bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 14, 2023
Abstract
The
right
temporoparietal
junction
(rTPJ)
is
a
core
hub
in
neural
networks
associated
with
reorienting
of
attention
and
social
cognition.
However,
it
remains
unknown
whether
participants
can
learn
to
actively
modulate
their
rTPJ
activity
via
neurofeedback.
Here,
we
explored
the
feasibility
functional
near-infrared
spectroscopy
(fNIRS)-based
neurofeedback
modulating
its
effect
on
functions
such
as
visual
perspective
taking.
In
bidirectional
regulation
control
group
design,
50
healthy
were
either
reinforced
up-
or
downregulate
activation
over
four
days
training.
Both
groups
showed
an
increase
from
beginning
trainingbut
only
upregulation
maintained
this
effect,
while
downregulation
decline
initial
activation.
This
suggests
learning
exclusively,
making
challenging
draw
definitive
conclusions
about
effectiveness
observed
group-specific
effects
behavioral
level.
We
found
significant
x
time
interaction
performance
task
changes,
decreased
reaction
times
(RTs)
increased
RTs
across
all
conditions
after
Those
low
baseline
greater
improvements.
perspective-taking
task,
however,
that
non-group-specific.These
findings
demonstrate
fNIRS-based
feasible
method
preliminary
evidence
neurophysiologically
specific
effects,
thus
paving
way
for
future
applications
non-invasive
modulation
neuropsychiatric
disorders.
Graphical
abstract
Highlights
attentive
socio-cognitive
promising
target
neuromodulatory
interventions
first
single-blinded,
randomized
controlled
study
demonstrates
training
adults
subjects
are
able
regulate
different
characteristics
stimulus-driven
have
important
implications
clinical
translation
targeting
Functional
Near-Infrared
Spectroscopy
(fNIRS)
is
a
non-invasive
optical
technique
that
measures
cerebral
hemodynamics
across
multiple
regions
of
interest,
and
thereby
characterises
brain
functional
activation.
Since
its
first
description
in
1993,
fNIRS
has
undergone
substantial
developments
hardware,
analysis
techniques,
applications.
Thirty
years
later,
this
significantly
enchancing
our
understanding
diverse
areas
neuroscience
research
such
as
neurodevelopment,
cognitive
neuroscience,
psychiatric
disorders,
neurodegenerative
conditions,
injury
management
intensive
care
settings.
This
special
issue
outlines
the
latest
progress
instrumentation
techniques
showcases
some
applications
within
expanding
field
over
past
decade.
Open
science
practices
work
to
increase
methodological
rigor,
transparency,
and
replicability
of
published
findings.
We
aim
reflect
on
what
the
functional
near-infrared
spectroscopy
(fNIRS)
community
has
done
promote
open
in
fNIRS
research
set
goals
accomplish
over
next
10
years.
Frontiers in Aging Neuroscience,
Год журнала:
2023,
Номер
15
Опубликована: Июль 26, 2023
Mild
cognitive
impairment
(MCI)
is
often
described
as
an
intermediate
stage
of
the
normal
decline
associated
with
aging
and
dementia.
There
a
growing
interest
in
various
non-pharmacological
interventions
for
MCI
to
delay
onset
inhibit
progressive
deterioration
daily
life
functions.
Previous
studies
suggest
that
training
(CT)
contributes
restoration
working
memory
brain-computer-interface
technique
can
be
applied
elicit
more
effective
treatment
response.
However,
these
techniques
have
certain
limitations.
Thus,
this
preliminary
study,
we
neurofeedback
paradigm
during
CT
increase
function
patients
MCI.Near-infrared
spectroscopy
(NIRS)
was
used
provide
by
measuring
changes
oxygenated
hemoglobin
prefrontal
cortex.
Thirteen
elderly
who
received
CT-neurofeedback
sessions
four
times
on
left
dorsolateral
cortex
(dlPFC)
once
week
were
recruited
participants.Compared
pre-intervention,
activity
targeted
brain
region
increased
when
participants
first
engaged
training;
after
4
weeks
training,
oxygen
saturation
significantly
decreased
dlPFC.
