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Background <p>West 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.</p> Methods <p>This 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.</p> Results <p>Significant 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.</p> Conclusion <p>Our 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月27日

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

摘要

Background

West 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.

Methods

This 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.

Results

Significant 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.

Conclusion

Our 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.