Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study
NeuroImage,
Год журнала:
2024,
Номер
297, С. 120669 - 120669
Опубликована: Июнь 7, 2024
The
relationship
between
brain
entropy
(BEN)
and
early
development
has
been
established
through
animal
studies.
However,
it
remains
unclear
whether
the
BEN
can
be
used
to
identify
age-dependent
functional
changes
in
human
neonatal
brains
genetic
underpinning
of
new
neuroimaging
marker
elucidated.
In
this
study,
we
analyzed
resting-state
fMRI
data
from
Developing
Human
Connectome
Project,
including
280
infants
who
were
scanned
at
37.5-43.5
weeks
postmenstrual
age.
maps
calculated
for
each
subject,
a
voxel-wise
analysis
was
conducted
using
general
linear
model
examine
effects
age,
sex,
preterm
birth
on
BEN.
Additionally,
evaluated
correlation
regional
gene
expression
levels.
Our
results
demonstrated
that
sensorimotor-auditory
association
cortices,
along
'S-A'
axis,
significantly
positively
correlated
with
postnatal
age
(PNA),
negatively
gestational
(GA),
respectively.
Meanwhile,
right
rolandic
operculum
both
GA
PNA.
Preterm-born
exhibited
increased
values
widespread
cortical
areas,
particularly
visual-motor
cortex,
when
compared
term-born
infants.
Moreover,
identified
five
BEN-related
genes
(DNAJC12,
FIG4,
STX12,
CETN2,
IRF2BP2),
which
involved
protein
folding,
synaptic
vesicle
transportation
cell
division.
These
findings
suggest
fMRI-based
serve
as
an
indicator
neonates,
may
influenced
by
specific
genes.
Язык: Английский
7 Tesla multimodal MRI dataset of ex-vivo human brain
Scientific Data,
Год журнала:
2025,
Номер
12(1)
Опубликована: Май 22, 2025
Ex-vivo
MRI
offers
invaluable
insights
into
the
complexity
of
human
brain,
enabling
high-resolution
anatomical
delineation
and
integration
with
histopathology,
thus,
contributes
to
both
basic
clinical
studies
on
normal
pathological
brains.
However,
ex-vivo
is
challenging
in
sample
preparation,
acquisition,
data
analysis,
existing
datasets
are
often
single
image
modality
lack
ethnic
diversity.
In
our
study,
we
aimed
address
these
limitations
by
constructing
a
comprehensive
multimodal
database
acquired
from
six
Chinese
This
included
structural
MRI,
high-angular
resolution
diffusion
quantitative
susceptibility
mapping,
T1
T2
maps,
which
enabled
multifaceted
depiction
brain
microstructure
connectivity.
Furthermore,
generated
population-averaged
templates
segmentation
labels
facilitate
analysis
MRI.
public
collection
multi-parametric
filled
gap
lacking
Asian
samples
databases.
Язык: Английский