From Prodromal Stages to Clinical Trials: The Promise of Digital Speech Biomarkers in Parkinson's Disease
Neuroscience & Biobehavioral Reviews,
Journal Year:
2024,
Volume and Issue:
167, P. 105922 - 105922
Published: Oct. 18, 2024
Language: Английский
The application of Non-invasive Neuromodulation in Stuttering: Current Status and Future Directions
Journal of Fluency Disorders,
Journal Year:
2025,
Volume and Issue:
83, P. 106100 - 106100
Published: Jan. 27, 2025
Language: Английский
The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 6, 2025
Speech
impediments
(SIs)
are
increasingly
prevalent
among
middle-aged
and
older
adults,
raising
concerns
within
public
health.
Early
detection
of
potential
SI
in
this
demographic
is
critical.
This
study
investigates
the
Activities
Daily
Living
(ADL)
as
a
predictive
marker
for
SI,
utilizing
data
from
2018
China
Health
Retirement
Longitudinal
Study
(CHARLS),
which
includes
10,136
individuals
aged
45
above.
The
Barthel
Index
(BI)
was
used
to
assess
ADL,
correlation
between
ADL
examined
through
statistical
analyses.
Machine
learning
algorithms
(Support
Vector
Machine,
Decision
Tree,
Logistic
Regression)
were
employed
validate
findings
elucidate
underlying
relationship
SI.
poses
significant
challenges
health
quality
life
increasing
demands
on
community-based
home
care
services.
In
context
global
aging,
it
crucial
investigate
factors
contributing
While
role
biomarker
remains
unclear,
aims
provide
new
evidence
supporting
an
early
predictor
analysis
machine
validation.
Data
derived
CHARLS
national
baseline
survey,
comprising
participants
evaluated
using
BI,
assessed
based
records
"Speech
impediments."
Statistical
analyses,
including
independent
sample
t-tests,
chi-square
tests,
Pearson
Spearman
hierarchical
multiple
linear
regression,
conducted
SPSS
25.0.
algorithms,
specifically
Support
(SVM),
Tree
(DT),
Regression
(LR),
implemented
Python
3.10.2.
Analysis
characteristics
revealed
that
average
BI
score
"With
impediments"
group
49.46,
significantly
lower
than
85.11
"Without
group.
indicated
negative
(r
=
-0.205,
p
<
0.001).
Hierarchical
regression
confirmed
robustness
across
three
models
(B
-0.001,
β
-0.168,
t
-16.16,
95%
CI
-0.001
0.000).
validated
findings,
confirming
accuracy
with
area
under
curve
(AUC)
scores
SVM-AUC
0.648,
DT-AUC
0.931,
LR-AUC
0.666.
inclusion
improved
overall
performance,
highlighting
its
positive
impact
prediction.
various
methodologies
demonstrate
finding
further
corroborated
by
algorithms.
Impairment
increases
likelihood
occurrence,
underscoring
importance
maintaining
populations
mitigate
risk
Language: Английский
Improving Stuttering Through Augmented Multisensory Feedback Stimulation
Giovanni Muscarà,
No information about this author
Alessandra Vergallito,
No information about this author
Valentina Letorio
No information about this author
et al.
Brain Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 246 - 246
Published: Feb. 25, 2025
Background/Objectives:
Stuttering
is
a
speech
disorder
involving
fluency
disruptions
like
repetitions,
prolongations,
and
blockages,
often
leading
to
emotional
distress
social
withdrawal.
Here,
we
present
Augmented
Multisensory
Feedback
Stimulation
(AMFS),
novel
personalized
intervention
improve
in
people
who
stutter
(PWS).
AMFS
includes
five-day
intensive
phase
aiming
at
acquiring
new
skills,
plus
reinforcement
designed
facilitate
the
transfer
of
these
skills
across
different
contexts
their
automatization
into
effortless
behaviors.
