bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 28, 2024
Abstract
Non-rapid
eye
movement
(NREM)
sleep
is
characterized
by
the
interaction
of
multiple
coupled
oscillations
essential
for
various
functions
such
as
memory
consolidation,
alongside
a
pervasive
and
dynamic
arrhythmic
1/f
scale-free
background
that
may
also
contribute
to
these
functions.
Although
recent
spectral
parametrization
methods
FOOOF
(Fitting-One-and-Over-f)
allowed
dissociate
rhythmic
components
in
domain,
they
fail
resolve
processes
time
where
instantaneous
measures
frequency,
amplitude,
phase-amplitude
coupling
are
still
confounded
activity.
This
limitation
represents
significant
pitfall
studies
NREM
sleep,
which
often
rely
on
phase-based
analyses
specific
oscillations.
To
address
this
limitation,
we
introduce
‘Rhythms
&
Background’
(RnB),
novel
wavelet-based
methodology
designed
dynamically
denoise
time-series
data
correcting
interference.
enables
extraction
purely
suitable
enhanced
time-domain
rhythms.
We
first
validate
RnB
through
simulations,
demonstrating
its
robust
performance
accurately
estimating
profiles
individual
across
range
conditions.
then
apply
publicly
available
intracranial
EEG
recordings,
showing
it
provides
an
improved
representation
hallmark
Finally,
demonstrate
significantly
enhances
assessment
between
cardinal
oscillations,
outperforming
traditional
conflate
components.
methodological
advance
offers
substantial
improvement
analysis
providing
greater
precision
study
activity
critical
SIGNIFICANCE
STATEMENT
The
Rhythms
Background
(RnB)
algorithm
introduces
approach
signal
processing
electrophysiology
isolating
from
at
level.
Unlike
existing
decomposition
methods,
more
precise
brain
rhythms
both
domains,
clearer
insights
into
cerebral
oscillatory
processes.
breakthrough
has
direct
applications
studying
connectivity
oscillation
dynamics
during
sleep.
Additionally,
application
clinical
populations
pathological
changes
common,
neurodevelopmental
neurodegenerative
disorders,
will
help
better
understand
abnormal
By
improving
accuracy
analysis,
opens
new
avenues
understanding
function
dysfunction
research
settings.
Journal of Educational Computing Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 4, 2025
Cognitive
ability
is
closely
associated
with
the
acquisition
of
programming
skills,
and
enhancing
learners’
cognitive
a
crucial
factor
in
improving
efficacy
education.
Adaptive
feedback
strategies
can
provide
learners
personalized
support
based
on
their
learning
context,
which
helps
to
stimulate
interest
improve
outcomes.
Nevertheless,
it
remains
unclear
whether
adaptive
enhance
learners.
This
study
applies
an
introductory
course
by
designing
quasi-experiment
analyze
reveal
effects
program
from
multiple
modalities,
including
physiological,
psychological,
behavioral
data.
Sixty-five
first-year
university
students
were
randomly
assigned
either
experimental
or
control
groups.
The
group
received
during
process
non-differential
feedback.
findings
demonstrated
that
significantly
enhances
superior
performance
tests,
examinations,
self-efficacy.
Furthermore,
was
found
markedly
processing
learners,
as
evidenced
amplitude
latency
P300
component
EEG
signals,
key-press
reaction
times
accuracy
rates.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(8)
Опубликована: Фев. 20, 2025
Understanding
the
evolving
dynamics
of
brain
throughout
life
is
pivotal
for
anticipating
and
evaluating
individual
health.
While
previous
research
has
described
age
effects
on
spectral
properties
neural
signals,
it
remains
unclear
which
ones
are
most
indicative
age-related
processes.
This
study
addresses
this
gap
by
analyzing
resting-state
data
obtained
from
magnetoencephalography
(MEG)
in
350
adults
(18
to
88
y).
We
employed
advanced
time-series
analysis
at
region
level
machine
learning
predict
age.
traditional
features
achieved
low
moderate
accuracy,
over
a
hundred
proved
superior.
Notably,
temporal
autocorrelation
(AC)
emerged
as
robust
predictor
Distinct
patterns
AC
within
visual
cortex
were
informative,
offering
versatile
measure
signal
changes
comprehensive
health
assessments
based
activity.
Neurobiology of Aging,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Age-related
cognitive
decline
associations
with
human
electroencephalography
(EEG)
have
previously
focused
on
periodic
activity.
However,
EEG
primarily
consists
of
non-oscillatory
aperiodic
activity,
characterised
an
exponent
and
offset
value.
In
a
secondary
analysis
cohort
111
healthy
participants
aged
17
-
71
years,
we
examined
the
in
resting
battery
tests
consisting
Colour-Word
Interference
Test,
Wechsler
Adult
Intelligence
Scale
IV
Digit
Span
Rey
Auditory
Learning
Delis-Kaplan
Executive
Function
System
Trail
Making
Verbal
Fluency
Test.
