PLoS ONE,
Journal Year:
2023,
Volume and Issue:
18(4), P. e0272688 - e0272688
Published: April 6, 2023
The
underlying
anatomical
structure
is
fundamental
to
the
study
of
brain
networks,
but
role
brainstem
from
a
structural
perspective
not
very
well
understood.
We
conduct
computational
and
graph-theoretical
human
connectome
incorporating
variety
subcortical
structures
including
brainstem.
Our
scheme
involves
use
Python
DIPY
Nibabel
libraries
develop
connectomes
using
100
healthy
adult
subjects.
then
compute
degree,
eigenvector,
betweenness
centralities
identify
several
highly
connected
find
that
ranks
highest
across
all
examined
metrics,
result
holds
even
when
connectivity
matrix
normalized
by
volume.
also
investigated
some
global
topological
features
in
connectomes,
such
as
balance
integration
segregation,
found
domination
generally
causes
networks
become
less
integrated
segregated.
results
highlight
importance
network
analyses.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Oct. 3, 2022
Psychedelics
including
lysergic
acid
diethylamide
(LSD)
and
psilocybin
temporarily
alter
subjective
experience
through
their
neurochemical
effects.
Serotonin
2a
(5-HT2a)
receptor
agonism
by
these
compounds
is
associated
with
more
diverse
(entropic)
brain
activity.
We
postulate
that
this
increase
in
entropy
may
arise
part
from
a
flattening
of
the
brain's
control
energy
landscape,
which
can
be
observed
using
network
theory
to
quantify
required
transition
between
recurrent
states.
Using
states
derived
existing
functional
magnetic
resonance
imaging
(fMRI)
datasets,
we
show
LSD
reduce
for
state
transitions
compared
placebo.
Furthermore,
across
individuals,
reduction
correlates
frequent
increased
dynamics.
Through
analysis
incorporates
spatial
distribution
5-HT2a
receptors
(obtained
publicly
available
positron
emission
tomography
(PET)
data
under
non-drug
conditions),
demonstrate
an
association
reduced
energy.
Our
findings
provide
evidence
agonist
allow
facile
temporally
More
broadly,
receptor-informed
model
impact
neuropharmacological
manipulation
on
activity
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Jan. 5, 2023
Abstract
Consciousness
is
a
multidimensional
phenomenon,
but
key
dimensions
such
as
awareness
and
wakefulness
have
been
described
conceptually
rather
than
neurobiologically.
We
hypothesize
that
of
consciousness
are
encoded
in
multiple
neurofunctional
the
brain.
analyze
cortical
gradients,
which
continua
brain’s
overarching
functional
geometry,
to
characterize
these
dimensions.
demonstrate
disruptions
human
–
due
pharmacological,
neuropathological,
or
psychiatric
causes
associated
with
degradation
one
more
major
gradients
depending
on
state.
Network-specific
reconfigurations
within
gradient
space
behavioral
unresponsiveness
various
etiologies,
spatial
correlate
temporal
disruption
structured
transitions
dynamic
brain
states.
In
this
work,
we
therefore
provide
unifying
framework
for
both
health
disease.
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.
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(24)
Published: June 14, 2023
To
understand
how
pharmacological
interventions
can
exert
their
powerful
effects
on
brain
function,
we
need
to
they
engage
the
brain's
rich
neurotransmitter
landscape.
Here,
bridge
microscale
molecular
chemoarchitecture
and
pharmacologically
induced
macroscale
functional
reorganization,
by
relating
regional
distribution
of
19
receptors
transporters
obtained
from
positron
emission
tomography,
changes
in
magnetic
resonance
imaging
connectivity
10
different
mind-altering
drugs:
propofol,
sevoflurane,
ketamine,
lysergic
acid
diethylamide
(LSD),
psilocybin,
N,N-Dimethyltryptamine
(DMT),
ayahuasca,
3,4-methylenedioxymethamphetamine
(MDMA),
modafinil,
methylphenidate.
Our
results
reveal
a
many-to-many
mapping
between
psychoactive
drugs'
function
multiple
systems.
The
both
anesthetics
psychedelics
are
organized
along
hierarchical
gradients
structure
function.
Last,
show
that
co-susceptibility
recapitulates
disorder-induced
structural
alterations.
Collectively,
these
highlight
statistical
patterns
drug-induced
reorganization
architecture.
How
is
the
information-processing
architecture
of
human
brain
organised,
and
how
does
its
organisation
support
consciousness?
Here,
we
combine
network
science
a
rigorous
information-theoretic
notion
synergy
to
delineate
‘synergistic
global
workspace’,
comprising
gateway
regions
that
gather
synergistic
information
from
specialised
modules
across
brain.
This
then
integrated
within
workspace
widely
distributed
via
broadcaster
regions.
Through
functional
MRI
analysis,
show
correspond
brain’s
default
mode
network,
whereas
broadcasters
coincide
with
executive
control
network.
We
find
loss
consciousness
due
general
anaesthesia
or
disorders
corresponds
diminished
ability
integrate
information,
which
restored
upon
recovery.
