Lu Qin, Liya Pan, Zirong Chen, Qin Zhou, Xia Zhou, Jinou Zheng
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引用次数: 0
Abstract
Objective: Temporal lobe epilepsy (TLE) patients often exhibit varying degrees of cognitive impairments. This study aims to predict cognitive performance in TLE patients by applying a connectome-based predictive model (CPM) to whole-brain resting-state functional connectivity (RSFC) data.
Methods: A CPM was established and leave-one-out cross-validation was employed to decode the cognitive performance of patients with TLE based on the whole-brain RSFC.
Results: Our findings indicate that cognitive performance in TLE can be predicted through the internal and network connections of the parietal lobe, limbic lobe, and cerebellum systems. These systems play crucial roles in cognitive control, emotion processing, and social perception and communication, respectively. In the subgroup analysis, CPM successfully predicted TLE patients with and without focal to bilateral tonic-clonic seizures (FBCTS). Additionally, significant differences were noted between the two TLE patient groups and the normal control group.
Conclusion: This data-driven approach provides evidence for the potential of predicting brain features based on the inherent resting-state brain network organization. Our study offers an initial step towards an individualized prediction of cognitive performance in TLE patients, which may be beneficial for diagnosis, prognosis, and treatment planning.
目的:颞叶癫痫(TLE)患者通常表现出不同程度的认知障碍。本研究旨在通过对全脑静息态功能连接(RSFC)数据应用基于连接组的预测模型(CPM)来预测颞叶癫痫患者的认知表现:方法:建立一个CPM,并根据全脑RSFC数据进行leave-one-out交叉验证,对TLE患者的认知能力进行解码:我们的研究结果表明,可以通过顶叶、边缘叶和小脑系统的内部和网络连接来预测TLE患者的认知表现。这些系统分别在认知控制、情绪处理、社会感知和交流中发挥着关键作用。在亚组分析中,CPM 成功预测了有局灶性至双侧强直阵挛发作(FBCTS)和无局灶性至双侧强直阵挛发作(FBCTS)的 TLE 患者。此外,两组 TLE 患者与正常对照组之间也存在明显差异:结论:这一数据驱动方法为根据固有的静息态大脑网络组织预测大脑特征的潜力提供了证据。我们的研究为个性化预测系统性精神障碍患者的认知能力迈出了第一步,这可能有利于诊断、预后和治疗计划的制定。
期刊介绍:
NeuroReport is a channel for rapid communication of new findings in neuroscience. It is a forum for the publication of short but complete reports of important studies that require very fast publication. Papers are accepted on the basis of the novelty of their finding, on their significance for neuroscience and on a clear need for rapid publication. Preliminary communications are not suitable for the Journal. Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.
The core interest of the Journal is on studies that cast light on how the brain (and the whole of the nervous system) works.
We aim to give authors a decision on their submission within 2-5 weeks, and all accepted articles appear in the next issue to press.