Correlation of EEG with Neuropsychological Status in Children with Epilepsy

Overview

Journal Clin Neurophysiol

Publisher Elsevier

Specialties Neurology
Psychiatry

Date 2015 Sep 5

PMID 26337841

Citations 4

Authors

David A Hsu

Katherine Rayer

Daren C Jackson

Carl E Stafstrom

Murielle Hsu

Peter A Ferrazzano

Kevin Dabbs

Gregory A Worrell

Jana E Jones

Bruce P Hermann

Affiliations

Soon will be listed here.

Abstract

Objective: To determine correlations of the EEG frequency spectrum with neuropsychological status in children with idiopathic epilepsy.

Methods: Forty-six children ages 8-18 years old with idiopathic epilepsy were retrospectively identified and analyzed for correlations between EEG spectra and neuropsychological status using multivariate linear regression. In addition, the theta/beta ratio, which has been suggested as a clinically useful EEG marker of attention-deficit hyperactivity disorder (ADHD), and an EEG spike count were calculated for each subject.

Results: Neuropsychological status was highly correlated with posterior alpha (8-15 Hz) EEG activity in a complex way, with both positive and negative correlations at lower and higher alpha frequency sub-bands for each cognitive task in a pattern that depends on the specific cognitive task. In addition, the theta/beta ratio was a specific but insensitive indicator of ADHD status in children with epilepsy; most children both with and without epilepsy have normal theta/beta ratios. The spike count showed no correlations with neuropsychological status.

Conclusions: (1) The alpha rhythm may have at least two sub-bands which serve different purposes. (2) The theta/beta ratio is not a sensitive indicator of ADHD status in children with epilepsy. (3) The EEG frequency spectrum correlates more robustly with neuropsychological status than spike count analysis in children with idiopathic epilepsy.

Significance: (1) The role of posterior alpha rhythms in cognition is complex and can be overlooked if EEG spectral resolution is too coarse or if neuropsychological status is assessed too narrowly. (2) ADHD in children with idiopathic epilepsy may involve different mechanisms from those in children without epilepsy. (3) Reliable correlations with neuropsychological status require longer EEG samples when using spike count analysis than when using frequency spectra.

Citing Articles

Poor School Academic Performance and Benign Epilepsy with Centro-Temporal Spikes.

Vetri L, Pepi A, Alesi M, Maltese A, Scifo L, Roccella M Behav Sci (Basel). 2023; 13(2).

PMID: 36829335 PMC: 9952252. DOI: 10.3390/bs13020106.

Clinical and electroencephalogram characteristics and treatment outcomes in children with benign epilepsy and centrotemporal spikes.

Chen R, Li B, Wen J, Zhong C, Ji M World J Clin Cases. 2021; 9(33):10116-10125.

PMID: 34904081 PMC: 8638062. DOI: 10.12998/wjcc.v9.i33.10116.

Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan.

Rasheed M, Chand P, Ahmed S, Sharif H, Hoodbhoy Z, Siddiqui A PLoS One. 2021; 16(2):e0246236.

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Cannabinoid antagonist SLV326 induces convulsive seizures and changes in the interictal EEG in rats.

Perescis M, de Bruin N, Heijink L, Kruse C, Vinogradova L, Luttjohann A PLoS One. 2017; 12(2):e0165363.

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