Age and Ageing,
Journal Year:
2024,
Volume and Issue:
53(10)
Published: Oct. 1, 2024
Abstract
Background
Whether
changes
in
socioeconomic
position
(SEP)
across
generations,
i.e.
intergenerational
social
mobility,
influence
brain
degeneration
and
cognition
later
life
is
unclear.
Objective
To
examine
the
association
of
grey
matter
structure
global
cognition.
Methods
We
analysed
T1
MRI
data
771
old
adults
(69.8
±
5.2
years)
from
Whitehall
II
substudy,
with
collected
between
2012
2016.
Social
mobility
was
defined
by
SEP
their
fathers’
generation
to
mid-life
status.
Brain
structural
outcomes
include
(GM)
volume
cortical
thickness
(CT)
covering
whole
brain.
Global
measured
Mini
Mental
State
Examination.
firstly
conducted
analysis
covariance
identify
regional
difference
GM
stable
high/low
upward/downward
groups,
followed
diagonal
reference
models
studying
relationship
cognitive
outcomes,
apart
origin
destination.
additionally
linear
mixed
check
interaction
over
time,
where
derived
three
phases
2002
2017.
Results
related
48
out
136
regions
4
68
CT
regions.
Declined
particularly
seen
response
downward
whereas
no
independent
observed.
Conclusion
Despite
strong
evidence
supporting
direct
on
life,
imaging
findings
warranted
a
severe
level
neurodegeneration
due
father’s
generation.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Individual
differences
in
human
brain
aging
are
difficult
to
estimate
over
short
intervals
because
of
measurement
error.
Using
a
cluster
scanning
approach
that
reduces
error
by
densely
repeating
rapid
structural
scans,
we
measured
individuals
one
year.
Expected
between
young
and
older
were
evident,
as
cognitively
unimpaired
impaired
individuals.
Each
person's
change
trajectory
was
compared
modeled
expectations
from
large
cohort
age-matched
UK
Biobank
participants.
Cognitively
variably
revealed
relative
maintenance,
unexpectedly
change,
asymmetrical
change.
These
atypical
trajectories
found
across
structures
verified
independent
within-individual
test
retest
data.
Precision
estimates
possible
reveal
marked
variability
including
among
Nature Human Behaviour,
Journal Year:
2023,
Volume and Issue:
7(11), P. 2008 - 2022
Published: Oct. 5, 2023
Abstract
Short
sleep
is
held
to
cause
poorer
brain
health,
but
short
associated
with
higher
rates
of
structural
decline?
Analysing
8,153
longitudinal
MRIs
from
3,893
healthy
adults,
we
found
no
evidence
for
an
association
between
duration
and
atrophy.
In
contrast,
cross-sectional
analyses
(51,295
observations)
showed
inverse
U-shaped
relationships,
where
a
6.5
(95%
confidence
interval,
(5.7,
7.3))
hours
was
the
thickest
cortex
largest
volumes
relative
intracranial
volume.
This
fits
converging
research
on
mortality,
health
cognition
that
points
roughly
seven
being
good
health.
Genome-wide
suggested
genes
longer
below-average
sleepers
were
linked
shorter
above-average
sleepers.
Mendelian
randomization
did
not
yield
causal
impacts
structure.
The
combined
results
challenge
notion
habitual
causes
atrophy,
suggesting
normal
brains
promote
adequate
duration—which
than
current
recommendations.
Brain Sciences,
Journal Year:
2024,
Volume and Issue:
14(4), P. 351 - 351
Published: April 1, 2024
Cognitive
aging
is
a
complex
and
dynamic
process
characterized
by
changes
due
to
genetics
environmental
factors,
including
lifestyle
choices
exposure,
which
contribute
the
heterogeneity
observed
in
cognitive
outcomes.
This
particularly
pronounced
among
older
adults,
with
some
individuals
maintaining
stable
function
while
others
experience
complex,
non-linear
changes,
making
it
difficult
identify
meaningful
decline
accurately.
Current
research
methods
range
from
population-level
modeling
individual-specific
assessments.
In
this
work,
we
review
these
methodologies
propose
that
population
subtyping
should
be
considered
as
viable
alternative.
approach
relies
on
early
detection
can
lead
an
improved
understanding
of
individual
trajectories.
The
trajectories
through
identification
determination
timely,
effective
interventions.
aid
informing
policy
decisions
developing
targeted
interventions
promote
health,
ultimately
contributing
more
personalized
within
society
reducing
burden
healthcare
systems.
Journal of Neuroscience,
Journal Year:
2023,
Volume and Issue:
43(28), P. 5241 - 5250
Published: June 26, 2023
Many
sleep
less
than
recommended
without
experiencing
daytime
sleepiness.
According
to
prevailing
views,
short
increases
risk
of
lower
brain
health
and
cognitive
function.
Chronic
mild
deprivation
could
cause
undetected
debt,
negatively
affecting
function
health.
However,
it
is
possible
that
some
have
need
are
more
resistant
negative
effects
loss.
We
investigated
this
using
a
cross-sectional
longitudinal
sample
47,029
participants
both
sexes
(20-89
years)
from
the
Lifebrain
consortium,
Human
Connectome
project
(HCP)
UK
Biobank
(UKB),
with
measures
self-reported
sleep,
including
51,295
MRIs
tests.
