bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 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.
Chinese Science Bulletin (Chinese Version),
Год журнала:
2024,
Номер
69(24), С. 3651 - 3665
Опубликована: Янв. 19, 2024
Spatially
corresponding
areas
in
the
left
and
right
hemispheres
of
human
brain,
also
known
as
homotopic
brain
regions,
often
exhibit
functional
similarities,
i.e.,
homotopy.To
understand
principles
mechanisms
homotopy
psychological
behavior,
this
paper
proposes
a
method
for
studying
brain:
affinity.This
quantifies
affinity
regions
by
calculating
cosine
distance
whole-brain
connectivity
patterns
regions.Using
MRI
database
from
Human
Connectome
Project
United
States
China,
we
first
mapped
atlas
with
"700
milliseconds
-2
millimeters"
spatiotemporal
precision,
assessing
its
test-retest
reliability
individual
differences.Subsequently,
located
three
specific
temporo-parietal
junction
through
systematic
analysis
atlas,
discovering
their
hemispheric
lateralization
revealing
associations
attention,
language,
social
cognition.Lastly,
multimodal
correlation
calculations,
further
explored
genetics,
evolution,
structural,
organizational
distribution.In
summary,
our
proposed
provides
reliable
valid
measurement
population
neuroscience
research.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 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.
