The Journal of Physiology,
Год журнала:
2023,
Номер
602(2), С. 373 - 395
Опубликована: Дек. 12, 2023
Abstract
Parkinson's
disease
is
characterized
by
exaggerated
beta
activity
(13–35
Hz)
in
cortico‐basal
ganglia
motor
loops.
Beta
includes
both
periodic
fluctuations
(i.e.
oscillatory
activity)
and
aperiodic
reflecting
spiking
excitation/inhibition
balance
non‐oscillatory
activity).
However,
the
relative
contribution,
dopamine
dependency
clinical
correlations
of
vs
.
remain
unclear.
We
recorded,
modelled
analysed
subthalamic
local
field
potentials
parkinsonian
patients
at
rest
while
off
or
on
medication.
Autoregressive
modelling
with
additive
1/
f
noise
clarified
relationships
between
measures
time
domain
amplitude
duration
bursts)
frequency
power
sharpness
spectral
peak)
activity:
burst
are
specifically
sensitive
to
activity,
whereas
ambiguously
activity.
Our
experimental
data
confirmed
model
predictions
assumptions.
subsequently
effect
levodopa,
obtaining
strong‐to‐extreme
Bayesian
evidence
that
reduced
medication,
moderate
for
absence
modulation
component.
Finally,
component
correlated
rate
progression
disease.
Methodologically,
these
results
provide
an
integrative
understanding
beta‐based
biomarkers
relevant
adaptive
deep
brain
stimulation.
Biologically,
they
suggest
primarily
dependent
may
play
a
role
not
only
pathophysiology
but
also
image
Key
points
true
synaptic
The
Burst
Only
dopamine‐dependent.
Stronger
correlates
faster
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.
Abstract
Information
flow
in
brain
networks
is
reflected
local
field
potentials
that
have
both
periodic
and
aperiodic
components.
The
1/fχ
component
of
the
power
spectra
tracks
arousal
correlates
with
other
physiological
pathophysiological
states.
Here
we
explored
activity
human
thalamus
basal
ganglia
relation
to
simultaneously
recorded
cortical
activity.
We
elaborated
on
parameterization
implemented
by
specparam
(formerly
known
as
FOOOF)
avoid
parameter
unidentifiability
obtain
independent
more
easily
interpretable
parameters.
This
allowed
us
seamlessly
fit
without
an
knee,
a
captures
change
slope
component.
found
exponent
χ,
which
reflects
decay
frequency,
correlated
Parkinson’s
disease
symptom
severity.
Interestingly,
no
knee
was
detected
from
thalamus,
pallidum,
or
subthalamic
nucleus,
exhibited
significantly
lower
than
cortex.
These
differences
were
replicated
epilepsy
patients
undergoing
intracranial
monitoring
included
thalamic
recordings.
consistently
lack
all
subcortical
recordings
may
reflect
cytoarchitectonic
and/or
functional
differences.
Significance
statement
can
be
modeled
produce
useful
reproducible
indices
neural
refined
widely
used
phenomenological
model
for
extracting
parameters
(namely
exponent,
offset
knee),
cortical,
ganglia,
potentials,
unique
cohorts
movement
disorders
patients.
motor
cortex
higher
Parkinson's
severe
symptoms,
suggesting
features
potential
electrophysiological
biomarkers
symptoms.
Remarkably,
conspicuous
signals
compared
those
neocortex.
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).
European Journal of Neuroscience,
Год журнала:
2025,
Номер
61(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Excessive
beta
oscillations
in
the
subthalamic
nucleus
are
established
as
a
primary
electrophysiological
biomarker
for
motor
impairment
Parkinson's
disease
and
currently
used
feedback
signals
adaptive
deep
brain
stimulation
systems.
However,
there
is
still
need
optimization
of
parameters
identification
optimal
biomarkers
that
can
accommodate
varying
patient
conditions,
such
ON
OFF
levodopa
medication.
The
precise
boundaries
‘pathological’
oscillatory
ranges,
associated
with
different
aspects
impairment,
not
fully
clarified.
In
this
study,
we
hypothesized
analysing
periodic
aperiodic
components
activity
separately
identifying
functionally
distinct
subranges
within
8–35
Hz
based
on
properties
may
reveal
robust
specific
impairment.
We
analysed
14
patients
disease.
Local
field
potentials
were
recorded
at
rest
from
externalized
electrodes
postoperatively,
both
before
after
administration.
showed
administration
suppressed
across
broad
frequency
range
(11–32
Hz)
increased
slope
component.
Changes
correlated
symptom
alleviation.
