NeuroImage Clinical,
Journal Year:
2021,
Volume and Issue:
32, P. 102811 - 102811
Published: Jan. 1, 2021
Our
current
understanding
of
autism
is
largely
based
on
clinical
experiences
and
research
involving
male
individuals
given
the
male-predominance
in
prevalence
under-inclusion
female
due
to
small
samples,
co-occurring
conditions,
or
simply
being
missed
for
diagnosis.
There
a
significantly
biased
‘male
lens’
this
field
with
autistic
females
insufficiently
understood.
We
therefore
conducted
systematic
review
examine
how
sex
gender
modulate
brain
structure
function
individuals.
Findings
from
past
20
years
are
yet
converge
specific
regions/networks
consistent
sex/gender-modulating
effects.
Despite
at
least
three
well-powered
studies
identifying
patterns
significant
sex/gender-modulation
autism-control
differences,
many
other
likely
underpowered,
suggesting
critical
need
future
investigation
into
sex/gender-based
heterogeneity
better-powered
designs.
Future
should
also
formally
investigate
effects
gender,
beyond
biological
sex,
which
mostly
absent
literature.
Understanding
roles
development
an
imperative
step
extend
field.
Nature Communications,
Journal Year:
2019,
Volume and Issue:
10(1)
Published: Oct. 31, 2019
Abstract
Altered
structural
brain
asymmetry
in
autism
spectrum
disorder
(ASD)
has
been
reported.
However,
findings
have
inconsistent,
likely
due
to
limited
sample
sizes.
Here
we
investigated
1,774
individuals
with
ASD
and
1,809
controls,
from
54
independent
data
sets
of
the
ENIGMA
consortium.
was
significantly
associated
alterations
cortical
thickness
mostly
medial
frontal,
orbitofrontal,
cingulate
inferior
temporal
areas,
also
orbitofrontal
surface
area.
These
differences
generally
involved
reduced
compared
controls.
Furthermore,
putamen
volume
increased
ASD.
The
largest
case-control
effect
size
Cohen’s
d
=
−0.13,
for
superior
frontal
thickness.
Most
effects
did
not
depend
on
age,
sex,
IQ,
severity
or
medication
use.
lateralized
neurodevelopment
may
therefore
be
a
feature
ASD,
affecting
widespread
regions
diverse
functions.
Large-scale
analysis
necessary
quantify
subtle
Imaging Neuroscience,
Journal Year:
2024,
Volume and Issue:
2, P. 1 - 21
Published: Jan. 11, 2024
Abstract
Brain
Age
Gap
(BAG)
is
defined
as
the
difference
between
brain’s
predicted
age
and
chronological
of
an
individual.
Magnetic
resonance
imaging
(MRI)-based
BAG
can
quantify
acceleration
brain
aging,
used
to
infer
health
aging
disease
interact.
Motion
in
scanner
a
common
occurrence
that
affect
acquired
MRI
data
act
major
confound
derived
models.
As
such,
age-related
changes
head
motion
may
impact
observed
differences.
However,
relationship
estimated
by
structural
has
not
been
systematically
examined.
The
aim
this
study
assess
on
voxel-based
morphometry
(VBM)
based
BAG.
Data
were
obtained
from
two
sources:
i)
T1-weighted
(T1w)
MRIs
Cambridge
Centre
for
Ageing
Neuroscience
(CamCAN)
train
prediction
model,
ii)
T1w
Movement-related
artifacts
(MR-ART)
dataset
MR-ART
includes
one
motion-free
motion-affected
(one
low
high)
3D
MRIs.
We
also
visually
rated
levels
0
5,
with
meaning
no
5
high
levels.
All
images
pre-processed
through
standard
VBM
pipeline.
GM
density
across
cortical
subcortical
regions
then
model
motion.
Principal
component
analysis
was
perform
dimension
reduction
extract
VBM-based
features.
regressing
out
portion
delta
explained
age.
Linear
mixed-effects
models
investigate
session
well
severity,
including
participant
IDs
random
effects.
repeated
same
using
thickness
FreeSurfer
7.4.1
compare
results
volumetric
versus
surface-based
measures
morphometry.
In
contrast
induced
motion,
significantly
higher
sessions
2.35
years
(t
=
5.17,
p
<
0.0001),
marginal
effect
0.95
2.11,
0.035)
3.46
11.45,
0.0001)
2.28
7.54,
thickness.
addition,
associated
severity
evaluated
visual
rating
0.45
per
level
4.59,
0.83
12.89,
analysis.
estimates,
needs
be
accounted
confound,
particularly
when
studying
populations
are
known
have
scanner.
These
significant
implications
studies
neurodegeneration.
Based
these
findings,
we
recommend
assessment
inclusion
ratings
such
studies.
cases
proves
prohibitive,
normalized
Euler
number
manuscript
covariate
Excitation-inhibition
(E:I)
imbalance
is
theorized
as
an
important
pathophysiological
mechanism
in
autism.
