PeerJ,
Год журнала:
2024,
Номер
12, С. e17721 - e17721
Опубликована: Июль 19, 2024
A
large
body
of
research
establishes
the
efficacy
musical
intervention
in
many
aspects
physical,
cognitive,
communication,
social,
and
emotional
rehabilitation.
However,
underlying
neural
mechanisms
for
therapy
remain
elusive.
This
study
aimed
to
investigate
potential
correlates
therapy,
focusing
on
changes
topology
emotion
brain
network.
To
this
end,
a
Bayesian
statistical
approach
cross-over
experimental
design
were
employed
together
with
two
resting-state
magnetoencephalography
(MEG)
as
controls.
MEG
recordings
30
healthy
subjects
acquired
while
listening
five
auditory
stimuli
random
order.
Two
each
subject
obtained,
one
prior
first
stimulus
(pre)
after
final
(post).
Time
series
at
level
regions
estimated
using
depth-weighted
minimum
norm
estimation
(wMNE)
source
reconstruction
method
functional
connectivity
between
these
computed.
The
resultant
matrices
used
derive
topological
network
measures:
transitivity
global
efficiency
which
are
important
gauging
segregation
integration
respectively.
differences
measures
pre-
post-stimuli
resting
set
equivalence
regions.
We
found
that
under
all
equivalent
state
frequency
bands,
indicating
associated
regulation
remains
unchanged
following
stimuli.
suggests
may
not
be
mechanism
therapy.
Nonetheless,
further
studies
required
explore
interventions
especially
populations
neuropsychiatric
disorders.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Май 21, 2024
Abstract
Our
brain
is
constantly
extracting,
predicting,
and
recognising
key
spatiotemporal
features
of
the
physical
world
in
order
to
survive.
While
neural
processing
visuospatial
patterns
has
been
extensively
studied,
hierarchical
mechanisms
underlying
conscious
recognition
auditory
sequences
associated
prediction
errors
remain
elusive.
Using
magnetoencephalography
(MEG),
we
describe
functioning
83
participants
during
previously
memorised
musical
systematic
variations.
The
results
show
feedforward
connections
originating
from
cortices,
extending
hippocampus,
anterior
cingulate
gyrus,
medial
gyrus.
Simultaneously,
observe
backward
operating
opposite
direction.
Throughout
sequences,
hippocampus
gyrus
maintain
same
level,
except
for
final
tone,
where
assumes
top
position
within
hierarchy.
evoked
responses
variations
engage
network
but
systematically
differ
terms
temporal
dynamics,
strength,
polarity.
Furthermore,
induced-response
analysis
shows
that
alpha
beta
power
stronger
variations,
while
gamma
enhanced
sequences.
This
study
expands
on
predictive
coding
theory
by
providing
quantitative
evidence
memory
Network Neuroscience,
Год журнала:
2025,
Номер
9(1), С. 421 - 446
Опубликована: Янв. 1, 2025
Magnetoencephalography
(MEG)
is
widely
used
for
studying
resting-state
brain
connectivity.
However,
MEG
source
imaging
ill
posed
and
has
limited
spatial
resolution.
This
introduces
source-leakage
issues,
making
it
challenging
to
interpret
MEG-derived
connectivity
in
resting
states.
To
address
this,
we
validated
from
45
healthy
participants
using
a
normative
intracranial
EEG
(iEEG)
atlas.
The
inverse
problem
was
solved
the
wavelet-maximum
entropy
on
mean
method.
We
computed
four
metrics:
amplitude
envelope
correlation
(AEC),
orthogonalized
AEC
(OAEC),
phase
locking
value
(PLV),
weighted-phase
lag
index
(wPLI).
compared
between
iEEG
connectomes
across
standard
canonical
frequency
bands.
found
moderate
correlations
PLV.
when
considering
metrics
that
correct/remove
zero-lag
(OAEC/wPLI),
decreased.
exhibited
higher
with
iEEG.
suggest
relevant
patterns
can
be
recovered
MEG.
since
these
are
moderate/low,
results
should
interpreted
caution.
Metrics
correct
show
decreased
correlations,
highlighting
trade-off;
while
may
capture
more
due
source-leakage,
removing
eliminate
true
connections.
Brain Communications,
Год журнала:
2024,
Номер
6(4)
Опубликована: Янв. 1, 2024
Patients
with
epilepsy
are
characterized
by
a
dysregulation
of
excitation/inhibition
balance
(E/I).
The
assessment
E/I
may
inform
clinicians
during
the
diagnosis
and
therapy
management,
even
though
it
is
rarely
performed.
An
accessible
measure
brain
represents
clinically
relevant
feature.
Here,
we
exploited
exponent
aperiodic
component
power
spectrum
electroencephalography
(EEG)
signal,
as
non-invasive
cost-effective
proxy
balance.
