NeuroImage,
Год журнала:
2025,
Номер
unknown, С. 121231 - 121231
Опубликована: Апрель 1, 2025
Biological
sex
profoundly
shapes
brain
function,
yet
its
precise
influence
on
neural
oscillations
was
poorly
understood.
Despite
decades
of
research,
studies
investigating
sex-based
variations
in
electroencephalographic
(EEG)
signals
have
yielded
inconsistent
findings
that
obstructs
what
may
be
a
potentially
crucial
source
inter-individual
variability
function.
To
address
this,
we
analyzed
five
publicly
available
resting-state
datasets,
comprising
EEG
data
(n=445)
and
iEEG
(n=103).
Three
age
ranges
were
defined,
young
adult
(YA,
18-30
years),
middle-aged
(MA,
30-55
years)
older
(OA,
55-75
years).
Our
results
revealed
striking
age-dependent
differences:
OA
group
exhibited
robust
differences,
with
males
showing
heightened
low
alpha
(8-9
Hz)
activity
temporal
regions
attenuated
beta
(16-20
parietal-occipital
areas
compared
to
females.
Intriguingly,
these
sex-specific
patterns
absent
YA
group,
suggesting
complex
interplay
between
aging
shaping
dynamics.
The
MA
groups
fall
group.
increase
band
female
adults
is
strongly
associated
hip
size
BMI.
Furthermore,
identified
consistent
sex-related
the
precentral
gyrus
scalp
EEG,
driving
observed
differences.
This
multi-level
analysis
allowed
us
bridge
gap
cortical
scalp-level
observations,
providing
more
comprehensive
picture
distinct
associations
oscillatory
several
lifestyle
factors
demonstrates
sex,
age,
oscillations,
revealing
highlight
importance
careful
demographic
consideration
research
design
ensure
fairness
capturing
full
spectrum
neurophysiological
diversity.
Developmental Cognitive Neuroscience,
Год журнала:
2021,
Номер
50, С. 100969 - 100969
Опубликована: Май 31, 2021
Intrinsic,
unconstrained
neural
activity
exhibits
rich
spatial,
temporal,
and
spectral
organization
that
undergoes
continuous
refinement
from
childhood
through
adolescence.
The
goal
of
this
study
was
to
investigate
the
development
theta
(4−8
Hertz)
alpha
(8−12
oscillations
early
adulthood
(years
3–24),
as
these
play
a
fundamental
role
in
cognitive
function.
We
analyzed
eyes-open,
resting-state
EEG
data
96
participants
estimate
genuine
separately
aperiodic
(1/f)
signal.
examined
age-related
differences
signal
(slope
offset),
well
peak
frequency
power
dominant
posterior
oscillation.
For
signal,
we
found
both
slope
offset
decreased
with
age.
oscillation,
frequency,
but
not
power,
increased
Critically,
(ages
3–7)
characterized
by
dominance
electrodes,
whereas
oscillation
range
between
ages
7
24.
Furthermore,
displayed
topographical
transition
electrodes
anterior
adulthood.
Our
results
provide
quantitative
description
oscillations.
Developmental Cognitive Neuroscience,
Год журнала:
2022,
Номер
54, С. 101076 - 101076
Опубликована: Янв. 22, 2022
The
neurodevelopmental
period
spanning
early-to-middle
childhood
represents
a
time
of
significant
growth
and
reorganisation
throughout
the
cortex.
Such
changes
are
critical
for
emergence
maturation
range
social
cognitive
processes.
Here,
we
utilised
both
eyes
open
closed
resting-state
electroencephalography
(EEG)
to
examine
maturational
in
oscillatory
(i.e.,
periodic)
non-oscillatory
(aperiodic,
'1/f-like')
activity
large
cohort
participants
ranging
from
4-to-12
years
age
(N
=
139,
average
age=9.41
years,
SD=1.95).
EEG
signal
was
parameterised
into
aperiodic
periodic
components,
linear
regression
models
were
used
evaluate
if
chronological
could
predict
exponent
offset,
as
well
peak
frequency
power
within
alpha
beta
ranges.
Exponent
offset
found
decrease
with
age,
while
aperiodic-adjusted
increased
age;
however,
there
no
association
between
band.
Age
also
unrelated
spectral
either
or
bands,
despite
ranges
being
correlated
signal.
Overall,
these
results
highlight
capacity
features
elucidate
age-related
functional
developing
brain.
Cortex,
Год журнала:
2023,
Номер
161, С. 116 - 144
Опубликована: Фев. 22, 2023
Increasing
life
expectancy
is
prompting
the
need
to
understand
how
brain
changes
during
healthy
aging.
Research
utilizing
electroencephalography
(EEG)
has
found
that
power
of
alpha
oscillations
decrease
from
adulthood
on.
