Research in Developmental Disabilities,
Journal Year:
2024,
Volume and Issue:
146, P. 104693 - 104693
Published: Feb. 6, 2024
Attention-deficit/hyperactivity
disorder
(ADHD)
is
a
prevalent
neurodevelopmental
disorder.
Although
data
show
ADHD
associated
with
sleep
problems,
approaches
to
analyze
the
association
between
and
electrophysiology
are
limited
few
methods
circumscribed
foci.
Sleep
EEG
was
analyzed
by
mixed-radix
FFT
routine
power
spectrum
parametrization
in
adolescents
not
at-risk
for
ADHD.
Spectral
components
of
were
employing
novel,
model-based
approach
spectra.
The
DREEM
mobile
polysomnography
headband
used
record
home
from
19
medication-free
29
(overall:
N
=
56,
age
range
14–19
years)
groups
compared
on
characteristics
NREM
sleep.
Adolescents
exhibited
lower
frequency
spectral
peaks
indicating
spindle
oscillations
whereas
showed
slow
beta
ranges.
observed
between-groups
difference
might
indicate
delayed
brain
maturity
unraveled
during
Neuroinformatics,
Journal Year:
2022,
Volume and Issue:
20(4), P. 991 - 1012
Published: April 7, 2022
Electrophysiological
power
spectra
typically
consist
of
two
components:
An
aperiodic
part
usually
following
an
1/f
law
[Formula:
see
text]
and
periodic
components
appearing
as
spectral
peaks.
While
the
investigation
parts,
commonly
referred
to
neural
oscillations,
has
received
considerable
attention,
study
only
recently
gained
more
interest.
The
is
quantified
by
center
frequencies,
powers,
bandwidths,
while
parameterized
y-intercept
exponent
text].
For
either
part,
however,
it
essential
separate
components.
In
this
article,
we
scrutinize
frequently
used
methods,
FOOOF
(Fitting
Oscillations
&
One-Over-F)
IRASA
(Irregular
Resampling
Auto-Spectral
Analysis),
that
are
from
component.
We
evaluate
these
methods
using
diverse
obtained
with
electroencephalography
(EEG),
magnetoencephalography
(MEG),
local
field
potential
(LFP)
recordings
relating
three
independent
research
datasets.
Each
method
each
dataset
poses
distinct
challenges
for
extraction
both
parts.
specific
features
hindering
separation
highlighted
simulations
emphasizing
features.
Through
comparison
simulation
parameters
defined
a
priori,
parameterization
error
quantified.
Based
on
real
simulated
spectra,
advantages
discuss
common
challenges,
note
which
impede
separation,
assess
computational
costs,
propose
recommendations
how
use
them.
eNeuro,
Journal Year:
2024,
Volume and Issue:
11(3), P. ENEURO.0259 - 23.2024
Published: March 1, 2024
Nonoscillatory
measures
of
brain
activity
such
as
the
spectral
slope
and
Lempel–Ziv
complexity
are
affected
by
many
neurological
disorders
modulated
sleep.
A
multitude
frequency
ranges,
particularly
a
broadband
(encompassing
full
spectrum)
narrowband
approach,
have
been
used
especially
for
estimating
slope.
However,
effects
choosing
different
ranges
not
yet
explored
in
detail.
Here,
we
evaluated
impact
sleep
stage
task
engagement
(resting,
attention,
memory)
on
(30–45
Hz)
(1–45
range
28
healthy
male
human
subjects
(21.54
±
1.90
years)
using
within-subject
design
over
2
weeks
with
three
recording
nights
days
per
subject.
We
strived
to
determine
how
states
affect
two
perform
comparison.
In
range,
steepened,
decreased
continuously
from
wakefulness
N3
REM
sleep,
however,
was
best
discriminated
Importantly,
also
differed
between
tasks
during
wakefulness.
While
engagement,
flattened
both
ranges.
Interestingly,
only
positively
correlated
performance.
Our
results
show
that
sensitive
indices
state
variations
yields
more
information
could
be
greater
variety
research
questions
than
complexity,
when
is
used.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 28, 2025
Abstract
Recent
animal
research
has
revealed
the
intricate
dynamics
of
arousal
levels
that
are
important
for
maintaining
proper
sleep
resilience
and
memory
consolidation.
In
humans,
changes
in
level
believed
to
be
a
determining
characteristic
healthy
pathological
but
tracking
fluctuations
been
methodologically
challenging.
