bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Jan. 24, 2022
ABSTRACT
Objective
Patients
with
anti-NMDA
receptor
encephalitis
suffer
from
a
severe
neuropsychiatric
syndrome,
yet
most
patients
show
no
abnormalities
in
routine
magnetic
resonance
imaging.
In
contrast,
advanced
neuroimaging
studies
have
consistently
identified
disrupted
functional
connectivity
these
patients,
recent
work
suggesting
increased
volatility
of
state
dynamics.
Here,
we
investigate
network
dynamics
through
the
spatiotemporal
trajectory
meta-state
transitions,
yielding
time-resolved
account
brain
exploration
encephalitis.
Methods
Resting-state
imaging
data
were
acquired
73
NMDAR
and
age-
sex-matched
healthy
controls.
Time-resolved
was
clustered
into
meta-states,
giving
rise
to
transition
graph
states
as
nodes
transitions
between
meta-states
weighted,
directed
edges.
Network
topology,
robustness,
cost
networks
compared
groups.
Results
Transition
showed
significantly
lower
local
efficiency
(
t
=
-2.54,
p
FDR
0.026),
robustness
-2.01,
0.048)
higher
leap
size
2.33,
0.026)
Furthermore,
ratio
within-to-between
module
similarity
patients.
Importantly,
alterations
correlated
disease
severity.
Interpretation
These
findings
reveal
systematic
that
is
characterized
by
reduced
stability
this
resilience
plays
clinically
relevant
role
manifestation
disease.
Human Brain Mapping,
Journal Year:
2021,
Volume and Issue:
42(7), P. 2278 - 2291
Published: March 2, 2021
The
aim
of
the
current
study
was
to
explore
whole-brain
dynamic
functional
connectivity
patterns
in
acute
ischemic
stroke
(AIS)
patients
and
their
relation
short
long-term
severity.
We
investigated
resting-state
MRI-based
41
AIS
two
five
days
after
symptom
onset.
Re-occurring
configurations
were
obtained
using
a
sliding
window
approach
k-means
clustering.
evaluated
differences
between
three
NIHSS-stroke
severity
defined
groups
(mildly,
moderately,
severely
affected
patients).
Furthermore,
we
built
Bayesian
hierarchical
models
evaluate
predictive
capacity
examine
interrelation
with
clinical
measures,
such
as
white
matter
hyperintensity
lesions.
Finally,
established
correlation
analyses
well
90-day
neurological
recovery
(ΔNIHSS).
identified
distinct
acutely
post-stroke.
More
spent
significantly
more
time
configuration
that
characterized
by
particularly
strong
isolated
processing
brain
domains
(three-level
ANOVA:
p
<
.05,
post
hoc
t
tests:
FDR-corrected).
Configuration-specific
estimates
possessed
addition
one
measures.
Recovery,
indexed
realized
change
NIHSS
over
time,
linked
bilateral
intraparietal
lobule
left
angular
gyrus
(Pearson's
r
=
-.68,
.003,
Our
findings
demonstrate
transiently
increased
information
multiple
case
severe
AIS.
Dynamic
involving
default
mode
network
components
correlated
first
3
months
poststroke.
NeuroImage Clinical,
Journal Year:
2022,
Volume and Issue:
36, P. 103203 - 103203
Published: Jan. 1, 2022
Multiple
sclerosis
(MS)
is
an
autoimmune
disease
of
the
central
nervous
system
associated
with
deficits
in
cognitive
and
motor
functioning.
While
structural
brain
changes
such
as
demyelination
are
early
hallmark
disease,
a
characteristic
profile
functional
alterations
MS
lacking.
Functional
neuroimaging
studies
at
various
stages
have
revealed
complex
heterogeneous
patterns
aberrant
connectivity
(FC)
MS,
previous
largely
being
limited
to
static
account
FC.
Thus,
it
remains
unclear
how
time-resolved
FC
relates
variance
clinical
disability
status
MS.
We
here
aimed
characterize
network
organization
patients
analysis
explore
relationship
between
status,
multi-domain
outcomes
altered
dynamics.
Resting-state
MRI
(rs-fMRI)
data
were
acquired
from
101
age-
sex-matched
healthy
controls
(HC).
