PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(3), P. e0300628 - e0300628
Published: March 22, 2024
In
the
emerging
field
of
whole-brain
imaging
at
single-cell
resolution,
which
represents
one
new
frontiers
to
investigate
link
between
brain
activity
and
behavior,
nematode
Caenorhabditis
elegans
offers
most
characterized
models
for
systems
neuroscience.
Whole-brain
recordings
consist
3D
time
series
volumes
that
need
be
processed
obtain
neuronal
traces.
Current
solutions
this
task
are
either
computationally
demanding
or
limited
specific
acquisition
setups.
Here,
we
propose
See
Elegans,
a
direct
programming
algorithm
combines
different
techniques
automatic
neuron
segmentation
tracking
without
RFP
channel,
compare
it
with
other
available
algorithms.
While
outperforming
them
in
cases,
our
solution
novel
method
guide
identification
subset
head
neurons
based
on
position
activity.
The
built-in
interface
allows
user
follow
manually
curate
each
processing
steps.
Elegans
is
thus
simple-to-use
aimed
speeding
up
post-processing
volumetric
calcium
while
maintaining
high
level
accuracy
low
computational
demands.
(Contact:
[email protected]
).
Nature,
Journal Year:
2023,
Volume and Issue:
623(7986), P. 406 - 414
Published: Nov. 1, 2023
Abstract
Establishing
how
neural
function
emerges
from
network
properties
is
a
fundamental
problem
in
neuroscience
1
.
Here,
to
better
understand
the
relationship
between
structure
and
of
nervous
system,
we
systematically
measure
signal
propagation
23,433
pairs
neurons
across
head
nematode
Caenorhabditis
elegans
by
direct
optogenetic
activation
simultaneous
whole-brain
calcium
imaging.
We
sign
(excitatory
or
inhibitory),
strength,
temporal
causal
direction
these
create
functional
atlas.
find
that
differs
model
predictions
are
based
on
anatomy.
Using
mutants,
show
extrasynaptic
signalling
not
visible
anatomy
contributes
this
difference.
identify
many
instances
dense-core-vesicle-dependent
signalling,
including
timescales
less
than
second,
evoke
acute
transients—often
where
no
wired
connection
exists
but
relevant
neuropeptides
receptors
expressed.
propose
that,
such
cases,
extrasynaptically
released
serve
similar
classical
neurotransmitters.
Finally,
our
measured
atlas
predicts
dynamics
spontaneous
activity
do
models
conclude
both
synaptic
drive
short
timescales,
measurements
evoked
crucial
for
interpreting
function.
Current Biology,
Journal Year:
2023,
Volume and Issue:
33(20), P. 4430 - 4445.e6
Published: Sept. 27, 2023
Animals
generate
a
wide
range
of
highly
coordinated
motor
outputs,
which
allows
them
to
execute
purposeful
behaviors.
Individual
neurons
in
the
circuits
that
behaviors
have
remarkable
capacity
for
flexibility
as
they
exhibit
multiple
axonal
projections,
transmitter
systems,
and
modes
neural
activity.
How
these
multi-functional
properties
enable
generation
adaptive
remains
unknown.
Here,
we
show
HSN
neuron
C.
elegans
evokes
programs
over
different
timescales
suite
behavioral
changes
during
egg
laying.
Using
activity
perturbations
vivo
calcium
imaging,
acutely
increases
laying
locomotion
while
also
biasing
animals
toward
low-speed
dwelling
behavior
minutes.
The
acute
effects
on
high-speed
are
mediated
by
separate
sets
transmitters
compartments.
long-lasting
part
release
serotonin,
is
taken
up
re-released
NSM,
another
serotonergic
class
directly
dwelling.
Our
results
how
single
allow
it
induce
reveal
can
borrow
serotonin
from
one
control
behavior.
Genetics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 30, 2024
Abstract
Neuropeptides
are
abundant
signaling
molecules
that
control
neuronal
activity
and
behavior
in
all
animals.
Owing
part
to
its
well-defined
compact
nervous
system,
Caenorhabditis
elegans
has
been
one
of
the
primary
model
organisms
used
investigate
how
neuropeptide
networks
organized
these
neurochemicals
regulate
behavior.
