NeuroImage,
Год журнала:
2024,
Номер
unknown, С. 120969 - 120969
Опубликована: Дек. 1, 2024
The
preclinical
stage
of
Alzheimer's
Disease
(AD)
holds
great
potential
for
intervention,
therefore,
it
is
crucial
to
elucidate
the
neural
mechanisms
underlying
progression
subjective
cognitive
decline
(SCD).
Previous
studies
have
predominantly
focused
on
changes
in
cerebrum
associated
with
SCD,
but
relatively
neglected
cerebellum,
and
functional
relationship
between
cerebellum
cerebrum.
In
current
study,
we
employed
dynamic
connectivity
large-scale
brain
network
approaches
investigate
pathological
characteristics
states
cerebro-cerebellar
collaboration
across
different
SCD
(n
=
32)
healthy
elderly
29)
using
resting-state
fMRI.
Two-way
repeated
measures
ANOVA
permutation
t-tests
revealed
significant
group
difference,
individuals
exhibiting
shorter
state
duration
more
frequent
transitions
compared
three
states.
Additionally,
showed
lower
levels
intracerebellar
connectivity,
higher
cerebellar-cerebral
integration
representing
processing.
Furthermore,
hub
nodes
networks
shifted
These
findings
indicate
that
exhibits
greater
instability
can
compensate
negative
effects
early
disease
by
integrating
cerebellar
cerebral
networks,
thereby
maintaining
performance.
This
study
enhances
our
theoretical
understanding
stages
AD
provides
evidence
interventions
targeting
cerebellum.
Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Авг. 23, 2024
Alterations
in
functional
connectivity
(FC)
have
been
observed
individuals
with
Alzheimer's
disease
(AD)
elevated
amyloid
(Aβ)
and
tau.
However,
it
is
not
yet
known
whether
directed
FC
already
influenced
by
Aβ
tau
load
cognitively
healthy
(CH)
individuals.
A
21-channel
electroencephalogram
(EEG)
was
used
from
46
CHs
classified
based
on
cerebrospinal
fluid
(CSF)
ratio:
pathological
(CH-PAT)
or
normal
(CH-NAT).
Directed
estimated
Partial
Coherence
frontal,
temporal,
parietal,
central,
occipital
regions.
We
also
examined
the
correlations
between
various
metrics,
including
neuropsychology,
cognitive
reserve,
MRI
volumetrics,
heart
rate
variability
both
groups.
Compared
to
CH-NATs,
CH-PATs
showed
decreased
temporal
regions,
indicating
a
loss
of
relative
importance
In
addition,
frontal
regions
enhanced
compared
suggesting
neural
compensation
for
damage
caused
pathology.
Moreover,
greater
than
CH-NATs.
Our
findings
provide
useful
non-invasive
method
EEG-based
analysis
identify
alterations
brain
versus
CSF
Aβ/tau.
This
study
reveals
disrupted
as
an
early
biomarker
amyloid/tau,
aiding
detection.
Alzheimer s & Dementia,
Год журнала:
2024,
Номер
20(9), С. 6170 - 6182
Опубликована: Июль 10, 2024
Abstract
BACKGROUND
Previous
studies
have
found
that
Alzheimer's
disease
(AD)‐related
plasma
markers
are
associated
with
amyloid
beta
(Aβ)
deposition,
but
the
change
of
this
association
in
different
Aβ
pathological
stages
remains
unclear.
METHODS
Data
were
obtained
from
SILCODE.
According
to
standardized
uptake
value
ratio
(SUVR)
and
stage
classification,
correlation
analysis
was
performed
among
biomarkers,
voxel/SUVR
values
regions
interest
(ROI)
clinical
scale
information,
respectively.
Mediation
used
study
possible
pathways.
RESULTS
The
proportion
cognitively
normal
(CN)
subjective
cognitive
decline
(SCD)
highest
A0
1,
while
A2
4,
mild
impairment
(MCI)
AD
increased.
Plasma
phosphorylated
tau
(p‐tau)181
glial
fibrillary
acidic
protein
(GFAP)
levels
significantly
lower
compared
later
phases.
Two
pathways
demonstrated
fully
mediated
effects:
positron
emission
tomography
(PET)
SUVR–plasma
p‐tau181–Mini‐Mental
State
Examination
(MMSE)
PET
GFAP–MMSE.
DISCUSSION
This
role
biomarkers
early
AD,
especially
SCD,
both
diagnosis
dimensions.
