Abstract
Children
with
attention-deficit/hyperactivity
disorder
show
deficits
in
processing
speed,
as
well
aberrant
neural
oscillations,
including
both
periodic
(oscillatory)
and
aperiodic
(1/f-like)
activity,
reflecting
the
pattern
of
power
across
frequencies.
Both
components
were
suggested
underlying
mechanisms
cognitive
dysfunctions
disorder.
Here,
we
examined
differences
speed
resting-state-Electroencephalogram
oscillations
their
associations
between
6-
12-year-old
children
(n
=
33)
without
Spectral
analyses
resting-state
EEG
signal
using
fast
Fourier
transform
revealed
increased
fronto-central
theta
beta
for
group,
but
no
theta/beta
ratio.
Using
parameterization
method,
found
a
higher
exponent,
which
has
been
to
reflect
lower
neuronal
excitation-inhibition,
group.
While
transform–based
correlated
clinical
symptoms
group
only,
exponent
was
negatively
entire
sample.
Finally,
power.
These
results
highlight
different
complementary
contribution
spectrum
metrics
evaluation
Future
studies
should
further
clarify
roles
additional
functions
relation
status.
Attention-deficit/hyperactivity
disorder
(ADHD)
is
a
prevalent,
impairing,
and
highly
heritable
condition
typically
diagnosed
in
middle
childhood.
However,
it
now
recognized
that
symptoms
emerge
much
earlier
development.
Research
focused
on
understanding-using
multiple
units
of
analysis-the
cascade
early-life
(i.e.,
prenatal-infant-toddler)
developmental
changes
will
later
as
ADHD
has
the
potential
to
transform
early
identification,
prevention,
intervention.
To
this
end,
we
introduce
recently
established
Early
Consortium,
an
international
network
investigators
engaged
prospective,
longitudinal
studies
risk
for
beginning
life,
conducted
within
framework,
which
incorporate
multimethod
approaches.
This
seeks
harmonize
measures
methodological
approaches
increase
data
sharing
subsequent
impact.
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
Translational Psychiatry,
Год журнала:
2023,
Номер
13(1)
Опубликована: Авг. 2, 2023
Abstract
Non-invasive
brain
stimulation
has
been
suggested
as
a
potential
treatment
for
improving
symptomology
and
cognitive
deficits
in
Attention-Deficit/Hyperactivity
Disorder
(ADHD),
the
most
common
childhood
neurodevelopmental
disorder.
Here,
we
examined
whether
novel
form
of
stimulation,
high-frequency
transcranial
random
noise
(tRNS),
applied
with
training
(CT),
may
impact
symptoms
neural
oscillations
children
ADHD.
We
conducted
randomized,
double-blind,
sham-controlled
trial
23
unmedicated
ADHD,
who
received
either
tRNS
over
right
inferior
frontal
gyrus
(rIFG)
left
dorsolateral
prefrontal
cortex
(lDLPFC)
or
sham
2
weeks,
combined
CT.
+
CT
yielded
significant
clinical
improvements
(reduced
parent-reported
ADHD
rating-scale
scores)
following
treatment,
compared
to
control
intervention.
These
did
not
change
significantly
at
3-week
follow-up.
Moreover,
resting
state
(RS)-EEG
periodic
beta
bandwidth
extracted
peaks
was
reduced
experimental
group
immediately
further
reduction
A
lower
aperiodic
exponent,
which
reflects
higher
cortical
excitation/inhibition
(E/I)
balance
related
improvement,
seen
group.
This
replicates
previous
findings
adults
without
but
only
when
using
directional
hypothesis.
The
exhibited
longer
sleep
onset
latencies
more
wake-up
times
No
differences
were
executive
functions,
nor
reported
adverse
events.
conclude
that
lasting
effect
on
activity.
results
provide
preliminary
direction
towards
intervention
pediatric
Abstract
Brain
function
rapidly
changes
in
the
first
2
years
of
life.
In
last
decades,
resting‐state
EEG
has
been
widely
used
to
explore
those
changes.
Previous
studies
have
focused
on
relative
power
signal
established
frequency
bands
(i.e.,
theta,
alpha,
and
beta).
