IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Journal Year:
2023,
Volume and Issue:
31, P. 1056 - 1063
Published: Jan. 1, 2023
While
in
the
literature
there
is
much
interest
investigating
lower
limbs
gait
of
patients
affected
by
neurological
diseases,
such
as
Parkinson's
Disease
(PD),
fewer
publications
involving
upper
movements
are
available.
In
previous
studies,
24
motion
signals
(the
so-called
reaching
tasks)
PD
and
Healthy
Controls
(HCs)
were
used
to
extract
several
kinematic
features
through
a
custom-made
software;
conversely,
aim
our
paper
investigate
possibility
build
models
-
using
these
for
distinguishing
from
HCs.
First,
binary
logistic
regression
and,
then,
Machine
Learning
(ML)
analysis
was
performed
implementing
five
algorithms
Knime
Analytics
Platform.
The
ML
twice:
first,
leave-one
out-cross
validation
applied;
wrapper
feature
selection
method
implemented
identify
best
subset
that
could
maximize
accuracy.
achieved
an
accuracy
90.5%,
demonstrating
importance
maximum
jerk
during
subjects
limb
motion;
Hosmer-Lemeshow
test
supported
validity
this
model
(p-value=0.408).
first
high
evaluation
metrics
overcoming
95%
accuracy;
second
perfect
classification
with
100%
both
area
under
curve
receiver
operating
characteristics.
top-five
terms
acceleration,
smoothness,
duration,
kurtosis.
investigation
carried
out
work
has
proved
predictive
power
features,
extracted
tasks
limbs,
distinguish
HCs
patients.
Diagnostics,
Journal Year:
2023,
Volume and Issue:
13(3), P. 573 - 573
Published: Feb. 3, 2023
This
paper
discusses
the
promising
areas
of
research
into
machine
learning
applications
for
prevention
and
correction
neurodegenerative
depressive
disorders.
These
two
groups
disorders
are
among
leading
causes
decline
in
quality
life
world
when
estimated
using
disability-adjusted
years.
Despite
decades
research,
development
new
approaches
assessment
(especially
pre-clinical)
diseases
remains
priority
neurophysiology,
psychology,
genetics,
interdisciplinary
medicine.
Contemporary
technologies
medical
data
infrastructure
create
opportunities.
However,
reaching
a
consensus
on
application
methods
their
integration
with
existing
standards
care
is
still
challenge
to
overcome
before
innovations
could
be
widely
introduced
clinics.
The
clinical
predictions
classification
algorithms
contributes
towards
creating
unified
approach
use
growing
data.
should
integrate
requirements
professionals,
researchers,
governmental
regulators.
In
current
paper,
state
presented.
Translational Neurodegeneration,
Journal Year:
2023,
Volume and Issue:
12(1)
Published: Feb. 27, 2023
Abstract
Physical
exercise
is
of
great
significance
for
maintaining
human
health.
Exercise
can
provide
varying
degrees
benefits
to
cognitive
function
at
all
stages
life
cycle.
Currently,
with
the
aging
world’s
population
and
increase
expectancy,
dysfunction
has
gradually
become
a
disease
high
incidence,
which
accompanied
by
neurodegenerative
diseases
in
elderly
individuals.
Patients
often
exhibit
memory
loss,
aphasia
weakening
orientation
once
diagnosed,
are
unable
have
normal
life.
Cognitive
largely
affects
physical
mental
health,
reduces
quality
life,
causes
economic
burden
society.
At
present,
most
interventions
aimed
maintain
current
level
delay
deterioration
cognition.
In
contrast,
as
nonpharmacological
therapy
advantages
its
nontoxicity,
low
cost
universal
application.
The
molecular
mechanisms
underlying
effect
on
cognition
complex,
studies
been
extensively
centered
neural
plasticity,
direct
target
brain.
addition,
mitochondrial
stability
energy
metabolism
essential
brain
status.
Meanwhile,
organ-brain
axis
responds
induces
release
cytokines
related
this
review,
we
summarize
latest
evidence
effects
cognition,
point
out
directions
future
research.
Frontiers in Neurology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 28, 2025
This
review
explores
the
impact
of
physical
exercise
on
brain-derived
neurotrophic
factor
(BDNF)
and
its
relationship
with
neurodegenerative
diseases.
