Normative structural connectome constrains spreading transient brain activity in generalized epilepsy.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Jie Xia, Siqi Yang, Jiao Li, Yao Meng, Jinpeng Niu, Huafu Chen, Zhiqiang Zhang, Wei Liao
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引用次数: 0

Abstract

Background: Genetic generalized epilepsy is characterized by transient episodes of spontaneous abnormal neural activity in anatomically distributed brain regions that ultimately propagate to wider areas. However, the connectome-based mechanisms shaping these abnormalities remain largely unknown. We aimed to investigate how the normative structural connectome constrains abnormal brain activity spread in genetic generalized epilepsy with generalized tonic-clonic seizure (GGE-GTCS).

Methods: Abnormal transient activity patterns between individuals with GGE-GTCS (n = 97) and healthy controls (n = 141) were estimated from the amplitude of low-frequency fluctuations measured by resting-state functional MRI. The normative structural connectome was derived from diffusion-weighted images acquired in an independent cohort of healthy adults (n = 326). Structural neighborhood analysis was applied to assess the degree of constraints between activity vulnerability and structural connectome. Dominance analysis was used to determine the potential molecular underpinnings of these constraints. Furthermore, a network-based diffusion model was utilized to simulate the spread of pathology and identify potential disease epicenters.

Results: Brain activity abnormalities among patients with GGE-GTCS were primarily located in the temporal, cingulate, prefrontal, and parietal cortices. The collective abnormality of structurally connected neighbors significantly predicted regional activity abnormality, indicating that white matter network architecture constrains aberrant activity patterns. Molecular fingerprints, particularly laminar differentiation and neurotransmitter receptor profiles, constituted key predictors of these connectome-constrained activity abnormalities. Network-based diffusion modeling effectively replicated transient pathological activity spreading patterns, identifying the limbic-temporal, dorsolateral prefrontal, and occipital cortices as putative disease epicenters. These results were robust across different clinical factors and individual patients.

Conclusions: Our findings suggest that the structural connectome shapes the spatial patterning of brain activity abnormalities, advancing our understanding of the network-level mechanisms underlying vulnerability to abnormal brain activity onset and propagation in GGE-GTCS.

规范结构连接体限制广泛性癫痫的扩散性短暂性脑活动。
背景:遗传性全身性癫痫的特点是在解剖分布的大脑区域发生短暂的自发性异常神经活动,并最终传播到更广泛的区域。然而,形成这些异常的基于连接体的机制在很大程度上仍然未知。我们的目的是研究在遗传性全身性癫痫伴全身性强直-阵挛发作(gg - gtcs)中,规范结构连接体如何限制异常脑活动的传播。方法:通过静息状态功能MRI测量的低频波动幅度来估计gg - gtcs患者(n = 97)和健康对照(n = 141)之间的异常瞬态活动模式。规范结构连接体来源于健康成人独立队列(n = 326)中获得的弥散加权图像。结构邻域分析用于评估活动脆弱性与结构连接体之间的约束程度。优势度分析用于确定这些限制的潜在分子基础。此外,利用基于网络的扩散模型来模拟病理传播并识别潜在的疾病中心。结果:gg - gtcs患者的脑活动异常主要位于颞、扣带、前额叶和顶叶皮层。结构连接邻居的集体异常显著预测区域活动异常,表明白质网络结构约束异常活动模式。分子指纹图谱,特别是层流分化和神经递质受体谱,构成了这些连接体受限活动异常的关键预测因子。基于网络的扩散模型有效地复制了短暂的病理活动扩散模式,确定了边缘颞叶、背外侧前额叶和枕叶皮层作为假定的疾病中心。这些结果在不同的临床因素和个体患者中都是稳健的。结论:我们的研究结果表明,结构连接组塑造了大脑活动异常的空间模式,促进了我们对gg - gtcs异常大脑活动发生和传播易感性的网络层面机制的理解。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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