Effective connectivity analysis of response inhibition functional network
Frontiers in Neuroscience,
Journal Year:
2025,
Volume and Issue:
19
Published: April 7, 2025
Inhibition
mechanisms
are
essential
in
daily
life,
helping
individuals
adapt
to
environmental
demands.
However,
the
causal
interactions
between
large-scale
functional
networks
involved
response
inhibition
remain
poorly
understood.
In
this
study,
we
examined
effective
connectivity
(EC)
underlying
inhibitory
processes
brain
using
dynamic
modeling
(DCM)
and
independent
component
analysis
(ICA).
We
conducted
a
Go-NoGo
fMRI
task
with
19
healthy
participants
investigate
these
networks.
Our
results
identified
four
activated
during
correct
motor
inhibition:
salience
network
(SN),
right
left
executive
control
(ECNs),
ventral
default
mode
(vDMN).
observed
significant
influence
from
vDMN
ECN
(lECN).
Under
conditions
of
unsuccessful
inhibition,
SN,
bilateral
ECNs,
somatomotor
(SMN)
were
found
be
prominently
activated.
Furthermore,
correlation
SMN
SN
commission
error
rate.
Finally,
analyses
self-reported
impulsivity
levels
revealed
that
highly
impulsive
require
greater
interhemispheric
integration
ECNs
for
as
well
excitatory
modulation
(rECN)
vDMN.
summary,
our
study
reveals
complex
hierarchical
dynamics
among
inhibition.
These
findings
offer
valuable
insight
into
neural
supporting
provide
avenues
future
research
on
underpinnings
critical
cognitive
function
across
lifespan.
Language: Английский
Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions
Behavioral and Brain Functions,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: June 20, 2024
Abstract
Background
The
Default
Mode
Network
(DMN)
is
a
central
neural
network,
with
recent
evidence
indicating
that
it
composed
of
functionally
distinct
sub-networks.
Methylphenidate
(MPH)
administration
has
been
shown
before
to
modulate
impulsive
behavior,
though
not
yet
clear
whether
these
effects
relate
MPH-induced
changes
in
DMN
connectivity.
To
address
this
gap,
we
assessed
the
impact
MPH
on
functional
connectivity
patterns
within
and
between
sub-networks
tested
putative
relations
variability
sub-scales
impulsivity.
Methods
Fifty-five
right-handed
healthy
adults
underwent
two
resting-state
MRI
(rs-fMRI)
scans,
following
acute
either
(20
mg)
or
placebo,
via
randomized
double-blind
placebo-controlled
design.
Graph
modularity
analysis
was
implemented
fractionate
into
based
(vs.
placebo)
other
networks.
Results
led
an
overall
decreased
connectivity,
particularly
auditory,
cinguloopercular,
somatomotor
networks,
increased
parietomedial
network.
revealed
could
be
fractionated
sub-networks,
one
exhibiting
Decreased
sub-network
cinguloopercular
network
associated
elevated
impulsivity
non-planning
impulsiveness.
Conclusion
Current
findings
highlight
intricate
rs-fMRI
uncovering
its
opposing
sub-divisions.
dynamics
networks
may
account
for
some
behavior.
Language: Английский