Neurobiology of Disease,
Год журнала:
2024,
Номер
199, С. 106589 - 106589
Опубликована: Июль 3, 2024
Despite
the
large
body
of
work
on
local
field
potentials
(LFPs),
a
measure
oscillatory
activity
in
patients
with
Parkinson's
disease
(PD),
longitudinal
evolution
LFPs
is
less
explored.
To
determine
LFP
fluctuations
collected
clinical
settings
PD
and
STN
deep
brain
stimulation
(DBS).
Twenty-two
STN-DBS
(age:
67.6
±
8.3
years;
9
females;
duration:
10.3
4.5
years)
completed
bilateral
recordings
over
three
visits
OFF-stimulation
setting.
Peak
band
power
measures
were
calculated
from
each
recording.
After
recordings,
at
least
one
peak
was
detected
18
(81.8%),
20
(90.9%),
22
(100%)
visit
1,
2,
3,
respectively.
No
significant
differences
seen
primary
amplitude
(F
=
2.91,
p
0.060)
time.
Amplitude
second
largest
5.49,
0.006)
low-beta
6.89,
0.002),
high-beta
13.23,
<
0.001),
gamma
12.71,
0.001)
demonstrated
effect
Post
hoc
comparisons
determined
(Visit
1–Visit
2:
t
3.59,
0.002;
Visit
3:
2.61,
0.031),
4.64,
0.001;
4.23,
4.65,
4.00,
significantly
increased
1
to
both
follow-up
visits.
Our
results
provide
substantial
evidence
that
can
reliably
be
across
multiple
real-world
for
PD.
Moreover,
it
provides
insights
these
LFPs.
Journal of Neurology,
Год журнала:
2022,
Номер
270(2), С. 1162 - 1177
Опубликована: Окт. 8, 2022
Deep
brain
stimulation
(DBS)
treatment
has
proven
effective
in
suppressing
symptoms
of
rigidity,
bradykinesia,
and
tremor
Parkinson's
disease.
Still,
patients
may
suffer
from
disabling
fluctuations
motor
non-motor
symptom
severity
during
the
day.
Conventional
DBS
consists
continuous
but
can
potentially
be
further
optimised
by
adapting
settings
to
presence
or
absence
through
closed-loop
control.
This
critically
relies
on
use
'physiomarkers'
extracted
(neuro)physiological
signals.
Ideal
physiomarkers
for
adaptive
(aDBS)
are
indicative
severity,
detectable
every
patient,
technically
suitable
implementation.
In
last
decades,
much
effort
been
put
into
detection
local
field
potential
(LFP)
their
clinical
practice.
We
conducted
a
research
synthesis
correlations
that
have
reported
between
LFP
signal
features
one
more
specific
PD
symptoms.
Features
based
spectral
beta
band
(~
13
30
Hz)
explained
~
17%
individual
variability
bradykinesia
rigidity
severity.
Limitations
oscillations
as
physiomarker
discussed,
strategies
improvement
aDBS
explored.
Neurobiology of Disease,
Год журнала:
2023,
Номер
178, С. 106019 - 106019
Опубликована: Янв. 24, 2023
Evoked
resonant
neural
activity
(ERNA)
is
induced
by
subthalamic
deep
brain
stimulation
(DBS)
and
was
recently
suggested
as
a
marker
of
lead
placement
contact
selection
in
Parkinson's
disease.
Yet,
its
underlying
mechanisms
how
it
modulated
parameters
are
unclear.
Here,
we
recorded
local
field
potentials
from
27
disease
patients,
while
leads
were
externalised
to
scrutinise
the
ERNA.
First,
show
that
ERNA
time
series
waveform
spectrogram
likely
represent
same
activity,
which
contested
before.
Second,
our
results
has
fast
slow
dynamics
during
stimulation,
consistent
with
synaptic
failure
hypothesis.
Third,
different
DBS
frequencies,
intensities,
medication
states
modes
(continuous
vs.
adaptive
DBS).
These
suggest
might
prove
useful
predictor
best
frequency
lowest
effective
intensity
addition
selection.
Changes
levodopa
mode
may
indicate
state
cortico-basal
ganglia
circuit
making
putative
biomarker
track
clinical
DBS.
npj Parkinson s Disease,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 3, 2025
Abstract
Sensing-based
deep
brain
stimulation
should
optimally
consider
both
the
motor
and
neuropsychiatric
domain
to
maximize
quality
of
life
Parkinson’s
disease
(PD)
patients.
Here
we
characterize
neurophysiological
properties
subthalamic
nucleus
(STN)
in
69
PD
patients
using
a
newly
established
gradient
metric
contextualize
it
with
symptoms
apathy.
We
could
evidence
STN
power
that
holds
most
spectral
information
between
5
30
Hz
spanning
along
dorsal-ventral
axis.
It
shows
elevated
sub-beta
range
(8-12
Hz)
toward
ventral
STN,
dorsal
beta
(16–24
indicative
for
hemispheres
contralateral
more
affected
hemi-body
side.
The
rigidity
response
DBS
was
highest
dorsally
on
Importantly,
apathetic
can
be
related
reduced
alpha
power.
In
conclusion,
may
inform
about
domain,
supporting
integrative
closed-loop
strategies.
Brain stimulation,
Год журнала:
2022,
Номер
15(3), С. 792 - 802
Опубликована: Май 1, 2022
BackgroundNeuronal
oscillations
are
linked
to
symptoms
of
Parkinson's
disease.