However,
non-oscillatory
(aperiodic)
components
in
data
may
confound
results
and
thus
require
re-investigation
these
findings.
Thus,
present
report
analyzed
a
pilot
two
additional
independent
samples
(total
N
=
533)
resting-state
EEG
young
elderly
individuals.
A
newly
developed
algorithm
was
utilized
allows
decomposition
measured
signal
into
periodic
aperiodic
components.
By
using
multivariate
sequential
Bayesian
updating
age
effect
each
component,
evidence
across
datasets
accumulated.
It
hypothesized
previously
reported
age-related
differences
will
largely
diminish
when
total
adjusted
for
component.
First,
replicated.
Concurrently,
decreases
intercept
slope
(i.e.
exponent)
component
were
observed.
Findings
on
aperiodic-adjusted
indicated
this
general
shift
spectrum
leads
an
overestimation
true
effects
conventional
analyses
power.
importance
separating
neural
spectra
highlighted.
also
after
accounting
confounding
factors,
analysis
provided
robust
aging
associated
with
decreased
While
relation
cognitive
decline
demands
further
investigation,
consistent
findings
high
test-retest
reliabilities
support
emerging
measures
are
reliable
markers
brain.
Hence,
previous
interpretations
reevaluated,
incorporating
signal.
Developmental Cognitive Neuroscience,
Год журнала:
2024,
Номер
66, С. 101373 - 101373
Опубликована: Апрель 1, 2024
Adolescence
has
been
hypothesized
to
be
a
critical
period
for
the
development
of
human
association
cortex
and
higher-order
cognition.
A
defining
feature
is
shift
in
excitation:
inhibition
(E/I)
balance
neural
circuitry,
however
how
changes
E/I
may
enhance
cortical
circuit
function
support
maturational
improvements
cognitive
capacities
not
known.
Harnessing
ultra-high
field
7
T
MR
spectroscopy
EEG
large,
longitudinal
cohort
youth
(N
=
164,
ages
10–32
years
old,
347
neuroimaging
sessions),
we
delineate
biologically
specific
associations
between
age-related
excitatory
glutamate
inhibitory
GABA
neurotransmitters
EEG-derived
measures
aperiodic
activity
reflective
prefrontal
cortex.
Specifically,
find
that
developmental
increases
reflected
glutamate:GABA
are
linked
assessed
by
suppression
activity,
which
turn
facilitates
robust
working
memory.
These
findings
indicate
role
E/I-engendered
signaling
mechanisms
maturation
maintenance.
More
broadly,
this
multi-modal
imaging
study
provides
evidence
undergoes
physiological
consistent
with
plasticity
during
adolescence.
Abstract
The
quantification
of
resting‐state
electroencephalography
(EEG)
is
associated
with
a
variety
measures.
These
include
power
estimates
at
different
frequencies,
microstate
analysis,
and
frequency‐resolved
source
connectivity
analyses.
Resting‐state
EEG
metrics
have
been
widely
used
to
delineate
the
manifestation
cognition
identify
psychophysiological
indicators
age‐related
cognitive
decline.
reliability
utilized
prerequisite
for
establishing
robust
brain–behavior
relationships
clinically
relevant
To
date,
however,
test–retest
examination
measures
derived
from
resting
human
EEG,
comparing
between
young
older
participants,
within
same
adequately
powered
dataset,
lacking.
present
registered
report
examined
in
sample
95
(age
range:
20–35
years)
93
60–80
participants.
A
good‐to‐excellent
was
confirmed
both
age
groups
on
scalp
levels
as
well
individual
alpha
peak
frequency.
Partial
confirmation
observed
hypotheses
stating
microstates
connectivity.
Equal
were
scalp‐level
partially
so
source‐level
In
total,
five
out
nine
postulated
empirically
supported
most
commonly
reported
metrics.
Neurobiology of Disease,
Год журнала:
2023,
Номер
190, С. 106380 - 106380
Опубликована: Дек. 17, 2023
Electroencephalography
(EEG)
has
shown
potential
for
identifying
early-stage
biomarkers
of
neurocognitive
dysfunction
associated
with
dementia
due
to
Alzheimer's
disease
(AD).
A
large
body
evidence
shows
that,
compared
healthy
controls
(HC),
AD
is
power
increases
in
lower
EEG
frequencies
(delta
and
theta)
decreases
higher
(alpha
beta),
together
slowing
the
peak
alpha
frequency.
However,
pathophysiological
processes
underlying
these
changes
remain
unclear.
For
instance,
recent
studies
have
that
apparent
shifts
from
high
low
can
be
driven
either
by
frequency
specific
periodic
or
rather
non-oscillatory
(aperiodic)
1/f
slope
spectrum.
