Cerebral Cortex,
Год журнала:
2023,
Номер
33(12), С. 7564 - 7581
Опубликована: Март 18, 2023
Behavioral
states
affect
neuronal
responses
throughout
the
cortex
and
influence
visual
processing.
Quiet
wakefulness
(QW)
is
a
behavioral
state
during
which
subjects
are
quiescent
but
awake
connected
to
environment.
Here,
we
examined
effects
of
pre-stimulus
arousal
variability
on
post-stimulus
neural
activity
in
primary
posterior
parietal
ferrets,
using
pupil
diameter
as
an
indicator
arousal.
We
observed
that
power
stimuli-induced
alpha
(8-12
Hz)
decreases
when
level
increases.
The
peak
shifts
depending
High
increases
inter-
intra-areal
coherence.
Using
simplified
model
laminar
circuits,
show
this
connectivity
pattern
compatible
with
feedback
signals
targeting
infragranular
layers
area
supragranular
V1.
During
high
arousal,
neurons
V1
displayed
higher
firing
rates
at
their
preferred
orientations.
Broad-spiking
cells
entrained
high-frequency
oscillations
(>80
Hz),
whereas
narrow-spiking
phase-locked
low-
(12-18
rhythms.
These
results
indicate
sensitivity
cortical
coherence
depend
account
for
response
repeated
stimulation.
Trends in Neurosciences,
Год журнала:
2023,
Номер
46(7), С. 508 - 524
Опубликована: Май 8, 2023
The
rapid
and
coordinated
propagation
of
neural
activity
across
the
brain
provides
foundation
for
complex
behavior
cognition.
Technical
advances
neuroscience
subfields
have
advanced
understanding
these
dynamics,
but
points
convergence
are
often
obscured
by
semantic
differences,
creating
silos
subfield-specific
findings.
In
this
review
we
describe
how
a
parsimonious
conceptualization
state
as
fundamental
building
block
whole-brain
offers
common
framework
to
relate
findings
scales
species.
We
present
examples
diverse
techniques
commonly
used
study
states
associated
with
physiology
higher-order
cognitive
processes,
discuss
integration
them
will
enable
more
comprehensive
mechanistic
characterization
dynamics
that
crucial
survival
disrupted
in
disease.
Frontiers in Systems Neuroscience,
Год журнала:
2019,
Номер
12
Опубликована: Янв. 8, 2019
Cortical
neurons
process
information
on
a
background
of
spontaneous,
ongoing
activity
with
distinct
spatiotemporal
profiles
defining
different
cortical
states.
During
wakefulness,
states
alter
constantly
in
relation
to
behavioral
context,
attentional
level
or
general
motor
activity.
In
this
review,
we
will
discuss
our
current
understanding
awake
rodents,
how
they
are
controlled,
their
impact
sensory
processing,
and
highlight
areas
for
future
research.
A
common
observation
rodents
is
the
rapid
change
spontaneous
from
high-amplitude,
low-frequency
fluctuations,
when
animals
quiet,
faster
smaller
fluctuations
active.
This
transition
typically
thought
as
global
brain
state
but
recent
work
has
shown
variation
across
regions,
indicating
presence
fine
spatial
scale
control
system.
areas,
mediated
by
at
least
two
convergent
inputs,
one
thalamus
other
cholinergic
inputs
basal
forebrain.
have
major
balance
between
specific
subtypes
neurons,
synchronization
nearby
well
functional
coupling
distant
areas.
reorganization
networks
strongly
affects
processing.
Thus
provide
dynamic
system
moment-by-moment
regulation
PLoS Computational Biology,
Год журнала:
2020,
Номер
16(8), С. e1007983 - e1007983
Опубликована: Авг. 3, 2020
Many
large-scale
functional
connectivity
studies
have
emphasized
the
importance
of
communication
through
increased
inter-region
correlations
during
task
states.
In
contrast,
local
circuit
demonstrated
that
states
primarily
reduce
among
pairs
neurons,
likely
enhancing
their
information
coding
by
suppressing
shared
spontaneous
activity.
Here
we
sought
to
adjudicate
between
these
conflicting
perspectives,
assessing
whether
co-active
brain
regions
tend
increase
or
decrease
correlations.
We
found
variability
and
across
a
variety
cortical
in
two
highly
distinct
data
sets:
non-human
primate
spiking
human
magnetic
resonance
imaging
data.
