medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 26, 2024
Abstract
Finely
tuned
gamma
oscillations
have
been
recorded
from
the
subthalamic
nucleus
and
cortex
in
Parkinson’s
disease
patients
undergoing
deep
brain
stimulation
are
often
associated
with
dyskinesia.
More
recently,
it
was
shown
that
entrains
finely
to
½
of
frequency;
however,
functional
role
this
signal
is
not
yet
fully
understood.
We
local
field
potentials
19
chronically
implanted
under
effective
dopaminergic
medication
during
increasing
amplitude,
while
they
were
at
rest
repetitive
hand
movements.
analyzed
effect
intensity
on
band
1:2
entrainment
compared
entrained
movement.
Spontaneous
present
eight
out
(peak
frequency
μ
=
78.4
±4.3
Hz).
High-frequency
induced
15
patients.
Entrainment
occurred
a
mean
amplitude
2.2
0.75
mA
disappeared
or
decreased
power
higher
three
In
spontaneous
gamma,
progressive
shift
until
locked
entrainment.
Only
five
activity
showed
dyskinesia
stimulation.
Further,
there
significant
increase
movement
comparison
rest.
Finally,
had
faster
movements
as
those
without
These
findings
argue
for
relevance
stimulation-induced
prokinetic
that,
necessarily
promoting
Previously
published
electrophysiological
models
fit
well
our
results
support
can
be
promising
real-life
biomarker
closed-loop
Journal of Neural Engineering,
Journal Year:
2024,
Volume and Issue:
21(4), P. 046006 - 046006
Published: July 10, 2024
Abstract
Objective.
Phase-amplitude
coupling
(PAC),
the
of
amplitude
a
faster
brain
rhythm
to
phase
slower
rhythm,
plays
significant
role
in
activity
and
has
been
implicated
various
neurological
disorders.
For
example,
Parkinson’s
disease,
PAC
between
beta
(13–30
Hz)
gamma
(30–100
rhythms
motor
cortex
is
exaggerated,
while
Alzheimer’s
theta
(4–8
diminished.
Modulating
(i.e.
reducing
or
enhancing
PAC)
using
stimulation
could
therefore
open
new
therapeutic
avenues.
However,
it
previously
reported
that
phase-locked
can
increase
PAC,
unclear
what
optimal
strategy
modulate
might
be.
Here,
we
provide
theoretical
framework
narrow
down
experimental
optimisation
aimed
at
modulating
which
would
otherwise
rely
on
trial
error.
Approach.
We
make
analytical
predictions
Stuart–Landau
model,
confirm
these
more
realistic
model
coupled
neural
populations.
Main
results.
Our
specifies
critical
Fourier
coefficients
waveform
should
be
tuned
optimally
PAC.
Depending
characteristics
response
curve
fast
population,
components
may
include
slow
frequency,
combinations
these,
as
well
their
harmonics.
also
show
balance
energy
depends
relative
strength
endogenous
rhythms,
alignment
with
change
throughout
cycle.
Furthermore,
identify
conditions
requiring
phase-lock
and/or
rhythms.
Significance.
Together,
our
lays
foundation
for
guiding
development
innovative
effective
benefit.
Parkinsonism & Related Disorders,
Journal Year:
2024,
Volume and Issue:
122, P. 106089 - 106089
Published: March 6, 2024
Deep
brain
stimulation
(DBS)
of
the
subthalamic
nucleus
(STN)
or
globus
pallidus
(GP)
is
an
established
therapy
for
Parkinson's
disease
(PD).
Novel
DBS
devices
can
record
local
field
potential
(LFP)
physiomarkers
from
STN
GP.
While
beta
(13-30
Hz)
and
gamma
(40-90
GP
LFP
oscillations
correlate
with
PD
motor
severity
therapeutic
effects
treatments,
STN-GP
interactions
in
electrophysiology
patients
are
not
well
characterized.
Neurobiology of Disease,
Journal Year:
2024,
Volume and Issue:
199, P. 106565 - 106565
Published: June 14, 2024
Subthalamic
deep
brain
stimulation
(DBS)
robustly
generates
high-frequency
oscillations
known
as
evoked
resonant
neural
activity
(ERNA).
Recently
the
importance
of
ERNA
has
been
demonstrated
through
its
ability
to
predict
optimal
DBS
contact
in
subthalamic
nucleus
patients
with
Parkinson's
disease.
However,
underlying
mechanisms
are
not
well
understood,
and
previous
modelling
efforts
have
managed
reproduce
wealth
published
data
describing
dynamics
ERNA.
Here,
we
aim
present
a
minimal
model
capable
reproducing
characteristics
slow
date.
We
make
biophysically-motivated
modifications
Kuramoto
fit
parameters
obtained
from
data.
