Enhancing task fMRI individual difference research with neural signatures
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 31, 2025
Abstract
Task-based
functional
magnetic
resonance
imaging
(tb-fMRI)
has
advanced
our
understanding
of
brain-behavior
relationships.
Standard
tb-fMRI
analyses
suffer
from
limited
reliability
and
low
effect
sizes,
machine
learning
(ML)
approaches
often
require
thousands
subjects,
restricting
their
ability
to
inform
how
brain
function
may
arise
contribute
individual
differences.
Using
data
9,024
early
adolescents,
we
derived
a
classifier
(‘neural
signature’)
distinguishing
between
high
working
memory
loads
in
an
emotional
n-back
fMRI
task,
which
captures
differences
the
separability
activation
two
task
conditions.
Signature
predictions
were
more
reliable
had
stronger
associations
with
performance,
cognition,
psychopathology
than
standard
estimates
regional
activation.
Further,
signature
was
sensitive
required
smaller
training
sample
(N=320)
ML
approaches.
Neural
signatures
hold
tremendous
promise
for
enhancing
informativeness
research
revitalizing
its
use.
Language: Английский
Hierarchical Phenotyping of Psychopathology: Implications and Opportunities for Precision Psychiatry when Biology Could be Associated with both Symptoms and Syndromes
Biological Psychiatry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
Structural-Functional Brain Network Coupling During Task Performance Reveals Intelligence-Relevant Communication Strategies
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 31, 2024
Abstract
Intelligence
is
a
broad
mental
capability
influencing
human
performance
across
tasks.
Individual
differences
in
intelligence
have
been
linked
to
characteristics
of
structural
and
functional
brain
networks.
Here,
we
consider
their
alignment,
the
structural-functional
network
coupling
(SC-FC
coupling)
during
resting
state
active
cognition,
predict
general
intelligence.
Using
DWI
fMRI
data
from
764
participants
Human
Connectome
Project
(Replication:
N
1
=126,
2
=180),
modelled
SC-FC
with
similarity
communication
measures
that
capture
interactions
unfolding
on
top
By
accounting
for
variations
region-specific
neural
signaling
strategies,
show
individual
patterns
scores.
Most
accurate
predictions
resulted
cognitively
demanding
tasks
task
combinations.
Our
study
suggests
existence
an
intrinsic
organization
enabling
fine-drawn
intelligence-relevant
adaptations
support
efficient
information
processing
by
facilitating
adjustment
external
demands.
Language: Английский