Abstract

Systemic flow variations caused by the cardiac cycle can play a role or be an important marker in both normal and pathological conditions. The shape, magnitude and propagation speed of the flow pulse reflect mechanical properties of the vasculature and are known to vary significantly with vascular diseases. Most conventional techniques are not capable of imaging cardiac activity in the microcirculation due to spatial and/or temporal resolution limitations and instead make inferences about propagation speed by making measurements at two points along an artery. Here, we apply laser speckle contrast imaging to images with high spatial resolution in the high frequency harmonics of cardiac activity in the cerebral cortex of a mouse. We reveal vessel dependent variation in the cardiac pulse activity and use this information to automatically identify arteries and veins.

Highlights

  • Various homeostatic processes in the brain and other organs depend on blood flow regulation

  • We apply laser speckle contrast imaging to images with high spatial resolution in the high frequency harmonics of cardiac activity in the cerebral cortex of a mouse

  • The largest flow variation comes from the cardiac activity [3], which governs dynamics of the intracranial pressure (ICP)

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Summary

Introduction

Various homeostatic processes in the brain and other organs depend on blood flow regulation. The largest flow variation comes from the cardiac activity [3], which governs dynamics of the intracranial pressure (ICP). Arterial pulsation is considered to be the force in the glymphatic system driving cerebrospinal fluid flow through the interstitial space and playing an important role in waste product removal [9]. Pulsatility characteristics, such as frequency, power and shape reflect vascular and overall intracranial compliance and can become a valuable tool in disease assessment and prognosis

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