Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 20, 2024
Abstract
Analysis
of
coupling
between
the
phases
and
amplitudes
neural
oscillations
has
gained
increasing
attention
as
an
important
mechanism
for
large-scale
brain
network
dynamics.
In
Parkinson’s
disease
(PD),
preliminary
evidence
indicates
abnormal
beta-phase
to
gamma-amplitude
in
different
areas,
including
subthalamic
nucleus
(STN).
We
analyzed
bilateral
STN
local
field
potentials
(LFPs)
eight
subjects
with
PD
chronically
implanted
deep
stimulation
electrodes
during
upright
quiet
standing
unperturbed
walking.
Phase-amplitude
(PAC)
was
computed
using
Kullback-Liebler
method,
based
on
modulation
index.
Neurophysiological
recordings
were
correlated
clinical
kinematic
measurements
individual
molecular
imaging
studies
([
123
I]FP-CIT
single-photon
emission
tomography).
showed
a
dopamine-related
increase
beta-gamma
PAC
from
Patients
poor
low
walking
spent
significantly
more
time
stance
double
support
phase
gait
cycle.
Our
results
provide
new
insights
into
contribution
human
suggest
cross-frequency
gateway
convey
patient-specific
information
motor
control
locomotion.
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.
Cyborg and Bionic Systems,
Год журнала:
2023,
Номер
4
Опубликована: Янв. 1, 2023
Cross-frequency
coupling
(CFC)
reflects
(nonlinear)
interactions
between
signals
of
different
frequencies.
Evidence
from
both
patient
and
healthy
participant
studies
suggests
that
CFC
plays
an
essential
role
in
neuronal
computation,
interregional
interaction,
disease
pathophysiology.
The
present
review
discusses
methodological
advances
challenges
the
computation
with
particular
emphasis
on
potential
solutions
to
spurious
coupling,
inferring
intrinsic
rhythms
a
targeted
frequency
band,
causal
interferences.
We
specifically
focus
literature
exploring
context
cognition/memory
tasks,
sleep,
neurological
disorders,
such
as
Alzheimer's
disease,
epilepsy,
Parkinson's
disease.
Furthermore,
we
highlight
implication
for
optimization
invasive
noninvasive
neuromodulation
rehabilitation.
Mainly,
could
support
advancing
understanding
neurophysiology
cognition
motor
control,
serve
biomarker
symptoms,
leverage
therapeutic
interventions,
e.g.,
closed-loop
brain
stimulation.
Despite
evident
advantages
investigative
translational
tool
neuroscience,
further
improvements
are
required
facilitate
practical
correct
use
cyborg
bionic
systems
field.
npj Digital Medicine,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 4, 2025
Abstract
Adaptive
deep
brain
stimulation
(DBS)
provides
individualized
therapy
for
people
with
Parkinson’s
disease
(PWP)
by
adjusting
the
in
real-time
using
neural
signals
that
reflect
their
motor
state.
Current
algorithms,
however,
utilize
condensed
and
manually
selected
features
which
may
result
a
less
robust
biased
therapy.
In
this
study,
we
propose
Neural-to-Gait
Neural
network
(N2GNet),
novel
learning-based
regression
model
capable
of
tracking
gait
performance
from
subthalamic
nucleus
local
field
potentials
(STN
LFPs).
The
LFP
data
were
acquired
when
eighteen
PWP
performed
stepping
place,
ground
reaction
forces
measured
to
track
weight
shifts
representing
performance.
By
exhibiting
stronger
correlation
compared
higher-correlation
beta
power
two
leads
outperforming
other
evaluated
designs,
N2GNet
effectively
leverages
comprehensive
frequency
band,
not
limited
range,
solely
STN
LFPs.
Brain
signal
decoding
promises
significant
advances
in
the
development
of
clinical
brain
computer
interfaces
(BCI).
In
Parkinson’s
disease
(PD),
first
bidirectional
BCI
implants
for
adaptive
deep
stimulation
(DBS)
are
now
available.
can
extend
utility
DBS
but
impact
neural
source,
computational
methods
and
PD
pathophysiology
on
performance
unknown.
This
represents
an
unmet
need
future
neurotechnology.
To
address
this,
we
developed
invasive
brain-signal
approach
based
intraoperative
sensorimotor
electrocorticography
(ECoG)
subthalamic
LFP
to
predict
grip-force,
a
representative
movement
application,
11
patients
undergoing
DBS.
We
demonstrate
that
ECoG
is
superior
accurate
grip-force
decoding.
Gradient
boosted
decision
trees
(XGBOOST)
outperformed
other
model
architectures.
negatively
correlated
with
motor
impairment,
which
could
be
attributed
beta
bursts
preparation
period.
highlights
capacity
encode
vigor.
