Frontiers in Human Neuroscience,
Journal Year:
2018,
Volume and Issue:
12
Published: March 26, 2018
Relationships
between
neuroimaging
measures
and
behavior
provide
important
clues
about
brain
function
cognition
in
healthy
clinical
populations.
While
electroencephalography
(EEG)
provides
a
portable,
low
cost
measure
of
dynamics,
it
has
been
somewhat
underrepresented
the
emerging
field
model-based
inference.
We
seek
to
address
this
gap
article
by
highlighting
utility
linking
EEG
behavior,
with
an
emphasis
on
approaches
for
analysis
that
move
beyond
focusing
peaks
or
"components"
derived
from
averaging
responses
across
trials
subjects
(generating
event-related
potential,
ERP).
First,
we
review
methods
deriving
features
order
enhance
signal
within
single-trials.
These
include
filtering
based
user-defined
(i.e.,
frequency
decomposition,
time-frequency
decomposition),
data-driven
properties
blind
source
separation,
BSS),
generating
more
abstract
representations
data
(e.g.,
using
deep
learning).
then
cognitive
models
which
extract
latent
variables
experimental
tasks,
including
drift
diffusion
model
(DDM)
reinforcement
learning
(RL)
approaches.
Next,
discuss
ways
access
associations
among
these
measures,
statistical
models,
joint
modeling
hierarchical
Bayesian
(HBMs).
think
methodological
tools
are
likely
contribute
theoretical
advancements,
will
help
inform
our
understandings
dynamics
moment-to-moment
function.
International Journal of Stroke,
Journal Year:
2016,
Volume and Issue:
11(4), P. 454 - 458
Published: April 12, 2016
Stroke
recovery
is
the
next
frontier
in
stroke
medicine.
While
growth
rehabilitation
and
research
exponential,
a
number
of
barriers
hamper
our
ability
to
rapidly
progress
field.
Standardized
terminology
absent
both
animal
human
research,
methods
are
poorly
described,
biomarkers
not
well
defined,
we
lack
consistent
timeframes
or
measures
examine
outcomes.
Agreed
conventions
for
developing,
monitoring,
evaluating
reporting
interventions
directed
at
improving
lacking,
current
approaches
often
underpinned
by
biology.
We
urgently
need
better
understand
biology
its
time
course
animals
humans
translate
evidence
from
basic
science
into
clinical
trials.
A
new
international
partnership
experts
has
committed
advancing
agenda.
In
May
2016,
first
Recovery
Rehabilitation
Roundtable
will
be
held,
with
aim
achieving
an
agreed
approach
development,
conduct
research.
range
used
achieve
consensus
four
priority
areas:
pre-clinical
research;
recovery;
intervention
monitoring
reporting;
measurement
hope
foster
global
network
researchers
this
exciting
challenging
many
survivors.
They
deserve
effective
treatments
evolving
understanding
brain
behaviour.
Working
together,
can
develop
game-changing
improve
quality
life
those
living
stroke.
Neurorehabilitation and neural repair,
Journal Year:
2017,
Volume and Issue:
31(10-11), P. 923 - 933
Published: Oct. 1, 2017
Background.
Although
rehabilitation
therapy
is
commonly
provided
after
stroke,
many
patients
do
not
derive
maximal
benefit
because
of
access,
cost,
and
compliance.
A
telerehabilitation-based
program
may
overcome
these
barriers.
We
designed,
then
evaluated
a
home-based
telerehabilitation
system
in
with
chronic
hemiparetic
stroke.
Methods.
Patients
were
3
to
24
months
poststroke
stable
arm
motor
deficits.
Each
received
28
days
using
delivered
their
home.
day
consisted
1
structured
hour
focused
on
individualized
exercises
games,
stroke
education,
an
free
play.
Results.
Enrollees
(n
=
12)
had
baseline
Fugl-Meyer
(FM)
scores
39
±
12
(mean
SD).
Compliance
was
excellent:
participants
engaged
329/336
(97.9%)
assigned
days.
