Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Dec. 30, 2024
Impaired
muscle
mitochondrial
oxidative
capacity
is
associated
with
future
cognitive
impairment,
and
higher
levels
of
PET
blood
biomarkers
Alzheimer's
disease
neurodegeneration.
Here,
we
examine
its
associations
up
to
over
a
decade-long
changes
in
brain
atrophy
microstructure.
Higher
vivo
skeletal
via
MR
spectroscopy
(post-exercise
recovery
rate,
k
Frontiers in Aging Neuroscience,
Journal Year:
2024,
Volume and Issue:
16
Published: July 11, 2024
Successful
cognitive
aging
is
often
thought
to
result
from
resistance
the
accumulation
of
pathology,
resilience
effects
pathological
accumulation,
or
some
combination
two.
While
evidence
for
has
been
found
in
typical
populations,
oldest-old
provide
us
with
a
unique
window
into
role
impacting
cognition.
Here,
we
aimed
assess
group
differences
measures
amyloid
and
tau
across
older
age
groups
using
data
Alzheimer's
Disease
Neuroimaging
Initiative
(ADNI
age:
60–89)
The
90
+
Study
(age:
90–101).
Additionally,
ADNI
dataset,
performed
exploratory
analyses
regional
cingulate
AV-45
SUVRs
if
load
particular
areas
was
associated
Top
Cognitive
Performance
(TCP).
Consistent
literature,
results
showed
no
both
regionally
whole
cortex.
For
AV-1451,
also
observed
Braak
composite
SUVRs.
Interestingly,
these
relationships
persisted
oldest-old.
This
indicates
that
throughout
does
not
reflect
burden,
but
other
mechanisms
may
be
protection
against
related
neurodegeneration.
Journal of Neuroscience,
Journal Year:
2024,
Volume and Issue:
unknown, P. e0367242024 - e0367242024
Published: Aug. 9, 2024
Making
choices
about
whether
and
when
to
engage
cognitive
effort
are
a
common
feature
of
everyday
experience,
with
important
consequences
for
academic,
career,
health
outcomes.
Yet,
despite
their
hypothesized
importance,
very
little
is
understood
the
underlying
mechanisms
that
support
this
form
human
cost-benefit
decision-making.
To
investigate
these
mechanisms,
we
used
Cognitive
Effort
Discounting
Paradigm
(Cog-ED)
during
fMRI
scanning
precisely
quantify
neural
encoding
varying
demands
relative
reward
outcomes,
within
two
distinct
domains
(working
memory,
speech
comprehension).
The
findings
provide
strong
evidence
dorsal
anterior
cingulate
cortex
(dACC)
plays
central
selective
role
in
decision-making
process.
Trial-by-trial
modulations
dACC
activation
tracked
subjective
value
low-effort,
low-reward
option,
strongest
activity
occurring
was
greater
than
high-effort,
high-reward
option.
In
contrast,
not
modulated
by
decision
difficulty,
though
such
effects
were
found
other
frontoparietal
regions.
Critically,
also
strongly
correlated
across
task
further
predicted
subsequent
choice
behavior
both.
Together,
results
suggest
modulation
reflects
domain-general
valuation
comparison
mechanism,
which
acts
bias
participants
away
from
decisions
effort,
perceived
costs
engagement
outweigh
reward-related
benefits.
These
complement
work
cost
species
pointing
clear
representing
differences
between
options
The International Journal of Aging and Human Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 10, 2024
Intergenerational
communication
and
aging
is
a
thriving
interdisciplinary,
methodologically
diverse
field
having
significant
implications
for
understanding
the
process.
This
opening
article
to
special
issue
provides
brief
overview
of
this
research
domain,
with
particular
attention
theoretical
practices
within
it.
Communication
accommodation
theory
(CAT)
introduced
given
it
has
provided
foundation
other
well-cited
models
aging.
In
so
doing,
couple
CAT
principles
are
elaborated,
based
on
recent
work
age
meta-stereotyping
intergroup
felt
understanding.
also
component
influential
"communication
ecology
model
successful
aging"
and,
after
exploring
some
its
tenets,
visually
schematic
representation
elaborated
as
well
connections
speculated
regarding
relationship
communicative
lives
SuperAgers.
Thereafter,
highlights
emerging
from
articles
in
that
follow
drawn
out.
Human Brain Mapping,
Journal Year:
2024,
Volume and Issue:
45(16)
Published: Nov. 1, 2024
ABSTRACT
There
are
well‐established
relationships
between
aging
and
neurodegenerative
changes,
hearing
loss.
The
goal
of
this
study
was
to
determine
how
structural
brain
is
influenced
by
Human
Connectome
Project
Aging
data
were
analyzed,
including
T1‐weighted
Magnetic
Resonance
Imaging
(MRI)
Words
in
noise
(WIN)
thresholds
(
n
=
623).
Freesurfer
extracted
gray
white
matter
volume,
cortical
thickness,
area,
curvature.
Linear
regression
models
targeted
(1)
interactions
age
WIN
threshold
(2)
correlations
with
adjusted
for
age,
both
corrected
false
discovery
rate
(p
FDR
<
0.05).
moderated
age‐related
increase
volume
bilateral
inferior
lateral
ventricles,
a
higher
associated
increased
ventricle
expansion.
Age‐related
differences
the
occipital
cortex
also
thresholds.
