iScience,
Journal Year:
2024,
Volume and Issue:
27(11), P. 111194 - 111194
Published: Oct. 18, 2024
Neurodegenerative
diseases
(NDs)
are
a
group
of
neurological
disorders
characterized
by
the
progressive
dysfunction
neurons
and
glial
cells,
leading
to
their
structural
functional
degradation
in
central
and/or
peripheral
nervous
system.
Historically,
research
on
NDs
has
primarily
focused
brain,
brain
stem,
or
spinal
cord
associated
with
disease-related
symptoms,
often
overlooking
role
cerebellum.
However,
an
increasing
body
clinical
biological
evidence
suggests
significant
connection
between
cerebellum
NDs.
In
several
NDs,
cerebellar
pathology
biochemical
changes
may
start
early
disease
stages.
This
article
provides
comprehensive
update
involvement
features
pathogenesis
multiple
suggesting
that
is
involved
onset
progression
through
various
mechanisms,
including
specific
neurodegeneration,
neuroinflammation,
abnormal
mitochondrial
function,
altered
metabolism.
Additionally,
this
review
highlights
therapeutic
potential
cerebellum-related
treatments
for
MedComm,
Journal Year:
2024,
Volume and Issue:
5(7)
Published: July 1, 2024
Abstract
The
cerebellum
is
crucial
for
both
motor
and
nonmotor
functions.
Alzheimer's
disease
(AD),
alongside
other
dementias
such
as
vascular
dementia
(VaD),
Lewy
body
(DLB),
frontotemporal
(FTD),
well
neurodegenerative
diseases
(NDs)
like
Parkinson's
(PD),
amyotrophic
lateral
sclerosis
(ALS),
Huntington's
(HD),
spinocerebellar
ataxias
(SCA),
are
characterized
by
specific
non‐specific
neurodegenerations
in
central
nervous
system.
Previously,
the
cerebellum's
significance
these
conditions
was
underestimated.
However,
advancing
research
has
elevated
its
profile
a
critical
node
pathology.
We
comprehensively
review
existing
evidence
to
elucidate
relationship
between
aforementioned
diseases.
Our
findings
reveal
growing
of
unequivocally
establishing
link
AD,
forms
dementia,
NDs,
supported
clinical
evidence,
pathological
biochemical
profiles,
structural
functional
neuroimaging
data,
electrophysiological
findings.
By
contrasting
cerebellar
observations
with
those
from
cerebral
cortex
hippocampus,
we
highlight
distinct
role
processes.
Furthermore,
also
explore
emerging
therapeutic
potential
targeting
treatment
This
underscores
importance
diseases,
offering
new
insights
into
mechanisms
novel
strategies.
NeuroImage,
Journal Year:
2025,
Volume and Issue:
310, P. 121121 - 121121
Published: March 5, 2025
Brain
atrophy
is
detected
in
early
Parkinson's
disease
(PD)
and
accelerates
over
the
first
few
years
post-diagnosis.
This
was
captured
by
multiple
cross-sectional
studies
a
longitudinal
PD.
Yet
only
study
with
control
group
can
capture
accelerated
PD
differentiate
it
from
healthy
ageing.
Accordingly,
we
performed
multicohort
analysis
between
ageing,
examining
subcortical
regions
implicated
pathology,
including
basal
ganglia,
thalamus,
corpus
callosum
(CC),
cerebellum.
Longitudinal
volumetric
on
56
patients
53
matched
controls,
scans
collected
2-3
apart.
At
baseline,
showed
greater
volume
pallidum,
cerebellar
white
matter
(WM),
suggesting
potential
compensatory
mechanisms
prodromal
After
years,
observed
putamen
WM.
Interestingly,
controls
-
but
not
demonstrated
significant
decline
Total
Intracranial
Volume
(TIV),
thalamus
mid-CC.
Between-group
revealed
more
severe
right
striatum
WM
PD,
mid-posterior
CC
controls.
Using
CEREbellum
Segmentation
(CERES)
for
lobule
segmentation
cohort,
found
of
non-motor
cerebellum,
specifically
Crus
I
IX.
Our
results
highlight
an
initial
increase
during
followed
degeneration
Alzheimer s & Dementia,
Journal Year:
2024,
Volume and Issue:
21(1)
Published: Nov. 13, 2024
Pathological
and
neuroimaging
alterations
in
the
cerebellum
of
Alzheimer's
disease
(AD)
patients
have
been
documented.
However,
role
cerebellum-derived
radiomic
structural
connectome
modeling
prediction
AD
progression
remains
unclear.
Radiomic
features
were
extracted
from
magnetic
resonance
imaging
(MRI)
Disease
Neuroimaging
Initiative
(ADNI)
dataset
(n
=
1319)
an
in-house
308).
Integrated
machine
learning
models
developed
to
predict
conversion
risk
normal
cognition
(NC)
mild
cognitive
impairment
(MCI)
over
a
6-year
follow-up.
The
cerebellar
outperformed
hippocampal
distinguishing
MCI
NC
predicting
transitions
across
both
cohorts.
Key
predictors
included
textural
right
III
left
I
II
lobules,
network
properties
Vermis
II,
which
associated
with
decline
AD.
Cerebellum-derived
radiomic-network
shows
promise
as
tool
for
early
identification
during
preclinical
stage
Altered
topological
networks
identified
subjects
(MCI).
integrated
cognition.
model
effectively
predicts
can
stratify
individuals
into
distinct
categories.
