A
central
goal
of
neuroscience
is
to
understand
how
the
brain
orchestrates
information
from
multiple
input
streams
into
a
unified
conscious
experience.
Here,
we
address
two
fundamental
questions:
human
information-processing
architecture
functionally
organised,
and
does
its
organisation
support
consciousness?
We
combine
network
science
rigorous
information-theoretic
notion
synergy
delineate
“synergistic
global
workspace”,
comprising
gateway
regions
that
gather
synergistic
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.
Demonstrating
empirical
relevance
our
proposed
for
neural
processing,
loss
consciousness
due
general
anaesthesia
or
disorders
corresponds
diminished
ability
integrate
information,
which
restored
upon
recovery.
Thus,
coincides
breakdown
integration
work
contributes
conceptual
reconciliation
between
prominent
scientific
theories
consciousness,
Global
Neuronal
Workspace
Integrated
Information
Theory.
Taken
together,
this
provides
new
perspective
on
role
resting-state
networks
architecture,
while
also
advancing
understanding
supports
through
information.
Neuroscience of Consciousness,
Journal Year:
2023,
Volume and Issue:
2023(1)
Published: Jan. 1, 2023
Recent
research
has
demonstrated
the
potential
of
psychedelic
therapy
for
mental
health
care.
However,
psychological
experience
underlying
its
therapeutic
effects
remains
poorly
understood.
This
paper
proposes
a
framework
that
suggests
psychedelics
act
as
destabilizers,
both
psychologically
and
neurophysiologically.
Drawing
on
'entropic
brain'
hypothesis
'RElaxed
Beliefs
Under
pSychedelics'
model,
this
focuses
richness
experience.
Through
complex
systems
theory
perspective,
we
suggest
destabilize
fixed
points
or
attractors,
breaking
reinforced
patterns
thinking
behaving.
Our
approach
explains
how
psychedelic-induced
increases
in
brain
entropy
neurophysiological
set
lead
to
new
conceptualizations
psychotherapy.
These
insights
have
important
implications
risk
mitigation
treatment
optimization
medicine,
during
peak
subacute
period
recovery.
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.
PLoS Computational Biology,
Journal Year:
2025,
Volume and Issue:
21(3), P. e1012795 - e1012795
Published: March 7, 2025
A
crucial
challenge
in
neuroscience
involves
characterising
brain
dynamics
from
high-dimensional
recordings.
Dynamic
Functional
Connectivity
(dFC)
is
an
analysis
paradigm
that
aims
to
address
this
challenge.
dFC
consists
of
a
time-varying
matrix
(dFC
matrix)
expressing
how
pairwise
interactions
across
areas
change
over
time.
However,
the
main
approaches
have
been
developed
and
applied
mostly
empirically,
lacking
common
theoretical
framework
clear
view
on
interpretation
results
derived
matrices.
Moreover,
community
has
not
using
most
efficient
algorithms
compute
process
matrices
efficiently,
which
prevented
showing
its
full
potential
with
datasets
and/or
real-time
applications.
In
paper,
we
introduce
Symmetric
Matrix
(DySCo),
associated
repository.
DySCo
presents
commonly
used
measures
language
implements
them
computationally
way.
This
allows
study
activity
at
different
spatio-temporal
scales,
down
voxel
level.
provides
single
to:
(1)
Use
as
tool
capture
interaction
patterns
data
form
easily
translatable
imaging
modalities.
(2)
Provide
comprehensive
set
quantify
properties
evolution
time:
amount
connectivity,
similarity
between
matrices,
their
informational
complexity.
By
combining
it
possible
perform
analysis.
(3)
Leverage
Temporal
Covariance
EVD
algorithm
(TCEVD)
store
eigenvectors
values
then
also
EVD.
Developing
eigenvector
space
orders
magnitude
faster
more
memory
than
naïve
space,
without
loss
information.
The
methodology
here
validated
both
synthetic
dataset
rest/N-back
task
experimental
fMRI
Human
Connectome
Project
dataset.
We
show
all
proposed
are
sensitive
changes
configurations
consistent
time
subjects.
To
illustrate
computational
efficiency
toolbox,
performed
level,
demanding
but
afforded
by
TCEVD.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Oct. 2, 2024
Evolutionarily
relevant
networks
have
been
previously
described
in
several
mammalian
species
using
time-averaged
analyses
of
fMRI
time-series.
However,
network
activity
is
highly
dynamic
and
continually
evolves
over
timescales
seconds.
Whether
the
organization
resting-state
conserved
across
remains
unclear.
Using
frame-wise
clustering
time-series,
we
find
that
intrinsic
dynamics
awake
male
macaques
humans
characterized
by
recurrent
transitions
between
a
set
4
dominant,
neuroanatomically
homologous
coactivation
modes
(C-modes),
three
which
are
also
plausibly
represented
rodent
brain.
Importantly,
all
C-modes
exhibit
species-invariant
features,
including
preferred
occurrence
at
specific
phases
global
signal
fluctuations,
state
transition
structure
compatible
with
infraslow
coupled
oscillator
dynamics.
