Abstract
Background
Sensory
over-responsivity
(SOR)
is
an
impairing
sensory
processing
challenge
in
autism
spectrum
disorder
(ASD)
which
shows
heterogenous
developmental
trajectories
and
appears
to
improve
into
adulthood
some
but
not
all
autistic
individuals.
However,
the
neural
mechanisms
underlying
interindividual
differences
these
are
currently
unknown.
Methods
Here,
we
used
functional
magnetic
resonance
imaging
(fMRI)
investigate
association
between
age
activity
linearly
nonlinearly
response
mildly
aversive
stimulation
as
well
how
SOR
severity
moderates
this
association.
Participants
included
52
ASD
(14F)
41
(13F)
typically
developing
(TD)
youth,
aged
8.6–18.0
years.
Results
We
found
that
pre-teens,
children
showed
widespread
activation
sensorimotor,
frontal
cerebellar
regions
compared
TD
children,
while
there
were
fewer
teens.
In
older
was
associated
with
less
prefrontal
cortex.
contrast,
more
engagement
of
integration
emotion
regulation
regions.
particular,
orbitofrontal
medial
cortices
a
nonlinear
relationship
ASD,
especially
steep
increase
sensory-evoked
during
mid-to-late
teen
There
also
interaction
youth
such
age-related
trends
apparent
higher
SOR.
Limitations
The
cross-sectional
design
limits
causal
interpretations
data.
Future
longitudinal
studies
will
be
instrumental
determining
co-develop
across
adolescence.
Conclusions
Our
results
suggest
enhanced
recruitment
may
underlie
decreases
for
subgroup
youth.
Cerebral Cortex,
Год журнала:
2023,
Номер
33(12), С. 7311 - 7321
Опубликована: Фев. 22, 2023
Autism
spectrum
disorder
(ASD)
is
characterized
by
highly
structural
heterogeneity.
However,
most
previous
studies
analyzed
between-group
differences
through
a
covariance
network
constructed
based
on
the
ASD
group
level,
ignoring
effect
of
between-individual
differences.
We
gray
matter
volume-based
individual
differential
(IDSCN)
using
T1-weighted
images
207
children
(ASD/healthy
controls:
105/102).
heterogeneity
and
among
subtypes
obtained
K-means
clustering
analysis
evidently
different
edges
relative
to
healthy
controls.
The
relationship
between
distortion
coefficients
(DCs)
calculated
at
whole-brain,
intra-
interhemispheric
levels
clinical
symptoms
was
then
examined.
Compared
with
control
group,
showed
significantly
altered
mainly
involved
in
frontal
subcortical
regions.
Given
IDSCN
ASD,
we
2
subtypes,
positive
DCs
were
different.
Intra-
negative
can
predict
severity
repetitive
stereotyped
behaviors
1
2,
respectively.
These
findings
highlight
crucial
role
regions
necessity
studying
from
perspective
Brain Behavior & Immunity - Health,
Год журнала:
2023,
Номер
34, С. 100698 - 100698
Опубликована: Ноя. 3, 2023
Autism
spectrum
disorder
(ASD)
is
a
common
and
complex
neurodevelopmental
condition.
The
pathophysiology
of
ASD
poorly
defined;
however,
it
includes
strong
genetic
component
there
increasing
evidence
to
support
role
immune
dysregulation.
Nonetheless,
unclear
which
phenotypes
link
through
genetics.
Hence,
we
investigated
the
correlation
between
diverse
classes
conditions
markers;
if
these
immune-related
factors
specific
autistic-like
traits
in
population.
We
estimated
global
local
correlations
(n
=
55,420)
11
14,256-755,406)
using
genome-wide
association
study
summary
statistics.
Subsequently,
polygenic
scores
(PGS)
for
were
calculated
population-based
sample
2487)
associated
five
(i.e.,
attention
detail,
childhood
behaviour,
imagination,
rigidity,
social
skills),
total
score.
