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Updated: Feb 8, 2026

Preterm EEG: A Multimodal Neurophysiological Protocol
Published on: February 18, 2012
Coupling between mean blood pressure and EEG in preterm neonates is associated with reduced illness severity scores
Oksana Semenova1,2, Gordon Lightbody1,2, John M O'Toole2,3
1Department of Electrical and Electronic Engineering, University College Cork, Cork, Ireland.
Insights
Nonlinear brain activity-blood pressure coupling in preterm infants is linked to illness severity. This nonlinear measure may predict outcomes, unlike linear methods, offering new insights into neonatal brain health.
Area of Science:
- Neonatal neurology
- Physiological monitoring
- Biomedical signal processing
Background:
- Hypotension (low blood pressure) is common in preterm infants and linked to neurological issues.
- Understanding the brain-blood pressure relationship is crucial for managing hypotension in neonates.
Purpose of the Study:
- To investigate the coupling between blood pressure and EEG in preterm infants (<32 weeks gestational age).
- To explore linear and nonlinear methods for quantifying this interaction.
- To relate the coupling measures to illness severity (CRIB II score).
Main Methods:
- Continuous multichannel EEG and mean arterial pressure (MAP) were recorded.
- Spectral power of EEG in four frequency bands was analyzed.
- Linear (correlation, coherence) and nonlinear (mutual information, transfer entropy) methods were used to assess coupling.
- Causality was measured using transfer entropy (EEG to MAP).
Main Results:
- Linear measures (correlation, coherence) did not correlate with CRIB II scores.
- Nonlinear measure (adjusted mutual information) correlated with CRIB II scores (r = -0.57, p = 0.003).
- Transfer entropy (EEG to MAP) showed significant associations with CRIB II scores across different EEG frequencies, indicating directed information flow from brain activity to blood pressure.
Conclusions:
- Nonlinear coupling between brain activity and MAP may characterize normal preterm infant well-being.
- Weak nonlinear coupling with specific information flow directionality is associated with increased mortality risk.
- This study introduces nonlinear interaction measures for brain-blood pressure dynamics in preterm infants and their relation to illness severity.
Abstract:
Hypotension or low blood pressure (BP) is a common problem in preterm neonates and has been associated with adverse short and long-term neurological outcomes. Deciding when and whether to treat hypotension relies on an understanding of the relationship between BP and brain functioning. This study aims to investigate the interaction (coupling) between BP and continuous multichannel unedited EEG recordings in preterm infants less than 32 weeks of gestational age. The EEG was represented by spectral power in four frequency sub-bands: 0.3-3 Hz, 3-8 Hz, 8-15 Hz and 15-30 Hz. BP was represented as mean arterial pressure (MAP). The level of coupling between the two physiological systems was estimated using linear and nonlinear methods such as correlation, coherence and mutual information. Causality of interaction was measured using transfer entropy. The illness severity was represented by the clinical risk index for babies (CRIB II score) and contrasted to the computed level of interaction. It is shown here that correlation and coherence, which are linear measures of the coupling between EEG and MAP, do not correlate with CRIB values, whereas adjusted mutual information, a nonlinear measure, is associated with CRIB scores (r = -0.57, p = 0.003). Mutual information is independent of the absolute values of MAP and EEG powers and quantifies the level of coupling between the short-term dynamics in both signals. The analysis indicated that the dominant causality is from changes in EEG producing changes in MAP. Transfer entropy (EEG to MAP) is associated with the CRIB score (0.3-3 Hz: r = 0.428, p = 0.033, 3-8 Hz: r = 0.44, p = 0.028, 8-15 Hz: r = 0.416, p = 0.038) and indicates that a higher level of directed coupling from brain activity to blood pressure is associated with increased illness in preterm infants. This is the first study to present the nonlinear measure of interaction between brain activity and blood pressure and to demonstrate its relation to the initial illness severity in the preterm infant. The obtained results allow us to hypothesise that the normal wellbeing of a preterm neonate can be characterised by a nonlinear coupling between brain activity and MAP, whereas the presence of weak coupling with distinctive directionality of information flow is associated with an increased mortality rate in preterms.
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