Lethal Interactions of neuronal networks in epilepsy mediated by both synaptic and volume transmission indicate approaches to prevention
Progress in Neurobiology,
Год журнала:
2025,
Номер
249, С. 102770 - 102770
Опубликована: Апрель 19, 2025
Язык: Английский
Artificial intelligence, digital technology, and mobile health in epilepsy
Epilepsia,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 26, 2025
Язык: Английский
Circadian and sleep–wake homeostatic modulation of EEG activity during sleep and wakefulness
Deleted Journal,
Год журнала:
2024,
Номер
37(4), С. 259 - 265
Опубликована: Окт. 25, 2024
Abstract
The
human
sleep–wake
cycle
is
regulated
by
two
distinct
processes:
the
circadian
timing
system
(CTS)
and
homeostatic
(SWH)
process.
CTS
driven
a
small
region
in
anterior
hypothalamus
of
brain,
which
known
as
“circadian
clock.”
By
contrast,
SWH
can
be
conceptualized
an
hourglass,
whereby
sleep
pressure
builds
up
during
waking
hours
released
sleep.
In
contrast
to
CTS,
there
no
specific
brain
that
controls
this
hourglass
A
complex
modulation
these
processes
affects
electroencephalographic
(EEG)
activity
throughout
24‑h
day,
resulting
emergence
EEG
features.
These
features
classified
into
three
categories:
those
show
clear
patterns,
are
predominantly
influenced
process,
combination
both.
This
review
describes
quantified
spectral
analysis
wakefulness
derived
from
study
protocols,
enable
separation
influence
clock
Second,
potential
for
interictal
seizure
occurrence
will
discussed,
along
with
its
implications
diagnosis,
treatment,
prediction
prevention.
Язык: Английский
Seizure forecasting based on AI-supported analysis of multidien and circadian cycles in EEG and non-EEG long-term datasets
Deleted Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 4, 2024
Abstract
Long-term
datasets
in
epilepsy
encompassing
weeks
to
months
of
continuous
physiological
signal
recordings
along
with
novel
data
analysis
techniques
have
recently
advanced
the
understanding
several
aspects.
Patterns
seizures,
interictal
discharges,
and
autonomous
nervous
system
activity
were
observed
often
exhibit
long,
multidien
cycles
that
are
correlated
each
other.
These
observations
provided
basis
for
new
approaches
forecast
seizure
risk
from
electroencephalographic
(EEG)
non-EEG
data.
Язык: Английский