The Clinical Neuropsychologist,
Год журнала:
2025,
Номер
unknown, С. 1 - 19
Опубликована: Май 2, 2025
Objective:
Objective
cognitive
impairment
has
been
shown
in
a
minority
of
hospitalized
COVID-19
patients,
and
longitudinal
studies
with
relatively
long
follow-up
duration
are
scarce.
We
sought
to
investigate
the
presence
long-term
change
objective
functioning.
Method:
Forty-six
initially
(18
±
19
days)
survivors
(male/female:
30/16;
age:
61
11)
underwent
extensive
neuropsychological
assessment
(including
performance
validity)
approximately
1
(T1)
2.5
years
(T2)
post-infection.
Cognitive
domains
assessed
were:
memory,
attention,
executive
functioning,
processing
speed,
language
(n
=
14
(sub)tests).
used
normative
data
derive
age,
sex,
education-adjusted
T-scores
(T
≤
35
[≤-1.5SD],
deficit
cut-off).
Repeated
measures
AN(C)OVAs
were
functioning
over
time.
Results:
Mean
tests)
was
within
normal
range
at
both
timepoints,
number
individuals
deficits
ranged
from
0-20%
(T1),
2-22%
(T2).
Number
subjective
complaints
remained
unchanged.
A
(17%)
showed
on
≥2
tests
post-infection,
but
not
consistently
one
domain.
Longitudinal
analyses
total
sample
improvement
time
phonemic
fluency
(p<.001),
stable
all
other
tests,
independent
prior
comorbidities,
complaints,
depressive
symptoms,
ICU
admission.
Conclusions:
There
no
consistent
or
major
disorders
after
SARS-CoV-2
infection
majority
cases.
Neuropsychological
essentially
unchanged
Future
larger
necessary
unravel
COVID-19-related
phenotypes
persisting
how
these
can
be
modulated.
Molecular Neurodegeneration,
Год журнала:
2020,
Номер
15(1)
Опубликована: Сен. 22, 2020
Subjective
cognitive
decline
(SCD)
is
regarded
as
the
first
clinical
manifestation
in
Alzheimer's
disease
(AD)
continuum.
Investigating
populations
with
SCD
important
for
understanding
early
pathological
mechanisms
of
AD
and
identifying
SCD-related
biomarkers,
which
are
critical
detection
AD.
With
advent
advanced
neuroimaging
techniques,
such
positron
emission
tomography
(PET)
magnetic
resonance
imaging
(MRI),
accumulating
evidence
has
revealed
structural
functional
brain
alterations
related
to
symptoms
SCD.
In
this
review,
we
summarize
main
features
key
findings
regarding
AD,
from
local
regional
data
connectivity-based
measures,
aim
delineating
a
multimodal
signature
due
Additionally,
interaction
other
risk
factors
dementia
age
Apolipoprotein
E
(ApoE)
ɛ4
status,
also
been
described.
Finally,
possible
explanations
inconsistent
heterogeneous
observed
individuals
discussed,
along
future
directions.
Overall,
literature
reveals
preferential
vulnerability
regions
context
supporting
notion
that
share
similar
pattern
patients
mild
impairment
(MCI)
We
conclude
these
particularly
have
great
potential
underlying
associated
More
longitudinal
studies
larger
sample
sizes
combined
more
modeling
approaches
artificial
intelligence
still
warranted
establish
their
utility.
The American Journal of Drug and Alcohol Abuse,
Год журнала:
2019,
Номер
45(6), С. 563 - 579
Опубликована: Июль 31, 2019
Background:
Cannabis
is
the
most
widely
used
illicit
substance
worldwide,
and
legalization
for
recreational
medical
purposes
has
substantially
increased
its
availability
use
in
United
States.Objectives:
Decades
of
research
have
suggested
that
cannabis
confers
risk
cognitive
impairment
across
various
domains,
structural
functional
differences
brain
been
linked
to
early
heavy
use.Methods:
With
substantial
evidence
role
endocannabinoid
system
neural
development
understanding
continues
into
adulthood,
rising
adolescents
young
adults
raises
major
concerns.
Yet
some
formulations
cannabinoid
compounds
are
FDA-approved
uses,
including
applications
children.Results:
Potential
effects
on
trajectory
morphology
cognition,
therefore,
should
be
considered.
The
goal
this
review
update
consolidate
relevant
findings
order
inform
attitudes
public
policy
regarding
compounds.Conclusions:
point
considerations
age
limits
guidelines
use.
To
determine
the
nature
and
extent
of
minor
neuropsychological
deficits
in
patients
with
subjective
cognitive
decline
(SCD)
their
association
CSF
biomarkers
Alzheimer
disease
(AD).
