Technology and Health Care,
Год журнала:
2024,
Номер
32(6), С. 4097 - 4107
Опубликована: Ноя. 8, 2024
BACKGROUND:
The
local
field
potential
(LFP)
signals
are
a
vital
signal
for
studying
the
mechanisms
of
deep
brain
stimulation
(DBS)
and
constructing
adaptive
DBS
containing
information
related
to
motor
symptoms
Parkinson’s
disease
(PD).
OBJECTIVE:
A
state
identification
algorithm
based
on
feature
extraction
strategy
transfer
learning
was
proposed.
METHODS:
uses
continuous
wavelet
transform
(CWT)
convert
one-dimensional
LFP
into
two-dimensional
gray-scalogram
images
color
respectively,
designs
Bayesian
optimized
random
forest
(RF)
classifier
replace
three
fully
connected
layers
classification
task
in
VGG16
model,
realize
automatic
pathological
PD
patients.
RESULTS:
It
found
that
consistently
superior
performance
over
images.
proposed
achieved
an
accuracy
97.76%,
precision
99.01%,
recall
96.47%,
F1-score
97.73%,
outperforming
extractors
such
as
VGG19,
InceptionV3,
ResNet50,
lightweight
network
MobileNet.
CONCLUSIONS:
This
has
high
can
distinguish
states
patients
without
manual
extraction,
effectively
assisting
working
doctors.
Trends in Neurosciences,
Год журнала:
2023,
Номер
46(6), С. 472 - 487
Опубликована: Апрель 25, 2023
Deep
brain
stimulation
(DBS)
is
an
effective
treatment
and
has
provided
unique
insights
into
the
dynamic
circuit
architecture
of
disorders.
This
Review
illustrates
our
current
understanding
pathophysiology
movement
disorders
their
underlying
circuits
that
are
modulated
with
DBS.
It
proposes
principles
pathological
network
synchronization
patterns
like
beta
activity
(13–35
Hz)
in
Parkinson's
disease.
We
describe
alterations
from
microscale
including
local
synaptic
via
modulation
mesoscale
hypersynchronization
to
changes
whole-brain
macroscale
connectivity.
Finally,
outlook
on
advances
for
clinical
innovations
next-generation
neurotechnology
provided:
preoperative
connectomic
targeting
feedback
controlled
closed-loop
adaptive
DBS
as
individualized
network-specific
interventions.
Journal of Neurology,
Год журнала:
2023,
Номер
270(11), С. 5313 - 5326
Опубликована: Авг. 2, 2023
Abstract
Parkinson’s
disease
(PD)
is
the
second
most
common
neurodegenerative
bearing
a
severe
social
and
economic
impact.
So
far,
there
no
known
modifying
therapy
current
available
treatments
are
symptom
oriented.
Deep
Brain
Stimulation
(DBS)
established
as
an
effective
treatment
for
PD,
however
systems
lag
behind
today’s
technological
potential.
Adaptive
DBS,
where
stimulation
parameters
depend
on
patient’s
physiological
state,
emerges
important
step
towards
“smart”
strategy
that
enables
adaptive
personalized
therapy.
This
new
facilitated
by
currently
neurotechnologies
allowing
simultaneous
monitoring
of
multiple
signals,
providing
relevant
information.
Advanced
computational
models
analytical
methods
tool
to
explore
richness
data
identify
signal
properties
close
loop
in
DBS.
To
tackle
this
challenge,
machine
learning
(ML)
applied
DBS
have
gained
popularity
due
their
ability
make
good
predictions
presence
variables
subtle
patterns.
ML
based
approaches
being
explored
at
different
fronts
such
identification
electrophysiological
biomarkers
development
control
systems,
leading
relief.
In
review,
we
how
can
help
overcome
challenges
closed-loop
particularly
its
role
search
electrophysiology
biomarkers.
Promising
results
demonstrate
potential
supporting
generation
with
better
management
delivery,
resulting
more
efficient
patient-tailored
treatments.
Neurotherapeutics,
Год журнала:
2024,
Номер
21(3), С. e00348 - e00348
Опубликована: Апрель 1, 2024
Deep
Brain
Stimulation
(DBS)
has
become
a
pivotal
therapeutic
approach
for
Parkinson's
Disease
(PD)
and
various
neuropsychiatric
conditions,
impacting
over
200,000
patients.
Despite
its
widespread
application,
the
intricate
mechanisms
behind
DBS
remain
subject
of
ongoing
investigation.
