Reduced recruitment of inhibitory control regions in very young children with ADHD during a modified Kiddie Continuous Performance Task: a fMRI study.
Mohammadreza Bayat,
No information about this author
Melissa L. Hernandez,
No information about this author
Madeline Curzon
No information about this author
et al.
Cortex,
Journal Year:
2025,
Volume and Issue:
185, P. 153 - 169
Published: Feb. 25, 2025
Language: Английский
Optimizing working memory assessment: development of shortened versions of complex spans, updating, and binding tasks
Fábio Monteiro,
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Letícia Botan Nascimento,
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José Leitão
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et al.
Psychological Research,
Journal Year:
2025,
Volume and Issue:
89(2)
Published: March 8, 2025
Abstract
Given
the
lengthy
administration
of
most
working
memory
(WM)
tasks,
some
researchers
have
developed
reduced
versions
these
tests.
However,
they
focused
primarily
on
complex
spans.
Recent
studies
suggested
that
estimating
capacity
(WMC)
using
multiple
tasks
from
different
paradigms
enhances
measurement
accuracy
by
isolating
WMC
variation
task-
and
paradigm-specific
influences.
Considering
this,
we
evaluated
whether
spans,
updating,
binding
could
be
shortened
while
maintaining
robust
psychometric
properties.
Participants
completed
full-length
tests
paradigms,
which
were
then
segmented
into
early,
intermediate,
later
trial
blocks.
The
WM
based
early
They
accounted
for
variance
in
a
set
factor
scores
derived
(
R
2
=
0.90).
Additionally,
presented
similar
ability
to
predict
fluid
intelligence
Gf
).
time
35%,
saving
around
30
min.
To
help
select
suitable
combination
and/or
calculated
predicted
every
possible
task
respective
time.
We
believe
will
highly
valuable
researchers,
as
provide
reliable
valid
estimates
time-efficient
manner.
also
examined
provides
better
than
employing
collections
same
class.
Our
results
confirmed
this
hypothesis,
highlighting
importance
diverse
selection
accurately
assess
WMC.
Language: Английский
Meta-analysis of structural and functional brain abnormalities in early-onset schizophrenia
Lu Wang,
No information about this author
Ruishan Liu,
No information about this author
Juan Liao
No information about this author
et al.
Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 23, 2024
Background
Previous
studies
based
on
resting-state
functional
magnetic
resonance
imaging(rs-fMRI)
and
voxel-based
morphometry
(VBM)
have
demonstrated
significant
abnormalities
in
brain
structure
activity
patients
with
early-onset
schizophrenia
(EOS),
compared
healthy
controls
(HCs),
these
alterations
were
closely
related
to
the
pathogenesis
of
EOS.
However,
previous
suffer
from
limitations
small
sample
sizes
high
heterogeneity
results.
Therefore,
present
study
aimed
effectively
integrate
identify
common
specific
structural
Methods
The
PubMed,
Web
Science,
Embase,
Chinese
National
Knowledge
Infrastructure
(CNKI),
WanFang
databases
systematically
searched
publications
regional
gray
matter
volume
(GMV)
Then,
we
utilized
Seed-based
d
Mapping
Permutation
Subject
Images
(SDM-PSI)
software
conduct
a
whole-brain
voxel
meta-analysis
VBM
rs-fMRI
studies,
respectively,
followed
by
multimodal
overlapping
this
basis
comprehensively
Results
A
total
27
original
(28
datasets)
included
meta-analysis,
including
12
(13
(496
EOS
patients,
395
HCs)
15
(15
GMV
(458
531
HCs).
Overall,
showed
significantly
increased
left
middle
frontal
gyrus
(extending
triangular
part
inferior
gyrus)
right
caudate
nucleus.
On
other
hand,
decreased
superior
temporal
rolandic
operculum),
gyrus,
pole
(superior
gyrus).
Conclusion
This
revealed
that
some
regions
exhibited
or
abnormalities,
such
as
gyri,
prefrontal
cortex,
striatum.
These
findings
may
help
deepen
our
understanding
underlying
pathophysiological
mechanisms
provide
potential
biomarkers
for
diagnosis
treatment
Language: Английский
An Honest Reckoning With the Amygdala and Mental Illness
American Journal of Psychiatry,
Journal Year:
2024,
Volume and Issue:
181(12), P. 1059 - 1075
Published: Dec. 1, 2024
Anxiety
disorders
are
a
leading
source
of
human
misery,
morbidity,
and
premature
mortality.
Existing
treatments
far
from
curative
for
many,
underscoring
the
need
to
clarify
underlying
neural
mechanisms.
Although
many
brain
regions
contribute,
amygdala
has
received
most
intense
scientific
attention.
Over
past
several
decades,
this
scrutiny
yielded
detailed
understanding
function,
but
it
failed
produce
new
clinical
assays,
biomarkers,
or
cures.
Rising
urgent
public
health
challenge
demands
an
honest
reckoning
with
functional-neuroanatomical
complexity
shift
theories
anchored
on
"the
amygdala"
models
centered
specific
nuclei
cell
types.
This
review
begins
by
examining
evidence
studies
rodents,
monkeys,
humans
"canonical
model,"
idea
that
plays
central
role
in
fear-
anxiety-related
states,
traits,
disorders.
Next,
authors
selectively
highlight
work
indicating
canonical
model,
while
true,
is
overly
simplistic
fails
adequately
capture
actual
state
evidentiary
record,
breadth
amygdala-associated
functions
illnesses,
amygdala's
functional
architecture.
The
describe
implications
these
facts
basic
neuroimaging
research.
concludes
some
general
recommendations
grappling
accelerating
efforts
understand
more
effectively
treat
amygdala-related
psychopathology.
