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.
Frontiers in Network Physiology,
Год журнала:
2025,
Номер
4
Опубликована: Янв. 22, 2025
This
perspective
article
addresses
the
critical
and
up-to-date
problem
of
task-specific
musician’s
dystonia
(MD)
from
both
theoretical
practical
perspectives.
Theoretically,
MD
is
explored
as
a
result
impaired
sensorimotor
interplay
across
different
brain
circuits,
supported
by
most
frequently
cited
scientific
evidence—each
referenced
dozens
times
in
Scopus.
Practically,
significant
issue
it
occurs
over
60
more
musicians
compared
to
other
professions,
underscoring
influence
individual
training
well
environmental,
social,
emotional
factors.
To
address
these
challenges,
we
propose
novel
application
FeeSyCy
principle
(feedback-synchrony-plasticity),
which
emphasizes
pivotal
role
feedback
guiding
inter-neuronal
synchronization
plasticity—the
foundation
learning
memory.
model
integrates
with
established
literature
form
comprehensive
framework
for
understanding
an
FeeSyCy-mediated
relationship
between
their
environment,
ultimately
leading
trauma.
The
proposed
approach
provides
advantages
enabling
development
innovative
therapeutic
preventive
strategies.
Specifically,
lays
groundwork
multimodal
psycho-physical
therapies
aimed
at
restoring
balance
neural
circuits
affected
MD.
These
strategies
include
personalized
psychotherapy
combined
physical
rehabilitation
psychological
physiological
dimensions
integration
offers
value-added
solution
this
pressing
problem,
potential
broad
applicability
similar
conditions.
Frontiers in Network Physiology,
Год журнала:
2025,
Номер
5
Опубликована: Март 21, 2025
A
version
of
the
speed-gradient
evolution
models
for
systems
obeying
maximum
information
entropy
principle
developed
by
H.
Haken
in
his
book
1988
is
proposed
this
article.
An
explicit
relation
specifying
system
dynamics
general
linear
constraints
established.
Two
versions
human
brain
detailed
balance-breaking
model
are
proposed.
In
addition,
contours
a
new
scientific
field
called
cybernetical
neuroscience
dedicated
to
control
neural
have
been
outlined.
Physical Review Research,
Год журнала:
2025,
Номер
7(2)
Опубликована: Май 9, 2025
Aberrant
oscillatory
activity
is
a
hallmark
of
several
brain
disorders
including
Parkinson's
disease
(PD).
Specifically,
interactions
between
neurons
the
subthalamic
nucleus
(STN)
and
globus
pallidus
externus
(GPe)
may
contribute
to
emergence
maintenance
overly
synchronized
beta-band
(15–30
Hz)
oscillations
be
associated
with
motor
symptoms
PD.
Excessive
beta
synchrony
can
mitigated
by
pharmacological
intervention
deep
stimulation
(DBS).
Alternatively,
strategies
that
aim
selectively
modulate
interpopulation
connections
have
therapeutic
potential.
Here,
we
tested
computationally
whether
dual
targeting
STN
GPe
time-shifted
pathologically
strong
synapses
through
inhibitory
spike-timing-dependent
plasticity.
More
specifically,
examined
how
paired
stimuli
delivered
lead
synaptic
rewiring.
To
end,
first
theoretically
analyzed
optimal
range
time
shift
frequency
for
effective
Then,
as
minimal
model
generating
in
healthy
PD
conditions,
considered
STN-GPe
loop
biologically
inspired
parameters.
Time-shifted
modified
long-lasting
This
ultimately
caused
desynchronizing
aftereffects,
resulting
reduced
coupling
network
restoration
dynamics.
Our
findings
demonstrate
critical
role
neuroplasticity
shaping
effects
optimization
variety
multisite
paradigms
aimed
at
reshaping
dysfunctional
networks
Published
American
Physical
Society
2025
PLoS Computational Biology,
Год журнала:
2022,
Номер
18(11), С. e1010568 - e1010568
Опубликована: Ноя. 3, 2022
Synaptic
dysfunction
is
associated
with
several
brain
disorders,
including
Alzheimer's
disease,
Parkinson's
disease
(PD)
and
obsessive
compulsive
disorder
(OCD).
