fluency (SVF) impairment is present in several neurological disorders. Although activation in SVF-related areas has been reported, how these regions are connected and their functional roles in the network remain divergent. We assessed SVF static and dynamic functional connectivity (FC) and effective connectivity in healthy participants using functional magnetic resonance imaging. We observed activation in the inferior frontal (IFG), middle temporal (pMTG) and angular gyri (AG), anterior cingulate (AC), insular cortex, and regions of the superior, middle, and medial frontal gyri (SFG, MFG, MidFG). Our static FC analysis showed a highly interconnected task and resting state network. Increased connectivity of AC with the pMTG and AG was observed for the task. The dynamic FC analysis provided circuits with connections similarly modulated across time and regions related to category identification, language comprehension, word selection and recovery, word generation, inhibition of speaking, speech planning, and articulatory planning of orofacial movements. Finally, the effective connectivity analysis provided a network that best explained our data, starting at the AG and going to the pMTG, from which there was a division between the ventral and dorsal streams. The SFG and MFG regions were connected and modulated by the MidFG, while the inferior regions formed the ventral stream. Therefore, we successfully assessed the SVF network, exploring regions associated with the entire processing, from category identification to word generation. The methodological approach can be helpful for further investigation of the SVF network in neurological disorders.
语义流畅性障碍(SVF)存在于多种神经疾病中。尽管已有研究报道了与 SVF 相关的区域的激活情况,但这些区域如何连接以及它们在网络中的功能角色仍存在分歧。我们使用功能磁共振成像评估了健康参与者的 SVF 静态和动态功能连接(FC)和有效连接。我们观察到下额(IFG)、中颞(pMTG)和角回(AG)、前扣带(AC)、岛叶皮层以及额上、中、内侧回(SFG、MFG、MidFG)的激活。我们的静态 FC 分析显示出高度相互连接的任务和静息状态网络。任务时观察到 AC 与 pMTG 和 AG 的连接增加。动态 FC 分析提供了连接相似的电路,这些连接在时间和区域上都与类别识别、语言理解、单词选择和恢复、单词生成、抑制说话、言语计划和口面部运动的发音计划有关。最后,有效连接分析提供了一个能够最好地解释我们数据的网络,该网络从 AG 开始,到达 pMTG,然后从那里分为腹侧和背侧流。SFG 和 MFG 区域与 MidFG 相连并受到其调节,而下部区域形成了腹侧流。因此,我们成功评估了 SVF 网络,探索了与整个处理过程相关的区域,从类别识别到单词生成。该方法学方法可有助于进一步研究神经疾病中的 SVF 网络。