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.
Annals of the New York Academy of Sciences,
Journal Year:
2018,
Volume and Issue:
1464(1), P. 5 - 29
Published: Aug. 7, 2018
Abstract
The
past
few
decades
have
seen
a
rapid
increase
in
the
use
of
functional
near‐infrared
spectroscopy
(fNIRS)
cognitive
neuroscience.
This
fast
growth
is
due
to
several
advances
that
fNIRS
offers
over
other
neuroimaging
modalities
such
as
magnetic
resonance
imaging
and
electroencephalography/magnetoencephalography.
In
particular,
harmless,
tolerant
bodily
movements,
highly
portable,
being
suitable
for
all
possible
participant
populations,
from
newborns
elderly
experimental
settings,
both
inside
outside
laboratory.
this
review
we
aim
provide
comprehensive
state‐of‐the‐art
basics,
technical
developments,
applications.
discuss
some
open
challenges
potential
neuroscience
research,
with
particular
focus
on
naturalistic
environments
social
Algorithms,
Journal Year:
2018,
Volume and Issue:
11(5), P. 73 - 73
Published: May 16, 2018
Functional
near-infrared
spectroscopy
(fNIRS)
is
a
noninvasive
neuroimaging
technique
that
uses
low-levels
of
light
(650–900
nm)
to
measure
changes
in
cerebral
blood
volume
and
oxygenation.
Over
the
last
several
decades,
this
has
been
utilized
growing
number
functional
resting-state
brain
studies.
The
lower
operation
cost,
portability,
versatility
method
make
it
an
alternative
methods
such
as
magnetic
resonance
imaging
for
studies
pediatric
special
populations
without
confining
limitations
supine
motionless
acquisition
setup.
However,
analysis
fNIRS
data
poses
challenges
stemming
from
unique
physics
technique,
statistical
properties
data,
diversity
non-traditional
experimental
designs
being
due
flexibility
technology.
For
these
reasons,
specific
technology
must
be
developed.
In
paper,
we
introduce
NIRS
Brain
AnalyzIR
toolbox
open-source
Matlab-based
package
management,
pre-processing,
first-
second-level
(i.e.,
single
subject
group-level)
analysis.
Here,
describe
basic
architectural
format
toolbox,
which
based
on
object-oriented
programming
paradigm.
We
also
detail
algorithms
major
components
including
analysis,
probe
registration,
image
reconstruction,
region-of-interest
statistics.
Journal of Clinical Medicine,
Journal Year:
2018,
Volume and Issue:
7(12), P. 466 - 466
Published: Nov. 22, 2018
For
cognitive
processes
to
function
well,
it
is
essential
that
the
brain
optimally
supplied
with
oxygen
and
blood.
In
recent
years,
evidence
has
emerged
suggesting
cerebral
oxygenation
hemodynamics
can
be
modified
physical
activity.
To
better
understand
relationship
between
oxygenation/hemodynamics,
activity,
cognition,
application
of
state-of-the
art
neuroimaging
tools
essential.
Functional
near-infrared
spectroscopy
(fNIRS)
such
a
tool
especially
suitable
investigate
effects
activity/exercises
on
due
its
capability
quantify
changes
in
concentration
oxygenated
hemoglobin
(oxyHb)
deoxygenated
(deoxyHb)
non-invasively
human
brain.
However,
currently
there
no
clear
standardized
procedure
regarding
application,
data
processing,
analysis
fNIRS,
large
heterogeneity
how
fNIRS
applied
field
exercise–cognition
science.
Therefore,
this
review
aims
summarize
current
methodological
knowledge
about
studies
measuring
cortical
hemodynamic
responses
during
testing
(i)
prior
after
different
activities
interventions,
(ii)
cross-sectional
accounting
for
fitness
level
their
participants.
Based
methodology
35
as
relevant
considered
publications,
we
outline
recommendations
future
Frontiers in Human Neuroscience,
Journal Year:
2020,
Volume and Issue:
14
Published: Feb. 28, 2020
Social
interactions
are
a
crucial
part
of
human
life.
Understanding
the
neural
underpinnings
social
is
challenging
task
that
hyperscanning
method
has
been
trying
to
tackle
over
last
two
decades.
Here,
we
review
existing
literature
and
evaluate
current
state
method.
We
type
methods
(fMRI,
M/EEG,
fNIRS)
used
measure
brain
activity
from
more
than
one
participant
simultaneously
weigh
their
pros
cons
for
hyperscanning.
