Altered Functional Connectivity Between Cortical Premotor Areas and the Spinal Cord in Chronic Stroke
Hanna Braaß,
No information about this author
Silke Wolf,
No information about this author
Jan Feldheim
No information about this author
et al.
Stroke,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Neuroscience
research
has
contributed
significantly
to
understanding
alterations
in
brain
structure
and
function
after
ischemic
stroke.
Technical
limitations
have
excluded
the
spinal
cord
from
imaging-based
research.
Available
data
are
restricted
a
few
microstructural
analyses,
functional
connectivity
absent.
The
present
study
attempted
close
this
knowledge
gap
assess
corticospinal
coupling
chronic
stroke
their
relation
motor
deficits.
In
cross-sectional
study,
patients
with
healthy
controls
underwent
magnetic
resonance
imaging
while
performing
simple
force
generation
task
at
University
Medical
Center
Hamburg-Eppendorf
between
September
2021
June
2023.
Task-related
activation
was
localized
ipsilesional
ventral
premotor
cortex,
supplementary
area,
cervical
cord.
Psycho-physiological
interactions
linear
modeling
were
used
infer
cortical
regions
associations
clinical
scores.
Thirteen
well-recovered
(1
woman,
12
men;
mean
age,
62.6
years;
time
stroke:
47.6
months)
13
(5
women,
8
64.5
years)
included.
main
finding
that
cortex
area
showed
topographically
distinct
Specifically,
we
found
reduced
ipsilateral
an
enhanced
intermediate
central
zones.
Lower
higher
cortex-related
couplings
correlated
residual
This
work
provides
first-in-human
insights
into
stroke-related
areas
cord,
suggesting
different
neuronal
assemblies
might
be
involved
changes.
It
adds
novel,
promising
approach
better
recovery
developing
innovative
models
comprehend
treatment
strategies
stimulation.
Language: Английский
Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network
Journal of Healthcare Informatics Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Language: Английский
Frontoparietal structural network disconnections correlate with outcome after a severe stroke
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 24, 2024
Structural
disconnectome
analyses
have
provided
valuable
insights
into
how
a
stroke
lesion
results
in
widespread
network
disturbances
and
these
relate
to
deficits,
recovery
patterns,
outcome.
Previous
primarily
focused
on
patients
with
relatively
mild
moderate
deficits.
However,
outcomes
vary
among
survivors
of
severe
strokes,
the
mechanisms
remain
poorly
understood.
This
study
assesses
association
between
lesion-induced
disconnection
outcome
after
stroke.
Thirty-eight
ischaemic
underwent
MRI
brain
imaging
early
longitudinal
clinical
follow-up.
Lesion
information
was
integrated
normative
connectome
data
infer
individual
profiles
localized
regional
region-to-region
pathway
level.
Ordinal
logistic
regressions
were
computed
link
modified
Rankin
Scale
3-6
months.
Disconnections
ipsilesional
frontal,
parietal
temporal
cortical
areas
significantly
associated
worse
motor
stroke,
adjusted
for
initial
deficit,
volume,
age.
The
analysis
underlying
pathways
mediating
this
revealed
location
specific
results:
For
prefrontal
areas,
driven
by
sparse
intrahemispheric
disconnections.
In
contrast,
primary
cortex,
dorsal
premotor
various
regions
showed
remarkable
involvement
either
frontoparietal
or
additionally
interhemispheric
These
indicate
that
multiple
embedded
structural
correlates
Specifically,
cortices
might
gain
particular
importance
as
they
structurally
networks
both
hemispheres.
shed
novel
light
significance
distinct
Language: Английский
Altered functional connectivity between cortical motor areas and the spinal cord in chronic stroke
Hanna Braaß,
No information about this author
Silke Wolf,
No information about this author
Jan Feldheim
No information about this author
et al.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 10, 2024
Abstract
Background
Neuroscience
research
has
contributed
significantly
to
understanding
alterations
in
brain
structure
and
function
after
ischemic
stroke.
Technical
limitations
have
excluded
the
spinal
cord
from
imaging-based
research.
Available
data
are
restricted
a
few
microstructural
analyses,
functional
connectivity
absent.
The
present
study
attempted
close
this
knowledge
gap
assess
corticospinal
activation
coupling
changes
chronic
Methods
Thirteen
well-recovered
stroke
patients
underwent
MRI
while
performing
simple
force
generation
task.
Task-related
was
localized
ipsilesional
primary
motor
cortex
(M1),
ventral
premotor
(PMV),
supplementary
area
(SMA),
as
well
cervical
cord.
Psycho-physiological
interactions
linear
modeling
were
used
infer
between
cortical
regions
their
associations
with
deficits.
Results
main
finding
that
PMV
SMA
showed
topographically
distinct
Specifically,
we
found
reduced
ipsilateral
an
enhanced
intermediate
central
zones.
Lower
SMA-
higher
PMV-related
couplings
correlated
residual
Conclusion
This
work
provides
first-in-human
insights
into
stroke-related
areas
cord,
suggesting
different
neuronal
assemblies
might
be
involved
changes.
It
adds
novel,
promising
approach
better
recovery
developing
innovative
models
comprehend
treatment
strategies
stimulation.
Language: Английский
The lesion core extent modulates the impact of early perfusion mismatch imaging on outcome variability after thrombectomy in stroke
Maria Marburg,
No information about this author
Linda F. Rudolf,
No information about this author
Christine Matthis
No information about this author
et al.