However,
is
a
mixture
1/f‐like
background
(aperiodic)
combination
with
narrow
peaks
that
appear
over
curve
(periodic
activity,
e.g.,
alpha
peak).
Therefore,
it
possible
captures
both,
aperiodic
periodic
brain
contributing
electrophysiological
activity
observed
infancy.
For
this
reason,
we
explored
early
developmental
trajectory
beta
from
infancy
toddlerhood
compared
longitudinal
study
three
waves
at
age
6,
9,
16
18
months.
Finally,
tested
contribution
components
power.
We
found
trajectories
differed
period
all
but
alpha.
Furthermore,
flattened
between
6
More
importantly,
only
was
exclusively
related
whereas
significantly
contributed
theta
bands.
Thus,
these
frequencies
influenced
by
which
should
be
considered
for
future
studies.
Abstract
Background
Autism
is
proposed
to
be
characterised
by
an
atypical
balance
of
cortical
excitation
and
inhibition
(E/I).
However,
most
studies
have
examined
E/I
alterations
in
older
autistic
individuals,
meaning
that
findings
could
part
reflect
homeostatic
compensation.
To
assess
the
directionality
effects,
it
necessary
examine
early
lifespan
before
symptom
emergence.
Recent
explanatory
frameworks
argued
also
consider
how
risk
features
interact
with
later
developing
modifier
factors
predict
autism
outcomes.
Method
We
indexed
infancy
extracting
aperiodic
exponent
slope
electroencephalogram
(EEG)
power
spectrum
(‘1/f’).
validate
our
index
balance,
we
tested
for
differences
10-month-old
infants
(
n
=
22)
without
27)
neurofibromatosis
type
1
(NF1),
a
condition
thought
inhibition.
then
larger
heterogeneous
longitudinal
cohort
family
history
neurodevelopmental
conditions
150)
who
had
been
followed
childhood.
relevance
modifier,
executive
attention,
assessing
whether
associations
between
10-month
36-month
traits
were
moderated
24-month
attention.
Analyses
adjusted
age
at
EEG
assessment,
sex
number
trials.
Results
Infants
NF1
higher
exponent,
indicative
greater
inhibition,
supporting
infant
measure
E/I.
Longitudinal
analyses
showed
significant
interaction
such
exponents
predicted
childhood,
but
only
weaker
functioning
abilities.
Limitations
The
current
study
relied
on
parent
report
functioning-type
abilities;
future
work
required
replicate
effects
objective
measures
cognition.
Conclusions
suggest
are
developmental
pathway
outcomes,
abilities
may
buffer
impact
atypicalities,
consistent
proposals
stronger
modify
wide
range
factors.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Сен. 10, 2022
Abstract
Spectral
slope
and
Lempel-Ziv
complexity
are
affected
in
many
neurophysiological
disorders
modulated
by
sleep,
anesthesia,
aging.
Yet,
few
studies
have
explored
the
relationship
between
these
two
parameters.
We
evaluated
impact
of
sleep
stage
task-engagement
(resting,
attention
memory)
on
spectral
a
narrow-
(30
–
45Hz)
broadband
(1
frequency
range
28
healthy
males
(21.54
±
1.90
years)
over
three
recordings.
Only
range,
steepens
decreases
continuously
from
wakefulness
to
N3.
However,
REM
is
best
discriminated
narrowband
slope.
Importantly,
also
differentiate
tasks
during
wakefulness.
While
across
tasks,
flattening
with
task
engagement
both
ranges.
In
general,
strongly
positively
correlated,
but
we
observe
dissociation
them
range.
Critically,
only
associated
better
Go/Nogo
performance.
Our
results
demonstrate
that
powerful
indices
depth,
cognitive
suited
discriminate
brain
states,
especially
unique
marker
Journal of Neurophysiology,
Год журнала:
2022,
Номер
128(6), С. 1546 - 1554
Опубликована: Ноя. 16, 2022
Aperiodic
spectral
slope
is
a
measure
of
spontaneous
neural
oscillatory
activity
that
believed
to
support
regulation
brain
responses
environmental
stimuli.
