2021 IEEE Symposium Series on Computational Intelligence (SSCI),
Journal Year:
2023,
Volume and Issue:
unknown, P. 64 - 68
Published: Dec. 5, 2023
Electroencephalography
(EEG)
is
an
essential
neuromonitoring
modality,
deeply
integrated
across
scientific
disciplines
such
as
psychology,
cognitive
science,
computational
neuroscience,
neurology,
and
psychiatry.
Its
relevance
has
surged
with
the
rise
of
brain-computer
interfaces.
However,
potential
non-invasive
EEG
hindered
by
compromised
signal
quality
compared
to
invasive
methods.
The
distinction
between
modest
source
amplitudes
pronounced
magnitudes
non-EEG
physiological
signals
environmental
interferences
complicates
analysis.
coexistence
subtle
neural
prominent
artifacts,
both
intrinsic
acquired,
characterizes
processing.
Various
artifact
management
techniques
have
been
proposed,
yet
pursuit
assessment
remains
underexplored.
This
mini-review
addresses
this
gap
emphasizing
vital
role
in
recordings.
article
highlights
significance
rigorous
evaluation,
reliable
data.
It
also
encapsulates
evolving
quantitative
methodologies
that
bolster
fidelity
assessment.
By
delving
into
these
aspects,
presents
a
compact
overview
ongoing
advancements
research
field
analysis
applications.
Behavior Research Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 16, 2024
The
replication
crisis
in
experimental
psychology
and
neuroscience
has
received
much
attention
recently.
This
led
to
wide
acceptance
of
measures
improve
scientific
practices,
such
as
preregistration
registered
reports.
Less
effort
been
devoted
performing
reporting
the
results
systematic
tests
functioning
setup
itself.
Yet,
inaccuracies
performance
may
affect
a
study,
lead
failures,
importantly,
impede
ability
integrate
across
studies.
Prompted
by
challenges
we
experienced
when
deploying
studies
six
laboratories
collecting
electroencephalography
(EEG)/magnetoencephalography
(MEG),
functional
magnetic
resonance
imaging
(fMRI),
intracranial
EEG
(iEEG),
here
describe
framework
for
both
testing
setup.
In
addition,
100
researchers
were
surveyed
provide
snapshot
current
common
practices
community
standards
concerning
published
experiments'
setups.
Most
reported
their
Almost
none,
however,
performed
or
results.
Tests
diverse,
targeting
different
aspects
Through
simulations,
clearly
demonstrate
how
even
slight
can
impact
final
We
end
with
standardized,
open-source,
step-by-step
protocol
(visual)
event-related
experiments,
shared
via
protocols.io.
aims
benchmark
future
replications
insights
into
research
quality
help
reproducibility
results,
accelerate
multicenter
studies,
increase
robustness,
enable
integration
2021 IEEE Symposium Series on Computational Intelligence (SSCI),
Journal Year:
2023,
Volume and Issue:
unknown, P. 64 - 68
Published: Dec. 5, 2023
Electroencephalography
(EEG)
is
an
essential
neuromonitoring
modality,
deeply
integrated
across
scientific
disciplines
such
as
psychology,
cognitive
science,
computational
neuroscience,
neurology,
and
psychiatry.
Its
relevance
has
surged
with
the
rise
of
brain-computer
interfaces.
However,
potential
non-invasive
EEG
hindered
by
compromised
signal
quality
compared
to
invasive
methods.
The
distinction
between
modest
source
amplitudes
pronounced
magnitudes
non-EEG
physiological
signals
environmental
interferences
complicates
analysis.
coexistence
subtle
neural
prominent
artifacts,
both
intrinsic
acquired,
characterizes
processing.
Various
artifact
management
techniques
have
been
proposed,
yet
pursuit
assessment
remains
underexplored.
This
mini-review
addresses
this
gap
emphasizing
vital
role
in
recordings.
article
highlights
significance
rigorous
evaluation,
reliable
data.
It
also
encapsulates
evolving
quantitative
methodologies
that
bolster
fidelity
assessment.
By
delving
into
these
aspects,
presents
a
compact
overview
ongoing
advancements
research
field
analysis
applications.