Finally,
connectomic
analysis
individual
channels
across
by
using
their
fingerprints.
Our
study
provides
neurophysiological
framework
aid
individualized
precision-medicine
intelligent
Regenerative Biomaterials,
Год журнала:
2025,
Номер
12
Опубликована: Янв. 1, 2025
Abstract
Neurological
injuries
and
diseases
are
a
leading
cause
of
disability
worldwide,
underscoring
the
urgent
need
for
effective
therapies.
Neural
regaining
enhancement
therapies
seen
as
most
promising
strategies
restoring
neural
function,
offering
hope
individuals
affected
by
these
conditions.
Despite
their
promise,
path
from
animal
research
to
clinical
application
is
fraught
with
challenges.
Neuroengineering,
particularly
through
use
biomaterials,
has
emerged
key
field
that
paving
way
innovative
solutions
It
seeks
understand
treat
neurological
disorders,
unravel
nature
consciousness,
explore
mechanisms
memory
brain’s
relationship
behavior,
tissue
engineering,
interfaces
targeted
drug
delivery
systems.
These
including
both
natural
synthetic
types,
designed
replicate
cellular
environment
brain,
thereby
facilitating
repair.
This
review
aims
provide
comprehensive
overview
biomaterials
in
neuroengineering,
highlighting
functional
across
basic
practice.
covers
recent
developments
biomaterial-based
products,
2D
3D
bioprinted
scaffolds
cell
organoid
culture,
brain-on-a-chip
systems,
biomimetic
electrodes
brain–computer
interfaces.
also
explores
artificial
synapses
networks,
discussing
applications
modeling
microenvironments
repair
regeneration,
modulation
manipulation
integration
traditional
Chinese
medicine.
serves
guide
role
advancing
neuroengineering
solutions,
providing
insights
into
ongoing
efforts
bridge
gap
between
innovation
application.
Journal of Neurology,
Год журнала:
2025,
Номер
272(4)
Опубликована: Март 12, 2025
Abstract
Next-generation
neurostimulators
capable
of
running
closed-loop
adaptive
deep
brain
stimulation
(aDBS)
are
about
to
enter
the
clinical
landscape
for
treatment
Parkinson’s
disease.
Already
promising
results
using
aDBS
have
been
achieved
symptoms
such
as
bradykinesia,
rigidity
and
motor
fluctuations.
However,
heterogeneity
freezing
gait
(FoG)
with
its
wide
range
presentations
exacerbation
cognitive
emotional
load
make
it
more
difficult
predict
treat.
Currently,
a
successful
strategy
ameliorate
FoG
lacks
robust
oscillatory
biomarker.
Furthermore,
technical
implementation
suppressing
an
upcoming
episode
in
real-time
represents
significant
challenge.
This
review
describes
neurophysiological
signals
underpinning
explains
how
is
currently
being
implemented.
we
offer
discussion
addressing
both
theoretical
practical
areas
that
will
need
be
resolved
if
going
able
unlock
full
potential
treat
FoG.
Ageing Research Reviews,
Год журнала:
2023,
Номер
93, С. 102147 - 102147
Опубликована: Ноя. 28, 2023
Cardinal
motor
symptoms
in
Parkinson's
disease
(PD)
include
bradykinesia,
rest
tremor
and/or
rigidity.
This
symptomatology
can
additionally
encompass
abnormal
gait,
balance
and
postural
patterns
at
advanced
stages
of
the
disease.
Besides
pharmacological
surgical
therapies,
physical
exercise
represents
an
important
strategy
for
management
these
impairments.
Traditionally,
diagnosis
classification
such
abnormalities
have
relied
on
partially
subjective
evaluations
performed
by
neurologists
during
short
temporally
scattered
hospital
appointments.
Emerging
sports
medical
methods,
including
wearable
sensor-based
movement
assessment
computational-statistical
analysis,
are
paving
way
more
objective
systematic
diagnoses
everyday
life
conditions.
These
approaches
hold
promise
to
facilitate
customizing
clinical
trials
specific
PD
groups,
as
well
personalizing
neuromodulation
therapies
prescriptions
each
individual,
remotely
regularly,
according
progression
or
symptoms.
We
aim
summarize
benefits
with
a
emphasis
gait
deficits,
provide
overview
recent
advances
analysis
approaches,
notably
from
science
community,
value
prognosis.
Although
techniques
becoming
increasingly
available,
their
standardization
optimization
purposes
is
critically
missing,
especially
translation
complex
neurodegenerative
disorders
PD.
highlight
importance
integrating
state-of-the-art
combination
other
motor,
electrophysiological
neural
biomarkers,
improve
understanding
diversity
phenotypes,
response
dynamics
progression.