Highlights
ptau181
GFAP
level
serve
as
indicators
pathologic
staging
classification.
A
ceiling
effect
observed
mid‐to‐late
course.
confirms
promoting
deposition
at
an
stage,
particularly
females
decline(SCD).
overlapping
brain
p‐tau181,
GFAP,
neurofilament
light
for
distributed
across
various
regions,
including
posterior
cingulate
gyrus,
rectus
inferior
temporal
gyrus.
Alzheimer s & Dementia,
Год журнала:
2024,
Номер
20(9), С. 6622 - 6631
Опубликована: Июль 25, 2024
Abstract
Cognitive
complaints
are
common
in
elderly
subjects
and
a
frequent
reason
for
referral
to
memory
clinics.
If
the
not
associated
with
objective
cognitive
impairment,
condition
is
labelled
subjective
decline
(SCD).
SCD
often
considered
as
stage
antedating
an
at‐risk
subsequent
dementia.
Recent
large‐scale
studies
indicate
that
significantly
increased
risk
of
clinical
progression
positivity
Alzheimer's
disease
(AD)
biomarkers,
finding
supporting
notion
can
be
due
different
mechanisms
neurodegeneration,
including
functional
disorders.
In
this
paper
we
present
selective
review
research
on
relations
among
SCD,
awareness,
metacognitive
abilities.
We
propose
longitudinal
efficiency
may
provide
useful
cues
about
dementia
possible
presence
disorder,
implications
management
prevalent
aging‐related
condition.
Highlights
Subjective
(SCD),
cause
clinics,
multiple
conditions.
The
predictive
value
high
association
AD
biomarker
positivity.
awareness
mechanism
responsible
emergence
metacognition
underlying
neuropsychological
function.
patients
usually
assessed
comparing
informant
rating
patient
self‐assessment,
method
affected
by
bias.
While
there
strong
evidence
starts
onset
progressively
leading
anosognosia
AD,
status
needs
further
investigated.
Quantitative,
performance‐based
indexes
contribute
both
assessment
Neurobiology of Disease,
Год журнала:
2024,
Номер
194, С. 106483 - 106483
Опубликована: Март 26, 2024
Olfactory
dysfunction
indicates
a
higher
risk
of
developing
dementia.
However,
the
potential
structural
and
functional
changes
are
still
largely
unknown.
A
total
236
participants
were
enrolled,
including
45
Alzheimer's
disease
(AD)
individuals
191dementia-free
individuals.
Detailed
study
methods,
comprising
neuropsychological
assessment
olfactory
identification
test
(University
Pennsylvania
smell
test,
UPSIT),
as
well
magnetic
resonance
imaging
(MRI)
applied
in
this
research.
The
dementia-free
divided
into
two
sub-groups
based
on
score:
with
(DF-OD)
sub-group
without
(DF-NOD)
sub-group.
results
analyzed
for
subsequent
intergroup
comparisons
correlations.
cognitive
was
conducted
again
three
years
later.
(i)
At
stage,
there
positive
correlation
between
score
function.
(ii)
In
group,
volume
crucial
brain
structures
involved
recognition
processing
(such
amygdala,
entorhinal
cortex
basal
forebrain
volumes)
positively
associated
score.
(iii)
Compared
to
DF-NOD
DF-OD
group
showed
significant
reduction
network
(ON)
(iv)
connectivity
(FC)
decline
PCun_L(R)_4_1
precuneus
posterior
default
mode
(pDMN)
salience
(SN)
FC
values
decreased
falling
scores.
Moreover,
noteworthy
observed
which
component
ON.
(v)
AD
conversion
rate
29.41%,
while
12.50%.
also
more
severe.
addition
circuit,
is
critical
structure
odor
process,
whose
abnormal
function
underlies
impairment
International Psychogeriatrics,
Год журнала:
2025,
Номер
unknown, С. 100067 - 100067
Опубликована: Март 1, 2025
The
aim
of
this
study
was
to
determine
whether
individuals
with
Subjective
Cognitive
Decline
(SCD),
particularly
those
a
neurostructural
marker
risk
for
AD
(SCD+),
exhibit
differences
in
the
functional
connectivity
Default-Mode
Network
(DMN)
relative
controls,
as
network
is
known
be
altered
continuum.
Cross-sectional
study.
Galicia,
Northwest
Spain.
sample
compromised
133
participants:
69
51
SCD
and
13
SCD+.
