bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 17, 2024
Childhood
and
adolescence
are
associated
with
protracted
developmental
remodeling
of
cortico-cortical
structural
connectivity.
However,
how
heterochronous
development
in
white
matter
connectivity
spatially
temporally
unfolds
across
the
macroscale
human
connectome
remains
unknown.
Leveraging
non-invasive
diffusion
MRI
data
from
both
cross-sectional
(N
=
590)
longitudinal
(baseline:
N
3,949;
two-year
follow-up:
3,155)
datasets,
we
found
that
diverges
along
a
pre-defined
sensorimotor-association
(S-A)
connectional
axis
ages
8.1
to
21.9
years.
Specifically,
observed
continuum
profiles
spans
an
early
childhood
increase
strength
sensorimotor-sensorimotor
connections
late
adolescent
association-association
strength.
The
S-A
also
captured
spatial
variations
associations
between
higher-order
cognition
general
psychopathology.
Together,
our
findings
reveal
hierarchical
connectome.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: April 25, 2024
Abstract
Human
cortical
maturation
has
been
posited
to
be
organized
along
the
sensorimotor-association
axis,
a
hierarchical
axis
of
brain
organization
that
spans
from
unimodal
sensorimotor
cortices
transmodal
association
cortices.
Here,
we
investigate
hypothesis
development
functional
connectivity
during
childhood
through
adolescence
conforms
hierarchy
defined
by
axis.
We
tested
this
pre-registered
in
four
large-scale,
independent
datasets
(total
n
=
3355;
ages
5–23
years):
Philadelphia
Neurodevelopmental
Cohort
(
1207),
Nathan
Kline
Institute-Rockland
Sample
397),
Connectome
Project:
Development
625),
and
Healthy
Brain
Network
1126).
Across
datasets,
systematically
varied
Connectivity
regions
increased,
whereas
declined,
refining
reinforcing
hierarchy.
These
consistent
generalizable
results
establish
encodes
dominant
pattern
development.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 13, 2023
The
lifespan
growth
of
the
functional
connectome
remains
unknown.
Here,
we
assemble
task-free
and
structural
magnetic
resonance
imaging
data
from
33,250
individuals
aged
32
postmenstrual
weeks
to
80
years
132
global
sites.
We
report
critical
inflection
points
in
nonlinear
curves
mean
variance
connectome,
peaking
late
fourth
third
decades
life,
respectively.
After
constructing
a
fine-grained,
lifespan-wide
suite
system-level
brain
atlases,
show
distinct
maturation
timelines
for
segregation
within
different
systems.
Lifespan
regional
connectivity
is
organized
along
primary-to-association
cortical
axis.
These
connectome-based
normative
models
reveal
substantial
individual
heterogeneities
networks
patients
with
autism
spectrum
disorder,
major
depressive
Alzheimer's
disease.
findings
elucidate
evolution
can
serve
as
reference
quantifying
variation
development,
aging,
neuropsychiatric
disorders.
Nature Neuroscience,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 16, 2024
Abstract
The
brainstem
is
a
fundamental
component
of
the
central
nervous
system,
yet
it
typically
excluded
from
in
vivo
human
brain
mapping
efforts,
precluding
complete
understanding
how
influences
cortical
function.
In
this
study,
we
used
high-resolution
7-Tesla
functional
magnetic
resonance
imaging
to
derive
connectome
encompassing
cortex
and
58
nuclei
spanning
midbrain,
pons
medulla.
We
identified
compact
set
integrative
hubs
with
widespread
connectivity
cerebral
cortex.
Patterns
between
manifest
as
neurophysiological
oscillatory
rhythms,
patterns
cognitive
specialization
unimodal–transmodal
hierarchy.
This
persistent
alignment
topographies
shaped
by
spatial
arrangement
multiple
neurotransmitter
receptors
transporters.
replicated
all
findings
using
3-Tesla
data
same
participants.
Collectively,
work
demonstrates
that
organizational
features
activity
can
be
traced
back
brainstem.
