Frontiers in Neuroinformatics,
Год журнала:
2022,
Номер
16
Опубликована: Авг. 23, 2022
Rhythmic
light
flickers
have
emerged
as
useful
tools
to
modulate
cognition
and
rescue
pathological
oscillations
related
neurological
disorders
by
entrainment.
However,
a
mechanistic
understanding
of
the
entrainment
for
different
brain
oscillatory
states
flicker
parameters
is
lacking.
To
address
this
issue,
we
proposed
biophysical
neural
network
model
thalamocortical
(TCOs)
explored
stimulation
effects
depending
on
(frequency,
intensity,
duty
cycle)
using
electrophysiology
experiments.
The
generated
alpha,
beta,
gamma
(with
main
oscillation
frequences
at
9,
25,
35
Hz,
respectively),
which
were
successfully
transmitted
from
thalamus
cortex.
By
applying
stimulation,
found
that
was
state-dependent
it
more
prone
induce
if
perturbation
frequency
closer
endogenous
frequency.
In
addition,
would
be
accelerated,
whereas
low-frequency
power
suppressed
(30-50
Hz)
flickers.
Notably,
intensity
cycle
complex;
high
did
not
mean
possibility,
cycles
below
50%
could
easier
than
those
above
50%.
Further,
observed
discontinuity
during
stimulations
with
frequencies,
attributable
non-linear
characteristics
oscillations.
These
results
provide
support
experimental
design
clinical
applications
modulation
TCOs
flicker.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2024,
Номер
34(10)
Опубликована: Окт. 1, 2024
Resonance
and
synchronized
rhythm
are
significant
phenomena
observed
in
dynamical
systems
nature,
particularly
biological
contexts.
These
can
either
enhance
or
disrupt
system
functioning.
Numerous
examples
illustrate
the
necessity
for
organs
within
human
body
to
maintain
their
rhythmic
patterns
proper
operation.
For
instance,
brain,
desynchronized
electrical
activities
contribute
neurodegenerative
conditions
like
Huntington’s
disease.
In
this
paper,
we
utilize
well-established
Hodgkin–Huxley
(HH)
model,
which
describes
propagation
of
action
potentials
neurons
through
conductance-based
mechanisms.
Employing
a
“data-driven”
approach
alongside
outputs
HH
introduce
an
innovative
technique
termed
“dynamic
entrainment.”
This
leverages
deep
learning
methodologies
dynamically
sustain
its
entrainment
regime.
Our
findings
show
that
results
dynamic
match
with
mechanistic
model.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Июль 3, 2022
Abstract
Understanding
the
effect
of
spike-timing-dependent
plasticity
(STDP)
is
key
to
elucidate
how
neural
networks
change
over
long
timescales
and
design
interventions
aimed
at
modulating
such
in
neurological
disorders.
However,
progress
restricted
by
significant
computational
cost
associated
with
simulating
network
models
STDP,
lack
low-dimensional
description
that
could
provide
analytical
insights.
Phase-difference-dependent
(PDDP)
rules
approximate
STDP
phase
oscillator
networks,
which
prescribe
synaptic
changes
based
on
differences
neuron
pairs
rather
than
spike
timing.
Here
we
construct
mean-field
approximations
for
describe
part
space
this
very
high
dimensional
system.
We
first
show
single-harmonic
PDDP
can
a
simple
form
symmetric
while
multi-harmonic
are
required
accurately
causal
STDP.
then
derive
exact
expressions
evolution
average
coupling
weight
terms
synchrony.
For
adaptive
Kuramoto
oscillators
clusters,
formulate
family
descriptions
mean
field
dynamics
each
cluster
weights
between
within
clusters.
Finally,
two-cluster
model
be
fitted
synthetic
data
approximation
full
Our
framework
represents
step
towards
example
inform
development
new
therapies
maximizing
long-lasting
effects
brain
stimulation.
Frontiers in Neuroinformatics,
Год журнала:
2022,
Номер
16
Опубликована: Авг. 23, 2022
Rhythmic
light
flickers
have
emerged
as
useful
tools
to
modulate
cognition
and
rescue
pathological
oscillations
related
neurological
disorders
by
entrainment.
However,
a
mechanistic
understanding
of
the
entrainment
for
different
brain
oscillatory
states
flicker
parameters
is
lacking.
To
address
this
issue,
we
proposed
biophysical
neural
network
model
thalamocortical
(TCOs)
explored
stimulation
effects
depending
on
(frequency,
intensity,
duty
cycle)
using
electrophysiology
experiments.
The
generated
alpha,
beta,
gamma
(with
main
oscillation
frequences
at
9,
25,
35
Hz,
respectively),
which
were
successfully
transmitted
from
thalamus
cortex.
By
applying
stimulation,
found
that
was
state-dependent
it
more
prone
induce
if
perturbation
frequency
closer
endogenous
frequency.
In
addition,
would
be
accelerated,
whereas
low-frequency
power
suppressed
(30-50
Hz)
flickers.
Notably,
intensity
cycle
complex;
high
did
not
mean
possibility,
cycles
below
50%
could
easier
than
those
above
50%.
Further,
observed
discontinuity
during
stimulations
with
frequencies,
attributable
non-linear
characteristics
oscillations.
These
results
provide
support
experimental
design
clinical
applications
modulation
TCOs
flicker.
