Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 9, 2025
Epidemiological
evidence
from
the
past
20
years
indicates
that
environmental
chemicals
brought
into
air
by
vaporization
of
volatile
organic
compounds
and
other
anthropogenic
pollutants
might
be
involved,
at
least
in
part,
development
or
progression
psychiatric
disorders.
This
comes
primarily
occupational
work
studies
humans,
with
indoor
occupations
being
most
important
sources
airborne
affecting
neural
circuits
implicated
mood
disorders
(e.g.,
major
depressive
disorder
bipolar
disorder).
The
current
mini
review
brings
together
recent
findings
pollution
different
fields
research,
including
genetics,
neuropathology,
neuroimaging,
for
gauging
underlying
physiological
mechanisms
leading
to
emotional
disturbances
impact
nearly
all
aspects
human
behavior.
A
better
understanding
how
affect
brain
neurons
augment
clinical
symptoms
associated
will
undoubtedly
useful
subsequent
treatment
patients
and/or
article
is
part
themed
issue,
"Understanding
Link
Between
Environmental
Pollutants,
Brain
&
Behavior."
Cerebral Cortex,
Journal Year:
2024,
Volume and Issue:
34(6)
Published: May 29, 2024
Major
depressive
disorder
demonstrated
sex
differences
in
prevalence
and
symptoms,
which
were
more
pronounced
during
adolescence.
Yet,
research
on
sex-specific
brain
network
characteristics
adolescent-onset
major
remains
limited.
This
study
investigated
nonspecific
alterations
resting-state
functional
connectivity
of
three
core
networks
(frontoparietal
network,
salience
default
mode
network)
subcortical
disorder,
using
seed-based
50
medication-free
patients
with
56
healthy
controls.
Irrespective
sex,
compared
controls,
showed
hypoconnectivity
between
bilateral
hippocampus
right
superior
temporal
gyrus
(default
network).
More
importantly,
we
further
found
that
females
exhibited
within
the
(medial
prefrontal
cortex),
regions
(i.e.
amygdala,
striatum,
thalamus)
(angular
posterior
cingulate
cortex)
frontoparietal
(dorsal
while
opposite
patterns
observed
males
relative
to
their
sex-matched
Moreover,
several
changes
correlated
age
onset,
sleep
disturbance,
anxiety
different
sex.
These
findings
suggested
these
may
reflect
development
or
processes
related
early
illness
underscoring
necessity
for
sex-tailored
diagnostic
therapeutic
approaches
disorder.
World Journal of Psychiatry,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1696 - 1707
Published: Nov. 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.
NeuroImage Clinical,
Journal Year:
2024,
Volume and Issue:
43, P. 103632 - 103632
Published: Jan. 1, 2024
Childhood
maltreatment
(CM)
is
a
major
risk
factor
for
the
development
of
depressive
disorder
(MDD).
To
gain
more
knowledge
on
how
adverse
childhood
experiences
influence
brain
architecture,
we
studied
functional
connectivity
(FC)
alterations
neural
networks
depressed
patients
with,
or
without
history
CM.
Depressed
with
severe
(n
=
18),
MDD
19),
and
matched
healthy
controls
20)
were
examined
resting
state
MRI.
History
was
assessed
28-item
Trauma
Questionnaire.
Intra-
inter-network
FC
evaluated
using
FMRIB
Software
Library
CONN
toolbox.
We
found
numerous
intra-
between
maltreated
non-maltreated
patients.
Intra-network
differences
in
default
mode,
visual
auditory
networks,
cerebellum.
Network
modelling
revealed
several
connecting
mode
network
executive
control,
salience
cerebellar
networks.
Increased
sensory-motor
visual,
cerebellar,
Relatively
small
sample
size,
cross-sectional
design,
retrospective
self-report
questionnaire
to
assess
experiences.
Our
findings
confirm
that
severely
display
strengths,
not
only
their
fronto-limbic
circuits,
but
also
sensory-motor,
auditory,
These
may
explain
individuals
typically
altered
perception
are
prone
develop
neurological
symptom
(conversion
disorder)
adulthood.
Journal of Affective Disorders,
Journal Year:
2024,
Volume and Issue:
362, P. 104 - 113
Published: June 22, 2024
Previous
task-related
functional
magnetic
resonance
imaging
(task-fMRI)
investigations
have
documented
abnormal
brain
activation
associated
with
subclinical
depression
(SD),
defined
as
a
clinically
relevant
level
of
depressive
symptoms
that
does
not
meet
the
diagnostic
criteria
for
major
disorder.
However,
these
task-fMRI
studies
reported
consistent
conclusions.
Performing
voxel-based
meta-analysis
may
yield
reliable
findings.
NeuroImage,
Journal Year:
2024,
Volume and Issue:
297, P. 120722 - 120722
Published: July 4, 2024
Previous
studies
have
shown
that
major
depressive
disorder
(MDD)
patients
exhibit
structural
and
functional
impairments,
but
few
investigated
changes
in
higher-order
coupling
between
structure
function.
Here,
we
systematically
the
effect
of
MDD
on
connectivity
(SC)
(FC).
Each
brain
region
was
mapped
into
embedding
vector
by
node2vec
algorithm.
We
used
support
machine
(SVM)
with
to
distinguish
from
health
controls
(HCs)
identify
most
discriminative
regions.
Our
study
revealed
had
decreased
connections
regions
local
rich-club
organization
increased
ventral
attentional
network
limbic
compared
HCs.
Interestingly,
transcriptome-neuroimaging
association
analysis
demonstrated
correlations
regional
rSC-FC
variations
HCs
α/β-hydrolase
domain-containing
6
(ABHD6),
β
1,3-N-acetylglucosaminyltransferase-9(β3GNT9),
transmembrane
protein
45B
(TMEM45B),
correlation
dSC-FC
retinoic
acid
early
transcript
1E
antisense
RNA
1(RAET1E-AS1),
iSC-FC
ABHD6,
β3GNT9,
katanin-like
2
(KATNAL2).
In
addition,
neurotransmitter
receptor/transporter
maps
found
were
both
correlated
neuroendocrine
transporter
(NET)
expression,
metabotropic
glutamate
receptor
5
(mGluR5).
Further
mediation
explored
relationship
genes,
related
variations.
These
findings
indicate
specific
genetic
molecular
factors
underpin
observed
disparities
SC-FC
confirmed
SC
FC
plays
an
important
role
diagnosing
MDD.
The
identification
new
biological
evidence
for
etiology
holds
promise
development
innovative
antidepressant
therapies.
