The mesencephalic locomotor region recruits V2a reticulospinal neurons to drive forward locomotion in larval zebrafish
Nature Neuroscience,
Journal Year:
2023,
Volume and Issue:
26(10), P. 1775 - 1790
Published: Sept. 4, 2023
Abstract
The
mesencephalic
locomotor
region
(MLR)
is
a
brain
stem
area
whose
stimulation
triggers
graded
forward
locomotion.
How
MLR
neurons
recruit
downstream
vsx2
+
(V2a)
reticulospinal
(RSNs)
poorly
understood.
Here,
to
overcome
this
challenge,
we
uncovered
the
locus
of
in
transparent
larval
zebrafish
and
show
that
distinct
from
nucleus
medial
longitudinal
fasciculus.
stimulations
reliably
elicit
locomotion
controlled
duration
frequency.
V2a
RSNs
via
projections
onto
somata
pontine
retropontine
areas,
dendrites
medulla.
High-speed
volumetric
imaging
neuronal
activity
reveals
strongly
MLR-coupled
are
active
for
steering
or
swimming,
whereas
weakly
medullary
encode
frequency
component.
Our
study
demonstrates
how
specific
control
kinematics
suggests
conservation
motor
functions
across
vertebrates.
Language: Английский
Analysis of fast calcium dynamics of honey bee olfactory coding
Marco Paoli,
No information about this author
Antoine Wystrach,
No information about this author
Brice Ronsin
No information about this author
et al.
eLife,
Journal Year:
2024,
Volume and Issue:
13
Published: Sept. 5, 2024
Odour
processing
exhibits
multiple
parallels
between
vertebrate
and
invertebrate
olfactory
systems.
Insects,
in
particular,
have
emerged
as
relevant
models
for
studies
because
of
the
tractability
their
circuits.
Here,
we
used
fast
calcium
imaging
to
track
activity
projection
neurons
honey
bee
antennal
lobe
(AL)
during
stimulation
at
high
temporal
resolution.
We
observed
a
heterogeneity
response
profiles
an
abundance
inhibitory
activities,
resulting
various
latencies
stimulus-specific
post-odour
neural
signatures.
Recorded
signals
were
fed
mushroom
body
(MB)
model
constructed
implementing
fundamental
features
connectivity
neurons,
Kenyon
cells
(KC),
MB
output
(MBON).
The
accounts
increase
odorant
discrimination
compared
AL
reveals
recruitment
two
distinct
KC
populations
that
represent
odorants
aftersmell
separate
but
temporally
coherent
objects.
Finally,
showed
learning-induced
modulation
KC-to-MBON
synapses
can
explain
both
variations
associative
learning
scores
across
different
conditioning
protocols
bees
bees'
latency.
Thus,
it
provides
simple
explanation
how
time
contingency
stimulus
reward
be
encoded
without
need
tracking.
This
study
broadens
our
understanding
coding
bees.
It
demonstrates
based
on
rules
with
real
physiological
data
aspects
odour
learning.
Language: Английский
Analysis of fast calcium dynamics of honey bee olfactory coding
Marco Paoli,
No information about this author
Antoine Wystrach,
No information about this author
Brice Ronsin
No information about this author
et al.
eLife,
Journal Year:
2024,
Volume and Issue:
13
Published: Feb. 15, 2024
Odour
processing
exhibits
multiple
parallels
between
vertebrate
and
invertebrate
olfactory
systems.
Insects,
in
particular,
have
emerged
as
relevant
models
for
studies
because
of
the
tractability
their
circuits.
Here,
we
used
fast
calcium
imaging
to
track
activity
projection
neurons
honey
bee
antennal
lobe
(AL)
during
stimulation
at
high
temporal
resolution.
We
observed
a
heterogeneity
response
profiles
an
abundance
inhibitory
activities,
resulting
various
latencies
stimulus-specific
post-odour
neural
signatures.
Recorded
signals
were
fed
mushroom
body
(MB)
model
constructed
implementing
fundamental
features
connectivity
neurons,
Kenyon
cells
(KC),
MB
output
(MBON).
The
accounts
increase
odorant
discrimination
compared
AL
reveals
recruitment
two
distinct
KC
populations
that
represent
odorants
aftersmell
separate
but
temporally
coherent
objects.
Finally,
showed
learning-induced
modulation
KC-to-MBON
synapses
can
explain
both
variations
associative
learning
scores
across
different
conditioning
protocols
bees
bees'
latency.
