Medicina,
Год журнала:
2025,
Номер
61(3), С. 547 - 547
Опубликована: Март 20, 2025
Alzheimer’s
disease
(AD),
the
most
prevalent
form
of
dementia,
is
marked
by
progressive
cognitive
decline,
affecting
memory,
language,
orientation,
and
behavior.
Pathological
hallmarks
include
extracellular
amyloid
plaques
intracellular
tau
tangles,
which
disrupt
synaptic
function
connectivity.
Neural
oscillations,
rhythmic
synchronization
neuronal
activity
across
frequency
bands,
are
integral
to
processes
but
become
dysregulated
in
AD,
contributing
network
dysfunction
memory
impairments.
Targeting
these
oscillations
has
emerged
as
a
promising
therapeutic
strategy.
Preclinical
studies
have
demonstrated
that
specific
modulations
can
restore
oscillatory
balance,
improve
plasticity,
reduce
pathology.
In
animal
models,
interventions,
such
gamma
entrainment
using
sensory
stimulation
transcranial
alternating
current
(tACS),
shown
efficacy
enhancing
modulating
neuroinflammatory
responses.
Clinical
trials
reported
improvements
with
repetitive
magnetic
(rTMS)
deep
brain
(DBS),
particularly
when
targeting
key
hubs
memory-related
networks,
default
mode
(DMN)
frontal–parietal
network.
Moreover,
gamma-tACS
been
linked
increased
cholinergic
enhanced
connectivity,
correlated
improved
outcomes
AD
patients.
Despite
advancements,
challenges
remain
optimizing
parameters,
individualizing
treatment
protocols,
understanding
long-term
effects.
Emerging
approaches,
including
pulse
(TPS)
closed-loop
adaptive
neuromodulation,
hold
promise
for
refining
strategies.
Integrating
neuromodulation
pharmacological
lifestyle
interventions
may
maximize
benefits.
Continued
interdisciplinary
efforts
essential
refine
approaches
translate
them
into
clinical
practice,
advancing
potential
neural
oscillation-based
therapies
AD.
Biomedicines,
Год журнала:
2023,
Номер
11(6), С. 1607 - 1607
Опубликована: Июнь 1, 2023
Developmental
Dyslexia
(DD)
is
a
neurobiological
condition
affecting
the
ability
to
read
fluently
and/or
accurately.
Analyzing
resting-state
electroencephalographic
(EEG)
activity
in
DD
may
provide
deeper
characterization
of
underlying
pathophysiology
and
possible
biomarkers.
So
far,
studies
investigating
provided
limited
evidence
did
not
consider
aperiodic
component
power
spectrum.
In
present
study,
adults
with
(n
=
26)
without
31)
underwent
reading
skills
assessment
EEG
investigate
potential
alterations
activity,
their
impact
on
periodic
counterpart
performance.
parieto-occipital
channels,
participants
showed
significantly
different
as
indexed
by
flatter
lower
These
measures
were
related
text
time,
suggesting
link
individual
differences
difficulties.
beta
band,
group
decreased
aperiodic-adjusted
compared
typical
readers,
which
was
correlated
word
accuracy.
Overall,
here
we
showing
endogenous
consistently
increased
neural
noise
hypothesis.
addition,
confirm
rhythms,
are
discussed
terms
magnocellular-dorsal
stream
deficit.
Frontiers in Human Neuroscience,
Год журнала:
2023,
Номер
17
Опубликована: Авг. 14, 2023
Over
the
past
decades,
among
all
non-invasive
brain
stimulation
(NIBS)
techniques,
those
aiming
for
neuromodulatory
protocols
have
gained
special
attention.
The
traditional
neurophysiological
outcome
to
estimate
effect
is
motor
evoked
potential
(MEP),
impact
of
NIBS
techniques
commonly
estimated
as
change
in
MEP
amplitude.
This
approach
has
several
limitations:
first,
use
limits
evaluation
cortex
excluding
other
areas.
Second,
an
indirect
measure
activity
and
influenced
by
factors.
To
overcome
these
limitations
studies
used
new
outcomes
changes
after
neuromodulation
with
concurrent
transcranial
magnetic
(TMS)
electroencephalogram
(EEG).
In
present
review,
we
examine
that
TMS-EEG
before
a
single
session
TMS.
Then,
focused
our
literature
research
on
description
different
metrics
derived
from
neuromodulation.
NeuroImage,
Год журнала:
2022,
Номер
263, С. 119595 - 119595
Опубликована: Авг. 27, 2022
Accurate
temporal
modelling
of
functional
brain
networks
is
essential
in
the
quest
for
understanding
how
such
facilitate
cognition.
