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.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 26, 2024
Abstract
Cortical
thinning
is
an
important
hallmark
of
the
maturation
brain
morphology
during
childhood
and
adolescence.
However,
connectome-based
wiring
mechanism
that
underlies
cortical
remains
unclear.
Here,
we
show
patterns
primarily
located
in
lateral
frontal
parietal
heteromodal
nodes
adolescence,
which
are
structurally
constrained
by
white
matter
network
architecture
particularly
represented
using
a
network-based
diffusion
model.
Furthermore,
constraints
regionally
heterogeneous,
with
largest
residing
frontoparietal
nodes,
associated
gene
expression
signatures
microstructural
neurodevelopmental
events.
These
results
highly
reproducible
another
independent
dataset.
findings
advance
our
understanding
network-level
mechanisms
genetic
basis
maturational
process
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Sept. 12, 2024
Human
brain
morphology
undergoes
complex
changes
over
the
lifespan.
Despite
recent
progress
in
tracking
development
via
normative
models,
current
knowledge
of
underlying
biological
mechanisms
is
highly
limited.
We
demonstrate
that
human
cortical
thickness
and
aging
trajectories
unfold
along
patterns
molecular
cellular
organization,
traceable
from
population-level
to
individual
developmental
trajectories.
During
childhood
adolescence,
cortex-wide
spatial
distributions
dopaminergic
receptors,
inhibitory
neurons,
glial
cell
populations,
brain-metabolic
features
explain
up
50%
variance
associated
with
a
lifespan
model
regional
In
contrast,
modeled
change
during
adulthood
are
best
explained
by
cholinergic
glutamatergic
neurotransmitter
receptor
transporter
distributions.
These
relationships
supported
gene
expression
translate
longitudinal
data
8000
adolescents,
explaining
59%
at
cohort-
18%
single-subject
level.
Integrating
neurobiological
atlases
modeling
population
neuroimaging
provides
biologically
meaningful
path
understand
living
humans.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 5, 2023
Human
brain
morphology
undergoes
complex
changes
over
the
lifespan.
Despite
recent
progress
in
tracking
development
via
normative
models,
current
knowledge
of
underlying
biological
mechanisms
is
highly
limited.
We
demonstrate
that
human
cortical
thickness
and
aging
trajectories
unfold
along
patterns
molecular
cellular
organization,
traceable
from
population-level
to
individual
developmental
trajectories.
During
childhood
adolescence,
cortex-wide
spatial
distributions
dopaminergic
receptors,
inhibitory
neurons,
glial
cell
populations,
brain-metabolic
features
explain
up
50%
variance
associated
with
a
lifespan
model
regional
In
contrast,
modeled
change
during
adulthood
are
best
explained
by
cholinergic
glutamatergic
neurotransmitter
receptor
transporter
distributions.
These
relationships
supported
gene
expression
translate
longitudinal
data
8,000
adolescents,
explaining
59%
at
cohort-
18%
single-subject
level.
Integrating
neurobiological
atlases
modeling
population
neuroimaging
provides
biologically
meaningful
path
understand
living
humans.
PLoS Biology,
Journal Year:
2025,
Volume and Issue:
23(4), P. e3002710 - e3002710
Published: April 1, 2025
From
childhood
to
adolescence,
the
structural
organization
of
human
brain
undergoes
dynamic
and
regionally
heterogeneous
changes
across
multiple
scales,
from
synapses
macroscale
white
matter
pathways.
However,
during
this
period,
developmental
process
multiscale
architecture,
its
association
with
cortical
morphological
changes,
role
in
maturation
functional
remain
largely
unknown.
Here,
using
two
independent
multimodal
imaging
datasets
aged
6–14
years,
we
investigated
by
constructing
an
vivo
connectome
model
incorporating
tractography,
cortico–cortical
proximity,
microstructural
similarity.
By
employing
gradient
mapping
method,
principal
derived
effectively
recapitulated
sensory-association
axis.
Our
findings
revealed
a
continuous
expansion
space
development,
characterized
enhanced
differentiation
between
primary
sensory
higher-order
transmodal
regions
along
gradient.
This
age-related
paralleled
morphology.
Furthermore,
coupling
connectivity
were
correlated
specialization
refinement,
as
evidenced
participation
coefficient.
Notably,
was
associated
improved
cognitive
abilities,
such
working
memory
attention
performance,
potentially
underpinned
synaptic
hormone-related
biological
processes.
These
advance
our
understanding
intricate
implications
for
performance.
PLoS Biology,
Journal Year:
2024,
Volume and Issue:
22(9), P. e3002653 - e3002653
Published: Sept. 18, 2024
The
modular
structure
of
functional
connectomes
in
the
human
brain
undergoes
substantial
reorganization
during
development.
However,
previous
studies
have
implicitly
assumed
that
each
region
participates
one
single
module,
ignoring
potential
spatial
overlap
between
modules.
How
overlapping
modules
develop
and
whether
this
development
is
related
to
gray
white
matter
features
remain
unknown.
