bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 24, 2023
Abstract
General
intelligence,
referred
to
as
g,
is
hypothesized
emerge
from
the
capacity
dynamically
and
adaptively
reorganize
macroscale
brain
connectivity.
Temporal
reconfiguration
can
be
assessed
using
dynamic
functional
connectivity
(dFC),
which
captures
propensity
of
transition
between
a
recurring
repertoire
distinct
states.
Conventional
dFC
metrics
commonly
focus
on
categorical
state
switching
frequencies
do
not
fully
assess
individual
variation
in
continuous
reconfiguration.
Here,
we
supplement
frequency
measures
by
quantifying
within-state
consistency,
dissimilarity
across
states,
conformity
group-average
We
utilized
resting-state
fMRI
data
large-scale
Human
Connectome
Project
applied
data-driven
multivariate
Partial
Least
Squares
Correlation
explore
emergent
associations
network
properties
cognitive
ability.
Our
findings
reveal
positive
association
g
stable
maintenance
states
characterized
higher-order
networks,
efficient
(i.e.,
minimal
changes
during
transitions
similar
large
dissimilar
states),
ability
sustain
close
This
hints
at
fundamental
brain-behavior
organization,
suggesting
that
general
processing
supported
efficiently
reconfigure
population-typical
patterns.
Impact
Statement
Novel
evidence
for
an
stability,
efficiency,
typicality
macro-scale
patterns
higher
intelligence.
NeuroImage,
Journal Year:
2024,
Volume and Issue:
290, P. 120563 - 120563
Published: March 16, 2024
Individual
differences
in
general
cognitive
ability
(GCA)
have
a
biological
basis
within
the
structure
and
function
of
human
brain.
Network
neuroscience
investigations
revealed
neural
correlates
GCA
structural
as
well
functional
brain
networks.
However,
whether
relationship
between
networks,
structural-functional
network
coupling
(SC-FC
coupling),
is
related
to
individual
remains
an
open
question.
We
used
data
from
1030
adults
Human
Connectome
Project,
derived
connectivity
diffusion
weighted
imaging,
resting-state
fMRI,
assessed
latent
g-factor
12
tasks.
Two
similarity
measures
six
communication
were
model
possible
interactions
arising
SC-FC
was
estimated
degree
which
these
align
with
actual
connectivity,
providing
insights
into
different
strategies.
At
whole-brain
level,
higher
associated
coupling,
but
only
when
considering
path
transitivity
strategy.
Taking
region-specific
variations
strategy
account
differentiating
positive
negative
associations
GCA,
allows
for
prediction
scores
cross-validated
framework
(correlation
predicted
observed
scores:
r
=
.25,
p
<
.001).
The
same
also
predicts
completely
independent
sample
(N
567,
.19,
Our
results
propose
neurobiological
correlate
suggest
strategies
efficient
information
processing
predictive
ability.
Intelligence,
Journal Year:
2024,
Volume and Issue:
103, P. 101807 - 101807
Published: Jan. 14, 2024
A
dimensionality
reduction
method
was
used
to
determine
the
task-timing-related
functional
brain
networks
underlying
Raven's
Standard
Progressive
Matrices
(RSPM),
a
non-verbal
estimate
of
fluid
intelligence
(Gf).
We
identified
five
macro-scale
task-based
blood‑oxygen-level-dependent
(BOLD)-signal
and
interpreted
their
network-level
task-induced
BOLD
changes
provide
interpretations
separately
for
each
network.
This
led
new
observations
about
RSPM:
(1)
multiple
demand
network
(MDN)
solution
searching
peaked
early
in
trial
(∼9
s
peak),
followed
by
response
(RESP)
selection
(∼12
s),
re-evaluation
(RE-EV)
checking
(∼18
(2)
high
activity
MDN
correlated
with
later-peaking
RE-EV
network,
proposed
underpin
cooperative
processes,
(3)
all
conditions
associated
low
accuracy
hard
RSPM
condition,
suggesting
that
those
lower
performance
on
problems
allocate
more
resources
into
solution-searching
across
conditions.
These
findings
corroborate
MDN's
significance
Gf
searching,
add
as
playing
an
important
role,
providing
overlap
abstraction/elaboration
hypothesis
testing
phases
Parieto-Frontal
Integration
Theory
(P-FIT).
Therefore,
this
set
results
not
only
supports
past
theoretical
work
task,
but
extends
it
complete
anatomical,
temporal,
information
based
which
replicate
over
many
tasks.
