Psychophysiology,
Journal Year:
2022,
Volume and Issue:
59(10)
Published: April 23, 2022
Abstract
Multiple
neuroimaging
studies
have
examined
the
neural
underpinnings
of
body
image
disturbances
in
patients
with
eating
disorders.
However,
key
brain
regions
related
to
image,
such
as
body‐esteem
(BE),
among
healthy
individuals
are
understudied.
Given
extremely
crucial
role
BE
behaviors
and
physical
mental
health,
current
study
conducted
data‐driven
analysis
characterized
neurobiological
correlates
network
properties
resting
using
voxel‐wise
degree
centrality
(DC)
measures
resting‐state
functional
magnetic
resonance
imaging
(rs‐fMRI)
data
seed‐based
connectivity
(RSFC).
A
total
694
young
adults
(females
=
474,
mean
age
18.38
years,
range
17–22)
underwent
rs‐fMRI,
completed
Body‐Esteem
Scale
for
Adolescents
Adults,
Eating
Disorder
Diagnosis
Scale,
Restraint
Scale.
After
correcting
differences
age,
gender,
mass
index,
head
motion,
whole‐brain
correlation
analyses
revealed
that
a
high
level
was
associated
increased
DC
within
right
midcingulate
cortex
(MCC)
subsequent
levels
MCC‐based
RSFC
strengths.
Furthermore,
MCC
patterns
were
inversely
disordered
behaviors.
These
findings
suggest
adaptive
cognitive
emotional
regulation
(i.e.,
self‐evaluation
emotion
based
on
image)
may
explain
potential
relationship
between
certain
extent.
As
such,
future
should
investigate
these
interesting
possibilities.
Journal of Neuroscience Research,
Journal Year:
2022,
Volume and Issue:
100(12), P. 2187 - 2200
Published: Sept. 7, 2022
Abstract
There
is
solid
evidence
for
the
prominent
involvement
of
central
autonomic
and
default
mode
systems
in
shaping
personality.
However,
whether
functional
connectivity
these
can
represent
neural
correlates
predictors
individual
variation
personality
traits
largely
unknown.
Resting‐state
magnetic
resonance
imaging
data
215
healthy
young
adults
were
used
to
construct
sympathetic
(SN),
parasympathetic
(PN),
(DMN)
networks,
with
intra‐
internetwork
measured.
Personality
factors
assessed
using
five‐factor
model.
We
examined
associations
between
network
connectivity,
followed
by
performance
prediction
based
on
connectome‐based
predictive
modeling
(CPM),
a
recently
developed
machine
learning
approach.
All
(neuroticism,
extraversion,
conscientiousness,
agreeableness)
other
than
openness
significantly
correlated
SN,
PN,
DMN.
Moreover,
CPM
models
successfully
predicted
conscientiousness
agreeableness
at
level
connectivity.
Our
findings
may
expand
existing
knowledge
regarding
substrates
underlying
British Journal of Psychology,
Journal Year:
2023,
Volume and Issue:
115(1), P. 1 - 19
Published: June 23, 2023
Abstract
Displaced
aggression
refers
to
pernicious
acts
against
innocent
people.
To
date,
little
is
known
about
mechanisms
underlying
dynamic
changes
in
displaced
aggression.
The
present
study
constructed
a
cross‐lagged
model
examine
the
effects
of
relative
deprivation
on
and
mediation
these
effects.
A
total
1130
undergraduate
students
participated
this
three‐wave
longitudinal
study.
results
showed
that
predicted
through
concurrent
levels
hostile
attribution
bias
moral
disengagement.
Hostile
disengagement
could
predict
each
other
longitudinally.
relationships
between
aggression,
were
mutual.
This
multiple
with
two
mutually
predicting
mediators
was
explained
from
aggressive
motivation
perspective.
findings
help
inform
theories
have
implications
for
prevention
interventions
Brain Sciences,
Journal Year:
2023,
Volume and Issue:
14(1), P. 43 - 43
Published: Dec. 31, 2023
Positive
outcome
expectancy
is
a
crucial
cognitive
factor
influencing
aggression,
yet
its
neural
basis
remains
unclear.
Therefore,
the
present
study
combined
voxel-based
morphometry
(VBM)
with
resting-state
functional
connectivity
(RSFC)
analysis
to
investigate
brain
correlates
of
positive
in
aggression
young
people.
In
VBM
analysis,
multiple
linear
regression
was
conducted
explore
relationship
between
individual
differences
aggressive
and
regional
gray
matter
volume
(GMV)
among
325
undergraduate
students.
For
RSFC
seed
regions
were
selected
based
on
results
analysis.
Subsequently,
employed
examine
whether
significant
correlation
existed
other
304
The
findings
indicated
that
positively
correlated
GMV
posterior
cingulate
cortex
(PCC),
right
temporoparietal
junction
(TPJ),
medial
prefrontal
(MPFC).
Moreover,
it
also
associated
PCC
left
dorsolateral
(DLPFC).
prediction
robust
relationships
PCC,
TPJ,
as
well
DLPFC.
Our
research
provides
initial
evidence
for
suggesting
potential
role
hub
network.
Psychophysiology,
Journal Year:
2021,
Volume and Issue:
58(10)
Published: June 27, 2021
Abstract
Trait
hope
focuses
on
individual
goal‐related
thoughts
and
is
assumed
to
be
a
critical
indicator
for
one's
mental
health.
However,
the
neurobiological
basis
of
neurological
mechanisms
underlying
relationship
between
positive
coping
style
(PCS)
(including
two
dimensions
pathway
thinking
agency
thinking)
are
still
largely
unknown.
Thus,
this
study
explored
neural
trait
by
correlating
regional
amplitude
low‐frequency
fluctuations
(ALFF)
resting‐state
functional
connectivity
(RSFC)
with
self‐reported
576
healthy
first‐year
college
students
underwent
RS‐fMRI.
Our
results
showed
that
was
positively
associated
PCS.
A
whole‐brain
correlation
analysis
provided
early
evidence
higher
levels
were
decreased
ALFF
in
left
frontal
pole
cortex
(FPC).
Additionally,
FPC,
increased
right
postcentral
gyrus
(PCG),
RSFC
FPC
posterior
cingulate
cortex,
middle
temporal
gyrus,
PCG
cerebellum.
Furthermore,
mediation
analyses
demonstrated
PCG–cerebellum
might
link
through
PCS
relate
connectivity.
findings
contribute
mechanism
style.
IEEE Transactions on Cognitive and Developmental Systems,
Journal Year:
2023,
Volume and Issue:
16(1), P. 243 - 250
Published: April 3, 2023
Despite
the
varied
decision
responses
are
revealed
between
adolescents
with
emotional
stability
and
instability
(ES
EI),
possible
association
underlying
making
resting-state
activity
remains
unknown.
The
study
explored
potential
relationship
electroencephalogram
network
when
different
stabilities
participated
in
ultimatum
game
(UG).
A
significant
activation
of
two
frequency
bands
(i.e.,
delta
alpha)
UG
acceptance
rate.
Furthermore,
ES
mainly
activated
frontal
cortex
band
compared
to
EI
adolescents,
whereas
exhibited
stronger
frontal-occipital
linkages
alpha
than
group.
During
making,
oscillation
played
a
positive
role
cognitive
process,
while
decreased.
Finally,
could
be
predicted
by
multivariable
linear
prediction
model
based
on
metrics
made
decisions
task.
distinct
electrophysiological
evidence
may
deepen
our
knowledge
individuals
traits,
which
further
facilitate
individual
behaviors.