This
article
provides
an
overview
current
knowledge
surrounding
local,
circuit,
neurobiochemical
effects
DBS,
focusing
on
subthalamic
nucleus
(STN)
as
key
target
in
PD
management.The
local
once
thought
to
mimic
reversible
lesion,
now
reveal
more
nuanced
interplay
with
myelinated
axons,
neurotransmitter
release,
microenvironment.
Circuit
illuminate
modulation
oscillatory
activities
within
basal
ganglia
emphasize
communication
between
STN
primary
motor
cortex.
Neurobiochemical
effects,
encompassing
changes
dopamine
levels
epigenetic
modifications,
add
further
complexity
landscape.Finally,
context
understanding
PD,
highlights
controversial
question
whether
exerts
disease-modifying
PD.
While
preclinical
evidence
suggests
neuroprotective
potential,
clinical
trials
such
EARLYSTIM
face
challenges
assessing
long-term
disease
modification
due
enrollment
timing
methodology
limitations.
The
discussion
underscores
need
robust
biomarkers
large-scale
prospective
conclusively
determine
DBS's
potential
therapy
Frontiers in Human Neuroscience,
Год журнала:
2024,
Номер
18
Опубликована: Фев. 21, 2024
The
Deep
Brain
Stimulation
(DBS)
Think
Tank
XI
was
held
on
August
9–11,
2023
in
Gainesville,
Florida
with
the
theme
of
“Pushing
Forefront
Neuromodulation”.
keynote
speaker
Dr.
Nico
Dosenbach
from
Washington
University
St.
Louis,
Missouri.
He
presented
his
research
recently
published
Nature
inn
a
collaboration
Evan
Gordon
to
identify
and
characterize
somato-cognitive
action
network
(SCAN),
which
has
redefined
motor
homunculus
led
new
hypotheses
about
integrative
networks
underpinning
therapeutic
DBS.
DBS
founded
2012
provides
an
open
platform
where
clinicians,
engineers,
researchers
(from
industry
academia)
can
freely
discuss
current
emerging
technologies,
as
well
logistical
ethical
issues
facing
field.
group
estimated
that
globally
more
than
263,000
devices
have
been
implanted
for
neurological
neuropsychiatric
disorders.
This
year's
meeting
focused
advances
following
areas:
cutting-edge
translational
neuromodulation,
physiology,
neuromodulation
Europe
Asia,
neuroethical
dilemmas,
artificial
intelligence
computational
modeling,
time
scales
mood
disorders,
future
devices.
npj Parkinson s Disease,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 20, 2025
Abstract
Neuromodulation
therapy
comprises
a
range
of
non-destructive
and
adjustable
methods
for
modulating
neural
activity
using
electrical
stimulations,
chemical
agents,
or
mechanical
interventions.
Here,
we
discuss
how
electrophysiological
brain
recording
imaging
at
multiple
scales,
from
cells
to
large-scale
networks,
contribute
defining
the
target
location
stimulation
parameters
neuromodulation,
with
an
emphasis
on
deep
(DBS).
Translational Neurodegeneration,
Год журнала:
2023,
Номер
12(1)
Опубликована: Ноя. 30, 2023
Abstract
Deep
brain
stimulation
(DBS)
is
a
well-established
and
effective
treatment
for
patients
with
advanced
Parkinson's
disease
(PD),
yet
its
underlying
mechanisms
remain
enigmatic.
Optogenetics,
primarily
conducted
in
animal
models,
provides
unique
approach
that
allows
cell
type-
projection-specific
modulation
mirrors
the
frequency-dependent
stimulus
effects
of
DBS.
Opto-DBS
research
models
plays
pivotal
role
unraveling
neuronal
synaptic
adaptations
contribute
to
efficacy
DBS
PD
treatment.
DBS-induced
responses
rely
on
complex
interplay
between
distributions
presynaptic
inputs,
depression,
intrinsic
excitability
postsynaptic
neurons.
This
orchestration
leads
conversion
firing
patterns,
enabling
both
antidromic
orthodromic
neural
circuits.
Understanding
these
vital
decoding
position-
programming-dependent
Furthermore,
patterned
emerging
as
promising
strategy
yielding
long-lasting
therapeutic
benefits.
Research
may
pave
way
development
more
enduring
precise
patterns.
Advanced
technologies,
such
adaptive
or
directional
electrodes,
can
also
be
integrated
circuit-specific
neuromodulation.