Moreover,
this
observed
correlation
reduction
was
accompanied
an
overall
dimensionality
(reflecting
less
redundancy)
states,
suggesting
decreased
capacity.
further
both
neural
mass
computational
models
task-evoked
activity
stability
around
stable
attractor,
globally
quenching
Together,
our
results
provide
integrative
mechanistic
account
encompasses
measures
activity,
variability,
resting
Correlates
of
sensory
stimuli
and
motor
actions
are
found
in
multiple
cortical
areas,
but
such
correlates
do
not
indicate
whether
these
areas
causally
relevant
to
task
performance.
We
trained
mice
discriminate
visual
contrast
report
their
decision
by
steering
a
wheel.
Widefield
calcium
imaging
Neuropixels
recordings
cortex
revealed
stimulus-related
activity
(VIS)
frontal
(MOs)
widespread
movement-related
across
the
whole
dorsal
cortex.
Optogenetic
inactivation
biased
choices
only
when
targeted
at
VIS
MOs,proportionally
each
site's
encoding
stimulus,
times
corresponding
peak
stimulus
decoding.
A
neurometric
model
based
on
summing
subtracting
MOs
successfully
described
behavioral
performance
predicted
effect
optogenetic
inactivation.
Thus,
signals
localized
play
causal
role
performance,
while
correlating
with
movement
reflect
processes
that
role.
PLoS Computational Biology,
Год журнала:
2020,
Номер
16(4), С. e1007791 - e1007791
Опубликована: Апрель 13, 2020
Widefield
calcium
imaging
enables
recording
of
large-scale
neural
activity
across
the
mouse
dorsal
cortex.
In
order
to
examine
relationship
these
signals
resulting
behavior,
it
is
critical
demix
recordings
into
meaningful
spatial
and
temporal
components
that
can
be
mapped
onto
well-defined
brain
regions.
However,
no
current
tools
satisfactorily
extract
different
regions
in
individual
mice
a
data-driven
manner,
while
taking
account
mouse-specific
preparation-specific
differences.
Here,
we
introduce
Localized
semi-Nonnegative
Matrix
Factorization
(LocaNMF),
method
efficiently
decomposes
widefield
video
data
allows
us
directly
compare
multiple
by
outputting
localized
functional
are
significantly
more
interpretable
than
traditional
decomposition
techniques.
Moreover,
provides
natural
subspace
correlation
maps
dynamics
behaviors,
mice,
experimental
conditions,
identification
task-
movement-related
Cerebral Cortex,
Год журнала:
2021,
Номер
32(12), С. 2668 - 2687
Опубликована: Сен. 15, 2021
Motor
behavior
results
in
complex
exchanges
of
motor
and
sensory
information
across
cortical
regions.
Therefore,
fully
understanding
the
cerebral
cortex's
role
requires
a
mesoscopic-level
description
regions
engaged,
their
functional
interactions,
how
these
interactions
change
with
behavioral
state.
Mesoscopic
Ca2+
imaging
through
transparent
polymer
skulls
mice
reveals
elevated
activation
dorsal
cortex
during
locomotion.
Using
correlations
between
time
series
fluorescence
from
28
(nodes)
obtained
using
spatial
independent
component
analysis
(sICA),
we
examined
changes
connectivity
rest
to
locomotion
goal
state
that
facilitate
Both
transitions
show
marked
increases
correlation
among
most
nodes.
However,
once
steady
continued
is
reached,
many
nodes,
including
primary
somatosensory
decreases
correlations,
while
retrosplenial
anterior
nodes
secondary
increases.
These
highlight
cortex,
representing
on
return
rest.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Март 22, 2022
Abstract
In
vivo
two-photon
calcium
imaging
is
a
powerful
approach
in
neuroscience.
However,
processing
data
computationally
intensive
and
time-consuming,
making
online
frame-by-frame
analysis
challenging.
This
especially
true
for
large
field-of-view
(FOV)
imaging.
Here,
we
present
CITE-On
(Cell
Identification
Trace
Extraction
Online),
convolutional
neural
network-based
algorithm
fast
automatic
cell
identification,
segmentation,
identity
tracking,
trace
extraction
data.
processes
thousands
of
cells
online,
including
during
mesoscopic
imaging,
extracts
functional
measurements
from
most
neurons
the
FOV.
Applied
to
publicly
available
datasets,
offline
version
achieves
performance
similar
that
state-of-the-art
methods
analysis.
Moreover,
generalizes
across
indicators,
brain
regions,
acquisition
parameters
anesthetized
awake
head-fixed
mice.
represents
tool
speed
up
image
facilitate
closed-loop
approaches,
example
combined
all-optical
manipulation
experiments.