The
concept
our
derives
from
prediction
neurocomputational
model
Directions
Velocities
Articulators
(DIVA).
treatment
applies
dynamic
multisensory
stimulation
disrupt
PWS’
maladaptive
over-reliance
on
sensory
feedback
mechanisms,
promoting
emergence
participants’
natural
voices.
Methods:
Forty-six
PWS
control
group,
including
twenty-four
non-stuttering
individuals,
participated
this
study.
severity
physiological
measures,
such
as
heart
rate
electromyographic
activity,
were
recorded
before
after
during
stage
but
only
once
controls.
Results:
results
showed
significant
reduction
stuttering
end
phase,
which
was
maintained
training.
Crucially,
worse
performance
found
than
controls
baseline
not
intervention.
In
PWS,
signals
activity
training
phases
compared
baseline.
Conclusions:
Our
findings
show
that
provides
promising
approach
enhancing
fluency.
Future
studies
should
clarify
mechanisms
underlying
assess
whether
effects
persist
conclusion.
Language: Английский
Spike-phase coupling of subthalamic neurons to posterior perisylvian cortex predicts speech sound accuracy
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: April 9, 2025
Speech
provides
a
rich
context
for
understanding
how
cortical
interactions
with
the
basal
ganglia
contribute
to
unique
human
behaviors,
but
opportunities
direct
intracranial
recordings
across
cortical-basal
networks
are
rare.
Here
we
have
recorded
electrocorticographic
signals
in
cortex
synchronously
single
units
during
awake
neurosurgeries
where
participants
spoke
syllable
repetitions.
We
discovered
that
individual
subthalamic
nucleus
(STN)
neurons
transient
(200
ms)
spike-phase
coupling
(SPC)
events
multiple
regions.
The
spike
timing
of
STN
is
locked
phase
theta-alpha
oscillations
supramarginal
and
posterior
superior
temporal
gyrus
speech
planning
production.
sound
errors
occur
when
this
STN-cortical
interaction
delayed.
Our
results
suggest
timely
between
perisylvian
support
auditory-motor
coordinate
transformation
or
phonological
working
memory
planning.
These
findings
establish
framework
other
additionally
indicate
firing-rate
based
models
insufficient
explaining
circuit
behavior.
Language: Английский
Influences of speaking task demands on sensorimotor oscillations in adults who stutter: Implications for speech motor control
Eric W. Brown,
No information about this author
Andrew Bowers,
No information about this author
M. Blake Rafferty
No information about this author
et al.
Clinical Neurophysiology,
Journal Year:
2024,
Volume and Issue:
169, P. 76 - 88
Published: Nov. 10, 2024
Language: Английский
Characterizing Drug-Induced Stuttering in Electronic Health Records
Journal of Communication Disorders,
Journal Year:
2024,
Volume and Issue:
113, P. 106475 - 106475
Published: Nov. 19, 2024
Language: Английский
Transient Stuttering as a Sole Presentation in a Patient With a Subcentimeter Left Frontal Cortical Ischemic Infarct
Ethan Salter,
No information about this author
Sophia Salter,
No information about this author
William Im
No information about this author
et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 15, 2024
Stuttering
is
a
complex
speech
disorder
that
associated
with
variety
of
etiologies,
including
psychological
factors,
metabolic
disorders,
and
structural
abnormalities.
While
stuttering
typically
not
caused
by
stroke,
it
important
to
include
in
the
diagnostic
evaluation,
especially
patients
history
neurological
conditions.
Of
clinical
presentations
stroke-induced
stuttering,
transient
following
stroke
has
seldom
been
documented,
as
most
who
develop
stutter
end
up
developing
permanent
deficits.
Additionally,
cases
are
part
broader
presentation,
generally
does
present
an
isolated
symptom.
Furthermore,
although
strokes
various
sizes
have
implicated
quite
uncommon
for
affected
lesion
be
smaller
than
1
cm.
We
rare
case
transient,
subcentimeter
subsequent
review
relevant
literature.
Our
report
highlights
diversity
stroke-related
disorders
importance
considering
even
minor
differential
diagnosis
stuttering.
Language: Английский