Based
on
Expanded
Disability
Status
Score
(EDSS),
split
into
two
sub-groups:
without
(EDSS≤1,
n
=
36)
mild
moderate
levels
(EDSS≥2,
39).
Five
dynamic
states
extracted
whole-brain
rs-fMRI
data.
Group
differences
strength,
across-state
overall
connectivity,
dwell
time,
transition
frequency,
modularity,
global
assessed.
Patients'
impairment
was
quantified
custom
outcome
z-scores
(higher:
worse)
for
domains
depressive
symptoms,
fatigue,
motor,
vision,
cognition,
total
atrophy,
lesion
load.
Correlation
analyses
measures
performed
Spearman
partial
correlation
controlling
age.
Patients
exhibited
more
widespread
spatiotemporal
pattern
spent
time
high-connectivity,
low-occurrence
state
compared
HCs.
Worse
symptoms
all
positively
EDSS
scores.
Furthermore,
symptom
severity
related
dynamics
measured
by
state-specific
DMN
attention
networks,
while
fatigue
reduced
frontoparietal
basal
ganglia.
Despite
comparably
low
we
identified
distinct
those
disability,
these
sensitive
multiple
domains.
uncovered
correlations
that
remained
undetected
conventional
analyses,
showing
accounting
temporal
helps
disentangle
alterations,
Molecular Psychiatry,
Journal Year:
2023,
Volume and Issue:
29(1), P. 85 - 96
Published: Oct. 24, 2023
Abstract
Decreased
hippocampal
connectivity
and
disruption
of
functional
networks
are
established
resting-state
MRI
(rs-fMRI)
features
that
associated
with
neuropsychiatric
symptom
severity
in
human
anti-N-methyl-D-aspartate
receptor
(NMDAR)
encephalitis.
However,
the
underlying
pathophysiology
NMDAR
encephalitis
remains
poorly
understood.
Application
patient-derived
monoclonal
antibodies
against
NR1
(GluN1)
subunit
now
allows
for
translational
investigation
experimental
murine
antibody
disease
models
neurodevelopmental
disorders.
Using
rs-fMRI,
we
studied
alterations
(1)
adult
C57BL/6
J
mice
were
intrathecally
injected
a
recombinant
over
14
days
(
n
=
10)
(2)
newly
mouse
model
utero
exposure
to
(NR1-offspring)
at
age
(2a)
8
weeks
15)
(2b)
10
months
14).
Adult
NR1-antibody
showed
impaired
within
left
hippocampus
compared
controls,
resembling
patterns
observed
patients.
Similarly,
NR1-offspring
significantly
reduced
after
weeks,
was
likewise
months.
We
successfully
reproduced
changes
different
systems
previously
Translational
application
this
method
combined
imaging
histopathological
framework
will
allow
future
studies
identify
biological
mechanisms
may
eventually
facilitate
non-invasive
monitoring
activity
treatment
responses
autoimmune
European Journal of Neuroscience,
Journal Year:
2022,
Volume and Issue:
57(3), P. 568 - 579
Published: Dec. 14, 2022
Patients
with
anti-N-methyl-aspartate
receptor
(NMDA)
encephalitis
suffer
from
a
severe
neuropsychiatric
syndrome,
yet
most
patients
show
no
abnormalities
in
routine
magnetic
resonance
imaging.
In
contrast,
advanced
neuroimaging
studies
have
consistently
identified
disrupted
functional
connectivity
these
patients,
recent
work
suggesting
increased
volatility
of
state
dynamics.
Here,
we
investigate
network
dynamics
through
the
spatiotemporal
trajectory
meta-state
transitions,
yielding
time-resolved
account
brain
exploration
anti-NMDA
encephalitis.
To
this
end,
resting-state
imaging
data
were
acquired
73
and
age-
sex-matched
healthy
controls.
Time-resolved
was
clustered
into
meta-states,
giving
rise
to
transition
graph
states
as
nodes
transitions
between
meta-states
weighted,
directed
edges.
Network
topology,
robustness
cost
networks
compared
groups.
Transition
showed
significantly
lower
local
efficiency
(t
=
-2.41,
pFDR
.029),
-2.01,
.048)
higher
leap
size
2.18,
.037)
Furthermore,
ratio
within-to-between
module
similarity
patients.
Importantly,
alterations
correlated
disease
severity.