Method
We
analyzed
data
from
n
=
449
cognitively
normal
participants
(n
209
healthy
controls,
240
SCD)
an
interim
release
German
Center
for
Neurodegenerative
Diseases
Longitudinal
Cognitive
Impairment
Dementia
Study
(DELCODE).
An
extensive
test
battery
was
applied
at
baseline
which
we
established
a
latent,
5
domain
factor
structure
comprising
learning
memory,
executive
functions,
language
abilities,
working
visuospatial
functions.
compared
groups
terms
global
domain-specific
performance
correlated
different
markers
AD
pathology.
Results
observed
worse
(Cohen
d
≈0.25–0.5,
adjusted
age,
sex
differences
analysis
covariance)
performance,
abilities
SCD
group
to
controls.
In
addition,
these
domains
moderately
(r
≈0.3)
associated
lower
β-amyloid42/40
β-amyloid42/phosphorylated
tau181
whole
sample
specifically
subgroup.
Conclusions
Within
spectrum
clinically
unimpaired
(i.e.,
before
mild
impairment)
is
function,
abilities.
The
subtle
speaks
validity
potential
use
early
detection
underlying
preclinical
AD.
International Journal of Cognitive Computing in Engineering,
Год журнала:
2021,
Номер
3, С. 1 - 8
Опубликована: Дек. 15, 2021
Alzheimer's
disease
(AD)
is
the
most
common
chronic
in
elderly,
with
a
high
incidence
rate.
In
recent
years,
deep
learning
has
become
popular
field
of
medical
image
and
achieved
great
success.
It
preferred
method
analyzing
images,
it
also
attracted
degree
attention
AD
detection.
Compared
general
machine
technology,
model
more
accurate
efficient
for
This
paper
introduces
ad
related
biomarkers
feature
extraction
methods,
reviews
application
methods
detection,
analyzes
summarizes
detection
models.
The
results
show
that
technology
shows
good
performance
Ageing Research Reviews,
Год журнала:
2022,
Номер
79, С. 101651 - 101651
Опубликована: Май 25, 2022
Sensitive
and
specific
antemortem
biomarkers
of
neurodegenerative
disease
dementia
are
crucial
to
the
pursuit
effective
treatments,
required
both
reliably
identify
track
its
progression.
Atrophy
is
structural
magnetic
resonance
imaging
(MRI)
hallmark
neurodegeneration.
However
in
most
cases
it
likely
indicates
a
relatively
advanced
stage
less
susceptible
treatment
as
some
processes
begin
decades
prior
clinical
onset.
Among
emerging
metrics
that
characterise
brain
shape
rather
than
volume,
fractal
dimension
(FD)
quantifies
complexity.
FD
has
been
applied
diverse
fields
science
measure
subtle
changes
elaborate
structures.
We
review
application
thus
far
MRI
dementia.
identified
studies
involving
subjects
who
met
criteria
for
mild
cognitive
impairment,
Alzheimer's
Disease,
Vascular
Dementia,
Lewy
Body
Frontotemporal
Amyotrophic
Lateral
Sclerosis,
Parkinson's
Huntington's
Multiple
Systems
Atrophy,
Spinocerebellar
Ataxia
Sclerosis.
The
early
literature
suggests
usually
associated
with
decline
brain.
includes
examples
disease-related
change
occurring
independently
atrophy,
which
if
substantiated
would
represent
valuable
advantage
over
other
metrics.
However,
be
non-specific
exhibit
complex
spatial
temporal
patterns.
A
more
harmonious
methodological
approach
across
larger
number
well
careful
attention
technical
factors
image
processing
measurement
will
help
better
elucidate
metric's
utility.
Biomedicines,
Год журнала:
2023,
Номер
11(2), С. 355 - 355
Опубликована: Янв. 26, 2023
Early
cognitive
decline
in
patients
with
Alzheimer's
(AD)
is
associated
quantifiable
structural
and
functional
connectivity
changes
the
brain.
AD
dysregulation
of
Aβ
tau
metabolism
progressively
disrupt
normal
synaptic
function,
leading
to
loss
synapses,
decreased
hippocampal
density
early
atrophy.
Advances
brain
imaging
techniques
living
have
enabled
transition
from
clinical
signs
symptoms-based
diagnosis
biomarkers-based
diagnosis,
techniques,
quantitative
EEG,
body
fluids
sampling.
The
hippocampus
has
a
central
role
semantic
episodic
memory
processing.
This
function
critically
dependent
on
intrahippocampal
connections
many
cortical
regions,
including
perirhinal
entorhinal
cortex,
parahippocampal
association
regions
temporal
parietal
lobes,
prefrontal
cortex.
Therefore,
reflected
altered
intrinsic
networks
(aka
large-scale
networks),
memory,
default
mode,
salience
networks.
narrative
review
discusses
recent
critical
issues
related
detecting
AD-associated
markers
high-risk
or
neuropsychologically
diagnosed
subjective
impairment
mild
impairment.
