Rethinking Neurodevelopmental Boundaries: Distinct and Overlapping Cortical Profiles in Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Their Comorbidity
Biological Psychiatry,
Journal Year:
2025,
Volume and Issue:
97(5), P. 422 - 424
Published: Feb. 5, 2025
Language: Английский
Widening the autism spotlight Off the Spectrum: Why the Science of Autism Has Failed Women and Girls Gina Rippon Seal Press, 2025. 352 pp.
Science,
Journal Year:
2025,
Volume and Issue:
388(6744), P. 257 - 257
Published: April 17, 2025
Underrepresentation
of
girls
and
women
in
studies
warps
our
understanding
the
condition,
argues
a
neuroscientist
Language: Английский
Heterogeneity of morphometric similarity networks in health and schizophrenia
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 29, 2024
Morphometric
similarity
is
a
recently
developed
neuroimaging
phenotype
of
inter-regional
connectivity
by
quantifying
the
region
to
other
regions
based
on
multiple
MRI
parameters.
Altered
average
morphometric
has
been
reported
in
psychotic
disorders
at
group
level,
with
considerable
heterogeneity
across
individuals.
We
used
normative
modeling
address
cross-sectional
and
longitudinal
inter-individual
health
schizophrenia.
Language: Английский
Enhancing early detection of autistic spectrum disorder in children using machine learning approaches
Journal of King Saud University - Science,
Journal Year:
2024,
Volume and Issue:
36(10), P. 103468 - 103468
Published: Sept. 27, 2024
Language: Английский
Congenital heart disease; community-driven policymaking; empathy in autism
Jill Adams
No information about this author
The Transmitter,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Language: Английский
The aberrant language network dynamics in autism ages 5-40 years
Zhe Hu,
No information about this author
Xiaolin Guo,
No information about this author
Junjie Yang
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Abstract
Background
Language
impairments,
which
affect
both
structural
aspects
of
language
and
pragmatic
use,
are
frequently
observed
in
autism
spectrum
disorder
(ASD).
These
impairments
often
associated
with
atypical
brain
development
unusual
network
interaction
patterns.
However,
a
neurological
framework
remains
elusive
to
explain
them.
Methods
In
this
study,
we
utilized
the
dynamic
"meta-networking"
language—a
theoretical
model
that
describes
domain-segregation
dynamics
during
resting
states—to
investigate
cortical
abnormalities
ASD
aged
5–40
years.
Results
Our
findings
revealed
distinct
developmental
trajectories
for
three
domain-specific
subnetworks
ASD,
characterized
by
unique
patterns
hypo-and
hyper-connectivity
vary
age.
Notably,
these
proved
be
strong
predictors
verbal
Intelligence
Quotient
communication
deficits,
though
they
did
not
predict
social
abilities
or
stereotypical
behaviors.
Limitations
Due
limited
availability
linguistic
data,
our
study
was
unable
assess
deficit
profiles
individuals
ASD.
Conclusions
Collectively,
refined
understanding
mechanisms
deficits
Language: Английский
Individualized cortical thickness asymmetry in Autism Spectrum Disorders and Schizophrenia
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 6, 2024
Abstract
Introduction
Cortical
thickness
asymmetry
has
been
proposed
as
a
latent
biomarker
for
Autism
Spectrum
Disorders
(ASD)
and
schizophrenia
(SZ).
However,
the
degree
of
abnormal
at
individual
level
in
ASD
SZ
remains
unclear.
To
investigate
this,
we
applied
normative
modeling.
Methods
Normative
means
whole
brain
regional
(160
cortical
parcels)
index
(AI)
were
established
using
training
set
healthy
subjects
(n=4,904,
45.15%
male,
age
range:
6-95
years),
controlling
age,
sex,
image
quality
scanner.
We
calculated
z-scores
to
quantify
deviations
from
mean
test
consisting
controls
(HC
,
n=526,
40%
male),
participants
with
(n=135,
83%
male)
(n=287,
81%
male).
Regional
deviance
was
assessed
by
counting
number
individuals
significant
below
(infra-normal,
z-score
≤
-1.96)
or
above
(supra-normal,
≥
1.96)
each
parcel.
also
evaluated
regions
participant.
A
data-driven
multivariate
approach
employed
determine
whether
joint
associated
diagnosis.
Results
There
no
differences
AI
between
any
groups.
Distributions
deviances
overlapped
across
all
160
regions,
only
one
superior
temporal
region
which
showed
higher
proportion
supra-normal
values
compared
HC
=
1.14%,
5.92%,
χ
2
15.45,
P
FDR
<
0.05,
ω
0.14).
The
group
had
average
than
(infra-normal:
z
-4.21,
p
0.01;
supra-normal:
-4.33,
0.01).
Multivariate
analysis
association
inter-regional
heterogeneity
consistent
when
resolution
parcellation,
alternative
calculations,
restricted
males,
after
handedness
IQ.
Conclusions
Our
findings
indicate
that
brain,
variability
among
those
is
entirely
accounted
variation.
This
study
challenges
utility
ASD.
Language: Английский
Unraveling the causal pathways of maternal smoking and breastfeeding in the development of neuropsychiatric disorders: A Mendelian randomization perspective
Zheng Zhang,
No information about this author
Jiangyou Yu,
No information about this author
Qiyin Li
No information about this author
et al.
Journal of Affective Disorders,
Journal Year:
2024,
Volume and Issue:
373, P. 35 - 43
Published: Dec. 21, 2024
Language: Английский