The
demonstrated
improved
compared
pre-intervention
correlated
performance.Our
results
applications
evaluating
brain-computer
interfaces
aid
elucidation
subjective
mental
workload
may
create
additional
or
task
workloads
due
CT.
Imaging Neuroscience,
Год журнала:
2023,
Номер
1, С. 1 - 26
Опубликована: Авг. 18, 2023
Abstract
The
right
temporoparietal
junction
(rTPJ)
is
a
core
hub
in
neural
networks
associated
with
reorienting
of
attention
and
social
cognition.
However,
it
remains
unknown
whether
participants
can
learn
to
actively
modulate
their
rTPJ
activity
via
neurofeedback.
Here,
we
explored
the
feasibility
functional
near-infrared
spectroscopy
(fNIRS)-based
neurofeedback
modulating
its
effect
on
functions
such
as
visual
perspective
taking.
In
bidirectional
regulation
control
group
design,
50
healthy
were
reinforced
either
up-
or
downregulate
activation
over
4
days
training.
Both
groups
showed
an
increase
from
beginning
training
but
only
upregulation
maintained
this
effect,
while
downregulation
decline
initial
activation.
This
suggests
learning
exclusively,
making
challenging
draw
definitive
conclusions
about
effectiveness
observed
group-specific
effects
behavioral
level.
We
found
significant
x
time
interaction
performance
task
changes,
decreased
reaction
times
(RTs)
increased
RTs
across
all
conditions
after
Those
low
baseline
greater
improvements.
perspective-taking
task,
however,
that
non-group-specific.
These
findings
demonstrate
fNIRS-based
feasible
method
preliminary
evidence
neurophysiologically
specific
effects,
thus
paving
way
for
future
applications
non-invasive
modulation
neuropsychiatric
disorders.
Neurofeedback
allows
individuals
to
monitor
and
self-regulate
their
brain
activity,
potentially
improving
human
function.
Beyond
the
traditional
electrophysiological
approach
using
primarily
electroencephalography,
haemodynamics
measured
with
functional
magnetic
resonance
imaging
(fMRI)
more
recently,
near-infrared
spectroscopy
(fNIRS)
have
been
used
(haemodynamic-based
neurofeedback),
particularly
improve
spatial
specificity
of
neurofeedback.
Over
recent
years,
especially
fNIRS
has
attracted
great
attention
because
it
offers
several
advantages
over
fMRI
such
as
increased
user
accessibility,
cost-effectiveness
mobility—the
latter
being
most
distinct
feature
fNIRS.
The
next
logical
step
would
be
transfer
haemodynamic-based
neurofeedback
protocols
that
already
proven
validated
by
mobile
However,
this
undertaking
is
not
always
easy,
since
novices
may
miss
important
fNIRS-specific
methodological
challenges.
This
review
aimed
at
researchers
from
different
fields
who
seek
exploit
unique
capabilities
for
It
carefully
addresses
challenges
suggestions
possible
solutions.
If
raised
are
addressed
further
developed,
could
emerge
a
useful
technique
its
own
application
potential—the
targeted
training
activity
in
real-world
environments,
thereby
significantly
expanding
scope
scalability
applications.
Neurophysiologie Clinique,
Год журнала:
2024,
Номер
54(5), С. 102997 - 102997
Опубликована: Июль 10, 2024
Aberrant
movement-related
cortical
activity
has
been
linked
to
impaired
motor
function
in
Parkinson's
disease
(PD).
Dopaminergic
drug
treatment
can
restore
these,
but
dosages
and
long-term
are
limited
by
adverse
side-effects.
Effective
non-pharmacological
treatments
could
help
reduce
reliance
on
drugs.
This
experiment
reports
the
first
study
of
home-based
electroencephalographic
(EEG)
neurofeedback
training
as
a
candidate
for
PD.
Our
primary
aim
was
test
feasibility
our
EEG
intervention
home
setting.