Researchers
are
beginning
to
adopt
time-varying
analyses
electrophysiological
data
that
capture
highly
dynamic
processes
on
order
milliseconds.
Typically,
these
approaches,
as
clustering
connectivity
profiles
and
Hidden
Markov
Modelling
(HMM),
assume
mutual
exclusivity
over
time.
Whilst
a
powerful
constraint,
this
assumption
may
be
compromising
ability
approaches
describe
effectively.
Here,
we
propose
new
generative
model
linear
mixture
spatially
distributed
statistical
"modes".
The
evolution
governed
by
recurrent
neural
network,
which
enables
generate
with
rich
structure.
We
use
Bayesian
framework
known
amortised
variational
inference
learn
parameters
from
observed
data.
call
approach
DyNeMo
(for
Dynamic
Network
Modes),
show
using
simulations
it
outperforms
HMM
when
violated.
In
resting-state
MEG,
reveals
modes
activate
fast
time
scales
100–150
ms,
similar
state
lifetimes
found
an
HMM.
task
MEG
data,
finds
plausible,
task-dependent
evoked
responses
without
any
knowledge
timings.
Overall,
provides
decompositions
approximate
remapping
HMM's
while
showing
improvements
overall
explanatory
power.
However,
magnitude
suggests
can
reasonable
practice.
Nonetheless,
flexible
implementing
assessing
future
developments.
Journal of Neural Engineering,
Год журнала:
2024,
Номер
21(1), С. 016014 - 016014
Опубликована: Янв. 18, 2024
Abstract
Objective.
Recent
trends
in
brain–computer
interface
(BCI)
research
concern
the
passive
monitoring
of
brain
activity,
which
aim
to
monitor
a
wide
variety
cognitive
states.
Engagement
is
such
state,
interest
contexts
as
learning,
entertainment
or
rehabilitation.
This
study
proposes
novel
approach
for
real-time
estimation
engagement
during
different
tasks
using
electroencephalography
(EEG).
Approach.
Twenty-three
healthy
subjects
participated
BCI
experiment.
A
modified
version
d2
test
was
used
elicit
engagement.
Within-subject
classification
models
discriminate
between
engaging
and
resting
states
were
trained
based
on
EEG
recorded
paradigm.
The
eight
electrodes
model
filter-bank
common
spatial
patterns
linear
discriminant
analysis.
evaluated
cross-task
applications,
namely
when
playing
Tetris
at
speeds
(i.e.
slow,
medium,
fast)
watching
two
videos
advertisement
landscape
video).
Additionally,
subjects’
perceived
quantified
questionnaire.
Main
results.
achieved
accuracy
90%
average
tested
an
independent
paradigm
recording.
Subjects’
estimated
found
be
greater
compared
video
(
p
=
0.025
<
0.001,
respectively);
medium
fast
slow
speed
not
speeds.
relationship
observed
r
rm
0.44,
0.001).
Finally,
theta
alpha
band
powers
investigated,
respectively
increased
decreased
more
Significance.
task-specific
with
capabilities,
offering
framework
real-world
applications.
Imaging Neuroscience,
Год журнала:
2024,
Номер
2, С. 1 - 24
Опубликована: Апрель 1, 2024
Abstract
It
has
been
shown
that
cessation
of
intensive
sensory
stimulation
is
associated
with
a
transient
increase
in
functional
inhibition
the
cortical
areas.
However,
electrophysiological
correlates
this
post-stimulus
human
brain
have
not
thoroughly
investigated.
To
investigate
inhibition,
we
analyzed
magnetoencephalogram
(MEG)
recorded
at
rest
and
after
visual
varying
intensity
(high-contrast
gratings
drifting
slow,
medium,
or
high
rate)
25
healthy
women
aged
18–40
years.
We
condition-
intensity-related
changes
MEG
parameters
sensitive
to
inhibition:
periodic
alpha-beta
power,
peak
alpha
frequency
(PAF),
1/f
aperiodic
slope.
also
investigated
association
these
sensitivity
avoidance
assessed
by
questionnaire.
evaluate
influence
hormonal
status
on
studied
parameters,
participants
were
examined
twice,
during
follicular
luteal
phases
menstrual
cycle
(MC).
Regardless
MC
phase,
increasing
drift
rate
resulted
proportional
posterior
PAF,
negative
shift
(1/f)
slope
power
spectrum
high-frequency
range.
Compared
rest,
periods
characterized
higher
more
areas,
widespread
beta
power.
