Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing–remitting but not in secondary progressive multiple sclerosis
Brain Communications,
Год журнала:
2024,
Номер
6(2)
Опубликована: Янв. 1, 2024
Large-scale
brain
activity
has
long
been
investigated
under
the
erroneous
assumption
of
stationarity.
Nowadays,
we
know
that
resting-state
functional
connectivity
is
characterized
by
aperiodic,
scale-free
bursts
(i.e.
neuronal
avalanches)
intermittently
recruit
different
regions.
These
patterns
represent
a
measure
flexibility,
whose
reduction
found
to
predict
clinical
impairment
in
multiple
neurodegenerative
diseases
such
as
Parkinson's
disease,
amyotrophic
lateral
sclerosis
and
Alzheimer's
disease.
Brain
flexibility
recently
increased
sclerosis,
but
its
relationship
with
disability
remains
elusive.
Also,
potential
differences
dynamics
according
phenotypes
remain
unexplored
so
far.
We
performed
study
quantifying
utilizing
'functional
repertoire'
number
configurations
active
areas)
through
source
reconstruction
magnetoencephalography
signals
cohort
25
patients
(10
relapsing-remitting
15
secondary
progressive
sclerosis)
healthy
controls.
Multiple
showed
greater
unique
reconfigurations
at
fast
time
scales
compared
This
difference
was
mainly
driven
phenotype,
whereas
no
significant
were
between
also
predictive
power
on
type.
For
first
time,
high
temporal
resolution
techniques,
unveiling
phenotype
disability.
Язык: Английский
Investigating the impact of different dichotomous definitions for cognitive impairment on functional connectivity in Secondary Progressive MS.
Multiple Sclerosis and Related Disorders,
Год журнала:
2025,
Номер
unknown, С. 106270 - 106270
Опубликована: Янв. 1, 2025
Язык: Английский
A Pipeline for the Analysis of Multilayer Brain Networks
Lecture notes in computer science,
Год журнала:
2024,
Номер
unknown, С. 86 - 98
Опубликована: Янв. 1, 2024
Язык: Английский
Flexibility of brain dynamics is increased and predicts clinical impairment in Relapsing-Remitting but not in Secondary Progressive Multiple Sclerosis
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 27, 2023
ABSTRACT
Background
Large-scale
brain
activity
has
long
been
investigated
under
the
erroneous
assumption
of
stationarity.
Nowadays,
we
know
that
resting
state
functional
connectivity
is
characterised
by
aperiodic,
scale-free
bursts
(i.e.
neuronal
avalanches)
intermittently
recruit
different
regions.
These
patterns
represent
a
measure
flexibility,
whose
reduction
found
to
predict
clinical
impairment
in
multiple
neurodegenerative
diseases
such
as
Parkinson’s
disease,
Amyotrophic
Lateral
Sclerosis,
and
Alzheimer’s
disease.
Brain
flexibility
recently
increased
Multiple
Sclerosis
(MS)
but
its
relationship
with
disability
remains
elusive.
Also,
potential
differences
dynamics
according
MS
phenotypes
remain
unexplored
so
far.
Methods
We
studied
through
source-reconstruction
magnetoencephalography
(MEG)
signals
cohort
25
patients
(10
RRMS
15
SPMS)
healthy
controls
(HC).
Results
showed
greater
than
HC.
On
contrary,
no
were
SPMS
compared
Finally,
predictive
power
on
type.
Conclusion
For
first
time,
high
temporal
resolution
techniques,
unveiling
phenotype
disability.
Язык: Английский
Diffusion tensor tomography with tractography in assessment of the pyramidal system in patients with highly active multiple sclerosis
Neurology neuropsychiatry Psychosomatics,
Год журнала:
2024,
Номер
16(3), С. 31 - 37
Опубликована: Июнь 21, 2024
Objective
:
to
study
the
pyramidal
tract
in
patients
with
highly
active
multiple
sclerosis
(HAMS)
during
treatment
switching
from
first-line
MS
therapy
second-line
due
suboptimal
response.
