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.
eNeuro,
Journal Year:
2022,
Volume and Issue:
9(6), P. ENEURO.0234 - 21.2022
Published: Nov. 1, 2022
Epilepsies
are
characterized
by
paroxysmal
electrophysiological
events
and
seizures,
which
can
propagate
across
the
brain.
One
of
main
unsolved
questions
in
epilepsy
is
how
epileptic
activity
invade
normal
tissue
thus
To
investigate
this
question,
we
consider
three
computational
models
at
neural
network
scale
to
study
underlying
dynamics
seizure
propagation,
understand
specific
features
play
a
role,
relate
them
clinical
or
experimental
observations.
We
both
internal
connectivity
structure
between
neurons
input
properties
our
characterization.
show
that
sometimes
controlled
while
other
instances,
it
lead
itself
produce
activity,
will
further
efferent
networks.
details
architecture
essential
determine
switch
seizure-like
regime.
investigated
nature
instability
involved
particular
found
central
role
for
inhibitory
connectivity.
propose
probabilistic
approach
propagative/non-propagative
scenarios,
may
serve
as
guide
control
using
appropriate
stimuli.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Journal Year:
2023,
Volume and Issue:
31, P. 1986 - 1996
Published: Jan. 1, 2023
Temporal
lobe
epilepsy
(TLE)
is
thought
to
be
associated
with
neuronal
hyperexcitability
in
the
hippocampal-entorhinal
cortical
(EC)
circuit.
Due
complexity
of
hippocampal-EC
network
connections,
biophysical
mechanisms
different
circuits
generation
and
propagation
are
still
not
fully
established.
In
this
work,
we
propose
a
model
explore
mechanism
epileptic
generation.
We
demonstrate
that
enhanced
excitability
pyramidal
neurons
cornu
ammonis
3
(CA3)
can
drive
produce
transition
from
background
seizure
state
cause
exaggerated
phase-amplitude
coupling
(PAC)
phenomenon
theta
modulated
high-frequency
oscillations
(HFO)
CA3,
1
(CA1),
dentate
gyrus,
EC.
Interestingly,
PAC
strength
indirectly
responds
degree
CA3
(PY)
neuron
hyperexcitability,
suggesting
used
as
potential
marker
seizures.
Furthermore,
find
synaptic
connectivity
mossy
cells
granule
PY
drives
system
discharges.
These
two
channels
may
play
key
role
fiber
sprouting.
particular,
delta-modulated
HFO
theta-modulated
generated
according
degrees
moss
Finally,
results
suggest
stellate
EC
lead
seizures,
which
supports
argument
act
an
independent
source
Overall,
these
highlight
providing
theoretical
basis
new
insights
into
TLE.
Neurobiology of Disease,
Journal Year:
2023,
Volume and Issue:
182, P. 106131 - 106131
Published: April 21, 2023
Epilepsy
is
a
complex
disease
that
requires
various
approaches
for
its
study.
This
short
review
discusses
the
contribution
of
theoretical
and
computational
models.
The
presents
frameworks
underlie
understanding
certain
seizure
properties
their
classification
based
on
dynamical
at
onset
offset
seizures.
Dynamical
system
tools
are
valuable
resources
in
study
These
can
provide
insights
into
mechanisms
offer
framework
classification,
by
analyzing
complex,
dynamic
behavior
Additionally,
models
have
high
potential
clinical
applications,
as
they
be
used
to
develop
more
accurate
diagnostic
personalized
medicine
tools.
We
discuss
modeling
span
different
scales
levels,
while
also
questioning
neurocentric
view,
emphasizing
importance
considering
glial
cells.
Finally,
we
explore
epistemic
value
provided
this
type
approach.
The Journal of Physiology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 7, 2025
Hyperpolarization-activated
cyclic
nucleotide-gated
(HCN)
channels
are
strongly
involved
in
the
regulation
of
neuronal
excitability,
with
their
precise
role
being
determined
by
subcellular
localization
and
interaction
other
ion
transporters.
Their
causing
epileptic
seizures
is
not
fully
understood.
Using
whole-cell
patch-clamp
recordings
rat
brain
slices,
we
show
that
HCN
constitute
a
substantial
fraction
membrane
conductance
deep
entorhinal
principal
neurons.
4-aminopyridine
model
vitro,
channel
blockade
ZD-7288
increases
frequency
seizure-like
events
(SLEs)
alters
time
course
afterhyperpolarization
after
SLEs
(post-SLE
AHP),
promoting
its
faster
onset
making
it
more
transient.
Simultaneous
K+
ion-selective
electrode
revealed
changes
potential
extracellular
concentration
presence
differed
from
control,
which
can
be
explained
altered
Na/K-ATPase
[sodium-potassium
adenosine
triphosphatase
(sodium-potassium
pump)]
activity
SLEs.
To
confirm
this
hypothesis,
demonstrated
ouabain
sensitivity
post-SLE
AHP
showed
loading
neurons
high
intracellular
Na+
prevented
effect
on
AHP.
