Bioelectronic Therapies for Chronic Pain
Liam Matthews,
No information about this author
Scott F. Lempka
No information about this author
Current Opinion in Biomedical Engineering,
Journal Year:
2025,
Volume and Issue:
34, P. 100577 - 100577
Published: Jan. 20, 2025
Language: Английский
Are we ready for automated deep brain stimulation programming?
Parkinsonism & Related Disorders,
Journal Year:
2025,
Volume and Issue:
unknown, P. 107347 - 107347
Published: Feb. 1, 2025
Language: Английский
A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
Jaleh Bagheri Hamzyan Olia,
No information about this author
Arasu Raman,
No information about this author
Chou‐Yi Hsu
No information about this author
et al.
Computers in Biology and Medicine,
Journal Year:
2025,
Volume and Issue:
189, P. 109984 - 109984
Published: March 14, 2025
Language: Английский
Peri-Lead Edema in Deep Brain Stimulation: Long-Term Outcomes and Possible Etiological Correlates
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
Abstract
Background
Deep
brain
stimulation
(DBS)
is
an
effective
surgical
procedure
for
the
treatment
of
Parkinson’s
disease
(PD)
and
other
movement
disorders.
Immediate
delayed
complications
after
DBS
surgery
have
been
described.
Peri-lead
edema
(PLE)
a
DBS-related
complication
whose
etiology
still
unknown.
Moreover,
PLE
frequency
long-term
effects
are
subjects
ongoing
debate.
Objectives
To
elucidate
clinical
neuropsychological
to
find
possible
etiological
correlates.
Methods
We
retrospectively
collected
data
from
51
PD
patients
before
one
year
DBS.
visualized
on
FLAIR
MRI
sequence
was
manually
segmented.
Using
appropriate
statistical
tests,
continuous
categorical
variables
were
compared
between
with
without
PLE.
A
multivariate
regression
model
employed
analyze
contribution
volume
changes.
Results
68.62%
presented
at
immediate
postoperative
MRI.
Patients
significantly
older
(p<0.001)
had
more
frequent
confusion
episodes
(p=0.025).
Furthermore,
MER
(microelectrode
recording)
tracks
used
in
Multiple
directly
correlated
only
significant
predictors
changes
model.
No
differences
found
variables.
Conclusions
post-surgical
event
may
cause
transient
confusion.
It
seems
linked
age
multiple
tracks.
Although
it
does
not
influence
global
motor
outcomes,
contributes
episodes.
avoid
sequelae,
using
should
be
discouraged.
Language: Английский
Neural circuit mechanisms of epilepsy: Maintenance of homeostasis at the cellular, synaptic, and neurotransmitter levels
Xueqing Du,
No information about this author
Yi Wang,
No information about this author
Xuefeng Wang
No information about this author
et al.
Neural Regeneration Research,
Journal Year:
2025,
Volume and Issue:
21(2), P. 455 - 465
Published: Jan. 13, 2025
Epilepsy,
a
common
neurological
disorder,
is
characterized
by
recurrent
seizures
that
can
lead
to
cognitive,
psychological,
and
neurobiological
consequences.
The
pathogenesis
of
epilepsy
involves
neuronal
dysfunction
at
the
molecular,
cellular,
neural
circuit
levels.
Abnormal
molecular
signaling
pathways
or
specific
cell
types
disrupting
normal
functioning
circuits.
continuous
emergence
new
technologies
rapid
advancement
existing
ones
have
facilitated
discovery
comprehensive
understanding
mechanisms
underlying
epilepsy.
Therefore,
this
review
aims
investigate
current
in
based
on
various
technologies,
including
electroencephalography,
magnetic
resonance
imaging,
optogenetics,
chemogenetics,
deep
brain
stimulation,
brain–computer
interfaces.
Additionally,
discusses
these
from
three
perspectives:
structural,
synaptic,
transmitter
findings
reveal
encompass
information
transmission
among
different
structures,
interactions
within
same
structure,
maintenance
homeostasis
neurotransmitter
These
offer
insights
for
investigating
pathophysiological
enhancing
its
clinical
diagnosis
treatment.
Language: Английский
AI-Driven Advances in Parkinson’s Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes
Brain Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 494 - 494
Published: May 9, 2025
Parkinson’s
disease
(PD)
is
a
progressive
neurodegenerative
disorder
marked
by
motor
and
non-motor
dysfunctions
that
severely
compromise
patients’
quality
of
life.
