Neuropsychologia,
Journal Year:
2023,
Volume and Issue:
188, P. 108636 - 108636
Published: July 16, 2023
The
ability
to
make
accurate
predictions
about
what
is
going
happen
in
the
near
future
critical
for
comprehension
of
everyday
activity.
However,
predictive
processing
may
be
disrupted
Posttraumatic
Stress
Disorder
(PTSD).
Hypervigilance
lead
people
with
PTSD
inaccurate
likelihood
danger.
This
disruption
occur
not
only
response
threatening
stimuli,
but
also
during
neutral
stimuli.
Therefore,
current
study
investigated
whether
was
associated
difficulty
making
near-future
Sixty-three
participants
and
63
trauma
controls
completed
two
tasks,
one
testing
explicit
prediction
other
implicit
prediction.
Higher
severity
greater
on
both
these
tasks.
These
results
suggest
that
effective
treatments
improve
functional
outcomes
work,
part,
by
improving
processing.
Trends in Cognitive Sciences,
Journal Year:
2023,
Volume and Issue:
27(12), P. 1135 - 1149
Published: Oct. 12, 2023
Although
each
of
us
was
once
a
baby,
infant
consciousness
remains
mysterious
and
there
is
no
received
view
about
when,
in
what
form,
first
emerges.
Some
theorists
defend
'late-onset'
view,
suggesting
that
requires
cognitive
capacities
which
are
unlikely
to
be
place
before
the
child's
birthday
at
very
earliest.
Other
an
'early-onset'
account,
likely
birth
(or
shortly
after)
may
even
arise
during
third
trimester.
Progress
this
field
has
been
difficult,
not
just
because
challenges
associated
with
procuring
relevant
behavioral
neural
data,
but
also
uncertainty
how
best
study
absence
capacity
for
verbal
report
or
intentional
behavior.
This
review
examines
both
empirical
methodological
progress
field,
arguing
recent
research
points
favor
early-onset
accounts
emergence
consciousness.
Proceedings of the National Academy of Sciences,
Journal Year:
2022,
Volume and Issue:
119(43)
Published: Oct. 17, 2022
How
infants
experience
the
world
is
fundamental
to
understanding
their
cognition
and
development.
A
key
principle
of
adult
that,
despite
receiving
continuous
sensory
input,
we
perceive
this
input
as
discrete
events.
Here
investigate
such
event
segmentation
in
how
it
differs
from
adults.
Research
on
often
uses
simplified
tasks
which
(adult)
experimenters
help
solve
problem
for
by
defining
boundaries
or
presenting
actions/vignettes.
This
presupposes
events
are
experienced
leaves
open
questions
about
principles
governing
infant
segmentation.
We
take
a
different,
data-driven
approach
studying
input.
collected
whole-brain
functional
MRI
(fMRI)
data
awake
(and
adults,
comparison)
watching
cartoon
used
hidden
Markov
model
identify
states
brain.
quantified
existence,
timescale,
organization
multiple-event
representations
across
brain
regions.
The
exhibited
known
hierarchical
gradient
timescales,
shorter
early
visual
regions
longer
later
associative
In
contrast,
represented
only
events,
even
regions,
with
no
timescale
hierarchy.
these
partially
overlapped
defined
activity
behavioral
judgments.
These
findings
suggest
that
organized
differently
infants,
timescales
more
stable
neural
patterns,
may
indicate
greater
temporal
integration
reduced
precision
during
dynamic,
naturalistic
perception.
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: Feb. 3, 2025
Intrinsic
timescales
of
brain
regions
exhibit
heterogeneity,
escalating
with
hierarchical
levels,
and
are
crucial
for
the
temporal
integration
external
stimuli.
Aging,
often
associated
cognitive
decline,
involves
progressive
neuronal
synaptic
loss,
reshaping
structure
dynamics.
However,
impact
these
structural
changes
on
coding
in
aging
remains
unclear.
We
mapped
intrinsic
gray
matter
volume
(GMV)
using
magnetic
resonance
imaging
(MRI)
young
elderly
adults.
found
shorter
across
multiple
large-scale
functional
networks
cohort,
a
significant
positive
association
between
GMV.
Additionally,
age-related
decline
performance
visual
discrimination
tasks
was
linked
to
reduction
cuneus.
To
explain
shifts,
we
developed
an
age-dependent
spiking
neuron
network
model.
In
younger
subjects,
were
near
critical
branching
regime,
while
subjects
had
fewer
neurons
synapses,
pushing
dynamics
toward
subcritical
regime.
The
model
accurately
reproduced
empirical
results,
showing
longer
adults
due
slowing
down.
