In
what
follows,
we
present
results
of
our
recent
studies
on
how
ongoing
neural
oscillations
shape
task
performance
(including
BCI)
and
evoked
responses.
These
relate
to
both
pre-stimulus
resting
state
spatio-temporal
dynamics.
Journal of Neuroscience,
Год журнала:
2021,
Номер
42(4), С. 643 - 656
Опубликована: Дек. 1, 2021
Previous
studies
have
shown
that
timing
of
sensory
stimulation
during
the
cardiac
cycle
interacts
with
perception.
Given
natural
coupling
respiration
and
activity,
we
investigated
here
their
joint
effects
on
tactile
Forty-one
healthy
female
male
human
participants
reported
conscious
perception
finger
near-threshold
electrical
pulses
(33%
null
trials)
decision
confidence
while
electrocardiography,
respiratory
photoplethysmography
were
recorded.
Participants
adapted
to
expected
stimulus
onsets
preferentially
occur
late
inspiration/early
expiration.
This
closely
matched
heart
rate
variation
(sinus
arrhythmia)
across
such
most
frequent
occurred
period
highest
probably
indicating
alertness
cortical
excitability.
Tactile
detection
was
first
quadrant
after
expiration
onset.
Interindividually,
stronger
phase-locking
task
associated
higher
rates.
Regarding
cycle,
confirmed
previous
findings
diastole
than
systole
newly
specified
its
minimum
at
250–300
ms
R-peak
corresponding
pulse
wave
arrival
in
finger.
Expectation
induced
a
transient
deceleration
which
more
pronounced
for
unconfident
ratings.
poststimulus
modulations
linked
In
summary,
demonstrate
how
tuning
integration
respiratory-cardiac
signals
are
used
optimize
performance
task.
SIGNIFICANCE
STATEMENT
Mechanistic
cognition
tend
focus
brain
neglecting
contributions
body.
Here,
heartbeat
influence
perception:
corresponds
(and
presumably
alertness/cortical
excitability)
correlates
performance.
varies
when
reaches
maximum
diastole.
Taken
together
our
finding
unchanged
early
event-related
potentials
conclude
these
not
peripheral
physiological
artifact
but
result
cognitive
processes
model
body's
internal
state,
make
predictions
guide
behavior,
might
also
tune
serve
Imaging Neuroscience,
Год журнала:
2024,
Номер
2, С. 1 - 29
Опубликована: Фев. 1, 2024
Abstract
Magneto-
and/or
electro-encephalography
(M/EEG)
are
non-invasive
clinically
relevant
tools
that
have
long
been
used
to
measure
electromagnetic
fields
in
the
somatosensory
cortex
evoked
by
innocuous
and
noxious
stimuli.
Two
commonly
applied
stimulation
paradigms
produce
distinct
responses
primary
(SI)
linked
sensations
electrical
median
nerve
(MN)
cutaneous
laser-evoked
(LE)
dorsum
of
hand,
respectively.
Despite
their
prevalence,
physiological
mechanisms
stereotypic
macroscale
MN
LE
yet
be
fully
articulated,
limiting
utility
understanding
brain
dynamics
associated
with
non-painful
painful
somatosensation.
Through
a
literature
review,
we
detailed
features
source-localized
SI
robust
reproducible
across
studies.
We
showed
first
peak
response
at
~20
ms
post-stimulus
(i.e.,
N1)
corresponds
upward-directed
deep-to-superficial
current
flow
through
cortical
laminae,
which
is
followed
downward-directed
~30
P1).
In
contrast,
initial
occurs
later
~170
directed
downward
opposite
direction
N1.
then
examined
neocortical
circuit
contributing
each
using
Human
Neocortical
Neurosolver
(HNN)
neural
modeling
software
tool
(Neymotin
et
al.,
2020).
Using
HNN
as
hypothesis
development
testing
tool,
model
results
predicted
can
simulated
sequence
layer-specific
thalamocortical
cortico-cortical
synaptic
drive
similar
previously
reported
for
tactile
(S.
R.
Jones
2007;
Neymotin
2020),
novel
discovery
an
early
excitatory
input
supragranular
layers
essential
mechanism
P1.
Model
further
N1
was
generated
burst
repetitive
gamma-frequency
(~40
Hz)
layers,
consistent
prior
reports
activity.
These
make
multiscale
predictions
about
dynamic
laminar
underlying
temporal
spectral
guide
investigations
follow-up
Ultimately,
these
findings
may
help
targeted
therapeutics
pathological
somatosensation,
such
somatic
sensitivity
acute
neuropathic
pain.
Perception
of
sensory
information
is
determined
by
stimulus
features
(e.g.,
intensity)
and
instantaneous
neural
states
excitability).
Commonly,
it
assumed
that
both
are
reflected
similarly
in
evoked
brain
potentials,
is,
larger
amplitudes
associated
with
a
stronger
percept
stimulus.
