NeuroImage,
Год журнала:
2021,
Номер
237, С. 118192 - 118192
Опубликована: Май 25, 2021
Typically,
time-frequency
analysis
(TFA)
of
electrophysiological
data
is
aimed
at
isolating
narrowband
signals
(oscillatory
activity)
from
broadband
non-oscillatory
(1/f)
activity,
so
that
changes
in
oscillatory
activity
resulting
experimental
manipulations
can
be
assessed.
A
widely
used
method
to
do
this
convert
the
decibel
(dB)
scale
through
baseline
division
and
log
transformation.
This
procedure
assumes
that,
for
each
frequency,
sources
power
(i.e.,
oscillations
1/f
by
same
factor
relative
(multiplicative
model).
assumption
may
incorrect
when
signal
noise
are
independent
contributors
spectrum
(additive
Using
resting-state
EEG
80
participants,
we
found
level
alpha
not
positively
correlated
within
line
with
additive
but
multiplicative
model.
Then,
assess
effects
dB
conversion
on
violate
multiplicativity
assumption,
simulated
a
mixed
design
study
one
between-subject
(noise
level,
i.e.,
within-subject
(signal
amplitude,
amplitude
added
onto
background
factor.
The
effect
size
×
interaction
was
examined
as
function
difference
between
groups,
following
conversion.
Findings
revealed
led
over-
or
under-estimation
true
groups
differing
levels
were
compared,
it
also
emergence
illusory
interactions
none
present.
because
systematically
underestimated
noisier
compared
less
noisy
group.
Hence,
recommend
testing
whether
differs
across
conditions
using
multiple
correction
strategies
validate
results
if
does.
Such
situation
particularly
common
aging,
developmental,
clinical
studies.
Proceedings of the National Academy of Sciences,
Год журнала:
2016,
Номер
113(14), С. 3867 - 3872
Опубликована: Март 21, 2016
Significance
A
description
of
the
structural
and
functional
connections
in
human
brain
is
necessary
for
understanding
both
normal
abnormal
functioning.
Although
it
has
become
clear
recent
years
that
stable
patterns
connectivity
can
be
observed
during
resting
state,
to
date,
remains
unclear
what
dominant
information
flow
are
this
connectome
how
these
relate
integration
function.
Our
results
first
describe
large-scale
frequency-specific
brain,
showing
different
subsystems
form
a
loop
through
which
“reverberates”
or
“circulates.”
These
could
extended
give
insights
into
such
optimizes
integrative
cognitive
processing.
Annals of the New York Academy of Sciences,
Год журнала:
2017,
Номер
1396(1), С. 70 - 91
Опубликована: Март 5, 2017
Models
of
attention
often
distinguish
among
subtypes,
with
classic
models
separating
orienting,
switching,
and
sustaining
functions.
Compared
other
forms
attention,
the
neurophysiological
basis
has
received
far
less
notice,
yet
it
is
known
that
momentary
failures
sustained
can
have
far-ranging
negative
effects
in
healthy
individuals,
lasting
deficits
are
pervasive
clinical
populations.
In
recent
years,
however,
there
been
increased
interest
characterizing
moment-to-moment
fluctuations
addition
to
overall
vigilance
decrement,
understanding
how
these
neurocognitive
systems
change
over
life
span
across
various
The
use
novel
neuroimaging
paradigms
statistical
approaches
allowed
for
better
characterization
neural
networks
supporting
highlighted
dynamic
interactions
within
multiple
distributed
predict
behavioral
performance.
These
advances
also
provided
potential
biomarkers
identify
individuals
deficits.
findings
led
new
theoretical
explaining
why
focused
a
challenge
form
next
generation
research,
which
seeks
accurately
diagnose
develop
theoretically
driven
treatments
affect
variety
European Journal of Neuroscience,
Год журнала:
2017,
Номер
48(7), С. 2498 - 2508
Опубликована: Окт. 17, 2017
Abstract
A
central
feature
of
human
brain
activity
is
the
alpha
rhythm:
a
7–13
Hz
oscillation
observed
most
notably
over
occipitoparietal
regions
during
periods
eyes‐closed
rest.
Alpha
oscillations
covary
with
changes
in
visual
processing
and
have
been
associated
broad
range
neurocognitive
functions.
In
this
article,
we
review
these
associations
suggest
that
can
be
thought
to
exhibit
at
least
five
distinct
‘characters’:
those
inhibitor,
perceiver,
predictor,
communicator
stabiliser.
short,
while
are
strongly
reductions
attention,
they
also
appear
play
important
roles
regulating
timing
temporal
resolution
perception.
Furthermore,
top‐down
control
may
facilitate
transmission
predictions
cortex.
This
addition
promoting
communication
between
frontal
posterior
more
generally,
as
well
maintaining
ongoing
perceptual
states.
We
discuss
why
might
associate
such
cognitive
functions
ways
which
diverse
studied
experimentally.
Abstract
The
occurrence
of
mental
fatigue
during
tasks
like
driving
a
vehicle
increases
risk
injury
or
death.
Changes
in
electroencephalographic
(EEG)
activity
associated
with
has
been
frequently
studied
and
considered
promising
biomarker
fatigue.
This
is
despite
differences
methodologies
outcomes
prior
research.
A
systematic
review
meta‐analyses
was
conducted
to
establish
the
influence
on
EEG
spectral
bands,
determine
which
regions
fatigue‐related
changes
are
likely
occur.
high‐yield
search
strategy
identified
21
studies
meeting
inclusion
criteria
for
investigating
change
non‐diseased
adults
engaged
mentally
fatiguing
tasks.
medium
effect
size
(using
Cohen's
g
)
0.68
(95%CI:
0.24–1.13)
found
increase
overall
following
Further
examination
individual
bands
using
network
indicated
large
theta
(
=
1.03;
95%CI:
0.79–1.60)
alpha
0.85;
0.47–1.43),
small
moderate
delta
beta
bands.
Central
scalp
showed
largest
0.80;
0.46–1.21).
Sub‐group
analyses
frontal,
central
posterior
sites
(all
>
1),
sites.
Findings
have
implications
monitoring
countermeasures
support
as
robust
wave
second
line
account
variability.
