bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 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.
PSYCH up2date,
Год журнала:
2023,
Номер
17(01), С. 13 - 28
Опубликована: Янв. 1, 2023
Eine
Autoimmunenzephalitis
ist
eine
entzündliche
Erkrankung
des
zentralen
Nervensystems,
die
neben
neurologischen
Symptomen
häufig
und
teils
sogar
vorwiegend
durch
psychiatrische
Symptome
gekennzeichnet
sein
kann.
Bei
überwiegend
psychiatrischer
Manifestation
wird
sie
als
„psychiatrische
Autoimmunenzephalitis“
bezeichnet.
Die
Übersicht
zeigt
den
aktuellen
Stand
zur
Pathogenese
Diagnostik
sowie
verschiedene
Therapiemöglichkeiten
der
Immuntherapie
auch
Psychopharmakologie.
Frontiers in Neuroscience,
Год журнала:
2024,
Номер
18
Опубликована: Авг. 19, 2024
Patients
with
anti-N-methyl-D-aspartate
receptor
(anti-NMDAR)
encephalitis
often
experience
severe
symptoms.
Resting-state
functional
MRI
(rs-fMRI)
has
revealed
widespread
impairment
of
networks
in
patients.
However,
the
changes
information
flow
remain
unclear.
This
study
aims
to
investigate
intrinsic
connectivity
(FC)
both
within
and
between
resting-state
(RSNs),
as
well
alterations
effective
(EC)
these
networks.
data
were
collected
from
25
patients
anti-NMDAR
30
healthy
controls
(HCs)
matched
for
age,
sex,
educational
level.
Changes
RSNs
analyzed
using
independent
component
analysis
(ICA).
The
interaction
was
identified
by
granger
causality
(GCA).
Compared
HCs,
exhibited
lower
performance
on
Wisconsin
Card
Sorting
Test
(WCST),
terms
correct
numbers
categories.
Additionally,
demonstrated
decreased
scores
Montreal
Cognitive
Assessment
(MoCA).
Neuroimaging
studies
abnormal
intra-FC
default
mode
network
(DMN),
increased
visual
(VN)
dorsal
attention
(DAN),
inter-FC
VN
frontoparietal
(FPN).
Furthermore,
aberrant
observed
among
DMN,
DAN,
FPN,
VN,
somatomotor
(SMN).
displayed
noticeable
deficits
memory
executive
function.
Notably,
impairments
intra-FC,
inter-FC,
EC.
These
results
may
help
explain
pathophysiological
mechanism
encephalitis.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Май 12, 2022
ABSTRACT
Background
Functional
neuroimaging
studies
have
revealed
complex
and
heterogeneous
patterns
of
aberrant
functional
connectivity
(FC)
in
multiple
sclerosis
(MS),
yet
it
remains
unclear
how
time-resolved
FC
relates
to
variance
clinical
disease
severity.
Objectives
To
characterize
brain
activity
MS
patients
with
analysis
explore
the
relationship
between
severity,
multi-domain
impairments,
altered
network
dynamics.
Methods
Resting-state
MRI
data
were
acquired
from
101
age-
sex-matched
healthy
controls
(HC).
Dynamic
identified
five
states
that
compared
HC
high
vs.
low
disability.
Results
Patients
higher
severity
exhibited
a
more
widespread
spatiotemporal
pattern
spent
time
high-connectivity,
low-occurrence
state
lower
HC.
Depressive
symptom
was
positively
related
dynamics
on
global
scales
patients,
while
fatigue
motor
impairment
inversely
frontoparietal
basal
ganglia.
Conclusions
Time-resolved
uncovered
alterations
correlations
remained
undetected
static
account
activity.
Such
time-varying
approaches
are
thus
crucial
for
disentangling
dynamics,
symptoms
MS.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 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.
