Abstract
Optimal
brain
function
is
shaped
by
a
combination
of
global
information
integration,
facilitated
long-range
connections,
and
local
processing,
which
relies
on
short-range
connections
underlying
biological
factors.
With
aging,
anatomical
connectivity
undergoes
significant
deterioration,
affects
the
brain’s
overall
function.
Despite
structural
loss,
previous
research
has
shown
that
normative
patterns
functions
remain
intact
across
lifespan,
defined
as
compensatory
mechanism
aging
brain.
However,
crucial
components
in
guiding
preservation
dynamical
complexity
mechanisms
uncovered.
Moreover,
it
remains
largely
unknown
how
readjusts
its
parameters
to
maintain
optimal
dynamics
with
age;
this
work,
we
provide
parsimonious
using
whole-brain
generative
model
uncover
role
sub-communities
comprised
driving
dynamic
compensation
process
We
utilize
two
neuroimaging
datasets
demonstrate
short-
white
matter
tracts
affect
mechanisms.
unveil
their
modulation
intrinsic
scaling
parameters,
such
coupling
strength
conduction
delay,
via
personalized
large-scale
model.
Our
key
finding
suggests
predominantly
amplify
age,
potentially
representing
an
epiphenomenon
mechanism.
This
mechanistically
explains
significance
compensating
for
major
loss
during
aging.
insight
could
help
identify
alternative
avenues
address
aging-related
diseases
where
are
significantly
deteriorated.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(23)
Опубликована: Май 30, 2024
A
balanced
excitation-inhibition
ratio
(E/I
ratio)
is
critical
for
healthy
brain
function.
Normative
development
of
cortex-wide
E/I
remains
unknown.
Here,
we
noninvasively
estimate
a
putative
marker
whole-cortex
by
fitting
large-scale
biophysically
plausible
circuit
model
to
resting-state
functional
MRI
(fMRI)
data.
We
first
confirm
that
our
generates
realistic
dynamics
in
the
Human
Connectome
Project.
Next,
show
estimated
sensitive
gamma-aminobutyric
acid
(GABA)
agonist
benzodiazepine
alprazolam
during
fMRI.
Alprazolam-induced
changes
are
spatially
consistent
with
positron
emission
tomography
measurement
receptor
density.
then
investigate
relationship
between
and
neurodevelopment.
find
declines
heterogeneously
across
cerebral
cortex
youth,
greatest
reduction
occurring
sensorimotor
systems
relative
association
systems.
Importantly,
among
children
same
chronological
age,
lower
(especially
cortex)
linked
better
cognitive
performance.
This
result
replicated
North
American
(8.2
23.0
y
old)
Asian
(7.2
7.9
cohorts,
suggesting
more
mature
indexes
improved
cognition
normative
development.
Overall,
findings
open
door
studying
how
disrupted
trajectories
may
lead
dysfunction
psychopathology
emerges
youth.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 9, 2025
Abstract
Quantifying
cognitive
potential
relies
on
psychometric
measures
that
do
not
directly
reflect
cortical
activity.
While
the
relationship
between
ability
and
resting
state
EEG
signal
dynamics
has
been
extensively
studied
in
children
with
below-average
performances,
there
remains
a
paucity
of
research
focusing
individuals
normal
to
above-average
functioning.
This
study
aimed
elucidate
aged
four
12
years
across
potential.
Our
findings
indicate
complexity,
as
measured
by
Multiscale
Entropy
(MSE),
was
significantly
predictive
level
However,
utilizing
Directed
Phase
Lag
Index
(DPLI)
an
effective
connectivity
measure,
we
observed
consistent
patterns
information
flow
anterior
posterior
regions.
Fronto-parietal
well
local
were
seen
most
functions.
Moreover,
specific
obtained
for
each
intellectual
quotient
index
(namely
verbal
comprehension,
visuospatial,
fluid
reasoning,
processing
speed
indexes
full-scale
quotient).
These
results
underscore
presence
long-range
connections
support
fronto-parietal
theories
abilities
within
brain
children.
Trends in Neurosciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
How
do
you
know
have
heard
right?
Metacognition,
the
ability
to
assess
and
monitor
one's
own
cognitive
state,
is
key
understanding
human
communication
in
complex
environments.
However,
foundational
role
of
metacognition
hearing
only
beginning
be
explored,
neuroscience
behind
it
an
emerging
field:
how
does
confidence
express
neural
dynamics
listening
brain?
What
known
about
auditory
metaperceptual
alterations
as
a
hallmark
phenomenon
psychosis,
dementia,
or
loss?
Building
on
Bayesian
ideas
perception
neuroscience,
'meta-listening'
offers
framework
for
more
comprehensive
research
into
humans
non-humans
shapes
brain.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 30, 2025
The
human
prefrontal
cortex
(PFC)
exhibits
markedly
protracted
developmental
plasticity,
yet
whether
reductions
in
plasticity
occur
synchronously
across
cortical
layers
is
unclear.
Animal
studies
have
shown
that
intracortical
myelin
consolidates
neural
circuits
to
close
periods
of
plasticity.
