Project 1
Space Adaptation Syndrome (SAS) is a collection of
symptoms, including headache, vomiting, nausea,
lethargy, and gastric discomfort, which affect roughly
two-thirds of crew members during the first few hours
or days of space flight. Although some evidence
suggests that SAS may be a form of motion sickness
associated with the functioning of the vestibular and
sensory systems during exposure to microgravity
environments, SAS differs in significant ways from
terrestrial manifestations of motion sickness (TMS).
While TMS is roughly coincident with the initiation of
motion, SAS is delayed. SAS also involves active,
rather than passive head motions, and does not involve
cold sweats, salivation, facial pallor, or bowel
urgency. SAS, unlike TMS, is usually associated with
headache, and vomiting tends to be sudden without
initial retching or nausea.
A recent study [1] suggests that
elevated intracranial pressure (ICP) may play a role
in the development of SAS, and several of the symptoms
of SAS, e.g. headache and sudden vomiting, resemble
those associated with increased ICP. Further, the fact
that the onset of SAS occurs early in a flight
suggests that it may be related to the well-know fluid
shift that begins at launch and continues for
approximately 10 hours into the flight. During this
period, between 1500mL and 2000mL of fluid may shift
from the lower to the upper body. While such a fluid
shift can be expected to trigger a coincident rise in
ICP, the mechanism involved in this rise, and indeed
the effect of microgravity environments on the
intracranial space within the nearly-rigid skull, are
not well understood. A better understanding of the
time course of increases in ICP in response to the
fluid shifts of microgravity is needed if the etiology
of SAS is to be unraveled, effective countermeasures
designed, and the early-flight performance of crew
members improved during present and planned space
missions. Non-invasive methods for measuring ICP,
including use of a Pulsed Phase-Lock Loop (PPLL)
ultrasound at NASA Ames Research Center, are currently
being developed. Such techniques will be extremely
useful in providing data on the time course of ICP
increases during the initial stages of exposure to
microgravity environments and measuring the
effectiveness of potential countermeasures. However, a
more direct non-invasive approach to understanding the
fundamental mechanisms which produce SAS is also
desirable.
The present project will develop a
mathematical model for the intracranial system which
includes the headward shift of fluids in microgravity
and simulates the dynamic adjustment of ICP in
response to this shift. The starting point for this
project will be a robust lumped-parameter
compartmental model of the intracranial system which
has already been developed by the principal
investigator in collaboration with colleagues in
Neurosurgery at UVM [2]. Differential equations
describe the dynamic evolution of compartmental
pressures, while volumes and flows are related to
pressure differences through compliance and resistance
functions. The model has been validated by comparison
with cerebrospinal fluid (CSF) bolus data generated by
the neurosurgeons in a rabbit model [3]. It has also
been used to determine the etiology and response to
shunting of the Alzheimer like disease state Normal
Pressure Hydrocephalus [4].
Since the inception of this project
in mid-July, significant progress has been made. Dr.
Lakin, in close collaboration with Cordell Gross M.D.,
past Chair of the Division of Neurosurgery at UVM, has
developed a physiologically-realistic mathematical
model for the intracranial system in microgravity
which includes the headward shift of fluids and is
capable of determining the dynamic adjustment of ICP
in response to this shift. For the first time, this
"lumped-parameter" model does not limit the
intracranial space to be a closed system, but embeds
the brain within "whole-body" physiology. This
innovation is essential to model the stagnation and
accumulation of blood in the supraclavicular veins,
facial and scalp edema, redistribution of CSF between
the brain and spinal thecal, and other effects
associated with the headward shift of fluid in
microgravity. Differential equations describe the
dynamic evolution of compartmental pressures, while
volumes and flows are related to pressure differences
through compliance and resistance functions. An
efficient numerical algorithm for solving the complex
coupled model equations has been designed by Dr. Igor
Najfeld, a former Staff Scientist at the Institute for
Computer Applications in Science and Engineering (ICASE)
at NASA Langley Research Center and a current Research
Associate on this project. Dr. Scott Stevens, who
recently joined this project as a Postdoctoral
Assistant, has examined issues associated with model
calibration and the relationship between local
compartmental and global physiological compliances. A
separate description of Dr. Stevens' work follows
below. To date, this research progress has resulted in
the submission of two papers [5,6] to professional
journals.