Specific
are
various
stages
amyloid
beta
tau
pathology.
International Journal of Neural Systems,
Journal Year:
2024,
Volume and Issue:
34(09)
Published: May 10, 2024
Parkinsonism
is
presented
as
a
motor
syndrome
characterized
by
rigidity,
tremors,
and
bradykinesia,
with
Parkinson's
disease
(PD)
being
the
predominant
cause.
The
discovery
that
those
symptoms
result
from
death
of
dopaminergic
cells
in
substantia
nigra
led
to
focus
most
parkinsonism
research
on
basal
ganglia
(BG).
However,
recent
findings
point
an
active
involvement
cerebellum
this
syndrome.
Here,
we
have
developed
multiscale
computational
model
rodent
brain's
BG-cerebellar
network.
Simulations
showed
direct
effect
dopamine
depletion
must
be
taken
into
account
reproduce
alterations
neural
activity
parkinsonism,
particularly
increased
beta
oscillations
widely
reported
PD
patients.
Moreover,
indirectly
impacted
spike-time-dependent
plasticity
at
parallel
fiber-Purkinje
cell
synapses,
degrading
associative
learning
observed
parkinsonism.
Overall,
these
results
suggest
relevant
symptoms.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(3), P. e0298986 - e0298986
Published: March 29, 2024
Syzygium
heyneanum
is
a
valuable
source
of
flavonoids
and
phenols,
known
for
their
antioxidant
neuroprotective
properties.
This
research
aimed
to
explore
the
potential
ethanol
extract
(SHE)
in
countering
Parkinson’s
disease.
The
presence
phenols
results
SHE
displaying
an
IC
50
value
42.13
when
assessed
DPPH
scavenging
assay.
Rats’
vital
organs
(lungs,
heart,
spleen,
liver,
kidney)
histopathology
reveals
little
or
almost
no
harmful
effect.
study
hypothesized
that
possesses
antioxidants
could
mitigate
symptoms
by
influencing
α-synuclein,
acetylcholinesterase
(AChE),
TNF-α,
IL-1β.
Both
silico
vivo
investigations
were
conducted.
rat
model
was
established
using
paraquat
(1
mg/kg,
i.p.),
with
rats
divided
into
control,
disease
standard,
SHE-treated
groups
(150,
300,
600
mg/kg)
21
days.
According
ELISA
statistics,
treated
group
had
lowers
levels
IL-6
TNF-α
than
control
group,
which
sign
neuroprotection.
Behavioral
biochemical
assessments
performed,
alongside
mRNA
expression
analyses
RT-PCR
assess
SHE’s
impact
on
AChE,
interleukins
brain
homogenates.
observations
demonstrated
dose-dependent
improvements
(600
>
300
150
mg/kg).
Antioxidant
enzyme
(catalase,
superoxide
dismutase,
glutathione)
significantly
restored,
particularly
at
high
dose,
notable
reduction
malondialdehyde.
dose
notably
lowered
levels.
qRT-PCR
indicated
reduced
IL-1β,
AChE
compared
controls,
suggesting
In
conclusion,
this
highlights
alleviate
through
its
modulatory
effects
relevant
biomarkers.
Journal of Neuroimaging,
Journal Year:
2025,
Volume and Issue:
35(1)
Published: Jan. 1, 2025
This
study
investigated
the
neural
mechanisms
underlying
Parkinson's
disease
(PD)
subtypes-tremor
dominant
(TD)
and
postural
instability
gait
difficulty
(PIGD)-by
analyzing
regional
homogeneity
(ReHo)
values
from
resting-state
functional
MRI.
Fifty-nine
PD
patients
(29
TD
patients,
30
PIGD
patients)
healthy
controls
(HCs)
were
enrolled.
ReHo
analyzed
via
analysis
of
variance
a
two-sample
t-test,
with
age
sex
as
covariates.
Correlations
between
clinical
motor
symptoms
also
examined.
Distinct
patterns
observed
in
subtypes
HCs.
presented
decreased
cerebellar-thalamic-cortical
circuit,
whereas
lower
striatum
supplementary
area
(SMA).
had
higher
bilateral
dorsolateral
superior
frontal
gyrus
SMA
but
medial
orbital
part
other
regions
on
left
than
patients.
Specific
brain
correlated
tremor
scores,
rigidity
scores.
Different
HCs
showed
distinct
patterns.
correlation
traits
suggests
its
value
biomarker
for
subtype-specific
diagnostic
strategies.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Abstract
This
study
presents
an
early
diagnostic
method
for
Parkinson’s
disease
using
T1-weighted
imaging
texture
features
combined
with
machine
learning
models.
data
from
the
PPMI
database
were
preprocessed
to
extract
various
brain
regions,including
thalamus,
hippocampus,
caudate
nucleus,
amygdala,
globus
pallidus
and
putamen.
The
Random
Forest
(RF)
model
demonstrated
excellent
performance
in
distinguishing
patients
healthy
controls,
achieving
AUC
of
0.90,
accuracy
88.9%,
precision
92.3%,
sensitivity
specificity
80.0%,
F1
score
92.3%.
A
simplified
RF
also
exhibited
strong
a
prediction
77.8%.
effectively
leverages
assist
diagnosis
disease.