Here,
we
use
quantitative
imaging
collected
from
youth
(ages
10-32
years)
at
ultra-high
field
(7T)
investigate
deep
and
superficial
PFC
exhibit
different
timeframes
We
find
matures
along
a
deep-to-superficial
axis
the
PFC;
this
maturational
timing
expressed
extent
cytoarchitecturally
distinct
regions
frontal
hierarchy.
By
integrating
mapping
with
electroencephalogram
cognitive
phenotyping,
provide
evidence
dissociably
impact
timescales
activity,
task
learning
rates,
processing
speed.
Heterochronous
maturation
an
underrecognized
mechanism
through
which
association
balances
cognitively-relevant
increases
circuit
stability
efficiency
extended
neuroplasticity.
Developmental Cognitive Neuroscience,
Год журнала:
2025,
Номер
73, С. 101543 - 101543
Опубликована: Март 6, 2025
Adolescence
is
a
period
of
growth
in
cognitive
performance
and
functioning.
Recently,
data-driven
measures
brain-age
gap,
which
can
index
decline
older
populations,
have
been
utilized
adolescent
data
with
mixed
findings.
Instead
using
approach,
here
we
assess
the
maturation
status
brain
functional
landscape
early
adolescence
by
directly
comparing
an
individual's
resting-state
connectivity
(rsFC)
to
canonical
early-life
adulthood
communities.
Specifically,
hypothesized
that
degree
youth's
connectome
better
captured
adult
networks
compared
infant/toddler
predictive
their
development.
To
test
this
hypothesis
across
individuals
longitudinally,
Adolescent
Brain
Cognitive
Development
(ABCD)
Study
at
baseline
(9-10
years;
n
=
6469)
2-year-follow-up
(Y2:
11-12
5060).
Adjusted
for
demographic
factors,
our
anchored
rsFC
score
(AFC)
was
associated
task
both
within
participants.
AFC
related
age
aging
youth,
change
statistically
mediated
age-related
performance.
In
conclusion,
showed
model-fitting-free
rest
baby
landscapes
predicts
development
youth.
Developmental Neurobiology,
Год журнала:
2025,
Номер
85(3)
Опубликована: Май 8, 2025
ABSTRACT
The
retinotectal
projection,
the
direct
synapse
between
retinal
ganglion
cells
(RGCs)
of
eye
and
tectal
neurons
optic
tectum,
is
a
major
component
amphibian
visual
system.
A
model
circuit
formation,
this
projection
has
been
studied
in
detail.
There
are,
however,
other
retinorecipient
targets
that
also
comprise
system
such
as
pretectum
ventral
midbrain
tegmentum.
Understanding
how
these
components
form
function
will
lead
to
more
comprehensive
understanding
system,
whole,
assembles
functions.
Toward
aim,
here
we
describe
functional
development
Xenopus
tadpole
accessory
(AOS),
synaptic
connection
RGC
axons
basal
nucleus
AOS
highly
conserved
across
vertebrates.
It
functions
sensory
side
optokinetic
optomotor
reflexes,
compensatory
body
movements,
respectively,
stabilize
scene
organism
moves
through
it.
Using
an
isolated
brain
preparation
whole‐cell
electrophysiological
approaches,
compared
projection.
We
found
two
retinofugal
projections
display
distinct
developmental
programs,
which
appear
mirror
their
different
Retinotectal
synapses
moved
dynamic
phase
previously
described
NMDA
receptor‐dependent
refinement,
process
known
sharpen
retinotopic
map
thereby
acuity.
In
contrast,
appeared
stable
activity
independent
development,
indicative
hardwired
circuit,
built
support
reflexive
behaviors.
Abstract
Network
neuroscience
has
proven
essential
for
understanding
the
principles
and
mechanisms
underlying
complex
brain
(dys)function
cognition.
In
this
context,
whole-brain
network
modeling–also
known
as
virtual
modeling–combines
computational
models
of
dynamics
(placed
at
each
node)
with
individual
imaging
data
(to
coordinate
connect
nodes),
advancing
our
its
neurobiological
underpinnings.
However,
there
remains
a
critical
need
automated
model
inversion
tools
to
estimate
control
(bifurcation)
parameters
large
scales
across
neuroimaging
modalities,
given
their
varying
spatio-temporal
resolutions.
This
study
aims
address
gap
by
introducing
flexible
integrative
toolkit
efficient
Bayesian
inference
on
models,
called
Virtual
Brain
Inference
(<monospace>VBI</monospace>).
open-source
provides
fast
simulations,
taxonomy
feature
extraction,
storage
loading,
probabilistic
machine
learning
algorithms,
enabling
biophysically
interpretable
from
non-invasive
invasive
recordings.
Through
in-silico
testing,
we
demonstrate
accuracy
reliability
commonly
used
associated
data.
<monospace>VBI</monospace>
shows
potential
improve
hypothesis
evaluation
in
through
uncertainty
quantification,
contribute
advances
precision
medicine
enhancing
predictive
power
models.