What do neural travelling waves tell us about information flow?
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Abstract
In
many
behavioral
conditions,
neural
activity
propagates
within
and
across
brain
regions
as
traveling
waves,
revealing
the
importance
of
analyzing
spatiotemporal
dynamics
in
electrophysiological
data.
Most
methods
quantify
such
propagation
by
measuring
spatial
phase
gradients,
i.e.,
monotonic
ordered
changes
through
space.
Here,
we
demonstrate
that
ordering
travelling
waves
is
insufficient
to
determine
effective
flow
information
unambiguously.
We
that,
some
specific
cases,
gradient
indicates
opposite
direction
than
indicated
for
causal
inference.
Using
autoregressive
modeling,
further
show
a
discrepancy
between
apparent
measured
via
phase-based
can,
example,
be
predicted
sign
projection
from
lower
higher
nodes
hierarchy.
Together
with
an
input
signal
lowest
node,
inhibitory
bottom-up
connections
produce
propagating
opposite,
top-down
direction.
As
methodological
solution,
Granger
causality
analysis
can
recover
its
underlying
structure,
which
used
disambiguate
“effective”
flow.
Language: Английский
Backward alpha oscillations shape perceptual bias under probabilistic cues
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 16, 2025
Abstract
Predictive
coding
theory
suggests
that
prior
knowledge
is
crucial
for
optimizing
human
decision-making,
with
recent
studies
emphasizing
the
role
of
alpha-band
oscillations
in
this
process.
Here,
we
employed
a
traveling
waves
approach
to
investigate
how
alpha
integrate
expectations
during
perceptual
decision-making
task.
Our
findings
demonstrated
expectation-based
triggers
propagation
from
frontal
occipital
areas,
increase
associated
enhanced
modulation
brain
regions
involved
stimulus
processing
and
directly
linked
prior-driven
bias
at
behavioral
level.
Moreover,
participants
who
relied
more
on
exhibited
stronger
top-down
signaling,
whereas
those
focused
sensory
input
showed
contrasting
forward
signaling
pattern.
These
results
highlight
predictive
mechanisms,
suggesting
rhythmic
interactions
across
facilitate
process
contribute
inter-individual
differences
its
implementation.
Language: Английский