Therapeutic Advances in Neurological Disorders,
Год журнала:
2024,
Номер
17
Опубликована: Янв. 1, 2024
Background:
Drug-resistant
epilepsy
(DRE)
patients
exhibit
aberrant
large-scale
brain
networks.
Objective:
The
purpose
of
investigation
is
to
explore
the
differences
in
resting-state
electroencephalogram
(EEG)
microstates
between
with
DRE
and
well-controlled
(W-C)
epilepsy.
Design:
Retrospective
study.
Methods:
Clinical
data
treated
at
Epilepsy
Center
Fujian
Medical
University
Union
Hospital
from
January
2020
May
2023
were
collected
for
a
minimum
follow-up
period
2
years.
Participants
meeting
inclusion
exclusion
criteria
categorized
into
two
groups
based
on
records:
W-C
group
group.
To
ensure
that
recorded
EEG
not
influenced
by
medication,
all
recordings
before
commenced
any
antiepileptic
drug
treatment.
Resting-state
datasets
participants
underwent
microstate
analysis.
This
study
comprehensively
compared
average
duration,
frequency
per
second,
coverage,
transition
probabilities
(TPs)
each
groups.
Results:
A
total
289
individuals
who
met
included,
(
n
=
112)
177).
analysis
revealed
substantial
variances
highlights
three
four
classifications.
Microstate
demonstrated
altered
patients.
Increased
observed
TP
AB
,
BA
BC
CB
BD
DB
.
Decreased
included
CA
DA
AC
AD
CD
DC
Conclusion:
distinctive
parameters
TPs
those
results
may
potentially
advance
clinical
application
microstates.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 27, 2024
Abstract
The
ability
to
maintain
our
body’s
balance
and
stability
in
space
is
crucial
for
performing
daily
activities.
Effective
postural
control
(PC)
strategies
rely
on
integrating
visual,
vestibular,
proprioceptive
sensory
inputs.
While
neuroimaging
has
revealed
key
areas
involved
PC—including
brainstem,
cerebellum,
cortical
networks—the
rapid
neural
mechanisms
underlying
dynamic
tasks
remain
less
understood.
Therefore,
we
used
EEG
microstate
analysis
within
the
BioVRSea
experiment
explore
temporal
brain
dynamics
that
support
PC.
This
complex
paradigm
simulates
maintaining
an
upright
posture
a
moving
platform,
integrated
with
virtual
reality
(VR),
replicate
sensation
of
balancing
boat.
Data
were
acquired
from
266
healthy
subjects
using
64-channel
system.
Using
modified
k-means
method,
five
maps
identified
best
model
paradigm.
Differences
each
feature
(occurrence,
duration,
coverage)
between
experimental
phases
analyzed
linear
mixed
model,
revealing
significant
differences
microstates
phases.
parameters
C
showed
significantly
higher
levels
all
compared
other
maps,
whereas
B
displayed
opposite
pattern,
consistently
showing
lower
levels.
study
marks
first
attempt
use
during
task,
demonstrating
decisive
role
and,
conversely,
differentiating
PC
These
results
demonstrate
technique
studying
potential
application
early
detection
neurodegenerative
diseases.
Brain Sciences,
Год журнала:
2024,
Номер
15(1), С. 27 - 27
Опубликована: Дек. 29, 2024
Background:
The
segmentation
of
electroencephalography
(EEG)
signals
into
a
limited
number
microstates
is
significant
importance
in
the
field
cognitive
neuroscience.
Currently,
microstate
analysis
algorithm
based
on
global
power
has
demonstrated
its
efficacy
clustering
resting-state
EEG.
task-related
EEG
was
extensively
analyzed
brain–computer
interfaces
(BCIs);
however,
primary
objective
classification
rather
than
segmentation.
Methods:
We
propose
an
innovative
for
analyzing
spatial
patterns,
Riemannian
distance,
and
modified
deep
autoencoder.
this
to
achieve
unsupervised
signals.
Results:
proposed
validated
through
experiments
conducted
simulated
data
two
publicly
available
task
datasets.
evaluation
results
statistical
tests
demonstrate
robustness
efficiency
microstates.
Conclusions:
can
autonomously
discretize
finite
microstates,
thereby
facilitating
investigations
temporal
structures
underlying
processes.
Therapeutic Advances in Neurological Disorders,
Год журнала:
2024,
Номер
17
Опубликована: Янв. 1, 2024
Background:
Drug-resistant
epilepsy
(DRE)
patients
exhibit
aberrant
large-scale
brain
networks.
Objective:
The
purpose
of
investigation
is
to
explore
the
differences
in
resting-state
electroencephalogram
(EEG)
microstates
between
with
DRE
and
well-controlled
(W-C)
epilepsy.
Design:
Retrospective
study.
Methods:
Clinical
data
treated
at
Epilepsy
Center
Fujian
Medical
University
Union
Hospital
from
January
2020
May
2023
were
collected
for
a
minimum
follow-up
period
2
years.
Participants
meeting
inclusion
exclusion
criteria
categorized
into
two
groups
based
on
records:
W-C
group
group.
To
ensure
that
recorded
EEG
not
influenced
by
medication,
all
recordings
before
commenced
any
antiepileptic
drug
treatment.
Resting-state
datasets
participants
underwent
microstate
analysis.
This
study
comprehensively
compared
average
duration,
frequency
per
second,
coverage,
transition
probabilities
(TPs)
each
groups.
Results:
A
total
289
individuals
who
met
included,
(
n
=
112)
177).
analysis
revealed
substantial
variances
highlights
three
four
classifications.
Microstate
demonstrated
altered
patients.
Increased
observed
TP
AB
,
BA
BC
CB
BD
DB
.
Decreased
included
CA
DA
AC
AD
CD
DC
Conclusion:
distinctive
parameters
TPs
those
results
may
potentially
advance
clinical
application
microstates.
