Journal of Neural Engineering,
Год журнала:
2022,
Номер
19(2), С. 021003 - 021003
Опубликована: Март 23, 2022
Bioelectronic
stimulation
of
the
spinal
cord
has
demonstrated
significant
progress
in
restoration
motor
function
injury
(SCI).
The
proximal,
uninjured
presents
a
viable
target
for
recording
and
generation
control
signals
to
drive
targeted
stimulation.
Signals
have
been
directly
recorded
from
behaving
animals
correlated
with
limb
kinematics.
Advances
flexible
materials,
electrode
impedance
signal
analysis
will
allow
(SCR)
be
used
next-generation
neuroprosthetics.
In
this
review,
we
summarize
technological
advances
enabling
SCR
describe
systematically
clinical
challenges
facing
bioelectronic
interfaces
potential
solutions,
device
manufacture,
surgical
implantation
chronic
effects
foreign
body
reaction
stress-strain
mismatches
between
electrodes
neural
tissue.
Finally,
establish
our
vision
bi-directional
closed-loop
bypass
that
enable
communication
disrupted
sensory
SCI.
Current Opinion in Biotechnology,
Год журнала:
2021,
Номер
72, С. 102 - 111
Опубликована: Ноя. 5, 2021
Implantable
brain
machine
interfaces
(BMIs)
are
now
on
a
trajectory
to
go
mainstream,
wherein
what
was
once
considered
last
resort
will
progressively
become
elective
at
earlier
stages
in
disease
treatment.
First-in-human
successes
have
demonstrated
the
ability
decode
highly
dexterous
motor
skills
such
as
handwriting,
and
speech
from
human
cortical
activity.
These
been
used
for
cursor
prosthesis
control,
direct-to-text
communication
synthesis.
Along
with
these
breakthrough
studies,
technology
advancements
enabled
observation
of
more
channels
neural
activity
through
new
concepts
centralised/distributed
implant
architectures.
This
is
complemented
by
research
flexible
substrates,
packaging,
surgical
workflows
data
processing.
New
regulatory
guidance
funding
has
galvanised
field.
culmination
resource,
efforts
capability
attracting
significant
investment
BMI
commercialisation.
paper
reviews
recent
developments
describes
paradigm
shift
development
that
leading
innovations,
insights
translation.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Год журнала:
2023,
Номер
31, С. 1277 - 1286
Опубликована: Янв. 1, 2023
The
brain-computer
interfaces
(BCIs)
based
on
steady-state
visual
evoked
potential
(SSVEP)
have
been
extensively
explored
due
to
their
advantages
in
terms
of
high
communication
speed
and
smaller
calibration
time.
stimuli
the
low-
medium-frequency
ranges
are
adopted
most
existing
studies
for
eliciting
SSVEPs.
However,
there
is
a
need
further
improve
comfort
these
systems.
high-frequency
used
build
BCI
systems
generally
considered
significantly
comfort,
but
performance
relatively
low.
distinguishability
16-class
SSVEPs
encoded
by
three
frequency
ranges,
i.e.,
31-34.75
Hz
with
an
interval
0.25
Hz,
31-38.5
0.5
31-46
1
this
study.
We
compare
classification
accuracy
information
transfer
rate
(ITR)
corresponding
system.
According
optimized
range,
study
builds
online
16-target
SSVEP-BCI
verifies
feasibility
proposed
system
21
healthy
subjects.
narrowest
31-34.5
highest
ITR.
Therefore,
range
An
averaged
ITR
obtained
from
experiment
153.79
±
6.39
bits/min.
These
findings
contribute
development
more
efficient
comfortable
SSVEP-based
BCIs.
Fundamental Research,
Год журнала:
2024,
Номер
5(1), С. 3 - 16
Опубликована: Апрель 16, 2024
Brain-computer
interface
(BCI)
technology
represents
a
burgeoning
interdisciplinary
domain
that
facilitates
direct
communication
between
individuals
and
external
devices.
The
efficacy
of
BCI
systems
is
largely
contingent
upon
the
progress
in
signal
acquisition
methodologies.
This
paper
endeavors
to
provide
an
exhaustive
synopsis
technologies
within
realm
by
scrutinizing
research
publications
from
last
ten
years.
Our
review
synthesizes
insights
both
clinical
engineering
viewpoints,
delineating
comprehensive
two-dimensional
framework
for
understanding
BCIs.
We
delineate
nine
discrete
categories
technologies,
furnishing
exemplars
each
salient
challenges
pertinent
these
modalities.
furnishes
researchers
practitioners
with
broad-spectrum
comprehension
landscape
BCI,
deliberates
on
paramount
issues
presently
confronting
field.
Prospective
enhancements
should
focus
harmonizing
multitude
disciplinary
perspectives.
Achieving
equilibrium
fidelity,
invasiveness,
biocompatibility,
other
pivotal
considerations
imperative.
By
doing
so,
we
can
propel
forward,
bolstering
its
effectiveness,
safety,
dependability,
thereby
contributing
auspicious
future
human-technology
integration.
Abstract
Brain‐computer
interface
(BCI)
is
an
advanced
technology
that
establishes
a
direct
connection
between
the
brain
and
external
devices,
enabling
high‐speed
real‐time
information
exchange.
In
BCI
systems,
electrodes
are
key
devices
responsible
for
transmitting
signals
including
recording
electrophysiological
electrically
stimulating
nerves.
Early
were
mainly
composed
of
rigid
materials.
The
mismatch
in
Young's
modulus
soft
biological
tissue
can
lead
to
rejection
reactions
within
system,
resulting
electrode
failure.
Furthermore,
prone
damaging
tissues
during
implantation
use.