Seed-to-voxel
analysis
conducted
using
four
DMN
ROIs.
Dynamic
independent
component
also
performed.
SCD+
groups
exhibited
hyperconnectivity,
which
more
extensive
group.
Increased
anti-correlations
between
task-positive
parietal
regions
were
related
poorer
executive
scores
tendency
higher
recurrence
Hippocampal
atrophy
biomarker
associated
hyperconnectivity
increased
regions.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 25, 2023
Abstract
An
expansive
area
of
research
focuses
on
discerning
patterns
alterations
in
functional
brain
networks
from
the
early
stages
Alzheimer’s
disease,
even
at
subjective
cognitive
decline
(SCD)
stage.
Here,
we
developed
a
novel
hyperbolic
MEG
network
embedding
framework
for
transforming
high-dimensional
complex
into
lower-dimensional
representations.
Using
this
model,
computed
embeddings
two
distinct
participant
groups:
individuals
with
SCD
and
healthy
controls.
We
demonstrated
that
these
preserve
both
local
global
geometric
information,
presenting
reduced
distortion
compared
to
rival
models,
when
are
mapped
low-dimensional
spaces.
In
addition,
our
findings
showed
encompass
unique
SCD-related
information
improves
discriminatory
power
above
beyond
connectivity
features
alone.
Notably,
introduced
metric—the
radius
node
embeddings—which
effectively
proxies
hierarchical
organization
brain.
metric,
identified
subtle
hierarchy
organizational
differences
between
groups,
suggesting
increased
dorsal
attention,
frontoparietal,
ventral
attention
subnetworks
among
group.
Last,
assessed
correlation
variations
assessment
scores,
revealing
associations
diminished
performance
across
multiple
evaluations
Overall,
study
presents
first
evaluation
networks,
offering
insights
organization,
decline,
potential
diagnostic
avenues
disease.
Frontiers in Neurology,
Год журнала:
2023,
Номер
14
Опубликована: Ноя. 17, 2023
Alzheimer's
disease
(AD)
and
amnestic
mild
cognitive
impairment
(aMCI)
are
characterized
by
abnormal
functional
connectivity
(FC)
of
default-mode
network
(DMN),
salience
(SN),
central
executive
(CEN).
Static
FC
(sFC)
dynamic
(dFC)
combined
with
triple
model
can
better
study
the
static
changes
brain
networks,
improve
its
potential
diagnostic
value
in
diagnosis
AD
spectrum
disorders.Differences
sFC
values
dFC
variability
patterns
among
three
networks
groups
(53
patients,
40
aMCI
NCs)
were
computed
ANOVA
using
Gaussian
Random
Field
theory
(GRF)
correction.
The
correlation
between
(sFC
variability)
scores
(MMSE
MoCA)
was
analyzed
separately.Within
DMN
network,
there
significant
differences
right/left
medial
superior
frontal
gyrus
left
opercular
part
inferior
right
dorsolateral
groups.
Within
CEN
parietal
gyrus.
SN
Cerebelum_7b
In
addition,
a
negative
SN)
MMSE
MoCA
scores.It
suggests
that
sFC,
be
considered
as
biomarkers
for
aMCI.
Alzheimer s & Dementia,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 19, 2024
Abstract
INTRODUCTION
It
remains
unclear
whether
the
local
amyloid‐beta
(Aβ)
burden
in
key
regions
within
default
mode
network
(DMN)
affects
and
cognitive
functions.
METHODS
Participants
included
1002
individuals
from
Chinese
Preclinical
Alzheimer's
Disease
Study
cohort
who
underwent
18F‐florbetapir
positron
emission
tomography
resting‐state
functional
magnetic
resonance
imaging
scanning
neuropsychological
tests.
The
correlations
between
precuneus
(PRC)
Aβ
burden,
DMN
function,
function
were
investigated.
RESULTS
In
with
high
PRC
there
is
a
bidirectional
relationship
or
connectivity
deposition
across
various
states,
which
also
linked
to
function.
Even
below
threshold,
related
performance.
DISCUSSION
findings
reveal
critical
role
of
disrupting
neural
networks
associated
decline
necessity
early
detection
monitoring
deposition.
Highlights
Precuneus
impacts
different
stages.
High
compensation
subsequent
dysfunction.
Low
correlates
changes
before
significant
accumulation.
Changes
provide
insights
into
AD
progression.
Early
regional
can
help
monitor
risk
decline.