Motor and default mode network states of rest in frontal lobe epilepsy

Q4 Neuroscience
Tahereh Rashnavadi , Raphael F. Casseb , Kristine E. Woodward , Paolo Federico , Bradley Goodyear
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引用次数: 0

Abstract

Frontal lobe epilepsy (FLE), marked by recurrent seizures arising from the frontal lobes, can significantly impair cognitive and motor function, reducing quality of life. Recent studies suggest that epilepsies can involve functional networks throughout the brain that can be identified using resting-state functional magnetic resonance imaging (fMRI). In this study, we aimed to determine whether FLE is associated with a distinct functional network brain states. Using dynamic functional connectivity analysis in combination with k-means clustering, we investigated dynamic connectivity patterns of the somatomotor network (SMN) and default mode network (DMN) of ten right-hemisphere and six left-hemisphere FLE patients, as well as nine healthy controls. We found two distinct states of rest for both the SMN and DMN: a high connectivity state and a lower, more variable connectivity state that was often specific to individual patients. Both FLE groups showed reduced overall connectivity compared to controls, with the greatest differences emerging during the low connectivity state. Right FLE patients and controls exhibited relatively uniform reductions, whereas left FLE patients showed spatially specific disruptions, including reduced lateral-to-medial SMN connectivity and decreased connectivity in posterior and left-lateralized DMN regions. Our findings suggest that dynamic connectivity analysis can uncover the temporal complexity and patient-specific nature of brain network disruption in FLE, supporting the development of personalized diagnostic and treatment strategies. Further research with larger cohorts is necessary to validate these results and explore additional factors affecting brain functional connectivity.
额叶癫痫的静止运动和默认模式网络状态
额叶癫痫(FLE),其特征是由额叶引起的反复发作,可严重损害认知和运动功能,降低生活质量。最近的研究表明,癫痫可能涉及整个大脑的功能网络,可以使用静息状态功能磁共振成像(fMRI)来识别。在这项研究中,我们旨在确定FLE是否与不同的功能网络脑状态相关。采用动态功能连接分析与k-means聚类相结合的方法,研究了10例右半球和6例左半球FLE患者以及9例健康对照者的躯体运动网络(SMN)和默认模式网络(DMN)的动态连接模式。我们发现SMN和DMN都有两种不同的休息状态:高连接状态和低连接状态,更可变的连接状态通常是针对个体患者的。与对照组相比,两个FLE组的整体连通性都有所降低,在低连通性状态下出现最大差异。右侧FLE患者和对照组表现出相对均匀的减少,而左侧FLE患者表现出空间特异性的破坏,包括侧侧到内侧SMN连通性减少,后部和左侧DMN区域的连通性减少。我们的研究结果表明,动态连接分析可以揭示FLE中大脑网络中断的时间复杂性和患者特异性,从而支持个性化诊断和治疗策略的发展。进一步的研究需要更大的队列来验证这些结果,并探索影响大脑功能连接的其他因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuroimage. Reports
Neuroimage. Reports Neuroscience (General)
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
87 days
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