Hence,
clarify
mechanism(s)
alterations
AD,
it
necessary
account
both
aperiodic
characteristics
signal.
Across
two
independent
datasets,
we
examined
whether
resting-state
linked
reflect
true
oscillatory
(periodic)
changes,
(non-oscillatory)
signal,
a
combination
both.
We
found
strong
are
purely
nature,
at
beta
(AD
<
HC)
leading
+
beta)
/
ratios
AD.
Aperiodic
features
did
not
differ
between
HC.
By
replicating
findings
cohorts,
provide
robust
pathophysiology
against
changes.
therefore
neural
dynamics
emphasize
robustness
signatures,
which
may
further
used
as
prognostic
interventional
targets
future
clinical
investigations.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Июль 10, 2024
Abstract
The
development
of
neural
circuits
has
long-lasting
effects
on
brain
function,
yet
our
understanding
early
circuit
in
humans
remains
limited.
Here,
periodic
EEG
power
features
and
aperiodic
components
were
examined
from
longitudinal
EEGs
collected
592
healthy
2–44
month-old
infants,
revealing
age-dependent
nonlinear
changes
suggestive
distinct
milestones
maturation.
Developmental
peaks
include
(1)
the
presence
then
absence
a
9-10
Hz
alpha
peak
between
2-6
months,
(2)
high
beta
(20-30
Hz)
4-18
(3)
emergence
low
(12-20
some
infants
after
six
months
age.
We
hypothesized
that
may
reflect
maturation
thalamocortical
network
development.
Infant
anesthesia
studies
observe
GABA-modulating
anesthetics
do
not
induce
mediated
frontal
coherence
until
10-12
Using
small
cohort
(
n
=
23)
with
before
during
anesthesia,
we
provide
preliminary
evidence
have
higher
anesthesia-induced
compared
to
those
without
peak.
NeuroImage,
Год журнала:
2023,
Номер
277, С. 120264 - 120264
Опубликована: Июль 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
Neural
oscillations
mediate
the
coordination
of
activity
within
and
between
brain
networks,
supporting
cognition
behaviour.
How
these
processes
develop
throughout
childhood
is
not
only
an
important
neuroscientific
question
but
could
also
shed
light
on
mechanisms
underlying
neurological
psychiatric
disorders.
However,
measuring
neurodevelopmental
trajectory
has
been
hampered
by
confounds
from
instrumentation.
In
this
paper,
we
investigate
suitability
a
disruptive
new
imaging
platform
-
optically
pumped
magnetometer-based
magnetoencephalography
(OPM-MEG)
to
study
during
development.
We
show
how
unique
192-channel
OPM-MEG
device,
which
adaptable
head
size
robust
participant
movement,
can
be
used
collect
high-fidelity
electrophysiological
data
in
individuals
aged
2
34
years.
Data
were
collected
somatosensory
task,
measured
both
stimulus-induced
modulation
beta
sensory
cortex,
whole-brain
connectivity,
showing
that
modulate
significantly
with
age.
Moreover,
pan-spectral
bursts
drive
task-induced
modulation,
their
probability
occurrence
spectral
content
change
Our
results
offer
insights
into
developmental
provide
clear
evidence
ideal
for
studying
electrophysiology
neurodevelopment.
Developmental Cognitive Neuroscience,
Год журнала:
2024,
Номер
68, С. 101402 - 101402
Опубликована: Июнь 7, 2024
In
electroencephalographic
(EEG)
data,
power-frequency
slope
exponents
(1/f_β)
can
provide
non-invasive
markers
of
in
vivo
neural
activity
excitation-inhibition
(E:I)
balance.
E:I
balance
may
be
altered
neurodevelopmental
conditions;
hence,
understanding
how
1/f
β
evolves
across
infancy/childhood
has
implications
for
developing
early
assessments/interventions.
This
systematic
review
(PROSPERO-ID:
CRD42023363294)
explored
the
maturation
(0-26
yrs)
resting-state
EEG
measures
(aperiodic
[AE],
power
law
[PLE]
and
Hurst
[HE]
exponents),
including
studies
containing
≥1
≥10
typically
participants.
Five
databases
(including
Embase
Scopus)
were
searched
during
March
2023.
Forty-two
identified
(Nparticipants=3478).
Risk
bias
was
assessed
using
Quality
Assessment
with
Diverse
Studies
tool.
Narrative
synthesis
HE
data
suggests
non-stationary
occurs
throughout
development.
Age-related
trends
complex,
rapid
decreases
AEs
infancy
heterogenous
changes
thereafter.
Regionally,
AE
maxima
shifted
developmentally,
potentially
reflecting
spatial
maturing
brain
connectivity.
work
highlights
importance
further
characterising
development
to
better
understand
shapes
cognitive