A flexible intracortical brain-computer interface for typing using finger movements
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 26, 2024
Keyboard
typing
with
finger
movements
is
a
versatile
digital
interface
for
users
diverse
skills,
needs,
and
preferences.
Currently,
such
an
does
not
exist
people
paralysis.
We
developed
intracortical
brain-computer
(BCI)
attempted
flexion/extension
of
three
groups
on
the
right
hand,
or
both
hands,
demonstrated
its
flexibility
in
two
dominant
paradigms.
The
first
paradigm
"point-and-click"
typing,
where
BCI
user
selects
one
key
at
time
using
continuous
real-time
control,
allowing
selection
arbitrary
sequences
symbols.
During
cued
character
this
paradigm,
human
research
participant
paralysis
achieved
30-40
selections
per
minute
nearly
90%
accuracy.
second
"keystroke"
each
by
discrete
movement
without
feedback,
often
giving
faster
speed
natural
language
sentences.
With
90
characters
minute,
decoding
correcting
errors
model
resulted
more
than
Notably,
paradigms
matched
state-of-the-art
performance
enabled
further
simultaneous
multiple
as
well
efficient
decoder
estimation
across
Overall,
high-performance
step
towards
wider
accessibility
technology
addressing
unmet
needs
flexibility.
Язык: Английский
Deep Learning Classification for Prodromal Parkinson's Disease Based on Spatiotemporal Features of Specific Finger Movements
Опубликована: Янв. 1, 2025
The
finger-tapping
test
in
the
Unified
Parkinson's
Disease
Rating
Scale
(UPDRS)
primarily
focuses
on
motor
control
changes
between
thumb
and
index
fingers.
However,
this
approach
may
overlook
functional
impairments
other
fingers
is
often
insufficient
for
detecting
early
symptoms
of
disease.
To
assist
patients
physicians
with
detection,
study
aims
to
develop
a
classification
method
based
clinical
practice
deep
learning
prodromal
disease
by
combining
specific
finger
movements
that
involve
consecutively
tapping
five
times
index,
middle,
ring,
little
sequence
both
hands
performing
task
simultaneously.
Motion
signals
were
captured
transformed
into
normalized
grayscale
images
reflecting
spatial
temporal
features.
Forty-one
thirty
non-prodromal
subjects
recruited
from
Taichung
Cheng-Ching
General
Hospital.
Statistical
significance
analyses
feature
parameters
conducted
during
experiments.
results
showed
parameters,
including
total
completion
time,
average
duration
single
cycle
tapping,
enslavement
all
exhibited
an
increasing
trend
progression
(p<0.05
Student's
t-tests
different
groups).
Furthermore,
proposed
achieved
75.6%
accuracy,
86.6%
sensitivity,
70.0%
specificity.
These
findings
confirmed
hand
dysfunction
can
be
quantified
explained
through
movements.
provides
preliminary
assessments,
offering
objective
meaningful
evaluation
metrics.
Язык: Английский
Goal‐directed action preparation in humans entails a mixture of corticospinal neural computations
The Journal of Physiology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 13, 2025
The
seemingly
effortless
ability
of
humans
to
transition
from
thinking
about
actions
initiating
them
relies
on
sculpting
corticospinal
(CS)
output
the
primary
motor
cortex.
present
study
tested
whether
canonical
additive
and
multiplicative
neural
computations,
well-described
in
sensory
systems,
generalize
CS
pathway
during
human
action
preparation.
We
used
non-invasive
brain
stimulation
measure
input-output
across
varying
preparation
contexts
instructed-delay
finger
response
tasks.
Goal-directed
was
marked
by
increased
gain
projections
task-relevant
muscles
suppression
non-selected
task-irrelevant
muscles.
Individuals
who
modulated
a
greater
extent
were
faster
initiate
prepared
responses.
Our
findings
provide
physiological
evidence
combined
modulation
system.
propose
that
these
computations
support
enhancing
contrast
between
selected
representations
surrounding
background
activity
facilitate
selection
execution.
KEY
POINTS:
Neural
determine
what
information
is
transmitted
through
circuits.
investigated
system
uses
similar
those
observed
systems
non-invasively
stimulating
goal-directed
discovered
indicating
behaviourally
relevant
exhibit
non-linear
whereas
irrelevant
linear
suppression.
suggest
certain
computational
principles
serve
enhance
activity.
These
results
indicate
may
control
increasing
signal-to-noise
within
pathway.
Язык: Английский
Optimizing Joystick Button Layout for Males: An Incremental Approach Based on Gripping Operational Features
Applied Sciences,
Год журнала:
2025,
Номер
15(6), С. 3019 - 3019
Опубликована: Март 11, 2025
Button
layout
plays
a
crucial
role
in
user–device
interaction.
An
impractical
can
hinder
user
efficiency
and
satisfaction.
Current
joystick
button
designs
lack
systematic
references,
relying
on
common
body
measurements
subjective
judgments,
which
makes
it
difficult
to
cope
with
diverse
modes
of
operation.
This
paper
introduces
basic
grip
state
based
adult
male
hand
size,
defining
three
operational
areas.