PeerJ,
Journal Year:
2025,
Volume and Issue:
13, P. e19138 - e19138
Published: March 26, 2025
Children
with
learning
disorders
(LD)
perform
below
average
in
tests
of
academic
abilities
and
intelligence.
These
children
also
have
a
significantly
abnormal
resting-state
electroencephalogram
(EEG)
compared
to
typical
development
(TD),
i.e.,
an
excess
slow
brain
oscillations
such
as
delta
theta
that
may
be
markers
inefficient
cognitive
processing.
We
aimed
explore
the
relationship
between
performance
intelligence
test
EEG
power
spectrum
LD.
Ninety-one
LD
45
control
TD
were
evaluated
Wechsler
Intelligence
Scale
for
4th
Edition
(WISC-IV)
19-channel
during
eyes-closed
condition.
The
dimensionality
was
reduced
principal
component
analysis
yielded
several
components
representing
bands
functional
meaning.
first
seven
values
analyzed
multiple
linear
regression
between-group
discriminant
analysis.
related
children's
intelligence,
predicting
13.1%
IQ
variance.
Generalized
inversely
IQ,
whereas
frontoparietal
gamma
activity
directly
related.
resting
state
had
combined
82.4%
success
rate
discriminate
those
LDs.
Intelligence,
Journal Year:
2022,
Volume and Issue:
94, P. 101681 - 101681
Published: July 28, 2022
Despite
over
a
century
of
research
on
intelligence,
the
cognitive
processes
underlying
intelligent
behavior
are
still
unclear.In
this
review,
we
summarize
empirical
results
investigating
contribution
associated
with
working
memory
capacity,
processing
speed,
and
executive
to
intelligence
differences.Specifically,
(a)
evaluate
how
three
different
domains
have
been
measured,
(b)
these
related
individual
differences
in
intelligence.Consistently,
review
illustrates
that
isolating
single
using
average
performance
tasks
is
hardly
possible.Instead,
formal
models
implement
theories
may
provide
more
adequate
indicators
processes.Therefore,
outlined
which
for
specific
insights
into
intelligence.Finally,
discuss
implications
process-oriented
measurement
psy-chometric
argue
model-based
approach
might
overcome
validity
problems
traditional
theories.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 10, 2023
Abstract
Individual
differences
in
general
cognitive
ability
(GCA)
have
a
biological
basis
within
the
structure
and
function
of
human
brain.
Network
neuroscience
investigations
revealed
neural
correlates
GCA
structural
as
well
functional
brain
networks.
However,
whether
relationship
between
networks,
structural-functional
network
coupling
(SC-FC
coupling),
is
related
to
individual
remains
an
open
question.
We
used
data
from
1030
adults
Human
Connectome
Project,
derived
connectivity
diffusion
weighted
imaging,
resting-state
fMRI,
assessed
latent
g
-factor
12
tasks.
Two
similarity
measures
six
communication
were
model
possible
interactions
arising
SC-FC
was
estimated
degree
which
these
align
with
actual
connectivity,
providing
insights
into
different
strategies.
At
whole-brain
level,
higher
associated
coupling,
but
only
when
considering
path
transitivity
strategy.
Taking
region-specific
variations
strategy
account
differentiating
positive
negative
associations
GCA,
allows
for
prediction
scores
cross-validated
framework
(correlation
predicted
observed
scores:
r
=
.25,
p
<
.001).
The
same
also
predicts
completely
independent
sample
(
N
567,
.19,
Our
results
propose
neurobiological
correlate
suggest
strategies
efficient
information
processing
predictive
ability.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
277, P. 120246 - 120246
Published: June 24, 2023
Human
functional
brain
connectivity
can
be
temporally
decomposed
into
states
of
high
and
low
cofluctuation,
defined
as
coactivation
regions
over
time.
Rare
particularly
cofluctuation
have
been
shown
to
reflect
fundamentals
intrinsic
network
architecture
highly
subject-specific.
However,
it
is
unclear
whether
such
network-defining
also
contribute
individual
variations
in
cognitive
abilities
-
which
strongly
rely
on
the
interactions
among
distributed
regions.
By
introducing
CMEP,
a
new
eigenvector-based
prediction
framework,
we
show
that
few
16
separated
time
frames
(<
1.5%
10
min
resting-state
fMRI)
significantly
predict
differences
intelligence
(N
=
263,
p
<
.001).
