bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 8, 2024
ABSTRACT
Surgical
personnel
face
various
stressors
in
the
workplace,
including
environmental
sounds.
Mobile
electroencephalography
(EEG)
offers
a
promising
approach
for
objectively
measuring
how
individuals
perceive
In
this
study,
we
utilized
mobile
EEG
to
explore
realistic
soundscape
is
perceived
during
simulated
laparoscopic
surgery.
To
examine
varying
demands
placed
on
different
situations,
manipulated
cognitive
demand
surgical
task,
using
memory
task.
assess
responses
soundscape,
calculated
event-related
potentials
distinct
sound
events
and
temporal
response
functions
ongoing
soundscape.
Although
participants
reported
degrees
of
under
conditions,
no
significant
effects
were
observed
task
performance
or
parameters.
However,
changes
parameters
over
time
noted,
while
subjective
results
remained
consistent
time.
These
findings
highlight
importance
multiple
measures
fully
understand
complex
relationship
between
processing
demand.
Furthermore,
context
combined
audio
recordings
real-life
scenarios,
sparse
representations
have
advantages
more
detailed
representations.
Our
indicate
that
both
types
are
equally
effective
eliciting
neural
responses.
Overall,
study
marks
step
towards
investigating
applied
settings.
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
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: July 14, 2023
Brain-computer
interfaces
(BCIs)
have
attracted
considerable
attention
in
motor
and
language
rehabilitation.
Most
devices
use
cap-based
non-invasive,
headband-based
commercial
products
or
microneedle-based
invasive
approaches,
which
are
constrained
for
inconvenience,
limited
applications,
inflammation
risks
even
irreversible
damage
to
soft
tissues.
Here,
we
propose
in-ear
visual
auditory
BCIs
based
on
bioelectronics,
named
as
SpiralE,
can
adaptively
expand
spiral
along
the
meatus
under
electrothermal
actuation
ensure
conformal
contact.
Participants
achieve
offline
accuracies
of
95%
9-target
steady
state
evoked
potential
(SSVEP)
BCI
classification
type
target
phrases
successfully
a
calibration-free
40-target
online
SSVEP
speller
experiment.
Interestingly,
SSVEPs
exhibit
significant
2
Mind Brain and Education,
Journal Year:
2021,
Volume and Issue:
15(4), P. 354 - 370
Published: Oct. 5, 2021
As
the
field
of
educational
neuroscience
continues
to
grow,
questions
have
emerged
regarding
ecological
validity
and
applicability
this
research
practice.
Recent
advances
in
mobile
neuroimaging
technologies
made
it
possible
conduct
neuroscientific
studies
directly
naturalistic
learning
environments.
We
propose
that
embedding
a
cycle
(Matusz,
Dikker,
Huth,
&
Perrodin,
2019),
involving
lab-based,
seminaturalistic,
fully
experiments,
is
well
suited
for
addressing
questions.
With
review,
we
take
cautious
approach,
by
discussing
valuable
insights
can
be
gained
from
technology,
including
electroencephalography
functional
near-infrared
spectroscopy,
as
challenges
posed
bringing
methods
into
classroom.
Research
paradigms
used
alongside
technology
vary
considerably.
To
illustrate
point,
are
discussed
with
increasingly
designs.
conclude
several
ethical
considerations
should
taken
account
unique
area
research.
mSystems,
Journal Year:
2021,
Volume and Issue:
6(4)
Published: July 27, 2021
Humans
are
inextricably
linked
to
each
other
and
our
natural
world,
microorganisms
lie
at
the
nexus
of
those
interactions.
Microorganisms
form
genetically
flexible,
taxonomically
diverse,
biochemically
rich
communities,
i.e.,
microbiomes
that
integral
health
development
macroorganisms,
societies,
ecosystems.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2022,
Volume and Issue:
138, P. 104715 - 104715
Published: May 30, 2022
As
we
move
through
the
world,
natural
and
built
environments
implicitly
guide
behavior
by
appealing
to
certain
sensory
motor
dynamics.
This
process
can
be
motivated
automatic
attention
environmental
features
that
resonate
with
specific
sensorimotor
responses.
review
aims
at
providing
a
psychobiological
framework
describing
how
lead
automated
responses
defined
neurophysiological
mechanisms
underlying
attention.
Through
use
of
processes
in
subsets
cortical
structures,
goal
this
is
describe
on
neuronal
level
functional
link
between
designed
environment
By
distinguishing
elaborate
employs
for
adaptation.
realized
thalamo-cortical
network
integrating
aspects
behavior.
We
highlight
transthalamic
transmission
from
an
Enactive
predictive
perspective
recent
studies
effectively
modulated
systematically
manipulating
features.
end
suggesting
promising
combination
neuroimaging
computational
analysis
future
studies.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Attention
detection
using
electroencephalogram
(EEG)
signals
has
become
a
popular
topic.
However,
there
seems
to
be
notable
gap
in
the
literature
regarding
comprehensive
and
systematic
reviews
of
machine
learning
methods
for
attention
EEG
signals.
Therefore,
this
survey
outlines
recent
advances
EEG-based
within
past
five
years,
with
primary
focus
on
auditory
(AAD)
level
classification.
First,
we
provide
brief
overview
commonly
used
paradigms,
preprocessing
techniques,
artifact-handling
methods,
as
well
listing
accessible
datasets
these
studies.
Next,
summarize
classification
field
divide
them
into
two
categories:
traditional
deep
methods.