Sex-stratified
PGS
analyses
also
performed.
At
level,
was
positively
correlated
with
allergic
diseases
(ALG),
negatively
lymphocyte
count,
rheumatoid
arthritis
(RA),
systemic
lupus
erythematosus
(SLE)
(FDR-p
0.01-0.02).
RA,
C-reactive
protein,
granulocytes
counts
(p
5.8
×
10-6-0.002).
In
general
population
sample,
increased
liability
SLE,
ALG,
levels,
captured
by
PGS,
autistic
score
rigidity
behaviour
0.03).
conclusion,
demonstrated
relationship
immunity
that
depends
on
type
phenotype
considered;
some
increase
likelihood
whereas
others
may
potentially
help
build
resilience.
Also,
this
be
restricted
loci
dimensions
(e.g.,
rigidity).
Autism Research,
Год журнала:
2022,
Номер
15(12), С. 2250 - 2264
Опубликована: Сен. 26, 2022
A
growing
body
of
research
suggests
that
locus
coeruleus-norepinephrine
(LC-NE)
system
may
function
differently
in
individuals
with
autism
spectrum
disorder
(ASD).
Understanding
the
dynamics
both
tonic
(resting
pupil
diameter)
and
phasic
(pupil
dilation
response
[PDR]
event-related
potential
[ERP])
indices
provide
meaningful
insights
about
nature
LC-NE
ASD.
Twenty-four
children
ASD
27
age-
nonverbal-IQ
matched
typically
developing
(TD)
completed
two
experiments:
(1)
a
resting
eye-tracking
task
to
measure
diameter,
(2)
three-stimulus
oddball
paradigm
responsivity
using
PDR
ERP.
Consistent
prior
reports,
our
results
indicate
exhibit
increased
reduced
(PDR
ERP)
activity
compared
their
TD
peers.
For
groups,
decreased
was
associated
diameter.
Lastly,
were
primarily
related
measures
attention-deficit/hyperactivity
(ADHD),
not
ASD,
symptomatology.
These
findings
expand
understanding
neurophysiological
differences
present
demonstrate
aberrant
activation
be
atypical
arousal
behaviorally-relevant
information
Abstract
Background
Autism
spectrum
disorders
(ASD)
are
neurodevelopmental
conditions
accompanied
by
differences
in
brain
development.
Neuroanatomical
autism
variable
across
individuals
and
likely
underpin
distinct
clinical
phenotypes.
To
parse
heterogeneity,
it
is
essential
to
establish
how
the
neurobiology
of
ASD
modulated
associated
with
co-occurring
conditions,
such
as
attention-deficit/hyperactivity
disorder
(ADHD).
This
study
aimed
(1)
investigate
between-group
autistic
without
ADHD,
(2)
link
these
variances
putative
genomic
underpinnings.
Methods
We
examined
cortical
thickness
(CT)
surface
area
(SA)
their
associations
a
sample
533
from
Longitudinal
European
Project.
Using
general
linear
model
including
main
effects
an
ASD-by-ADHD
interaction,
we
which
degree
ADHD
modulates
autism-related
neuroanatomy.
Further,
leveraging
spatial
gene
expression
data
Allen
Human
Brain
Atlas,
identified
genes
whose
patterns
resemble
our
neuroimaging
findings.
Results
In
addition
significant
for
fronto-temporal,
limbic,
occipital
regions,
observed
interaction
left
precentral
gyrus
right
frontal
measures
CT
SA,
respectively.
Moreover,
+
differed
those
without.
Both
were
enriched
ASD—but
not
ADHD-related
genes.
Limitations
Although
employed
multicenter
design
overcome
single-site
recruitment
limitations,
size
N
=
25
only
group
relatively
small
compared
other
subgroups,
limits
generalizability
results.
Also,
assigned
subjects
into
positive
groupings
according
DSM-5
rating
scale.