Arm
repetitions
across
the
averaged
24,607
9934
per
participant.
status
showed
significant
gains
(FM
change
4.8
3.8
points,
P
.0015),
half
exceeding
minimal
clinically
important
difference.
tests
computer
literacy
declined
age
(
r
−0.92;
<
.0001),
neither
nor
amount
use
varied
literacy.
Daily
education
via
associated
39%
increase
prevention
knowledge
.0007).
Depression
obtained
person
correlated
16
later
0.88;
.0001).
In-person
blood
pressure
values
closely
matched
those
this
0.99;
Conclusions.
This
effective
providing
telerehabilitation,
secondary
participants.
Use
computer-based
interface
offers
opportunities
monitor
improve
health
Neurorehabilitation and neural repair,
Journal Year:
2017,
Volume and Issue:
31(10-11), P. 864 - 876
Published: Oct. 1, 2017
The
most
difficult
clinical
questions
in
stroke
rehabilitation
are
“What
is
this
patient’s
potential
for
recovery?”
and
the
best
strategy
person,
given
her/his
profile?”
Without
answers
to
these
questions,
clinicians
struggle
make
decisions
regarding
content
focus
of
therapy,
researchers
design
studies
that
inadvertently
mix
participants
who
have
a
high
likelihood
responding
with
those
do
not.
Developing
implementing
biomarkers
distinguish
patient
subgroups
will
help
address
issues
unravel
factors
important
recovery
process.
goal
present
paper
provide
consensus
statement
current
state
evidence
biomarkers.
Biomarkers
motor,
somatosensory,
cognitive
language
domains
across
timeline
post-stroke
considered;
on
brain
structure
function,
exclusion
blood
markers
genetics.
We
considered
ready
be
included
trials,
as
well
others
promising
but
not
so
represent
developmental
priority.
conclude
an
example
illustrates
utility
research,
demonstrating
how
inclusion
biomarker
may
enhance
future
trials.
In
way,
we
propose
way
forward
when
where
can
include
advance
efficacy
practice
of,
research
into,
after
stroke.
Frontiers in Neuroscience,
Journal Year:
2019,
Volume and Issue:
13
Published: March 29, 2019
Stroke
is
a
leading
cause
of
disability
worldwide,
and
in
approximately
60%
individuals,
upper
limb
deficits
persist
6
months
after
stroke.
These
adversely
affect
the
functional
use
restrict
participation
day
to
activities.
An
important
goal
stroke
rehabilitation
improve
quality
life
by
enhancing
independence
Since
are
one
best
predictors
stroke,
effective
interventions
targeting
these
may
represent
means
life.
increased
understanding
neurobiological
processes
underlying
recovery
has
led
development
targeted
approaches
motor
deficits.
One
such
strategy
uses
brief
bursts
Vagus
Nerve
Stimulation
(VNS)
paired
with
enhance
plasticity
support
function
chronic
vagus
nerve
triggers
release
promoting
neuromodulators,
as
acetylcholine
norepinephrine,
throughout
cortex.
Timed
engagement
neuromodulators
concurrent
training
drives
task-specific
cortex
provides
basis
for
VNS
therapy.
A
number
studies
preclinical
models
ischemic
demonstrated
that
rehabilitative
significantly
improved
forelimb
compared
without
VNS.
The
improvements
were
associated
synaptic
reorganization
cortical
networks
recruitment
residual
neurons
controlling
impaired
forelimb,
demonstrating
putative
mechanisms
function.
provided
conducting
two
multi-site,
randomized
controlled
pilot
trials
individuals
moderate
severe
weakness
In
both
studies,
alone.
120-patient
pivotal
study
designed
evaluate
efficacy
therapy
This
manuscript
will
discuss
rationale
therapy,
provide
an
in-depth
discussion
animal
human
outline
challenges
opportunities
future
Frontiers in Human Neuroscience,
Journal Year:
2019,
Volume and Issue:
13
Published: June 19, 2019
Rehabilitation
for
stroke
patients
with
severe
motor
impairments
(e.g.,
inability
to
perform
wrist
or
finger
extension
on
the
affected
side)
is
burdensome
and
difficult
because
most
current
rehabilitation
options
require
some
volitional
movement
retrain
side.
