Multi-scale spiking network model of human cerebral cortex
Cerebral Cortex,
Год журнала:
2024,
Номер
34(10)
Опубликована: Окт. 1, 2024
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.
Язык: Английский
Semi-automated navigation for efficient targeting of electron tomography to regions of interest in volume correlative light and electron microscopy
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 30, 2024
Electron
microscopy
is
essential
for
the
quantitative
study
of
synaptic
ultrastructure.
At
present,
correlation
functional
and
structural
properties
same
synapse
extremely
challenging.
We
introduce
a
novel
integrated
workflow
designed
to
simplify
sample
navigation
across
spatial
scales,
allowing
identification
individual
synapses
from
optical
mouse
brain
image
stacks
that
can
be
targeted
analysis
using
electron
tomography
imaging.
developed
software
which
has
function
register
multimodal
images
segmentation-based
registration
algorithm
as
well
visualize
all
results.
Using
our
newly
we
streamline
mapping
high-resolution
imaging
onto
reference
maps
blood
vessels
endogenous
fiducial
marks.
Further
demonstrate
significant
improvements
on
ultramicrotomy
stage
volume
Correlative
Light
Microscopy
(vCLEM)
workflows,
providing
real
time
guidance
trimming
match
previously
acquired
Regions
Of
Interest
(ROIs),
reliable
estimates
cutting
depth
relative
ROI,
based
fluorescence
TEM
ready
ultrathin
sections.
this
workflow,
successfully
proximal
axonal
region
containing
Axon
Initial
Segment
identified
fluorescent
light
microscopy.
Язык: Английский
In vivo modulation of network activity drives the nanoscale reorganisation of axo-axonic synapses at the axon initial segment
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 30, 2024
Chemical
synapses
control
their
strength
through
the
nanoscale
clustering
of
postsynaptic
receptors
into
sub-synaptic
domains
(SSDs).
Despite
importance
in
synapse
function,
properties
and
plasticity
these
are
not
well
understood
vivo,
particularly
inhibitory
synapses.
We
used
direct
Stochastic
Optical
Resolution
Microscopy
(dSTORM)
to
show
that
Gephyrin,
main
receptor
scaffold
protein,
is
organised
SSDs
with
distinct
arrangements
depending
on
sub-cellular
location
presynaptic
partner.
Furthermore,
chronic
chemogenetic
increases
cortical
activity
caused
a
reduction
Gephyrin
SSD
volume
specifically
axo-axonic,
but
axo-dendritic,
Functionally,
this
resulted
weakening
axo-axonic
contacts.
arrangement
brain
plastic
fine-tune
synaptic
gain
vivo.
Язык: Английский