Against
previous
expectations,
individual's
do
not
intelligence.
Multiple
networks
prediction,
all
results
replicate
an
independent
sample
831).
Our
suggest
although
person-specific
connectomes
derived
from
highest
connectivity,
information
necessary
extract
about
abilities.
This
restricted
specific
states,
like
high-cofluctuation
but
rather
reflected
across
entire
length
series.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
279, P. 120319 - 120319
Published: Aug. 12, 2023
Human
cognitive
performance
is
a
key
function
whose
biological
foundations
have
been
partially
revealed
by
genetic
and
brain
imaging
studies.
The
sleep
electroencephalogram
(EEG)
tightly
linked
to
structural
functional
features
of
the
central
nervous
system
serves
as
another
promising
biomarker.
We
used
data
from
MrOS,
large
cohort
older
men
cross-validated
regularized
regression
link
EEG
in
cross-sectional
analyses.
In
independent
validation
samples
2.5-10%
variance
can
be
accounted
for
features,
depending
on
covariates
used.
Demographic
characteristics
account
more
covariance
between
cognition
than
health
variables,
consequently
reduce
this
association
greater
degree,
but
even
with
strictest
covariate
sets
statistically
significant
present.
Sigma
power
NREM
beta
REM
were
associated
better
performance,
while
theta
was
worse
no
substantial
effect
coherence
other
metrics.
Our
findings
show
that
(r
=
0.283),
strongest
ascribed
spindle-frequency
activity.
This
becomes
weaker
after
adjusting
demographic
0.186)
variables
0.155),
its
resilience
inclusion
suggest
it
also
reflects
trait-like
differences
ability.
Psychophysiology,
Journal Year:
2023,
Volume and Issue:
61(2)
Published: Nov. 10, 2023
Abstract
It
is
well
established
that
P3
latencies
increase
with
age.
Investigating
these
age‐related
differences
requires
numerous
methodological
decisions,
resulting
in
pipelines
of
great
variation.
The
aim
the
present
work
was
to
investigate
effects
different
analytical
on
real
data.
Therefore,
we
conducted
an
explorative
multiverse
study
and
varied
low‐pass
filter
(4
Hz,
8
16
32
no
filter),
latency
type
(area
vs.
peak),
level
event‐related
potential
analysis
(single
participant
jackknifing),
extraction
method
(manual
automated).
Thirty
young
(18–21
years)
30
old
(50–60
participants
completed
three
tasks
(Nback
task,
Switching
Flanker
task),
while
EEG
recorded.
results
show
strategies
can
have
a
tremendous
impact
detection
magnitude
age
effect,
effect
sizes
ranging
from
0%
88%
explained
variance.
Likewise,
regarding
psychometric
properties
latencies,
found
reliabilities
fluctuated
between
r
tt
=
.20
1.00,
homogeneities
ranged
h
−.12
.90.
Based
predefined
criteria,
most
effective
relied
manual
based
single
participant's
For
peak
performed
for
all
filters
except
4
area
above
Hz
produced
desirable
results.
Furthermore,
our
findings
add
evidence
jackknifing
combined
lead
inconclusive
It
is
well
established
that
P3
latencies
increase
with
age.
Investigating
these
age-related
differences
requires
numerous
methodological
decisions,
resulting
in
pipelines
of
great
variation.
The
aim
the
present
work
to
investigate
effects
different
analytical
on
real
data.
Therefore,
we
conducted
an
explorative
multiverse
study
and
varied
low-pass
filter
(4
Hz,
8
16
32
no
filter),
latency
type
(area
vs.
peak),
level
ERP
analysis
(single
participant
jackknifing)
extraction
method
(manual
automated).
30
young
(18
–
21
years)
old
(50
60
participants
completed
three
tasks
(Nback
task,
Switching
Flanker
task)
while
EEG
was
recorded.The
results
show
strategies
can
have
a
tremendous
impact
detection
magnitude
age
effect,
effect
sizes
ranging
from
0%
88%
explained
variance.
Likewise,
regarding
psychometric
properties
latencies,
found
reliabilities
fluctuated
between
rtt
=
.20
1.00,
homogeneities
ranged
rh
-.12
.90.
Based
predefined
criteria,
most
effective
relied
manual
based
single
participant's
For
peak
performed
for
all
filters
except
4
area
above
Hz
produced
desirable
results.
Furthermore,
our
findings
add
evidence
jackknifing
combined
lead
inconclusive