We
tested
this
assumption
somatosensory
discrimination
task
humans,
simultaneously
assessing
(i)
single-trial
excitatory
post-synaptic
currents
inferred
from
short-latency
potentials
(SEPs),
(ii)
pre-stimulus
alpha
oscillations
(8-13
Hz),
(iii)
peripheral
nerve
measures.
Fluctuations
excitability
shaped
the
perceived
intensity
already
during
very
first
cortical
response
(at
~20
ms)
yet
demonstrating
opposite
signatures
as
compared
to
effect
presented
intensity.
reconcile
discrepancy
via
common
framework
based
on
modulation
electro-chemical
membrane
gradients
linking
responses,
which
calls
for
reconsidering
conventional
interpretations
potential
magnitudes
encoding.
Response
variability
is
an
essential
and
universal
feature
of
sensory
processing
behavior.
It
arises
from
fluctuations
in
the
internal
state
brain,
which
modulate
how
information
represented
transformed
to
guide
behavioral
actions.
In
part,
brain
shaped
by
recent
network
activity,
fed
back
through
recurrent
connections
neuronal
excitability.
However,
degree
these
interactions
influence
response
spatial
temporal
scales
across
they
operate,
are
poorly
understood.
Here,
we
combined
population
recordings
modeling
gain
insights
into
activity
modulates
thereby
impacts
visually
evoked
First,
performed
cellular-resolution
calcium
imaging
optic
tectum
monitor
ongoing
pattern
both
a
cause
consequence
changes
state.
We
developed
minimal
model
incorporating
fast,
short
range,
excitation
long-lasting,
activity-dependent
suppression
that
reproduced
hallmark
property
tectal
-
intermittent
bursting.
next
used
estimate
excitability
neurons
based
on
history
found
this
explained
portion
trial-to-trial
responses,
as
well
spatially
selective
adaptation.
Moreover,
dynamics
also
predicted
trends
such
habituation
prey-catching.
Overall,
demonstrate
simple
interaction
motif
can
be
effect
upon
incidental
neural
account
for
experience-dependent
effects
encoding
guided
Neuroscience Research,
Год журнала:
2023,
Номер
203, С. 1 - 7
Опубликована: Дек. 22, 2023
Multimodal
recording
using
electroencephalogram
(EEG)
and
other
biological
signals
(e.g.,
muscle
activities,
eye
movement,
pupil
diameters,
or
body
kinematics
data)
is
ubiquitous
in
human
neuroscience
research.
However,
the
precise
time
alignment
of
multiple
data
from
heterogeneous
sources
(i.e.,
devices)
often
arduous
due
to
variable
parameters
commercially
available
research
devices
complex
experimental
setups.
In
this
review,
we
introduced
versatility
a
Lab
Streaming
Layer
(LSL)-based
application
that
can
overcome
two
common
issues
measuring
multimodal
data:
jitter
latency.
We
discussed
latency
recordings
benefits
time-synchronization
when
with
devices.
addition,
computer
simulation
was
performed
highlight
how
millisecond-order
readily
affects
signal-to-noise
ratio
electrophysiological
outcome.
Together,
argue
LSL-based
system
be
used
for
requiring
time-alignment
datasets.
Studies
detect
stimulus-induced
transient
neural
responses
test
hypotheses
regarding
temporal
relationships
different
functional
aspects
would
benefit
most
systems.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Дек. 1, 2022
Abstract
Multimodal
recording
using
electroencephalogram
(EEG)
and
other
biological
signals
(e.g.,
electromyograms,
eye
movement,
pupil
information,
or
limb
kinematics)
is
ubiquitous
in
human
neuroscience
research.
However,
the
precise
time
alignment
of
data
from
heterogeneous
sources
limited
due
to
variable
parameters
commercially
available
research
devices
experimental
setups.
Here,
we
introduced
versatility
a
Lab
Streaming
Layer
(LSL)-based
application
for
multimodal
recordings
high-density
EEG
such
as
trackers
hand
kinematics.
To
introduce
benefit
multiple
time-synchronized
manner,
discuss
two
common
issues
measuring
data:
jitter
latency.
The
LSL-based
system
can
be
used
on
time-alignment
datasets,
detecting
stimulus-induced
transient
neural
responses
testing
hypotheses
well-formulated
by
leveraging
millisecond
resolution
system.
Computers in Biology and Medicine,
Год журнала:
2023,
Номер
168, С. 107783 - 107783
Опубликована: Дек. 2, 2023
The
mammalian
brain
exhibits
a
remarkable
diversity
of
neurons,
contributing
to
its
intricate
architecture
and
functional
complexity.
analysis
multimodal
single-cell
datasets
enables
the
investigation
cell
types
states
heterogeneity.
