bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 19, 2023
Abstract
Previous
research
investigating
relations
between
general
intelligence
and
graph-theoretical
properties
of
the
brain’s
intrinsic
functional
network
has
yielded
contradictory
results.
A
promising
approach
to
tackle
such
mixed
findings
is
multi-center
analysis.
For
this
study,
we
analyzed
data
from
four
independent
sets
(total
N
>
2000)
identify
robust
associations
amongst
samples
g
factor
scores
global
as
well
node-specific
graph
metrics.
On
level,
showed
no
significant
with
efficiency
in
any
sample,
but
positive
clustering
coefficient
small-world
propensity
two
samples.
elastic-net
regressions
for
nodal
local
brain
areas
that
exhibited
consistent
sets.
Using
identified
via
regression
one
sample
predict
other
was
not
successful
only
led
predictions
clustering.
Thus,
using
conventional
theoretical
measures
based
on
resting-state
imaging
did
result
replicable
connectivity
intelligence.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 4, 2023
Abstract
Healthy
aging
is
associated
with
a
heterogeneous
decline
across
cognitive
functions,
typically
observed
between
language
comprehension
and
production
(LP).
Examining
resting-state
fMRI
neuropsychological
data
from
628
healthy
adults
(age
18-88)
the
CamCAN
cohort,
we
performed
state-of-the-art
graph
theoretical
analysis
to
uncover
neural
mechanisms
underlying
this
variability.
At
level,
our
findings
suggest
that
LP
not
an
isolated
function
but
modulated
throughout
lifespan
by
extent
of
inter-cognitive
synergy
semantic
domain-general
processes.
cerebral
show
DMN
(Default
Mode
Network)
suppression
coupled
FPN
(Fronto-Parietal
integration
way
for
brain
compensate
effects
dedifferentiation
at
minimal
cost,
efficiently
mitigating
age-related
in
LP.
Relatedly,
reduced
midlife
could
compromise
ability
manage
cost
integration.
This
may
prompt
older
adopt
more
cost-efficient
compensatory
strategy
maintains
global
homeostasis
expense
performances.
Taken
together,
propose
represents
critical
neurocognitive
juncture
signifies
onset
decline,
as
gradually
lose
control
over
representations.
We
summarize
novel
SENECA
model
(Synergistic,
Economical,
Nonlinear,
Emergent,
Cognitive
Aging),
integrating
connectomic
dimensions
within
complex
system
perspective.
Highlights
Lexical
(
)
relies
on
interplay
processes
life.
Default
Network
cooperates
Fronto-Parietal
maintain
performance
cost.
Midlife
marks
shift,
prompting
prioritizes
performance.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 19, 2023
Abstract
Previous
research
investigating
relations
between
general
intelligence
and
graph-theoretical
properties
of
the
brain’s
intrinsic
functional
network
has
yielded
contradictory
results.
A
promising
approach
to
tackle
such
mixed
findings
is
multi-center
analysis.
For
this
study,
we
analyzed
data
from
four
independent
sets
(total
N
>
2000)
identify
robust
associations
amongst
samples
g
factor
scores
global
as
well
node-specific
graph
metrics.
On
level,
showed
no
significant
with
efficiency
in
any
sample,
but
positive
clustering
coefficient
small-world
propensity
two
samples.
elastic-net
regressions
for
nodal
local
brain
areas
that
exhibited
consistent
sets.
Using
identified
via
regression
one
sample
predict
other
was
not
successful
only
led
predictions
clustering.
Thus,
using
conventional
theoretical
measures
based
on
resting-state
imaging
did
result
replicable
connectivity
intelligence.
