Task-Free Functional Language Networks: Reproducibility and Clinical Application
Task-Free Functional Language Networks: Reproducibility and Clinical Application
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DOI：
10.1523/jneurosci.1485-19.2019
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发表时间：
2020-02-05
影响因子：
5.3
通讯作者：
Gorno-Tempini, Maria Luisa
中科院分区：
文献类型：
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作者：
Battistella, Giovanni;Borghesani, Valentina;Gorno-Tempini, Maria Luisa
通过无任务功能磁共振成像(TF-fMRI)识别的内在连接网络(ICN)为研究涉及语言过程的人脑回路提供了机会，而不需要参与者执行具有挑战性的认知任务。在这项研究中，我们评估了TF-fMRI分离对特定语言功能至关重要且在原发性进行性失语症(PPA)中经常受损的可复制网络的能力。首先，我们对TF-fMRI数据进行了基于全脑种子的相关性分析，以确定健康男性和女性对照组(HCS)中以发音、语音和语义加工为已知区域的ICN。然后，我们在一个独立的HCS队列中评估了这些ICN的重复性，并用基于任务的功能磁共振成像的事后荟萃分析概括了它们的功能相关性。最后，我们调查了这些ICN的萎缩是否可以帮助区分非流利/无语法的、语义的和对数的PPA变体。已识别的ICN包括涉及额叶下部和边缘上区域的背侧发音网络；涉及前、中、颞回和角回的腹侧语义网络；涉及颞上和感觉运动区的言语知觉网络；以及可能连接书面语言的视觉、语音和注意过程的后部下部颞区和顶内区之间的网络。这些ICN在独立群体中的重复性很高，并揭示了与基于任务的荟萃分析得出的结果一致的领域。通过将ICN在HCS中的空间分布与患者的萎缩模式进行比较，我们确定了ICN与每个PPA变体相关。我们的研究结果表明，在激活研究在方法学上具有挑战性的患者中，可能会使用TF-fMRI来调查语言网络的功能状态。
Intrinsic connectivity networks (ICNs) identified through task-free fMRI (tf-fMRI) offer the opportunity to investigate human brain circuits involved in language processes without requiring participants to perform challenging cognitive tasks. In this study, we assessed the ability of tf-fMRI to isolate reproducible networks critical for specific language functions and often damaged in primary progressive aphasia (PPA). First, we performed whole-brain seed-based correlation analyses on tf-fMRI data to identify ICNs anchored in regions known for articulatory, phonological, and semantic processes in healthy male and female controls (HCs). We then evaluated the reproducibility of these ICNs in an independent cohort of HCs, and recapitulated their functional relevance with a post hoc meta-analysis on task-based fMRI. Last, we investigated whether atrophy in these ICNs could inform the differential diagnosis of nonfluent/agrammatic, semantic, and logopenic PPA variants. The identified ICNs included a dorsal articulatory-phonological network involving inferior frontal and supramarginal regions; a ventral semantic network involving anterior middle temporal and angular gyri; a speech perception network involving superior temporal and sensorimotor regions; and a network between posterior inferior temporal and intraparietal regions likely linking visual, phonological, and attentional processes for written language. These ICNs were highly reproducible across independent groups and revealed areas consistent with those emerging from task-based meta-analysis. By comparing ICNs' spatial distribution in HCs with patients' atrophy patterns, we identified ICNs associated with each PPA variant. Our findings demonstrate the potential use of tf-fMRI to investigate the functional status of language networks in patients for whom activation studies can be methodologically challenging.