Task Multimodal Modeling towards Noninvasive Assessment of Intracranial Pressure in Weightlessness and Biomarker Identification of Predisposition to VIIP Syndrome (Zanello)
Last Published:  04/20/22 11:43:24 AM (Central)
Short Title: Biomarker Noninvasive ICP
Responsible HRP Element: Human Health Countermeasures
Collaborating Org(s):
Funding Status: Terminated - A formerly active task that was stopped before its completion date due to deselection, descoping, reorganization etc.
Procurement Mechanism(s):

This study has been transferred to Dr. Williams and will be completed as part of the Direct ICP study. https://humanresearchroadmap.nasa.gov/tasks/task.aspx?i=1560

Specific Aim 1
(Hypothesis #1 and #2)

- To develop and validate a noninvasive ICP estimation (nICP) approach for a specific

population of crewmembers based on a noninvasive ICP framework (NICF). The anticipated

input parameters may include: arterial blood pressure (ABP), electrocardiogram signals, cerebral

blood flow velocity (CBFV), heart and ventilation rate, tympanic membrane displacement by

Cochlear and Cerebrospinal Fluid Pressure (CCFP), ophthalmic artery blood pressure by

Vittamed. The NICF has been only tested using ABP and CBFV data from brain injury patients.

The additional noninvasive data elements provide different aspects of cerebral physiology under

influence of ICP. Therefore, integrating them under the NICF is very likely to improve nICP



Specific Aim 2 (Hypothesis #2)

- To longitudinally estimate ICP in crew members before, during and after spaceflight using the

model developed in Aim 1.

Specific Aim 3 (Hypothesis #3)

- To use novel methods of mRNA and microRNA profiling to identify candidate urinary and

plasma biomarkers that align with VIIP-related physiologic variables.

Specific Aim 4 (Hypothesis #4)

-To measure and correlate novel biomarkers in urine and blood of crew members with measures

of estimated ICP, pre-, in- and post-flight.

-To use all noninvasive measures plus biomarkers as input to build a predictive model that will

inform the likelihood of a given crew member developing VIIP post flight.