bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 5, 2022
Abstract
Cognition
and
attention
arise
from
the
adaptive
coordination
of
neural
systems
in
response
to
external
internal
demands.
The
low-dimensional
latent
subspace
that
underlies
large-scale
dynamics
relationships
these
cognitive
attentional
states,
however,
are
unknown.
We
conducted
functional
magnetic
resonance
imaging
as
human
participants
performed
tasks,
watched
comedy
sitcom
episodes
an
educational
documentary,
rested.
Whole-brain
traversed
a
common
set
states
spanned
canonical
gradients
brain
organization,
with
global
synchrony
among
networks
modulating
state
transitions.
Neural
were
synchronized
across
people
during
engaging
movie
watching
aligned
narrative
event
structures.
reflected
fluctuations
such
different
indicated
engaged
task
naturalistic
contexts
whereas
lapses
both
contexts.
Together,
results
demonstrate
traversals
along
organization
reflect
dynamics.
Cognition
and
attention
arise
from
the
adaptive
coordination
of
neural
systems
in
response
to
external
internal
demands.
The
low-dimensional
latent
subspace
that
underlies
large-scale
dynamics
relationships
these
cognitive
attentional
states,
however,
are
unknown.
We
conducted
functional
magnetic
resonance
imaging
as
human
participants
performed
tasks,
watched
comedy
sitcom
episodes
an
educational
documentary,
rested.
Whole-brain
traversed
a
common
set
states
spanned
canonical
gradients
brain
organization,
with
global
desynchronization
among
networks
modulating
state
transitions.
Neural
were
synchronized
across
people
during
engaging
movie
watching
aligned
narrative
event
structures.
reflected
fluctuations
such
different
indicated
engaged
task
naturalistic
contexts,
whereas
lapses
both
contexts.
Together,
results
demonstrate
traversals
along
organization
reflect
dynamics.
How
is
the
massive
dimensionality
and
complexity
of
microscopic
constituents
nervous
system
brought
under
sufficiently
tight
control
so
as
to
coordinate
adaptive
behaviour?
A
powerful
means
for
striking
this
balance
poise
neurons
close
critical
point
a
phase
transition,
at
which
small
change
in
neuronal
excitability
can
manifest
nonlinear
augmentation
activity.
brain
could
mediate
transition
key
open
question
neuroscience.
Here,
I
propose
that
different
arms
ascending
arousal
provide
with
diverse
set
heterogeneous
parameters
be
used
modulate
receptivity
target
neurons-in
other
words,
act
mediating
order.
Through
series
worked
examples,
demonstrate
how
neuromodulatory
interact
inherent
topological
subsystems
complex
behaviour.
NeuroImage,
Год журнала:
2022,
Номер
260, С. 119455 - 119455
Опубликована: Июль 7, 2022
Complex
cognitive
abilities
are
thought
to
arise
from
the
ability
of
brain
adaptively
reconfigure
its
internal
network
structure
as
a
function
task
demands.
Recent
work
has
suggested
that
this
inherent
flexibility
may
in
part
be
conferred
by
widespread
projections
ascending
arousal
systems.
While
different
components
system
often
studied
isolation,
there
anatomical
connections
between
neuromodulatory
hubs
we
hypothesise
crucial
for
mediating
key
features
adaptive
dynamics,
such
balance
integration
and
segregation.
To
test
hypothesis,
estimated
strength
structural
connectivity
noradrenergic
cholinergic
systems
(the
locus
coeruleus
[LC]
nucleus
basalis
Meynert
[nbM],
respectively).
We
then
asked
whether
LC
nbM
inter-connectivity
was
related
individual
differences
emergent,
dynamical
signatures
functional
measured
resting
state
fMRI
data,
attractor
topography.
observed
significant
positive
relationship
white-matter
extent
network-level
following
BOLD
signal
peaks
relative
activity.
In
addition,
individuals
with
denser
streamlines
interconnecting
also
demonstrated
heightened
shift
novel
states.
These
results
suggest
stronger
have
greater
capacity
mediate
flexible
dynamics
required
support
complex,
behaviour.
Furthermore,
our
highlight
underlying
static
can
impose
some
constraints
on
dynamic
brain.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Окт. 27, 2023
Abstract
The
human
brain
displays
a
rich
repertoire
of
states
that
emerge
from
the
microscopic
interactions
cortical
and
subcortical
neurons.
Difficulties
inherent
within
large-scale
simultaneous
neuronal
recording
limit
our
ability
to
link
biophysical
processes
at
microscale
emergent
macroscopic
states.
Here
we
introduce
network
model
layer-5
pyramidal
neurons
display
graded
coarse-sampled
dynamics
matching
those
observed
in
macroscale
electrophysiological
recordings
macaques
humans.
