Network analysis: An overview for mental health research
International Journal of Methods in Psychiatric Research,
Journal Year:
2024,
Volume and Issue:
33(4)
Published: Nov. 14, 2024
Abstract
Network
approaches
to
psychopathology
have
become
increasingly
common
in
mental
health
research,
with
many
theoretical
and
methodological
developments
quickly
gaining
traction.
This
article
illustrates
contemporary
practices
applying
network
analytical
tools,
bridging
the
gap
between
concepts
their
empirical
applications.
We
explain
how
we
can
use
graphs
construct
networks
representing
complex
associations
among
observable
psychological
variables.
then
discuss
key
models,
including
dynamic
networks,
time‐varying
models
derived
from
panel
data,
intervention
analysis,
latent
moderated
models.
In
addition,
Bayesian
role
causal
inference
a
focus
on
cross‐sectional
data.
After
presenting
different
methods,
theories
meaningfully
inform
each
other.
conclude
discussion
that
summarizes
insights
technique
provide
research.
Language: Английский
A systematic review of studies using network analysis to assess dynamics of psychotic-like experiences in community samples
Psychological Medicine,
Journal Year:
2025,
Volume and Issue:
55
Published: Jan. 1, 2025
Several
studies
have
used
a
network
analysis
to
recognize
the
dynamics
and
determinants
of
psychotic-like
experiences
(PLEs)
in
community
samples.
Their
synthesis
has
not
been
provided
so
far.
A
systematic
review
using
assess
PLEs
samples
was
performed.
Altogether,
27
were
included.
The
overall
percentage
ranks
centrality
metrics
for
23.5%
strength
(20
studies),
26.0%
betweenness
(5
29.7%
closeness
(6
26.9%
expected
influence
(7
29.1%
bridge
(3
studies).
Included
covered
three
topics:
phenomenology
associated
symptom
domains
(14
exposure
stress
with
respect
suicide-related
outcomes
other
directly
connected
PLEs.
total
6
investigated
childhood
trauma
(CT)
history.
These
demonstrated
that
are
CT
history
(4
studies)
or
cumulative
measure
environmental
exposures
(1
study).
Moreover,
found
moderate
association
Two
revealed
direct
connections
also
potential
mediating
effects
cognitive
biases
general
psychopathology.
across
all
included
within
this
topic.
findings
imply
transdiagnostic
phenomena
do
represent
most
central
domain
psychopathology
occurrence
might
be
suicide
risk.
Language: Английский
Understanding Personalized Dynamics in Eating Disorders: A Dynamic Time Warp Analysis
International Journal of Eating Disorders,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 13, 2025
ABSTRACT
Objective
To
enhance
our
understanding
of
the
processes
change
and
interaction
symptoms,
we
applied
a
relatively
novel
method
known
as
Dynamic
Time
Warp
to
data
from
low‐threshold
internet‐based
interventions
directed
at
decreasing
eating
disorder
(ED)
symptoms
increasing
help‐seeking.
Method
Utilizing
Featback
study,
examined
how
various
factors
such
ED
psychopathology,
binge
eating,
vomiting,
laxative
use,
BMI,
anxiety,
depression,
self‐efficacy,
social
support,
well‐being,
health‐related
quality
life
interplayed
over
period
14
months
among
355
individuals
six
different
time
points.
Moreover,
explored
which
exerted
significant
temporal
relationship
on
others
(with
high
out‐strength)
were
most
affected
by
other
in‐strength).
Results
The
sample
included
participants
with
types
levels
severity.
On
group
level,
identified
four
dimensions
similar
within‐person
trajectories:
(1)
Depression,
life,
self‐rated
health;
(2)
vomiting;
(3)
self‐efficacy
support;
(4)
use.
Directed
analyses
revealed
that
support
anxiety
had
highest
out‐strength
(i.e.,
lead),
indicating
their
changes
preceded
those
factors,
while
use
well‐being
mostly
lagged
behind
items
Discussion
Depressive
symptom
severity
strongly
connected
Social
may
be
an
important
factor
address
first
it
drive
in
patients
EDs.
Language: Английский
Dynamic time warp versus vector autoregression models for network analyses of psychological processes
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 5, 2025
Psychopathological
disorders
are
increasingly
conceptualized
as
complex
dynamic
systems,
which
can
be
represented
networks
of
interconnected
symptoms.
These
often
constructed
using
Multilevel
Vector
AutoRegression
(mlVAR)
models.
However,
psychological
processes
frequently
violate
these
assumptions.
An
alternative
approach
for
examining
temporal
relationships
between
variables
is
Dynamic
Time
Warping
(DTW).
This
paper
evaluates
the
potential
applications,
advantages,
and
disadvantages
DTW
mlVAR.
As
part
Netherlands
Study
Depression
Anxiety,
an
Ecological
Momentary
Assessment
module
was
administered
five
times
daily
2
weeks,
to
376
participants
(Mean
age
49.3
years,
64.4%
women).
We
created
item
based
on
20
mood
physical
condition
items
from
this
mlVAR
techniques,
repeated
analyses
simulated
data
explore
violations
assumptions,
including
various
lagged
presence
collider
variables.
Analysis
datasets
revealed
that
were
more
susceptible
spurious
connections,
while
produces
reliable
under
conditions.
While
better
reveals
causal
when
assumptions
met,
provides
a
robust
method
co-occurrence,
synchrony,
directionality
connections
in
real-world
data.
Language: Английский
Early change in specific depression symptoms and later outcome in internet-delivered psychotherapy for depression: A cohort study and cross-lagged network analysis
Fred Johansson,
No information about this author
Oskar Flygare,
No information about this author
Julia Bäckman
No information about this author
et al.
Journal of Affective Disorders,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 1, 2024
Language: Английский