Our
results
demonstrate
that
it
is
possible
(over
hundreds
seconds)
single
neuronal
population,
and,
crucially,
vesicle
depletion
one
key
behind
frequency
decay
our
model.
further
validate
proposed
against
experimental
disease
patients,
where
captures
variations
amplitude
response
variable
frequency,
amplitude,
pulse
bursting.
provide
series
predictions
could
be
subject
future
studies
for
validation.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 12, 2024
Abstract
Objective
Phase-amplitude
coupling
(PAC),
the
of
amplitude
a
faster
brain
rhythm
to
phase
slower
rhythm,
plays
significant
role
in
activity
and
has
been
implicated
various
neurological
disorders.
For
example,
Parkinson’s
disease,
PAC
between
beta
(13–30
Hz)
gamma
(50–200
rhythms
motor
cortex
is
exaggerated,
while
Alzheimer’s
theta
(4-8
diminished.
Modulating
(i.e.
reducing
or
enhancing
PAC)
using
stimulation
could
therefore
open
new
therapeutic
avenues.
However,
it
previously
reported
that
phase-locked
can
increase
PAC,
unclear
what
optimal
strategy
modulate
might
be.
Here,
we
provide
theoretical
framework
narrow
down
experimental
optimisation
aimed
at
modulating
which
would
otherwise
rely
on
trial
error.
Approach
We
make
analytical
predictions
Stuart-Landau
model,
confirm
these
more
realistic
model
coupled
neural
populations.
Main
results
Our
specifies
critical
Fourier
coefficients
waveform
should
be
tuned
optimally
PAC.
Depending
characteristics
response
curve
fast
population,
components
may
include
slow
frequency,
combinations
these,
as
well
their
harmonics.
also
show
balance
energy
depends
relative
strength
endogenous
rhythms,
alignment
with
change
throughout
cycle.
Furthermore,
identify
conditions
requiring
phase-lock
and/or
rhythms.
Significance
Together,
our
lays
foundation
for
guiding
development
innovative
effective
benefit.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 27, 2024
Abstract
Introduction
Deep
brain
stimulation
(DBS)
of
the
subthalamic
nucleus
(STN)
or
globus
pallidus
(GP)
is
an
established
therapy
for
Parkinson’s
disease
(PD).
Novel
DBS
devices
can
record
local
field
potential
(LFP)
physiomarkers
from
STN
GP.
While
beta
(13-30
Hz)
and
gamma
(40-90
GP
LFP
oscillations
correlate
with
PD
motor
severity
therapeutic
effects
treatments,
STN-GP
interactions
in
electrophysiology
patients
are
not
well
characterized.
Methods
Simultaneous
bilateral
LFPs
were
recorded
a
patient
who
received
STN-DBS
GP-DBS.
Power
spectra
each
target
coherence
assessed
various
ON-
OFF-levodopa
states,
both
at
rest
voluntary
movement.
Results
OFF-DBS,
peaks
present
GP,
coincident
prominent
coherence.
Levodopa
dual-target-DBS
(simultaneous
GP-DBS)
completely
suppressed
Finely-tuned
(FTG)
activity
half
frequency
(62.5Hz)
was
seen
during
GP-DBS
rest.
To
assess
movement
on
FTG
activity,
we
instructed
We
observed
contralateral
body
movements
while
ON-levodopa.
No
dual-target-DBS.
Conclusion
Dual-target-DBS
levodopa
throughout
basal
ganglia
induced
by
presence
This
STN-FTG
GP-FTG
corresponded
least
severe
bradykinesia
state,
suggesting
pro-kinetic
role
FTG.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 7, 2024
Abstract
Background
Modulation
of
neuronal
oscillations
holds
promise
for
the
treatment
neurological
disorders.
Nonetheless,
stimulating
populations
in
a
continuous
open-loop
manner
can
lead
to
side
effects
and
suboptimal
efficiency.
Closed-loop
strategies
such
as
phase-locked
stimulation
aim
address
these
shortcomings
by
offering
more
targeted
modulation.
While
theories
have
been
developed
understand
neural
response
stimulation,
their
predictions
not
thoroughly
tested
using
experimental
data.
Objective
We
aimed
test
mathematical
model
regarding
stimulation.
Methods
Using
coupled
oscillator
model,
we
expanded
on
two
key
describing
function
phase
amplitude
ongoing
activity.
To
investigate
predictions,
analyzed
electrocorticogram
(ECoG)
recordings
from
previously
conducted
study
Parkinsonian
rats,
extracted
corresponding
curves.
Results
demonstrated
that
is
strongly
correlated
derivative
(
ρ
>
0.8)
all
animals
except
one,
thereby
validating
prediction.
The
second
prediction
postulated
becomes
ineffective
when
network
synchrony
high,
trend
appeared
missing
Our
analysis
explained
this
discrepancy
showing
rats
did
reach
level
which
theory
would
predict
Conclusions
results
highlight
potential
fine-tuning
paradigms
informed
models
consider
both
oscillation.