Taken
together,
results
obtained
suggest
during
AHP,
influx
through
helps
to
maintain
hyperactivity,
resulting
longer
pauses
between
Mathematical
modelling
confirmed
feasibility
proposed
mechanism.
Such
an
interplay
may
crucial
for
seizure
termination
epilepsy.
KEY
POINTS:
significant
resting
modulate
cortex.
The
reduces
duration
follows
them.
affect
sodium
dynamics,
prolonging
(sodium-potassium)
pump]
SLEs,
turn
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Abstract
The
composition
of
the
extracellular
milieu
can
vary
significantly
under
physiological
and
pathological
conditions,
thereby
altering
functional
set
point
brain
cells.
While
global
changes
in
are
known
to
affect
network
activity,
a
detailed
understanding
how
specific
ion
species
impact
individual
cells
remains
elusive.
Current
modulation
methods
involve
use
diluted
salts,
such
as
KCl,
where
lack
precise
control
complicates
data
interpretation.
This
study
achieves
enhanced
resolution
by
using
miniaturized
iontronic
micropipette.
micropipette,
with
tip
filled
polyelectrolyte
an
outlet
size
below
2
µm,
allows
for
on‐demand
ionic
manipulation
single
cells,
without
simultaneous
co‐delivery
solvents
or
other
solutes.
Electrical,
chemical,
optical
characterizations,
supported
computational
modeling,
confirm
device's
high
spatial
temporal
precision.
Validated
hippocampal
slices,
device
demonstrates
release
potassium
ions
(K⁺),
low
current
(<200
nA),
that
effectively,
rapidly,
reversibly
modulates
individually
targeted
neurons
astrocytes.
These
findings
underscore
potential
micropipettes
elucidate
distinct
responses
neuronal
glial
local
milieu,
offering
insights
neuroscience
research
therapeutic
innovation.
PLoS Computational Biology,
Journal Year:
2024,
Volume and Issue:
20(3), P. e1011903 - e1011903
Published: March 6, 2024
The
Epileptor
is
a
phenomenological
model
for
seizure
activity
that
used
in
personalized
large-scale
brain
modeling
framework,
the
Virtual
Epileptic
Patient,
with
aim
of
improving
surgery
outcomes
drug-resistant
epileptic
patients.
Transitions
between
interictal
and
ictal
states
are
modeled
as
bifurcations,
enabling
definition
classes
terms
onset/offset
bifurcations.
This
establishes
taxonomy
seizures
grounded
their
essential
underlying
dynamics
replicates
most
common
class,
observed
patients
focal
epilepsy,
which
characterized
by
square-wave
bursting
properties.
also
encodes
an
additional
mechanism
to
account
spikes
spike
wave
discharges.
Here
we
use
insights
from
more
generic
bursting,
based
on
Unfolding
Theory
approach,
guide
bifurcation
analysis
gain
deeper
understanding
role
its
parameters.
We
show
how
Epileptor’s
parameters
can
be
modified
produce
activities
other
taxonomy,
patients,
so
models
could
further
personalized.
Some
these
have
already
been
described
literature
Epileptor,
others,
predicted
model,
new.
Finally,
unveil
interaction
discharges
alters
structure
main
burster.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 28, 2024
Abstract
The
study
of
brain
activity
and
its
function
requires
the
development
computational
models
alongside
experimental
investigations
to
explore
different
effects
multiple
mechanisms
at
play
in
central
nervous
system.
Chemical
neuromodulators
such
as
dopamine
roles
regulating
dynamics
neuronal
populations.
In
this
work,
we
propose
a
modular
framework
capture
neural
mass
level.
Using
framework,
formulate
specific
model
for
affecting
D1-type
receptors.
We
detail
dynamical
repertoire
associated
with
concentration
evolution.
Finally,
give
one
example
use
basal-ganglia
network
healthy
pathological
conditions.
Whole-brain
simulations
are
a
valuable
tool
for
gaining
insight
into
the
multiscale
processes
that
regulate
brain
activity.
Due
to
complexity
of
brain,
it
is
impractical
include
all
microscopic
details
in
simulation.
Hence,
researchers
often
simulate
as
network
coupled
neural
masses,
each
described
by
mean-field
model.
These
models
capture
essential
features
neuronal
populations
while
approximating
most
biophysical
details.
However,
may
be
important
certain
parameters
significantly
impact
function.
The
concentration
ions
extracellular
space
one
key
factor
consider,
its
fluctuations
can
associated
with
healthy
and
pathological
states.
In
this
paper,
we
develop
new
model
population
Hodgkin–Huxley-type
neurons,
retaining
perspective
on
ion-exchange
mechanisms
driving
This
allows
us
maintain
interpretability
bridging
gap
between
micro-
macro-scale
mechanisms.
Our
able
reproduce
wide
range
activity
patterns,
also
observed
large
simulations.
Specifically,
slow-changing
ion
concentrations
modulate
fast
neuroelectric
activity,
feature
our
validated
through
vitro
experiments.
By
studying
how
changes
ionic
conditions
affect
whole-brain
dynamics,
serves
foundation
measure
biomarkers
provide
potential
therapeutic
targets
cases
dysfunctions
like
epilepsy.