While
this
sufficient
obtaining
research
diagnosis
approach
did
take
account
long
symptoms
have
been
present,
typically
considered
when
assessing
setting.
Conclusion
Thus,
findings
suggest
that
neuroanatomy
significantly
may
specific
neuroanatomical
underpinnings
potentially
mediated
atypical
expression.
Human Brain Mapping,
Год журнала:
2024,
Номер
45(10)
Опубликована: Июль 11, 2024
The
cerebellum
has
been
involved
in
social
abilities
and
autism.
Given
that
the
is
connected
to
cortex
via
cerebello-thalamo-cortical
loop,
connectivity
between
cortical
regions
interactions,
is,
right
temporo-parietal
junction
(rTPJ)
studied
individuals
with
autism,
who
suffer
from
prototypical
deficits
abilities.
However,
existing
studies
small
samples
of
categorical,
case-control
comparisons
have
yielded
inconsistent
results
due
inherent
heterogeneity
suggesting
investigating
how
clinical
dimensions
are
related
cerebellar-rTPJ
functional
might
be
more
relevant.
Therefore,
our
objective
was
study
rTPJ,
focusing
on
its
association
a
dimensional
perspective
transdiagnostic
sample.
We
analyzed
structural
magnetic
resonance
imaging
(MRI)
MRI
(fMRI)
scans
obtained
during
naturalistic
films
watching
large
dataset,
Healthy
Brain
Network
(HBN),
examined
cerebellum-rTPJ
measured
responsiveness
scale
(SRS).
conducted
univariate
seed-to-voxel
analysis,
multivariate
canonical
correlation
analysis
(CCA),
predictive
support
vector
regression
(SVR).
included
1404
subjects
(age:
10.516
±
3.034,
range:
5.822-21.820,
506
females)
414
11.260
3.318
years,
6.020-21.820,
161
females).
Our
CCA
model
revealed
significant
connectivity,
full-scale
IQ
(FSIQ)
SRS
scores.
this
effect
primarily
driven
by
FSIQ
as
suggested
SVR
analysis.
also
demonstrated
specificity
rTPJ
influence
anatomy
association.
suggest
there
complex
relationship
performance
IQ.
This
specific
largely
these
two
regions.
PRACTITIONER
POINTS:
cerebellum-right
temporoparietal
pediatric
found
Cerebellum
Importance
In
the
neurotypical
brain,
regions
develop
in
coordinated
patterns,
providing
a
fundamental
scaffold
for
brain
function
and
behavior.
Whether
altered
patterns
contribute
to
clinical
profiles
neurodevelopmental
conditions,
including
autism,
remains
unclear.
Objectives
To
examine
if,
differently
relation
each
other
how
these
differences
are
associated
with
molecular/genomic
mechanisms
symptomatology.
Design,
Setting,
Participants
This
study
was
an
analysis
of
one
largest
deep-phenotyped,
case-control,
longitudinal
(2
assessments
separated
by
approximately
12-24
months)
structural
magnetic
resonance
imaging
cognitive-behavioral
autism
datasets
(EU-AIMS
Longitudinal
European
Autism
Project
[LEAP];
dates,
February
2014-November
2017)
out-of-sample
validation
Brain
Development
Imaging
Study
(BrainMapASD)
independent
cohort.
Analyses
were
performed
during
2022
2023
period.
multicenter
included
autistic
children,
adolescents,
adults.
Autistic
participants
if
they
had
existing
diagnosis
(
DSM-IV
/
International
Statistical
Classification
Diseases
Related
Health
Problems,
Tenth
Revision
or
DSM-5
criteria).
co-occurring
psychiatric
conditions
(except
psychosis/bipolar
disorder)
those
taking
regular
medications
included.
Exposures
Neuroanatomy
participants.
Main
Outcomes
Measures
Intraindividual
changes
surface
area
cortical
thickness
over
time,
analyzed
via
surface-based
morphometrics.
