Social Cognitive and Affective Neuroscience,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: Jan. 1, 2024
Abstract
Internet
addiction
symptomatology
(IAS)
is
characterized
by
persistent
and
involuntary
patterns
of
compulsive
use,
leading
to
significant
impairments
in
both
physical
mental
well-being.
Here,
a
connectome-based
predictive
modeling
approach
was
applied
decode
IAS
from
whole-brain
resting-state
functional
connectivity
healthy
population.
The
findings
showed
that
could
be
predicted
the
between
prefrontal
cortex
with
cerebellum
limbic
lobe
connections
occipital
insula
lobe.
identified
edges
associated
exhibit
generalizability
predicting
within
an
independent
sample.
Furthermore,
we
found
unique
contributing
network,
which
contrast
prediction
networks
alcohol
use
disorder
(the
range
symptoms
behaviors
disorder),
prominently
comprised
involving
other
lobes.
current
data-driven
provides
first
evidence
brain
features
based
on
organization
intrinsic
networks,
thus
advancing
our
understanding
neurobiological
basis
(IAD)
susceptibility,
may
have
implications
for
timely
intervention
people
potentially
at
risk
IAD.
Psychotherapy and Psychosomatics,
Journal Year:
2019,
Volume and Issue:
88(2), P. 71 - 83
Published: Jan. 1, 2019
<b><i>Background:</i></b>
Network
analysis
(NA)
is
an
analytical
tool
that
allows
one
to
explore
the
map
of
connections
and
eventual
dynamic
influences
among
symptoms
other
elements
mental
disorders.
In
recent
years,
use
NA
in
psychopathology
has
rapidly
grown,
which
calls
for
a
systematic
critical
its
clinical
utility.
<b><i>Methods:</i></b>
Following
PRISMA
guidelines,
review
published
empirical
studies
applying
psychopathology,
between
2010
2017,
was
conducted.
We
included
literature
PubMed
PsycINFO
using
as
keywords
any
combination
“network
analysis”
with
terms
“anxiety,”
“affective
disorders,”
“depression,”
“schizophrenia,”
“psychosis,”
“personality
“substance
abuse”
“psychopathology.”
<b><i>Results:</i></b>
The
showed
been
applied
plethora
disorders
adults
(i.e.,
13
on
anxiety
disorders;
19
mood
7
psychosis;
1
substance
abuse;
borderline
personality
disorder;
18
association
disorders),
6
childhood
adolescence.
<b><i>Conclusions:</i></b>
A
examination
results
each
study
suggests
helps
identify,
innovative
way,
important
aspects
like
centrality
given
disorder
well
mutual
dynamics
symptoms.
Yet,
despite
these
promising
results,
utility
still
uncertain
there
are
limitations
analytic
procedures
(e.g.,
reliability
indices),
type
data
typically
restricted
secondary
already
data),
ultimately,
psychometric
validity
results.
Frontiers in Psychiatry,
Journal Year:
2019,
Volume and Issue:
10
Published: Nov. 8, 2019
Adverse
childhood
experiences
(ACEs)
may
be
referred
to
by
other
terms
(e.g.,
early
life
adversity
or
stress
and
trauma)
have
a
lifelong
impact
on
mental
physical
health.
For
example,
ACEs
been
associated
with
post-traumatic
disorder
(PTSD),
anxiety,
depression,
bipolar
disorder,
diabetes
cardiovascular
disease.
The
heritability
of
ACE-related
phenotypes
such
as
PTSD,
depression
resilience
is
low
moderate,
and,
moreover,
very
variable
for
given
phenotype,
which
implies
that
gene
environment
interactions
(such
through
epigenetic
modifications)
might
involved
in
the
onset
these
phenotypes.
Currently,
there
increasing
interest
investigation
contributions
ACE-induced
differential
health
outcomes.
Although
are
number
studies
this
field,
still
research
gaps.
In
review,
basic
concept
modifications
methylation)
function
hypothalamo–pituitary–adrenal
(HPA)
axis
response
outlined.
Examples
specific
genes
undergoing
methylation
association
outcomes
provided.
Limitations
e.g.,
uncertain
clinical
diagnosis,
conceptual
inconsistencies,
technical
drawbacks
reviewed,
suggestions
advances
using
new
technologies
novel
directions.
We
thereby
provide
platform
field
build.
Frontiers in Psychology,
Journal Year:
2023,
Volume and Issue:
14
Published: May 26, 2023
The
artificial
intelligence
chatbot,
ChatGPT,
has
gained
widespread
attention
for
its
ability
to
perform
natural
language
processing
tasks
and
the
fastest-growing
user
base
in
history.
Although
ChatGPT
successfully
generated
theoretical
information
multiple
fields,
identify
describe
emotions
is
still
unknown.
Emotional
awareness
(EA),
conceptualize
one's
own
others'
emotions,
considered
a
transdiagnostic
mechanism
psychopathology.
This
study
utilized
Levels
of
Awareness
Scale
(LEAS)
as
an
objective,
performance-based
test
analyze
ChatGPT's
responses
twenty
scenarios
compared
EA
performance
with
that
general
population
norms,
reported
by
previous
study.
A
second
examination
was
performed
one
month
later
measure
improvement
over
time.
Finally,
two
independent
licensed
psychologists
evaluated
fit-to-context
responses.
In
first
examination,
demonstrated
significantly
higher
than
on
all
LEAS
scales
(Z
score
=
2.84).
improved,
almost
reaching
maximum
possible
4.26).
Its
accuracy
levels
were
also
extremely
high
(9.7/10).
can
generate
appropriate
responses,
may
improve
clinical
implications,
be
used
part
cognitive
training
populations
impairments.
addition,
EA-like
abilities
facilitate
psychiatric
diagnosis
assessment
enhance
emotional
language.
Further
research
warranted
better
understand
potential
benefits
risks
refine
it
promote
mental
health.