We
recorded
resting-state
activity
high-density
EEG
from
67
patients
temporal
lobe
35
controls.
extracted
fit
source-reconstructed
tested
differences
between
Spearman's
correlation
was
performed
clinical
variables
(age
onset,
duration
neuropsychology)
cortical
expression
epilepsy-related
genes
derived
Allen
Human
Brain
Atlas.
showed
significantly
larger
exponent,
corresponding
to
inhibition-directed
balance,
in
bilateral
frontal
regions.
Lower
left
entorhinal
dorsolateral
prefrontal
cortices
corresponded
lower
performance
short-term
verbal
memory.
Limited
epilepsy,
detected
significant
Human Brain Mapping,
Год журнала:
2024,
Номер
45(10)
Опубликована: Июль 12, 2024
Abstract
Electro/Magneto‐EncephaloGraphy
(EEG/MEG)
source
imaging
(EMSI)
of
epileptic
activity
from
deep
generators
is
often
challenging
due
to
the
higher
sensitivity
EEG/MEG
superficial
regions
and
spatial
configuration
subcortical
structures.
We
previously
demonstrated
ability
coherent
Maximum
Entropy
on
Mean
(cMEM)
method
accurately
localize
cortical
their
extent.
Here,
we
propose
a
depth‐weighted
adaptation
cMEM
more
accurately.
These
methods
were
evaluated
using
realistic
MEG/high‐density
EEG
(HD‐EEG)
simulations
actual
MEG/HD‐EEG
recordings
patients
with
focal
epilepsy.
incorporated
depth‐weighting
within
MEM
framework
compensate
for
its
preference
generators.
also
included
mesh
both
hippocampi,
as
an
additional
structure
in
model.
generated
5400
interictal
discharges
MEG
HD‐EEG
involving
wide
range
extents
signal‐to‐noise
ratio
(SNR)
levels,
before
investigating
EMSI
clinical
16
14
patients.
Clinical
marked
by
visual
inspection.
applied
three
methods:
cMEM,
minimum
norm
estimate
(MNE).
The
ground
truth
was
defined
true
simulated
generator
or
drawn
region
based
information
available
For
sources,
improved
localization
when
compared
MNE,
whereas
did
not
deteriorate
accuracy
regions.
patients'
data,
observed
improvement
especially
mesial
temporal
epilepsy,
which
failed
reconstruct
initial
hippocampus.
Depth
weighting
crucial
(gradiometers)
than
HD‐EEG.
Similar
findings
found
considering
depth
wavelet
extension
MEM.
In
conclusion,
sources
without
minimal
deterioration
sources.
This
extensive
epilepsy
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Авг. 18, 2023
Abstract
A
normative
electrographic
activity
map
could
be
a
powerful
resource
to
understand
normal
brain
function
and
identify
abnormal
activity.
Here,
we
present
using
scalp
EEG
in
terms
of
relative
band
power.
In
this
exploratory
study
investigate
its
temporal
stability,
similarity
other
imaging
modalities,
explore
potential
clinical
application.
We
constructed
maps
dynamics
from
17
healthy
controls
source-localised
resting-state
recordings.
then
correlated
these
with
those
acquired
MEG
intracranial
their
similarity.
Lastly,
use
the
lateralise
regions
epilepsy.
Spatial
patterns
powers
were
broadly
consistent
previous
literature
stable
across
Scalp
most
similar
modalities
alpha
band,
relatively
bands.
Towards
application
epilepsy,
found
ipsilateral
epileptogenic
hemisphere.
power
are
spatially
time,
keeping
results.
Normative
mapping
is
feasible
may
potentially
clinically
useful
Future
studies
larger
sample
sizes
high-density
now
required
for
validation.
Brain Sciences,
Год журнала:
2025,
Номер
15(2), С. 154 - 154
Опубликована: Фев. 4, 2025
Background/Objectives:
The
main
objective
of
this
systematic
review
was
to
explore
the
role
magnetoencephalography
(MEG)
in
diagnosis,
assessment,
and
monitoring
mild
traumatic
brain
injury
(mTBI)
post-concussion
syndrome
(PCS).
We
aimed
evaluate
potential
some
MEG
biomarkers
detecting
subtle
abnormalities
often
missed
by
conventional
imaging
techniques.
Methods:
A
conducted
using
25
studies
that
administered
examine
mTBI
PCS
patients.
quality
assessed
based
on
selection,
comparability,
outcomes.
Studies
were
analyzed
for
their
methodology,
evaluated
parameters,
clinical
implications
diagnosis.
Results:
detected
abnormal
oscillations,
including
increased
delta,
theta,
gamma
waves
disruptions
functional
connectivity,
particularly
default
mode
frontoparietal
networks
patients
suffering
from
mTBI.
consistently
revealed
even
when
structural
normal.
use
recovery
showed
significant
reductions
slow-wave
activity
corresponding
improvements.
Machine
learning
algorithms
applied
data
demonstrated
high
sensitivity
specificity
distinguishing
healthy
controls
predicting
Conclusions:
provides
a
valuable
diagnostic
prognostic
tool
identifying
neurophysiological
abnormalities.
temporal
resolution
ability
assess
make
promising
complement
imaging.