Autism
affects
males
more
frequently
than
females
and
sex-related
mechanisms
(e.g.,
X-linked
genes,
androgen
hormones)
can
influence
E:I
balance.
This
suggests
that
may
affect
autism
differently
versus
females.
With
a
combination
of
in-silico
modeling
in-vivo
chemogenetic
manipulations
mice,
we
first
show
time-series
metric
estimated
from
fMRI
BOLD
signal,
the
Hurst
exponent
(H),
be
index
for
underlying
change
synaptic
ratio.
In
find
H
reduced,
indicating
increased
excitation,
medial
prefrontal
cortex
(MPFC)
autistic
but
not
Increasingly
intact
MPFC
also
associated
with
heightened
ability
to
behaviorally
camouflage
social-communicative
difficulties,
only
work
ratio
differently.
Communications Biology,
Journal Year:
2020,
Volume and Issue:
3(1)
Published: Sept. 4, 2020
Understanding
heterogeneity
is
an
important
goal
on
the
path
to
precision
medicine
for
autism
spectrum
disorders
(ASD).
We
examined
how
cortical
thickness
(CT)
in
ASD
can
be
parameterized
as
individualized
metric
of
atypicality
relative
typically-developing
(TD)
age-related
norms.
Across
a
large
sample
(n
=
870
per
group)
and
wide
age
range
(5-40
years),
we
applied
normative
modelling
resulting
whole-brain
maps
CT
isolating
small
subgroup
with
highly
age-atypical
CT.
Age-normed
scores
also
highlights
on-average
differentiation,
associations
behavioural
symptomatology
that
separate
from
insights
gleaned
traditional
case-control
approaches.
This
work
showcases
approach
understanding
could
potentially
further
prioritize
subset
individuals
pathophysiology
represented
atypicality.
Only
are
actually
atypical
age-norms.
driving
differences.
Developmental Cognitive Neuroscience,
Journal Year:
2020,
Volume and Issue:
47, P. 100902 - 100902
Published: Dec. 18, 2020
Many
workflows
and
tools
that
aim
to
increase
the
reproducibility
replicability
of
research
findings
have
been
suggested.
In
this
review,
we
discuss
opportunities
these
efforts
offer
for
field
developmental
cognitive
neuroscience,
in
particular
neuroimaging.
We
focus
on
issues
broadly
related
statistical
power
flexibility
transparency
data
analyses.
Critical
considerations
relating
include
challenges
recruitment
testing
young
populations,
how
value
studies
with
small
samples,
working
large-scale
datasets.
Developmental
involve
such
as
choices
about
age
groupings,
lifespan
modelling,
analyses
longitudinal
changes,
can
be
processed
analyzed
a
multitude
ways.
Flexibility
acquisition,
description
may
thereby
greatly
impact
results.
methods
improving
neuroimaging,
preregistration
improve
methodological
rigor.
While
outlining
arise
before,
during,
after
collection,
solutions
resources
are
highlighted
aiding
overcome
some
these.
Since
number
useful
techniques
is
ever-growing,
highlight
fact
many
practices
implemented
stepwise.
NeuroImage Clinical,
Journal Year:
2021,
Volume and Issue:
31, P. 102719 - 102719
Published: Jan. 1, 2021
Females
with
autism
spectrum
disorder
(ASD)
have
been
long
overlooked
in
neuroscience
research,
but
emerging
evidence
suggests
they
show
distinct
phenotypic
trajectories
and
age-related
brain
differences.
Sex-related
biological
factors
(e.g.,
hormones,
genes)
may
play
a
role
ASD
etiology
shown
to
influence
neurodevelopmental
trajectories.
Thus,
lifespan
approach
is
warranted
understand
brain-based
sex
differences
ASD.
This
systematic
review
on
MRI-based
was
conducted
elucidate
variations
across
the
inform
biomarker
discovery
of
females
We
identified
articles
through
two
database
searches.
Fifty
studies
met
criteria
underwent
integrative
review.
found
that
regions
expressing
replicable
sex-by-diagnosis
overlapped
showing
neurotypical
cohorts.
Furthermore,
investigating
broad
age-span
suggest
patterns
Qualitative
comparison
youth
adult
also
supported
this
hypothesis.
However,
many
collapsed
age,
which
mask
accumulating
supports
female
protective
effect
ASD,
although
only
one
study
examined
circuits
implicated
"protection."
When
synthesized
broader
literature,
come
from
various
sources,
including
genetic
endocrine
processes
involved
"masculinization"
"feminization"
early
development,
puberty,
other
windows
hormonal
transition.
sex-related
biology
interact
peripheral
processes,
particular
stress
axis
arousal
system,
produce
males
Future
research
neuroimaging-based
would
benefit
well-controlled
multivariate
studies.
Possible
relationships
between
behavior,
development
remain
largely
unexamined.