Molecular Autism,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: May 12, 2022
Abstract
Background
Altered
neuronal
excitation–inhibition
(E–I)
balance
is
strongly
implicated
in
ASD.
However,
it
not
known
whether
the
direction
and
degree
of
changes
E–I
ratio
individuals
with
ASD
correlates
intellectual
disability
often
associated
this
developmental
disorder.
The
spectral
slope
aperiodic
1/f
activity
reflects
at
scale
large
populations
may
uncover
its
putative
alternations
without
disability.
Methods
Herein,
we
used
magnetoencephalography
(MEG)
to
test
would
differentiate
children
average
below–average
(<
85)
IQ.
MEG
was
recorded
rest
eyes
open/closed
49
boys
aged
6–15
years
IQ
ranging
from
54
128,
age-matched
typically
developing
(TD)
boys.
cortical
source
estimated
using
beamformer
approach
individual
brain
models.
We
then
extracted
by
fitting
a
linear
function
log–log-scale
power
spectra
high-frequency
range.
Results
global
averaged
over
all
sources
demonstrated
high
rank-order
stability
between
two
conditions.
Consistent
previous
research,
steeper
eyes-closed
than
eyes-open
condition
flattened
age.
Regardless
condition,
below-average
had
flatter
slopes
either
TD
or
above-average
These
group
differences
could
be
explained
signal-to-noise
periodic
(alpha
beta)
activity.
Limitations
Further
research
needed
find
out
observed
ratios
are
characteristic
other
diagnostic
groups.
Conclusions
atypically
suggests
shift
toward
hyper-excitation.
can
provide
an
accessible
noninvasive
biomarker
for
making
objective
judgments
about
treatment
effectiveness
people
comorbid
Proceedings of the National Academy of Sciences,
Journal Year:
2022,
Volume and Issue:
119(7)
Published: Feb. 10, 2022
Significance
What
changes
in
the
brain
when
we
lose
consciousness?
One
possibility
is
that
loss
of
consciousness
corresponds
to
a
transition
brain’s
electric
activity
away
from
edge-of-chaos
criticality,
or
knife’s
edge
between
stability
and
chaos.
Recent
mathematical
developments
have
produced
tools
for
testing
this
hypothesis,
which
apply
cortical
recordings
diverse
states.
We
show
cortex
indeed
poised
near
boundary
chaos
during
conscious
states
transitions
unconsciousness
disrupts
information
processing.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Feb. 25, 2022
Consciousness
can
be
defined
by
two
components:
arousal
(wakefulness)
and
awareness
(subjective
experience).
However,
neurophysiological
consciousness
metrics
able
to
disentangle
between
these
components
have
not
been
reported.
Here,
we
propose
an
explainable
indicator
(ECI)
using
deep
learning
the
of
consciousness.
We
employ
electroencephalographic
(EEG)
responses
transcranial
magnetic
stimulation
under
various
conditions,
including
sleep
(n
=
6),
general
anesthesia
16),
severe
brain
injury
34).
also
test
our
framework
resting-state
EEG
15)
ECI
simultaneously
quantifies
physiological,
pharmacological,
pathological
conditions.
Particularly,
ketamine-induced
rapid
eye
movement
with
low
high
are
clearly
distinguished
from
other
states.
In
addition,
parietal
regions
appear
most
relevant
for
quantifying
awareness.
This
provides
insights
into
neural
correlates
altered
states
Communications Biology,
Journal Year:
2023,
Volume and Issue:
6(1)
Published: Jan. 28, 2023
Abstract
A
central
question
in
neuroscience
is
how
consciousness
arises
from
the
dynamic
interplay
of
brain
structure
and
function.
Here
we
decompose
functional
MRI
signals
pathological
pharmacologically-induced
perturbations
into
distributed
patterns
structure-function
dependence
across
scales:
harmonic
modes
human
structural
connectome.
We
show
that
coupling
a
generalisable
indicator
under
bi-directional
neuromodulatory
control.
find
increased
scales
during
loss
consciousness,
whether
due
to
anaesthesia
or
injury,
capable
discriminating
between
behaviourally
indistinguishable
sub-categories
brain-injured
patients,
tracking
presence
covert
consciousness.