Frontiers in Neurology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 22, 2024
Introduction
Despite
profitable
group
effects
on
functional
outcomes
after
mechanical
thrombectomy
(MT)
in
large
vessel
occlusion
(LVO),
many
patients
with
successful
reperfusion
show
a
non-favorable
long-term
outcome,
highlighting
the
necessity
to
identify
potential
biomarkers
predicting
outcome
variability.
In
this
regard,
role
of
perfusion
mismatch
imaging
for
variability
early
time
window
within
6
h
symptom
onset
is
matter
debate.
We
attempted
investigate
under
which
conditions
accounts
thrombectomy.
Patients
and
methods
retrospective
single-center
study,
we
examined
190
consecutive
LVO
who
were
admitted
Medical
Center
Lübeck
onset,
all
whom
underwent
MT.
Perfusion
was
quantified
by
applying
Alberta
Stroke
Program
Early
CT
score
(ASPECTS)
CT-measured
cerebral
blood
flow
(CBF-ASPECTS)
subtracting
it
from
an
ASPECTS
application
volume
(CBV-ASPECTS),
i.e.,
mismatch.
Using
multivariate
ordinal
regression
models,
associations
between
modified
Rankin
Scale
(mRS)
90
days
assessed.
Furthermore,
interaction
core
lesion
calculated
evaluate
conditional
associations.
Results
did
not
correlate
when
corrected
multiple
influencing
covariables.
However,
interactions
CBV-ASPECTS
[OR:
1.12
(1.06–1.18),
p
-value
<
0.001],
as
well
NCCT-ASPECTS
1.15
(1.06–1.25),
significant
association
outcomes.
Model
comparisons
revealed
that,
profoundly,
volumes
(CBV-ASPECTS
or
6),
showed
negative
correlation
mRS.
Discussion
conclusion
first
provides
valuable
insights
into
stroke
receiving
but
only
ischemic
lesions.
Language: Английский
Frontoparietal Structural Network Disconnections Correlate With Outcome After a Severe Stroke
Human Brain Mapping,
Journal Year:
2024,
Volume and Issue:
45(16)
Published: Nov. 1, 2024
ABSTRACT
Structural
disconnectome
analyses
have
provided
valuable
insights
into
how
a
stroke
lesion
results
in
widespread
network
disturbances
and
these
relate
to
deficits,
recovery
patterns,
outcomes.
Previous
primarily
focused
on
patients
with
relatively
mild
moderate
deficits.
However,
outcomes
vary
among
survivors
of
severe
strokes,
the
mechanisms
remain
poorly
understood.
This
study
assesses
association
between
lesion‐induced
disconnection
outcome
after
stroke.
Thirty‐eight
ischaemic
underwent
MRI
brain
imaging
early
longitudinal
clinical
follow‐up.
Lesion
information
was
integrated
normative
connectome
data
infer
individual
profiles
localized
regional
region‐to‐region
pathway
level.
Ordinal
logistic
regressions
were
computed
link
modified
Rankin
Scale
3–6
months.
Disconnections
ipsilesional
frontal,
parietal,
temporal
cortical
areas
significantly
associated
worse
motor
stroke,
adjusted
for
initial
deficit,
volume,
age.
The
analysis
underlying
pathways
mediating
this
revealed
location‐specific
results:
For
prefrontal,
areas,
driven
by
sparse
intrahemispheric
disconnections.
In
contrast,
primary
cortex,
dorsal
premotor
various
parietal
regions
showed
remarkable
involvement
either
frontoparietal
or
additionally
interhemispheric
These
indicate
that
multiple
embedded
structural
correlates
Specifically,
cortices
might
gain
particular
importance
as
they
structurally
networks
both
hemispheres.
shed
novel
light
significance
distinct
Language: Английский
Behavior Clusters in Ischemic Stroke using NIHSS
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 9, 2023
Abstract
Purpose
Stroke
is
a
leading
cause
of
death
and
disability.
The
subsequent
dysfunctions
relate
to
brain
lesion
location.
complex
relationship
between
behavioral
symptoms
location
essential
for
care
rehabilitation,
useful
understand
the
healthy
brain.
Such
complexity
eludes
linear
methods.
Differently
from
previous
works,
this
study
clusters
patients
by
recurrent
profiles,
then
retrieves
their
neural
correlates.
Methods
Prevalence,
severity
associations
affecting
are
condensed
in
similarity
measure
profiles.
computation
specifically
adheres
ordinal
nature
NIHSS
data.
A
network
model
links
with
strength
proportional
similarity.
nodes
classified
through
novel
spectral
clustering
variation.
Lesions
each
cluster’s
used
voxel-wise
analysis
statically
validate
findings.
Results
express
co-occurring
accordance
literature
on
deficits
covariance.
Moreover,
they
show
coherent
groups
lesions
associated
CT
MRI
scans.
anatomical
position
significant
voxels
found
aligned
literature.
Even
when
density
maps
overlap,
well
separated.
Conclusion
presented
workflow
offers
concrete,
clinically
correlations
individual
patients-to-group
associations,
in-group
co-occurrences
symptoms,
underlying
mathematical
assumptions,
unsupervised
machine
learning
techniques
offer
statistically
robust
results
being
further
applied
other
multimodal
biomedical
Language: Английский