The
key
role
BDNF
in
maintaining
brain
health
is
highlighted,
recent
studies
are
analyzed
that
indicate
an
increase
levels
following
activity,
particularly
young
adults.
Additionally,
interaction
between
Val66Met
genetic
polymorphism
cognitive
function
examined.
emphasizes
possibility
as
a
complementary
therapy
for
diseases,
although
further
research
required
to
fully
understand
effects.
Ageing Research Reviews,
Journal Year:
2022,
Volume and Issue:
80, P. 101698 - 101698
Published: July 16, 2022
To
determine
the
effects
of
low-
vs.
high-intensity
aerobic
and
resistance
training
on
motor
cognitive
function,
brain
activation,
structure,
neurochemical
markers
neuroplasticity
association
thereof
in
healthy
young
older
adults
patients
with
multiple
sclerosis,
Parkinson's
disease,
stroke.Systematic
review
robust
variance
estimation
meta-analysis
meta-regression.Systematic
search
MEDLINE,
Web
Science,
CINAHL
databases.Fifty
studies
60
intervention
arms
2283
in-analyses
participants
were
included.
Due
to
low
number
studies,
three
patient
groups
combined
analyzed
as
a
single
group.
Overall,
(g=0.19,
p
=
0.024)
exercise
(g=0.40,
0.001)
improved
neuroplasticity.
Exercise
intensity
scaled
only
but
not
or
groups.
Exercise-induced
improvements
associated
changes
outcomes.Exercise
is
an
important
variable
dose
individualize
stimulus
for
individuals
necessarily
neurological
patients.
This
conclusion
warrants
caution
because
are
needed
that
directly
compare
if
such
mechanistically
incrementally
linked
cognition
function.
BMC Geriatrics,
Journal Year:
2022,
Volume and Issue:
22(1)
Published: July 25, 2022
Multicomponent
physical
exercise
is
the
most
recommended
type
of
intervention
in
older
adults.
Experimental
data
suggest
relevance
muscle-brain
axis
and
relationship
between
muscle
contraction
release
brain-derived
neurotrophic
factor,
however,
impact
this
on
cognition
remains
unclear,
especially
people
with
diagnosis
cognitive
impairment.
This
study
assesses
effect
multicomponent
global
mild
impairment
or
dementia.
Brain Sciences,
Journal Year:
2023,
Volume and Issue:
13(3), P. 437 - 437
Published: March 3, 2023
Rehabilitation
is
a
high-potential
approach
to
improving
physical
and
cognitive
functions
in
Parkinson’s
disease
(PD).
Dual-task
training
innovatively
combines
motor
rehabilitation
comprehensive
module.
Patients
perform
tasks
at
the
same
time
dual-task
training.
The
previous
studies
of
PD
had
high
heterogeneity
achieved
controversial
results.
In
current
review,
we
aim
summarize
evidence
effect
on
patients
support
clinical
practice
addition,
also
discuss
opinions
regarding
mechanism
underlying
interaction
between
conclusion,
suitable
for
with
varied
duration
improve
their
function.
can
symptoms,
single-task
gait
speed,
steep
length,
balance,
objective
experience
freezing
PD.
improvement
function
after
mild.
Neurorehabilitation and neural repair,
Journal Year:
2023,
Volume and Issue:
37(5), P. 328 - 352
Published: May 1, 2023
Introduction
Exercise
has
many
benefits
for
people
with
Parkinson’s
disease
(PD)
and
been
suggested
to
modify
PD
progression,
but
robust
evidence
supporting
this
is
lacking.
Objective
This
systematic
review
(PROSPERO
registration:
CRD42020169999)
investigated
whether
exercise
may
have
neuroplastic
effects
indicative
of
attenuating
progression.
Methods
Six
databases
were
searched
randomized
controlled
trials
(RCTs)
that
compared
the
effect
control
(no
or
sham
exercise)
another
form
exercise,
on
indicators
progression
(eg,
brain-derived
neurotrophic
factor
[BDNF],
brain
activation,
“off”
Unified
Disease
Rating
Scale
[UPDRS]
scores).