Utilizing
synaptic
plasticity,
stimulation
capable
of
reshaping
connectivity.
This
may
pave
the
way
for
novel
therapies
that
specifically
counteract
pathological
For
instance,
in
PD,
multichannel
coordinated
reset
(CRS)
was
designed
to
neuronal
synchrony
down-regulate
CRS
shown
entail
long-lasting
therapeutic
aftereffects
PD
patients
related
animal
models.
marked
contrast
conventional
deep
(DBS)
therapy,
where
symptoms
return
shortly
after
ceases.
In
present
paper,
we
study
by
periodic
(PMCS)
networks
leaky
integrate-and-fire
(LIF)
neurons
spike-timing-dependent
plasticity
(STDP).
During
PMCS,
phase-shifted
stimulus
trains
are
delivered
segregated
subpopulations.
Harnessing
STDP,
PMCS
leads
changes
network
structure.
We
found
PMCS-induced
structure
depend
on
both
phase
lags
between
stimuli
shape
individual
stimuli.
Single-pulse
burst
low
intraburst
frequency
synapses
receiving
simultaneously.
contrast,
high
up-regulate
these
synapses.
derive
theoretical
approximations
stimulation-induced
enables
us
formulate
strategies
inducing
a
variety
structures.
Our
results
provide
testable
hypotheses
future
pre-clinical
clinical
studies
suggest
be
suitable
plastic
Furthermore,
insight
how
type
affect
outcome
DBS.
strongly
impact
parameter
adjustment
procedures
DBS,
which,
so
far,
primarily
focused
acute
effects
stimulation.
Frontiers in Human Neuroscience,
Год журнала:
2023,
Номер
16
Опубликована: Янв. 26, 2023
Introduction
Parkinson's
disease
(PD)
is
a
movement
disorder
characterized
by
the
pathological
beta
band
(15–30
Hz)
neural
oscillations
within
basal
ganglia
(BG).
It
shown
that
suppression
of
abnormal
correlated
with
improvement
PD
motor
symptoms,
which
goal
standard
therapies
including
deep
brain
stimulation
(DBS).
To
overcome
stimulation-induced
side
effects
and
inefficiencies
conventional
DBS
(cDBS)
to
reduce
administered
current,
closed-loop
adaptive
(aDBS)
techniques
were
developed.
In
this
method,
frequency
and/or
amplitude
are
modulated
based
on
various
biomarkers.
Methods
Here,
computational
modeling
cortico-BG-thalamic
network
in
normal
conditions,
we
show
aDBS
subthalamic
nucleus
(STN)
modulation
leads
more
effective
parkinsonian
BG.
Results
Our
results
restored
their
range
reliability
response
thalamic
neurons
cortex
commands
retained
due
modulation.
Furthermore,
notably
less
current
during
compared
cDBS
control
STN
local
field
potential
(LFP)
activity.
Discussion
Efficient
models
may
contribute
clinical
development
optimized
designed
patients
while
leading
better
therapeutic
outcome.
Frontiers in Network Physiology,
Год журнала:
2023,
Номер
3
Опубликована: Сен. 5, 2023
The
brain
plays
central
role
in
regulating
physiological
systems,
including
the
skeleto-muscular
and
locomotor
system.
Studies
of
cortico-muscular
coordination
have
primarily
focused
on
associations
between
movement
tasks
dynamics
specific
waves.
However,
brain-muscle
functional
networks
synchronous
among
waves
muscle
activity
rhythms
that
underlie
control
remain
unknown.
Here
we
address
following
fundamental
questions:
what
are
structure
networks;
whether
main
network
mediators
control;
how
hierarchical
organization
relates
to
distinct
states
under
autonomic
regulation
such
as
wake,
sleep,
sleep
stages;
altered
with
neurodegenerative
disorders.
