bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 19, 2024
Abstract
The
acquisition
of
new
skills
is
facilitated
by
providing
individuals
with
feedback
that
reflects
their
performance.
This
process
creates
a
closed
loop
involves
processing
and
regulation
recalibration
to
promote
effective
training.
Functional
magnetic
resonance
imaging
(fMRI)-based
neurofeedback
unique
in
applying
this
principle
delivering
direct
on
the
self-regulation
brain
activity.
Understanding
how
feedback-driven
learning
occurs
requires
examining
evaluated
adjusts
response
signals.
In
pre-registered
mega-analysis,
we
re-analyzed
data
from
eight
intermittent
fMRI
studies
(N
=
153
individuals)
investigate
regions
where
activity
connectivity
are
linked
(i.e.,
after
feedback)
during
We
harmonized
scores
presented
training
these
computed
linear
associations
using
parametric
general
model
analyses.
observed
that,
processing,
were
positively
associated
(1)
reward
system,
dorsal
attention
network,
default
mode
cerebellum;
(2)
system-related
within
salience
network.
During
recalibration,
no
significant
between
either
or
associative
learning-related
connectivity.
Our
results
suggest
processed
supporting
theory
reinforcement
shapes
form
addition,
involvement
large-scale
networks
continuously
transitioning
evaluating
external
internally
assessing
adopted
cognitive
state,
suggests
higher-level
integral
type
learning.
findings
highlight
pivotal
role
performance-related
as
driving
force
learning,
potentially
extending
beyond
other
feedback-based
processes.
Key
Points
conducted
mega-analysis
integrating
examine
was
well
found
positive
blocks;
however,
additional
analyses
may
have
already
occurred
presentation.
European Journal of Neuroscience,
Год журнала:
2024,
Номер
60(12), С. 7164 - 7182
Опубликована: Ноя. 26, 2024
Abstract
Impact
statement
This
study
addresses
the
pressing
issue
of
subjective
cognitive
decline
in
aging
populations
by
investigating
neurofeedback
(NFB)
as
a
potential
early
therapeutic
intervention.
By
evaluating
efficacy
individualised
NFB
training
compared
to
standard
protocols,
tailored
each
participant's
EEG
profile,
it
provides
novel
insights
into
personalised
treatment
approaches.
The
incorporation
innovative
elements
and
rigorous
analytical
techniques
contributes
advancing
our
understanding
NFB's
modulatory
effects
on
frequencies
function
individuals.
In
context
an
population,
concerns
surrounding
memory
become
increasingly
prevalent,
particularly
individuals
transition
middle
age
beyond.
investigated
intervention
address
(SCD)
populations.
NFB,
biofeedback
technique
utilising
brain‐computer
interface,
has
demonstrated
promise
various
neurological
psychological
conditions.
Here,
we
evaluated
training,
protocol
aimed
at
increasing
peak
alpha
frequency
power,
enhancing
among
experiencing
SCD.
Our
incorporated
elements,
including
implementation
criterion
for
learning
success
ensure
consistent
achievement
levels
conclusion
sessions.
Additionally,
introduced
non‐learner
group
account
who
do
not
demonstrate
expected
proficiency
regulation.
Analysis
electroencephalographic
(EEG)
signals
during
sessions,
well
before
after
frequencies.
Contrary
expectations,
analysis
revealed
that
ability
with
SCD
modulate
signal
power
duration
specific
was
exclusive
intended
target.
Furthermore,
examination
recorded
using
high‐density
showed
no
discernible
alteration
between
pre‐
post‐NFB
Similarly,
significant
were
observed
questionnaire
scores
when
comparing
assessments.
Frontiers in Human Neuroscience,
Год журнала:
2022,
Номер
16
Опубликована: Авг. 24, 2022
Dysregulated
frontostriatal
circuitries
are
viewed
as
a
common
target
for
the
treatment
of
aberrant
behaviors
in
various
psychiatric
and
neurological
disorders.
Accordingly,
experimental
neurofeedback
paradigms
have
been
applied
to
modify
circuitry.
