Examining anterior prefrontal cortex resting-state functional connectivity patterns associated with depressive symptoms in chronic moderate-to-severe traumatic brain injury
Frontiers in Neurology,
Год журнала:
2025,
Номер
16
Опубликована: Март 28, 2025
In
chronic
moderate-to-severe
TBI
(msTBI),
depression
is
one
of
the
most
common
psychiatric
consequences.
Yet
to
date,
there
limited
understanding
its
neural
underpinnings.
This
study
aimed
better
understand
this
gap
by
examining
seed-to-voxel
connectivity
in
depression,
with
all
voxel-wise
associations
seeded
bilateral
anterior
prefrontal
cortices
(aPFC).
a
secondary
analysis
32
patients
msTBI
and
17
age-matched
controls
acquired
from
Toronto
Rehab
Recovery
Study
database,
Personality
Assessment
Inventory
Depression
scale
scores
were
used
group
into
an
msTBI-Dep
(T
≥
60;
n
=
13)
msTBI-Non-Dep
<
19).
Resting-state
fMRI
scans
analyzed
using
seed-based
analyses.
F-tests,
controlling
for
age
education,
assess
differences
aPFC
rsFC
across
3
groups.
After
nonparametric
permutation
testing,
left
demonstrated
significantly
increased
(p
0.041)
right
0.013)
fusiform
gyri,
superior
temporal
lobe
0.032),
precentral
gyrus
0.042)
compared
controls.
The
had
no
significant
either
group.
To
our
knowledge,
first
examine
sample
exclusively.
Our
preliminary
findings
suggest
role
pathophysiology
depressive
symptoms
msTBI.
Increased
aPFC-sensory/motor
could
be
associated
vulnerability
post-TBI,
hypothesis
that
warrants
further
investigation.
Язык: Английский
A novel graph neural network framework for resting-state functional MRI spatiotemporal dynamics analysis
Physica A Statistical Mechanics and its Applications,
Год журнала:
2025,
Номер
unknown, С. 130582 - 130582
Опубликована: Апрель 1, 2025
Язык: Английский
Social 'envirotyping' the ABCD study contextualizes dissociable brain organization and diverging outcomes
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 22, 2024
The
environment,
especially
social
features,
plays
a
key
role
in
shaping
the
development
of
brain,
notably
during
adolescence.
To
better
understand
variation
brain-environment
coupling
and
its
associated
outcomes,
we
identified
''envirotypes,''
or
different
patterns
environment
experience,
Adolescent
Brain
Cognitive
Development
Study
by
hierarchically
clustering
subjects.
Two
focal
clusters,
which
accounted
for
89.3%
all
participants,
differed
significantly
on
eight
out
nine
youth-report
quality
measures,
representing
almost
perfect
complements.
We
then
applied
tools
from
network
neuroscience
to
show
envirotypes
are
with
whole
brain
functional
connectivity.
Differences
were
distributed
across
but
prominent
Default
Somatomotor
Hand
systems
these
clusters.
Finally,
examined
how
change
over
suite
outcomes.
resulting
dynamic
along
dimensions
stability
quality,
outcomes
diverged
based
stability.
Specifically,
stable,
high
envirotype
was
most
easily
distinguished
improving
envirotype,
while
unstable
worst
Altogether,
our
findings
represent
significant
contributions
both
developmental
neuroscience,
emphasizing
variability
dynamicity
consequences.
Язык: Английский
Neuroimaging signatures and a deep learning modeling for early diagnosing and predicting non-pharmacological therapy success for subclinical depression comorbid sleep disorders in college students
International Journal of Clinical and Health Psychology,
Год журнала:
2024,
Номер
24(4), С. 100526 - 100526
Опубликована: Окт. 1, 2024
Язык: Английский