The
opposite
signature
characterises
altered
state
induced
by
LSD
ketamine,
reflecting
psychedelic-induced
decoupling
function
correlating
with
physiological
subjective
scores.
Overall,
connectome
decomposition
reveals
neuromodulation
network
architecture
jointly
shape
activation
scales.
Periodic
features
of
neural
time-series
data,
such
as
local
field
potentials
(LFPs),
are
often
quantified
using
power
spectra.
While
the
aperiodic
exponent
spectra
is
typically
disregarded,
it
nevertheless
modulated
in
a
physiologically
relevant
manner
and
was
recently
hypothesised
to
reflect
excitation/inhibition
(E/I)
balance
neuronal
populations.
Here,
we
used
cross-species
vivo
electrophysiological
approach
test
E/I
hypothesis
context
experimental
idiopathic
Parkinsonism.
We
demonstrate
dopamine-depleted
rats
that
exponents
at
30–100
Hz
subthalamic
nucleus
(STN)
LFPs
defined
changes
basal
ganglia
network
activity;
higher
tally
with
lower
levels
STN
neuron
firing
tipped
towards
inhibition.
Using
STN-LFPs
recorded
from
awake
Parkinson’s
patients,
show
accompany
dopaminergic
medication
deep
brain
stimulation
(DBS)
STN,
consistent
untreated
manifesting
reduced
inhibition
hyperactivity
STN.
These
results
suggest
Parkinsonism
reflects
might
be
candidate
biomarker
for
adaptive
DBS.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 19, 2024
Abstract
Electroencephalograms
(EEGs)
display
a
mixture
of
rhythmic
and
broadband
fluctuations,
the
latter
manifesting
as
an
apparent
1/f
spectral
trend.
While
network
oscillations
are
known
to
generate
EEG,
neural
basis
EEG
remains
unexplained.
Here,
we
use
biophysical
modelling
show
that
aperiodic
activity
can
detectable
scalp
potentials
shape
features,
but
these
signals
do
not
significantly
perturb
brain
rhythm
quantification.
Further
model
analysis
demonstrated
profoundly
corrupted
by
shifts
in
synapse
properties.
To
examine
this
scenario,
recorded
EEGs
human
subjects
being
administered
propofol,
general
anesthetic
GABA
receptor
agonist.
Drug
administration
caused
changes
quantitatively
matched
propofol’s
effects
on
receptors.
We
used
our
correct
for
confounding
changes,
which
revealed
delta
power,
uniquely,
increased
within
seconds
individuals
losing
consciousness.
Altogether,
work
details
how
shaped
neurophysiological
factors
other
than
rhythms
elucidates
undermine
traditional
interpretation.
Developmental Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
66, P. 101373 - 101373
Published: April 1, 2024
Adolescence
has
been
hypothesized
to
be
a
critical
period
for
the
development
of
human
association
cortex
and
higher-order
cognition.
A
defining
feature
is
shift
in
excitation:
inhibition
(E/I)
balance
neural
circuitry,
however
how
changes
E/I
may
enhance
cortical
circuit
function
support
maturational
improvements
cognitive
capacities
not
known.
Harnessing
ultra-high
field
7
T
MR
spectroscopy
EEG
large,
longitudinal
cohort
youth
(N
=
164,
ages
10–32
years
old,
347
neuroimaging
sessions),
we
delineate
biologically
specific
associations
between
age-related
excitatory
glutamate
inhibitory
GABA
neurotransmitters
EEG-derived
measures
aperiodic
activity
reflective
prefrontal
cortex.
Specifically,
find
that
developmental
increases
reflected
glutamate:GABA
are
linked
assessed
by
suppression
activity,
which
turn
facilitates
robust
working
memory.
These
findings
indicate
role
E/I-engendered
signaling
mechanisms
maturation
maintenance.
More
broadly,
this
multi-modal
imaging
study
provides
evidence
undergoes
physiological
consistent
with
plasticity
during
adolescence.
eNeuro,
Journal Year:
2024,
Volume and Issue:
11(3), P. ENEURO.0259 - 23.2024
Published: March 1, 2024
Nonoscillatory
measures
of
brain
activity
such
as
the
spectral
slope
and
Lempel–Ziv
complexity
are
affected
by
many
neurological
disorders
modulated
sleep.
