Quantitative Electroencephalographic (qEEG) Characterisation and Biomarker Identification of Generalised Paediatric
Arundhati Kumari1, Kamlesh Jha1, Tribhuwan Kumar1
1Department of Physiology, AIIMS Patna, Bihar, India.
Quantitative EEG analysis reveals distinct patterns in children with seizures, identifying potential biomarkers for objective assessment. These findings aid in understanding neurophysiological changes in paediatric epilepsy.
Area of Science:
- Neuroscience
- Medical Imaging
- Biomarkers
Background:
- Pediatric epilepsy presents diagnostic challenges due to seizure mimics and atypical presentations on electroencephalography (EEG).
- Epilepsy in children can lead to significant long-term health issues and morbidity globally.
Purpose of the Study:
- To identify quantitative EEG (qEEG) biomarkers for diagnosing pediatric seizures.
- To explore spectral features from conventional EEG records for objective seizure assessment.
Main Methods:
- Recruited 66 pediatric subjects (2-15 years) with generalized seizures and matched healthy controls.
- Recorded 32-channel EEG data and extracted quantitative spectral features using Fast Fourier Transform (FFT) in MATLAB.
- Compared spectral features between seizure and control groups to identify diagnostic markers.
Main Results:
- Children with seizures exhibited higher alpha power in both hemispheres and lower beta power in the left hemisphere compared to controls.
- Significant cortical asymmetries were observed, particularly in theta, delta, and alpha power across different regions.
- Specific asymmetry indices highlighted differences in temporal and occipitotemporal regions.
Conclusions:
- Quantitative EEG analysis reveals characteristic alterations in pediatric seizure populations.
- These qEEG findings suggest neurophysiological implications affecting arousal, attention, and inhibitory control.
- The identified qEEG features may assist in the objective assessment of seizures in children.
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