Periodic
was
linked
to
severity:
Peak
amplitude
14‐
20‐Hz
overall
state,
whereas
7‐
11‐Hz
bradykinesia
state.
Our
findings
suggest
that,
addition
low
beta,
alpha
component
serve
promising
potential
DBS
Brain Research,
Год журнала:
2024,
Номер
1840, С. 149052 - 149052
Опубликована: Июнь 5, 2024
Abnormalities
in
brain
oscillatory
patterns
have
long
been
observed
schizophrenia
and
psychotic
disorders
more
broadly.
However,
far
less
is
known
about
aperiodic
neural
activity
these
disorders,
which
has
linked
to
excitation/inhibition
balance
neuronal
population
spiking
within
the
brain.
Here,
we
analysed
resting-state
electroencephalographic
(EEG)
recordings
from
43
first
episode
spectrum
psychosis
(FESSP)
patients
28
healthy
controls
examine
whether
disrupted
FESSP.
We
further
assessed
potential
associations
between
FESSP
clinical
symptom
severity
using
Brief
Psychiatric
Rating
Scale
(BPRS),
for
Assessment
of
Negative
Symptoms
(SANS),
Positive
(SAPS).
found
no
significant
differences
either
1/f-like
exponent
or
broadband
offset
control
groups
when
analysing
global
signal
averaged
across
all
EEG
electrodes.
Bayesian
analyses
supported
non-significant
findings.
additional
non-parametric
cluster-based
permutation
did
identify
reduced
group,
relative
broad
central,
temporal,
parietal
select
frontal
regions.
No
were
examining
participants,
irrespective
antipsychotic
medication
status.
was
shown
predict
BPRS
SANS
scores
naive
patients.
In
sum,
this
research
presents
an
initial
analysis
FESSP,
offering
preliminary
evidence
altered
disorder.
This
contributes
a
broader
understanding
dynamics
early
psychosis.
EBioMedicine,
Год журнала:
2024,
Номер
105, С. 105201 - 105201
Опубликована: Июнь 21, 2024
Research
in
healthy
young
adults
shows
that
characteristic
patterns
of
brain
activity
define
individual
"brain-fingerprints"
are
unique
to
each
person.
However,
variability
these
brain-fingerprints
increases
individuals
with
neurological
conditions,
challenging
the
clinical
relevance
and
potential
impact
approach.
Our
study
derived
from
neurophysiological
associated
pathophysiological
traits
patients
Parkinson's
disease
(PD).
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 13, 2025
Abstract
Beta
oscillations
(±
13-35
Hz)
and
aperiodic
spectral
features
extracted
from
local
field
potential
(LFP)
recordings
have
been
identified
as
promising
physiomarkers
for
adaptive
deep
brain
stimulation
(aDBS)
in
Parkinson's
disease.
However,
the
long-term
consistency
of
these
signal
patients
years
after
DBS
implantation
is
still
unclear.
Bilateral
subthalamic
nucleus
LFPs
were
recorded
twelve
with
an
average
inter-recording
interval
137
days,
during
rest,
a
finger-to-nose
task
speech,
switched
off
on.
Intra-class
correlation
coefficients
indicated
moderate
between-visit
offset
exponent
but
good
to
excellent
beta
peak
power.
Task
execution
induced
power
changes
that
statistically
comparable
across
visits.
Results
remained
inconclusive
regarding
which
peaks
exhibited
strongest
suppression
post-stimulation.
Our
findings
support
primary
physiomarker
aDBS,
components
serving
supplementary
markers.
npj Parkinson s Disease,
Год журнала:
2024,
Номер
10(1)
Опубликована: Июнь 15, 2024
The
subthalamic
nucleus
(STN)
is
pivotal
in
basal
ganglia
function
health
and
disease.
Micro-electrode
recordings
of
>25,000
recording
sites
from
146
Parkinson's
patients
undergoing
deep
brain
stimulation
(DBS)
allowed
differentiation
between
input,
represented
by
local
field
potential
(LFP),
output,
reflected
spike
discharge
rate
(SPK).
As
with
many
natural
systems,
STN
neuronal
activity
exhibits
power-law
dynamics
characterized
the
exponent
α.
We,
therefore,
dissected
data
into
aperiodic
periodic
components
using
Fitting
Oscillations
&
One
Over
F
(FOOOF)
tool.
LFP
showed
significantly
higher
exponents
than
SPK.
Additionally,
SPK
beta
oscillations
demonstrated
a
downward
frequency
shift
compared
to
LFP.
Finally,
spiking
parameters
explained
significant
fraction
variance
burden
treatment
efficacy
unique
input-output
may
clarify
its
role
physiology
can
be
utilized
closed-loop
DBS
therapy.