Here
we
measured
pupil
size,
an
established
indicator
levels,
by
safely
taping
right
eye
open
during
overnight
tested
whether
size
affects
cortical
response
auditory
stimulation.
We
show
change
as
function
events
across
different
temporal
scales.
particular,
our
results
inversely
related
occurrence
spindle
clusters,
marker
resilience.
Additionally,
found
prior
stimulation
influence
evoked
response,
most
notably
delta
power,
several
restorative
regenerative
functions
sleep.
Recording
provides
insights
into
interplay
between
oscillations.
Progress in Neurobiology,
Journal Year:
2024,
Volume and Issue:
234, P. 102589 - 102589
Published: March 1, 2024
Homeostatic,
circadian
and
ultradian
mechanisms
play
crucial
roles
in
the
regulation
of
sleep.
Evidence
suggests
that
ratios
low-to-high
frequency
power
electroencephalogram
(EEG)
spectrum
indicate
instantaneous
level
sleep
pressure,
influenced
by
factors
such
as
individual
sleep-wake
history,
current
stage,
age-related
differences
brain
topography
characteristics.
These
effects
are
well
captured
reflected
spectral
exponent,
a
composite
measure
constant
ratio
periodogram,
which
is
scale-free
exhibits
lower
interindividual
variability
compared
to
slow
wave
activity,
potentially
serving
suitable
standardization
reference
measure.
Here
we
propose
an
index
homeostasis
based
on
reflecting
membrane
hyperpolarization
and/or
network
bistability
central
nervous
system
humans.
In
addition,
advance
idea
U-shaped
overnight
deceleration
oscillatory
fast
spindle
frequencies
marks
biological
night,
providing
somnologists
with
EEG-index
regulation.
supporting
this
assertion
comes
from
studies
replacement,
forced
desynchrony
protocols
high-resolution
analyses
spindles.
Finally,
regulatory
indicated
recurrent,
abrupt
shifts
dominant
frequencies,
ranges
signifying
non-rapid
eye
movement
non-spindle
oscillations
–
rapid
phases
cycles.
Reconsidering
indicators
fundamental
processes
framework
new
Fractal
Oscillatory
Adjustment
Model
(FOAM)
offers
appealing
opportunity
bridge
gap
between
two-process
model
clinical
somnology.
PLoS Biology,
Journal Year:
2025,
Volume and Issue:
23(1), P. e3002962 - e3002962
Published: Jan. 21, 2025
A
single
exposure
to
a
stressful
event
can
result
in
enduring
changes
behaviour.
Long-term
modifications
neuronal
networks
induced
by
stress
are
well
explored
but
the
initial
steps
leading
these
alterations
remain
incompletely
understood.
In
this
study,
we
found
that
acute
triggers
an
immediate
increase
firing
activity
of
calretinin-positive
neurons
paraventricular
thalamic
nucleus
(PVT/CR+)
persists
for
several
days
mice.
This
had
causal
role
stress-induced
spontaneous
Attenuating
PVT/CR+
only
1
h
after
rescued
both
protracted
rate
and
behavioural
alterations.
Activation
key
forebrain
targets
(basolateral
amygdala,
prelimbic
cortex,
accumbens)
mediate
defensive
behaviour
has
also
been
reduced
post-stress
inhibition.
Reduction
cell
5
later
remained
still
effective
ameliorating
The
results
demonstrate
critical
prolonged,
shaping
associated
with
stress.
Our
data
proposes
therapeutic
window
intervention
stress-related
disorders,
offering
potential
avenues
targeted
treatment
strategies.
Frontiers in Neuroinformatics,
Journal Year:
2022,
Volume and Issue:
16
Published: Oct. 3, 2022
Power
spectra
of
sleep
electroencephalograms
(EEG)
comprise
two
main
components:
a
decaying
power-law
corresponding
to
the
aperiodic
neural
background
activity,
and
spectral
peaks
present
due
oscillations.
"Traditional"
band-based
methods
ignore
this
fundamental
structure
EEG
thus
are
susceptible
misrepresenting
underlying
phenomena.
A
fitting
method
that
attempts
separate
parameterize
periodic
components
called
"fitting
oscillations
one
over
f"
(FOOOF)
was
applied
set
annotated
whole-night
recordings
251
subjects
from
wide
age
range
(4-69
years).
Most
extracted
parameters
exhibited
stage
sensitivity;
significant
effects
interactions
stage,
age,
sex,
brain
region
were
found.