Sixteen
people
with
PD
received
six
visits
comprising
symptomology
self-reports,
standardised
assessment,
precision
handgrip
force
production
task
while
recorded
(visits
1,
2
6);
3
×
1-hr
sessions
supress
mu
rhythm
before
initiating
movements
5).
Participants
successfully
learned
self-regulate
activity,
this
appeared
expedite
initiation
(i.e.,
time
reach
target
off-medication
pre-intervention
=
628
ms,
post-intervention
564
ms).
There
no
evidence
wider
reduction
(e.g.,
Movement
Disorder
Society
Unified
Disease
Rating
Scale
Part
III
Motor
Examination,
29.00,
post
30.07).
Interviews
indicated
that
well-received.
Based
significant
effect
positive
qualitative
from
participants,
suggestive
benefit
movement
initiation,
we
conclude
is
feasible
promising
warrants
further
research.
Open
research
is
best
described
as
“an
umbrella
term
used
to
refer
the
concepts
of
openness,
transparency,
rigor,
reproducibility,
replicability,
and
accumulation
knowledge”
(Crüwell
et
al.,
2019,
p.
3).
Although
a
lot
open
practices
have
commonly
been
discussed
under
“open
science”,
applies
all
disciplines.
If
concept
new
you,
it
might
be
difficult
for
you
determine
how
can
apply
your
research.
The
aim
this
document
provide
resources
examples
that
are
relevant
discipline.
lists
case
studies
per
discipline,
discipline
(organised
as:
general,
methods,
data,
output
education).
Note
updated
annually
each
Autumn
(last
update
25th
November
2024).
also
from
October
2022
in
were
made
available
webpages
here:
https://www.ukrn.org/disciplines/
While
still
relatively
rare,
longitudinal
hyperscanning
studies
are
exceptionally
valuable
for
documenting
changes
in
inter-brain
synchrony,
which
may
turn
underpin
how
behaviors
develop
and
evolve
social
settings.
The
generalizability
ecological
validity
of
this
experimental
approach
hinges
on
the
selected
imaging
technique
being
mobile–a
requirement
met
by
functional
near-infrared
spectroscopy
(fNIRS).
fNIRS
has
most
frequently
been
used
to
examine
development
synchrony
behavior
child-parent
dyads.
We
propose
that
dedicating
attention
intergenerational
stands
benefit
fields
cognitive
neuroscience
more
broadly.
This
is
particularly
relevant
understanding
neural
mechanisms
underpinning
dynamics,
potentially
benchmarking
progress
psychological
interventions,
many
situated
contexts.
In
position
paper,
we
highlight
areas
research
stand
be
enhanced
with
mobile
devices,
describe
challenges
arise
from
measuring
across
generations
real
world,
offer
potential
solutions.
The
optical
brain
imaging
method
functional
near-infrared
spectroscopy
(fNIRS)
is
a
promising
tool
for
real-time
applications
such
as
neurofeedback
and
brain-computer
interfaces.
Its
combination
of
spatial
specificity
mobility
makes
it
particularly
attractive
clinical
use,
both
at
the
bedside
in
patients’
homes.
Despite
these
advantages,
optimizing
fNIRS
use
requires
careful
attention
to
two
key
aspects:
ensuring
good
maintaining
high
signal
quality.
While
detects
superficial
cortical
regions,
consistently
reliably
targeting
specific
regions
interest
can
be
challenging,
studies
that
require
repeated
measurements.
Variations
cap
placement
coupled
with
limited
anatomical
information
may
further
reduce
this
accuracy.
Furthermore,
important
tomaintain
quality
contexts
ensure
they
reflect
true
underlying
activity.
However,
signals
are
susceptible
contamination
by
cerebral
extracerebral
systemic
noise
well
motion
artifacts.
Insuffcient
preprocessing
therefore
cause
system
run
on
instead
aim
review
article
help
advance
progress
fNIRS-based
applications.
It
highlights
potential
challenges
improving
quality,
discusses
possible
options
overcome
challenges,
addresses
considerations
relevant
By
addressing
topics,
aims
improve
planning
execution
future
studies,
thereby
increasing
their
reliability
repeatability.