Together,
findings
reveal
systematic
that
is
characterized
by
reduced
stability
resilience
plays
clinically
relevant
role
manifestation
disease.
Journal of Neurology Neurosurgery & Psychiatry,
Journal Year:
2023,
Volume and Issue:
unknown, P. jnnp - 332069
Published: Oct. 5, 2023
Background
Anti-N-methyl-D-aspartate
receptor
(NMDAR)
encephalitis
rarely
causes
visible
lesions
in
conventional
MRI,
yet
advanced
imaging
detects
extensive
white
matter
damage.
To
improve
prognostic
capabilities,
we
evaluate
the
T1-weighted/T2-weighted
(T1w/T2w)
ratio,
a
measure
of
integrity
computable
from
clinical
MRI
sequences,
NMDAR
and
examine
its
associations
with
cognitive
impairment.
Methods
T1-weighted
T2-weighted
were
acquired
cross-sectionally
at
3
Tesla
53
patients
(81%
women,
mean
age
29
years)
matched
healthy
controls.
Quantitative
voxel-wise
group
differences
T1w/T2w
ratios
neuropsychological
outcomes
assessed.
P-values
false
discovery
rate
(FDR)
adjusted
where
multiple
tests
conducted.
Results
Patients
had
significantly
lower
across
normal
appearing
(p=0.009,
Hedges’
g=−0.51),
which
was
associated
worse
verbal
episodic
memory
performance
(r=0.39,
p=0.005,
p(FDR)=0.026).
White
loss
observed
corticospinal
tract,
superior
longitudinal
fascicle,
optic
radiation
callosal
body
medium
to
large
effects
(Cohen’s
d=[0.42–1.17]).
In
addition,
showed
decreased
hippocampus
(p=0.002,
p(FDR)=0.005,
g=−0.62),
amygdala
g=−0.63)
thalamus
(p=0.010,
p(FDR)=0.019,
g=−0.51).
Conclusions
The
ratio
microstructural
changes
grey
that
correlate
performance.
Computable
this
shows
promise
bridging
clinico-radiological
dissociation
could
serve
as
an
outcome
trials.
Journal of Neurology,
Journal Year:
2024,
Volume and Issue:
271(9), P. 5886 - 5898
Published: July 8, 2024
Anti-N-methyl-D-aspartate
receptor
(NMDAR)
encephalitis
is
characterized
by
distinct
structural
and
functional
brain
alterations,
predominantly
affecting
the
medial
temporal
lobes
hippocampus.
Structural
connectome
analysis
with
graph-based
investigations
of
network
properties
allows
for
an
in-depth
characterization
global
local
changes
their
relationship
clinical
deficits
in
NMDAR
encephalitis.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging,
Journal Year:
2024,
Volume and Issue:
9(11), P. 1222 - 1229
Published: July 27, 2024
Anti-N-methyl-D-aspartate
receptor
encephalitis
(NMDARE)
causes
long-lasting
cognitive
deficits
associated
with
altered
functional
connectivity.
Eigenvector
centrality
(EC)
mapping
represents
a
powerful
new
method
for
data-driven
voxel-wise
and
time-resolved
estimation
of
network
importance
–
beyond
changes
in
classical
'static'
To
assess
brain
organization,
we
applied
EC
73
patients
NMDARE
matched
healthy
controls.
Areas
significant
group
differences
were
further
investigated
using
(i)
spatial
clustering
analyses,
(ii)
time
series
correlation
to
synchronicity
between
the
hippocampus
cortical
regions,
(iii)
clinical
parameters.
Dynamic,
showed
significantly
higher
variability
13
areas
(p(FWE)<0.05)
compared
HC.
dynamic
spatially
organized
clusters
resembling
resting-state
networks.
Importantly,
frontotemporal
cluster
was
impaired
verbal
episodic
memory
(r=-0.25,
p=0.037).
medial
prefrontal
cortex
reduced
HC
(p(FWE)<0.05,
t(max)=3.76),
(r=0.28,
p=0.019).
Static
analyses
only
one
region
(left
intracalcarine
cortex).
Widespread
dynamics
hippocampal-medial
may
thus
represent
neural
correlate
dysfunction
NMDARE.
detected
substantially
more
alterations
than
traditional
static
approaches,
highlighting
potential
this
explain
long-term