EEG during dynamic facial emotion processing reveals neural activity patterns associated with autistic traits in children
Cerebral Cortex,
Journal Year:
2025,
Volume and Issue:
35(2)
Published: Jan. 22, 2025
Altered
brain
connectivity
and
atypical
neural
oscillations
have
been
observed
in
autism,
yet
their
relationship
with
autistic
traits
nonclinical
populations
remains
underexplored.
Here,
we
employ
electroencephalography
to
examine
functional
connectivity,
oscillatory
power,
broadband
aperiodic
activity
during
a
dynamic
facial
emotion
processing
task
101
typically
developing
children
aged
4
12
years.
We
investigate
associations
between
these
electrophysiological
measures
of
dynamics
as
assessed
by
the
Social
Responsiveness
Scale,
2nd
Edition
(SRS-2).
Our
results
revealed
that
increased
processing-related
across
theta
(4
7
Hz)
beta
(13
30
frequencies
correlated
positively
higher
SRS-2
scores,
predominantly
right-lateralized
(theta)
bilateral
(beta)
cortical
networks.
Additionally,
steeper
1/f-like
slope
(spectral
exponent)
fronto-central
electrodes
was
associated
scores.
Greater
aperiodic-adjusted
alpha
power
further
both
scores
slopes.
These
findings
underscore
important
links
children.
Future
work
could
extend
assess
electroencephalography-derived
markers
potential
mechanisms
underlying
behavioral
difficulties
autism.
Language: Английский
EEG During Dynamic Facial Emotion Processing Reveals Neural Activity Patterns Associated with Autistic Traits in Children
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 28, 2024
Abstract
Altered
brain
connectivity
and
atypical
neural
oscillations
have
been
observed
in
autism,
yet
their
relationship
with
autistic
traits
non-clinical
populations
remains
underexplored.
Here,
we
employ
electroencephalography
(EEG)
to
examine
functional
connectivity,
oscillatory
power,
broadband
aperiodic
activity
during
a
dynamic
facial
emotion
processing
(FEP)
task
101
typically
developing
children
aged
4-12
years.
We
investigate
associations
between
these
electrophysiological
measures
of
dynamics
as
assessed
by
the
Social
Responsiveness
Scale,
2nd
Edition
(SRS-2).
Our
results
revealed
that
increased
FEP-related
across
theta
(4-7
Hz)
beta
(13-30
frequencies
correlated
positively
higher
SRS-2
scores,
predominantly
right-lateralized
(theta)
bilateral
(beta)
cortical
networks.
Additionally,
steeper
1/
f
-like
slope
(spectral
exponent)
fronto-central
electrodes
was
associated
scores.
Greater
aperiodic-adjusted
alpha
power
further
both
scores
slopes.
These
findings
underscore
important
links
children.
Future
work
could
extend
assess
EEG-derived
markers
potential
mechanisms
underlying
behavioural
difficulties
autism.
Language: Английский