The Neurobiology of Comorbidities
Published: Jan. 1, 2025
Language: Английский
Semiological differences between children and adults with temporal lobe epilepsy: a video-EEG based multivariate analysis
Aoxue Mei,
No information about this author
Ke Xu,
No information about this author
M. Gong
No information about this author
et al.
Frontiers in Neurology,
Journal Year:
2025,
Volume and Issue:
16
Published: May 8, 2025
Objective
This
study
investigated
the
differences
in
semiological
characteristics
of
temporal
lobe
epilepsy
(TLE)
between
children
and
adult
populations,
specifically
examining
impact
age
on
these
manifestations.
Using
multivariate
analysis,
this
assessed
influence
TLE
clinical
manifestations,
including
seizure
complexity,
while
controlling
for
etiology
lesion
location.
Methods
retrospectively
analyzed
data
from
patients
who
underwent
anterior
lobectomy
(ATL)
achieved
seizure-free
at
Sanbo
Brain
Hospital.
Semiological
features
were
using
video-electroencephalogram
(video-EEG)
recordings.
Following
descriptive
analysis
symptom
cohorts,
univariate
logistic
regression
analyses
performed
to
evaluate
associations
variables
specific
components.
Results
A
total
176
(39
137
adults)
ATL
status
met
inclusion
criteria
study.
Significant
observed
adults
incidence
of:
auras
(
p
=
0.023
),
motor
seizures
0.002
clonic
focal
bilateral
tonic–clonic
0.028
lateralizing
signs
0.038
).
The
automotor
OR
1.05,
95%
CI
1.00–1.09,
0.039
)
1.06,
1.01–1.12,
showed
a
positive
correlation
with
increasing
age.
Significance
demonstrates
significant
age-dependent
manifestations
TLE,
suggesting
that
age-related
neurodevelopmental
changes
underlie
distinct
patterns.
These
findings
support
age-specific
treatment
strategies,
as
affects
patterns
management
decisions.
Language: Английский
EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life
Sensors,
Journal Year:
2024,
Volume and Issue:
24(15), P. 4979 - 4979
Published: Aug. 1, 2024
Brain
networks
are
hypothesized
to
undergo
significant
changes
over
development,
particularly
during
infancy.
Thus,
the
aim
of
this
study
is
evaluate
brain
maturation
in
first
year
life
terms
electrophysiological
(EEG)
functional
connectivity
(FC).
Whole-brain
FC
metrics
(i.e.,
magnitude-squared
coherence,
phase
lag
index,
and
parameters
derived
from
graph
theory)
were
extracted,
for
multiple
frequency
bands,
baseline
EEG
data
recorded
146
typically
developing
infants
at
6
(T6)
12
(T12)
months
age.
Generalized
linear
mixed
models
used
test
differences
computed
considering
time
point
sex
as
fixed
effects.
Correlational
analyses
performed
ascertain
potential
relationship
between
subjects'
cognitive
language
level,
assessed
with
Bayley-III
scale
24
(T24)
The
results
obtained
highlighted
an
increased
FC,
all
analyzed
T12
respect
T6.
yielded
evidence
cognition.
Despite
some
limitations,
our
represents
one
attempts
network
evolution
while
accounting
correspondence
improvement.
Language: Английский
Advanced Diffusion MRI in Developing Brain
Ye Wu,
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Lanxiang He,
No information about this author
Xinyuan Zhang
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et al.
IntechOpen eBooks,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 30, 2024
Brain
development
takes
a
long
time,
starting
in
the
third
trimester
of
pregnancy
and
continuing
into
first
decade
life.
Understanding
how
brain
develops
early
life
is
important
for
identifying
abnormal
that
may
later
be
related
to
neurological
psychiatric
disorders.
Diffusion
MRI
(dMRI)
powerful
imaging
technique
shows
water
molecules
move
biological
tissues,
providing
information
about
tissue
structure
organization.
Although
dMRI
has
shown
significant
advances
pediatric
research
over
last
30
years,
study
still
relatively
new
but
great
scientific
clinical
potential.
This
chapter
assesses
advanced
methods
can
used
measure
rapid
dynamic
changes
microstructural
foundations
during
Language: Английский