Psychological Medicine,
Год журнала:
2025,
Номер
55
Опубликована: Янв. 1, 2025
Abstract
Background
Recent
neuroimaging
studies
have
demonstrated
that
the
heterogeneous
antidepressant
responsiveness
in
patients
with
major
depressive
disorder
(MDD)
is
associated
diverse
resting-state
functional
brain
network
(rsFBN)
topology;
however,
only
limited
explored
rsFBN
using
electroencephalography
(EEG).
In
this
study,
we
aimed
to
identify
EEG-derived
rsFBN-based
biomarkers
predict
pharmacotherapeutic
responsiveness.
Methods
The
EEG
signals
were
acquired
for
demography-matched
three
groups:
98
treatment-refractory
MDD
(trMDD),
269
those
good-responding
(grMDD),
and
131
healthy
controls
(HCs).
source-level
was
constructed
31
sources
as
nodes
beta-band
power
envelope
correlation
(PEC)
edges.
degree
centrality
(DC)
clustering
coefficients
(CCs)
calculated
various
sparsity
levels.
Network-based
statistic
one-way
analysis
of
variance
models
employed
comparing
PECs
indices,
respectively.
multiple
comparisons
controlled
by
false
discovery
rate.
Results
Patients
trMDD
characterized
altered
dorsal
attention
salience
network.
Specifically,
they
exhibited
hypoconnection
between
eye
fields
right
parietal
regions
(
p
=
0.0088),
decreased
DC
supramarginal
gyrus
q
0.0057),
CC
reward
circuit
s
<
0.05).
On
other
hand,
both
groups
shared
increased
but
posterior
cingulate
cortex.
Conclusions
We
confirmed
topology
more
severely
deteriorated
trMDD,
particularly
attention-regulatory
networks.
Our
findings
suggested
topologies
could
serve
potential
pathologically
interpretable
predicting
Journal of Affective Disorders,
Год журнала:
2023,
Номер
339, С. 486 - 494
Опубликована: Июль 16, 2023
Previous
studies
have
revealed
the
frontoparietal
network
(FPN)
plays
a
key
role
in
imaging
pathophysiology
of
bipolar
disorder
(BD).
However,
homogeneity
(NH)
FPN
among
mania
(BipM),
remitted
(rBD),
and
healthy
controls
(HCs)
remains
unknown.
The
present
study
aimed
to
explore
whether
NH
within
can
be
used
as
an
biomarker
differentiate
BipM
from
rBD
predict
treatment
efficacy
for
patients
with
BipM.Sixty-six
BD
(38
28
rBD)
60
HCs
participated
resting-state
functional
magnetic
resonance
neuropsychological
tests.
Independent
component
analysis
were
applied
analyze
data.Relative
HCs,
displayed
increased
left
middle
frontal
gyrus
(MFG),
right
inferior
parietal
lobule
(IPL).
Compared
patients,
reduced
IPL.
Furthermore,
support
vector
machine
results
exhibited
that
values
IPL
could
distinguish
69.70
%,
57.89
91.67
%
accuracy,
sensitivity,
specificity,
respectively,
regression
significant
association
between
predicted
actual
symptomatic
improvement
based
on
reduction
ratio
Young`
Mania
Rating
Scale
total
scores
(r
=
0.466,
p
<
0.01).The
demonstrated
distinct
serve
valuable
neuroimaging
capable
differentiating
rBD,
MFG
potential
predictor
early
response
BipM.
World Journal of Psychiatry,
Год журнала:
2024,
Номер
14(11), С. 1696 - 1707
Опубликована: Ноя. 7, 2024
BACKGROUND
Research
has
found
that
the
amygdala
plays
a
significant
role
in
underlying
pathology
of
major
depressive
disorder
(MDD).
However,
few
studies
have
explored
machine
learning-assisted
diagnostic
biomarkers
based
on
functional
connectivity
(FC).
AIM
To
investigate
analysis
neuroimaging
as
streamlined
approach
for
diagnosis
MDD
adolescents.