Compared
typically
developing
(TD)
control
participants,
children
with
attention
deficit
hyperactivity
disorder
(ADHD)
have
been
shown
flatter
aperiodic
at
rest
as
well
attenuated
event-related
potential
(ERP)
amplitudes
in
response
A
small
body
research
suggests
may
also
explain
differences
behavioral
responses.
In
this
study,
we
examine
associations
between
prestimulus
slope,
stimulus
characteristics,
demands,
and
these
Furthermore,
evaluate
whether
ADHD
diagnostic
status
moderates
associations.
Seventy-nine
27
TD
school-age
completed
two
visual
ERP
experiments
predictable
alternating
presentations
task-relevant
task-irrelevant
was
extracted
from
time
windows.
Prestimulus
steeper
for
the
relative
group,
driven
by
rather
than
For
both
groups,
during
task
lower
cognitive
demand
before
trials
which
they
responded
correctly.
did
not
mediate
association
diagnosis
P300
amplitude.
The
dynamic
changes
anticipation
varying
categories
performance.
amplitude
reflect
distinct
processes.
Background
oscillations,
captured
via
should
be
included
etiological
models
ADHD.NEW
&
NOTEWORTHY
This
study
constitutes
first
investigation
three
aspects
neurocognition:
amplitudes,
load,
We
find
background
dynamic,
shifting
levels
relevance
increasing
load.
Moreover,
report
ERPs
constitute
neurophysiological
Children
show
reduced
dynamics
addition
amplitudes.
Developmental Cognitive Neuroscience,
Год журнала:
2023,
Номер
60, С. 101222 - 101222
Опубликована: Фев. 24, 2023
The
fields
of
developmental
psychopathology,
neuroscience,
and
behavioral
genetics
are
increasingly
moving
toward
a
data
sharing
model
to
improve
reproducibility,
robustness,
generalizability
findings.
This
approach
is
particularly
critical
for
understanding
attention-deficit/hyperactivity
disorder
(ADHD),
which
has
unique
public
health
importance
given
its
early
onset,
high
prevalence,
individual
variability,
causal
association
with
co-occurring
later
developing
problems.
A
further
priority
concerns
multi-disciplinary/multi-method
datasets
that
can
span
different
units
analysis.
Here,
we
describe
dataset
using
case-control
design
ADHD
includes:
multi-method,
multi-measure,
multi-informant,
multi-trait
data,
multi-clinician
evaluation
phenotyping.
It
spans
>
12
years
annual
follow-up
lag
longitudinal
allowing
age-based
analyses
spanning
age
7-19
+
full
range
from
7
21.
Measures
genetic
epigenetic
(DNA
methylation)
array
data;
EEG,
functional
structural
MRI
neuroimaging;
psychophysiological,
psychosocial,
clinical
outcomes
data.
resource
also
benefits
an
autism
spectrum
add-on
cohort
cross
sectional
geographical
region
replication
generalizability.
Datasets
integration
genes
nervous
system
behavior
represent
the
"next
generation"
researchable
cohorts
psychopathology.
Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Май 24, 2024
We
delve
into
the
human
brain's
remarkable
capacity
for
adaptability
and
sustained
cognitive
functioning,
phenomena
traditionally
encompassed
as
executive
functions
or
control.
The
neural
underpinnings
that
enable
seamless
navigation
between
transient
thoughts
without
detracting
from
overarching
goals
form
core
of
our
article.
discuss
concept
"metacontrol,"
which
builds
upon
conventional
control
theories
by
proposing
a
dynamic
balancing
processes
depending
on
situational
demands.
critically
role
oscillatory
in
electrophysiological
activity
at
different
scales
importance
desynchronization
partial
phase
synchronization
supporting
adaptive
behavior
including
noise
accounts,
dynamics,
phase-based
measures
(coordination
dynamics)
mass
modelling.
focused
neurophysiological
avenues
outlined
are
integral
to
understanding
diverse
psychiatric
disorders
thereby
contributing
more
nuanced
comprehension
its
bases
both
health
disease.