bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 5, 2024
Abstract
Developmental
connectomic
studies
have
shown
that
the
modular
organization
of
functional
networks
in
human
brain
undergoes
substantial
reorganization
with
age
to
support
cognitive
growth.
However,
these
implicitly
assume
each
region
belongs
one
and
only
specific
network
module,
ignoring
potential
spatial
overlap
between
modules.
How
overlapping
architecture
develops
whether
this
development
is
related
structural
signatures
remain
unknown.
Using
longitudinal
multimodal
structural,
functional,
diffusion
MRI
data
from
305
children
(aged
6–14
years),
we
investigated
networks,
further
explored
their
associations.
Specifically,
an
edge-centric
model
was
used
identify
modules,
nodal
module
affiliations
quantified
using
entropy
measure.
We
showed
a
remarkable
regional
inhomogeneity
children,
higher
ventral
attention,
somatomotor,
subcortical
lower
visual
default-mode
networks.
Furthermore,
modules
developed
linear,
spatially
dissociable
manner
childhood
adolescence,
significantly
reduced
prefrontal
cortex
putamen
increased
parietal
lobules.
Personalized
patterns
capture
individual
maturity
as
characterized
by
age.
Finally,
can
be
predicted
integrating
gray
matter
morphology
white
properties.
Our
findings
highlight
maturation
substrates,
thereby
advancing
our
understanding
principles
connectome
development.
Journal of Neurodevelopmental Disorders,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: Aug. 26, 2024
Abstract
Background
Accumulating
evidences
indicate
regional
grey
matter
(GM)
morphology
alterations
in
pediatric
growth
hormone
deficiency
(GHD);
however,
large-scale
morphological
brain
networks
(MBNs)
undergo
these
patients
remains
unclear.
Objective
To
investigate
the
topological
organization
of
individual-level
MBNs
GHD.
Methods
Sixty-one
GHD
and
42
typically
developing
controls
(TDs)
were
enrolled.
Inter-regional
similarity
GM
was
taken
to
construct
MBNs.
Between-group
differences
parameters
network-based
statistics
analysis
compared.
Finally,
association
relationship
between
network
properties
clinical
variables
analyzed.
Results
Compared
TDs,
indicated
a
disturbance
normal
small-world
organization,
reflected
by
increased
L
p
,
γ,
λ,
σ
decreased
C
E
glob
(all
P
FDR
<
0.017).
Regarding
nodal
properties,
exhibited
profiles
at
cerebellum
4-5,
central
executive
network-related
left
inferior
frontal
gyrus,
limbic
regions-related
right
posterior
cingulate
hippocampus,
bilateral
pallidum,
thalamus
0.05).
Meanwhile,
sensorimotor
-related
paracentral
lobule,
default-mode
superior
visual
lingual
auditory
temporal
gyrus
amygdala,
3,
10,
vermis
1-2,
6
Furthermore,
serum
markers
behavior
scores
group
correlated
with
altered
(
≤
0.046,
uncorrected).
Conclusion
an
extensive
reorganization
MBNs,
probably
due
abnormal
cortico-striatal-thalamo-cerebellum
loops,
cortico-limbic-cerebellum,
dorsal
visual-sensorimotor-striatal,
auditory-cerebellum
circuitry.
This
study
highlights
crucial
role
connectivity
underlying
GHD,
which
might
result
their
relatively
slower
development
motor,
cognitive,
linguistic
functional
within
problem
performance.
Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 ),
Journal Year:
2024,
Volume and Issue:
7(1), P. 233 - 239
Published: Sept. 10, 2024
Background:
Cortical
thickness
has
been
associated
with
cognitive
abilities
in
prior
research,
but
the
specific
relationships
remain
unclear.
Objectives:
This
study
aimed
to
further
examine
associations
between
cortical
various
brain
regions
and
performance
on
tests
of
intelligence
executive
function.
Methods:
Structural
MRI
scans
were
obtained
from
65
healthy
adults
aged
18-35.
was
estimated
across
cortex
using
Free
Surfer
software.
Participants
completed
standard
measuring
IQ,
working
memory,
flexibility,
inhibitory
control.
Correlation
regression
analyses
used
relate
regional
scores.
Results:
showed
prefrontal
positively
correlated
flexibility.
No
significant
found
response
inhibition.
Conclusions:
The
findings
provide
evidence
for
links
PFC
higher
abilities.
A
multi-modal
neuroimaging
approach
combining
structural
testing
is
useful
elucidating
brain-behavior
relationships.
Further
research
larger
samples
needed
fully
characterize
these
associations.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 5, 2024
Abstract
Developmental
connectomic
studies
have
shown
that
the
modular
organization
of
functional
networks
in
human
brain
undergoes
substantial
reorganization
with
age
to
support
cognitive
growth.
However,
these
implicitly
assume
each
region
belongs
one
and
only
specific
network
module,
ignoring
potential
spatial
overlap
between
modules.
How
overlapping
architecture
develops
whether
this
development
is
related
structural
signatures
remain
unknown.
Using
longitudinal
multimodal
structural,
functional,
diffusion
MRI
data
from
305
children
(aged
6–14
years),
we
investigated
networks,
further
explored
their
associations.
Specifically,
an
edge-centric
model
was
used
identify
modules,
nodal
module
affiliations
quantified
using
entropy
measure.
We
showed
a
remarkable
regional
inhomogeneity
children,
higher
ventral
attention,
somatomotor,
subcortical
lower
visual
default-mode
networks.
Furthermore,
modules
developed
linear,
spatially
dissociable
manner
childhood
adolescence,
significantly
reduced
prefrontal
cortex
putamen
increased
parietal
lobules.
Personalized
patterns
capture
individual
maturity
as
characterized
by
age.
Finally,
can
be
predicted
integrating
gray
matter
morphology
white
properties.
Our
findings
highlight
maturation
substrates,
thereby
advancing
our
understanding
principles
connectome
development.
