在资源有限的情况下,由基于数字的符号学和VEEG支持的源定位CLARA的癫痫脑成像。

IF 2.5 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in Neuroinformatics Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fninf.2025.1661617
Amir F Al-Bakri, Ahmed Tahseen Muslim, Moneer K Faraj, Wamedh Esam Matti, Radana Vilimkova Kahankova, Dariusz Mikolajewski, Waldemar Karwowski, Aleksandra Kawala-Sterniuk
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引用次数: 0

摘要

前言:准确定位致痫区对手术治疗耐药癫痫至关重要。标准的术前评估依赖于多模态神经成像技术,但这些技术可能受到可用性和解释挑战的限制。本研究旨在评估由关键符号学识别的区域与一种新的分布式电源定位技术CLARA之间的一致性,并评估它们对术后预后的影响。方法:回顾性研究包括16例至少有3次癫痫发作记录的患者。由神经学家、神经生理学家和放射科医生组成的多学科团队使用视频脑电图(VEEG)主观分析了癫痫符会学,确定了脑叶水平的推定癫痫区。随后,CLARA应用于基于临界期和/或间歇期生物标志物活性的计算区。对推测区和计算区之间的一致性进行了定性评价。术后结果与clara定义区域的切除程度有关。结果:在13例有足够分析资料的患者中,定性比较显示推定区与计算区有77%的一致性和23%的部分一致性。术后随访显示,在完全切除clara定义区域后,一名海绵状瘤患者癫痫发作自由。相比之下,该区域切除不完全的患者继续经历癫痫发作。讨论:研究结果支持CLARA作为一种辅助神经成像技术在癫痫术前评估中的潜在价值。通过提供额外的验证层,当与PET、SPECT、fMRI和MRI等已建立的模式一起使用时,CLARA可以提高癫痫区定位的准确性。它的适应性和较低的资源需求表明,在获得先进医疗设备和专业人员的机会有限的中心特别有用。更广泛地实施CLARA可以加强术前决策,并有助于改善癫痫患者的手术效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings.

Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings.

Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings.

Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings.

Introduction: Accurate localization of the epileptogenic zone is essential for surgical treatment of drug-resistant epilepsy. Standard presurgical evaluations rely on multimodal neuroimaging techniques, but these may be limited by availability and interpretive challenges. This study aimed to assess the concordance between zones identified by ictal semiology and a novel distributed electrical source localization technique, CLARA, and to evaluate their impact on postsurgical outcomes.

Methods: This retrospective study included 16 patients with at least three recorded seizures. Ictal semiology was analyzed subjectively using video electroencephalography (VEEG) by a multidisciplinary team of neurologists, neurophysiologists, and radiologists, who determined the presumed epileptogenic zone at the lobar level. CLARA was subsequently applied to identify the computed zone based on ictal and/or interictal biomarker activities. The concordance between the presumed and computed zones was assessed qualitatively. Postsurgical outcomes were examined in relation to the extent of resection of the CLARA-defined zones.

Results: Among thirteen patients with sufficient data for analysis, qualitative comparison showed 77% concordance and 23% partial concordance between the presumed and computed zones. Postsurgical follow-up revealed seizure freedom in one patient with cavernoma following complete resection of the CLARA-defined zone. In contrast, patients with incomplete resection of this region continued to experience seizures.

Discussion: The findings support the potential value of CLARA as an adjunctive neuroimaging technique in the presurgical evaluation of epilepsy. By providing an additional layer of verification, CLARA may improve the accuracy of epileptogenic zone localization when used alongside established modalities such as PET, SPECT, fMRI, and MRI. Its adaptability and lower resource requirements suggest particular utility in centers with limited access to advanced medical equipment and specialized personnel. Broader implementation of CLARA could enhance presurgical decision-making and contribute to improved surgical outcomes for epilepsy patients.

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来源期刊
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES
CiteScore
4.80
自引率
5.70%
发文量
132
审稿时长
14 weeks
期刊介绍: Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.
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