We
developed
a
multiphoton
imaging
method
to
capture
neural
structure
and
activity
in
behaving
flies
through
the
intact
cuticle.
Our
measurements
showed
that
fly
head
cuticle
has
surprisingly
high
transmission
at
wavelengths
>900nm,
difficulty
of
through-cuticle
is
due
air
sacs
and/or
fat
tissue
underneath
By
compressing
or
removing
sacs,
we
performed
brain
anatomical
functional
results
show
2-
3-photon
are
comparable
superficial
regions
such
as
mushroom
body,
but
superior
deeper
central
complex
beyond.
further
demonstrated
2-photon
odor-evoked
calcium
responses
from
body
γ-lobes
short
term
long
term.
The
here
extends
time
limits
vivo
opens
new
ways
brain.
Making
inferences
about
the
computations
performed
by
neuronal
circuits
from
synapse-level
connectivity
maps
is
an
emerging
opportunity
in
neuroscience.
The
mushroom
body
(MB)
well
positioned
for
developing
and
testing
such
approach
due
to
its
conserved
architecture,
recently
completed
dense
connectome,
extensive
prior
experimental
studies
of
roles
learning,
memory,
activity
regulation.
Here,
we
identify
new
components
MB
circuit
Drosophila,
including
visual
input
output
neurons
(MBONs)
with
direct
connections
descending
neurons.
We
find
unexpected
structure
sensory
inputs,
transfer
information
different
modalities
MBONs,
modulation
that
dopaminergic
(DANs).
provide
insights
into
circuitry
used
integrate
outputs,
between
central
complex
inputs
DANs,
feedback
MBONs.
Our
results
a
foundation
further
theoretical
work.
To
analyse
neuron
data
at
scale,
neuroscientists
expend
substantial
effort
reading
documentation,
installing
dependencies
and
moving
between
analysis
visualisation
environments.
facilitate
this,
we
have
developed
a
suite
of
interoperable
open-source
R
packages
called
the
natverse.
The
natverse
allows
users
to
read
local
remote
data,
perform
popular
analyses
including
clustering
graph-theoretic
neuronal
branching.
Unlike
most
tools,
enables
comparison
across
many
neurons
morphology
connectivity
after
imaging
or
co-registration
within
common
template
space.
also
transformations
different
spaces
modalities.
We
demonstrate
tools
that
integrate
vast
majority
Current Biology,
Год журнала:
2020,
Номер
30(16), С. 3183 - 3199.e6
Опубликована: Июль 2, 2020
Nervous
systems
contain
sensory
neurons,
local
projection
and
motor
neurons.
To
understand
how
these
building
blocks
form
whole
circuits,
we
must
distil
broad
classes
into
neuronal
cell
types
describe
their
network
connectivity.
Using
an
electron
micrograph
dataset
for
entire
Drosophila
melanogaster
brain,
reconstruct
the
first
complete
inventory
of
olfactory
projections
connecting
antennal
lobe,
insect
analog
mammalian
bulb,
to
higher-order
brain
regions
in
adult
animal
brain.
We
then
connect
this
extant
data
literature,
providing
synaptic-resolution
"holotypes"
both
heavily
investigated
previously
unknown
types.
Projection
neurons
are
approximately
twice
as
numerous
reported
by
light
level
studies;
stereotyped,
but
not
identical,
synapse
numbers
between
hemispheres.
The
lateral
horn,
cortical
amygdala,
is
main
target
information
has
been
shown
guide
innate
behavior.
Here,
find
new
connectivity
motifs,
including
axo-axonic
feedback,
inhibition
axons
a
large
population
convergence
different
inputs,
non-olfactory
inputs
memory-related
feedback
onto
third-order
These
features
less
prominent
mushroom
body
calyx,
piriform
cortex
center
associative
memory.
Our
work
provides
neuroanatomical
platform
future
studies
system.
Cell,
Год журнала:
2024,
Номер
187(10), С. 2574 - 2594.e23
Опубликована: Май 1, 2024
High-resolution
electron
microscopy
of
nervous
systems
has
enabled
the
reconstruction
synaptic
connectomes.
However,
we
do
not
know
sign
for
each
connection
(i.e.,
whether
a
is
excitatory
or
inhibitory),
which
implied
by
released
transmitter.
