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Related Experiment Video

Updated: Jul 2, 2026

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
11:26

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

Quantifying cerebral autoregulation following endovascular thrombectomy using wavelet transformation.

Lars Tveit1,2, Maria Skytioti3, Thor Håkon Skattør1,2,4

  • 1Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.

Frontiers in Neurology
|July 1, 2026
PubMed
Summary

Cerebral autoregulation (CA) after endovascular thrombectomy (EVT) for acute ischemic stroke (AIS) was assessed using continuous wavelet transform (CWT). Impaired CA, indicated by higher Synchronization index gamma (SI), correlated with poorer early recovery and larger infarcts.

Keywords:
cerebral autoregulationcerebral blood flowcerebral hemodynamicscontinuous wavelet transformneuromonitoring

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Related Experiment Videos

Last Updated: Jul 2, 2026

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Published on: July 28, 2018

Area of Science:

  • Neuroscience
  • Cardiovascular Medicine
  • Medical Imaging

Background:

  • Cerebral autoregulation (CA) is crucial for maintaining stable cerebral blood flow (CBF), especially in acute ischemic stroke (AIS) patients.
  • Endovascular thrombectomy (EVT) is a key treatment for AIS, but its impact on CA requires further investigation.
  • Continuous wavelet transform (CWT) offers a robust method for quantifying CA, yet data post-EVT are limited.

Purpose of the Study:

  • To characterize CA using CWT in AIS patients following EVT.
  • To explore the relationship between CWT-derived CA metrics and clinical outcomes after EVT.

Main Methods:

  • A prospective observational study included 20 AIS patients treated with EVT.
  • Transcranial Doppler ultrasound (TCD) measured middle cerebral artery (MCA) blood flow velocities, synchronized with arterial blood pressure (ABP).
  • CWT-derived Synchronization index gamma (SI) was calculated in the very-low frequency range (0.005-0.08 Hz).

Main Results:

  • No significant difference in median SI was found between favorable and unfavorable 90-day outcomes (p=0.055).
  • Higher median SI was observed in patients without early neurological recovery (p=0.005), indicating impaired CA.
  • Median SI inversely correlated with ASPECTS (rho=-0.52, p=0.043), suggesting poorer CA with larger infarcts.

Conclusions:

  • CWT is a feasible method for assessing CA in AIS patients post-EVT.
  • CWT-derived metrics may offer valuable insights into early cerebral hemodynamics after arterial recanalization.