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.
NeuroImage,
Год журнала:
2022,
Номер
256, С. 119277 - 119277
Опубликована: Май 3, 2022
Biophysical
models
of
diffusion
in
white
matter
are
based
on
what
is
now
commonly
referred
to
as
the
"Standard
Model"
(SM)
non-exchanging
anisotropic
Gaussian
compartments.
In
this
work,
we
focus
MRI
gray
matter,
which
requires
rethinking
basic
microstructure
modeling
blocks.
particular,
at
least
three
contributions
beyond
SM
need
be
considered:
water
exchange
across
cell
membrane
-
between
neurites
and
extracellular
space;
non-Gaussian
along
neuronal
glial
processes
resulting
from
structural
disorder;
signal
contribution
soma.
For
first
contribution,
propose
Neurite
Exchange
Imaging
(NEXI)
an
extension
diffusion,
builds
K\"arger
model
two
exchanging
Using
datasets
acquired
multiple
weightings
(b)
times
(t)
rat
brain
vivo,
show
that
for
investigated
time
window
(~10-45
ms)
there
minimal
diffusivity
time-dependence
more
pronounced
kurtosis
decay
with
well
fit
by
model.
Moreover,
observe
lower
longer
high
b.
light
these
observations,
identify
mechanism
best
explains
signatures
both
low-b
high-b
regime,
thereby
NEXI
mapping.
We
finally
highlight
multi-b
multi-t
acquisitions
protocols
being
suited
estimate
parameters
reliably.
approach,
inter-compartment
15
60
ms
cortex
hippocampus
same
order
or
shorter
than
typical
acquisitions.
This
suggests
essential
component
interpreting
measurements
matter.
To
fully
understand
how
the
human
brain
works,
knowledge
of
its
structure
at
high
resolution
is
needed.
Presented
here
a
computationally
intensive
reconstruction
ultrastructure
cubic
millimeter
temporal
cortex
that
was
surgically
removed
to
gain
access
an
underlying
epileptic
focus.
It
contains
about
57,000
cells,
230
millimeters
blood
vessels,
and
150
million
synapses
comprises
1.4
petabytes.
Our
analysis
showed
glia
outnumber
neurons
2:1,
oligodendrocytes
were
most
common
cell,
deep
layer
excitatory
could
be
classified
on
basis
dendritic
orientation,
among
thousands
weak
connections
each
neuron,
there
exist
rare
powerful
axonal
inputs
up
50
synapses.
Further
studies
using
this
resource
may
bring
valuable
insights
into
mysteries
brain.
Proceedings of the National Academy of Sciences,
Год журнала:
2022,
Номер
119(48)
Опубликована: Ноя. 23, 2022
Neurons
in
the
developing
brain
undergo
extensive
structural
refinement
as
nascent
circuits
adopt
their
mature
form.
This
physical
transformation
of
neurons
is
facilitated
by
engulfment
and
degradation
axonal
branches
synapses
surrounding
glial
cells,
including
microglia
astrocytes.
However,
small
size
phagocytic
organelles
complex,
highly
ramified
morphology
glia
have
made
it
difficult
to
define
contribution
these
other
cell
types
this
crucial
process.
Here,
we
used
large-scale,
serial
section
transmission
electron
microscopy
(TEM)
with
computational
volume
segmentation
reconstruct
complete
3D
morphologies
distinct
mouse
visual
cortex,
providing
unprecedented
resolution
composition.
Unexpectedly,
discovered
that
fine
processes
oligodendrocyte
precursor
cells
(OPCs),
a
population
abundant,
dynamic
progenitors,
frequently
surrounded
axons.
Numerous
phagosomes
phagolysosomes
(PLs)
containing
fragments
axons
vesicular
structures
were
present
inside
processes,
suggesting
OPCs
engage
axon
pruning.
Single-nucleus
RNA
sequencing
from
cortex
revealed
express
key
genes
at
stage,
well
neuronal
transcripts,
consistent
active
engulfment.
