Evidence map›Paper›PMID 39594175›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Temporal Lobe Epilepsy Focus Detection Based on the Correlation Between Brain MR Images and EEG Recordings with a Decision Tree.

Cansel Ficici, Ziya Telatar, Osman Erogul, Onur Kocak

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Cansel FiciciDepartment of Electrical and Electronics Engineering, Ankara University, 06830 Ankara, Turkey.ORCID 0000-0002-3698-6137
Ziya TelatarDepartment of Biomedical Engineering, Başkent University, 06790 Ankara, Turkey.
Osman ErogulDepartment of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey.ORCID 0000-0002-4640-6570
Onur KocakDepartment of Biomedical Engineering, Başkent University, 06790 Ankara, Turkey.ORCID 0000-0002-8240-4046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesIn this study, a medical decision support system is presented to assist physicians in epileptic focus detection by correlating MRI and EEG data of temporal lobe epilepsy patients.

methodsBy exploiting the asymmetry in the hippocampus in MRI images and using voxel-based morphometry analysis, gray matter reduction in the temporal and limbic lobes is detected, and epileptic focus prediction is realized. In addition, an epileptic focus is also determined by calculating the asymmetry score from EEG channels. Finally, epileptic focus detection was performed by associating MRI and EEG data with a decision tree.

resultsThe results obtained from the proposed algorithm provide 100% overlap with the physician's finding on the EEG data.

conclusionsMRI and EEG correlation in epileptic focus detection was improved compared with physicians. The proposed algorithm can be used as a medical decision support system for epilepsy diagnosis, treatment, and surgery planning.

Indexed as

decision treeEEGepileptic focusMRItemporal lobe epilepsyvoxel-based morphometry

Identifiers

PMID39594175
PMCPMC11592879

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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.