Thus,
coincides
breakdown
integration
work
contributes
conceptual
empirical
reconciliation
between
two
prominent
scientific
theories
consciousness,
Global
Neuronal
Workspace
Integrated
Information
Theory,
while
also
advancing
our
understanding
supports
through
information.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
269, P. 119926 - 119926
Published: Feb. 3, 2023
High-level
brain
functions
are
widely
believed
to
emerge
from
the
orchestrated
activity
of
multiple
neural
systems.
However,
lacking
a
formal
definition
and
practical
quantification
emergence
for
experimental
data,
neuroscientists
have
been
unable
empirically
test
this
long-standing
conjecture.
Here
we
investigate
fundamental
question
by
leveraging
recently
proposed
framework
known
as
"Integrated
Information
Decomposition,"
which
establishes
principled
information-theoretic
approach
operationalise
quantify
in
dynamical
systems
-
including
human
brain.
By
analysing
functional
MRI
our
results
show
that
emergent
hierarchical
character
dynamics
is
significantly
diminished
chronically
unresponsive
patients
suffering
severe
injury.
At
level,
demonstrate
capacity
positively
correlated
with
extent
organisation
activity.
Furthermore,
combining
computational
approaches
network
control
theory
whole-brain
biophysical
modelling,
reduced
severely
brain-injured
can
be
mechanistically
explained
disruptions
patients'
structural
connectome.
Overall,
suggest
chronic
unresponsiveness
resulting
injury
may
related
impairment
infrastructures
required
support
emergence.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2023,
Volume and Issue:
150, P. 105193 - 105193
Published: April 21, 2023
The
human
brain
exhibits
complex
interactions
across
micro,
meso-,
and
macro-scale
organisational
principles.
Recent
synergistic
multi-modal
approaches
have
begun
to
link
micro-scale
information
systems
level
dynamics,
transcending
hierarchies
offering
novel
perspectives
into
the
brain's
function
dysfunction.
Specifically,
distribution
of
properties
(such
as
receptor
density
or
gene
expression)
can
be
mapped
onto
measures
from
functional
MRI
provide
neurobiological
insights.
Methodological
enrich
imaging
analyses
with
molecular
are
rapidly
evolving,
several
streams
research
having
developed
relatively
independently,
each
unique
potential
explore
trans-hierarchical
functioning
brain.
Here,
we
address
three
principal
-
spatial
correlation,
molecular-enriched
network,
in-silico
whole
modelling
a
critical
overview
different
sources
information,
how
this
utilised
within
fMRI
data,
merits
pitfalls
methodology,
and,
through
use
key
examples,
highlight
their
promise
shed
new
light
on
domains
neuroscientific
inquiry.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 31, 2024
Abstract
Whole-brain
models
have
proven
to
be
useful
understand
the
emergence
of
collective
activity
among
neural
populations
or
brain
regions.
These
combine
connectivity
matrices,
connectomes
,
with
local
node
dynamics,
noise,
and,
eventually,
transmission
delays.
Multiple
choices
for
dynamics
been
proposed.
Among
them,
nonlinear
oscillators
corresponding
a
supercritical
Hopf
bifurcation
used
link
and
phase
amplitude
in
different
states.
Here,
we
studied
linear
fluctuations
this
model
estimate
its
stationary
statistics,
i.e.,
instantaneous
lagged
covariances
power
spectral
densities.
This
approximation—that
holds
case
heterogeneous
parameters
time-delays—allows
analytical
estimation
statistics
it
can
fast
parameter
explorations
study
changes
state,
due
alterations
structural
connectivity,
modulations
non-equilibrium
dynamics.
Nature Biomedical Engineering,
Journal Year:
2024,
Volume and Issue:
8(9), P. 1142 - 1161
Published: Aug. 5, 2024
Abstract
The
mechanisms
linking
the
brain’s
network
structure
to
cognitively
relevant
activation
patterns
remain
largely
unknown.
Here,
by
leveraging
principles
of
control,
we
show
how
architecture
human
connectome
shapes
transitions
between
123
experimentally
defined
cognitive
maps
(cognitive
topographies)
from
NeuroSynth
meta-analytic
database.
Specifically,
systematically
integrated
large-scale
multimodal
neuroimaging
data
functional
magnetic
resonance
imaging,
diffusion
tractography,
cortical
morphometry
and
positron
emission
tomography
simulate
anatomically
guided
states
can
be
reshaped
neurotransmitter
engagement
or
changes
in
thickness.
Our
model
incorporates
neurotransmitter-receptor
density
(18
receptors
transporters)
thickness
pertaining
a
wide
range
mental
health,
neurodegenerative,
psychiatric
neurodevelopmental
diagnostic
categories
(17,000
patients
22,000
controls).
results
provide
comprehensive
look-up
table
charting
brain
organization
chemoarchitecture
interact
manifest
different
topographies,
establish
principled
foundation
for
systematic
identification
ways
promote
selective
topographies.