bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 20, 2024
Abstract
Volume
electron
microscopy
(vEM)
enables
biologists
to
visualize
nanoscale
3D
ultrastructure
of
entire
eukaryotic
cells
and
tissues
prepared
by
heavy
atom
staining
plastic
embedding.
The
highest
resolution
vEM
technique
is
focused
ion-beam
scanning
(FIB-SEM),
which
provides
nearly
isotropic
(~5-10
nm)
spatial
at
fluences
>
10,000
e
−
/nm
2
.
However,
it
not
clear
how
such
high
achievable
because
serial
block-face
(SBF)
SEM,
incorporates
an
in-situ
ultramicrotome
instead
a
Ga
+
FIB
beam,
results
in
radiation-induced
collapse
similar
specimen
blocks
only
~20
Moreover,
the
z-resolution
(perpendicular
block-face)
FIB-SEM
substantially
better
than
predicted
Monte
Carlo
modeling
SBF-SEM
samples.
Here,
we
show
that
implants
thin
highly
concentrated
layer
ions
block
surface,
greatly
reduces
effect
beam-damage,
depth
from
backscattered
electrons
are
detected,
prevents
charging
collapse.
Neurobiology of Aging,
Год журнала:
2025,
Номер
148, С. 80 - 97
Опубликована: Фев. 7, 2025
Age-related
cognitive
decline
varies
widely
among
individuals,
with
some
showing
resilience
despite
older
age.
This
study
examines
synaptic
markers
of
glutamatergic
and
GABAergic
neurotransmission
in
the
hippocampus
cortex
rats
differing
abilities,
aiming
to
uncover
mechanisms
that
contribute
resilience.
We
observed
significant
age-related
reductions
vesicular
glutamate
transporter
VGluT1,
particularly
stratum
oriens
(SO),
radiatum
(SR),
lacunosum-moleculare
(SLM)
dorsal
CA3
SLM
CA1.
Furthermore,
loss
VGluT1
CA3-SLM
correlated
severity
memory
impairment.
Higher
levels
GABA
(VGAT)
were
associated
better
spatial
learning
rats,
across
several
zones
hippocampus,
including
outer
molecular
layer
dentate
gyrus
(DG),
SO,
SR,
SLM,
pyramidal
cell
layers
both
suggests
enhanced
inhibitory
specific
aspect
may
protect
against
decline.
While
showed
consistent
age-
memory-related
changes,
ventral
remained
largely
intact.
In
perirhinal
cortex,
declined
no
changes
VGAT,
while
unchanged
other
cortical
regions,
lateral
entorhinal,
retrosplenial,
posterior
parietal
cortices.
These
findings
highlight
region-specific
patterns
aging
as
potential
brain
reserve.
Memory
engrams
are
formed
through
experience-dependent
plasticity
of
neural
circuits,
but
their
detailed
architectures
remain
unresolved.
Using
three-dimensional
electron
microscopy,
we
performed
nanoscale
reconstructions
the
hippocampal
CA3-CA1
pathway
after
chemogenetic
labeling
cellular
ensembles
recruited
during
associative
learning.
Neurons
with
a
remote
history
activity
coinciding
memory
acquisition
showed
no
strong
preference
for
wiring
each
other.
Instead,
connectomes
expanded
multisynaptic
boutons
independently
coactivation
state
postsynaptic
partners.
The
rewiring
representing
an
initial
engram
was
accompanied
by
input-specific,
spatially
restricted
upscaling
individual
synapses,
as
well
remodeling
mitochondria,
smooth
endoplasmic
reticulum,
and
interactions
astrocytes.
Our
findings
elucidate
physical
hallmarks
long-term
offer
structural
basis
flexibility
information
coding.
Abstract
Advances
in
electron
microscopy,
image
segmentation
and
computational
infrastructure
have
given
rise
to
large-scale
richly
annotated
connectomic
datasets,
which
are
increasingly
shared
across
communities.
To
enable
collaboration,
users
need
be
able
concurrently
create
annotations
correct
errors
the
automated
by
proofreading.
In
large
every
proofreading
edit
relabels
cell
identities
of
millions
voxels
thousands
like
synapses.
For
analysis,
require
immediate
reproducible
access
this
changing
expanding
data
landscape.
Here
we
present
Connectome
Annotation
Versioning
Engine
(CAVE),
a
that
provides
scalable
solutions
for
flexible
annotation
support
fast
analysis
queries
at
arbitrary
time
points.
Deployed
as
suite
web
services,
CAVE
empowers
distributed
communities
perform
connectome
up
petascale
datasets
(~1
mm
3
)
while
annotating
is
ongoing.
Abstract
Although
the
structure
of
cortical
networks
provides
necessary
substrate
for
their
neuronal
activity,
alone
does
not
suffice
to
understand
activity.
Leveraging
increasing
availability
human
data,
we
developed
a
multi-scale,
spiking
network
model
cortex
investigate
relationship
between
and
dynamics.
In
this
model,
each
area
in
one
hemisphere
Desikan–Killiany
parcellation
is
represented
by
$1\,\mathrm{mm^{2}}$
column
with
layered
structure.
The
aggregates
data
across
multiple
modalities,
including
electron
microscopy,
electrophysiology,
morphological
reconstructions,
diffusion
tensor
imaging,
into
coherent
framework.
It
predicts
activity
on
all
scales
from
single-neuron
area-level
functional
connectivity.
We
compared
electrophysiological
resting-state
magnetic
resonance
imaging
(fMRI)
data.