When
controlling
high
correlated
reduced
thickness
Heschl's
gyrus,
calcarine
sulcus,
other
sensory
regions,
temporal
lobe
matter.
Older
volunteers
poorer
cognitive
scores
had
lowest
left
parahippocampal
These
results
suggest
that
better
medial
lobe,
while
at
any
greater
tissue
auditory
regions.
Future
longitudinal
studies
needed
assess
causal
nature
these
relationships,
but
indicate
interventions
preserve
or
protect
function
may
combat
some
changes
aging.
Making
choices
about
whether
and
when
to
engage
cognitive
effort
are
a
common
feature
of
everyday
experience,
with
important
consequences
for
academic,
career,
health
outcomes.
Yet,
despite
their
hypothesized
importance,
very
little
is
understood
the
underlying
mechanisms
that
support
this
form
human
cost-benefit
decision-making.
To
investigate
these
mechanisms,
we
used
Cognitive
Effort
Discounting
Paradigm
(Cog-ED)
during
fMRI
scanning
precisely
quantify
neural
encoding
varying
demands
relative
reward
outcomes,
within
two
distinct
domains
(working
memory,
speech
comprehension).
The
findings
provide
strong
evidence
dorsal
anterior
cingulate
cortex
(dACC)
plays
central
selective
role
in
decision-making
process.
Trial-by-trial
modulations
dACC
activation
tracked
subjective
value
low-effort,
low-reward
option,
strongest
activity
occurring
was
greater
than
high-effort,
high-reward
option.
In
contrast,
not
modulated
by
decision
difficulty,
though
such
effects
were
found
other
frontoparietal
regions.
Critically,
also
strongly
correlated
across
task
domains,
further
predicted
subsequent
choice
behavior
both.
Together,
results
suggest
modulation
reflects
domain-general
valuation
comparison
mechanism,
which
acts
bias
participants
away
from
decisions
effort,
perceived
costs
engagement
outweigh
reward-related
benefits.
These
complement
work
cost
species
pointing
clear
representing
differences
between
options
Brain Communications,
Journal Year:
2024,
Volume and Issue:
6(4)
Published: Jan. 1, 2024
Abstract
Understanding
the
relationship
between
functional
connectivity
(FC)
of
higher-order
neurocognitive
networks
and
age-related
cognitive
decline
is
a
complex
evolving
field
research.
Decreases
in
FC
have
been
associated
with
persons
Alzheimer’s
disease
related
dementias
(ADRD).
However,
contributions
less
straightforward
typical
aging.
Some
investigations
suggest
relatively
robust
within
differentiates
unusually
successful
aging
from
average
aging,
while
others
do
not.
Methodologic
limitations
data
processing
varying
definitions
‘successful
aging’
may
contributed
to
inconsistent
results
date.
The
current
study
seeks
address
previous
by
optimized
MRI
methods
examine
well-established
SuperAging
phenotype,
defined
age
performance
as
individuals
80
older
episodic
memory
equal
or
better
than
50-to-60-year-olds.
Within-
between-network
large-scale
were
compared
24
SuperAgers
16
cognitively
older-aged
control
(OACs)
stable
profiles
using
resting-state
(rs-fMRI)
single
visit.
Group
classification
was
determined
based
on
measures
memory,
executive
functioning,
verbal
fluency
picture
naming.
Inclusion
criteria
required
status
across
two
visits.
First,
we
investigated
seven
common
atlas
parcellation.
A
separate
index
network
segregation
also
groups.
Second,
six
subcomponents
default
mode
(DMN),
commonly
disrupted
ADRD.
For
each
analysis,
FCs
groups
two-sample
independent
t-tests
corrected
for
multiple
comparisons.
There
no
significant
between-group
differences
demographic
characteristics
including
age,
sex
education.
At
group-level,
within-network
FC,
measurements
networks,
DMN,
not
primary
differentiator
phenotypes.
Thus,
does
appear
be
driver
exceptional
observed
SuperAgers.
These
relevance
differentiating
role
changes
those
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 4, 2024
Abstract
Alzheimer’s
Disease
(AD)
is
the
7th
leading
cause
of
death
worldwide.
95%
AD
cases
are
late-onset
disease
(LOAD),
which
often
takes
decades
to
evolve
and
become
symptomatic.
Early
prognosis
LOAD
critical
for
timely
intervention
before
irreversible
brain
damage.
This
study
proposes
an
Artificial
Intelligence
(AI)-driven
longitudinal
multi-modal
platform
with
time-series
transformer
(LMP-TX)
early
LOAD.
It
has
two
versions:
LMP-TX
utilizes
full
data
provide
more
accurate
prediction,
while
a
lightweight
version,
LMP-TX-CL,
only
uses
simple
cognitive-linguistic
(CL)
data.
Results
on
accuracy
based
AUC
scores
subjects
progressing
from
normal
control
(NC)
mild
cognitive
impairment
(
e
MCI)
MCI
late
l
respectively
89%
maximum
(predicted
by
LMP-TX)
81%
LMP-TX-CL).
Moreover,
results
top
biomarkers
predicting
different
states
onsets
have
revealed
key
(including
CL-based)
indicative
early-stage
progressions.
Future
work
will
develop
fine-grained
progression
identify
CL-based
predictive
fast
rates
at
stages.