Material
and
methods
.
24
HAMS
were
analyzed.
Depending
on
severity
of
functional
system
(PFS)
impairment
according
EDSS,
divided
into
2
groups;
group
1
—
17
an
EDSS
score
0—2.5
points,
7
≥3
points.
All
underwent
MRI
brain
standard
protocol.
The
diffusion
tensor
images
(DTI)
processed
using
DTI
FiberTrak
software.
Results
volume
was
decreased
(p<0.001),
asymmetry
indicator
noted,
several
a
decrease
clinically
intact
side,
which
may
indicate
visually
undetectable
signs
damage
tract.
There
clear
tendency
for
fractional
anisotropy
length
increasing
deficit
(p<0.001).
Negative
correlations
found
between
indicators
neurological
(Spearman's
Rho=-0.5246;
p<0.001)
direct
correlation
duration
apparent
coefficient
(ADC)
inversely
(Pearson's
R=-0.290;
p=0.039).
Conclusion
observed
length,
increase
ADC,
these
indicators,
degree
insufficiency,
can
obviously
serve
as
additional
criteria
evaluation
disease
dynamics
efficacy
therapy.
Язык: Английский
Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder
Brain Sciences,
Год журнала:
2024,
Номер
14(9), С. 935 - 935
Опубликована: Сен. 19, 2024
Background:
Multilayer
networks
have
been
used
to
identify
abnormal
dynamic
reconfiguration
in
bipolar
disorder
(BD).
However,
these
studies
ignore
the
differences
information
interactions
between
adjacent
layers
when
constructing
multilayer
networks,
and
analysis
of
is
not
comprehensive
enough;
Methods:
Resting-state
functional
magnetic
resonance
imaging
data
were
collected
from
46
BD
patients
54
normal
controls.
A
temporal
network
was
constructed
for
each
subject,
inter-layer
coupling
different
nodes
considered
using
similarity.
The
promiscuity,
recruitment,
integration
coefficients
calculated
quantify
reconfigurations
two
groups;
Results:
global
coupling,
significantly
lower
patients.
These
results
further
observed
attention
limbic/paralimbic
subcortical
network,
reflecting
reduced
stability,
intra-
inter-subnetwork
communication
abilities
whole-brain
promiscuity
increased
same
somatosensory/motor
auditory
more
interactions;
Conclusions:
This
study
discovered
perspective
reconfiguration,
which
can
help
understand
pathological
mechanisms
BD.
Язык: Английский
Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach
Neurotrauma Reports,
Год журнала:
2024,
Номер
5(1), С. 1048 - 1059
Опубликована: Май 1, 2024
Neurological
recovery
in
individuals
with
spinal
cord
injury
(SCI)
is
multifaceted,
involving
mechanisms
such
as
remyelination
and
perilesional
neuroplasticity,
cortical
reorganization
being
one
contributing
factor.
Cortical
reorganization,
particular,
can
be
evaluated
through
network
(graph)
analysis
of
interregional
functional
connectivity.
This
study
aimed
to
investigate
patterns
persons
chronic
SCI
using
a
multilayer
community
detection
approach
on
resting-state
MRI
data.
Thirty-eight
participants
cervical
or
thoracic
32
matched
healthy
controls
were
examined.
Significant
alterations
brain
structures
observed
the
cohort,
particularly
within
sensorimotor
(SMN).
Importantly,
this
revealed
pattern
segregation
SMN,
aligning
borders
representations
upper
lower
body
orofacial
regions.
The
cohort
showed
reduced
recruitment
integration
coefficients
across
multiple
networks,
indicating
impaired
internetwork
communication
that
may
underlie
sensory
motor
deficits
SCI.
These
findings
highlight
impact
connectivity
suggest
potential
compensatory
mechanisms.
Язык: Английский