While
drift-rate-dependent
modulations
correlated,
PAF
did
correlate
either
them.
A
greater
intensity-dependent
predicted
subjective
sensitivity/avoidance,
suggesting
stronger
regulatory
top-down
modulation
cortex
individuals
heightened
sensitivity.
Our
results
show
several
concordantly
indicate
enhancement
preceding
stimulation.
may
share
some
common
mechanisms,
reflect
distinct
aspect
inhibitory
regulation.
inform
potential
inhibition-based
biomarkers
for
clinical
translational
research.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Апрель 26, 2024
Traveling
waves
and
neural
oscillation
frequency
gradients
are
pervasive
in
the
human
cortex.
While
direction
of
traveling
has
been
linked
to
brain
function
dysfunction,
factors
that
determine
this
remain
elusive.
We
hypothesized
structural
connectivity
instrength
-
defined
as
gradually
varying
sum
incoming
connection
strengths
across
cortex
could
shape
both
wave
gradients.
confirm
presence
connectome
diverse
cohorts
parcellations.
Using
a
cortical
network
model,
we
demonstrate
how
these
direct
Our
model
fits
resting-state
MEG
functional
best
regime
where
instrength-directed
emerge.
further
show
subnetworks
generate
opposing
directions
observed
alpha
beta
bands.
findings
suggest
affect
NeuroImage,
Год журнала:
2023,
Номер
274, С. 120158 - 120158
Опубликована: Май 5, 2023
Magnetoencephalography
(MEG)
is
a
widely
used
non-invasive
tool
to
estimate
brain
activity
with
high
temporal
resolution.
However,
due
the
ill-posed
nature
of
MEG
source
imaging
(MSI)
problem,
ability
MSI
identify
accurately
underlying
sources
along
cortical
surface
still
uncertain
and
requires
validation.
We
validated
background
resting
state
45
healthy
participants
by
comparing
it
intracranial
EEG
(iEEG)
atlas
(https://mni-open-ieegatlas.research.mcgill.ca/).
First,
we
applied
wavelet-based
Maximum
Entropy
on
Mean
(wMEM)
as
an
technique.
Next,
converted
maps
into
space
applying
forward
model
MEG-reconstructed
maps,
estimated
virtual
iEEG
(ViEEG)
potentials
each
channel
location;
finally
quantitatively
compared
those
actual
signals
from
for
38
regions
interest
in
canonical
frequency
bands.
The
spectra
were
more
lateral
medial
regions.
higher
amplitude
ViEEG
than
recovered.
In
deep
regions,
MEG-estimated
amplitudes
largely
underestimated
poorly
Overall,
our
wMEM
results
similar
obtained
minimum
norm
or
beamformer
localization.
Moreover,
overestimated
oscillatory
peaks
alpha
band,
especially
anterior
This
possibly
phase
synchronization
oscillations
over
extended
exceeding
spatial
sensitivity
but
detected
MEG.
Importantly,
found
that
comparable
after
aperiodic
components
removed.
study
identifies
frequencies
which
analysis
likely
be
reliable,
promising
step
towards
resolving
uncertainty
recovering
intracerebral
studies.
Frontiers in Psychology,
Год журнала:
2023,
Номер
14
Опубликована: Дек. 13, 2023
Neural
oscillations
in
alpha
(8–12
Hz)
and
beta
(13–30
frequency
bands
are
thought
to
reflect
feedback/reentrant
loops
large-scale
cortical
interactions.
In
the
last
decades
a
main
effort
has
been
made
linking
perception
with
alpha-band
oscillations,
converging
evidence
showing
that
have
key
role
temporal
featural
binding
of
visual
input,
configuring
rhythm
determinant
conscious
experience.
Less
attention
historically
dedicated
link
processing.
Nonetheless,
increasing
studies
report
task
conditions
require
segregate/integrate
stimuli
space,
disentangle
local/global
shapes,
spatially
reorganize
inputs,
achieve
motion
or
form-motion
integration,
rely
on
activity
hub
parietal
areas.
present
review,
we
summarize
within
band
perception.
We
propose
represent
neural
code
supports
functionality
magnocellular-dorsal
(M-D)
pathway,
serving
as
fast
primary
exert
top-down
influences
slower
parvocellular-ventral
pathway
activity.
Such
M-D-related
is
proposed
act
mainly
pre-consciously,
providing
spatial
coordinates
vision
guiding
extraction
objects
identity
achieved
rhythms
ventral
Finally,
this
new
theoretical
framework,
discuss
potential
visuo-spatial
attention,
oculo-motor
behavior
reading
(dis)abilities.