Advanced autism detection and visualization through XGBoost algorithm for fNIRS hemo-dynamic signals
Expert Systems with Applications,
Journal Year:
2025,
Volume and Issue:
unknown, P. 127013 - 127013
Published: March 1, 2025
Language: Английский
Exploring Inter‐Brain Coherence Between Fathers and Infants During Maternal Storytelling: An fNIRS Hyperscanning Study
Xin Zhou,
No information about this author
Xuancu Hong,
No information about this author
Patrick C. M. Wong
No information about this author
et al.
Infant and Child Development,
Journal Year:
2025,
Volume and Issue:
34(2)
Published: Feb. 26, 2025
ABSTRACT
The
current
study
examined
the
inter‐brain
coherence
(IBC)
between
34
dyads
of
fathers
and
infants
7–9
months
age
using
functional
near‐infrared
spectroscopy
(fNIRS).
We
specifically
focused
on
father–infant
IBC
to
broaden
empirical
base
beyond
mother–infant
connections,
as
former
has
received
limited
attention.
There
were
three
conditions:
a
baseline
condition
two
task
conditions
when
infant
adult
participant
jointly
listened
maternal
storytelling
in
Cantonese
infant‐directed
speech
(IDS)
adult‐directed
(ADS).
Father–infant
was
compared
with
stranger–infant
same
experimental
settings.
Our
results
found
that
greater
ADS
but
not
IDS
condition,
IBC.
Further,
showed
than
no
significance
conditions.
These
identified
different
connection
mechanisms
dyads.
pattern
is
driven
by
neural
entrainment
mothers'
speech,
whereas
more
resistant
behaviours
co‐presence
both
parents.
Language: Английский
Language-specific Tonal Features Drive Speaker-Listener Neural Synchronization
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Abstract
Verbal
communication
transmits
information
across
diverse
linguistic
levels,
with
neural
synchronization
(NS)
between
speakers
and
listeners
emerging
as
a
putative
mechanism
underlying
successful
exchange.
However,
the
specific
speech
features
driving
this
how
language-specific
versus
universal
characteristics
facilitate
transfer
remain
poorly
understood.
We
developed
novel
content-based
interbrain
encoding
model
to
disentangle
contributions
of
acoustic
speaker-listener
NS
during
Mandarin
storytelling
listening,
measured
via
magnetoencephalography
(MEG).
Results
revealed
robust
throughout
frontotemporal-parietal
networks
systematic
time
lags
production
perception.
Crucially,
suprasegmental
lexical
tone
(tone
categories,
pitch
height,
contour),
essential
for
meaning
in
Mandarin,
contributed
more
significantly
than
either
elements
or
segmental
units
(consonants
vowels).
These
tonal
generated
distinctive
spatiotemporal
patterns,
creating
“communication
channels”
that
facilitated
efficient
representation
sharing
interlocutors.
Furthermore,
strength
patterns
driven
by
these
predicted
success.
findings
demonstrate
mechanisms
shared
representations
verbal
exchange
highlight
can
shape
coupling
optimize
human
communication.
Language: Английский
Interbrain synchrony attenuation during a peer cooperative task in young children with autistic traits –an EEG hyperscanning study
NeuroImage,
Journal Year:
2025,
Volume and Issue:
312, P. 121217 - 121217
Published: April 15, 2025
Young
children
with
autism
spectrum
disorder
(ASD)
traits
frequently
encounter
difficulties
in
peer
interaction.
Assessing
interaction
performance
is
crucial
but
challenging
within
the
clinical
diagnostic
paradigm
of
ASD.
Hyperscanning,
which
simultaneously
monitors
brain
activity
multiple
individuals,
has
become
a
popular
tool
for
assessing
social
interaction's
neural
features.
The
present
study
aims
to
investigate
brain-to-brain
connectivity
between
child-dyads
engaged
game-like
collaborative
task
via
hyperscanning
electroencephalogram
(EEG)
approach.
final
sample
comprised
66
young
children:
18
child
dyads
typical
development
(TD),
TD-TD,
and
15
ASD
matched
TD,
TD-ASD.
indicated
depressed
level
dyad
group
as
responder,
notable
decrease
observed
beta
oscillation
over
right
parietal
left
temporal
coupling
subjects.
