Evidence map›Paper›PMID 41454345›Full record

ArticleBMC neurology2025

Distributed EEG source localization of hypsarrhythmia in west syndrome: a standardized, low-resolution, brain electromagnetic tomography (sLORETA) study.

Jooyoung Lee, Ja Un Moon, Eu Gene Park, Il Han Yoo, Ji Yoon Han, Tae-Hoon Eom, Joong Hyun Bin

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Article in BMC neurology, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jooyoung LeeDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Ja Un MoonDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Eu Gene ParkDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Il Han YooDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Ji Yoon HanDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Tae-Hoon EomDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. good1976@hanmail.net.
Joong Hyun BinDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWest syndrome is a developmental epileptic encephalopathy characterized by epileptic spasms, hypsarrhythmia, and neurodevelopmental regression. Despite well-defined clinical criteria, hypsarrhythmia remains challenging to characterize due to its disorganized nature. Recent advancements in quantitative electroencephalography (qEEG) provide a more objective approach to understanding the electrophysiology of this disorder. This study aims to use qEEG and distributed source localization to increase the understanding of hypsarrhythmia in West syndrome.

methodsThis study involved 34 participants, 17 diagnosed with West syndrome (West syndrome group) and 17 healthy controls (control group). All participants underwent 30-minute sleep EEG recordings, and data were analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA) to assess the current density distribution across four frequency bands (delta, theta, alpha, and beta). Statistical non-parametric analysis was performed to compare neural activity between the West syndrome and control groups.

resultsSignificant increases in current density were observed across all frequency bands in the West syndrome group, with the most pronounced difference found in the delta band, followed by theta, alpha, and beta bands. The most prominent changes in the delta band were noted in the right frontal lobe, particularly in the middle frontal gyrus. In the theta band, the most significant differences were observed in the right middle frontal gyrus, while the alpha and beta bands showed notable changes in the left inferior frontal gyrus and the right superior frontal gyrus, respectively.

conclusionOur study demonstrates a significant increase in current density across all frequency bands, with the most pronounced differences observed in the delta band in patients with West syndrome. These changes exhibit a predominant anterior distribution, particularly within the frontal lobe. The findings provide new insights into the electrophysiology of hypsarrhythmia, highlighting the presence of a low-to-high and anteroposterior gradient in neuronal activity. These results contribute to the growing body of research on West syndrome and emphasizes the value of qEEG in enhancing the interpretation of hypsarrhythmia.

Indexed as

BrainElectroencephalographySpasms, InfantileBrain MappingFemaleHumansInfantMaleTomographyDistributed source modelHypsarrhythmiaQuantitative electroencephalography (qEEG)Standardized low-resolution brain electromagnetic tomography (sLORETA)West syndrome

Identifiers

PMID41454345
PMCPMC12853796

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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.