We
also
analyse
most
frequently
discuss
factors
influencing
each
technique's
performance
applicability.
Finally,
existing
challenges
future
trends
field.
Brain Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 103 - 103
Published: Jan. 22, 2025
Background:
Approach
and
avoidance
bias
(AAB)
describes
automatic
behavioral
tendencies
to
react
toward
environmental
stimuli
regarding
their
emotional
valence.
Traditional
setups
have
provided
evidence
but
often
lack
ecological
validity.
The
study
of
the
AAB
in
naturalistic
contexts
has
recently
increased,
revealing
significant
methodological
challenges.
This
systematic
review
evaluates
use
virtual
reality
(VR)
real-world
AAB,
summarizing
innovations
Methods:
We
systematically
reviewed
peer-reviewed
articles
employing
VR
investigate
AAB.
analyzed
experimental
designs,
stimuli,
response
metrics,
technical
aspects
assess
alignment
with
research
objectives
identify
limitations.
Results:
included
14
studies
diverse
methodologies,
stimulus
types,
novel
responses,
highlighting
variability
design
strategies
coherence.
Several
used
traditional
reaction
time
measures
yet
varied
application
technology
participant
interaction
paradigms.
Some
showed
discrepancies
between
simulated
natural
bodily
actions,
while
others
showcased
more
integrated
approaches
that
preserved
integrity.
Only
a
minority
control
conditions
or
acquired
(neuro)physiological
data.
Conclusions:
offers
potential
setup
for
studying
enabling
dynamic
immersive
interactions.
Our
results
underscore
importance
establishing
coherent
framework
investigating
using
VR.
Addressing
foundational
challenges
developing
baseline
principles
guide
VR-based
designs
within
is
essential
advancing
application.
will
ultimately
contribute
reliable
reproducible
paradigms
develop
effective
interventions
help
individuals
recognize
change
biases,
fostering
balanced
behaviors.
Journal of Neural Engineering,
Journal Year:
2023,
Volume and Issue:
20(5), P. 051002 - 051002
Published: Sept. 25, 2023
Objective.This
review
paper
provides
a
comprehensive
overview
of
ear-electroencephalogram
(EEG)
technology,
which
involves
recording
EEG
signals
from
electrodes
placed
in
or
around
the
ear,
and
its
applications
field
neural
engineering.Approach.We
conducted
thorough
literature
search
using
multiple
databases
to
identify
relevant
studies
related
ear-EEG
technology
various
applications.
We
selected
123
publications
synthesized
information
highlight
main
findings
trends
this
field.Main
results.Our
highlights
potential
as
future
wearable
technology.
discuss
advantages
limitations
compared
traditional
scalp-based
methods
overcome
those
limitations.
Through
our
review,
we
found
that
is
promising
method
produces
comparable
results
conventional
methods.
development
sensing
devices,
including
design,
types
sensors,
materials.
also
current
state
research
on
different
application
areas
such
brain-computer
interfaces,
clinical
monitoring.Significance.This
first
focus
solely
reviewing
articles.
As
such,
it
serves
valuable
resource
for
researchers,
clinicians,
engineers
working
engineering.
Our
sheds
light
exciting
prospects
ear-EEG,
advance
engineering
become
IEEE Transactions on Biomedical Circuits and Systems,
Journal Year:
2023,
Volume and Issue:
17(3), P. 483 - 494
Published: May 3, 2023
To
enable
continuous,
mobile
health
monitoring,
body-worn
sensors
need
to
offer
comparable
performance
clinical
devices
in
a
lightweight,
unobtrusive
package.
This
work
presents
complete
versatile
wireless
electrophysiology
data
acquisition
system
(weDAQ)
that
is
demonstrated
for
in-ear
electroencephalography
(EEG)
and
other
on-body
with
user-generic
dry-contact
electrodes
made
from
standard
printed
circuit
boards
(PCBs).
Each
weDAQ
device
provides
16
recording
channels,
driven
right
leg
(DRL),
3-axis
accelerometer,
local
storage,
adaptable
transmission
modes.
The
interface
supports
deployment
of
body
area
network
(BAN)
capable
aggregating
various
biosignal
streams
over
multiple
worn
simultaneously,
on
the
802.11n
WiFi
protocol.
channel
resolves
biopotentials
ranging
5
orders
magnitude
noise
level
0.52
μV
Journal of Cognitive Neuroscience,
Journal Year:
2022,
Volume and Issue:
34(12), P. 2237 - 2255
Published: Jan. 1, 2022
Abstract
The
study
of
cognitive
processes
underlying
natural
behaviors
implies
departing
from
computerized
paradigms
and
artificial
experimental
probes.
present
aims
to
assess
the
feasibility
capturing
neural
markers
(P300
ERPs)
evoked
in
response
identification
task-relevant
objects
embedded
a
real-world
environment.
To
this
end,
EEG
eye-tracking
data
were
recorded
while
participants
attended
stimuli
presented
on
tablet
they
searched
for
books
library.
Initial
analyses
library
revealed
that
P300-like
features
shifted
time.
A
Dynamic
Time
Warping
analysis
confirmed
presence
P300
ERP
condition.
Library
then
lag-corrected
based
cross-correlation
coefficients.
Together,
these
approaches
uncovered
responses
recordings.
These
findings
highlight
relevance
scalable
designs,
joint
brain
body
recordings,
template-matching
capture
events
during
behaviors.