The
slope
(describing
steepness
component)
showed
especially
large
consistent
variability
between
stages
(and
low
subjects),
making
it
candidate
indicator
states.
limitations
arisen
problems
FOOOF
also
discussed,
possible
solutions
for
some
them
suggested.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
277, P. 120264 - 120264
Published: July 1, 2023
During
development,
the
brain
undergoes
radical
structural
and
functional
changes
following
a
posterior-to-anterior
gradient,
associated
with
profound
of
cortical
electrical
activity
during
both
wakefulness
sleep.
However,
systematic
assessment
developmental
effects
on
aperiodic
EEG
maturation
across
vigilance
states
is
lacking,
particularly
regarding
its
topographical
aspects.
Here,
in
population
160
healthy
infants,
children
teenagers
(from
2
to
17
years,
10
subjects
for
each
year),
we
investigated
development
Specifically,
parameterized
shape
background
Power
Spectral
Density
(PSD)
by
means
spectral
exponent
offset;
reflects
rate
exponential
decay
power
over
increasing
frequencies
offset
an
estimate
y-intercept
PSD.
We
found
that
sleep
caused
EEG-PSD
rotate
opposite
directions:
PSD
showed
flatter
reduced
while
it
steeper
higher
as
becomes
deeper.
deep
(N2,
N3)
only
decreased
age,
indexing
broad-band
voltage
reduction.
As
result,
difference
between
values
those
light
(N1)
increased
suggesting
progressive
differentiation
from
activity,
most
prominent
frontal
regions,
latest
complete
maturation.
Notably,
stages
were
entirely
separated
values,
consistently
ages
line
previous
findings
adults.
Concerning
location
showing
steepest
largest
shifted
posterior
anterior
regions
age.
This
shift,
evident
sleep,
paralleled
migration
slow
wave
was
consistent
neuroanatomical
cognitive
development.
Overall,
distinguishes
regardless
age;
while,
reveals
postero-anterior
Our
study
could
help
interpret
due
pathological
conditions
may
elucidate
neurophysiological
processes
underlying
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 26, 2024
Abstract
The
aperiodic
(1/f-like)
component
of
electrophysiological
data
-
whereby
power
systematically
decreases
with
increasing
frequency,
as
quantified
by
the
exponent
has
been
shown
to
differentiate
sleep
stages.
Earlier
work,
however,
typically
focused
on
measuring
across
a
narrow
frequency
range.
In
this
we
sought
further
investigate
activity
during
extending
these
analyses
broader
ranges
and
considering
alternate
model
definitions.
This
included
‘knees’
in
component,
which
reflect
bends
spectrum,
indicating
change
exponent.
We
also
evaluate
temporal
dynamics
sleep.
To
do
so,
analyzed
from
two
sources:
intracranial
EEG
(iEEG)
106
epilepsy
patients
high-density
17
healthy
individuals,
measured
activity,
explicitly
comparing
different
forms.
doing
find
that
fitting
broadband
models
incorporating
‘knee’
feature
effectively
captures
sleep-stage-dependent
differences
well
relate
stage
transitions
responses
external
stimuli.
particular,
knee
parameter
shows
stage-specific
variation,
suggesting
an
interpretation
varying
timescales
These
results
demonstrate
examining
more
complex
reveals
novel
insights
interpretations
for
understanding
neural
Scientific Reports,
Journal Year:
2022,
Volume and Issue:
12(1)
Published: Nov. 1, 2022
Abstract
Unfolding
the
overnight
dynamics
in
human
sleep
features
plays
a
pivotal
role
understanding
regulation.
Studies
revealed
complex
reorganization
of
frequency
composition
electroencephalogram
(EEG)
during
course
sleep,
however
scale-free
and
oscillatory
measures
remained
undistinguished
improperly
characterized
before.
By
focusing
on
first
four
non-rapid
eye
movement
(NREM)
periods
night
records
251
healthy
subjects
(4–69
years),
here
we
reveal
flattening
spectral
slopes
decrease
several
intercepts
consecutive
cycles.
Slopes
are
significant
predictors
slow
wave
activity
(SWA),
gold
standard
measure
intensity.
The
increase
peak
sizes
(amplitudes
relative
to
spectra)
broad
sigma
range
is
paralleled
by
U-shaped
time
frequencies
frontopolar
regions.
Although,
set
indices
analyzed
herein
reproduce
known
age-
sex-effects,
interindividual
variability
slope
steepness
lower
as
compared
SWA.
Findings
indicate
that
distinct
EEG
could
provide
composite
with
low
redundancy,
potentially
affording
new
insights
into
regulatory
processes
future
studies.