However,
although
these
participate
in
therapy
requiring
movement,
previous
research
has
shown
that
they
may
receive
modest
benefits
from
action
observation,
virtual
reality
(VR),
brain-computer
interfaces
(BCIs).
These
approaches
have
success
strengthening
key
pathways
thought
support
recovery
after
stroke,
absence
of
movement.
The
purpose
this
study
was
combine
principles
VR
BCI
a
platform
called
REINVENT
assess
its
effects
four
chronic
across
different
levels
impairment.
acquires
post-stroke
EEG
signals
indicate
an
attempt
move
drives
avatar
arm,
allowing
patient-driven
observation
neurofeedback
VR.
In
addition,
synchronous
electromyography
(EMG)
data
were
also
captured
monitor
overt
muscle
activity.
Here
we
tested
survivors
show
EEG-based
can
be
safely
used
over
repeated
sessions
by
wide
range
disabilities.
Finally,
individual
results
suggest
more
benefit
neurofeedback,
while
mild
EMG-based
feedback,
harnessing
existing
sensorimotor
pathways.
We
note
work
promising,
due
small
sample
size,
are
preliminary.
Future
needed
confirm
findings
larger
diverse
population.
Journal of Neurophysiology,
Journal Year:
2016,
Volume and Issue:
115(5), P. 2399 - 2405
Published: March 2, 2016
EEG
has
been
used
to
study
acute
stroke
for
decades;
however,
because
of
several
limitations
EEG-based
measures
rarely
inform
clinical
decision-making
in
this
setting.
Recent
advances
hardware,
recording
electrodes,
and
software
could
overcome
these
limitations.
The
present
examined
how
well
dense-array
(256
electrodes)
EEG,
acquired
with
a
saline-lead
net
analyzed
whole
brain
partial
least
squares
(PLS)
modeling,
captured
extent
behavioral
deficits
varied
relation
injury.
In
24
patients
admitted
ischemic
stroke,
3
min
resting-state
was
at
bedside,
including
the
ER
ICU.
Traditional
quantitative
(power
specific
lead,
any
frequency
band)
showed
modest
association
[NIH
Stroke
Scale
(NIHSS)
score]
bivariate
models.
However,
PLS
models
delta
or
beta
power
across
correlated
strongly
NIHSS
score
(R(2)
=
0.85-0.90)
remained
robust
when
further
cross-validation
0.72-0.73).
Larger
infarct
volume
associated
higher
power,
bilaterally;
contralesional
findings
were
not
attributable
mass
effect,
indicating
that
captures
significant
information
about
effects
available
from
MRI.
We
conclude
1)
data
are
feasible
as
bedside
measure
function
stroke;
2)
high-dimension
superior
traditional
single-lead
metrics
regard;
3)
injury
structural
imaging.
Progress in Neurobiology,
Journal Year:
2018,
Volume and Issue:
163-164, P. 5 - 26
Published: Feb. 21, 2018
Stroke
represents
a
severe
medical
condition
that
causes
stroke
survivors
to
suffer
from
long-term
and
even
lifelong
disability.
Over
the
past
several
decades,
vast
majority
of
research
targets
neuroprotection
in
acute
phase,
while
little
work
has
been
done
enhance
recovery
at
later
stage.
Through
reviewing
current
understanding
brain
plasticity,
pathology,
emerging
preclinical
clinical
restorative
approaches,
this
review
aims
provide
new
insights
advance
field
for
recovery.
Lifelong
plasticity
offers
long-lasting
possibility
repair
stroke-damaged
brain.
impairs
structural
functional
integrity
entire
networks;
approaches
containing
multi-components
have
great
potential
maximize
by
rebuilding
normalizing
stroke-disrupted
networks
functioning.
The
window
is
much
longer
than
previously
thought.
optimal
time
appears
be
stage
rather
earlier
It
expected
these
will
our
assist
developing
next
generation
enhancing
after
stroke.
Human Brain Mapping,
Journal Year:
2018,
Volume and Issue:
39(8), P. 3326 - 3339
Published: April 14, 2018
Abstract
Transcranial
direct
current
stimulation
(tDCS)
is
a
noninvasive
brain
technique
that
has
potential
for
clinical
utility
in
neurorehabilitation.