PLoS Biology,
Journal Year:
2024,
Volume and Issue:
22(6), P. e3002647 - e3002647
Published: June 20, 2024
The
human
brain
is
organized
as
segregation
and
integration
units
follows
complex
developmental
trajectories
throughout
life.
cortical
manifold
provides
a
new
means
of
studying
the
brain’s
organization
in
multidimensional
connectivity
gradient
space.
However,
how
morphometric
changes
across
lifespan
remains
unclear.
Here,
leveraging
structural
magnetic
resonance
imaging
scans
from
1,790
healthy
individuals
aged
8
to
89
years,
we
investigated
age-related
global,
within-
between-network
dispersions
reveal
networks
3D
manifolds
based
on
similarity
network
(MSN),
combining
multiple
features
conceptualized
“fingerprint”
an
individual’s
brain.
Developmental
global
dispersion
unfolded
along
patterns
molecular
organization,
such
acetylcholine
receptor.
Communities
were
increasingly
dispersed
with
age,
reflecting
more
disassortative
profiles
within
community.
Increasing
within-network
primary
motor
association
cortices
mediated
influence
age
cognitive
flexibility
executive
functions.
We
also
found
that
secondary
sensory
decreasingly
rest
during
aging,
possibly
indicating
shift
extreme
central
position
manifolds.
Together,
our
results
MSN
perspective
space,
providing
insights
into
brain,
well
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
Children,
Journal Year:
2025,
Volume and Issue:
12(2), P. 207 - 207
Published: Feb. 10, 2025
Background/Methods:
The
influence
of
sex
on
brain
organization
was
investigated
in
functional
reading
networks
8-year-old
children,
those
typically
developing
and
with
developmental
dyslexia
(DD),
utilizing
the
minimum
spanning
tree
model.
Results:
word
task
revealed
subtle
differences
connectivity
highlighted
even
small
individual
variations
characteristics,
particularly
among
boys
DD.
In
girls,
significantly
stronger
connections
core
hubs
were
identified
within
between
motor,
parietal,
visual
posterior
regions
both
hemispheres,
θ
(dyslexics)
δ
(normolexics)
frequency
bands.
contrast,
showed
a
more
diffuse
pattern,
predominantly
left
hemisphere,
encompassing
anterior
heteromodal
sensorimotor
networks.
Girls
exhibited
greater
network
complexity
(bigger
leaf
fraction,
kappa,
hierarchy),
bands,
while
DD
increased
efficiency,
except
for
γ2
band
(smaller
diameter
bigger
fraction).
Therefore,
gender-specific
may
affect
development
dyslexia.
While
development,
its
impact
frontoparietal
children
is
relatively
limited.
Significant
observed
only
subset
primarily
higher
(β2-γ2)
Conclusions:
Interindividual
evident
DD,
impacting
association
Different
rates
cortical
maturation
sexes
during
childhood
contribute
to
associated
disruptions
fundamental
like
network.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Major
mental
disorders
are
increasingly
understood
as
of
brain
development.
Large
and
heterogeneous
samples
required
to
define
generalizable
links
between
development
psychopathology.
To
this
end,
we
introduce
the
Reproducible
Brain
Charts
(RBC),
an
open
data
resource
that
integrates
from
5
large
studies
in
youth
three
continents
(
N
=6,346;
45%
Female).
Confirmatory
bifactor
models
were
used
create
harmonized
psychiatric
phenotypes
capture
major
dimensions
Following
rigorous
quality
assurance,
neuroimaging
carefully
curated
processed
using
consistent
pipelines
a
reproducible
manner
with
DataLad,
Configurable
Pipeline
for
Analysis
Connectomes
(C-PAC),
FreeSurfer.
Initial
analyses
RBC
emphasize
benefit
careful
assurance
harmonization
delineating
developmental
effects
associations
Critically,
all
-
including
phenotypes,
unprocessed
images,
fully
imaging
derivatives
openly
shared
without
use
agreement
via
International
Neuroimaging
Data-sharing
Initiative.
Together,
facilitates
large-scale,
reproducible,
research
neuroscience.