Investigating neuropathological correlates of hyperactive and psychotic symptoms in dementia: a systematic review
Frontiers in Dementia,
Journal Year:
2025,
Volume and Issue:
4
Published: Jan. 29, 2025
Introduction
Behavioral
and
Psychological
Symptoms
of
Dementia
(BPSD)
are
common
neuropsychiatric
manifestations
that
complicate
the
clinical
course
dementia
impact
caregiving.
Among
these,
Hyperactivity–Impulsivity–Irritiability–Disinhibition–Aggression–Agitation
(HIDA)
Psychosis
(P)
domains
particularly
challenging
to
manage.
Despite
their
prevalence,
underlying
mechanisms
neuropathological
correlates,
remain
poorly
understood.
This
systematic
review
aims
elucidate
basis
HIDA
psychosis
domains,
exploring
whether
distinct
proteinopathies
neural
circuit
dysfunctions
associated
with
these
symptoms.
Methods
The
follows
PRISMA
guidelines,
a
search
conducted
across
MEDLINE,
CENTRAL,
EMBASE
databases.
Inclusion
criteria
involved
studies
neuropathology
in
individuals
dementia.
Records
were
screened
using
PICO
software,
data
quality
was
assessed
Newcastle-Ottawa
Scale
(NOS)
CARE
guidelines.
A
narrative
synthesis
due
heterogeneity
data.
Results
From
846
records
identified,
37
met
inclusion
criteria.
Of
18,823
cases
analyzed,
most
diagnoses
Alzheimer's
Disease
(83.44%),
Lewy
Bodies
(5.37%),
Frontotemporal
(13.40%).
HIDA-P
symptoms
distributed
all
diagnoses,
agitation
(14.00%),
delusions
(11.60%),
disinhibition
(7.61%),
hallucinations
(6.83%)
being
frequently
reported
behaviors.
primary
diagnosis
Neuropathologic
Change
(ADNC),
present
predominantly
intermediate
severe
forms.
analysis
revealed
co-occurrence
multiple
proteinopathies,
TAUopathy,
TDP-43
pathology,
Lewy-related
pathology
(LRP),
latter,
association
ADNC,
15
studies.
Discussion
linked
overlapping
involvement
different
circuits,
amygdala
broader
limbic
system.
Evidence
suggests
TAUopathy
key
brain
regions,
such
as
amygdala,
central
development
In
contrast,
contribution
beta-amyloid
vascular
damage
appears
marginal
genesis
psychotic
No
behavioral
symptom
is
pathognomonic
specific
proteinopathy;
rather,
topography
severity
lesions
plays
more
decisive
role
than
single
molecular
composition.
Systematic
registration
INPLASY2024100082.
Language: Английский
Neuroanatomical correlates and predictors of psychotic symptoms in Alzheimer’s disease: a systematic review and meta-analysis
Sara Scarfo,
No information about this author
Antonella M A Marsella,
No information about this author
Loulouda Grigoriadou
No information about this author
et al.
Neuropsychologia,
Journal Year:
2024,
Volume and Issue:
204, P. 109006 - 109006
Published: Sept. 24, 2024
Language: Английский
A comparative meta-analysis of structural magnetic resonance imaging studies and gene expression profiles revealing the similarities and differences between late life depression and mild cognitive impairment
Ling Zhao,
No information about this author
Lijing Niu,
No information about this author
Haowei Dai
No information about this author
et al.
Psychological Medicine,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 10
Published: Nov. 25, 2024
Abstract
Background
Late-life
depression
(LLD)
predisposes
individuals
to
cognitive
decline,
often
leading
misdiagnoses
as
mild
impairment
(MCI).
Voxel-based
morphometry
(VBM)
can
distinguish
the
profiles
of
these
disorders
according
gray
matter
(GM)
volumes.
We
integrated
findings
from
previous
VBM
studies
for
comparative
analysis
and
extended
research
into
molecular
facilitate
inspection
intervention.
Methods
comprehensively
searched
PubMed
Web
Science
that
compared
LLD
MCI
cases
with
matched
healthy
controls
(HCs)
inception
31st
December
2023.
included
13
on
(414
LLDs,
350
HCs)
50
(1878
MCIs,
2046
HCs).
Seed-based
d
Mapping
Permutation
Subject
Images
(SDM-PSI)
was
used
voxel-based
meta-analysis
assess
GM
atrophy,
spatially
correlated
neuropsychological
profiles.
then
multimodal
linear-model
similarities
differences
in
volumetric
changing
patterns.
Partial
least
squares
(PLS)
regression
gene
enrichment
were
employed
transcription-neuroimaging
associations.
Results
volumes
left
hippocampus
right
parahippocampal
gyrus
are
more
affected
MCI,
along
memory
impairment.
a
extensive
reduction
levels
neurotransmitters
severe
downregulation
genes
related
cellular
potassium
ion
transport
metal
transmembrane
transporter
activity.