This
relation
can
be
exploited
for
optimizing
deep
brain
stimulation
(DBS),
e.g.
by
informing
a
device
or
human
about
the
optimal
location,
time
and
intensity
stimulation.
Whether
predict
individual
DBS
outcome
is
not
clear
so
far.ObjectiveTo
motor
symptom
improvement
from
subthalamic
power
subthalamo-cortical
coherence.MethodsWe
applied
machine
learning
techniques
simultaneously
recorded
magnetoencephalography
local
field
potential
data
36
patients
with
Gradient-boosted
tree
was
in
combination
feature
importance
analysis
generate
understand
out-of-sample
predictions.ResultsA
few
features
sufficed
making
accurate
predictions.
A
model
operating
on
five
coherence
features,
example,
achieved
correlations
r
>
0.8
between
actual
predicted
outcomes.
Coherence
comprised
more
information
less
than
power,
although
general
their
content
comparable.
Both
signals
akinesia/rigidity
reduction
best.
The
most
important
high-beta
(20–35
Hz).
connectivity
were
subthalamo-parietal
very
high
frequency
band
(>200
Hz)
low-gamma
(36–60
Successful
prediction
due
inferring
distance
target
severity
neuronal
oscillations.ConclusionThis
study
demonstrates
first
that
predictive
outcome.
parietal
particularly
informative.
These
results
highlight
clinical
relevance
inter-areal
synchrony
basal
ganglia-cortex
loops
might
facilitate
further
improvements
future.
Brain Sciences,
Год журнала:
2022,
Номер
12(12), С. 1726 - 1726
Опубликована: Дек. 16, 2022
Intra-
and
perioperatively
recorded
local
field
potential
(LFP)
activity
of
the
nucleus
subthalamicus
(STN)
has
been
suggested
to
guide
contact
selection
in
patients
undergoing
deep
brain
stimulation
(DBS)
for
Parkinson’s
disease
(PD).
Despite
invention
sensing
capacities
chronically
implanted
devices,
a
comprehensible
algorithm
that
enables
using
such
recordings
is
still
lacking.
We
evaluated
fully
automated
uses
weighted
average
bipolar
determine
effective
monopolar
contacts
based
on
elevated
beta
band.
LFPs
from
14
hemispheres
seven
PD
with
newly
directional
DBS
leads
STN
were
recorded.
First,
determined
level
highest
activity.
Based
prior
level,
was
chosen
second
step.
The
mean
clinical
efficacy
did
not
statistically
differ
standard
as
performed
routine.
All
recording
sites
projected
into
MNI
space
investigate
feasibility
respect
anatomical
boundaries
STN.
conclude
proposed
first
step
towards
LFP-based
STN-DBS
devices.
PLoS Computational Biology,
Год журнала:
2023,
Номер
19(4), С. e1010645 - e1010645
Опубликована: Апрель 27, 2023
Motor
symptoms
of
Parkinson's
Disease
(PD)
are
associated
with
dopamine
deficits
and
pathological
oscillation
basal
ganglia
(BG)
neurons
in
the
β
range
([12-30]
Hz).
However,
how
depletion
affects
dynamics
BG
nuclei
is
still
unclear.
With
a
spiking
model,
we
here
capture
features
interactions
leading
to
oscillations
dopamine-depleted
condition.
We
highlight
that
both
loop
between
subthalamic
nucleus
(STN)
Globus
Pallidus
pars
externa
(GPe)
striatal
fast
medium
spiny
GPe
display
resonances
range,
synchronize
common
frequency
through
interaction.
Crucially,
synchronization
depends
on
depletion:
two
loops
largely
independent
for
high
levels
dopamine,
but
progressively
as
depleted
due
increased
strength
loop.
The
model
validated
against
recent
experimental
reports
role
cortical
inputs,
STN
activity
generation
oscillations.
Our
results
interplay
GPe-STN
GPe-striatum
generating
sustained
PD
subjects,
explain
this
level
dopamine.
This
paves
way
design
therapies
specifically
addressing
onset
Frontiers in Neuroscience,
Год журнала:
2023,
Номер
16
Опубликована: Янв. 11, 2023
Subthalamic
deep
brain
stimulation
(DBS)
is
an
established
therapy
to
treat
Parkinson's
disease
(PD).
To
maximize
therapeutic
outcome,
optimal
DBS
settings
must
be
carefully
selected
for
each
patient.
Unfortunately,
this
not
always
achieved
because
of:
(1)
increased
technological
complexity
of
devices,
(2)
time
restraints,
or
lack
expertise,
and
(3)
delayed
response
some
symptoms.
Biomarkers
accurately
predict
the
most
effective
patient
could
streamline
process
improve
outcomes.To
investigate
use
evoked
potentials
(EPs)
clinical
outcomes
in
PD
patients
with
DBS.In
ten
(12
hemispheres),
a
monopolar
review
was
performed
by
systematically
stimulating
on
contact
measuring
window.
Standard
imaging
data
were
collected.
EEG-based
EPs
then
recorded
at
10
Hz
50
s
DBS-contact.
Linear
mixed
models
used
assess
how
well
both
image-derived
information
predicted
data.Evoked
potential
peaks
3
ms
(P3)
(P10)
observed
nine
eleven
hemispheres,
respectively.
Clinical
using
either
P3
P10.
A
separate
model
showed
that
also
similar
accuracy.
Combining
one
yielded
highest
predictive
value.Evoked
can
responses.
further
improves
prediction.
Future
refinement
approach
may
programming,
thereby
improving
outcomes.ClinicalTrials.gov,
identifier
NCT04658641.