Construction and application of a home exercise rehabilitation management program for elderly stroke patients based on the Functional Independence Measure score
Yuyan Wu,
No information about this author
Juan Wang,
No information about this author
Chenghua Wang
No information about this author
et al.
Journal of Clinical Neuroscience,
Journal Year:
2024,
Volume and Issue:
126, P. 265 - 269
Published: July 9, 2024
Language: Английский
Recovery of Verbal Working Memory Depends on Left Hemisphere White Matter Tracts
Randi C. Martin,
No information about this author
Junhua Ding,
No information about this author
Ali I Alwani
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 17, 2024
Researchers
propose
that
the
recovery
of
language
function
following
stroke
depends
on
recruitment
perilesional
regions
in
left
hemisphere
and/or
homologous
right
hemisphere.
Many
investigations
focus
changes
gray
matter
regions,
whereas
relatively
few
examine
white
tracts
and
none
address
role
these
verbal
working
memory
(WM).
The
present
study
addressed
gaps,
examining
vs.
longitudinal
phonological
semantic
WM.
For
24
individuals
with
stroke,
we
assessed
WM
performance
within
one
week
(acute
timepoint)
at
more
than
six
months
after
(chronic
timepoint).
To
whether
or
tracts,
were
related
to
integrity
five
which
had
been
implicated
previously
their
analogues.
Behavioral
results
showed
significant
improvement
but
not
from
acute
chronic
timepoints.
Improvements
significantly
correlated
tract
as
measured
by
functional
anisotropy
direct
segment
arcuate
fasciculus,
inferior
fronto-occipital
fasciculus
fasciculus.
confirm
support
involvement
rather
Language: Английский
Getting the wires uncrossed to recover language after stroke: Commentary on Billot and Kiran
Brain and Language,
Journal Year:
2024,
Volume and Issue:
258, P. 105478 - 105478
Published: Oct. 17, 2024
Language: Английский
Unstable dynamic brain state and reduced cerebro-cerebellar modularity in old people with subjective cognitive decline
Wuhai Tao,
No information about this author
Xiaojie Lu,
No information about this author
Sicong Yuan
No information about this author
et al.
NeuroImage,
Journal Year:
2024,
Volume and Issue:
unknown, P. 120969 - 120969
Published: Dec. 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.
Language: Английский
The effectiveness of drug therapy in the rehabilitation of patients with post-stroke aphasia
S S Korsakov Journal of Neurology and Psychiatry,
Journal Year:
2024,
Volume and Issue:
124(11), P. 132 - 132
Published: Jan. 1, 2024
To
evaluate
the
effectiveness
of
restoration
aphasic
disorders
in
patients
early
recovery
period
ischemic
stroke
(IS)
who
received
complex
therapy,
which
included
speech
therapy
and
injections
drug
Cellex.
Language: Английский
The rich information hidden in misspoken discourse
Brain,
Journal Year:
2024,
Volume and Issue:
147(9), P. 2909 - 2910
Published: July 16, 2024
This
scientific
commentary
refers
to
‘Artificial
intelligence
classifies
primary
progressive
aphasia
from
connected
speech’
by
Rezaii
et
al.
(https://doi.org/10.1093/brain/awae196).
Language: Английский