bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 3, 2023
Summary
Two-photon
imaging
has
been
a
critical
tool
for
dissecting
brain
circuits
and
understanding
function.
However,
relating
slow
two-photon
calcium
data
to
fast
behaviors
challenging
due
relatively
low
sampling
rates,
thus
limiting
potential
applications
neural
prostheses.
Here,
we
show
that
recurrent
encoder-decoder
network
with
an
output
length
longer
than
the
input
can
accurately
decode
limb
trajectories
of
running
mouse
from
data.
The
model
could
information
about
all
four
limbs
(contralateral
ipsilateral
front
hind
limbs)
recorded
in
single
cortical
hemisphere.
Furthermore,
neurons
were
important
decoding
found
be
well-tuned
both
contralateral
movements,
showing
artificial
networks
used
understand
function
by
identifying
sub-networks
correlate
interest.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 21, 2025
Neural
interface
technologies
are
increasingly
evolving
towards
bio-inspired
approaches
to
enhance
integration
and
long-term
functionality.
Recent
strategies
merge
soft
materials
with
tissue
engineering
realize
biologically-active
and/or
cell-containing
living
layers
at
the
tissue-device
that
enable
seamless
biointegration
novel
cell-mediated
therapeutic
opportunities.
This
review
maps
field
of
electronics
discusses
key
recent
developments
in
tissue-like
regenerative
bioelectronics,
from
biomaterials
surface-functionalized
bioactive
coatings
'biohybrid'
'all-living'
interfaces.
We
define
contextualize
terminology
this
emerging
highlight
how
biological
components
can
bridge
gap
clinical
translation.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: June 17, 2023
Abstract
This
report
describes
a
3D
microelectrode
array
integrated
on
thin-film
flexible
cable
for
neural
recording
in
small
animals.
The
fabrication
process
combines
traditional
silicon
processing
techniques
and
direct
laser
writing
of
structures
at
micron
resolution
via
two-photon
lithography.
Direct
laser-writing
3D-printed
electrodes
has
been
described
before,
but
this
is
the
first
to
provide
method
producing
high-aspect-ratio
structures.
One
prototype,
16-channel
with
300
µm
pitch,
demonstrates
successful
electrophysiological
signal
capture
from
bird
mouse
brains.
Additional
devices
include
90
pitch
arrays,
biomimetic
mosquito
needles
that
penetrate
through
dura
birds,
porous
enhanced
surface
area.
rapid
printing
wafer-scale
methods
here
will
enable
efficient
device
new
studies
examining
relationship
between
electrode
geometry
performance.
Applications
animal
models,
nerve
interfaces,
retinal
implants,
other
requiring
compact,
high-density
electrodes.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: July 26, 2024
Abstract
Electrocorticography
is
an
established
neural
interfacing
technique
wherein
array
of
electrodes
enables
large-area
recording
from
the
cortical
surface.
commonly
used
for
seizure
mapping
however
implantation
electrocorticography
arrays
a
highly
invasive
procedure,
requiring
craniotomy
larger
than
implant
area
to
place
device.
In
this
work,
flexible
thin-film
electrode
are
combined
with
concepts
soft
robotics,
realize
device
that
can
change
shape
via
integrated
fluidic
actuators.
We
show
32-electrode
be
packaged
using
origami-inspired
folding
into
compressed
state
and
implanted
through
small
burr-hole
craniotomy,
then
expanded
on
surface
brain
coverage.
The
implantation,
expansion,
functionality
confirmed
in-vitro
in
porcine
in-vivo
models.
integration
actuation
implants
provides
clinically
viable
pathway
interfaces
minimally
surgical
techniques.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 4, 2023
Abstract
Intracortical
brain-computer
interfaces
(iBCIs)
require
frequent
recalibration
to
maintain
robust
performance
due
changes
in
neural
activity
that
accumulate
over
time.
Compensating
for
this
nonstationarity
would
enable
consistently
high
without
the
need
supervised
periods,
where
users
cannot
engage
free
use
of
their
device.
Here
we
introduce
a
hidden
Markov
model
(HMM)
infer
what
targets
are
moving
toward
during
iBCI
use.
We
then
retrain
system
using
these
inferred
targets,
enabling
unsupervised
adaptation
changing
activity.
Our
approach
outperforms
state
art
large-scale,
closed-loop
simulations
two
months
and
with
human
user
one
month.
Leveraging
an
offline
dataset
spanning
five
years
recordings,
further
show
how
recently
proposed
data
distribution-matching
approaches
fail
long
time
scales;
only
target-inference
methods
appear
capable
long-term
recalibration.
results
demonstrate
task
structure
can
be
used
bootstrap
noisy
decoder
into
highly-performant
one,
thereby
overcoming
major
barriers
clinically
translating
BCIs.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Jan. 2, 2022
Abstract
Progress
toward
the
development
of
brain–computer
interfaces
has
signaled
potential
to
restore,
replace,
and
augment
lost
or
impaired
neurological
function
in
a
variety
disease
states.
Existing
approaches
developing
high-bandwidth
rely
on
invasive
surgical
procedures
brain-penetrating
electrodes,
which
limit
addressable
applications
technology
number
eligible
patients.
Here
we
describe
novel
approach
constructing
neural
interface,
comprising
conformable
thin-film
electrode
arrays
minimally
delivery
system
that
together
facilitate
bidirectional
communication
with
large
portions
cortical
surface
(enabling
both
recording
stimulation).
We
demonstrate
feasibility
safety
delivering
reversible
implants
containing
over
2,000
microelectrodes
multiple
functional
regions
hemispheres
brain
simultaneously,
without
requiring
craniotomy
damaging
surface,
at
an
effective
insertion
rate
faster
than
40
ms
per
channel.
further
evaluate
performance
this
immediately
following
implantation
for
high-density
visualizing
activity
spatial
temporal
resolutions
extents
not
previously
possible
preclinical
animal
studies
as
well
five-patient
pilot
clinical
study
involving
anesthetized
awake
neurosurgical
characterize
scales
sensorimotor
speech
are
represented
accurate
decoding
somatosensory,
visual,
volitional
walking
activity,
achieve
precise
neuromodulation
through
stimulation
sub-millimeter
scales.
The
resulting
generates
90
Gb/h
electrophysiologic
data,
demonstrates
highly
scalable
nature
micro-electrocorticography
its
utility
next-generation
brain-computer
may
expand
patient
population
could
benefit
from
interface
technology.
MRS Bulletin,
Journal Year:
2023,
Volume and Issue:
48(5), P. 531 - 546
Published: May 1, 2023
Abstract
Electrophysiological
recording
and
stimulation
are
the
gold
standard
for
functional
mapping
during
surgical
therapeutic
interventions
as
well
capturing
cellular
activity
in
intact
human
brain.
A
critical
component
probing
brain
is
interface
material
at
electrode
contact
that
electrochemically
transduces
signals
to
from
free
charge
carriers
measurement
system.
Here,
we
summarize
state-of-the-art
array
systems
context
of
translation
use
stimulating
activity.
We
leverage
parametric
studies
with
multiple
materials
shed
light
on
varied
levels
suitability
enable
high
signal-to-noise
electrophysiological
recordings
safe
delivery.
discuss
effects
scaling
pursuit
spatial
resolution,
channel
count
interfaces,
delineating
electrode–tissue
circuit
components
dictate
performance.
Finally,
recent
efforts
connectorization
packaging
arrays
provide
a
brief
account
toward
wireless
neuronal
monitoring
systems.
Graphical
