A survey of brain functional network extraction methods using fMRI data
Yuhui Du,
No information about this author
Songke Fang,
No information about this author
Xingyu He
No information about this author
et al.
Trends in Neurosciences,
Journal Year:
2024,
Volume and Issue:
47(8), P. 608 - 621
Published: June 20, 2024
Language: Английский
Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions
Human Brain Mapping,
Journal Year:
2025,
Volume and Issue:
46(3)
Published: Feb. 15, 2025
While
the
use
of
naturalistic
stimuli
such
as
movie
clips
for
understanding
individual
differences
and
brain-behaviour
relationships
attracts
increasing
interest,
influence
stimulus
selection
remains
largely
unclear.
By
using
machine
learning
to
predict
traits
(phenotypes)
from
brain
activity
evoked
during
various
clips,
we
show
that
different
can
result
in
distinct
prediction
performances.
In
regions
related
lower-level
processing
stimulus,
a
certain
degree
benefits
stronger
synchronisation
across
subjects.
contrast,
better
predictions
frontoparietal
are
mainly
associated
with
larger
inter-subject
variability.
Furthermore,
demonstrate
while
rich
social
content
general
achieve
predictions,
importance
specific
features
highly
depends
on
phenotype
under
investigation.
Overall,
our
findings
underscore
careful
provide
novel
insights
into
conditions,
opening
new
avenues
future
research.
Language: Английский
Functional brain network dynamics mediate the relationship between female reproductive aging and interpersonal adversity
Nature Mental Health,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Abstract
Premature
reproductive
aging
is
linked
to
heightened
stress
sensitivity
and
psychological
maladjustment
across
the
life
course.
However,
brain
dynamics
underlying
this
relationship
are
poorly
understood.
Here,
address
issue,
we
analyzed
multimodal
data
from
female
participants
in
Adolescent
Brain
Cognitive
Development
(longitudinal,
N
=
441;
aged
9–12
years)
Human
Connectome-Aging
(cross-sectional,
130;
36–60
studies.
Age-specific
intrinsic
functional
network
mediated
link
between
perceptions
of
greater
interpersonal
adversity.
The
adolescent
profile
overlapped
areas
glutamatergic
dopaminergic
receptor
density,
middle-aged
was
concentrated
visual,
attentional
default
mode
networks.
two
profiles
showed
opposite
relationships
with
patterns
neural
variability
cortical
atrophy
observed
psychosis
versus
major
depressive
disorder.
Our
findings
underscore
divergent
maturation
senescence,
which
may
explain
developmentally
specific
vulnerabilities
distinct
disorders.
Language: Английский
The Adolescent Functional Connectome is Dynamically Controlled by a Sparse Core of Cognitive and Topological Hubs
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 15, 2025
Abstract
Fundamental
mechanisms
that
control
the
brain’s
ability
to
dynamically
respond
cognitive
demands
are
poorly
understood,
especially
during
periods
of
accelerated
neural
and
maturation,
such
as
adolescence.
Using
a
sparsity-promoting
feedback
framework
we
investigated
controllability
adolescence
functional
connectome.
Critical
costs
associated
with
region’s
action
on
itself
rest
brain
were
estimated
using
resting-state
fMRI
data
from
an
early
longitudinal
sample
in
Adolescent
Brain
Cognitive
Development
(ABCD)
study
(n
=
1394;
median
(IQR)
age
10.1
(1.1)
years
at
baseline
12.1
follow-up).
A
highly
reproducible,
core
set
predominantly
connected
regions
retained
their
over
connectome
under
high
costs.
They
included
posterior
visual
areas,
retrosplenial
cortex,
cuneus
precuneus,
superior
parietal
lobule,
temporal
ventral
cortex
dorsolateral
lateral
prefrontal
cortices,
i.e.,
both
developed
developing
regions.
These
central
topological
organization
connectome,
consistently
engaged
spontaneous
coordination
networks,
overlapped
hubs
play
ubiquitous
roles
function
Also,
most
received
(integrated)
distributed
approximately
equal
amounts
information.
regions’
was
developmentally
stable,
critical
did
not
change
significantly
puberty,
suggesting
that,
despite
ongoing
maturation
changes
adolescent
brain,
fundamental
system
may
be
well
facilitate
information
processing
response
demands.
Language: Английский
Editorial: Shared responses and individual differences in the human brain during naturalistic stimulations
Zhishan Hu,
No information about this author
Xin Di,
No information about this author
Zhi Yang
No information about this author
et al.
Frontiers in Human Neuroscience,
Journal Year:
2023,
Volume and Issue:
17
Published: May 5, 2023
EDITORIAL
article
Front.
Hum.
Neurosci.,
05
May
2023Sec.
Brain
Imaging
and
Stimulation
Volume
17
-
2023
|
https://doi.org/10.3389/fnhum.2023.1201728
Language: Английский