Further,
discuss
different
types
analyses
estimate
networks
synchronization.
Lastly,
present
results
studies
in
context
cognitive
functions
relations
interactions.
All
all,
aim
comprehensively
methods,
analyses,
20
years
research.
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.
Frontiers in Human Neuroscience,
Journal Year:
2017,
Volume and Issue:
11
Published: Aug. 18, 2017
Although
blood
oxygen
level
dependent
(BOLD)
functional
magnetic
resonance
imaging
(fMRI)
is
a
widely
available,
non-invasive
technique
that
offers
excellent
spatial
resolution,
it
remains
limited
by
practical
constraints
imposed
the
scanner
environment.
More
recently,
near
infrared
spectroscopy
(fNIRS)
has
emerged
as
an
alternative
hemodynamic-based
approach
possesses
number
of
strengths
where
fMRI
limited,
most
notably
in
portability
and
higher
tolerance
for
motion.
To
date,
fNIRS
shown
promise
its
ability
to
shed
light
on
functioning
human
brain
populations
contexts
previously
inaccessible
fMRI.
Notable
contributions
include
infant
neuroimaging
studies
examining
full-body
behaviours,
such
exercise.
However,
much
like
fMRI,
technical
have
application
clinical
settings,
including
lower
resolution
depth
recording.
Thus,
combining
way
two
methods
complement
each
other,
multimodal
may
allow
more
complex
research
paradigms
than
feasible
with
either
alone.
In
these
issues,
purpose
current
review
1)
provide
overview
their
associated
limitations,
2)
existing
combined
fMRI-fNIRS
recording
studies,
3)
discuss
how
use
future
practices
aid
advancing
modern
investigations
function.
Neurophotonics,
Journal Year:
2021,
Volume and Issue:
8(01)
Published: Jan. 25, 2021
Significance:
Functional
near-infrared
spectroscopy
(fNIRS)
has
been
widely
used
to
probe
human
brain
function
during
task
state
and
resting
state.
However,
the
existing
analysis
toolboxes
mainly
focus
on
activation
analysis,
few
software
packages
can
assist
resting-state
fNIRS
studies.
Aim:
We
aimed
provide
a
versatile
easy-to-use
toolbox
perform
for
both
fNIRS.
Approach:
developed
MATLAB
called
NIRS-KIT
that
works
detection.
Results:
implements
common
necessary
processing
steps
performing
data
including
preparation,
quality
control,
preprocessing,
individual-level
group-level
statistics
with
several
popular
statistical
models,
multiple
comparison
correction
methods,
finally
results
visualization.
For
functional
connectivity
graph
theory-based
network
amplitude
of
low-frequency
fluctuations
are
provided.
Additionally,
also
supports
Conclusions:
offers
an
open
source
tool
researchers
analyze
and/or
in
one
suite.
It
contains
key
features:
(1)
good
compatibility,
supporting
recording
systems,
formats
NIRS-SPM
Homer2,
shared
format
recommended
by
society;
(2)
flexibility,
customized
preprocessing
scripts;
(3)
ease-to-use,
allowing
signals
batch
manner
user-friendly
graphical
user
interfaces;
(4)
feature-packed
viewing
result
anticipate
this
will
facilitate
development
field.
Brain Sciences,
Journal Year:
2021,
Volume and Issue:
11(2), P. 221 - 221
Published: Feb. 11, 2021
Our
access
to
computer-generated
worlds
changes
the
way
we
feel,
how
think,
and
solve
problems.
In
this
review,
explore
utility
of
different
types
virtual
reality,
immersive
or
non-immersive,
for
providing
controllable,
safe
environments
that
enable
individual
training,
neurorehabilitation,
even
replacement
lost
functions.
The
neurobiological
effects
reality
on
neuronal
plasticity
have
been
shown
result
in
increased
cortical
gray
matter
volumes,
higher
concentration
electroencephalographic
beta-waves,
enhanced
cognitive
performance.
Clinical
application
is
aided
by
innovative
brain–computer
interfaces,
which
allow
direct
tapping
into
electric
activity
generated
brain
areas
precise
voluntary
control
connected
robotic
devices.
Virtual
also
valuable
healthy
individuals
as
a
narrative
medium
redesigning
their
stories
an
integrative
process
self-improvement
personal
development.
Future
upgrades
reality-based
technologies
promise
help
humans
transcend
limitations
biological
bodies
augment
capacity
mold
physical
better
meet
needs
globalized
world.