These
insights
hold
potential
greatly
improve
effectiveness
advance
new
levels.
Journal of Neural Engineering,
Год журнала:
2023,
Номер
20(2), С. 026003 - 026003
Опубликована: Март 7, 2023
Abstract
Objective.
While
brain
stimulation
therapies
such
as
deep
for
Parkinson’s
disease
(PD)
can
be
effective,
they
have
yet
to
reach
their
full
potential
across
neurological
disorders.
Entraining
neuronal
rhythms
using
rhythmic
has
been
suggested
a
new
therapeutic
mechanism
restore
neurotypical
behaviour
in
conditions
chronic
pain,
depression,
and
Alzheimer’s
disease.
However,
theoretical
experimental
evidence
indicate
that
also
entrain
at
sub-
super-harmonics,
far
from
the
frequency.
Crucially,
these
counterintuitive
effects
could
harmful
patients,
example
by
triggering
debilitating
involuntary
movements
PD.
We
therefore
seek
principled
approach
selectively
promote
close
frequency,
while
avoiding
preventing
entrainment
super-harmonics.
Approach.
Our
open-loop
selective
entrainment,
dithered
stimulation,
consists
adding
white
noise
period.
Main
results.
theoretically
establish
ability
of
given
rhythm,
verify
its
efficacy
simulations
uncoupled
neural
oscillators,
networks
coupled
oscillators.
Furthermore,
we
show
implemented
neurostimulators
with
limited
capabilities
toggling
within
finite
set
frequencies.
Significance.
Likely
implementable
variety
existing
devices,
dithering-based
enable
therapies,
well
neuroscientific
research
exploiting
modulate
higher-order
entrainment.
Neurotherapeutics,
Год журнала:
2024,
Номер
21(3), С. e00356 - e00356
Опубликована: Апрель 1, 2024
Deep
brain
stimulation
(DBS)
is
an
established
therapeutic
tool
for
the
treatment
of
Parkinson's
disease
(PD).
The
mechanisms
DBS
PD
are
likely
rooted
in
modulation
subthalamo-pallidal
network.
However,
it
can
be
difficult
to
electrophysiologically
interrogate
that
network
human
patients.
recent
identification
large
amplitude
evoked
potential
(EP)
oscillations
from
subthalamic
nucleus
(STN)
or
globus
pallidus
internus
(GPi)
providing
new
scientific
opportunities
expand
understanding
basal
ganglia
activity.
In
turn,
goal
this
review
provide
a
summary
DBS-induced
EPs
and
attempt
explain
various
components
EP
waveforms
their
origins.
Our
analyses
suggest
antidromic
activation
externus
(GPe)
key
driver
these
oscillatory
EPs,
independent
location
(i.e.
STN
GPi).
This
suggests
potentially
more
important
role
GPe
than
typically
assumed.
And
practical
perspective,
poised
become
clinically
useful
electrophysiological
biomarker
signals
verification
target
engagement.
European Journal of Neuroscience,
Год журнала:
2025,
Номер
61(5)
Опубликована: Март 1, 2025
Nitrous
oxide
is
a
common
gaseous
anesthetic
used
in
wide
range
of
medical
procedures
due
to
its
desirable
combination
and
analgesic
properties.
Deep
brain
stimulation
surgery,
well-established
treatment
for
movement
disorders
like
Parkinson's
disease,
often
requires
precise
microelectrode
recordings
the
awake
brain's
electrical
signals
optimal
results.
However,
influence
anesthetics
on
these
remains
critical
consideration.
This
study
investigated
how
nitrous
general
anesthesia
supplemented
by
ketamine
affects
electrophysiology
subthalamic
nucleus
compared
low-dose
sedation
during
deep
targeting
disease
patients.
Spectral
analysis
electrophysiological
characteristics
statistical
dimensions
were
performed
retrospective
data
from
three
centers.
Our
findings
revealed
that
nitrous-ketamine
allows
identification,
despite
slight
decrease
overall
activity
level.
Nevertheless,
showed
significantly
lower
beta
frequency
power
inside
groups.
At
group
level,
many
trajectories,
delineation
subdomains
can
be
achieved
detection
changes
delta
oscillations.
Notably,
no
differences
found
between
These
suggest
it
possible
recognize
entrance
exit
with
high
confidence
under
oxide-ketamine
anesthesia.
motor
subregion
more
difficult
delineate
than
or
awake,
which
may
affect
outcome.