In
this
study,
we
introduce
Neuronal
Spike
Shapes
(NSS),
straightforward
approach
for
exploration
excitability
neurons
based
on
their
Action
Potential
(AP)
waveforms.
NSS
method
describes
AP
waveform
triangular
representation
complemented
by
set
derived
electrophysiological
(EP)
features.
To
support
hypothesis,
validate
proposed
two
murine
cortical
focusing
it
GABAergic
neurons.
validation
process
involves
combination
NSS-based
clustering
analysis,
features
exploration,
Differential
Expression
(DE),
Gene
Ontology
(GO)
enrichment
analysis.
Results
show
that
captures
neuronal
possess
biological
relevance
independently
subtype.
particular,
(NSS)
captures,
among
others,
well-characterized
fast-spiking
state,
supported
both
transcriptomic
validation.
Enrichment
Analysis
reveals
voltage-gated
potassium
(K
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 13, 2024
Abstract
Perception
is
biased
by
expectations
and
previous
actions.
Pre-stimulus
brain
oscillations
are
a
potential
candidate
for
implementing
biases
in
the
brain.
In
two
EEG
studies
on
somatosensory
near-threshold
detection,
we
investigated
pre-stimulus
neural
correlates
of
an
(implicit)
choice
bias
explicit
bias.
The
was
introduced
informing
participants
about
stimulus
probability
single-trial
level
(volatile
context)
or
block-wise
(stable
context).
Behavioural
analysis
confirmed
adjustments
decision
criterion
confidence
ratings
according
to
cued
probabilities
choice-induced
biases.
beta
power
with
distinct
sources
sensory
higher-order
cortical
areas
predicted
implicit
biases,
respectively,
single
subject
partially
mediated
impact
detection
response.
We
suggest
that
different
perception.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 17, 2024
Abstract
Neural
states
shape
perception
at
earliest
cortical
processing
levels.
Previous
work
in
humans
showed
a
relationship
between
initial
excitation,
as
indicated
by
the
N20
component
of
somatosensory
evoked
potential
(SEP),
pre-stimulus
alpha
oscillations,
and
perceived
intensity
discrimination
paradigm.
Here
we
address
follow-up
question
whether
these
excitability
dynamics
reflect
changes
feedforward
or
feedback
signals.
We
leveraged
high-frequency
oscillations
(HFO)
metric
for
neuronal
population
spiking
activity
first
excitatory
volley
cortex,
non-invasively
extracted
from
electroencephalography
(EEG)
data
32
male
human
participants.
Using
Bayesian
statistics,
found
evidence
against
involvement
HFO
moment-to-moment
variability
stimulus
intensity,
contrast
to
previously
observed
effects.
Given
that
presumably
reflects
backpropagating
membrane
potentials
towards
apical
dendrites,
argue
top-down
processes
(e.g.,
related
oscillations)
may
thus
rely
on
modulations
distal
dendritic
sites
involved
pyramidal
cells
rather
than
output
firing
their
basal
compartments.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2021,
Номер
unknown
Опубликована: Март 22, 2021
Abstract
Previous
studies
have
shown
that
timing
of
sensory
stimulation
during
the
cardiac
cycle
interacts
with
perception.
Given
natural
coupling
respiration
and
activity,
we
investigated
here
their
joint
effects
on
tactile
Forty-one
healthy
female
male
human
participants
reported
conscious
perception
finger
near-threshold
electrical
pulses
(33%
null
trials)
decision
confidence
while
electrocardiography,
respiratory
photoplethysmography
were
recorded.
Participants
adapted
to
expected
stimulus
onsets
preferentially
occur
late
inspiration
/
early
expiration.
This
closely
matched
heart
rate
variation
(sinus
arrhythmia)
across
such
most
frequent
occurred
period
highest
probably
indicating
alertness
cortical
excitability.
Tactile
detection
was
first
quadrant
after
expiration
onset.
Inter-individually,
stronger
phase-locking
task
associated
higher
rates.
Regarding
cycle,
confirmed
previous
findings
diastole
than
systole
newly
specified
its
minimum
at
250
-
300
ms
R-peak
corresponding
pulse
wave
arrival
in
finger.
Expectation
induced
a
transient
deceleration
which
more
pronounced
for
unconfident
ratings.
post-stimulus
modulations
linked
In
summary,
demonstrate
how
tuning
integration
respiratory-cardiac
signals
are
used
optimize
performance
task.
Significance
statement
Mechanistic
cognition
tend
focus
brain
neglecting
contributions
body.
Here,
heartbeat
influence
perception:
Respiration
corresponds
(and
presumably
alertness/cortical
excitability)
correlates
performance.
varies
when
reaches
maximum
diastole.
Taken
together
our
finding
unchanged
ERPs
conclude
these
not
peripheral
physiological
artifact
but
result
cognitive
processes
model
body’s
internal
state,
make
predictions
guide
behavior,
might
also
tune
serve