bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 21, 2023
Abstract
Electroencephalography
(EEG)
and
event-related
potentials
(ERPs)
have
been
analyzed
for
more
than
70
years.
Yet,
we
know
little
about
how
practitioners
visualize
the
results
of
their
analyses.
Here,
designed
an
online
survey
(n=213)
targeting
EEG
from
novice
to
expert
level.
Our
primary
goal
is
better
understand
visualization
tools
currently
in
use,
challenges
researchers
face,
experiences
opinions
on
best
display
brain
data.
Finally,
explored
whether
are
aware
general
issues.
In
this
paper
provide
overview
most
popular
ERP
tools.
Then,
found
that
community
does
not
a
unique
nomenclature
refer
some
plot
types,
propose
set
recommendations
name
types.
analysis
practitioner
feature
preferences
software
developers
conclude
with
further
practitioners.
NeuroImage,
Journal Year:
2022,
Volume and Issue:
269, P. 119774 - 119774
Published: Dec. 22, 2022
The
popular
brain
monitoring
method
of
electroencephalography
(EEG)
has
seen
a
surge
in
commercial
attention
recent
years,
focusing
mostly
on
hardware
miniaturization.
This
led
to
varied
landscape
portable
EEG
devices
with
wireless
capability,
allowing
them
be
used
by
relatively
unconstrained
users
real-life
conditions
outside
the
laboratory.
wide
availability
and
relative
affordability
these
provide
low
entry
threshold
for
newcomers
field
research.
large
device
variety
at
times
opaque
communication
from
their
manufacturers,
however,
can
make
it
difficult
obtain
an
overview
this
landscape.
Similarly,
given
breadth
existing
(wireless)
knowledge
research,
challenging
get
started
novel
ideas.
Therefore,
paper
first
provides
list
48
along
number
important-sometimes
difficult-to-obtain-features
characteristics
enable
side-by-side
comparison,
brief
introduction
each
aspects
how
they
may
influence
one's
decision.
Secondly,
we
have
surveyed
previous
literature
focused
110
high-impact
journal
publications
making
use
EEG,
which
categorized
application
analyzed
used,
channels,
sample
size,
participant
mobility.
Together,
basis
informed
decision
respect
experimental
precedents
when
considering
new,
At
same
time,
background
material
commentary
about
pitfalls
caveats
regarding
increasingly
accessible
line
Advances in Methods and Practices in Psychological Science,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: Jan. 1, 2025
Performing
high-quality
research
is
a
challenging
endeavor,
especially
for
early
career
researchers,
in
many
fields
of
psychological
science.
Most
characterized
by
experiential
learning,
which
can
be
time-consuming,
error-prone,
and
frustrating.
Although
most
institutions
provide
selected
resources
to
help
researchers
with
their
projects,
these
are
often
expensive,
spread
out,
hard
find,
difficult
compare
one
another
terms
reliability,
validity,
usability,
practicability.
A
comprehensive
overview
that
useful
science
missing.
To
address
this
issue,
we
created
ARIADNE:
living
interactive
resource
navigator
helps
use
search
dynamically
updated
database
(
https://igor-biodgps.github.io/ARIADNE
).
In
tutorial,
aim
guide
through
standard
project
using
ARIADNE
along
the
way.
The
open-access
covers
growing
list
each
step
project,
from
planning
designing
study,
over
collection
analysis
data,
writing
disseminating
findings.
We
(a)
step-by-step
on
how
perform
(in
biological
psychology
neuroscience
as
case
example
but
broad
application
neighboring
fields)
(b)
an
at
different
steps.
By
explicitly
highlighting
open-source
resources,
level
playing
field
underprivileged
countries
or
institutions,
thereby
facilitating
open,
fair,
reproducible
sciences.
Psychophysiology,
Journal Year:
2024,
Volume and Issue:
61(10)
Published: July 3, 2024
This
study
tackles
the
Garden
of
Forking
Paths,
as
a
challenge
for
replicability
and
reproducibility
ERP
studies.
Here,
we
applied
multiverse
analysis
to
sample
N400
dataset,
donated
by
an
independent
research
team.
We
analyzed
this
dataset
using
14
pipelines
selected
showcase
full
range
methodological
variability
found
in
literature
systematic
review
approach.
The
were
compared
depth
looking
into
statistical
test
outcomes,
descriptive
statistics,
effect
size,
data
quality,
power.
In
way
provide
worked
example
how
analytic
flexibility
can
impact
results
fields
with
high
dimensionality
such
ERP,
when
standard
null-hypothesis
significance
testing.