Results
A
total
386
individuals
LEAP
cohort
(6-31
years
at
first
visit;
214
individuals,
mean
[SD]
age,
17.3
[5.4]
years;
154
male
[72.0%]
172
16.35
[5.7]
108
[62.8%])
146
BrainMapASD
(11-18
49
14.31
[2.4]
42
[85.7%]
97
14.10
[2.5]
58
[59.8%]).
Maturational
between-group
established
that
mostly
driven
sensorimotor
(eg,
across
features,
absolute
loadings
early
visual
cortex
ranged
from
0.07
0.11,
whereas
dorsolateral
prefrontal
0.005
0.06).
Neurodevelopmental
transcriptomically
enriched
genes
expressed
several
cell
types
various
stages,
candidate
downregulated
regulating
synaptic
transmission;
enrichment
odds
ratio
=3.7;
P
=2.6
×
−10
).
more
neurotypical,
less
autismlike
maturational
profile
fewer
social
difficulties
typical
sensory
processing
(false
discovery
rate
<.05;
Pearson
r
≥0.17).
replicated
independently
collected
Conclusions
Relevance
this
case-control
suggest
development
involved
complex
interplay
temporally
sensitive
molecular
mechanisms,
may
be
both
lower-order
sensory)
higher-order
social)
features
autism.
Thus,
examining
provide
analytic
framework
neurobiological
origins
neurodevelopmental/mental
health
conditions.
Annual Review of Genetics,
Год журнала:
2024,
Номер
58(1), С. 487 - 512
Опубликована: Ноя. 25, 2024
Autism
represents
a
large
spectrum
of
diverse
individuals
with
varying
underlying
genetic
architectures
and
needs.
For
some
individuals,
single
de
novo
or
ultrarare
variant
has
effect
on
the
intensity
specific
dimensions
phenotype,
while,
for
others,
combination
thousands
variants
commonly
found
in
general
population
are
involved.
The
impact
up
to
30%
autistic
presenting
intellectual
disability,
significant
speech
delay,
motor
and/or
seizures.
common
shared
those
attention-deficit/hyperactivity
disorder,
major
depressive
disorders,
greater
educational
attainment,
higher
cognitive
performance,
suggesting
overlapping
architectures.
modulate
function
chromatin
remodeling
synaptic
proteins
that
influence
connectivity
neuronal
circuits
and,
interaction
environment
each
individual,
subsequent
personal
trajectory
child.
Overall,
this
heterogeneity
mirrors
phenotypic
diversity
provides
helpful
bridge
between
biomedical
neurodiversity
perspectives.
We
propose
participative
multidisciplinary
research
should
use
information
understand
better
assessment,
treatments,
accommodations
autism
families
need.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 17, 2025
Recent
advances
highlight
the
limitations
of
classification
strategies
in
machine
learning
that
rely
on
a
single
data
source
for
understanding,
diagnosing
and
predicting
psychiatric
syndromes.
Moreover,
approaches
based
solely
clinician
labels
often
fail
to
capture
complexity
variability
these
conditions.
research
underlines
importance
considering
multiple
dimensions
span
across
different
These
developments
have
led
more
comprehensive
studying
conditions
incorporate
diverse
sources
such
as
imaging,
genetics,
symptom
reports.
Multi-view
unsupervised
frameworks,
particularly
deep
models,
present
promising
solutions
integrating
analysing
complex
datasets.
Such
models
contain
generative
capabilities
which
facilitate
exploration
relationships
between
views.
In
this
study,
we
propose
robust
framework
interpreting
combines
digital
avatars
with
stability
selection
assess
relationships.
We
apply
Healthy
Brain
Network
cohort
includes
clinical
behavioural
scores
brain
imaging
features,
uncovering
consistent
set
brain-behaviour
interactions.
associations
link
cortical
measurements
obtained
from
structural
MRI
reports
evaluating
symptoms.
Our
effectively
identifies
relevant
stable
associations,
even
incomplete
datasets,
while
isolating
interest
confounding
factors.