bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
Abstract
To
model
the
dynamics
of
neuron
membrane
excitability
many
models
can
be
considered,
from
most
biophysically
detailed
to
highest
level
phenomenological
description.
Recent
works
at
single
have
shown
importance
taking
into
account
evolution
slow
variables
such
as
ionic
concentration.
A
reduction
a
integrate-and-fire
family
is
interesting
then
go
large
network
models.
In
this
paper,
we
introduce
way
consider
impairment
regulation
by
adding
third,
slow,
variable
adaptive
Exponential
(AdEx).
We
implement
and
simulate
including
model.
find
that
was
able
generate
normal
epileptic
discharges.
This
should
useful
for
design
simulations
pathological
states.
Frontiers in Network Physiology,
Journal Year:
2023,
Volume and Issue:
3
Published: May 22, 2023
When
potassium
in
the
extracellular
space
separating
neurons
and
glia
reaches
sufficient
levels,
may
fire
spontaneous
action
potentials
or
even
become
inactivated
due
to
membrane
depolarisation,
which,
turn,
lead
increased
levels.
Under
certain
circumstances,
this
chain
of
events
trigger
periodic
bursts
neuronal
activity.
In
present
study,
reduced
neuron-glia
models
are
applied
explore
relationship
between
bursting
behaviour
ion
concentration
dynamics.
These
built
based
on
a
previously
developed
model,
which
channel-mediated
sodium
currents
replaced
by
function
concentrations.
Simulated
dynamics
resulting
two
display
features
that
qualitatively
similar
those
existing
model.
Bifurcation
analyses
show
rich
interesting
include
existence
Hopf
bifurcations
exhibit
slow
oscillations
for
wide
range
parameter
values.
The
study
demonstrates
very
simple
can
provide
insights
possible
relevance
complex
phenomena.
Mathematical Biology and Bioinformatics,
Journal Year:
2023,
Volume and Issue:
18(2), P. 479 - 516
Published: Dec. 8, 2023
The
paper
presents
novel
developed
modular
mathematical
model
of
epileptic
seizures,
obtained
by
combining
and
modifying
existing
models
epilepsy,
which
for
the
first
time
makes
it
possible
to
simulate
dynamics
seizure
onset,
propagation
termination
simultaneously
at
cellular
regional
levels
brain
organization.
At
level
individual
cells,
AMPA
receptor
trafficking,
changes
in
concentrations
intra-
extracellular
ions,
membrane
depolarization,
other
biophysical
processes
responsible
development
ictal
activity
were
calculated.
Local
field
potentials
regions
modeled
taking
into
account
large-scale
structure
network.
It
is
shown
that
submodels
used
multilevel
corresponds
original
models,
authors
validated
them
with
experimental
data.
theoretical
justification
connections
between
was
given.
Frontiers in Computational Neuroscience,
Journal Year:
2024,
Volume and Issue:
18
Published: Feb. 25, 2024
Mean-field
models
have
been
developed
to
replicate
key
features
of
epileptic
seizure
dynamics.
However,
the
precise
mechanisms
and
role
brain
area
responsible
for
onset
propagation
remain
incompletely
understood.
In
this
study,
we
employ
computational
methods
within
The
Virtual
Brain
framework
Epileptor
model
explore
how
location
connectivity
an
Epileptogenic
Zone
(EZ)
in
a
mouse
are
related
focal
seizures
(seizures
that
start
one
may
or
not
localized),
with
specific
focus
on
hippocampal
region
known
its
association
seizures.
We
then
devise
strategies
confine
(prevent
widespread
propagation),
simulating
medical-like
treatments
such
as
tissue
resection
application
anti-seizure
drugs
neurostimulation
suppress
hyperexcitability.
Through
selectively
removing
(blocking)
connections
informed
by
structural
connectome
graph
network
measurements
locally
reducing
outgoing
connection
weights
EZ
areas,
demonstrate
can
be
kept
constrained
around
region.
successfully
identified
minimal
necessary
prevent
seizures,
particular
minimizing
surgical
medical
intervention
while
simultaneously
preserving
original
maximizing
functionality.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2024,
Volume and Issue:
34(4)
Published: April 1, 2024
Hypersynchronous
(HYP)
seizure
onset
is
one
of
the
frequently
observed
seizure-onset
patterns
in
temporal
lobe
epileptic
animals
and
patients,
often
accompanied
by
hippocampal
sclerosis.
However,
exact
mechanisms
ion
dynamics
transition
to
HYP
seizures
remain
unclear.
Transcranial
magneto-acoustic
stimulation
(TMAS)
has
recently
been
proposed
as
a
novel
non-invasive
brain
therapy
method
modulate
neurological
disorders.
Therefore,
we
propose
biophysical
computational
network
model
explore
evolution
caused
changes
crucial
physiological
parameters
design
an
effective
TMAS
strategy
onset.
We
find
that
cooperative
effects
abnormal
glial
uptake
strength
potassium
excessive
bath
concentration
could
produce
multiple
discharge
result
transitions
from
normal
state
ultimately
depolarization
block
state.
Moreover,
pyramidal
neuron
PV+
interneuron
exhibit
saddle-node-on-invariant-circle/saddle
homoclinic
(SH)
saddle-node/SH
at
onset/offset
bifurcation
pairs,
respectively.
Furthermore,
response
neuronal
activities
different
ultrasonic
waveforms
revealed
lower
sine
wave
can
increase
latency
even
completely
suppress
seizures.
More
importantly,
parameter
area
not
only
effectively
regulates
rhythms
but
also
within
safety
limits
ultrasound
neuromodulation
therapy.
Our
results
may
offer
more
comprehensive
understanding
provide
theoretical
basis
for
application
treating
specific
types
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
Abstract
To
model
the
dynamics
of
neuron
membrane
excitability
many
models
can
be
considered,
from
most
biophysically
detailed
to
highest
level
phenomenological
description.
Recent
works
at
single
have
shown
importance
taking
into
account
evolution
slow
variables
such
as
ionic
concentration.
A
reduction
a
integrate-and-fire
family
is
interesting
then
go
large
network
models.
In
this
paper,
we
introduce
way
consider
impairment
regulation
by
adding
third,
slow,
variable
adaptive
Exponential
(AdEx).
We
implement
and
simulate
including
model.
find
that
was
able
generate
normal
epileptic
discharges.
This
should
useful
for
design
simulations
pathological
states.