Out
decisions
that
varied,
high-pass
filter
cut-off,
artifact
removal
method,
baseline
duration,
reference,
measurement
latency
locations,
amplitude
measure
(peak
vs.
mean)
all
shown
affect
at
least
some
outcome
measures.
Low-pass
filtering
was
only
step
which
did
not
notably
influence
any
these
shows
even
seemingly
minor
procedural
deviations
conclusions
study.
demonstrate
power
both
identifying
most
reliable
effects
given
study,
providing
insights
consequences
decisions.
This
paper
tackles
the
Garden
of
Forking
Paths
(Gelman
&
Loken,
2013),
as
a
challenge
for
replicability
and
reproducibility
ERP
studies.
Here,
we
applied
multiverse
analysis
to
sample
N400
dataset,
donated
by
an
independent
research
team.
We
analysed
this
dataset
using
14
pipelines
selected
showcase
full
range
methodological
variability
found
in
literature
systematic
review
approach
(Šoškić
et
al.,
2022).
The
were
compared
depth
looking
into
statistical
test
outcomes,
descriptive
statistics,
effect
size,
data
quality,
power.
In
way
provide
worked
example
how
analytic
flexibility
can
impact
results
fields
with
high
dimensionality
such
ERP,
when
standard
null-hypothesis
significance
testing.
Out
decisions
that
varied,
high-pass
filter
cut-off,
artifact
removal
method,
baseline
duration,
reference,
measurement
latency
locations,
amplitude
measure
(peak
vs.
mean)
all
shown
affect
at
least
some
study
outcome
measures.
Low-pass
filtering
was
only
step
which
did
not
notably
influence
any
these
shows
even
seemingly
minor
procedural
deviations
conclusions
study.
demonstrate
power
both
identifying
most
reliable
effects
given
study,
providing
insights
consequences
decisions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 15, 2024
Abstract
The
large
number
of
different
analytical
choices
researchers
use
may
be
partly
responsible
for
the
replication
challenge
in
neuroimaging
studies.
For
robustness
analysis,
knowledge
full
space
options
is
essential.
We
conducted
a
systematic
literature
review
to
identify
decisions
functional
data
preprocessing
and
analysis
emerging
field
cognitive
network
neuroscience.
found
61
steps,
with
17
them
having
debatable
options.
Scrubbing,
global
signal
regression,
spatial
smoothing
are
among
controversial
steps.
There
no
standardized
order
which
steps
applied,
within
several
vary
widely
across
By
aggregating
pipelines
studies,
we
propose
three
taxonomic
levels
categorize
choices:
1)
inclusion
or
exclusion
specific
2)
distinct
sequencing
3)
parameter
tuning
To
facilitate
access
data,
developed
decision
support
app
high
educational
value
called
METEOR,
allows
explore
as
reference
well-informed
(multiverse)
analysis.
Highlights
Data
variability
hinders
replicability.
Analysis
multiple
defensible
examines
results.
identified
102
performing
graph-fMRI
Interactive
visualization
these
available
Shiny
app.
Aperture Neuro,
Journal Year:
2024,
Volume and Issue:
4
Published: April 26, 2024
Electroencephalography
(EEG)
and
event-related
potentials
(ERPs)
have
been
analyzed
for
more
than
70
years.
Yet,
we
know
little
about
how
practitioners
visualize
the
results
of
their
analyses.
Here,
designed
an
online
survey
(n=213)
targeting
M/EEG
from
novice
to
expert
level.
Our
primary
goal
is
better
understand
visualization
tools
currently
in
use,
challenges
researchers
face,
experiences
opinions
on
best
display
brain
data.
Finally,
explored
whether
are
aware
general
issues
related
uncertainty
color
maps.
In
this
paper,
provide
overview
most
popular
ERP
tools.
Additionally,
found
that
community
does
not
a
unique
nomenclature
refer
some
plot
types,
propose
set
recommendations
name
types.
analysis
practitioner
feature
preferences
software
developers
conclude
with
further
practitioners.
Psychophysiology,
Journal Year:
2024,
Volume and Issue:
62(1)
Published: Dec. 19, 2024
Preprocessing
is
necessary
to
extract
meaningful
results
from
electroencephalography
(EEG)
data.
With
many
possible
preprocessing
choices,
their
impact
on
outcomes
fundamental.
While
previous
studies
have
explored
the
effects
of
stationary
EEG
data,
this
research
delves
into
mobile
EEG,
where
complex
processing
address
motion
artifacts.
