NeuroImage,
Journal Year:
2017,
Volume and Issue:
155, P. 291 - 304
Published: May 2, 2017
Recent
technological
advances
have
allowed
the
development
of
portable
functional
Near-Infrared
Spectroscopy
(fNIRS)
devices
that
can
be
used
to
perform
neuroimaging
in
real-world.
However,
as
real-world
experiments
are
designed
mimic
everyday
life
situations,
identification
event
onsets
extremely
challenging
and
time-consuming.
Here,
we
present
a
novel
analysis
method
based
on
general
linear
model
(GLM)
least
square
fit
for
Automatic
IDentification
Events
(or
AIDE)
directly
from
fNIRS
data.
In
order
investigate
accuracy
feasibility
this
method,
proof-of-principle
applied
algorithm
(i)
synthetic
data
simulating
both
block-,
event-related
mixed-design
(ii)
experimental
recorded
during
conventional
lab-based
task
(involving
maths).
AIDE
was
able
recover
events
simulated
with
an
89%,
97%
91%
respectively.
For
experiment,
recovered
more
than
66.7%
measured
To
illustrate
strength
then
by
wearable
system
one
participant
complex
prospective
memory
experiment
conducted
outside
lab.
As
part
there
were
four
six
(actions
where
participants
had
interact
target)
two
different
conditions
respectively
(condition
1:
social-interact
person;
condition
2:
non-social-interact
object).
managed
3/4
3/6
1
2
The
identified
corresponded
behavioural
video
recordings
movements
actions
participant.
Our
results
suggest
"brain-first"
rather
"behaviour-first"
is
possible
provide
solution
analyse
data,
filling
gap
between
real-life
testing
neuroimaging.
Neurophotonics,
Journal Year:
2016,
Volume and Issue:
3(3), P. 031405 - 031405
Published: March 9, 2016
We
highlight
a
significant
problem
that
needs
to
be
considered
and
addressed
when
performing
functional
near-infrared
spectroscopy
(fNIRS)
studies,
namely
the
possibility
of
inadvertently
measuring
fNIRS
hemodynamic
responses
are
not
due
neurovascular
coupling.
These
can
misinterpreted
as
brain
activity,
i.e.,
“false
positives”
(errors
caused
by
wrongly
assigning
detected
response
activity),
or
mask
negatives”
observed
in
presence
activity).
Here,
we
summarize
possible
physiological
origins
these
issues
suggest
ways
avoid
remove
them.
Frontiers in Human Neuroscience,
Journal Year:
2019,
Volume and Issue:
12
Published: Jan. 10, 2019
Functional
near-infrared
spectroscopy
(fNIRS)
research
articles
show
a
large
heterogeneity
in
the
analysis
approaches
and
pre-processing
procedures.
Additionally,
there
is
often
lack
of
complete
description
methods
applied,
necessary
for
study
replication
or
results
comparison.
The
aims
this
paper
were
(i)
to
review
investigate
which
information
generally
included
published
fNIRS
papers,
(ii)
define
signal
procedure
set
common
ground
standardization
guidelines.
To
goal,
we
have
reviewed
110
2016
field
cognitive
neuroscience,
performed
simulation
with
synthetic
data
optimize
filtering
step
before
applying
GLM
method
statistical
inference.
Our
highlight
fact
that
many
papers
important
information,
variability
used.
simulations
demonstrated
optimal
approach
remove
noise
recover
hemodynamic
response
from
framework
use
1000th
order
band-pass
Finite
Impulse
Response
filter.
Based
on
these
results,
give
preliminary
recommendations
as
first
toward
improving
dissemination
results.
Frontiers in Neuroscience,
Journal Year:
2020,
Volume and Issue:
14
Published: July 9, 2020
Similar
to
functional
magnetic
resonance
imaging
(fMRI),
near-infrared
spectroscopy
(fNIRS)
detects
the
changes
of
hemoglobin
species
inside
brain,
but
via
differences
in
optical
absorption.
Within
spectrum,
light
can
penetrate
biological
tissues
and
be
absorbed
by
chromophores,
such
as
oxyhemoglobin
deoxyhemoglobin.
What
makes
fNIRS
more
advantageous
is
its
portability
potential
for
long-term
monitoring.
This
paper
reviews
basic
mechanisms
current
clinical
applications,
limitations
toward
widespread
usage
fNIRS,
efforts
improve
temporal
spatial
resolution
robust
within
subjects.
Oligochannel
adequate
estimating
global
cerebral
function
it
has
become
an
important
tool
critical
care
setting
evaluating
oxygenation
autoregulation
patients
with
stroke
traumatic
brain
injury.
When
comes
a
sophisticated
utilization,
becomes
critical.
Multichannel
NIRS
improved
mapping
certain
task
modalities,
language
mapping.
However,
averaging
group
analysis
are
currently
required,
limiting
use
monitoring
real-time
event
detection
individual
Advances
signal
processing
have
moved
detecting
types
seizures,
assessing
autonomic
cortical
spreading
depression.
lack
accuracy
precision
been
major
obstacle
fNIRS.