We
study
interactions
all
physiologically
relevant
across
cortical
locations
leg
chin
healthy
Parkinson's
disease
(PD)
subjects.
Utilizing
Network
Physiology
framework
time
delay
stability
approach,
find
1)
each
state
is
characterized
by
a
unique
profile
links
strength;
2)
particular
play
during
state;
3)
PD
leads
muscle-specific
breakdown
networks,
altering
sleep-stage
stratification
pattern
connectivity
strength.
In
subjects
exhibit
pronounced
stronger
wake
light
weaker
REM
deep
sleep.
contrast,
reorganize
decline
strength
non-REM
increase
REM,
leading
markedly
different
gradual
from
Further,
stages
profiles,
which
PD,
indicating
disruption
communication
rhythms.
Our
findings
demonstrate
presence
previously
unrecognized
basic
principles
locomotion,
potential
clinical
implications
for
novel
network-based
biomarkers
early
detection
disorders,
movement,
Frontiers in Network Physiology,
Год журнала:
2024,
Номер
4
Опубликована: Фев. 2, 2024
We
present
a
numerical
study
of
pulsatile
feedback-based
control
synchrony
level
in
highly-interconnected
oscillatory
network.
focus
on
nontrivial
case
when
the
system
is
close
to
synchronization
transition
point
and
exhibits
collective
rhythm
with
strong
amplitude
modulation.
pay
special
attention
technical
but
essential
steps
like
causal
real-time
extraction
signal
interest
from
noisy
measurement
estimation
instantaneous
phase
amplitude.
The
feedback
loop’s
parameters
are
tuned
automatically
suppress
synchrony.
Though
motivated
by
neuroscience,
results
relevant
controlling
activity
ensembles
various
natures
and,
thus,
rapidly
developing
field
network
physiology.
The
basal
ganglia
(BG)
is
part
of
a
basic
feedback
circuit
regulating
cortical
function,
such
as
voluntary
movements
control,
via
their
influence
on
thalamocortical
projections.
BG
disorders,
namely
Parkinson's
disease
(PD),
characterized
by
the
loss
neurons
in
substantia
nigra,
involve
progressive
motor
functions.
At
present,
PD
incurable.
Converging
evidences
suggest
onset
PD-specific
pathology
prior
to
appearance
classical
signs.
This
latent
phase
neurodegeneration
particular
relevance
developing
more
effective
therapies
intervening
at
earliest
stages
disease.
Therefore,
key
challenge
research
identify
and
validate
markers
for
preclinical
prodromal
illness.
We
propose
mechanistic
neurocomputational
model
mesoscopic
scale
investigate
behavior
simulated
neural
system
after
several
degrees
lesion
with
aim
possibly
evaluating
which
smallest
compromising
learning.
In
other
words,
we
developed
working
framework
analysis
theoretical
early-stage
PD.
While
simulations
healthy
conditions
confirm
role
dopamine
learning,
pathological
network
predicts
that
there
may
exist
abnormalities
learning
process,
physiological
alterations
BG,
do
not
yet
presence
symptoms
typical
clinical
diagnosis.
Frontiers in Network Physiology,
Год журнала:
2024,
Номер
4
Опубликована: Май 28, 2024
Abnormal
neuronal
synchrony
is
associated
with
several
neurological
disorders,
including
Parkinson's
disease
(PD),
essential
tremor,
dystonia,
and
epilepsy.
Coordinated
reset
(CR)
stimulation
was
developed
computationally
to
counteract
abnormal
synchrony.
During
CR
stimulation,
phase-shifted
stimuli
are
delivered
multiple
sites.
Computational
studies
in
plastic
neural
networks
reported
that
drove
the
into
an
attractor
of
a
stable
desynchronized
state
by
down-regulating
synaptic
connections,
which
led
long-lasting
desynchronization
effects
outlasted
stimulation.
Later,
corresponding
therapeutic
were
found
animal
models
PD
patients.
To
date,
it
unclear
how
spatially
dependent
as
typically
observed
brain,
shape
CR-induced
downregulation
effects.