bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 7, 2023
Successful
behavior
depends
on
attentional
state
and
other
factors
related
to
decision-making,
which
may
modulate
neuronal
activity
differently.
Here,
we
investigated
whether
behavioral
outcome
(i.e.,
a
target
is
detected
or
missed)
are
distinguishable
using
the
power
phase
of
local
field
potential
(LFP)
recorded
bilaterally
from
area
V4
monkeys
performing
cued
visual
attention
task.
To
link
each
trial's
pairwise
measures
that
typically
averaged
across
trials,
used
several
methods
obtain
single-trial
estimates
spike
count
correlation
consistency.
Surprisingly,
while
location
was
best
discriminated
gamma
high-gamma
power,
by
alpha
steady-state
visually
evoked
potential.
Power
outperformed
absolute
in
attentional/behavioral
discriminability,
although
consistency
provided
reasonably
high
discriminability.
Our
results
suggest
dissociation
between
mechanisms
regulate
focus
outcome.
Cell Reports,
Journal Year:
2023,
Volume and Issue:
42(5), P. 112492 - 112492
Published: May 1, 2023
Rhythmic
flicker
stimulation
has
gained
interest
as
a
treatment
for
neurodegenerative
diseases
and
method
frequency
tagging
neural
activity.
Yet,
little
is
known
about
the
way
in
which
flicker-induced
synchronization
propagates
across
cortical
levels
impacts
different
cell
types.
Here,
we
use
Neuropixels
to
record
from
lateral
geniculate
nucleus
(LGN),
primary
visual
cortex
(V1),
CA1
mice
while
presenting
stimuli.
LGN
neurons
show
strong
phase
locking
up
40
Hz,
whereas
substantially
weaker
V1
absent
CA1.
Laminar
analyses
reveal
an
attenuation
of
at
Hz
each
processing
stage.
Gamma-rhythmic
predominantly
entrains
fast-spiking
interneurons.
Optotagging
experiments
that
these
correspond
either
parvalbumin
(PV+)
or
narrow-waveform
somatostatin
(Sst+)
neurons.
A
computational
model
can
explain
observed
differences
based
on
neurons'
capacitative
low-pass
filtering
properties.
In
summary,
propagation
synchronized
activity
its
effect
distinct
types
strongly
depend
frequency.
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.
Neuron,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Natural
vision
requires
circuit
mechanisms
which
process
complex
spatiotemporal
stimulus
features
in
parallel.
In
the
mammalian
forebrain,
one
signature
of
activation
is
fast
oscillatory
dynamics,
reflected
local
field
potential
(LFP).
Using
data
from
Allen
Neuropixels
Visual
Coding
project,
we
show
that
visual
naturalistic
stimuli
induce
mouse
primary
cortex
(V1)
retinotopically
specific
oscillations
various
frequency
bands
and
V1
layers.
Specifically,
layer
4
(L4)
narrowband
gamma
was
linked
to
luminance,
low-gamma
optic
flow,
L4/L5
epsilon
contrast.
These
feature-specific
were
associated
with
distinct
translaminar
spike-phase
coupling
patterns,
conserved
across
a
range
containing
relevant
features,
suggesting
they
might
constitute
motifs.
Our
findings
highlight
visually
induced
as
markers
dynamic
motifs,
may
support
differential
multiplexed
coding
input
thalamocortical
information
propagation.
Epilepsia,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 26, 2024
Hypoxic-ischemic
brain
damage
(HIBD)
is
a
leading
cause
of
neonatal
mortality,
resulting
in
injury
and
persistent
seizures
that
can
last
into
the
late
period
beyond.
Effective
treatments
interventions
for
infants
affected
by
hypoxia-ischemia
remain
lacking.
Clinical
investigations
have
indicated
an
elevation
nuclear
factor
activated
T
cells
5
(NFAT5)
whole
blood
from
umbilical
cords
severely
HIBD
with
epilepsy.