Moreover,
dominant
C-mode
reconstitutes
static
connectome
species,
predictive
ranking
corresponding
connectivity
gradients.
These
results
reveal
principles
underlying
offer
novel
opportunities
to
relate
findings
phylogenetic
tree.
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.
PLoS Biology,
Journal Year:
2024,
Volume and Issue:
22(6), P. e3002664 - e3002664
Published: June 3, 2024
Neuroscientists
studying
the
neural
correlates
of
mouse
behavior
often
lack
access
to
brain-wide
activity
patterns
elicited
during
a
specific
task
interest.
Fortunately,
large-scale
imaging
is
becoming
increasingly
accessible
thanks
modalities
such
as
Ca2+
and
functional
ultrasound
(fUS).
However,
these
other
techniques
involve
challenging
cranial
window
procedures
are
difficult
combine
with
neuroscience
tools.
We
address
this
need
an
open-source
3D-printable
implant-the
COMBO
(ChrOnic
Multimodal
Behavioral
Observation)
window.
The
enables
chronic
large
portions
brain
in
head-fixed
mice
while
preserving
orofacial
movements.
validate
stability
using
both
fUS
multisite
two-photon
imaging.
Moreover,
we
demonstrate
how
facilitates
combination
optogenetics,
fUS,
electrophysiology
same
animals
study
effects
circuit
perturbations
at
single-neuron
level.
Overall,
provides
versatile
solution
for
performing
multimodal
recordings
mice.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2020,
Volume and Issue:
unknown
Published: Nov. 26, 2020
Abstract
A
central
goal
of
neuroscience
is
to
understand
how
the
brain
orchestrates
information
from
multiple
input
streams
into
a
unified
conscious
experience.
Here,
we
address
two
fundamental
questions:
human
information-processing
architecture
functionally
organised,
and
does
its
organisation
support
consciousness?
We
combine
network
science
rigorous
information-theoretic
notion
synergy
delineate
“synergistic
global
workspace”,
comprising
gateway
regions
that
gather
synergistic
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.
Demonstrating
empirical
relevance
our
proposed
for
neural
processing,
loss
consciousness
due
general
anaesthesia
or
disorders
corresponds
diminished
ability
integrate
information,
which
restored
upon
recovery.
Thus,
coincides
breakdown
integration
work
contributes
conceptual
reconciliation
between
prominent
scientific
theories
consciousness,
Global
Neuronal
Workspace
Integrated
Information
Theory.
Taken
together,
this
provides
new
perspective
on
role
resting-state
networks
architecture,
while
also
advancing
understanding
supports
through
information.
Cerebral Cortex,
Journal Year:
2023,
Volume and Issue:
33(17), P. 9718 - 9728
Published: June 28, 2023
Abstract
The
intrinsic
organizational
structure
of
the
brain
is
reflected
in
spontaneous
oscillations.
Its
functional
integration
and
segregation
hierarchy
have
been
discovered
space
by
leveraging
gradient
approaches
to
low-frequency
connectivity.
This
oscillations
has
not
yet
fully
understood,
since
previous
studies
mainly
concentrated
on
from
a
single
limited
frequency
range
(~
0.01–0.1
Hz).
In
this
work,
we
extended
performed
analysis
across
multiple
bands
fast
resting-state
fMRI
signals
Human
Connectome
Project
condensed
frequency-rank
cortical
map
highest
gradient.
We
found
that
coarse
skeletons
organization
are
generalizable
bands.
Beyond
that,
levels
connectivity
vary
domain
different
large-scale
networks.
These
findings
replicated
another
independent
dataset
demonstrated
networks
can
integrate
information
at
varying
rates,
indicating
significance
examining
architecture
activity
perspective
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 22, 2023
Abstract
Pang
et
al.
(2023)
present
novel
analyses
demonstrating
that
brain
dynamics
can
be
understood
as
resulting
from
the
excitation
of
geometric
modes,
derived
shape
brain.
Notably,
they
demonstrate
linear
combinations
modes
reconstruct
patterns
fMRI
data
more
accurately,
and
with
fewer
dimensions,
than
comparable
connectivity-derived
modes.
Equipped
these
results,
underpinned
by
neural
field
theory,
authors
contend
geometry
cortical
surface
provides
a
parsimonious
explanation
activity
structural
connectivity.
This
claim
runs
counter
to
prevailing
theories
information
flow
in
brain,
which
emphasize
role
long-distance
axonal
projections
fasciculated
white
matter
relaying
signals
between
regions
(Honey
2009;
Deco
2011;
Seguin
al.,
2023).
While
we
acknowledge
plays
an
important
shaping
human
function,
feel
presented
work
falls
short
establishing
brain’s
is
“a
fundamental
constraint
on
complex
interregional
connectivity”
(Pang
Here,
provide
1)
brief
critique
paper’s
framing
2)
evidence
showing
their
methodology
lacks
specificity
orientation
shape.
Ultimately,
recognize
mode
approach
powerful
representational
framework
for
analysis,
but
also
believe
there
are
key
caveats
consider
alongside
claims
made
manuscript.