对发作间期癫痫放电进行全脑模拟,以针对特定患者解读发作间期 SEEG 数据。

IF 2.7 4区 医学 Q2 CLINICAL NEUROLOGY Neurophysiologie Clinique/Clinical Neurophysiology Pub Date : 2024-07-18 DOI:10.1016/j.neucli.2024.103005
Elif Köksal-Ersöz , Julia Makhalova , Maxime Yochum , Christian-G. Bénar , Maxime Guye , Fabrice Bartolomei , Fabrice Wendling , Isabelle Merlet
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引用次数: 0

摘要

在难治性癫痫患者中,立体脑电图(SEEG)信号的临床解读对于确定手术应针对的致痫网络至关重要。我们提出了一个针对特定患者的发作间期癫痫活动计算建模管道,以改进感兴趣区的定义。经过计算定义的感兴趣区与切除区域之间的比较证实了该管道的效率。这一结果表明,计算建模可用于重建信号和辅助临床解释。
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Whole-brain simulation of interictal epileptic discharges for patient-specific interpretation of interictal SEEG data

In patients with refractory epilepsy, the clinical interpretation of stereoelectroencephalographic (SEEG) signals is crucial to delineate the epileptogenic network that should be targeted by surgery. We propose a pipeline of patient-specific computational modeling of interictal epileptic activity to improve the definition of regions of interest. Comparison between the computationally defined regions of interest and the resected region confirmed the efficiency of the pipeline. This result suggests that computational modeling can be used to reconstruct signals and aid clinical interpretation.

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来源期刊
CiteScore
5.20
自引率
3.30%
发文量
55
审稿时长
60 days
期刊介绍: Neurophysiologie Clinique / Clinical Neurophysiology (NCCN) is the official organ of the French Society of Clinical Neurophysiology (SNCLF). This journal is published 6 times a year, and is aimed at an international readership, with articles written in English. These can take the form of original research papers, comprehensive review articles, viewpoints, short communications, technical notes, editorials or letters to the Editor. The theme is the neurophysiological investigation of central or peripheral nervous system or muscle in healthy humans or patients. The journal focuses on key areas of clinical neurophysiology: electro- or magneto-encephalography, evoked potentials of all modalities, electroneuromyography, sleep, pain, posture, balance, motor control, autonomic nervous system, cognition, invasive and non-invasive neuromodulation, signal processing, bio-engineering, functional imaging.
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