While
pharmacological
treatments
provide
symptomatic
relief
in
the
early
stages,
advanced
PD
often
requires
neurosurgical
interventions,
such
as
deep
brain
stimulation
(DBS)
focused
ultrasound
(FUS),
for
effective
symptom
management.
A
significant
challenge
optimizing
these
therapeutic
strategies
identification
recruitment
suitable
candidates
clinical
trials.
This
review
explores
role
artificial
intelligence
(AI)
advancing
neuroscience
interventions
PD,
highlighting
ways
which
AI-driven
platforms
are
transforming
trial
design
patient
selection.
Machine
learning
(ML)
algorithms
big
data
analytics
enable
precise
stratification,
risk
assessment,
outcome
prediction,
accelerating
development
novel
approaches.
These
innovations
improve
efficiency,
broaden
treatment
options,
enhance
outcomes.
However,
integrating
AI
into
frameworks
presents
challenges
standardization,
regulatory
hurdles,
need
extensive
validation.
Addressing
obstacles
will
require
collaboration
among
neurosurgeons,
neuroscientists,
specialists,
bodies
to
establish
ethical
guidelines
technologies
research.
paper
emphasizes
transformative
potential
technological
innovation
shaping
future
neurosurgery,
ultimately
enhancing
efficacy
care.
Language: Английский
Why are clinical trials of deep brain stimulation terminated? An analysis of clinicaltrials.gov
World Neurosurgery X,
Journal Year:
2024,
Volume and Issue:
23, P. 100378 - 100378
Published: April 4, 2024
Although
deep
brain
stimulation
(DBS)
has
established
uses
for
patients
with
movement
disorders
and
epilepsy,
it
is
under
consideration
a
wide
range
of
neurologic
neuropsychiatric
conditions.
Language: Английский
Navigating Deep Brain Stimulation Targets: A Three-Dimensional Video Guide for Movement Disorders
World Neurosurgery,
Journal Year:
2024,
Volume and Issue:
192, P. 126 - 126
Published: Oct. 9, 2024
Language: Английский
Predictive modeling of sensory responses in deep brain stimulation
László Halász,
No information about this author
Bastian Sajonz,
No information about this author
Gabriella Miklós
No information about this author
et al.
Frontiers in Neurology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 1, 2024
Introduction
Although
stimulation-induced
sensations
are
typically
considered
undesirable
side
effects
in
clinical
DBS
therapy,
there
emerging
scenarios,
such
as
computer-brain
interface
applications,
where
these
may
be
intentionally
created.
The
selection
of
stimulation
parameters,
whether
to
avoid
or
induce
sensations,
is
a
challenging
task
due
the
vast
parameter
space
involved.
This
study
aims
streamline
by
employing
machine
learning
model
predict
occurrence
and
somatic
location
paresthesias
response
thalamic
DBS.
Methods
We
used
dataset
comprising
3,359
paresthetic
collected
from
18
leads
10
individuals
two
centers.
For
each
stimulation,
we
modeled
Volume
Tissue
Activation
(VTA).
then
parameters
VTA
information
train
their
corresponding
areas.
Results
Our
results
show
fair
substantial
agreement
with
ground
truth
predicting
presence
DBS-evoked
paresthesias,
Kappa
values
ranging
0.31
0.72.
observed
comparable
performance
for
both
seen
unseen
cases
(Kappa
0.72
vs.
0.60).
However,
specific
locations
was
significantly
lower
(0.53
0.31).
Conclusion
suggest
that
can
potentially
optimize
selection,
leading
faster
more
efficient
postoperative
management.
Outcome
predictions
guide
programming
tuning
based
interfaces.
Language: Английский
Promising therapeutic strategies for Lennox-Gastaut syndrome: what’s new?
Frank Besag,
No information about this author
Michael J. Vasey,
No information about this author
Roy Brown
No information about this author
et al.
Expert Review of Neurotherapeutics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 13
Published: Dec. 21, 2024
Introduction
The
seizures
in
Lennox-Gastaut
syndrome
are
typically
resistant
to
treatment.
Seven
antiseizure
medications
(ASMs)
the
US
(six
UK/EU)
licensed
for
treatment
of
LGS:
lamotrigine,
topiramate,
rufinamide,
clobazam,
felbamate
(not
UK/EU),
cannabidiol
and
fenfluramine.
Other
options
include
neurostimulation,
corpus
callosotomy
dietary
therapies,
principally
ketogenic
diet
its
variants.
New
treatments
therapeutic
strategies
needed
improve
management
both
cognitive/behavioral
comorbidities
LGS.
Language: Английский