Thus,
it
provides
simple
explanation
how
time
contingency
stimulus
reward
be
encoded
without
need
tracking.
This
study
broadens
our
understanding
coding
bees.
It
demonstrates
based
on
rules
with
real
physiological
data
aspects
odour
learning.
Language: Английский
Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network
Insects,
Journal Year:
2023,
Volume and Issue:
14(6), P. 539 - 539
Published: June 9, 2023
Odorant
processing
presents
multiple
parallels
across
animal
species,
and
insects
became
relevant
models
for
the
study
of
olfactory
coding
because
tractability
underlying
neural
circuits.
Within
insect
brain,
odorants
are
received
by
sensory
neurons
processed
antennal
lobe
network.
Such
a
network
comprises
nodes,
named
glomeruli,
that
receive
information
interconnected
local
interneurons
participating
in
shaping
representation
an
odorant.
The
functional
connectivity
between
nodes
vivo
is
challenging
task
requires
simultaneous
recording
from
at
high
temporal
resolutions.
Here,
we
followed
calcium
dynamics
glomeruli
applied
Granger
causality
analysis
to
assess
among
presence
absence
odorous
stimulus.
This
approach
revealed
existence
causal
links
stimulation,
while
odor
arrival,
network's
density
increased
stimulus-specific.
Thus,
such
analytical
may
provide
new
tool
investigation
plasticity
vivo.
Language: Английский
Influence of microgravity on spontaneous calcium activity of primary hippocampal neurons grown in microfluidic chips
Pierre-Ewen Lecoq,
No information about this author
Chloé Dupuis,
No information about this author
Xavier Mousset
No information about this author
et al.
npj Microgravity,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Feb. 6, 2024
The
influence
of
variations
gravity,
either
hypergravity
or
microgravity,
on
the
brain
astronauts
is
a
major
concern
for
long
journeys
in
space,
to
Moon
Mars,
simply
long-duration
missions
ISS
(International
Space
Station).
Monitoring
activity,
before
and
after
already
demonstrated
important
term
effects
brains
astronauts.
In
this
study,
we
focus
gravity
at
cellular
level
primary
hippocampal
neurons.
A
dedicated
setup
has
been
designed
built
perform
live
calcium
imaging
during
parabolic
flights.
During
CNES
(Centre
National
d'Etudes
Spatiales)
flight
campaign,
were
able
observe
monitor
activity
2D
networks
neurons
inside
microfluidic
devices
changes
over
different
parabolas.
Our
preliminary
results
clearly
indicate
modification
associated
gravity.
Language: Английский
Fiber photometry in neuroscience research: principles, applications, and future directions
Pharmacological Reports,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 5, 2024
Language: Английский
Smell and Aftersmell: Fast Calcium Imaging Dynamics of Honey Bee Olfactory Coding
Marco Paoli,
No information about this author
Antoine Wystrach,
No information about this author
Brice Ronsin
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 21, 2023
Abstract
Odour
processing
exhibits
multiple
parallels
between
vertebrate
and
invertebrate
olfactory
systems.
Insects,
in
particular,
have
emerged
as
relevant
models
for
studies
because
of
the
tractability
their
circuits.
Here,
we
used
fast
calcium
imaging
to
track
activity
projection
neurons
honey
bee
antennal
lobe
(AL)
during
stimulation
at
high
temporal
resolution.
We
observed
a
heterogeneity
response
profiles
an
abundance
inhibitory
activities,
resulting
various
latencies
stimulus-
specific
post-odour
neural
signatures.
Recorded
signals
were
fed
mushroom
body
(MB)
model
constructed
implementing
fundamental
features
connectivity
neurons,
Kenyon
cells
(KC),
MB
output
(MBON).
The
accounts
increase
odorant
discrimination
compared
AL
reveals
recruitment
two
distinct
KC
populations
that
represent
odorants
aftersmell
separate
but
temporally
coherent
objects.
Finally,
showed
learning-
induced
modulation
KC-to-MBON
synapses
can
explain
both
variations
associative
learning
scores
across
different
conditioning
protocols
bees
bees’
latency.
Thus,
it
provides
simple
explanation
how
time
contingency
stimulus
reward
be
encoded
without
need
tracking.
This
study
broadens
our
understanding
coding
bees.
It
demonstrates
based
on
rules
with
real
physiological
data
aspects
odour
learning.
Language: Английский