Situating the salience and parietal memory networks in the context of multiple parallel distributed networks using precision functional mapping
Cell Reports,
Journal Year:
2025,
Volume and Issue:
44(1), P. 115207 - 115207
Published: Jan. 1, 2025
Language: Английский
Within-Individual Precision Mapping of Brain Networks Exclusively Using Task Data
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Precision
mapping
of
brain
networks
within
individuals
has
become
a
widely
used
tool
that
prevailingly
relies
on
functional
connectivity
analysis
resting-state
data.
Here
we
explored
whether
could
be
precisely
estimated
solely
using
data
acquired
during
active
task
paradigms.
The
straightforward
strategy
involved
extracting
residualized
after
application
task-based
general
linear
model
(GLM)
and
then
applying
standard
analysis.
Functional
correlation
matrices
from
were
highly
similar
to
those
derived
traditional
fixation
largest
factor
affecting
similarity
between
was
the
amount
Networks
within-individual
displayed
strong
spatial
overlap
with
predicted
same
triple
dissociation
in
independent
implications
these
findings
are
(1)
existing
can
reanalyzed
estimate
network
organization,
(2)
restingstate
pooled
increase
statistical
power,
(3)
future
studies
exclusively
acquire
both
extract
responses.
Most
broadly,
present
results
suggest
there
is
an
underlying,
stable
architecture
idiosyncratic
individual
persists
across
states.
Language: Английский
Distinct distributed brain networks dissociate self-generated mental states
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 27, 2025
Human
cognition
relies
on
two
modes:
a
perceptually-coupled
mode
where
mental
states
are
driven
by
sensory
input
and
perceptually-decoupled
featuring
self-generated
content.
Past
work
suggests
that
imagined
supported
the
reinstatement
of
activity
in
cortex,
but
transmodal
systems
within
canonical
default
network
also
implicated
mind-wandering,
recollection,
imagining
future.
We
identified
brain
supporting
using
precision
fMRI.
Participants
different
scenarios
scanner,
then
rated
their
several
properties
multi-dimensional
experience
sampling.
found
thinking
involving
scenes
evoked
or
near
network,
while
speech
language
network.
Imagining-related
regions
overlapped
with
viewing
listening
to
speech,
respectively;
however,
this
overlap
was
predominantly
association
networks,
rather
than
adjacent
unimodal
networks.
The
results
suggest
networks
support
high
visual
auditory
vividness.
Different
large-scale
audiolinguistic
Language: Английский