Frontiers in Aging Neuroscience,
Год журнала:
2019,
Номер
11
Опубликована: Ноя. 13, 2019
Background:
The
early
progression
continuum
of
Alzheimer's
disease
(AD)
has
been
considered
to
advance
through
subjective
cognitive
decline
(SCD),
non-amnestic
mild
impairment
(naMCI),
and
amnestic
(aMCI).
Altered
functional
connectivity
(FC)
in
the
default
mode
network
(DMN)
is
regarded
as
a
hallmark
AD.
Furthermore,
DMN
can
be
divided
into
two
subnetworks,
anterior
posterior
subnetworks.
However,
little
known
about
distinct
disruptive
patterns
subsystems
across
preclinical
AD
spectrum.
This
study
investigated
(aDMN)
(pDMN)
Methods:
Resting-state
magnetic
resonance
imaging
(rs-fMRI)
was
used
investigate
FC
subnetworks
20
healthy
controls
(HC),
eight
SCD,
11
naMCI,
28
aMCI
patients.
Moreover,
correlation
analysis
examine
associations
between
altered
neurocognitive
performance.
Results:
Compared
HC,
SCD
patients
showed
increased
bilateral
superior
frontal
gyrus
(SFG),
naMCI
left
inferior
parietal
lobule
(IPL),
IPL
aDMN;
while
decreased
precuneus,
middle
temporal
(MTG),
also
right
(MFG)
pDMN.
Notably,
ventromedial
prefrontal
cortex
(vmPFC)
MFG
aDMN
associated
with
episodic
memory
groups.
Interestingly,
cingulated
(PCC)
several
regions
pDMN
other
functions
Conclusions:
demonstrates
that
three
stages
exhibit
alternations
patient
group
data
involves
function.
These
findings
provide
novel
insights
for
tailored
clinical
intervention
Alzheimer s Research & Therapy,
Год журнала:
2020,
Номер
12(1)
Опубликована: Март 9, 2020
Subjective
cognitive
decline
is
a
putative
precursor
to
dementia
marked
by
perceived
worsening
of
function
without
overt
performance
issues
on
neuropsychological
assessment.
Although
healthy
older
adults
with
subjective
may
normally,
indicate
incipient
and
predict
future
deterioration.
Therefore,
the
experience
represents
possible
entry
point
for
clinical
intervention.
However,
intervention
requires
physical
manifestation
neuroabnormality
both
corroborate
target
clinically.
While
some
individuals
harbor
pathophysiology
specific
neurodegenerative
disorders,
many
do
not
display
clear
indicators.
Thus,
disorder-agnostic
brain
measures
could
be
useful
track
trajectory
decline,
functional
neuroimaging
in
particular
sensitive
detect
have
ability
disease-related
change
when
underlying
disease
etiology
remains
unclear.
this
review,
we
discuss
studies
reconciliations
inconsistent
findings.
We
conclude
proposing
model
where
noisy
signal
propagation
inefficient
processing
across
whole-brain
networks
lead
research
directions
guided
model.
Journal of Alzheimer s Disease,
Год журнала:
2019,
Номер
69(4), С. 1137 - 1151
Опубликована: Май 20, 2019
Repetitive
transcranial
magnetic
stimulation
(rTMS)
is
thought
to
be
effective
in
alleviating
cognitive
symptoms
patients
with
amnestic
mild
impairment
(aMCI),
but
the
mechanisms
related
network
modification
are
poorly
understood.
Here
we
tested
rTMS
efficacy
and
explored
effect
of
rTMS-induced
changes
default
mode
(DMN)
their
predictive
value
for
treatment
response.
Twenty-one
subjects
clinically
diagnosed
aMCI
were
recruited
complete
a
10-session
randomized
sham-controlled
targeting
right
dorsolateral
prefrontal
cortex.
Resting-state
functional
resonance
imaging
tandem
neuropsychological
assessments
administered
before
after
intervention.
Changes
connectivity
DMN
relevant
brain
regions,
as
well
correlations
between
baseline
clinical
rating
scales
calculated
order
elucidate
mechanism
response
therapy.
Compared
sham
group,
group
achieved
improvement
performance
significant
within
DMN.
Group×Time
interactions
found
posterior
cingulate
gyrus
fusiform
(F
(1,19)
=
17.154,
p
0.001),
also
left
anterior
3.908,
0.063),
showing
an
deactivation
Baseline
analysis
seeds
revealed
negative
correlation
AVLT-Recognition
score
changes.
hypoconnectivity
associated
improvements
aMCI.
Further,
pre-rTMS
activity
at
rest
may
predictor
favorable