We
invert
identify
spike
burst
differentiate
unconscious,
dreaming,
awake
arousal
provide
insights
into
their
functional
signatures.
further
show
neuromodulatory
can
mediate
different
modes
around
low-dimensional
energy
landscape,
which
turn
changes
response
external
stimuli.
Our
results
highlight
promise
multiscale
modelling
bridge
theories
consciousness
across
spatiotemporal
scales.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 23, 2023
Variability
drives
the
organization
and
behavior
of
complex
systems,
including
human
brain.
Understanding
variability
brain
signals
is
thus
necessary
to
broaden
our
window
into
function
behavior.
Few
empirical
investigations
macroscale
signal
have
yet
been
undertaken,
given
difficulty
in
separating
biological
sources
variance
from
artefactual
noise.
Here,
we
characterize
temporal
most
predominant
signal,
fMRI
BOLD
systematically
investigate
its
statistical,
topographical
neurobiological
properties.
We
contrast
acquisition
protocols,
integrate
across
histology,
microstructure,
transcriptomics,
neurotransmitter
receptor
metabolic
data,
static
connectivity,
simulated
magnetoencephalography
data.
show
that
represents
a
spatially
heterogeneous,
central
property
multi-scale
multi-modal
organization,
distinct
Our
work
establishes
relevance
provides
lens
on
stochasticity
spatial
scales.
Cell Reports,
Год журнала:
2024,
Номер
43(6), С. 114359 - 114359
Опубликована: Июнь 1, 2024
There
is
substantial
evidence
that
neuromodulatory
systems
critically
influence
brain
state
dynamics;
however,
most
work
has
been
purely
descriptive.
Here,
we
quantify,
using
data
combining
local
inactivation
of
the
basal
forebrain
with
simultaneous
measurement
resting-state
fMRI
activity
in
macaque,
causal
role
long-range
cholinergic
input
to
stabilization
states
cerebral
cortex.
Local
nucleus
basalis
Meynert
(nbM)
leads
a
decrease
energy
barriers
required
for
an
transition
cortical
ongoing
activity.
Moreover,
particular
nbM
sub-regions
predominantly
affects
information
transfer
regions
known
receive
direct
anatomical
projections.
We
demonstrate
these
results
simple
neurodynamical
model
impact
on
neuronal
firing
rates
and
slow
hyperpolarizing
adaptation
currents.
conclude
system
plays
critical
stabilizing
macroscale
dynamics.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 15, 2025
Abstract
Dynamical
system
models
have
proven
useful
for
decoding
the
current
brain
state
from
neural
activity.
So
far,
neuroscience
has
largely
relied
on
either
linear
or
nonlinear
based
artificial
networks.
Piecewise
approximations
of
dynamics
in
other
technical
applications,
providing
a
clear
advantage
over
network-based
models,
when
dynamical
is
not
only
supposed
to
be
observed,
but
also
controlled.
Here
we
explore
whether
piecewise-linear
(recurrent
Switching
Linear
System
rSLDS
models)
could
modeling
dynamics,
particular
context
cognitive
tasks.
We
first
generate
data
computational
model
perceptual
decision-making
and
demonstrate
that
can
successfully
recovered
these
observations.
then
outperforms
terms
predicting
future
states
associated
Finally,
apply
our
approach
publicly
available
dataset
recorded
monkeys
performing
decisions.
Much
surprise,
did
provide
significant
data,
although
were
estimated
different
trial
epochs
showed
qualitatively
dynamics.
In
summary,
present
prove
situations,
where
needs
controlled
closed-loop
fashion,
example,
new
neuromodulation
applications
treating
deficits.
Future
work
will
show
under
what
conditions
are
sufficiently
warrant
use
one.
Perceptual
updating
has
been
hypothesized
to
rely
on
a
network
reset
modulated
by
bursts
of
ascending
neuromodulatory
neurotransmitters,
such
as
noradrenaline,
abruptly
altering
the
brain’s
susceptibility
changing
sensory
activity.
To
test
this
hypothesis
at
large-scale,
we
analysed
an
ambiguous
figures
task
using
pupillometry
and
functional
magnetic
resonance
imaging
(fMRI).
Behaviourally,
qualitative
shifts
in
perceptual
interpretation
image
were
associated
with
peaks
pupil
diameter,
indirect
readout
phasic
tone.
We
further
that
stimulus
ambiguity
drives
tone
leading
heightened
neural
gain,
hastening
switches.
explore
computationally,
trained
recurrent
(RNN)
analogous
categorisation
task,
allowing
gain
change
dynamically
classification
uncertainty.
As
predicted,
higher
accelerated
switching
transiently
destabilizing
network’s
dynamical
regime
periods
maximal
leveraged
low-dimensional
RNN
dynamics,
develop
two
novel
macroscale
predictions:
switches
should
occur
brain
state
velocity
flattened
egocentric
energy
landscape.
Using
fMRI
confirmed
these
predictions,
highlighting
role
system
large-scale
reconfigurations
mediating
adaptive
updates.