This
comparison
reveals
that
can
reproduce
aspects
both
statistics
fMRI
correlations
if
inter-areal
connections
are
sufficiently
strong.
Furthermore,
study
propagation
single-spike
perturbation
macroscopic
fluctuations
through
network.
open-source
serves
as
an
integrative
platform
further
refinements
future
silico
studies
structure,
dynamics,
function.
Serial-section
electron
microscopy
(ssEM)
is
the
method
of
choice
for
studying
macroscopic
biological
samples
at
extremely
high
resolution
in
three
dimensions.
In
nervous
system,
nanometer-scale
images
are
necessary
to
reconstruct
dense
neural
wiring
diagrams
brain,
so
-called
connectomes
.
The
data
that
can
comprise
up
10
8
individual
EM
must
be
assembled
into
a
volume,
requiring
seamless
2D
registration
from
physical
section
followed
by
3D
alignment
stitched
sections.
throughput
ssEM
necessitates
stitching
done
pace
imaging,
which
currently
produces
tens
terabytes
per
day.
To
achieve
this,
we
present
modular
volume
assembly
software
pipeline
ASAP
(Assembly
Stitching
and
Alignment
Pipeline)
scalable
datasets
containing
petabytes
parallelized
work
distributed
computational
environment.
built
on
top
Render
Trautman
Saalfeld
(2019)
services
used
brain
adult
Drosophila
melanogaster
(Zheng
et
al.
2018).
It
achieves
operating
only
image
meta-data
transformations.
modular,
allowing
easy
incorporation
new
algorithms
without
significant
changes
workflow.
entire
includes
complete
set
tools
stitching,
automated
quality
control,
alignment,
final
rendering
disk.
has
been
deployed
continuous
several
large-scale
mouse
visual
cortex
human
including
one
cubic
millimeter
(Yin
2020);
Microns
Consortium
(2021)
speeds
exceed
imaging.
also
multi-channel
processing
capabilities
applied
fluorescence
multi-modal
like
array
tomography.
Several
decades
have
passed
since
the
anterograde
corticomotoneuronal
hypothesis
for
amyotrophic
lateral
sclerosis
(ALS)
was
proposed.
The
intervening
years
witnessed
its
emergent
support
based
on
anatomical,
pathological,
physiological,
neuroimaging,
and
molecular
biological
studies.
evolution
of
an
extensive
system
appears
restricted
to
human
species,
with
ALS
representing
a
uniquely
disease.
While
some,
very
select
non-human
primates
limited
projections,
these
tend
be
absent
in
all
other
animals.
From
general
perspective,
early
clinical
features
may
considered
reflect
failure
system.
characteristic
loss
skilled
motor
dexterity
involving
limbs,
speech
impairment
through
progressive
bulbar
dysfunction
specifically
involve
those
units
having
strongest
projections.
A
similar
explanation
likely
underlies
unique
"split
phenotypes"
that
now
been
well
characterized
ALS.
Large
Betz
cells
pyramidal
projecting
neurons,
their
dendritic
arborization,
are
particularly
vulnerable
elements
exposome
such
as
aging,
environmental
stress
lifestyle
changes.
Progressive
proteosome
impairs
nucleocytoplasmic
shuffling
induces
toxic
but
soluble
TDP-43
aggregate
corticomotoneurons.
cell
is
further
accentuated
profuse
arborizations.
Clarification
specific
genomes
neural
networks
will
promote
initiation
precision
medicine
approaches
directed
key
structure
neurological
manifestations
ALS,
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Июнь 17, 2024
Abstract
Despite
decades
of
research,
we
still
do
not
understand
how
spontaneous
human
seizures
start
and
spread
–
especially
at
the
level
neuronal
microcircuits.
In
this
study,
used
laminar
arrays
micro-electrodes
to
simultaneously
record
local
field
potentials
multi-unit
neural
activities
across
six
layers
neocortex
during
focal
in
humans.
We
found
that,
within
ictal
onset
zone,
discharges
generated
a
seizure
consisted
current
sinks
sources
only
infra-granular
granular
layers.
Outside
reflected
flow
supra-granular
Interestingly,
these
patterns
evolved
course
outside
zone
where
superficial
extended
into
deeper
Based
on
observations,
framework
describing
cortical-cortical
dynamics
is
proposed
with
implications
for
localization,
surgical
targeting,
neuromodulation
techniques
block
generation
propagation
seizures.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Авг. 5, 2024
Abstract
Mapping
neuronal
networks
is
a
central
focus
in
neuroscience.
While
volume
electron
microscopy
(vEM)
can
reveal
the
fine
structure
of
(connectomics),
it
does
not
provide
molecular
information
to
identify
cell
types
or
functions.
We
developed
an
approach
that
uses
fluorescent
single-chain
variable
fragments
(scFvs)
perform
multiplexed
detergent-free
immunolabeling
and
volumetric-correlated-light-and-electron-microscopy
on
same
sample.
generated
eight
scFvs
targeting
brain
markers.
Six
probes
were
imaged
cerebellum
female
mouse,
using
confocal
with
spectral
unmixing,
followed
by
vEM
The
results
excellent
ultrastructure
superimposed
multiple
fluorescence
channels.
Using
this
approach,
we
documented
poorly
described
type,
two
mossy
fiber
terminals,
subcellular
localization
one
type
ion
channel.
Because
be
derived
from
existing
monoclonal
antibodies,
hundreds
such
enable
overlays
for
connectomic
studies.