Key result
Carotid Doppler flow asymmetry correlates with delta-rhythm EEG power in healthy preschoolers.
Why the study?
There are no well-known correlations between EEG and Doppler ultrasound methods that could improve understanding of brain processes and neurological pathology development.
Cross-Sectional
Significant age-dependent correlations exist between EEG metrics and carotid Doppler ultrasound indices in healthy individuals, which may have future clinical applications.
Answers are grounded in this paper and cite their sources.
Age-specific EEG-Doppler correlations are hypothesis-generating; prospective studies needed before clinical consideration.
Despite widespread using electroencephalography (EEG) and Doppler ultrasound in pediatric neurology clinical practice, there are still no well-known correlations between these methods that could contribute to a better understanding of brain processes and development of neurological pathology. This study aims to reveal relationship between EEG and Doppler ultrasound methods. We compared two cohorts of adults and preschool children with no history of neurological or mental diseases. The data analysis included investigation of EEG and carotid blood flow indexes, which are significant in neurological diagnosis, as well as calculation of linear and non-linear EEG parameters and ratios between the systolic peak velocities of carotid arteries and carotid blood asymmetry. We have found age-dependent correlations between EEG and power Doppler ultrasound imaging (PDUI) data. Carotid blood flow asymmetry correlated with delta-rhythm power spectral density only in preschoolers. The ratios of blood flow velocities in the internal carotid arteries to those in the common carotid arteries correlated with higher peak alpha frequency and lower fractal dimension; moreover, they were associated with lower Epworth sleepiness scale scores. The study revealed significant correlations between EEG and PDUI imaging indexes, which are different for healthy children and adults. Despite the fact that the correlations were associated with non-clinical states such as overwork or stress, we assumed that the investigated parameters could be applicable for clinical trials.
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Portnova et al. (2020) conducted a cross-sectional in Healthy. Carotid Doppler Ultrasound and EEG Metrics was evaluated on Correlations between EEG and power Doppler ultrasound imaging (PDUI) data. Carotid Doppler ultrasound metrics showed significant age-dependent correlations with EEG parameters, such as blood flow asymmetry correlating with delta-rhythm power in healthy preschoolers.
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