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Estimation of coherence between blood flow and spontaneous EEG activity in neonates

By D.M. Simpson, D.A.B. Rosas and A.F.C. Infantosi


Blood flow to the brain responds to changes in neuronal activity and, thus, metabolic demand. In earlier work, we observed correlation between cerebral blood flow and spontaneous electroencephalogram (EEG) activity in neonates. Using coherence, we now found that during Trace/spl acute/ Alternant EEG activity in quiet sleep of normal term neonates, this correlation is strongest at frequencies around 0.1 Hz, reaching statistical significance (p<0.05) in six of the nine subjects studied (p<0.07 in eight subjects). Due to noise, artifact, and spontaneous changes in the subjects' EEG patterns, the signals investigated included epochs of missing samples. We, therefore, developed a novel algorithm for the estimation of coherence in such data and applied a Monte Carlo (surrogate data) method for its statistical analysis. This process provides a test for the statistical significance of the maximum coherence within a selected frequency band. In addition to permitting further insight into the mechanisms of cerebral blood flow control, these algorithms are potentially of great benefit in a wide range of biomedical applications, where interrupted (gapped) recordings are often a problem

Topics: R1, TA
Year: 2005
OAI identifier: oai:eprints.soton.ac.uk:28203
Provided by: e-Prints Soton

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  1. (2001). A parametric approach to measuring cerebral blood flow autoregulation from spontaneous variations in blood pressure,”
  2. (1998). Assessment of cerebral pressure autoregulation in humans—A review of measurement methods,”
  3. (1978). Basic Techniques.
  4. (1999). Cerebral blood flow velocity during neonatal seizures,”
  5. (2000). Cerebral hemodynamic response to CO2 tests in patients with internal carotid artery occlusion: Modeling study and in vivo validation,”
  6. (1987). Cliffs,
  7. (2000). Estimating normal and pathological dynamic responses in cerebral blood flow velocity to step changes in end-tidal pCO2,”
  8. (2001). Estimation andsignificancetestingofcross-correlationbetweencerebralbloodflow velocity and background electro-encephalograph activityin signals with missing samples,”
  9. (1969). Estimation of the coherence spectrum and its confi-denceintervalusingthefastFouriertransform,”IEEETrans.AudioElectroacoust.,
  10. (1973). Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing,”
  11. (1987). Failure of autoregulation of cerebral blood flow in neonates studied by pulsed Doppler ultrasound of the internal carotid artery,”
  12. (1980). Failure ofautoregulation and intraventricular haemorrhage in preterm infants,”
  13. (2000). Frequency domain system identification with missing data,”
  14. (1990). G.Jorch,T.Huster,andH.Rabe,“DependencyofDopplerparametersin the anterior cerebral artery on the behavioral states in term and preterm neonates,”
  15. (2000). Grading of cerebral autoregulation in preterm and term neonates,”
  16. (1987). H.C.Lou,L.Edvinsson,andE.T.MacKenzie,“Theconceptofcoupling blood flow to brain function: Revision required?,”
  17. (1993). Identification of ARX-models subject to missing data,”
  18. (1979). Impaired autoregulation of cerebral blood flow in the distressed newborn infant,”
  19. (1988). Modern Spectral Estimation: Theory and Application.
  20. (1999). Nervous control of the cerebrovascular system: Doubts and facts,”
  21. (2004). Nollo,“Surrogate data analysis for assessing the significance of the coherence function,”
  22. (1997). Randomization, Bootstrap and Monte Carlo Methods in Biology.
  23. (1994). Relationship between cerebral blood flow velocities and cerebral electrical activity in sleep,”
  24. (1983). Seizures in the preterm infant: Effects on cerebral blood flow velocity intracranial pressure, and arterial blood flow,”
  25. (1999). The lomb-scargle periodogram in biological rhythm research: Analysis of incomplete and unequally spaced time-series,”
  26. (1994). The relationship between cerebral blood flow velocity fluctuations and sleep state in normal newborns,”
  27. (1967). The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short modified periodograms,”
  28. (1987). Visually evoked dynamic blood flow response of the human cerebral circulation,”

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