A
multitude
frequency
ranges,
particularly
a
broadband
(encompassing
full
spectrum)
narrowband
approach,
have
been
used
especially
for
estimating
slope.
However,
effects
choosing
different
ranges
not
yet
explored
in
detail.
Here,
we
evaluated
impact
sleep
stage
task
engagement
(resting,
attention,
memory)
on
(30–45
Hz)
(1–45
range
28
healthy
male
human
subjects
(21.54
±
1.90
years)
using
within-subject
design
over
2
weeks
with
three
recording
nights
days
per
subject.
We
strived
to
determine
how
states
affect
two
perform
comparison.
In
range,
steepened,
decreased
continuously
from
wakefulness
N3
REM
sleep,
however,
was
best
discriminated
Importantly,
also
differed
between
tasks
during
wakefulness.
While
engagement,
flattened
both
ranges.
Interestingly,
only
positively
correlated
performance.
Our
results
show
that
sensitive
indices
state
variations
yields
more
information
could
be
greater
variety
research
questions
than
complexity,
when
is
used.
NeuroImage,
Journal Year:
2020,
Volume and Issue:
226, P. 117579 - 117579
Published: Nov. 20, 2020
The
brain
exhibits
a
complex
temporal
structure
which
translates
into
hierarchy
of
distinct
neural
timescales.
An
open
question
is
how
these
intrinsic
timescales
are
related
to
sensory
or
motor
information
processing
and
whether
dynamics
have
common
patterns
in
different
behavioral
states.
We
address
questions
by
investigating
the
brain's
healthy
controls,
(amyotrophic
lateral
sclerosis,
locked-in
syndrome),
(anesthesia,
unresponsive
wakefulness
progressive
reduction
(from
awake
states
over
N1,
N2,
N3).
employed
combination
measures
from
EEG
resting-state
data:
auto-correlation
window
(ACW),
power
spectral
density
(PSD),
power-law
exponent
(PLE).
Prolonged
accompanied
shift
towards
slower
frequencies
were
observed
conditions
with
deficits,
but
not
deficits.
Our
results
establish
that
spontaneous
activity's
timescale
capacity
specifically
supports
rather
than
brain.
Frontiers in Systems Neuroscience,
Journal Year:
2019,
Volume and Issue:
13
Published: Aug. 14, 2019
General
anesthesia
reversibly
alters
consciousness,
without
shutting
down
the
brain
globally.
Depending
on
anesthetic
agent
and
dose,
it
may
produce
different
consciousness
states
including
a
complete
absence
of
subjective
experience
(unconsciousness),
conscious
perception
environment
(disconnected
like
during
dreaming),
or
episodes
oriented
with
awareness
(connected
consciousness).
Each
state
potentially
be
followed
by
explicit
implicit
memories
after
procedure.
In
this
respect,
can
considered
as
proxy
to
explore
consciousness.
During
recent
years,
progress
in
exploration
function
has
allowed
better
understanding
neural
correlates
their
alterations
anesthesia.
Several
changes
functional
effective
between-region
connectivity,
network
topology,
spatio-temporal
dynamics
interactions
have
been
evidenced
Despite
set
effects
that
are
common
many
agents,
is
still
uneasy
draw
comprehensive
picture
precise
cascades
general
questions
remain
unsolved,
exact
identification
substrate
its
components,
detection
specific
unresponsive
patients
associated
memory
processes,
processing
sensory
information
anesthesia,
pharmacodynamic
between
direction-dependent
hysteresis
phenomenon
transitions
states,
mechanisms
cognitive
follow
an
procedure,
eventual
unitary
mechanism
anesthesia-induced
alteration
relationship
biochemical
sleep-wake
cycle
targets
well
vast
between-studies
variations
dose
administration
mode,
leading
difficulties
comparisons.
narrative
review,
we
current
knowledge
unconsciousness,
from
insights
gathered
propofol,
halogenated
vapors,
ketamine,
dexmedetomidine,
benzodiazepines
xenon.
We
also
describe
how
help
develop
above-mentioned
unresolved
questions,
propose
tracks
for
future
research.