Trial
quality
was
assessed
using
Physiotherapy
Evidence
Database
Scale.
Random-effects
meta-analyses
performed
where
at
least
3
comparable
reported
same
outcome;
remaining
results
synthesized
narratively.
Results
Forty-nine
involving
2104
participants
included.
Compared
control,
improved
UPDRS
motor
scores
(Hedge’s
g
−0.39,
95%
CI:
−0.65
−0.13,
P
=
.003)
BDNF
concentration
0.54,
0.10-0.98,
.02),
low
very
certainty
evidence,
respectively.
Narrative
synthesis
outcomes
effects.
The
versus
comparisons
too
heterogenous
enable
pooling
results.
Discussion
provides
limited
an
potential
markers
Further
large
RCTs
are
warranted
explore
differential
by
type,
dose
stage,
should
report
a
core
set
Experimental Gerontology,
Journal Year:
2024,
Volume and Issue:
195, P. 112539 - 112539
Published: Aug. 8, 2024
Neurodegenerative
diseases
(NDDs)
are
a
class
of
neurological
disorders
marked
by
the
progressive
loss
neurons
that
afflict
millions
people
worldwide.
These
illnesses
affect
brain
connection,
impairing
memory,
cognition,
behavior,
sensory
perception,
and
motor
function.
Alzheimer's,
Parkinson's,
Huntington's
examples
common
NDDs,
which
frequently
include
buildup
misfolded
proteins.
Cognitive-behavioral
impairments
early
markers
neurodevelopmental
disorders,
emphasizing
importance
detection
intervention.
Neurotrophins
such
as
brain-derived
neurotrophic
factor
(BDNF)
critical
for
neuron
survival
synaptic
plasticity,
is
required
learning
memory.
NDDs
have
been
associated
with
decreased
BDNF
levels.
Physical
exercise,
non-pharmacological
intervention,
benefits
health
increasing
levels,
lowering
cognitive
deficits,
slowing
degradation.
Exercise
advantages
increased
well-being,
reduced
depression,
improved
skills,
neuroprotection
amyloid
accumulation,
oxidative
stress,
neuroinflammation.
This
study
examines
effects
physical
exercise
on
cognitive-behavioral
deficits
levels
in
limbic
system
impacted
neurodegeneration.
The
findings
highlight
necessity
including
into
NDD
treatment
to
improve
structure,
function,
total
As
research
advances,
becoming
increasingly
acknowledged
an
important
technique
treating
decline
neurodegenerative
disorders.
Frontiers in Physiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Feb. 20, 2024
Background:
Brain-Derived
Neurotrophic
Factor
(BDNF)
serum
levels
are
reduced
in
patients
with
Parkinson’s
Disease
(PD).
Objectives:
This
study
aimed
to
assess
the
effect
of
exercise
intensity,
volume
and
type
on
BDNF
PD.
Methods:
We
searched
clinicaltrials.gov,
CINAHL,
Embase,
PubMed,
Scopus,
Web
Science
for
both
controlled
non-controlled
studies
PD,
published
between
2003
2022,
which
assessed
before
after
different
protocols.
Exercise
intensity
was
estimated
using
a
time-weighted
average
Metabolic
Equivalent
Task
(MET),
while
by
multiplying
MET
duration
exercise.
types
were
classified
as
aerobic,
resistance,
balance
others.
computed
two
distinct
standardized
measures
effects:
Hedges’
g
estimate
differences
experimental
control
group
pre-post
intervention
changes,
Cohen’s
d
measure
changes
values
each
arm.
Meta-regression
linear
regression
used
whether
these
associated
type.
PROSPERO
registration
number:
CRD42023418629.
Results:
Sixteen
(8
two-arm
trials
8
single-arm
trials)
including
370
PD
eligible
systematic
review.
Selected
had
large
variability
terms
population
characteristics.
The
meta-analysis
showed
significant
improvement
compared
group,
=
0.70
(95%
CI:
0.03,
1.38),
substantial
heterogeneity
(I
2
76.0%).
Between-group
positively
change
subset
5
studies.
In
analysis
included
studies,
total
change.
No
difference
found
according
Conclusion:
Exercises
greater
may
increase
role
needs
be
further
explored.