Brain Communications,
Journal Year:
2024,
Volume and Issue:
6(4)
Published: Jan. 1, 2024
Abstract
Electrophysiologic
disturbances
due
to
neurodegenerative
disorders
such
as
Alzheimer’s
disease
and
Lewy
Body
are
detectable
by
scalp
EEG
can
serve
a
functional
measure
of
severity.
Traditional
quantitative
methods
analysis
often
require
an
a-priori
selection
clinically
meaningful
features
susceptible
bias,
limiting
the
clinical
utility
routine
EEGs
in
diagnosis
management
disorders.
We
present
data-driven
tensor
decomposition
approach
extract
top
6
spectral
spatial
representing
commonly
known
sources
activity
during
eyes-closed
wakefulness.
As
part
their
neurologic
evaluation
at
Mayo
Clinic,
11
001
patients
underwent
12
176
routine,
standard
10–20
studies.
From
these
raw
EEGs,
we
developed
algorithm
based
on
posterior
alpha
eye
movement
automatically
select
awake-eyes-closed
epochs
estimated
average
power
density
(SPD)
between
1
45
Hz
for
each
channel.
then
created
three-dimensional
(3D)
(record
×
channel
frequency)
applied
canonical
polyadic
six
factors.
further
identified
independent
cohort
meeting
consensus
criteria
mild
cognitive
impairment
(30)
or
dementia
(39)
with
Bodies
(31)
similarly
aged
cognitively
normal
controls
(36).
evaluated
ability
factors
differentiating
subgroups
using
Naïve
Bayes
classification
assessed
linear
associations
factor
loadings
Kokmen
short
test
mental
status
scores,
fluorodeoxyglucose
(FDG)
PET
uptake
ratios
CSF
Disease
biomarker
measures.
Factors
represented
biologically
brain
activities
including
rhythm,
anterior
delta/theta
rhythms
centroparietal
beta,
which
correlated
patient
age
dysrhythmia
grade.
These
were
also
able
distinguish
from
moderate
high
degree
accuracy
(Area
Under
Curve
(AUC)
0.59–0.91)
(AUC
0.61).
Furthermore,
relevant
performance,
metabolism
AB42
measures
subgroup.
This
study
demonstrates
that
approaches
population-level
without
artefact
rejection
channels
frequency
bands.
With
continued
development,
may
improve
memory
care
assisting
early
identification
different
causes
impairment.
Biomedicines,
Journal Year:
2023,
Volume and Issue:
11(6), P. 1607 - 1607
Published: June 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,
Journal Year:
2023,
Volume and Issue:
17
Published: Aug. 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,
Journal Year:
2022,
Volume and Issue:
263, P. 119595 - 119595
Published: Aug. 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,
Journal Year:
2024,
Volume and Issue:
21(1), P. 016014 - 016014
Published: Jan. 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,
Journal Year:
2024,
Volume and Issue:
2, P. 1 - 24
Published: April 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,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: April 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,
Journal Year:
2024,
Volume and Issue:
289, P. 120550 - 120550
Published: Feb. 20, 2024
Visual
crowding
is
the
difficulty
in
identifying
an
object
when
surrounded
by
neighbouring
flankers,
representing
a
bottleneck
for
perception.
Crowding
arises
not
only
from
activity
of
visual
areas
but
also
parietal
and
fronto-parietal
network
activity.
Parietal
would
provide
dorsal-to-ventral
guidance
identification
modulate
attentional
resolution.
Several
studies
highlighted
relevance
beta
oscillations
(15-25
Hz)
these
other
connatural
phenomena.
In
present
study,
we
investigated
differential
contribution
cortex
resolution
crowding.
During
task
with
letter
stimuli,
high-definition
transcranial
Alternating
Current
Stimulation
(tACS)
band
(18
was
delivered
bilaterally
on
sites,
right
network,
sham
regime.
Resting-state
EEG
recorded
before
after
stimulation
to
measure
tACS-induced
aftereffects.
The
influence
reduced
tACS
sites.
this
condition,
power
stimulation.
Furthermore,
magnitude
aftereffects
varied
as
function
individual
differences
oscillations.
Results
corroborate
link
between
crowding,
providing
fundamental
insights
brain
rhythms
underlying
perception
suggesting
that
can
induce
plastic
changes
areas.
Remarkably,
findings
open
new
possibilities
neuromodulatory
interventions
disorders
characterised
abnormal
such
dyslexia.
Integrative Psychological and Behavioral Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 20, 2024
Abstract
The
concept
of
free
will
has
challenged
physicists,
biologists,
philosophers,
and
other
professionals
for
decades.
constrained
disorder
principle
(CDP)
is
a
fundamental
law
that
defines
systems
according
to
their
inherent
variability.
It
provides
mechanisms
adapting
dynamic
environments.
This
work
examines
the
CDP's
perspective
concerning
various
theories.
Per
CDP,
lack
intentions,
"freedom"
select
act
built
into
design.
embedded
within
response
range
determined
by
boundaries
systems'
built-in
self-generating
mechanism
enables
cope
with
perturbations.
According
neither
dualism
nor
an
unknown
metaphysical
apparatus
dictates
choices.
Brain
variability
facilitates
cognitive
adaptation
complex,
unpredictable
situations
across
Human
behaviors
decisions
reflect
underlying
physical
in
brain
organs
dealing
noises.
Choices
are
not
predetermined
but
ongoing
processes
prssu½res.
Malfunctions
disease
states
characterized
inappropriate
variability,
reflecting
inability
respond
adequately
Incorporating
CDP-based
interventions
can
overcome
malfunctions
improve
decision
processes.
second-generation
artificial
intelligence
platforms
being
evaluated
augment
personal
development,
wellness,
health.