Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Окт. 12, 2023
Abstract
Current
methods
for
recording
large-scale
neuronal
activity
from
behaving
mice
at
single-cell
resolution
require
either
fixing
the
mouse
head
under
a
microscope
or
attachment
of
device
to
animal’s
skull.
Both
these
options
significantly
affect
animal
behavior
and
hence
also
recorded
brain
patterns.
Here,
we
introduce
different
method
acquire
snapshots
cortical
maps
freely-moving
using
calcium
sensor
called
CaMPARI.
CaMPARI
has
unique
property
irreversibly
changing
its
color
green
red
inside
active
neurons
when
illuminated
with
400
nm
light.
We
capitalize
on
this
demonstrate
cortex-wide
without
any
fixation,
tethering,
miniaturized
mouse’s
head.
Multiple
regions
were
while
was
performing
battery
behavioral
cognitive
tests.
identified
task-dependent
patterns
across
motor
somatosensory
cortices,
significant
differences
sub-regions
cortex
correlations
several
task
parameters.
This
CaMPARI-based
expands
capabilities
minimally-restrictive
experimental
conditions
provides
volumetric
data
that
are
currently
not
accessible
otherwise.
Communications Biology,
Год журнала:
2022,
Номер
5(1)
Опубликована: Ноя. 18, 2022
Abstract
Quantification
and
detection
of
the
hierarchical
organization
behavior
is
a
major
challenge
in
neuroscience.
Recent
advances
markerless
pose
estimation
enable
visualization
high-dimensional
spatiotemporal
behavioral
dynamics
animal
motion.
However,
robust
reliable
technical
approaches
are
needed
to
uncover
underlying
structure
these
data
segment
into
discrete
hierarchically
organized
motifs.
Here,
we
present
an
unsupervised
probabilistic
deep
learning
framework
that
identifies
from
variational
embeddings
motion
(VAME).
By
using
mouse
model
beta
amyloidosis
as
use
case,
show
VAME
not
only
motifs,
but
also
captures
representation
motif’s
usage.
The
approach
allows
for
grouping
motifs
communities
differences
community-specific
motif
usage
individual
cohorts
were
undetectable
by
human
visual
observation.
Thus,
segmentation
applicable
wide
range
experimental
setups,
models
conditions
without
requiring
supervised
or
a-priori
interference.
Imaging
large-population,
single-cell
fluorescent
dynamics
in
freely
behaving
animals
larger
than
mice
remains
a
key
endeavor
of
neuroscience.
We
present
large-field-of-view
open-source
miniature
microscope
(MiniLFOV)
designed
for
large-scale
(3.6
mm
×
2.7
mm),
cellular
resolution
neural
imaging
rats.
It
has
an
electrically
adjustable
working
distance
up
to
3.5
±
100
μm,
incorporates
absolute
head
orientation
sensor,
and
weighs
only
13.9
g.
The
MiniLFOV
is
capable
both
deep
brain
cortical
been
validated
rats
by
simultaneously
>1000
GCaMP7s-expressing
neurons
the
hippocampal
CA1
layer
head-fixed
~2000
dorsal
cortex
through
cranial
window.
also
supports
optional
wire-free
operation
using
novel,
data
acquisition
expansion
board.
expect
that
this
new
implementation
UCLA
Miniscope
platform
will
enable
researchers
address
novel
hypotheses
concerning
function
animals.
Interfacing
artificial
devices
with
the
human
brain
is
central
goal
of
neurotechnology.
Yet,
our
imaginations
are
often
limited
by
currently
available
paradigms
and
technologies.
Suggestions
for
brain-machine
interfaces
have
changed
over
time,
along
technology.
Mechanical
levers
cable
winches
were
used
to
move
parts
during
mechanical
age.
Sophisticated
electronic
wiring
remote
control
arisen
age,
ultimately
leading
plug-and-play
computer
interfaces.
Nonetheless,
brains
so
complex
that
these
visions,
until
recently,
largely
remained
unreachable
dreams.
The
general
problem,
thus
far,
most
technology
mechanically
and/or
electrically
engineered,
whereas
a
living,
dynamic
entity.
As
result,
worlds
difficult
interface
one
another.
Nanotechnology,
which
encompasses
engineered
solid-state
objects
integrated
circuits,
excels
at
small
length
scales
single
few
hundred
nanometers
and,
thus,
matches
sizes
biomolecules,
biomolecular
assemblies,
cells.
Consequently,
we
envision
nanomaterials
nanotools
as
opportunities
in
alternative
ways.
Here,
review
existing
literature
on
use
nanotechnology
look
forward
discussing
perspectives
limitations
based
authors'
expertise
across
range
complementary
disciplines─from
neuroscience,
engineering,
physics,
chemistry
biology
medicine,
science
mathematics,
social
jurisprudence.
We
focus
but
also
include
information
from
related
fields
when
useful
complementary.
Nature Methods,
Год журнала:
2022,
Номер
20(4), С. 610 - 616
Опубликована: Ноя. 28, 2022
Abstract
Advances
in
head-mounted
microscopes
have
enabled
imaging
of
neuronal
activity
using
genetic
tools
freely
moving
mice
but
these
are
restricted
to
recording
minimally
lit
arenas
and
upper
cortical
layers.
Here
we
built
a
2-g,
three-photon
excitation-based
microscope,
containing
z
-drive
that
access
all
layers
while
behaved
fully
environment.
The
microscope
had
on-board
photon
detectors,
robust
environmental
light,
the
arena
lighting
was
timed
end
each
line-scan,
enabling
functional
from
layer
4
6
neurons
expressing
jGCaMP7f
roaming
or
dark
arena.
By
comparing
measured
populations
show
is
differentially
modulated
by
conditions
during
free
exploration.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Июль 4, 2023
Abstract
The
cortical
population
code
is
pervaded
by
activity
patterns
evoked
movement,
but
it
remains
largely
unknown
how
such
signals
relate
to
natural
behavior
or
they
might
support
processing
in
sensory
cortices
where
have
been
observed.
To
address
this
we
compared
high-density
neural
recordings
across
four
regions
(visual,
auditory,
somatosensory,
motor)
relation
modulation,
posture,
and
ethograms
of
freely
foraging
male
rats.
Momentary
actions,
as
rearing
turning,
were
represented
ubiquitously
could
be
decoded
from
all
sampled
structures.
However,
more
elementary
continuous
features,
pose
followed
region-specific
organization,
with
neurons
visual
auditory
preferentially
encoding
mutually
distinct
head-orienting
features
world-referenced
coordinates,
somatosensory
motor
principally
the
trunk
head
egocentric
coordinates.
tuning
properties
synaptically
coupled
cells
also
exhibited
connection
suggestive
area-specific
uses
movement
signals,
particularly
regions.
Together,
our
results
indicate
that
ongoing
encoded
at
multiple
levels
throughout
dorsal
cortex,
low-level
are
differentially
utilized
different
serve
locally
relevant
computations.