We
here
review
recent
work
expanded
our
understanding
neuropeptidergic
network
C.
by
mapping
evolutionary
conservation,
molecular
expression,
receptor–ligand
interactions,
system-wide
organization
pathways
system.
also
describe
general
insights
into
circuit
motifs
spatiotemporal
range
peptidergic
transmission
have
emerged
from
vivo
studies
on
signaling.
With
efforts
ongoing
chart
peptide
other
organisms,
connectome
can
serve
as
a
prototype
further
understand
dynamics
at
organismal
level.
Network Neuroscience,
Journal Year:
2023,
Volume and Issue:
8(1), P. 1 - 23
Published: Oct. 6, 2023
Abstract
Understanding
the
concept
of
network
hubs
and
their
role
in
brain
disease
is
now
rapidly
becoming
important
for
clinical
neurology.
Hub
nodes
networks
are
areas
highly
connected
to
rest
brain,
which
handle
a
large
part
all
traffic.
They
also
show
high
levels
neural
activity
metabolism,
makes
them
vulnerable
many
different
types
pathology.
The
present
review
examines
recent
evidence
prevalence
nature
hub
involvement
variety
neurological
disorders,
emphasizing
common
themes
across
In
focal
epilepsy,
pathological
may
play
spreading
seizure
activity,
removal
such
associated
with
improved
outcome.
stroke,
damage
impaired
cognitive
recovery.
Breakdown
optimal
organization
multiple
sclerosis
accompanied
by
dysfunction.
Alzheimer’s
disease,
hyperactive
directly
amyloid-beta
tau
Early
reliable
detection
pathology
disturbed
connectivity
imaging
neurophysiological
techniques
opens
up
opportunities
detect
patients
hyperexcitability
profile,
who
could
benefit
from
treatment
anti-epileptic
drugs.
Current Opinion in Neurobiology,
Journal Year:
2024,
Volume and Issue:
86, P. 102868 - 102868
Published: April 3, 2024
The
selection
and
execution
of
context-appropriate
behaviors
is
controlled
by
the
integrated
action
neural
circuits
throughout
brain.
However,
how
activity
coordinated
across
brain
regions,
nervous
system
structure
enables
these
functional
interactions,
remain
open
questions.
Recent
technical
advances
have
made
it
feasible
to
build
brain-wide
maps
function,
such
as
maps,
connectomes,
cell
atlases.
Here,
we
review
recent
progress
in
this
area,
focusing
on
C.
elegans
D.
melanogaster,
work
has
produced
global
systems.
We
also
describe
circuit
motifs
elucidated
studies
specific
networks,
which
highlight
complexities
that
must
be
captured
accurate
models
whole-brain
function.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(38)
Published: Sept. 13, 2024
One
of
the
longstanding
aims
network
neuroscience
is
to
link
a
connectome’s
topological
properties—i.e.,
features
defined
from
connectivity
alone–with
an
organism’s
neurobiology.
approach
for
doing
so
compare
connectome
properties
with
annotational
maps.
This
type
analysis
popular
at
meso-/macroscale,
but
less
common
nano-scale,
owing
paucity
neuron-level
data.
However,
recent
methodological
advances
have
made
possible
reconstruction
whole-brain
connectomes
single-neuron
resolution
select
set
organisms.
These
include
fruit
fly,
Drosophila
melanogaster
,
and
its
developing
larvae.
In
addition
fine-scale
descriptions
connectivity,
these
datasets
are
accompanied
by
rich
annotations.
Here,
we
use
variant
stochastic
blockmodel
detect
multilevel
communities
in
larval
connectome.
We
find
that
partition
neurons
based
on
function
cell
most
interact
assortatively,
reflecting
principle
functional
segregation.
small
number
nonassortatively,
forming
form
“rich-club”
interneurons
receive
sensory/ascending
inputs
deliver
outputs
along
descending
pathways.
Next,
investigate
role
community
structure
shaping
communication
patterns.
polysynaptic
signaling
follows
specific
trajectories
across
modular
hierarchies,
playing
key
mediating
routes
between
modules
hierarchical
scales.
Our
work
suggests
relationship
system-level
architecture
biological
classification
individual
neurons.
envision
our
study
as
important
step
toward
bridging
gap
complex
systems
neurobiological
lines
investigation
brain
sciences.