Hearing Research,
Год журнала:
2016,
Номер
339, С. 142 - 154
Опубликована: Июль 21, 2016
Functional
near-infrared
spectroscopy
(fNIRS)
is
a
silent,
non-invasive
neuroimaging
technique
that
potentially
well
suited
to
auditory
research.
However,
the
reliability
of
auditory-evoked
activation
measured
using
fNIRS
largely
unknown.
The
present
study
investigated
test-retest
speech-evoked
responses
in
normally-hearing
adults.
Seventeen
participants
underwent
imaging
two
sessions
separated
by
three
months.
In
block
design,
were
presented
with
speech,
visual
speech
(silent
speechreading),
and
audiovisual
conditions.
Optode
arrays
placed
bilaterally
over
temporal
lobes,
targeting
brain
regions.
A
range
established
metrics
was
used
quantify
reproducibility
cortical
patterns,
as
amplitude
time
course
haemodynamic
response
within
predefined
regions
interest.
use
signal
processing
algorithm
designed
reduce
influence
systemic
physiological
signals
found
be
crucial
achieving
reliable
detection
significant
at
group
level.
For
(with
or
without
cues),
good
excellent
level,
but
highly
variable
among
individuals.
Temporal-lobe
less
reliable,
especially
right
hemisphere.
Consistent
previous
reports,
improved
averaging
across
small
number
channels
overlying
region
Overall,
results
confirm
can
measure
adults
are
indicate
noise
may
substantially
improve
measurements.
Algorithms,
Год журнала:
2018,
Номер
11(5), С. 73 - 73
Опубликована: Май 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,
Год журнала:
2018,
Номер
7(12), С. 466 - 466
Опубликована: Ноя. 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
The
application
of
functional
near-infrared
spectroscopy
(fNIRS)
in
the
neurosciences
has
been
expanding
over
last
40
years.
Today,
it
is
addressing
a
wide
range
applications
within
different
populations
and
utilizes
great
variety
experimental
paradigms.
With
rapid
growth
diversification
research
methods,
some
inconsistencies
are
appearing
way
which
methods
presented,
can
make
interpretation
replication
studies
unnecessarily
challenging.
Society
for
Functional
Near-Infrared
Spectroscopy
thus
motivated
to
organize
representative
(but
not
exhaustive)
group
leaders
field
build
consensus
on
best
practices
describing
utilized
fNIRS
studies.
Our
paper
designed
provide
guidelines
help
enhance
reliability,
repeatability,
traceability
reported
encourage
throughout
community.
A
checklist
provided
guide
authors
preparation
their
manuscripts
assist
reviewers
when
evaluating
papers.
The
employment
of
functional
near-infrared
spectroscopy
(fNIRS)
as
a
method
brain
imaging
has
increased
over
the
last
few
years
due
to
its
portability,
low-cost
and
robustness
subject
movement.
Experiments
with
fNIRS
are
designed
in
face
limited
number
sources
detectors
(optodes)
be
positioned
on
selected
portion(s)
scalp.
optodes
locations
represent
an
expectation
assessing
cortical
regions
relevant
experiment's
hypothesis.
However,
this
translation
process
remains
challenge
for
experimental
design.
In
present
study,
we
propose
approach
that
automatically
decides
location
from
set
predefined
positions
aim
maximizing
anatomical
specificity
regions-of-interest.
implemented
is
based
photon
transport
simulations
two
head
atlases.
results
compiled
into
publicly
available
"fNIRS
Optodes'
Location
Decider"
(fOLD).
This
toolbox
first-order
bring
achieved
advancements
parcellation
methods
meta-analyses
magnetic
resonance
more
precisely
guide
selection
optode
experiments.
Japanese Psychological Research,
Год журнала:
2018,
Номер
60(4), С. 347 - 373
Опубликована: Июль 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.
This
report
is
the
second
part
of
a
comprehensive
two-part
series
aimed
at
reviewing
an
extensive
and
diverse
toolkit
novel
methods
to
explore
brain
health
function.
While
first
focused
on
neurophotonic
tools
mostly
applicable
animal
studies,
here,
we
highlight
optical
spectroscopy
imaging
relevant
noninvasive
human
studies.
We
outline
current
state-of-the-art
technologies
software
advances,
most
recent
impact
these
neuroscience
clinical
applications,
identify
areas
where
innovation
needed,
provide
outlook
for
future
directions.
Frontiers in Human Neuroscience,
Год журнала:
2018,
Номер
11
Опубликована: Янв. 8, 2018
Even
though
research
in
the
field
of
functional
near-infrared
spectroscopy
(fNIRS)
is
being
conducted
for
more
than
20
years,
a
consensus
on
signal
processing
methods
still
lacking.
A
significant
knowledge
gap
exists
between
established
researchers
and
those
newly
entering
field.
One
major
issue
regularly
observed
publications
from
new
this
neglect
possible
contamination
by
hemodynamic
changes
unrelated
to
neurovascular
coupling
(i.e.
scalp
blood
flow
systemic
flow).
This
might
be
due
fact
that
these
use
with
tools
provided
manufacturers
their
devices
without
an
advanced
understanding
performed
steps.
The
aim
present
study
was
investigate
how
different
approaches
(including
excluding
partially
correct
contamination)
affect
results
typical
neuroimaging
fNIRS.
In
particular,
we
evaluated
one
standard
method
commercial
company
compared
it
three
customized
investigated
influence
chosen
statistical
outcome
clinical
data
set
(task-evoked
motor
cortex
activity).
No
short-channels
were
used
therefore
two
types
multi-channel
corrections
based
multiple
long-channels
applied.
choice
had
considerable
study.
While
ignored
fNIRS
signals
task-evoked
physiological
noise
yielded
several
responses
over
whole
head,
significance
findings
disappeared
when
accounting
using
regression.
We
conclude
that,
lacking
possibility
applying
multi-distance
measurements,
adoption
confounding
effect,
yield
realistic
results.
Furthermore,
do
not
recommend
as
having
every
step.
Proceedings of the National Academy of Sciences,
Год журнала:
2017,
Номер
114(38), С. 10256 - 10261
Опубликована: Авг. 14, 2017
Significance
Following
sensory
deprivation,
the
brain
regions
can
become
colonized
by
other
intact
modalities.
In
deaf
individuals,
evidence
suggests
that
visual
language
recruits
auditory
and
may
limit
hearing
restoration
with
a
cochlear
implant.
This
suggestion
underpins
current
rehabilitative
recommendations
individuals
undergoing
implantation
should
avoid
using
language.
However,
here
we
show
opposite:
Recruitment
of
speech
after
is
associated
better
understanding
adaptive
benefits
communication
because
serve
to
optimize,
rather
than
hinder,
following
implantation.
These
findings
have
implications
for
both
neuroscientific
theory
clinical
rehabilitation
implant
patients
worldwide.