The
high-density
whole
head
optode
arrays,
precise
sensor
locations
relative
head,
anatomical
co-registration,
short-distance
channels,
multi-dimensional
combined
sensitivity
increase
wide-spread
assessment
function.
Human Brain Mapping,
Journal Year:
2016,
Volume and Issue:
38(2), P. 831 - 841
Published: Oct. 4, 2016
This
study
investigated
interactive
exchange
in
lovers
and
the
associated
interpersonal
brain
synchronization
(IBS)
using
functional
near-infrared
spectroscopy
(fNIRS)-based
hyperscanning.Three
types
of
female-male
dyads,
lovers,
friends,
strangers,
performed
a
cooperation
task
during
which
activity
was
recorded
right
frontoparietal
regions.We
measured
better
cooperative
behavior
lover
dyads
compared
with
friend
stranger
dyads.Lover
demonstrated
increased
IBS
superior
frontal
cortex,
also
covaried
their
performance.Granger
causality
analyses
revealed
stronger
directional
from
females
to
males
than
females,
suggesting
different
roles
for
cooperation.Our
refines
theoretical
explanation
romantic
interaction
between
lovers.
Japanese Psychological Research,
Journal Year:
2018,
Volume and Issue:
60(4), P. 347 - 373
Published: July 19, 2018
Abstract
The
development
of
novel
miniaturized
wireless
and
wearable
functional
near‐infrared
spectroscopy
(fNIRS)
devices
has
paved
the
way
for
new
brain
imaging
that
could
revolutionize
cognitive
research
fields.
Over
past
few
decades,
several
studies
have
been
conducted
with
conventional
fNIRS
systems
demonstrated
suitability
this
technology
a
wide
variety
populations
applications,
to
investigate
both
healthy
diseased
brain.
However,
what
makes
even
more
appealing
is
its
capability
allow
measurements
in
everyday‐life
scenarios
are
not
possible
other
gold‐standard
neuroimaging
modalities,
such
as
magnetic
resonance
imaging.
This
huge
impact
on
we
explore
neural
bases
mechanisms
underpinning
human
functioning.
aim
review
provide
an
overview
naturalistic
settings
field
neuroscience.
In
addition,
present
challenges
associated
use
unrestrained
contexts,
discussing
solutions
will
accurate
inference
activity.
Finally,
future
perspectives
neuroscience
believe
would
benefit
most
from
study
devices.
Neurophotonics,
Journal Year:
2017,
Volume and Issue:
4(4), P. 041403 - 041403
Published: Aug. 1, 2017
Safe
locomotion
is
a
crucial
aspect
of
human
daily
living
that
requires
well-functioning
motor
control
processes.
The
neuromotor
activities
such
as
walking
relies
on
the
complex
interaction
subcortical
and
cortical
areas.
Technical
developments
in
neuroimaging
systems
allow
quantification
activation
during
execution
tasks.
Functional
near-infrared
spectroscopy
(fNIRS)
seems
to
be
promising
tool
monitor
processes
areas
freely
moving
subjects.
However,
so
far,
there
no
established
standardized
protocol
regarding
application
data
processing
fNIRS
signals
limits
comparability
among
studies.
Hence,
this
systematic
review
aimed
summarize
current
knowledge
about
studies
dealing
with
or
postural
Fifty-six
articles
an
initial
yield
1420
publications
were
reviewed
information
methodology,
processing,
findings
extracted.
Based
our
results,
we
outline
recommendations
respect
design
Future
perspectives
measuring
movement
science
are
discussed.
Sensors,
Journal Year:
2022,
Volume and Issue:
22(15), P. 5865 - 5865
Published: Aug. 5, 2022
Electroencephalography
(EEG)
and
functional
near-infrared
spectroscopy
(fNIRS)
stand
as
state-of-the-art
techniques
for
non-invasive
neuroimaging.
On
a
unimodal
basis,
EEG
has
poor
spatial
resolution
while
presenting
high
temporal
resolution.
In
contrast,
fNIRS
offers
better
resolution,
though
it
is
constrained
by
its
One
important
merit
shared
the
that
both
modalities
have
favorable
portability
could
be
integrated
into
compatible
experimental
setup,
providing
compelling
ground
development
of
multimodal
fNIRS-EEG
integration
analysis
approach.
Despite
growing
number
studies
using
concurrent
designs
reported
in
recent
years,
methodological
reference
past
remains
unclear.
To
fill
this
knowledge
gap,
review
critically
summarizes
status
methods
currently
used
studies,
an
up-to-date
overview
guideline
future
projects
to
conduct
studies.
A
literature
search
was
conducted
PubMed
Web
Science
through
31
August
2021.
After
screening
qualification
assessment,
92
involving
data
recordings
analyses
were
included
final
review.
Specifically,
three
categories
analyses,
including
EEG-informed
fNIRS-informed
parallel
identified
explained
with
detailed
description.
Finally,
we
highlighted
current
challenges
potential
directions
research.