Conclusion
Compared
LLD,
exhibited
atrophy
lower
expression
transport.
Our
provided
imaging-transcriptomic-genetic
integrative
differential
diagnosis
precise
intervention
between
MCI.
Language: Английский
Limbic Network Derangement Mediates Unawareness of Apathy in Mild Cognitive Impairment due to Alzheimer’s Disease: Clues from [18F]FDG PET Voxel-Wise Analysis
Wendy Kreshpa,
No information about this author
Stefano Raffa,
No information about this author
Nicola Girtler
No information about this author
et al.
Journal of Alzheimer s Disease,
Journal Year:
2024,
Volume and Issue:
101(2), P. 475 - 485
Published: Sept. 3, 2024
Background:
Discrepancy
between
caregiver
and
patient
assessments
of
apathy
in
mild
cognitive
impairment
(MCI)
is
considered
an
index
unawareness,
independently
predicting
progression
to
AD
dementia.
However,
its
neural
underpinning
are
uninvestigated.
Objective:
To
explore
the
[18F]FDG
PET-based
metabolic
correlates
unawareness
measured
through
discrepancy
self-report,
patients
diagnosed
with
MCI.
Methods:
We
retrospectively
studied
28
intermediate
or
high
likelihood
MCI-AD,
progressed
dementia
over
average
two
years,
whose
degree
was
evaluated
by
means
Apathy
Evaluation
Scale
(AES)
for
both
(PT-AES)
caregivers
(CG-AES).
Voxel-based
analysis
at
baseline
used
obtain
distinct
volumes
interest
(VOIs)
correlated
PT-AES,
CG-AES,
their
absolute
difference
(DISCR-AES).
The
resulting
DISCR-AES
VOI
count
densities
were
as
covariates
inter-regional
correlation
(IRCA)
MCI-AD
a
group
matched
healthy
controls
(HC).
Results:
negatively
metabolism
bilateral
parahippocampal
gyrus,
posterior
cingulate
cortex,
thalamus,
PT-AES
score
frontal
anterior
areas,
while
there
no
significant
CG-AES
brain
metabolism.
IRCA
revealed
that
exhibited
reduced
metabolic/functional
correlations
right
gyrus
projections
compared
HC.
Conclusions:
entails
early
disruption
limbic
circuitry
rather
than
classical
frontal-subcortical
pathways
typically
associated
apathy.
This
reaffirms
independent
measure
marked
pathophysiological
alterations.
Language: Английский
Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI
Jocasta Manasseh-Lewis,
No information about this author
Felipe Godoy,
No information about this author
Wei Peng
No information about this author
et al.
Lecture notes in computer science,
Journal Year:
2024,
Volume and Issue:
unknown, P. 185 - 195
Published: Oct. 17, 2024
Language: Английский
Disruptive and complementary effects of depression symptoms on spontaneous brain activity in the subcortical vascular mild cognitive impairment
Frontiers in Aging Neuroscience,
Journal Year:
2024,
Volume and Issue:
16
Published: Sept. 17, 2024
Background
Although
depression
symptoms
are
commonly
reported
in
patients
with
subcortical
vascular
mild
cognitive
impairment
(svMCI),
their
impact
on
brain
functions
remains
largely
unknown,
diagnoses
mainly
dependent
behavioral
assessments.
Methods
In
this
study,
we
analyzed
resting-state
fMRI
data
from
a
cohort
of
34
svMCI
patients,
comprising
18
(svMCI+D)
and
16
without
(svMCI-D),
along
normal
controls
(NC).
The
study
used
the
fraction
amplitude
low-frequency
fluctuations
(fALFF),
functional
connectivity,
correlation
analyses,
support
vector
machine
(SVM)
techniques.
Results
fALFF
right
cerebellum
(CERE.R)
differed
among
svMCI+D,
svMCI-D,
NC
groups.
Specifically,
regional
mean
CERE.
R
was
lower
svMCI-D
compared
to
but
higher
svMCI+D
patients.
Moreover,
adjusted
showed
significant
Montreal
Cognitive
Assessment
(MOCA)
scores
orbital
part
superior
frontal
gyrus
significantly
correlated
Hamilton
Depression
Scale
whereas
postcingulate
cortex
(PCC.R)
MOCA
Furthermore,
RSFC
between
PCC.
precuneus,
as
well
lingual
(LING.R),
reduced
NC.
PreCUN.
R,
LING.
decreased
increased
svMCI-D.
Further
SVM
analyses
achieved
good
performances,
an
area
under
curve
(AUC)
0.82
for
classifying
NC;
0.96
svMCI-D;
0.92
Conclusion
revealed
disruptive
effects
impairment,
both
complementary
spontaneous
activity
svMCI.
these
findings
suggest
that
identified
features
might
serve
potential
biomarkers
distinguishing
NC,
thereby
guiding
clinical
treatments
such
transcranial
magnetic
stimulation
Language: Английский