Although
are
thought
be
responsible
for
majority
synaptic
pruning
refinement,
PLs
ten
times
more
abundant
than
markedly
less
newly
generated
oligodendrocytes,
contribute
substantially
during
cortical
development.
Nature Methods,
Год журнала:
2023,
Номер
20(6), С. 925 - 934
Опубликована: Май 4, 2023
Abstract
The
fluorescent
glutamate
indicator
iGluSnFR
enables
imaging
of
neurotransmission
with
genetic
and
molecular
specificity.
However,
existing
variants
exhibit
low
in
vivo
signal-to-noise
ratios,
saturating
activation
kinetics
exclusion
from
postsynaptic
densities.
Using
a
multiassay
screen
bacteria,
soluble
protein
cultured
neurons,
we
generated
improved
ratios
kinetics.
We
developed
surface
display
constructs
that
improve
iGluSnFR’s
nanoscopic
localization
to
postsynapses.
resulting
iGluSnFR3
exhibits
rapid
nonsaturating
reports
synaptic
release
decreased
saturation
increased
specificity
versus
extrasynaptic
signals
neurons.
Simultaneous
electrophysiology
at
individual
boutons
mouse
visual
cortex
showed
transients
report
single
action
potentials
high
In
vibrissal
sensory
layer
4,
used
characterize
distinct
patterns
touch-evoked
feedforward
input
thalamocortical
both
recurrent
onto
L4
cortical
neuron
dendritic
spines.
Frontiers in Neuroinformatics,
Год журнала:
2022,
Номер
16
Опубликована: Июль 20, 2022
Due
to
advances
in
electron
microscopy
and
deep
learning,
it
is
now
practical
reconstruct
a
connectome,
description
of
neurons
the
chemical
synapses
between
them,
for
significant
volumes
neural
tissue.
Smaller
past
reconstructions
were
primarily
used
by
domain
experts,
could
be
handled
downloading
data,
performance
was
not
serious
problem.
But
new
much
larger
upend
these
assumptions.
These
networks
contain
tens
thousands
millions
connections,
with
yet
pending,
are
interest
large
community
non-specialists.
Allowing
other
scientists
make
use
this
data
needs
more
than
publication-it
requires
tools
that
publicly
available,
easy
use,
efficiently
handle
data.
We
introduce
neuPrint
address
analysis
challenges.
Neuprint
contains
two
major
components-a
web
interface
programmer
APIs.
The
designed
allow
any
scientist
worldwide,
using
only
browser,
quickly
ask
answer
typical
biological
queries
about
connectome.
APIs
computer-savvy
complex
or
higher
volume
queries.
NeuPrint
also
provides
features
assessing
reconstruction
quality.
Internally,
organizes
connectome
as
graph
stored
neo4j
database.
This
gives
high
queries,
access
though
public
well
documented
query
language
Cypher,
will
extend
future
connectomics
databases.
Our
experience
an
experiment
open
science.
find
fraction
readers
article
proceed
examine
directly.
In
our
case
preprints
worked
exactly
intended,
inquiries
PDF
downloads
starting
immediately
after
pre-print
publication,
little
affected
formal
publication
later.
From
we
deduce
many
interested
suggesting
data-only
papers
can
appreciated
release
speed
up
propagation
scientific
results
months.
providing,
keeping,
available
online
imposes
substantial
additional
costs
research.
Nature,
Год журнала:
2022,
Номер
606(7912), С. 137 - 145
Опубликована: Май 25, 2022
Abstract
Nerve
injury
leads
to
chronic
pain
and
exaggerated
sensitivity
gentle
touch
(allodynia)
as
well
a
loss
of
sensation
in
the
areas
which
injured
non-injured
nerves
come
together
1–3
.
The
mechanisms
that
disambiguate
these
mixed
paradoxical
symptoms
are
unknown.
Here
we
longitudinally
non-invasively
imaged
genetically
labelled
populations
fibres
sense
noxious
stimuli
(nociceptors)
(low-threshold
afferents)
peripherally
skin
for
longer
than
10
months
after
nerve
injury,
while
simultaneously
tracking
pain-related
behaviour
same
mice.