Language: Английский
Sustained effects of repeated levodopa (L-DOPA) administration on reward circuitry, effort-based motivation, and anhedonia in depressed patients with higher inflammation
Bekhbat Mandakh,
No information about this author
Zhihao Li,
No information about this author
Boadie W. Dunlop
No information about this author
et al.
Brain Behavior and Immunity,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Language: Английский
Illness-related variables and abnormalities of resting-state brain activity in schizophrenia
Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 6, 2024
Background
The
development
of
neuroimaging
biomarkers
in
patients
with
schizophrenia
(SCZ)
requires
a
refined
clinical
characterization.
A
limitation
the
literature
is
partial
uptake
progress
characterizing
disease-related
features,
particularly
negative
symptoms
(NS)
and
cognitive
impairment
(CI).
In
present
study,
we
assessed
NS
CI
using
up-to-date
instruments
investigated
associations
abnormalities
brain
resting-state
(rs)-activity
features.
Methods
Sixty-two
community-dwelling
SCZ
subjects
participated
study.
Multiple
regression
analyses
were
performed
rs-activity
nine
regions
interest
as
dependent
variables
features
explanatory
variables.
Results
Attention/vigilance
deficits
negatively
associated
dorsal
anterior
cingulate
and,
together
depression,
positively
right
dorsolateral
prefrontal
cortex
rs-activity.
These
Reasoning/problem-solving,
conceptual
disorganization,
inferior
parietal
lobule
temporal
junction
Independent
other
Expressive
Deficit
domain
was
left
ventral
caudate,
while
Motivational
caudate
Conclusion
Neurocognitive
two
symptom
domains
are
different
neural
markers.
Replications
these
findings
could
foster
identification
clinically
actionable
poor
functional
outcomes.
Language: Английский
Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 5, 2024
Brain-wide
association
studies
(BWASs)
have
attempted
to
relate
cognitive
abilities
with
brain
phenotypes,
but
been
challenged
by
issues
such
as
predictability,
test-retest
reliability,
and
cross-cohort
generalisability.
To
tackle
these
challenges,
we
proposed
a
machine-learning
"stacking"
approach
that
draws
information
from
whole-brain
magnetic
resonance
imaging
(MRI)
across
different
modalities,
task-fMRI
contrasts
functional
connectivity
during
tasks
rest
structural
measures,
into
one
prediction
model.
We
benchmarked
the
benefits
of
stacking,
using
Human
Connectome
Projects:
Young
Adults
(n=873,
22-35
years
old)
Projects-Aging
(n=504,
35-100
Dunedin
Multidisciplinary
Health
Development
Study
(Dunedin
Study,
n=754,
45
old).
For
stacked
models
led
out-of-sample
r
∼.5-.6
when
predicting
at
time
scanning,
primarily
driven
contrasts.
Notably,
were
able
predict
participants'
ages
7,
9,
11
their
multimodal
MRI
age
45,
an
0.52.
reached
excellent
level
reliability
(ICC>.75),
even
only
together.
generalisability,
model
non-task
built
dataset
significantly
predicted
in
other
datasets.
Altogether,
stacking
is
viable
undertake
three
challenges
BWAS
for
abilities.
Scientists
had
limited
success
MRI.
machine
learning
method,
called
draw
types
Using
large
databases
(n=2,131,
22-100
old),
found
make
1)
closer
actual
scores
applied
new
individual,
not
part
modelling
process,
2)
reliable
over
times
3)
applicable
data
collected
groups
scanners.
Indeed,
especially
fMRI
task
contrasts,
allowed
us
use
people
aged
childhood
reasonably
well.
Accordingly,
may
help
realise
its
potential
Language: Английский
Happy 1st Birthday, The Transmitter!
Ivan Oransky
No information about this author
The Transmitter,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Language: Английский
Multivariate patterns linking brain microstructure to temperament and behavior in adolescent eating disorders
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 26, 2024
ABSTRACT
Eating
disorders
(EDs)
are
multifaceted
psychiatric
characterized
by
varying
behaviors,
traits,
and
cognitive
profiles
thought
to
drive
symptom
heterogeneity
severity.
Non-invasive
neuroimaging
methods
have
been
critical
elucidate
the
neurobiological
circuitry
involved
in
ED-related
but
often
focused
on
a
limited
set
of
regions
interest
and/or
symptoms.
The
current
study
harnesses
multivariate
map
microstructural
morphometric
patterns
across
entire
brain
multiple
domains
behavior
symptomatology
patients.
Diffusion-weighted
images,
modeled
with
restriction
spectrum
imaging,
were
analyzed
for
91
adolescent
patients
an
ED
48
healthy
controls.
Partial
least
squares
analysis
was
applied
38
behavioral
measures
(encompassing
cognition,
temperament,
symptoms)
restricted
diffusion
white
matter
tracts
subcortical
structures
65
interest.
first
significant
latent
variable
explained
46.9%
covariance
between
microstructure
behavior.
This
retained
brain-behavior
correlation
held-out
data,
where
‘undercontrolled’
profile
(e.g.,
higher
emotional
dysregulation,
novelty
seeking;
lower
effortful
control
interoceptive
awareness)
linked
increased
tracts,
particularly
those
joining
frontal,
limbic,
thalamic
regions.
Individually-derived
scores
this
binge-purge
symptoms,
compared
only
restrictive
eating
Findings
demonstrate
value
applying
modeling
array
relationships
inherent
clinical
presentation
EDs,
their
relevance
providing
neurobiologically-informed
model
future
subtyping
prediction
efforts.
Language: Английский