Fluctuations in intracranial pressure can be estimated non-invasively using near-infrared spectroscopy in non-human primates

J Cereb Blood Flow Metab. 2020 Nov;40(11):2304-2314. doi: 10.1177/0271678X19891359. Epub 2019 Nov 27.

Abstract

Intracranial pressure (ICP) is typically measured invasively through a sensor placed inside the brain or a needle inserted into the spinal canal, limiting the patient population on which this assessment can be performed. Currently, non-invasive methods are limited due to lack of sensitivity and thus only apply to extreme cases of increased ICP, instead of use in general clinical practice. We demonstrate a novel application for near-infrared spectroscopy (NIRS) to accurately estimate ICP changes over time. Using a non-human primate (Rhesus Macaque) model, we collected optical data while we induced ICP oscillations at multiple ICP levels obtained by manipulating the height of a fluid column connected via a catheter to the lateral ventricle. Hemodynamic responses to ICP changes were measured at the occipital pole and compared to changes detected by a conventional intraparenchymal ICP probe. We demonstrate that hemoglobin concentrations are highly correlated with induced ICP oscillations and that this response is frequency dependent. We translated the NIRS data into non-invasive ICP measurements via a fitted non-parametric transfer function, demonstrating a match in both magnitude and time alignment with an invasively measured reference. Our results demonstrate that NIRS has the potential for non-invasive ICP monitoring.

Keywords: Intracranial pressure; hemodynamics; near-infrared spectroscopy; non-human primates; transfer function.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers / blood
  • Cerebrovascular Circulation
  • Hemodynamics
  • Intracranial Hypertension / diagnosis
  • Intracranial Hypertension / etiology
  • Intracranial Pressure*
  • Macaca mulatta
  • Male
  • Models, Animal
  • Monitoring, Physiologic
  • Signal-To-Noise Ratio
  • Spectroscopy, Near-Infrared / methods*
  • Spectroscopy, Near-Infrared / standards

Substances

  • Biomarkers