Experimental
research
has
demonstrated
NFAT5
ambivalent
effects
on
neuroprotection
neurologic
damage.
However,
mechanistic
role
remains
unclear.
This
investigation
aims
to
further
clarify
epilepsy
following
insult.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
277, P. 120256 - 120256
Published: June 29, 2023
Inter-areal
coherence
has
been
hypothesized
as
a
mechanism
for
inter-areal
communication.
Indeed,
empirical
studies
have
observed
an
increase
in
with
attention.
Yet,
the
mechanisms
underlying
changes
remain
largely
unknown.
Both
attention
and
stimulus
salience
are
associated
shifts
peak
frequency
of
gamma
oscillations
V1,
which
suggests
that
may
play
role
facilitating
communication
coherence.
In
this
study,
we
used
computational
modeling
to
investigate
how
sender
influences
We
show
magnitude
determined
by
sender.
However,
pattern
depends
on
intrinsic
properties
receiver,
specifically
whether
receiver
integrates
or
resonates
its
synaptic
inputs.
Because
resonant
receivers
frequency-selective,
resonance
proposed
selective
produced
is
inconsistent
studies.
By
contrast,
integrator
does
produce
These
results
indicate
can
be
misleading
measure
interactions.
This
led
us
develop
new
interactions,
refer
Explained
Power.
Power
maps
directly
signal
transmitted
filtered
thus
provides
method
quantify
true
signals
between
receiver.
Together,
these
findings
provide
model
Granger-causality
result
shifts.
Entropy,
Journal Year:
2024,
Volume and Issue:
26(9), P. 790 - 790
Published: Sept. 14, 2024
Active
inference
describes
(Bayes-optimal)
behaviour
as
being
motivated
by
the
minimisation
of
surprise
one’s
sensory
observations,
through
optimisation
a
generative
model
(of
hidden
causes
data)
in
brain.
One
active
inference’s
key
appeals
is
its
conceptualisation
precision
biasing
neuronal
communication
and,
thus,
within
models.
The
importance
perceptual
evident—many
studies
have
demonstrated
ensuring
estimates
are
correct
for
normal
(healthy)
sensation
and
perception.
Here,
we
highlight
many
roles
plays
action,
i.e.,
processes
that
rely
on
adequate
precision,
from
decision
making
action
planning
to
initiation
control
muscle
movement
itself.
Thereby,
focus
recent
development
hierarchical,
“mixed”
models—generative
models
spanning
multiple
levels
discrete
continuous
inference.
These
kinds
open
up
new
perspectives
unified
description
hierarchical
computation,
implementation,
action.
how
these
reflect
action—from
execution—and
associated
pathologies
if
estimation
goes
wrong.
We
also
discuss
potential
biological
implementation
message
passing,
focusing
role
neuromodulatory
systems
mediating
different
precision.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 2, 2024
We
present
a
neurophenomenological
case
study
investigating
distinct
neural
connectivity
regimes
during
an
advanced
concentrative
absorption
meditation
called
jhana
(ACAM-J),characterized
by
highly-stable
attention
and
mental
absorption.
Using
EEG
recordings
phenomenological
ratings
(29
sessions)
from
meditator
with
+20,000
hours
of
practice,
we
evaluated
metrics
tracking
large-scale
interactions:
nonlinear
(WSMI
Directed
Information),
capturing
non-oscillatory
dynamics;
linear
(WPLI)
metrics,
oscillatory
synchrony.
Results
demonstrate
ACAM-J
are
better
distinguished
compared
to
dynamics
across
multiple
frequency
ranges.
Furthermore,
combining
attention-related
WSMI
improves
Bayesian
decoding
alone.
Crucially,
deeper
indicate
equalization
feedback
feedforward
processes,
suggesting
balance
internallyand
externally-driven
information
processing.
Our
results
reveal
ACAM-J,
offering
insights
into
refined
conscious
states
highlighting
the
value
approaches
studying
attentional
states.