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采用弥散加权 MRI 连接组学对言语和非言语认知障碍进行定量表型分析:左侧半球癫痫患儿拥挤效应的初步研究。

Quantitative phenotyping of verbal and non-verbal cognitive impairment using diffusion-weighted MRI connectome: Preliminary study of the crowding effect in children with left hemispheric epilepsy.

机构信息

Department of Pediatrics, Wayne State University, Detroit, MI, United States; Translational Imaging Laboratory, University Health Center, Detroit, MI, United States; Department of Neurology, Wayne State University, Detroit, MI, United States; Translational Neuroscience Program, Wayne State University, Detroit, MI, United States.

Department of Pediatrics, Wayne State University, Detroit, MI, United States; Translational Imaging Laboratory, University Health Center, Detroit, MI, United States.

出版信息

Epilepsy Behav. 2024 Nov;160:110009. doi: 10.1016/j.yebeh.2024.110009. Epub 2024 Sep 5.

Abstract

The "crowding" effect (CE), wherein verbal functions are preserved presumably at the expense of nonverbal functions, which diminish following inter-hemispheric transfer of language functions, is recognized as a specific aspect of functional reorganization, offering an insight about neural plasticity in children with neural insult to the dominant hemisphere. CE is hypothesized as a marker for language preservation or improvement after left-hemispheric injury, yet it remains challenging to fully discern it in preoperative evaluation. We present a novel DWI connectome (DWIC) approach to predict the presence of CE in 24 drug-resistant epilepsy (DRE) patients with a left-hemispheric focus and 29 young healthy controls. Psychometry-driven DWIC analysis was applied to create verbal and non-verbal modular networks. Local efficiency (LE) was assessed at individual regions of the two networks and its Z-score was compared to predict the presence of CE. Compared with a traditional organization (TO) group, wherein verbal functions are adversely affected, while non-verbal functions are preserved, the CE group showed significantly higher Z-scores in verbal network and significantly lower Z-scores in non-verbal network, corresponding to network reorganization in CE. A larger number of antiseizure drugs was significantly associated with more decreased Z-score in the right non-verbal network of the CE group and left verbal network of the TO group. These findings hold great potential to identify DRE patients whose verbal/language skills may over time be preserved due to effective inter-hemispheric reorganization and identify those whose verbal/language impairments may persist due to lack of inter-hemispheric reorganization.

摘要

“拥挤”效应(CE)是指语言功能得到保留,而代价是非语言功能的下降,这是语言功能在大脑两半球间转移后的一种特定的功能重组现象,为大脑优势半球受到神经损伤的儿童的神经可塑性提供了一个见解。CE 被假设为左半球损伤后语言保留或改善的标志物,但在术前评估中很难完全识别它。我们提出了一种新的弥散张量成像连接组学(DWIC)方法,以预测 24 例左半球病灶的耐药性癫痫(DRE)患者和 29 例年轻健康对照者中 CE 的存在。基于心理计量学的 DWIC 分析被应用于创建言语和非言语模块网络。评估两个网络中个体区域的局部效率(LE),并将其 Z 分数与预测 CE 的存在进行比较。与传统组织(TO)组相比,CE 组的言语网络 Z 分数显著较高,而非言语网络 Z 分数显著较低,这与 CE 中的网络重组相对应。CE 组的右非言语网络和 TO 组的左言语网络中抗癫痫药物数量的增加与 Z 分数的降低显著相关。这些发现有可能识别出由于有效的大脑两半球间重组而随着时间推移可能保留言语/语言技能的 DRE 患者,并识别出由于缺乏大脑两半球间重组而可能持续存在言语/语言障碍的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e35/11560517/eedc1890f531/nihms-2022574-f0001.jpg

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