Recently,
flexible
have
garnered
attention
field
science
research
due
their
better
adaptability
softness
curvature
brain.
design
effectively
reduce
mechanical
damage
neural
improve
accuracy
stability
signal
transmission,
providing
new
tools
methods
exploring
function
mechanisms
developing
novel
technologies.
Here,
we
review
advancements
systems.
This
paper
emphasizes
importance
discusses
limitations
traditional
electrodes,
introduces
various
types
detail.
addition,
also
explore
practical
application
scenarios
future
development
trends
technology,
aiming
offer
valuable
insights
enhancing
performance
user
experience
Journal of Neural Engineering,
Год журнала:
2024,
Номер
21(2), С. 022001 - 022001
Опубликована: Март 27, 2024
Abstract
Objective
.
Brain-computer
interfaces
(BCIs)
are
neuroprosthetic
devices
that
allow
for
direct
interaction
between
brains
and
machines.
These
types
of
neurotechnologies
have
recently
experienced
a
strong
drive
in
research
development,
given,
part,
they
promise
to
restore
motor
communication
abilities
individuals
experiencing
severe
paralysis.
While
rich
literature
analyzes
the
ethical,
legal,
sociocultural
implications
(ELSCI)
these
novel
neurotechnologies,
engineers,
clinicians
BCI
practitioners
often
do
not
enough
exposure
topics.
Approach
Here,
we
present
IEEE
Neuroethics
Framework,
an
international,
multiyear,
iterative
initiative
aimed
at
developing
robust,
accessible
set
considerations
diverse
stakeholders.
Main
results
Using
framework,
provide
practical
examples
ELSCI
neurotechnologies.
We
focus
on
invasive
technologies,
particular,
implanted
intra-cortically
medical
applications.
Significance
demonstrate
utility
our
framework
exposing
wide
range
across
different
intra-cortical
technology
modalities
conclude
with
recommendations
how
utilize
this
knowledge
development
application
ethical
guidelines
Stroke,
Год журнала:
2023,
Номер
55(2), С. 474 - 483
Опубликована: Ноя. 29, 2023
Stroke
is
a
leading
cause
of
paralysis,
most
frequently
affecting
the
upper
limbs
and
vocal
folds.
Despite
recent
advances
in
care,
stroke
recovery
invariably
reaches
plateau,
after
which
there
are
permanent
neurological
impairments.
Implantable
brain-computer
interface
devices
offer
potential
to
bypass
lesions.
They
function
by
(1)
recording
neural
activity,
(2)
decoding
signal
occurring
response
volitional
motor
intentions,
(3)
generating
digital
control
signals
that
may
be
used
external
devices.
While
technology
has
revolutionize
clinical
translation
been
limited.
Endovascular
arrays
present
novel
form
minimally
invasive
have
deployed
human
subjects
during
early
feasibility
studies.
This
article
provides
an
overview
endovascular
critically
evaluates
patient
with
as
implant
candidate.
Future
opportunities
mapped,
along
challenges
arising
when
activity
following
infarction.
Limitations
arise
considering
intracerebral
hemorrhage
cortex
lesions;
however,
future
directions
outlined
aim
address
these
challenges.
Epilepsy Research,
Год журнала:
2024,
Номер
202, С. 107356 - 107356
Опубликована: Март 30, 2024
Implantable
brain
recording
and
stimulation
devices
apply
to
a
broad
spectrum
of
conditions,
such
as
epilepsy,
movement
disorders
depression.
For
long-term
monitoring
neuromodulation
in
epilepsy
patients,
future
extracranial
subscalp
implants
may
offer
promising,
less-invasive
alternative
intracranial
neurotechnologies.
To
inform
the
design
assess
safety
profile
next-generation
devices,
we
estimated
complication
rates
deep
(DBS),
cranial
peripheral
nerve
(PNS),
responsive
neurostimulation
(RNS)
existing
EEG
(sqEEG),
proxy
for
implants.
Pubmed
was
searched
systematically
DBS,
PNS,
RNS
sqEEG
studies
from
2000
February
2024
(48
publications,
7329
patients).
We
identified
seven
categories
adverse
events:
infection,
non-infectious
cutaneous
complications,
lead
migration,
fracture,
hardware
malfunction,
pain
hemato-seroma.
used
cohort
sizes,
demographics
industry
funding
metrics
risks
bias.
An
inverse
variance
heterogeneity
model
pooled
subgroup
meta-analysis.
The
incidence
complications
reached
14.0%,
with
infections
(4.6%,
CI
95%
[3.2
–
6.2]),
surgical
site
(3.2%,
[0.6
6.4])
migration
(2.6%,
[1.0
4.4])
leading
causes.
Subgroup
analysis
showed
particularly
high
persisting
following
PNS
(12.0%,
[6.8
17.9])
(23.9%,
[12.7
37.2])
implantation.
High
(12.4%,
[6.4
19.3])
were
also
subgroup.
Complication
provides
significant
opportunity
optimize
implantable
chronic
monitoring.
Developing
promising
technologies
must
address
pain,
skin
erosion.
A
thin
robust
design,
coupled
lead-anchoring
system,
shall
enhance
durability
utility
neuromodulation.
Stereotactic and Functional Neurosurgery,
Год журнала:
2024,
Номер
102(5), С. 308 - 324
Опубликована: Июль 10, 2024
This
scoping
review
aimed
to
synthesize
the
fragmented
evidence
on
ethical
concerns
related
use
of
electrical
and
magnetic
neuromodulation
technologies,
as
well
brain-computer
interfaces
for
enhancing
brain
function
in
healthy
individuals,
addressing
gaps
understanding
spurred
by
rapid
technological
advancements
ongoing
debates.