We
demonstrate
that
artificial
neural
networks
can
predict
transmitter
types
presynapses
from
micrographs:
network
trained
to
six
transmitters
(acetylcholine,
glutamate,
GABA,
serotonin,
dopamine,
octopamine)
achieves
an
accuracy
87%
individual
synapses,
94%
neurons,
and
91%
known
cell
across
D.
melanogaster
whole
brain.
visualize
ultrastructural
features
used
prediction,
discovering
subtle
but
significant
differences
between
phenotypes.
also
analyze
distributions
brain
find
neurons
develop
together
largely
express
only
one
fast-acting
GABA).
hope
our
publicly
available
predictions
act
as
accelerant
neuroscientific
hypothesis
generation
fly.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Авг. 8, 2022
Abstract
To
navigate
towards
a
food
source,
animals
frequently
combine
odor
cues
about
source
identity
with
wind
direction
location.
Where
and
how
these
two
are
integrated
to
support
navigation
is
unclear.
Here
we
describe
pathway
the
Drosophila
fan-shaped
body
that
encodes
attractive
promotes
upwind
navigation.
We
show
neurons
throughout
this
encode
odor,
but
not
direction.
Using
connectomics,
identify
local
called
h∆C
receive
input
from
previously
described
pathway.
exhibit
odor-gated,
direction-tuned
activity,
sparse
activation
of
in
reproducible
direction,
activity
required
for
persistent
orientation
during
odor.
Based
on
connectome
data,
develop
computational
model
showing
can
promote
goal
such
as
an
source.
Our
results
suggest
processed
by
separate
pathways
within
goal-directed
Odor
attraction
in
walking
Drosophila
melanogaster
is
commonly
used
to
relate
neural
function
behavior,
but
the
algorithms
underlying
are
unclear.
Here,
we
develop
a
high-throughput
assay
measure
olfactory
behavior
response
well-controlled
sensory
stimuli.
We
show
that
odor
evokes
two
behaviors:
an
upwind
run
during
(ON
response),
and
local
search
at
offset
(OFF
response).
Wind
orientation
requires
antennal
mechanoreceptors,
driven
solely
by
odor.
Using
dynamic
stimuli,
dependence
of
these
behaviors
on
intensity
history.
Based
data,
navigation
model
recapitulates
flies
our
apparatus,
generates
realistic
trajectories
when
turbulent
boundary
layer
plume.
The
ability
parse
into
quantifiable
elementary
sensori-motor
transformations
provides
foundation
for
dissecting
circuits
govern
behavior.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2020,
Номер
unknown
Опубликована: Июнь 13, 2020
Abstract
High-resolution
electron
microscopy
of
nervous
systems
enables
the
reconstruction
connectomes.
A
key
piece
missing
information
from
connectomes
is
synaptic
sign.
We
show
that
for
D.
melanogaster
,
artificial
neural
networks
can
predict
transmitter
type
released
at
synapses
micrographs
and
thus
add
putative
signs
to
connections.
Our
network
discriminates
between
six
transmitters
(acetylcholine,
glutamate,
GABA,
serotonin,
dopamine,
octopamine)
with
an
average
accuracy
87%/94%
synapses/entire
neurons.
developed
explainability
method
reveal
which
features
our
using
found
significant
ultrastructural
differences
classical
transmitters.
in
two
characterize
morphological
connection
properties
tens
thousands
neurons
classed
by
predicted
expression.
find
hemilineages
largely
express
only
one
fastacting
among
their
Furthermore,
we
different
may
differ
like
polarization
projection
targets.
Sustained
changes
in
mood
or
action
require
persistent
neural
activity,
but
it
has
been
difficult
to
identify
the
circuit
mechanisms
that
underlie
activity
and
contribute
long-lasting
behavior.
Here,
we
show
a
subset
of
Doublesex+
pC1
neurons
Drosophila
female
brain,
called
pC1d/e,
can
drive
minutes-long
behavior
presence
males.
Using
automated
reconstruction
volume
electron
microscopic
(EM)
image
map
all
inputs
outputs
both
pC1d
pC1e.
This
reveals
strong
recurrent
connectivity
between,
particular,
pC1d/e
specific
Fruitless+
aIPg.
We
additionally
find
activation
drives
brain
areas
cells
overlapping
with
network,
including
neurons.
Our
work
thus
links
architecture
brain.