Our
findings
reveal
how
may
drive
alterations
dynamics,
offering
testable
predictions
informing
possible
interventions
targeting
decline.
MRI
data
computational
modeling
shifts
shedding
light
its
effects
processes,
potential
mechanisms
underlying
neurological
vulnerabilities.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Functional
magnetic
resonance
imaging
(fMRI)
in
awake
infants
has
the
potential
to
reveal
how
early
developing
brain
gives
rise
cognition
and
behavior.
However,
infant
fMRI
poses
significant
methodological
challenges
that
have
hampered
wider
adoption.
The
present
work
takes
stock
after
collection
of
a
substantial
amount
data
across
multiple
studies
from
two
labs
at
different
institutions.
We
leveraged
these
glean
insights
on
participant
recruitment,
experimental
design,
acquisition
could
be
useful
consider
for
future
studies.
Across
766
sessions,
we
explored
factors
influenced
much
usable
were
obtained
per
session
(average
9
minutes).
age
an
predicted
whether
they
would
successfully
enter
scanner
(younger
was
more
likely)
and,
if
did
enter,
number
minutes
functional
retained
preprocessing.
also
by
assigned
sex
(female
more),
paradigm
(movies
better
than
blocks
events),
stimulus
content
(social
abstract).
In
addition,
assessed
value
attempting
collect
experiments
session,
approach
yielded
one
experiment
averaging
all
sessions
(including
those
with
no
data).
Although
any
given
scan
is
unpredictable,
findings
support
feasibility
suggest
practices
optimize
research.
How
does
the
representation
of
naturalistic
life
events
change
with
age?
Here,
we
analyzed
fMRI
data
from
414
children
and
adolescents
(5-19
years)
as
they
watched
a
narrative
movie.
In
addition
to
changes
in
degree
inter-subject
correlation
(ISC)
age
sensory
medial
parietal
regions,
used
novel
measure
(between-group
ISC)
reveal
age-related
shifts
responses
across
majority
neocortex.
Over
course
development,
brain
became
more
discretized
into
stable
coherent
shifted
earlier
time
anticipate
upcoming
perceived
event
transitions,
measured
behaviorally
an
age-matched
sample.
However,
hippocampal
boundaries
actually
decreased
age,
suggesting
shifting
division
labor
between
episodic
encoding
processes
schematic
representations
ages
5
19.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
275, P. 120155 - 120155
Published: May 9, 2023
In
human
adults
and
other
mammals,
different
brain
regions
have
distinct
intrinsic
timescales
over
which
they
integrate
information,
from
shorter
in
unimodal
sensory-motor
to
longer
transmodal
higher-order
regions.
These
been
related
cognitive
performance
clinical
symptoms,
but
it
remains
unclear
how
develop.
We
asked
if
there
are
regional
differences
at
birth
that
could
shape
learning
by
acting
as
an
inductive
bias,
or
develop
later
the
temporal
statistics
of
environment
learned.
used
resting-state
fMRI
characterise
neonates
adults.
They
were
highly
consistent
across
two
independent
neonatal
groups,
both
higher
order
areas,
infants
compared
adults,
might
be
expected
their
less
developed
myelination,
recent
evidence
neural
segments
watching
naturalistic
stimuli.
we
replicated
finding
areas
than
opposite
pattern
was
found,
driven
long
infant
somotomotor
network.
Across
within
single
networks,
positive
(limbic)
negative
(visual)
correlations
found
between
conclusion,
structured,
suggesting
act
bias
favours
on
timescales,
particularly
then
with
experience
maturation.
This
"take
slow"
initial
approach
help
create
more
regularised,
holistic
representations
input
bound
fleeting
details,
would
favour
development
abstract
contextual
representations.
Trends in Cognitive Sciences,
Journal Year:
2024,
Volume and Issue:
28(8), P. 726 - 738
Published: June 5, 2024
Humans
have
a
protracted
postnatal
helplessness
period,
typically
attributed
to
human-specific
maternal
constraints
causing
an
early
birth
when
the
brain
is
highly
immature.
By
aligning
neurodevelopmental
events
across
species,
however,
it
has
been
found
that
humans
are
not
born
with
especially
immature
brains
compared
animal
species
shorter
helpless
period.
Consistent
this,
rapidly
growing
field
of
infant
neuroimaging
connectivity
and
functional
activation
at
share
many
similarities
mature
brain.
Inspired
by
machine
learning,
where
deep
neural
networks
also
benefit
from
'helpless
period'
pre-training,
we
propose
human
infants
learning
foundation
model:
set
fundamental
representations
underpin
later
cognition
high
performance
rapid
generalisation.