Scandinavian Journal of Psychology,
Год журнала:
2023,
Номер
65(3), С. 433 - 442
Опубликована: Дек. 20, 2023
Abnormalities
in
emotion
recognition
(ER)
are
frequently
reported
depression,
with
lower
accuracy
patients
major
depressive
disorder
(MDD)
when
compared
to
healthy
individuals.
Mindfulness
was
found
directly
impact
the
severity
of
symptoms,
by
recognizing
negative
cognitions
and
dysfunctional
reactions.
The
aims
this
study
were
compare
ER
mindfulness
levels
between
MDD
controls
(HCs),
as
well
examine
whether
related
symptom
patients.
Sixty‐eight
93
HCs
participated
study.
A
sociodemographic
form,
reading
mind
eyes
test
(RMET),
five
facet
questionnaire‐short
form
(FFMQ‐S)
Montgomery–Asberg
depression
scale
(MADRS)
administered.
Group
comparison
performed
using
multivariate
analysis
covariance
(MANCOVA).
Bivariate
correlations
hierarchical
linear
regression
analyses
assess
associations
severity,
patient
group.
Higher
level
relative
group,
however,
no
difference
present
groups.
positive
association
non‐reactivity
found.
On
other
hand,
not
significantly
associated
among
individuals
MDD.
Non‐reactivity,
unlike
dimensions
mindfulness,
seems
increase
symptoms
particular
focus
on
subdimension
techniques
may
yield
better
outcomes
alleviation
symptoms.
Proceedings of the National Academy of Sciences,
Год журнала:
2023,
Номер
120(2)
Опубликована: Янв. 3, 2023
Mindful
attention
is
characterized
by
acknowledging
the
present
experience
as
a
transient
mental
event.
Early
stages
of
mindfulness
practice
may
require
greater
neural
effort
for
later
efficiency.
self-regulate
behavior
and
focalize
present,
but
this
understanding
lacks
computational
explanation.
Here
we
used
network
control
theory
model
how
external
inputs—operationalizing
effort—distribute
changes
in
activity
evoked
during
mindful
across
white
matter
network.
We
hypothesized
that
individuals
with
controllability,
thereby
efficiently
distributing
inputs,
effectively
behavior.
further
brain
regions
utilize
input
exhibit
shorter
intrinsic
timescales
activity.
Shorter
characterize
quickly
discontinuing
past
processing
to
present.
tested
these
hypotheses
randomized
controlled
study
primed
participants
either
mindfully
respond
or
naturally
react
alcohol
cues
fMRI
administered
text
reminders
measurements
consumption
4
wk
postscan.
found
controllability
moderated
consumption.
regulation
cues,
compared
one’s
own
natural
reactions,
reduced
craving,
craving
did
not
differ
from
baseline
group.
reactions
group,
involved
more-effortful
dynamics
cognitive
subnetworks.
This
persisted
group
More-effortful
states
had
than
less
effortful
states,
offering
an
explanation
promotes
being
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 13, 2025
Background
Aberrant
cognition
is
one
of
the
crucial
symptoms
depression.
However,
whether
negative
rumination
participates
in
depression
with
melancholic
features
or
anxious
distress
remains
unclear.
Methods
In
this
study,
we
addressed
issue
by
compiling
a
questionnaire
that
can
comprehensively
measure
cognitive
processing
bias
We
also
conducted
an
exhaustive
analysis
its
influencing
factors,
including
subtype
depression,
age,
gender,
age
onset,
family
history
mental
disorder,
and
education
year.
Results
found
increased
attention
bias,
memory
interpretation
bias.
Importantly,
among
several
dimensions
was
more
serious
than
subgroup.
Furthermore,
Spearman
rank
correlation
showed
correlates
onset
Limitations
mainly
explored
anxiety
subgroups
did
not
include
other
subtypes.
Due
to
time
constraints,
conduct
long-term
follow-ups
explore
neural
mechanisms
differences
between
depressive
rumination.
Conclusion
Our
results
contribute
existing
literature
on
psychological
underlying
aberrant
These
findings
could
provide
guidance
for
clinical
practice
individualized
precision
treatment
biases
major
disorder.
Therefore,
rumination-focused
therapies
would
be
tailored
differently
versus
subgroups.
The
psychological
structural
model
of
major
depressive
disorder
(MDD)
is
complex
and
multifaceted,
consisting
the
environment
factors
(EF),
cognitive
function
(CF),
behavioral-emotional
manifestations
(BEM).
Currently,
diagnosis
treatment
MDD
difficult
to
improve
disease
state
as
a
whole
through
an
intervention
point.
Constructing
finding
critical
node
are
meaningful
for
MDD.
308
patients
(MDDs)
participated
in
this
research.
They
completed
assessments
34
factors,
including
EF,
CF,
BEM
interoception
(IF).
Pearson
correlation
was
used
investigate
relationship
between
IF
each
factor
multidimensional
(EF,
CF
BEM)
which
constructed
by
equation
modeling
(SEM).
Critical
nodes
were
identified
goodness
fit
model.
created
SEM.
added
further
verify
pathways
effects
network.
significantly
correlated
with
all
factors.
In
model,
EF
(βdirect
=
0.163,
p
0.033)
0.230,
0.003)
can
directly
influence
When
adding
predicted
poorer
led
lower
-
0.346,
<
0.001).
Interoception
dysfunction
increased
risk
-0.525,
0.002)
0.250,
0.031)
patients.
had
largest
total
effect
on
0.365,
βindirect
0.150,
βtotal
0.515),
0.309,
0.126,
0.434)
second
only
EF.
part
that
predicts
BEM.
It
could
be
potential
point
whole.
Meditation
is
a
family
of
ancient
and
contemporary
contemplative
mind-body
practices
that
can
modulate
psychological
processes,
awareness,
mental
states.
Over
the
last
40
years,
clinical
science
has
manualised
meditation
designed
various
interventions
(MIs),
have
shown
therapeutic
efficacy
for
disorders
including
depression,
pain,
addiction,
anxiety.
past
decade,
neuroimaging
examined
neuroscientific
basis
practices,
effects,
states,
outcomes
non-clinical
populations.
However,
generalizability
replicability
current
models
are
yet
to
be
established,
as
they
largely
based
on
small
datasets
entrenched
with
heterogeneity
along
several
domains
(e.g.,
practice
types,
experience,
disorder
targeted),
experimental
design,
methods
preprocessing,
analysis,
task-based,
resting-state,
structural
MRI).
These
limitations
precluded
nuanced
rigorous
phenotyping
their
potential
benefits.
Here,
we
present
ENIGMA-Meditation,
first
worldwide
collaborative
consortium
investigations
practices.
ENIGMA-Meditation
will
enable
systematic
meta-
mega-analyses
globally
distributed
using
shared,
standardized
tools
improve
statistical
power
generalizability.
Through
this
powerful
framework,
existing
accounts
extended
generate
novel
insights,
accounting
multi-domain
heterogeneity.
inform
mechanisms
underlying
action
cognitive
attributes,
advancing
field
neuroscience.