Evidence map›Paper›PMID 40950952›Full record

ArticleFrontiers in neuroinformatics2025

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

Amir F Al-Bakri, Ahmed Tahseen Muslim, Moneer K Faraj, Wamedh Esam Matti, Radana Vilimkova Kahankova, Dariusz Mikolajewski, Waldemar Karwowski, Aleksandra Kawala-Sterniuk

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amir F Al-BakriDepartment of Biomedical Engineering, College of Engineering, University of Babylon, Babylon, Iraq.
Ahmed Tahseen MuslimAl-Witri Hospital for Neurosciences, Baghdad, Iraq.
Moneer K FarajDepartment of Clinical Neurophysiology, College of Medicine, University of Baghdad, Baghdad, Iraq.
Wamedh Esam MattiAl-Witri Hospital for Neurosciences, Baghdad, Iraq.
Radana Vilimkova KahankovaFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland.
Dariusz MikolajewskiInstitute of Computer Science, Kazimierz Wielki University in Bydgoszcz, Bydgoszcz, Poland.
Waldemar KarwowskiComputational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States.
Aleksandra Kawala-SterniukDepartment of Artificial Intelligence, Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, Wroclaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

brain imagingbrain signalsclassical LORETA analysis recursively applied (CLARA)epilepsyVEEG

Identifiers

PMID40950952
PMCPMC12426196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.