Using
longitudinal
multimodal
structural,
functional,
diffusion
MRI
data
from
305
children
(aged
6
14
years),
we
investigated
maturation
networks
further
revealed
their
structural
associations.
An
edge-centric
network
model
was
used
identify
modules,
nodal
module
affiliations
quantified
using
entropy
measure.
We
showed
a
regionally
heterogeneous
topography
extent
nodes
children,
with
higher
(i.e.,
more
involvement)
ventral
attention,
somatomotor,
subcortical
regions
lower
less
visual
default-mode
regions.
developed
linear,
spatially
dissociable
manner,
decreased
dorsomedial
prefrontal
cortex,
putamen
increased
parietal
lobules
lateral
cortex.
patterns
captured
individual
maturity
as
characterized
by
chronological
age
were
predicted
integrating
morphology
microstructural
properties.
Our
findings
highlight
substrates,
thereby
advancing
our
understanding
principles
connectome
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 15, 2024
From
childhood
to
adolescence,
the
structural
organization
of
human
brain
undergoes
dynamic
and
regionally
heterogeneous
changes
across
multiple
scales,
from
synaptic
pruning
reorganization
large-scale
anatomical
wiring.
However,
during
this
period,
developmental
process
multiscale
architecture,
its
association
with
cortical
morphological
changes,
role
in
maturation
functional
remain
largely
unknown.
Here,
we
utilized
a
longitudinal
multimodal
imaging
dataset
including
276
children
aged
6
14
years
investigate
We
used
an
vivo
model
wiring
that
combines
features
white
matter
tractography,
cortico-cortical
proximity,
microstructural
similarity
construct
connectome.
By
employing
gradient
mapping
method,
space
derived
connectome
effectively
recapitulated
sensory-association
axis
anterior-posterior
axis.
Our
findings
revealed
continuous
expansion
development,
principal
increasingly
distinguishing
between
primary
transmodal
regions.
This
age-related
differentiation
coincided
morphology.
Furthermore,
our
study
coupling
connectivity
were
correlated
specialization
refinement,
as
evidenced
by
participation
coefficient.
also
found
was
associated
improved
cognitive
abilities,
such
enhanced
working
memory
attention
performance,
potentially
supported
molecular
processes
related
functions.
These
advance
understanding
intricate
implications
for
performance.
Human Brain Mapping,
Journal Year:
2024,
Volume and Issue:
45(9)
Published: June 15, 2024
Abstract
A
fundamental
puzzle
about
brain
development
is
why
the
volume
of
gray
matter
(GM)
apparently
declines
as
white
(WM)
grows
when
children
enter
adolescence.
Since
pruned
synapses
are
too
small
to
affect
GM
volume,
a
prevailing
theory
posits
that
an
expanded
distribution
myelin
causes
inner
edge
“whiten”
while
total
remains
steady,
shifting
MRI‐measured
WM:GM
boundary
closer
brain's
outer
surface.
This
inherently
predicts
loss
concurrent
with
WM
growth
across
regions,
within
sexes
and
over
time,
although
these
predictions
have
yet
be
explicitly
tested.
In
this
study,
we
test
by
mapping
regional
volumetric
changes
in
2333
participants
Adolescent
Brain
Cognitive
Development
study
aged
9–14
years
who
each
received
three
MRI
scans
2
apart.
We
show
average
follow
distinct
spatial,
temporal,
sex‐specific
patterns,
indicating
not
balanced
growth,
cortical
thinning
weakly
correlated
some
regions.
conclude
main
source
measured
loss,
propose
alternative
candidates.
Caderno Pedagógico,
Journal Year:
2024,
Volume and Issue:
21(7), P. e6184 - e6184
Published: July 29, 2024
A
alfabetização
compreende
um
dos
objetivos
mais
apreciados
na
educação
básica.
Espera-se
que,
ao
finalizar
o
segundo
ano
do
ensino
fundamental,
estudante
esteja
alfabetizado.
Esta
etapa
usualmente
abrange
estudantes
terceira
infância,
período
com
alterações
neurobiológicas
que
sequenciam
avanços
cognitivos
fundamentais
para
a
alfabetização.
Todavia,
neurodesenvolvimento
infantil
é
prejudicado
pela
terapia
oncológica.
Desta
forma,
presente
pesquisa
objetivou
estudo
da
defasagem
de
pacientes
oncopediátricos
no
tema
relevante
pelo
caráter
pioneiro,
complementação
literatura
e
fornecimento
panorama
possibilita
desenvolvimento
intervenções
adaptação
acadêmico-social
destes
estudantes.
partir
uma
abordagem
quanti-qualitativa,
realizou-se
levantamento
por
meio
análise
prontuários
e,
posteriormente,
comparou-se
os
dados
grupo
referência
não
oncológico,
pareados
modo
se
isolou
contexto
oncológico
como
variável
interesse.
Adicionalmente,
conduziu-se
bibliográfica
qualitativa
dados.
Os
resultados
indicaram
significativamente
maior
em
comparação
referência,
possivelmente
devido
aos
impactos
oncológica
neurobiológico
cognitivo
infância.
Estes
promovem
sobre
este
tema,
complementam
podem
apoiar
futuras.