We
conducted
experiments
involving
15
participants
at
length
percentiles
(10,
50,
90),
revealing
positive
correlations
operation
range
dimensions.
Further
discussion
analyzes
the
dynamic
operating
specific
features
different
These
findings
inform
an
incremental
design
principle
for
layouts,
offering
precise
guidance
future
designs.
Язык: Английский
Prevalence of the variations in the tendons of the extensor digitorum communis among the Burmese population
Translational Research in Anatomy,
Год журнала:
2025,
Номер
unknown, С. 100390 - 100390
Опубликована: Март 1, 2025
Язык: Английский
Goal-directed action preparation in humans entails a mixture of corticospinal neural computations
Опубликована: Июль 11, 2024
Abstract
The
seemingly
effortless
ability
of
humans
to
transition
from
thinking
about
actions
initiating
them
relies
on
sculpting
corticospinal
output
primary
motor
cortex.
This
study
tested
whether
canonical
additive
and
multiplicative
neural
computations,
well-described
in
sensory
systems,
generalize
the
pathway
during
human
action
preparation.
We
used
non-invasive
brain
stimulation
measure
input-output
across
varying
preparation
contexts
instructed-delay
finger
response
tasks.
Goal-directed
was
marked
by
increased
gain
projections
task-relevant
muscles
suppression
non-selected
task-irrelevant
muscles.
Individuals
who
modulated
a
greater
extent
were
faster
initiate
prepared
responses.
Our
findings
provide
physiological
evidence
combined
modulation
system.
propose
these
computations
support
enhancing
contrast
between
selected
representations
surrounding
background
activity
facilitate
selection
execution.
Key
points
Neural
determine
what
information
is
transmitted
through
circuits.
investigated
system
uses
similar
those
observed
systems
noninvasively
stimulating
goal-directed
discovered
that
behaviorally
relevant
exhibit
nonlinear
while
irrelevant
linear
suppression.
suggest
certain
computational
principles
serve
enhance
activity.
These
results
indicate
may
control
increasing
signal-to-noise
within
pathway.
Язык: Английский
An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity
Journal of Neural Engineering,
Год журнала:
2024,
Номер
21(6), С. 066011 - 066011
Опубликована: Окт. 21, 2024
Abstract
Objective.
Finger
dexterity,
and
finger
individuation
in
particular,
is
crucial
for
human
movement,
disruptions
due
to
brain
injury
can
significantly
impact
quality
of
life.
Understanding
the
neurological
mechanisms
responsible
recovery
vital
effective
neurorehabilitation.
This
study
explores
role
two
key
pathways
individuation:
corticospinal
(CS)
tract
from
primary
motor
cortex
premotor
areas,
subcortical
reticulospinal
(RS)
brainstem.
We
aimed
investigate
how
cortical-reticular
network
reorganizes
aid
dexterity
following
lesions
these
areas.
Approach.
To
provide
a
potential
biologically
plausible
answer
this
question,
we
developed
an
artificial
neural
(ANN)
model
interaction
between
planning
layer,
cortical
layer
with
excitatory
inhibitory
CS
outputs,
RS
outputs
controlling
movements.
The
ANN
was
trained
simulate
normal
strength.
A
simulated
stroke
then
applied
area,
or
both,
analyzed.
Main
results.
In
intact
model,
demonstrated
near-linear
relationship
forces
instructed
uninstructed
fingers,
resembling
patterns.
Post-stroke
simulations
revealed
that
both
regions
led
increased
unintended
force
immediate
weakening
improved
control
during
early
recovery,
plasticity.
Lesions
region
alone
impaired
individuation,
while
affected
strength
lesser
extent,
individuation.
also
predicted
severity
on
highlighting
combined
effects
lesions.
Significance.
provides
insights
into
interactive
It
suggests
involve
reorganization
networks,
which
may
inform
neurorehabilitation
strategies.
Язык: Английский
Motor imagery and execution activate similar finger representations that are spatially consistent over time
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 13, 2024
Abstract
Finger
representations
in
the
sensorimotor
cortex
can
be
activated
even
absence
of
somatosensory
input
or
motor
output
through
mere
top-down
processes,
such
as
imagery.
While
executed
finger
movements
activate
primary
that
are
spatially
consistent
over
time
within
participants,
stability
remains
largely
unexplored.
Given
increasing
use
to
both
plan
implantation
and
control
brain-computer
interfaces,
it
is
crucial
understand
these
representations.
Here,
we
investigated
spatial
consistency,
thereby
reliability,
imagery
time.
To
assess
this,
participants
performed
imagined
individual
two
3T
fMRI
sessions
were
∼2
weeks
apart.
We
observed
highly
univariate
finger-selective
activity
clusters
multivariate
vertex-wise
patterns
execution
task.
Using
a
across-task
decoding
approach,
further
found
similar
cortex.
This
demonstrates
used
identify
related
movement
execution.
Our
findings
not
only
validate
processes
for
interface
planning
control,
but
also
open
up
new
opportunities
development
training
interventions
do
rely
on
overt
movements.
Язык: Английский