Exercise modulates brain pulsatility: insights from q-aMRI and MRI-based flow methods
Interface Focus,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 4, 2025
This
study
investigates
intracranial
dynamics
following
the
Monro–Kellie
doctrine,
depicting
how
brain
pulsatility,
cerebrospinal
fluid
(CSF)
flow
and
cerebral
blood
(CBF)
interact
under
resting
exercise
conditions.
Using
quantitative
amplified
magnetic
resonance
imaging
(q-aMRI)
alongside
traditional
MRI
metrics,
we
measured
analysed
flow,
CSF
displacement
in
a
cohort
of
healthy
adults
both
at
rest
during
low-intensity
handgrip
exercise.
Exercise
was
found
to
reduce
pulsatility
CBF
while
increasing
eliminating
regurgitation,
highlighting
shift
towards
more
sustained
forward
patterns
(from
cranial
spinal
compartments).
Displacement
analysis
using
q-aMRI
revealed
consistent
trend
reduced
whole
motion
exercise,
though
as
sample
data
that
met
quality
control
low
(
n
=
5),
this
not
significant
result.
There
an
observable
decrease
third
fourth
ventricles,
linking
ventricular
alterations.
These
findings
suggest
may
only
affect
rate
directionality
but
also
modulate
tissue
motion,
supporting
homeostasis.
offers
insights
into
adapts
dynamically
varying
conditions,
with
implications
for
understanding
pressure
regulation
humans
diagnostic
contexts.
Language: Английский
The pulsing brain: state of the art and an interdisciplinary perspective
Interface Focus,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 4, 2025
Understanding
the
pulsing
dynamics
of
tissue
and
fluids
in
intracranial
environment
is
an
evolving
research
theme
aimed
at
gaining
new
insights
into
brain
physiology
disease
progression.
This
article
provides
overview
related
magnetic
resonance
imaging,
ultrasound
medical
diagnostics
mathematical
modelling
biological
tissues
fluids.
It
highlights
recent
developments,
illustrates
current
goals
emphasizes
importance
collaboration
between
these
fields.
Language: Английский
Dynamic visualization of brain pulsations using amplified MRI: methodology and applications
Interface Focus,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 4, 2025
Brain
pulsatility
offers
a
compelling
application
in
the
study
of
cerebral
biomechanics,
particularly
for
mild
traumatic
brain
injury
(mTBI)
and
elevated
intracranial
pressure
(ICP).
In
this
study,
we
used
amplified
MRI
to
quantify
tissue
pulsations.
Dynamic
mode
decomposition
(DMD)
processing
was
then
applied
provide
spatio-temporal
analysis
motion.
Four
distinct
use
cases
were
examined:
(i)
resting
versus
exertion-induced
heart
rate
changes,
(ii)
pre-
post-lumbar
puncture
(LP),
(iii)
baseline
post-brain
injury,
(iv)
test–retest
case.
Results
demonstrate
that
motion
varies
significantly
across
conditions,
with
DMD
revealing
modes
frequencies
corresponding
physiological
changes.
Notably,
mTBI
showed
an
increase
pulsatile
post-injury,
while
ICP
exhibited
altered
patterns
post-LP,
indicating
potential
biomarker
pressure-related
This
approach
new
insights
into
pathological
pulsatility;
however,
study’s
limited
sample
size,
reliance
on
retrospective
gating
assumptions
regarding
highlight
need
larger
more
diverse
cohorts
confirm
these
findings.
Despite
limitations,
our
results
suggest
dynamical
could
become
valuable
tool
assessing
dynamics,
applications
clinical
diagnostics
research
neurovascular
neurological
conditions.
Language: Английский
Evaluating amplified magnetic resonance imaging as an input for computational fluid dynamics models of the cerebrospinal fluid
Interface Focus,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 4, 2025
Computational
models
that
accurately
capture
cerebrospinal
fluid
(CSF)
dynamics
are
valuable
tools
to
study
neurological
disorders
and
optimize
clinical
treatments.
While
CSF
interrelate
with
deformations
of
the
ventricular
volumes,
these
have
been
simplified
even
discarded
in
computational
because
lack
detailed
measurements.
Amplified
magnetic
resonance
imaging
(aMRI)
enables
visualization
complex
deformations,
but
this
technique
has
not
used
for
predicting
dynamics.
To
assess
feasibility
using
aMRI
as
an
input
(CFD)
CSF,
we
deduced
amplified
cerebral
ventricles
from
dataset
imposed
our
CFD
model.
Then,
compared
resulting
flow
rates
those
measured
vivo
.
The
yielded
following
a
pulsatile
pattern
line
were,
however,
subject
noise
increased.
As
result,
scaling
factor
1/8
was
necessary
match
rates.
This
is
first
application
modelling
flow,
demonstrate
incorporating
non-uniform
can
contribute
more
predictions
advance
understanding
Language: Английский