Functional and Effective Connectivity Underlying Semantic Verbal Fluency.

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY Brain Topography Pub Date : 2024-11-01 Epub Date: 2024-06-05 DOI:10.1007/s10548-024-01059-x
Isabella Velloso Arrigo, Pedro Henrique Rodrigues da Silva, Renata Ferranti Leoni
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Abstract

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.

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语义语言流畅性的功能性和有效连接性
语义言语流畅性(SVF)障碍存在于多种神经系统疾病中。尽管有报道称 SVF 相关区域存在激活现象,但这些区域如何连接以及它们在网络中的功能作用仍存在分歧。我们使用功能磁共振成像技术评估了健康参与者 SVF 的静态和动态功能连接(FC)以及有效连接。我们观察到下额叶(IFG)、中颞叶(pMTG)和角回(AG)、前扣带回(AC)、岛叶皮层以及上、中和内侧额叶回(SFG、MFG、MidFG)区域的激活。我们的静态 FC 分析表明,任务网络和静息状态网络高度相互关联。在任务中,我们观察到 AC 与 pMTG 和 AG 的连接性增强。动态 FC 分析提供了具有类似跨时间调制的连接回路,以及与类别识别、语言理解、单词选择和恢复、单词生成、说话抑制、言语规划和口面部运动的发音规划相关的区域。最后,有效连接分析提供了一个最能解释我们的数据的网络,该网络从 AG 开始,一直延伸到 pMTG,并在此基础上划分出腹侧流和背侧流。SFG和MFG区域由MidFG连接和调节,而下部区域则形成了腹侧流。因此,我们成功地评估了 SVF 网络,探索了与从类别识别到单词生成的整个处理过程相关的区域。该方法有助于进一步研究神经系统疾病中的 SVF 网络。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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