Xia Jie, Yang Siqi, Li Jiao, Meng Yao, Niu Jinpeng, Chen Huafu, Zhang Zhiqiang, Liao Wei
The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
BMC Med. 2025 May 2;23(1):258. doi: 10.1186/s12916-025-04099-7.
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).
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.
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.
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.
遗传性全身性癫痫的特征是在解剖学上分布的脑区出现短暂的自发性异常神经活动,最终扩散到更广泛的区域。然而,塑造这些异常的基于连接组的机制在很大程度上仍不清楚。我们旨在研究正常结构连接组如何限制遗传性全身性癫痫伴全身强直阵挛发作(GGE-GTCS)中异常脑活动的传播。
通过静息态功能磁共振成像测量的低频波动幅度,估计GGE-GTCS患者(n = 97)和健康对照者(n = 141)之间的异常瞬态活动模式。正常结构连接组来自于在一组独立的健康成年人(n = 326)中获取的扩散加权图像。应用结构邻域分析来评估活动易损性与结构连接组之间的限制程度。优势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扩散并识别潜在的疾病中心。
GGE-GTCS患者的脑活动异常主要位于颞叶、扣带回、前额叶和顶叶皮质。结构相连邻居的集体异常显著预测了区域活动异常,表明白质网络结构限制了异常活动模式。分子指纹,特别是层状分化和神经递质受体谱,构成了这些受连接组限制的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瞬态病理活动传播模式,将边缘颞叶、背外侧前额叶和枕叶皮质确定为假定的疾病中心。这些结果在不同临床因素和个体患者中均具有稳健性。
我们的研究结果表明,结构连接组塑造了脑活动异常的空间模式,加深了我们对GGE-GTCS中异常脑活动起始和传播易感性的网络水平机制的理解。