Using
Principal
Component
Analysis
K-Means
Clustering,
identified
clusters
electrodes
that
exhibited
similar
activity
during
resting-state
eyes-closed
EEG.
Robust
linear
models
were
then
used
to
model
how
interacted
age
their
performance
each
test.
Offset
by
interactions
for
where
smaller
offsets
associated
poorer
adults
as
early
33
years
age.
Greater
is
increasingly
related
better
verbal
fluency
adulthood.
Frontiers in Neuroscience,
Год журнала:
2025,
Номер
19
Опубликована: Апрель 29, 2025
Cognitive
impairment
substantially
impacts
quality
of
life
in
Parkinson's
disease
(PD),
yet
current
biomarker
frameworks
lack
sensitivity
for
detecting
early-stage
cognitive
decline.
While
peak
alpha
frequency
(PAF)
and
power
spectral
density
(PSD)
have
emerged
as
potential
electrophysiological
markers,
prior
studies
primarily
focused
on
global
cortical
measures,
neglecting
region-specific
variations
that
may
better
reflect
the
heterogeneous
nature
PD-related
(PDCOG).
To
address
this
gap,
we
conducted
first
multiregional
comparative
analysis
PAF
PSD
between
PDCOG
PD
with
normal
cognition
patients
(PDNC).
Data
from
76
participants
(44
PD,
32
healthy
controls)
at
The
Affiliated
Rehabilitation
Hospital
Fujian
University
Traditional
Chinese
Medicine
(March-July
2024)
were
analyzed.
computed
across
brain
regions;
function
was
assessed
via
MoCA.
Global
reduced
vs.
controls
(p
<
0.05)
correlated
cognition.
showed
lower
parieto-occipital/posterior
temporal
regions
(P3,
P4,
O1,
T5,
T6,
PZ)
PDNC
0.05),
these
positively
correlating
MoCA
scores.
ROC
identified
P3,
PZ,
T6
optimal
discriminators
(AUC:
0.77-0.758).
Executive
inversely
right
posterior
temporal/left
occipital
regions.
differentiates
links
to
cognition,
while
regional
(notably
T6)
effectively
distinguishes
PDNC.
These
findings
underscore
QEEG's
utility
assessment,
though
limitations
warrant
optimization.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 26, 2025
Abstract
Transcranial
photobiomodulation
(tPBM)
is
a
novel
and
non-invasive
brain
stimulation
technique
for
promising
cognitive
improvement.
yet
the
mechanisms
underlying
its
modulation
of
human
function
remain
unclear.
In
this
study,
three
double-blind
sham-controlled
experiments
were
conducted
to
investigate
effects
tPBM
irradiance,
duration,
total
energy
on
neural
dynamics.
We
recorded
electroencephalography
(EEG)
101
adults
during
intervention
assessed
EEG
power,
individual
alpha
peak
frequency
(IAPF),
weighted
phase
lag
index
(wPLI)
explore
mechanisms.
Results
revealed
that
moderate
doses
delayed
decline
in
parietal-occipital
IAPF,
whereas
higher
irradiance
enhanced
whole-brain
connectivity
indexed
by
wPLI.
Our
study
provides
consistent
evidence
across
dynamics
are
dose-dependent:
resulted
regional
IAPF
stabilization
linked
alertness,
led
global
increased
functional
associated
with
integration.
This
dose-response
duality
highlights
importance
tailoring
parameters
optimize
therapeutic
outcomes.
SpecParam
(formally
known
as
FOOOF)
allows
for
the
refined
measurements
of
electroencephalography
periodic
and
aperiodic
activity,
potentially
provides
a
non-invasive
measurement
excitation:
inhibition
balance.
However,
little
is
about
psychometric
properties
this
technique.
This
integral
understanding
usefulness
tool
to
determine
differences
in
cognitive
function,
activity.
We
used
intraclass
correlation
coefficients
examine
test-retest
reliability
parameterized
activity
across
three
sessions
(90
minutes
apart
30
days
later)
49
healthy
young
adults
at
rest
with
eyes
open,
closed,
during
closed
tasks
including
subtraction
(Math),
music
recall
(Music),
episodic
memory
(Memory).
Intraclass
were
good
exponent
offset
(intraclass
>
0.70)
0.66
alpha
beta
power,
central
frequency,
bandwidth)
conditions.
Across
all
sessions,
performed
poorly
open
(40%
participants
had
poor
fits
over
non-central
sites)
mostly
reliable
metrics
individual
neural
More
work
needed
understand
suitability
resting
data
parameterization
using
SpecParam.