However,
recent
evidence
indicates
the
responses
to
tDCS
are
highly
variable.
This
study
investigated
whether
electroencephalographic
(EEG)
measures
of
functional
connectivity
target
network
were
associated
with
response
ipsilesional
anodal
stroke
survivors.
Ten
chronic
patients
attended
two
experimental
sessions
randomized
cross‐over
trial
and
received
or
sham
tDCS.
Single‐pulse
transcranial
magnetic
was
used
quantify
change
corticospinal
excitability
following
At
beginning
each
session,
estimated
using
debiased‐weighted
phase
lag
index
from
EEG
recordings
at
rest.
Magnetic
resonance
imaging
identified
lesion
location
volume.
Partial
least
squares
regression
models
which
maximally
accounted
variance
responses.
Stronger
seed
approximating
stimulated
motor
cortex,
clusters
electrodes
parietal
cortex
contralesional
frontotemporal
alpha
band
(8–13
Hz)
strongly
greater
increase
association
not
observed
stimulation.
Addition
structural
measure(s)
injury
(lesion
volume)
provided
an
improved
model
fit
between
electrode
but
cortex.
TDCS
greatly
assist
rehabilitation
appears
robust
specific
biomarker
may
translation
this
therapy.
Stroke,
Journal Year:
2020,
Volume and Issue:
51(5), P. 1442 - 1450
Published: April 17, 2020
Background
and
Purpose—
Low-frequency
oscillations
reflect
brain
injury
but
also
contribute
to
normal
behaviors.
We
examined
hypotheses
relating
electroencephalography
measures,
including
low-frequency
oscillations,
motor
recovery
poststroke.
Methods—
Patients
with
stroke
completed
structural
neuroimaging,
a
resting-state
recording
clinical
testing.
A
subset
admitted
an
inpatient
rehabilitation
facility
underwent
serial
recordings.
The
relationship
that
measures
(power
coherence
leads
overlying
ipsilesional
primary
cortex
[iM1])
had
status
was
assessed,
focusing
on
delta
(1–3
Hz)
high-beta
(20–30
bands.
Results—
Across
all
patients
(n=62),
larger
infarct
volume
related
higher
band
power
in
bilateral
hemispheres
between
iM1
regions.
In
chronic
stroke,
bilaterally
correlated
better
status.
subacute
areas
poorer
These
findings
were
confirmed
recordings
from
18
facility.
Here,
interhemispheric
contralesional
M1
elevated
at
admission
compared
healthy
controls
(n=22),
declining
control
levels
over
time.
Decreases
recovery.
Conclusions—
Delta
greater
subacutely,
while
chronically.
both
after
may
be
useful
biomarkers
rehabilitation.
Applied Sciences,
Journal Year:
2019,
Volume and Issue:
9(15), P. 3183 - 3183
Published: Aug. 5, 2019
The
development
of
robotic
devices
for
rehabilitation
is
a
fast-growing
field.
Nowadays,
thanks
to
novel
technologies
that
have
improved
robots’
capabilities
and
offered
more
cost-effective
solutions,
are
increasingly
being
employed
during
clinical
practice,
with
the
goal
boosting
patients’
recovery.
Robotic
also
widely
used
in
context
neurological
disorders,
where
it
often
provided
variety
different
fashions,
depending
on
specific
function
be
restored.
Indeed,
effect
robot-aided
neurorehabilitation
can
maximized
when
combination
proper
training
regimen
(based
motor
control
paradigms)
or
non-invasive
brain
machine
interfaces.
Therapy-induced
changes
neural
activity
behavioral
performance,
which
may
suggest
underlying
plasticity,
quantified
by
multimodal
assessments
both
sensorimotor
performance
brain/muscular
pre/post
intervention.
Here,
we
provide
an
overview
most
common
upper
lower
limb
describe
aforementioned
scenarios.
We
review
assessment
techniques
evaluation
therapy.
Additional
exploitation
these
research
areas
will
highlight
crucial
contribution
robotics
promoting
recovery
answering
questions
about
reorganization
functions
response
disease.