The
human
circuitry
is
topographically
functionally
organized
into
"limbic,"
"associative,"
"motor"
subsystems
underlying
variety
affective,
cognitive,
motor
functions.
We
conducted
systematic
review
literature
regarding
functional
magnetic
resonance
imaging-based
studies
that
targeted
brain
activations
within
Seventy-nine
published
were
included
our
survey.
assessed
efficacy
these
terms
imaging
findings
intervention
well
behavioral
clinical
outcomes.
Furthermore,
we
evaluated
whether
targets
could
be
assigned
identifiable
subsystems.
majority
functions
focused
on
anterior
cingulate
cortex,
dorsolateral
prefrontal
supplementary
area.
Only
few
(
NeuroImage,
Год журнала:
2022,
Номер
266, С. 119822 - 119822
Опубликована: Дек. 16, 2022
The
right
inferior
frontal
gyrus
(rIFG)
is
a
region
involved
in
the
neural
underpinning
of
cognitive
control
across
several
domains
such
as
inhibitory
and
attentional
allocation
process.
Therefore,
it
constitutes
desirable
target
for
brain-guided
interventions
neurofeedback
(NF).
To
date,
rIFG-NF
has
shown
beneficial
ability
to
rehabilitate
or
enhance
functions
using
functional
Magnetic
Resonance
Imaging
(fMRI-NF).
However,
utilization
fMRI-NF
clinical
purposes
severely
limited,
due
its
poor
scalability.
present
study
aimed
overcome
limited
applicability
by
developing
validating
an
EEG
model
fMRI-defined
rIFG
activity
(hereby
termed
"Electrical
FingerPrint
rIFG";
rIFG-EFP).
validate
computational
model,
we
employed
two
experiments
healthy
individuals.
first
(n
=
14)
test
engagement
employing
rIFG-EFP-NF
training
while
simultaneously
acquiring
fMRI.
second
41)
outcome
sessions
risk
preference
task
(known
depict
processes),
before
after
training.
Results
from
demonstrated
expected,
showing
associated
rIFG-BOLD
signal
changing
during
simultaneous
Target
anatomical
specificity
was
verified
more
precise
prediction
rIFG-EFP
compared
other
EFP
models.
suggested
that
successful
learning
up-regulate
through
NF
can
reduce
one's
tendency
taking,
indicating
improved
rIFG-EFP-NF.
Overall,
our
results
confirm
validity
scalable
method
targeting
probe.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 19, 2024
Abstract
The
acquisition
of
new
skills
is
facilitated
by
providing
individuals
with
feedback
that
reflects
their
performance.
This
process
creates
a
closed
loop
involves
processing
and
regulation
recalibration
to
promote
effective
training.
Functional
magnetic
resonance
imaging
(fMRI)-based
neurofeedback
unique
in
applying
this
principle
delivering
direct
on
the
self-regulation
brain
activity.
Understanding
how
feedback-driven
learning
occurs
requires
examining
evaluated
adjusts
response
signals.
In
pre-registered
mega-analysis,
we
re-analyzed
data
from
eight
intermittent
fMRI
studies
(N
=
153
individuals)
investigate
regions
where
activity
connectivity
are
linked
(i.e.,
after
feedback)
during
We
harmonized
scores
presented
training
these
computed
linear
associations
using
parametric
general
model
analyses.
observed
that,
processing,
were
positively
associated
(1)
reward
system,
dorsal
attention
network,
default
mode
cerebellum;
(2)
system-related
within
salience
network.
During
recalibration,
no
significant
between
either
or
associative
learning-related
connectivity.
Our
results
suggest
processed
supporting
theory
reinforcement
shapes
form
addition,
involvement
large-scale
networks
continuously
transitioning
evaluating
external
internally
assessing
adopted
cognitive
state,
suggests
higher-level
integral
type
learning.
findings
highlight
pivotal
role
performance-related
as
driving
force
learning,
potentially
extending
beyond
other
feedback-based
processes.
Key
Points
conducted
mega-analysis
integrating
examine
was
well
found
positive
blocks;
however,
additional
analyses
may
have
already
occurred
presentation.