In Year 2, model calibration will be
completed and numerical techniques for efficient
solution of the "stiff" system of model equations will
be refined. Computer simulations will then be run to
simulate entry to microgravity and return to the
terrestrial environment. Our hypothesis that many of
the debilitating effects of SAS are due to benign
intracranial hypertension that is secondary to the
edema caused by upward fluid shifts will be tested.
To give confidence in a model's
results and predictions, the model must be validated
by comparison with measured physiological data. For
this purpose, ties have been established with Dr. Alan
Hargens in the Gravitational Research Branch at NASA
Ames Research Center. Plans also exist to tap the
database residing at the Johnson Space Center during
the coming year, and Dr. Lakin will be attending the
Johnson EPSCoR conference in May.
Dr. William D. Lakin, the principal
investigator for this project, is Professor of
Mathematics, Statistics, and Biomedical Engineering at
the University of Vermont. His areas of expertise
include mathematical modeling, differential equations,
computational mathematics, and asymptotic methods with
applications to biomedicine, fluid mechanics, and
aeroelasticity.
[1] Jennings, T. (1990) Space
adaptation syndrome is caused by elevated intracranial
pressure. Medical Hypothesis 32, 289-291.
[2] Lakin,W.D. (1998) Mathematical
modeling of pressure dynamics in the intracranial
system.^Ô In G. Oyibo (Ed.), Applied Mathematics:
Methods and Techniques, 2nd Ed. Commack, NY: Nova
Science Publishers.
[3] Lakin,W.D., Penar, P.L. and Yu,J.
(1999) Analysis and validation of a mathematical model
of intracranial dynamics in the rabbit. Math.
Modelling of Systems 3, 1-19.
[4] Penar, P.L., Lakin, W.D., and
Yu, J. (1995) Normal Pressure Hydrocephalus: An
analysis of etiology and response to shunting based on
mathematical modeling. Neurological Research 17,
83-88.
[5] Steven, S.A. and Lakin, W.D.
Recovering the global physiological compliance of the
intracranial system using local compliances in a
mathematical model. Mathematical and Computer
Modelling of Dynamical Systems (submitted).
[6] Stevens, S.A. Mean pressures
andflows in the human intracranial system determined
by mathematical simulations of a steady-state infusion
test. J. Neurosurgery (submitted).
Progress Report: Dr. Scott A. Stevens, Postdoctoral
Fellow
I have been working in collaboration
with members of the Mathematics and Neurosurgery
Departments at UVM on the development of a
mathematical model of intracranial fluid dynamics. We
are designing a whole-body model in order to study the
fluid redistributions associated with the prolonged
exposure to microgravity experienced by astronauts.
My role in this project has been the
calibration of problem parameters such as mean fluid
flows and pressures within the intracranial region of
the healthy adult human, specifically in the base
state on earth. These intracranial calibrations may
then be introduced into the whole-body model. In this
way, the effects of microgravity may be modeled as
deviations from this base state which may lead to a
common disorder in astronauts known as Space
Adaptation Syndrome. With the aid of this model,
possible intervention techniques may be tested without
costly experimentation in microgravity.
My first result this year was
pertaining to the small fluid flow into and out of the
interstitial brain tissue across the blood-brain and
CSF-brain barriers. Due to the magnitude of these
flows, it is difficult to measure them experimentally.
However, in order to fully understand the effects of
microgravity on fluid redistributions within the
extracellular tissue, it is necessary to quantify
these small flows within a reasonable accuracy level.
Through simulated steady-state infusion tests, I was
able to compare results with clinical data and obtain
estimations of these small flows in the base state.
Presently, I have developed a
smaller model of the intracranial region in order to
study the pressure-volume relationship of the
Cerebrospinal Fluid (CSF) space. This model
incorporates some of the aspects of the whole-body
model but maintains simplicity by lumping the
intracranial region into three compartments: artery,
vein, and CSF. Despite the simplicity of this model,
the global pressure-volume relationship within the CSF
space is realized throughout a complete CSF pressure
domain. This is done through the introduction and
calibration of three, local, pressure-difference
dependent compliances.
In the future I plan to incorporate
the results above into the whole-body model, finish
calibrating the problem parameters in the base state
and begin microgravity simulations.