Specifically,
we
describe
choices
reported
for
analyzing
P3
event-related
potential
(ERP)
during
walking
and
standing.
A
systematic
review
258
walking,
identified
27
meeting
inclusion
criteria.
Two
independent
coders
extracted
in
each
study.
Analysis
revealed
commonalities
differences,
such
as
widespread
use
offline
filters
but
limited
application
line
noise
correction
(3
studies).
Notably,
59%
involved
manual
steps,
56%
omitted
reporting
critical
parameters
at
least
one
step.
All
employed
unique
strategies.
These
findings
align
with
results,
emphasizing
necessity
standardized
research.
We
implemented
an
interactive
visualization
tool
(Shiny
app)
aid
exploration
landscape.
The
app
allows
users
structure
literature
regarding
different
enter
planned
methods,
compare
them
literature.
could
be
utilized
examine
how
these
understand
robustness
various
options.
hope
increase
awareness
influence
decisions
advocate
comprehensive
standards
foster
reproducibility
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 1, 2024
Abstract
Preprocessing
is
necessary
to
extract
meaningful
results
from
electroencephalography
(EEG)
data.
With
many
possible
preprocessing
choices,
their
impact
on
outcomes
fundamental.
While
previous
studies
have
explored
the
effects
of
stationary
EEG
data,
this
research
delves
into
mobile
EEG,
where
complex
processing
address
motion
artifacts.
Specifically,
we
describe
choices
reported
for
analyzing
P3
event-related
potential
(ERP)
during
walking
and
standing.
A
systematic
review
258
walking,
identified
27
meeting
inclusion
criteria.
Two
independent
coders
extracted
in
each
study.
Analysis
revealed
commonalities
differences,
such
as
widespread
use
offline
filters
but
limited
application
line
noise
correction
(3
studies).
Notably,
59%
involved
manual
steps,
56%
omitted
reporting
critical
parameters
at
least
one
step.
All
employed
unique
strategies.
These
findings
align
with
results,
emphasizing
necessity
standardized
research.
We
implemented
an
interactive
visualization
tool
(Shiny
app)
aid
exploration
landscape.
The
app
allows
users
structure
literature
regarding
different
enter
planned
methods,
compare
them
literature.
could
be
utilized
examine
how
these
understand
robustness
various
options.
hope
increase
awareness
influence
decisions
advocate
comprehensive
standards
foster
reproducibility
Performing
high-quality
research
is
a
challenging
endeavor,
especially
for
early
career
researchers
(ECRs)
in
many
fields
of
psychological
science.
Most
characterized
by
experiential
learning,
which
can
be
time-consuming,
error-prone,
and
frustrating.
While
most
institutions
provide
selected
resources
to
help
with
their
projects,
these
are
often
expensive,
spread
out,
hard
find,
difficult
compare
one
another
terms
reliability,
validity,
usability,
practicability.
A
comprehensive
overview
that
useful
science
missing.
To
address
this
issue,
we
created
ARIADNE
–
living
interactive
resource
navigator
helps
use
search
dynamically
updated
database
resources.
This
tutorial
aims
at
guiding
through
standard
project
using
along
the
way.
The
open
access
covers
growing
list
each
step
project,
ranging
from
planning
designing
study,
over
collection
analysis
data,
writing
disseminating
findings.
We
1)
step-by-step
guide
on
how
perform
(in
biological
psychology
neuroscience
as
case
example,
but
broad
application
neighboring
fields),
2)
an
different
steps.
By
explicitly
highlighting
open-source
resources,
level
playing
field
underprivileged
countries
or
institutions,
thereby
facilitating
open,
fair,
reproducible
sciences.
arXiv (Cornell University),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
Recently,
we
saw
a
trend
toward
using
physiological
signals
in
interactive
systems.
These
signals,
offering
deep
insights
into
users'
internal
states
and
health,
herald
new
era
for
HCI.
However,
as
this
is
an
interdisciplinary
approach,
many
challenges
arise
HCI
researchers,
such
merging
diverse
disciplines,
from
understanding
functions
to
design
expertise.
Also,
isolated
research
endeavors
limit
the
scope
reach
of
findings.
This
workshop
aims
bridge
these
gaps,
fostering
cross-disciplinary
discussions
on
usability,
open
science,
ethics
tied
data
In
workshop,
will
discuss
best
practices
embedding
Through
collective
efforts,
seek
craft
guiding
document
research,
ensuring
that
it
remains
grounded
shared
principles
methodologies
field
advances.