Large
scale
transitions
between
active
(up)
and
silent
(down)
states
during
quiet
wakefulness
or
NREM
sleep
regulate
fundamental
cortical
functions
are
known
to
involve
both
excitatory
inhibitory
cells.
However,
if
how
inhibition
regulates
these
activity
is
unclear.
Using
fluorescence-targeted
electrophysiological
recording
cell-specific
optogenetic
manipulation
in
anesthetized
non-anesthetized
mice,
we
found
that
two
major
classes
of
interneurons,
the
parvalbumin
somatostatin
positive
cells,
tightly
control
up-to-down
down-to-up
state
transitions.
Inhibitory
regulation
transition
was
observed
under
natural
optogenetically-evoked
conditions.
Moreover,
perturbative
experiments
revealed
interneuron-type
specific.
Finally,
local
small
ensembles
interneurons
affected
populations
millimetres
away
from
modulated
region.
Together,
results
demonstrate
potently
gates
states,
reveal
cellular
mechanisms
by
which
microcircuits
at
mesoscale.
Fluctuations
in
brain
and
behavioral
state
are
supported
by
broadly
projecting
neuromodulatory
systems.
In
this
study,
we
use
mesoscale
two-photon
calcium
imaging
to
examine
spontaneous
activity
of
cholinergic
noradrenergic
axons
awake
mice
order
determine
the
interaction
between
arousal/movement
transitions
across
dorsal
cortex
at
distances
separated
up
4
mm.
We
confirm
that
GCaMP6s
within
axonal
projections
both
basal
forebrain
locus
coeruleus
neurons
track
arousal,
indexed
as
pupil
diameter,
changes
engagement,
reflected
bouts
whisker
movement
and/or
locomotion.
The
broad
coordination
even
distant
segments
indicates
these
systems
can
communicate,
part,
through
a
global
signal,
especially
relation
state.
addition
coordinated
activity,
also
find
evidence
subpopulation
may
exhibit
heterogeneity
appears
be
independent
our
measures
By
monitoring
interneurons
cortex,
found
cells
state-dependent
(arousal/movement)
activity.
These
results
demonstrate
provide
prominent
synchronized
signal
related
state,
therefore
contribute
cortical
excitability.
Nature Biotechnology,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 2, 2024
A
key
challenge
of
analyzing
data
from
high-resolution
spatial
profiling
technologies
is
to
suitably
represent
the
features
cellular
neighborhoods
or
niches.
Here
we
introduce
covariance
environment
(COVET),
a
representation
that
leverages
gene-gene
covariate
structure
across
cells
in
niche
capture
multivariate
nature
interactions
within
it.
We
define
principled
optimal
transport-based
distance
metric
between
COVET
niches
scales
millions
cells.
Using
encode
context,
developed
environmental
variational
inference
(ENVI),
conditional
autoencoder
jointly
embeds
and
single-cell
RNA
sequencing
into
latent
space.
ENVI
includes
two
decoders:
one
impute
gene
expression
modality
second
project
information
onto
data.
can
confer
context
genomics
single
dissociated
outperforms
alternatives
for
imputing
on
diverse
datasets.
Nature,
Год журнала:
2025,
Номер
640(8058), С. 448 - 458
Опубликована: Апрель 9, 2025
Mammalian
cortex
features
a
vast
diversity
of
neuronal
cell
types,
each
with
characteristic
anatomical,
molecular
and
functional
properties1.
Synaptic
connectivity
shapes
how
type
participates
in
the
cortical
circuit,
but
mapping
rules
at
resolution
distinct
types
remains
difficult.
Here
we
used
millimetre-scale
volumetric
electron
microscopy2
to
investigate
all
inhibitory
neurons
across
densely
segmented
population
1,352
cells
spanning
layers
mouse
visual
cortex,
producing
wiring
diagram
inhibition
more
than
70,000
synapses.
Inspired
by
classical
neuroanatomy,
classified
based
on
targeting
dendritic
compartments
developed
an
excitatory
neuron
classification
reconstructions
whole-cell
maps
synaptic
input.
Single-cell
showed
class
disinhibitory
specialist
that
targets
basket
cells.
Analysis
onto
found
widespread
specificity,
many
interneurons
exhibiting
differential
spatially
intermingled
subpopulations.
Inhibitory
was
organized
into
'motif
groups',
diverse
sets
collectively
target
both
perisomatic
same
targets.
Collectively,
our
analysis
identified
new
organizing
principles
for
will
serve
as
foundation
linking
contemporary
multimodal
atlases
diagram.
Nature,
Год журнала:
2025,
Номер
640(8058), С. 497 - 505
Опубликована: Апрель 9, 2025
Neural
circuit
function
is
shaped
both
by
the
cell
types
that
comprise
and
connections
between
them1.
have
previously
been
defined
morphology2,3,
electrophysiology4,
transcriptomic
expression5,6,
connectivity7-9
or
a
combination
of
such
modalities10-12.
The
Patch-seq
technique
enables
characterization
morphology,
electrophysiology
properties
from
individual
cells13-15.
These
were
integrated
to
define
28
inhibitory,
morpho-electric-transcriptomic
(MET)
in
mouse
visual
cortex16,
which
do
not
include
synaptic
connectivity.
Conversely,
large-scale
electron
microscopy
(EM)
morphological
reconstruction
near-complete
description
neuron's
local
connectivity,
but
does
electrophysiological
information.
Here,
we
leveraged
information
predict
transcriptomically
subclass
and/or
MET-type
inhibitory
neurons
within
EM
dataset.
We
further
analysed
Martinotti
cells-a
somatostatin
(Sst)-positive17
type18,19-which
classified
successfully
into
Sst
MET-types
with
distinct
axon
myelination
output
connectivity
patterns.
demonstrate
features
can
be
used
link
across
experimental
modalities,
enabling
comparison
gene
expression
electrophysiology.
observe
unique
rules
for
predicted
types.
Large
scale
transitions
between
active
(up)
and
silent
(down)
states
during
quiet
wakefulness
or
NREM
sleep
regulate
fundamental
cortical
functions
are
known
to
involve
both
excitatory
inhibitory
cells.
However,
if
how
inhibition
regulates
these
activity
is
unclear.
Using
fluorescence-targeted
electrophysiological
recording
cell-specific
optogenetic
manipulation
in
anesthetized
non-anesthetized
mice,
we
found
that
two
major
classes
of
interneurons,
the
parvalbumin
somatostatin
positive
cells,
tightly
control
up-to-down
down-to-up
state
transitions.
Inhibitory
regulation
transition
was
observed
under
natural
optogenetically-evoked
conditions.
Moreover,
perturbative
experiments
revealed
interneuron-type
specific.
Finally,
local
small
ensembles
interneurons
affected
populations
millimetres
away
from
modulated
region.
Together,
results
demonstrate
potently
gates
states,
reveal
cellular
mechanisms
by
which
microcircuits
at
mesoscale.