Altered topology of the functional speech production network in non-fluent/agrammatic variant of PPA.

Altered topology of the functional speech production network in non-fluent/agrammatic variant of PPA.
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DOI:
10.1016/j.cortex.2018.08.002
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发表时间:
2018-11
期刊:
Cortex; a journal devoted to the study of the nervous system and behavior
影响因子:
--
通讯作者:
Gorno-Tempini ML
Gorno-Tempini ML
中科院分区:
其他
文献类型:
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作者:
Mandelli ML;Welch AE;Vilaplana E;Watson C;Battistella G;Brown JA;Possin KL;Hubbard HI;Miller ZA;Henry ML;Marx GA;Santos-Santos MA;Bajorek LP;Fortea J;Boxer A;Rabinovici G;Lee S;Deleon J;Rosen HJ;Miller BL;Seeley WW;Gorno-Tempini ML

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非流利性/无语法原发进行性失语(NfvPPA)是由左额叶岛叶言语和语言产生网络(SPN)内的神经变性引起的。图论是数学的一个分支,通过根据网络元素(节点和连接)量化特征来研究网络体系结构(拓扑)。这一方法最近已被应用于神经成像数据,以探索大脑连接体的复杂结构,尽管很少有研究在PPA中利用这一技术。在这里,我们使用图论对来自20名nfvPPA患者和20名匹配对照的功能磁共振静息状态数据进行研究,以研究局灶性神经变性引起的拓扑变化。我们假设网络体系结构中的更改将特定于nfvPPA中受影响的SPN,而保留在备用默认模式网络(DMN)中。通过集线器位置和全球网络指标来量化拓扑配置。我们的发现显示,SPN的连线效率较低,集群也较差,而DMN没有检测到任何变化。NfvPPA组SPN表现为左侧额顶颞区中枢消失,左侧前部、左侧下部和右侧额部出现新的关键结节。在行为上,言语产生分数和规则违反错误分别与左侧(丢失)和右侧(新)区域的功能连接强度相关。这项研究表明,nfvPPA中SPN内的局灶性神经变性与网络特有的拓扑变化有关,与关键中枢的丧失和获得以及整体效率降低有关,这些变化更好地通过功能变化而不是结构变化来解释。这些发现支持nfvPPA选择性网络易损性的假说,并可能为未来的行为干预提供生物标志物。
Non-fluent/agrammatic primary progressive aphasia (nfvPPA) is caused by neurodegeneration within the left fronto-insular speech and language production network (SPN). Graph theory is a branch of mathematics that studies network architecture (topology) by quantifying features based on its elements (nodes and connections). This approach has been recently applied to neuroimaging data to explore the complex architecture of the brain connectome, though few studies have exploited this technique in PPA. Here, we used graph theory on functional MRI resting state data from a group of 20 nfvPPA patients and 20 matched controls to investigate topological changes in response to focal neurodegeneration. We hypothesized that changes in the network architecture would be specific to the affected SPN in nfvPPA, while preserved in the spared default mode network (DMN). Topological configuration was quantified by hub location and global network metrics. Our findings showed a less efficiently wired and less optimally clustered SPN, while no changes were detected in the DMN. The SPN in the nfvPPA group showed a loss of hubs in the left fronto-parietal-temporal area and new critical nodes in the anterior left inferior-frontal and right frontal regions. Behaviorally, speech production score and rule violation errors correlated with the strength of functional connectivity of the left (lost) and right (new) regions respectively. This study shows that focal neurodegeneration within the SPN in nfvPPA is associated with network-specific topological alterations, with the loss and gain of crucial hubs and decreased global efficiency that were better accounted for through functional rather than structural changes. These findings support the hypothesis of selective network vulnerability in nfvPPA and may offer biomarkers for future behavioral intervention.
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