A
pattern
that
differed
from
TD-TD
was
identified
regard
full-band
right-to-right
region.
It
exhibited
enhanced
following
completion
task,
not
case
TD-ASD
group.
Significant
correlations
were
scores
on
symptom
rating
scale
selected
significant
interbrain
index.
application
EEG
demonstrated
participating
autistic
an
attenuated
apparently
distinct
alteration
comparison
control
These
findings
highlight
value
physiologically
based
measures
informing
etiological
interventional
studies
neuropsychiatry.
Language: Английский
Relational Neuroscience: insights from hyperscanning research
Neuroscience & Biobehavioral Reviews,
Journal Year:
2024,
Volume and Issue:
169, P. 105979 - 105979
Published: Dec. 13, 2024
Humans
are
highly
social,
typically
without
this
ability
requiring
noticeable
efforts.
Yet,
such
social
fluency
poses
challenges
both
for
the
human
brain
to
compute
and
scientists
study.
Over
last
few
decades,
neuroscientific
research
of
sociality
has
witnessed
a
shift
in
focus
from
single-brain
analysis
complex
dynamics
occurring
across
several
brains,
posing
questions
about
what
these
mean
how
they
relate
multifaceted
behavioural
models.
We
propose
term
'Relational
Neuroscience'
collate
interdisciplinary
field
devoted
modelling
inter-brain
subserving
connections,
spanning
real-time
joint
experiences
long-term
bonds.
Hyperscanning,
i.e.,
simultaneously
measuring
activity
multiple
individuals,
proven
be
promising
technique
investigate
dynamics.
Here,
we
discuss
hyperscanning
can
help
within
Relational
Neuroscience,
considering
variety
subfields,
including
cooperative
interactions
dyads
groups,
empathy,
attachment
bonding,
developmental
neuroscience.
While
presenting
Neuroscience
light
hyperscanning,
our
discussion
also
takes
into
account
behaviour,
physiology
endocrinology
properly
interpret
contexts.
consider
strengths
but
limitations
caveats
answer
interacting
people.
The
aim
is
provide
an
integrative
framework
future
work
build
better
theories
contexts
subfields
model
sociality.
Language: Английский
Impact of Physical Activity, Sedentary Behavior, and Basal Metabolic Rate on PTSD, Depression, and Emotional Instability
Tianyi Lyu,
No information about this author
Haonan Qian,
No information about this author
Sung-Pil Chung
No information about this author
et al.
Brain Sciences,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1071 - 1071
Published: Oct. 27, 2024
Objective:
This
study
aimed
to
investigate
the
potential
associations
between
physical
activity,
sedentary
behavior,
and
basal
metabolic
rate
(BMR)
with
post-traumatic
stress
disorder
(PTSD),
major
depressive
(MDD),
emotional
instability
(EI)
using
bidirectional
Mendelian
randomization
(MR).
Additionally,
it
sought
identify
key
molecular
mechanisms
underlying
through
a
comprehensive
bioinformatic
analysis.
Methods:
MR
analyses
utilizing
genome-wide
association
(GWAS)
data
were
conducted
estimate
effects
of
BMR
on
PTSD,
MDD,
EI.
Sensitivity
performed
assess
robustness
findings.
Concurrently,
analysis
was
executed
gene
expression
datasets
(GSE53987
GSE21138)
derived
from
emotionally
unstable
patients.
encompassed
differential
differentially
expressed
genes
(DEGs),
followed
by
an
functional
enrichment
uncover
pathways
associated
Results:
The
revealed
that
increased
activity
may
have
protective
effect
against
albeit
inconsistent
MDD
Sedentary
behavior
demonstrated
minimal
or
identified
114
DEGs
EI,
YWHAB,
SRRM2,
MST1,
HDAC10,
HSPA1A
highlighted
as
significant
genes.
these
unveiled
potentially
involved
in
pathology
instability.
Conclusions:
Physical
appears
protect
whereas
its
EI
are
less
definitive.
findings
offer
deeper
understanding
pinpointing
specific
serve
therapeutic
targets.
Further
research
is
warranted
elucidate
intricate
interactions
mechanisms.
Language: Английский