Fully
denervated
initially
lost
sensation,
gradually
recovered
normal
developed
marked
allodynia
aversion
several
injury.
This
reinnervation-induced
neuropathic
involved
nociceptors
sprouted
into
territories
precisely
reproducing
initial
pattern
innervation,
were
guided
by
blood
vessels
showed
irregular
terminal
connectivity
lowered
activation
thresholds
mimicking
low-threshold
afferents.
By
contrast,
afferents—which
normally
mediate
intact
4–7
—did
not
reinnervate,
leading
an
aberrant
innervation
tactile
end
organs
such
Meissner
corpuscles
with
alone.
Genetic
ablation
fully
abrogated
reinnervation
allodynia.
Our
results
thus
reveal
emergence
form
is
driven
structural
plasticity,
abnormal
malfunction
during
reinnervation,
provide
mechanistic
framework
sensory
manifestations
observed
clinically
can
impose
heavy
burden
on
patients.
NeuroImage,
Год журнала:
2022,
Номер
251, С. 118976 - 118976
Опубликована: Фев. 7, 2022
Diffusion
MRI
(dMRI)
provides
contrast
that
reflect
diffusing
spins'
interactions
with
microstructural
features
of
biological
systems,
but
its
specificity
remains
limited
due
to
the
ambiguity
relation
underlying
microstructure.
To
improve
specificity,
biophysical
models
white
matter
(WM)
typically
express
dMRI
signals
according
Standard
Model
(SM)
and
have
more
recently
in
gray
(GM)
attempted
incorporate
cell
soma
(the
SANDI
model).
The
validity
assumptions
these
models,
however,
largely
undetermined,
especially
GM.
Observing
models'
unique,
functional
properties,
such
as
$b^{-1/2}$
power-law
associated
1d
diffusion,
has
emerged
a
fruitful
strategy
for
experimental
validation.
absence
this
signature
GM
been
explained
by
neurite
water
exchange,
non-linear
morphology,
and/or
obscuring
signal
contributions.
Here,
we
present
simulations
realistic
neurons
demonstrating
curvature
branching
does
not
destroy
stick
impermeable
neurites,
their
is
drowned
under
typical
conditions:
Nevertheless,
identify
an
attainable
regime
which
dominates.
Furthermore,
find
exchange-driven
time
dependence
produces
behavior
opposite
expected
from
restricted
thereby
providing
disambiguating
two
effects.
We
data
experiments
ex
vivo
rat
brain
at
ultrahigh
field
observe
consistent
substantial
exchange
power-law.
first
finding
suggests
significant
while
second
small
sub-population
neurites.
quantify
our
observations,
harness
K\"arger
model
corresponding
SM
SANDI.
Learning
from
experience
depends
at
least
in
part
on
changes
neuronal
connections.
We
present
the
largest
map
of
connectivity
to
date
between
cortical
neurons
a
defined
type
(layer
2/3
[L2/3]
pyramidal
cells
mouse
primary
visual
cortex),
which
was
enabled
by
automated
analysis
serial
section
electron
microscopy
images
with
improved
handling
image
defects
(250
×
140
90
μm3
volume).
used
identify
constraints
learning
algorithms
employed
cortex.
Previous
studies
modeled
continuum
synapse
sizes
log-normal
distribution.
A
is
consistent
most
neural
network
models
learning,
synaptic
strength
continuously
graded
analog
variable.
Here,
we
show
that
size,
when
restricted
synapses
L2/3
cells,
well
sum
binary
variable
and
an
drawn
Two
sharing
same
presynaptic
postsynaptic
are
known
be
correlated
size.
variables
two
highly
correlated,
while
not.
Binary
variation
could
outcome
Hebbian
or
other
plasticity
rule
depending
activity
signals
relatively
uniform
across
arbors,
may
dominated
influences
such
as
spontaneous
dynamical
fluctuations.
discuss
implications
for
longstanding
hypothesis
activity-dependent
switches
bistable
states.