METHODS
Forty-four
adolescents
diagnosed
with
and
43
healthy
controls
were
enrolled
study.
Using
resting-state
magnetic
resonance
imaging,
FC
was
compared
between
controls,
bilateral
serving
seed
point,
followed
by
statistical
results.
The
support
vector
(SVM)
method
then
applied
to
classify
connections
various
brain
regions
evaluate
neurophysiological
characteristics
associated
MDD.
RESULTS
Compared
using
region
interest,
patients
showed
significantly
lower
values
left
inferior
temporal
gyrus,
calcarine,
right
lingual
superior
occipital
gyrus.
there
an
increase
value
Vermis-10.
SVM
revealed
reduction
gyrus
could
effectively
differentiate
from
achieving
accuracy
83.91%,
sensitivity
79.55%,
specificity
88.37%,
area
under
curve
67.65%.
CONCLUSION
results
abnormal
effective
biomarker
distinguish
controls.
World Journal of Psychiatry,
Год журнала:
2025,
Номер
15(2)
Опубликована: Янв. 14, 2025
BACKGROUND
Currently,
adolescent
depression
is
one
of
the
most
significant
public
health
concerns,
markedly
influencing
emotional,
cognitive,
and
social
maturation.
Despite
advancements
in
distinguish
neurobiological
substrates
underlying
depression,
intricate
patterns
disrupted
brain
network
connectivity
adolescents
warrant
further
exploration.
AIM
To
elucidate
neural
correlates
by
examining
using
resting-state
functional
magnetic
resonance
imaging
(rs-fMRI).
METHODS
The
study
cohort
comprised
74
depressed
59
healthy
controls
aged
12
to
17
years.
Participants
underwent
rs-fMRI
evaluate
within
across
critical
networks,
including
visual,
default
mode
(DMN),
dorsal
attention,
salience,
somatomotor,
frontoparietal
control
networks.
RESULTS
Analyses
revealed
pronounced
disparities
key
circuits
among
with
depression.
results
demonstrated
existence
hemispheric
asymmetries
characterized
enhanced
activity
left
visual
network,
which
contrasted
diminished
right
hemisphere.
DMN
facilitated
increased
prefrontal
cortex
reduced
engagement
hemisphere,
implicating
self-referential
emotional
processing
mechanisms.
Additionally,
an
overactive
attention
a
hypoactive
salience
were
identified,
underscoring
abnormalities
attentional
regulation
CONCLUSION
findings
from
this
underscore
distinct
disruptions
role
specific
markers
for
precise
early
diagnosis
observed
network-specific
deviations
complex
architecture
supporting
development
targeted
therapeutic
strategies.
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 20, 2025
Introduction
The
aim
of
the
present
research
was
to
examine
role
affective
information
in
functioning
attentional
networks
individuals
with
high
vs.
low
trait
or
state
anxiety.
Previous
studies
suggest
that
anxiety
can
influence
processes,
but
impact
information,
such
as
alerting
emotional
stimuli,
on
these
remains
unclear.
Methods
We
conducted
a
set
experiments
using
negative
neutral
faces
presented
either
alone
together
sound,
within
modified
version
Attention
Network
Test-Interactions
(ANT-I).
Additionally,
data
from
previous
similar
groups
and
without
manipulations
alertness
were
analyzed
for
comparative
insights
(378
participants
total).
Results
showed
three
main
effects
when
signals
introduced:
(1)
effect
is
increased,
(2)
interference
(3)
orienting
decreased.
These
occurred
regardless
valence
stimuli
given
trial.
Importantly,
presence
some
trials
eliminated
group
differences
regarding
are
usually
found
no
presented.
Specifically,
larger
commonly
observed
trait-anxiety
seen
those
state-anxiety,
disappeared
included.
Discussion
findings
significantly
networks,
particularly
relation
seems
modulate
biases
associated
anxiety,
potentially
neutralizing
usual
discussed
framework
attention.