Future
research
should
focus
integrating
with
other
neuroimaging
modalities
standardizing
protocols
use.
Understanding
the
brain's
complex
functions
requires
multimodal
approaches
that
combine
data
from
various
neuroimaging
techniques.
Functional
near-infrared
spectroscopy
(fNIRS)
offers
valuable
insights
into
hemodynamic
responses,
complementing
other
modalities
such
as
electroencephalography
(EEG),
magnetoencephalography
(MEG),
and
magnetic
resonance
imaging.
However,
there
is
a
lack
of
comprehensive
accessible
toolboxes
able
to
integrate
fNIRS
advanced
analyses
with
modalities.
NIRSTORM
addresses
this
gap
by
offering
unified
platform
for
analysis.
aims
provide
user-friendly
environment
analysis
while
supporting
entire
pipeline,
experiment
planning
reconstruction
fluctuations
on
cortex.
Developed
in
MATLAB®,
operates
Brainstorm
plugin,
enhancing
Brainstorm's
capabilities
analyzing
data.
widely
used,
GUI-based
software
originally
designed
statistical
source
imaging
EEG
MEG
supports
conventional
preprocessing
introducing
new
features
optimal
montage
optode
placement
maximum
entropy
mean
(MEM)
reconstructing
cortical
surface.
As
an
open-access
extends
functionality
fNIRS,
bridging
between
EEG/MEG
analyses.
Journal of Clinical Neurophysiology,
Год журнала:
2024,
Номер
41(5), С. 444 - 449
Опубликована: Июнь 25, 2024
Summary:
Stereo-EEG
is
a
widely
used
method
to
improve
the
diagnostic
precision
of
presurgical
workup
in
patients
with
refractory
epilepsy.
Its
ability
detect
epileptic
activity
and
identify
networks
largely
depends
on
chosen
implantation
strategy.
Even
an
ideal
situation,
electrodes
record
generated
<10%
brain
contacts
only
from
tissue
their
immediate
proximity.
In
this
article,
authors
discuss
how
recording
stereo-EEG
simultaneously
other
methods
can
its
value
clinical
research
settings.
It
help
overcome
limited
spatial
coverage
intracranial
better
understand
sources
activity.
Simultaneous
scalp
EEG
most
available
method,
often
large
networks,
seizure
propagation,
occurring
contralateral
hemisphere.
magnetoencephalography
allows
for
more
precise
source
localization
identification
deep
outside
coverage.
Finally,
simultaneous
functional
MRI
highlight
metabolic
changes
following
widespread
network
associated
interictal
This
overview
highlights
advantages
methodological
challenges
all
these
methods.
Clinical
use
applications
are
presented
each
approach.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 31, 2024
ABSTRACT
This
study
presents
BROADband
brain
Network
Estimation
via
Source
Separation
(BROAD-
NESS),
a
novel
method
tailored
for
event-related
designs,
leveraging
magnetoencephalography’s
(MEG)
high
temporal
and
spatial
resolution
to
identify
dynamic
networks
without
predefined
regions.
By
applying
principal
component
analysis
(PCA)
source-reconstructed
MEG
data
from
83
participants
in
long-term
musical
sequence
recognition
task,
BROAD-NESS
captured
more
effectively
than
traditional
approaches,
revealing
two
main
that
explained
88%
of
the
variance.
The
first
network,
involving
auditory
cortices
medial
cingulate
gyrus,
was
associated
with
continuous
processing.
second
encompassing
prefrontal
hippocampal
regions,
inferior
cortex,
insula,
linked
memory,
confirmed
predictions
prediction
error
With
limited
computational
demands
minimal
assumptions,
offers
powerful
tool
studying
dynamics,
enhancing
understanding
memory-related
sequences.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 21, 2022
Abstract
Our
brain
is
constantly
extracting,
predicting,
and
recognising
key
spatiotemporal
features
of
the
physical
world
in
order
to
survive.
While
neural
processing
visuospatial
patterns
has
been
extensively
studied,
hierarchical
mechanisms
underlying
conscious
recognition
auditory
sequences
associated
prediction
errors
remain
elusive.
Using
magnetoencephalography
(MEG),
we
studied
functioning
83
participants
during
previously
memorised
musical
systematic
variations.
The
results
showed
feedforward
connections
originating
from
cortices,
extending
hippocampus,
anterior
cingulate
gyrus,
medial
gyrus.
Simultaneously,
observed
backward
operating
opposite
direction.
Throughout
sequences,
hippocampus
gyrus
maintained
same
level,
except
for
final
tone,
where
assumed
top
position
within
hierarchy.
evoked
responses
variations
engaged
network
but
systematically
differed
terms
temporal
dynamics,
strength,
polarity.
Furthermore,
induced-response
analysis
that
alpha
beta
power
was
stronger
variations,
while
gamma
enhanced
sequences.
This
study
expands
on
predictive
coding
theory
by
providing
quantitative
evidence
memory