Quantitative Electroencephalographic (qEEG) Characterisation and Biomarker Identification of Generalised Paediatric Seizure Using Spectral Features

The study reveals a complex pattern of characteristic quantitative electroencephalographic (qEEG) alterations in the paediatric seizure population suggestive of significant neurophysiological implications, including alterations in arousal, attention and inhibitory control mechanisms and the features may be of some value in objective seizure assessment using EEG.

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Publication Details

Journal
Annals of Neurosciences
Published
2026-02-17
DOI
https://doi.org/10.1177/09727531251413457
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantitative Electroencephalographic (qEEG) Characterisation and Biomarker Identification of Generalised Paediatric Seizure Using Spectral Features

Kamlesh Jha, Rakesh Ranjan, Annu Kumari, Tribhuwan Kumar et al.
Annals of Neurosciences
EEG and Brain-Computer Interfaces
article

Quantitative Electroencephalographic (qEEG) Characterisation and Biomarker Identification of Generalised Paediatric Seizure Using Spectral Features

Kamlesh Jha, Rakesh Ranjan, Annu Kumari, Tribhuwan Kumar, Purushottam Kumar, Lokesh Tiwari
article en

Abstract

The study reveals a complex pattern of characteristic quantitative electroencephalographic (qEEG) alterations in the paediatric seizure population suggestive of significant neurophysiological implications, including alterations in arousal, attention and inhibitory control mechanisms and the features may be of some value in objective seizure assessment using EEG.

Annals of Neurosciences
National Institute of Technology Patna (IN), All India Institute of Medical Sciences Raipur (IN), All India Institute of Medical Sciences Bhopal (IN), All India Institute of Medical Sciences (IN)
Quality Education
Openalex Percentile: Top 54%
EEG and Brain-Computer Interfaces
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