A
total
740
who
reported
<6
h
did
not
experience
sleepiness
or
problems/disturbances
interfering
falling
staying
asleep.
These
sleepers
showed
significantly
larger
regional
volumes
problems
(
A
key
question
in
human
neuroscience
is
to
understand
how
individual
differences
brain
function
are
related
cognitive
differences.
However,
the
optimal
condition
of
study
between-person
cognition
remains
unclear.
Additionally,
there
a
lack
objective
biomarkers
accurately
predict
function,
with
age
emerging
as
potential
candidate.
Recent
research
suggests
that
offers
minimal
additional
information
on
decline
beyond
what
chronological
provides,
prompting
shift
toward
approaches
focused
directly
prediction.
Using
novel
deep
learning
approach,
we
evaluated
predictive
power
functional
connectome
during
various
states
(resting
state,
movie-watching,
and
n-back)
episodic
memory
working
performance.
Our
findings
show
while
task-based
connectomes,
especially
movie
watching,
better
memory,
resting
state
connectomes
equally
effective
predicting
memory.
Furthermore,
individuals
negative
brain-cognition
gap
(where
predictions
underestimate
actual
performance)
exhibited
lower
physical
activity,
education,
higher
cardiovascular
risk
compared
those
positive
gap.
This
shows
knowledge
provides
insights
into
factors
contributing
resilience.
Further
PET-derived
measures
dopamine
binding
were
linked
greater
gap,
mediated
by
regional
variability.
Together,
our
introduces
brain-cognitive
new
marker,
modulated
system,
identify
at
compromised
function.
A
key
question
in
human
neuroscience
is
to
understand
how
individual
differences
brain
function
are
related
cognitive
differences.
However,
the
optimal
condition
of
study
between-person
cognition
remains
unclear.
Additionally,
there
a
lack
objective
biomarkers
accurately
predict
function,
with
age
emerging
as
potential
candidate.
Recent
research
suggests
that
offers
minimal
additional
information
on
decline
beyond
what
chronological
provides,
prompting
shift
toward
approaches
focused
directly
prediction.
Using
novel
deep
learning
approach,
we
evaluated
predictive
power
functional
connectome
during
various
states
(resting
state,
movie-watching,
and
n-back)
episodic
memory
working
performance.
Our
findings
show
while
task-based
connectomes,
especially
movie
watching,
better
memory,
resting
state
connectomes
equally
effective
predicting
memory.
Furthermore,
individuals
negative
brain-cognition
gap
(where
predictions
underestimate
actual
performance)
exhibited
lower
physical
activity,
education,
higher
cardiovascular
risk
compared
those
positive
gap.
This
shows
knowledge
provides
insights
into
factors
contributing
resilience.
Further
PET-derived
measures
dopamine
binding
were
linked
greater
gap,
mediated
by
regional
variability.
Together,
our
introduces
brain-cognitive
new
marker,
modulated
system,
identify
at
compromised
function.
Frontiers in Aging Neuroscience,
Journal Year:
2025,
Volume and Issue:
17
Published: March 4, 2025
Introduction
Neurophysiological
activity,
as
noninvasively
captured
by
electro-
and
magnetoencephalography
(EEG
MEG),
demonstrates
complex
temporal
fluctuations
approximated
typical
variations
around
the
mean
values
rare
events
with
large
amplitude.
The
statistical
properties
of
these
extreme
in
neurodynamics
may
reflect
limits
or
capacity
brain
a
system
information
processing.
However,
exact
role
neurodynamic
ageing,
their
spectral
spatial
patterns
remain
elusive.
Our
study
hypothesized
that
ageing
would
be
associated
frequency
specific
alterations
brain’s
tendency
to
synchronize
ensembles
neurons
produce
events.
Methods
To
identify
spatio-spectral
age-related
changes
neurodynamics,
we
examined
resting-state
MEG
recordings
from
cohort
adults
(
n
=
645),
aged
18
89.
We
characterized
computing
sample
skewness
kurtosis,
used
Partial
Least
Squares
test
for
differences
across
age
groups.
Results
findings
revealed
each
canonical
frequency,
theta
lower
gamma,
displayed
unique
either
increases,
decreases,
both
neuromagnetic
Discussion
introduces
novel
neuroimaging
framework
understanding
through
neurophysiological
offering
more
sensitivity
than
comparative
approaches.
Aging Brain,
Journal Year:
2023,
Volume and Issue:
3, P. 100070 - 100070
Published: Jan. 1, 2023
Age-related
changes
in
cortical
volumes
are
well
established
but
relatively
few
studies
probed
its
constituents,
surface
area
(SA)
and
thickness
(TH).
Here
we
analyzed
10-year,
3-waves
longitudinal
data
from
a
large
sample
of
healthy
individuals
(baseline
age
=
55-80).
The
findings
showed
marked
age-related
SA
frontal,
temporal,
parietal
association
cortices,
Bivariate
Latent
Change
Score
models
revealed
significant
SA-associations
with
speed
processing
both
the
5-
10-year
models.
corresponding
results
for
TH
late
onset
thinning
associations
reduced
cognition
model
only.
Taken
together,
our
suggest
that
shrinks
impacts
information-processing
capacity
gradually
aging,
whereas
only
manifests
fluid
advanced
aging.
