Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Ноя. 26, 2024
Abstract
Traditional
models
of
human
brain
activity
often
represent
it
as
a
network
pairwise
interactions
between
regions.
Going
beyond
this
limitation,
recent
approaches
have
been
proposed
to
infer
higher-order
from
temporal
signals
involving
three
or
more
However,
day
remains
unclear
whether
methods
based
on
inferred
outperform
traditional
ones
for
the
analysis
fMRI
data.
To
address
question,
we
conducted
comprehensive
using
time
series
100
unrelated
subjects
Human
Connectome
Project.
We
show
that
greatly
enhance
our
ability
decode
dynamically
various
tasks,
improve
individual
identification
unimodal
and
transmodal
functional
subsystems,
strengthen
significantly
associations
behavior.
Overall,
approach
sheds
new
light
organization
series,
improving
characterization
dynamic
group
dependencies
in
rest
revealing
vast
space
unexplored
structures
within
data,
which
may
remain
hidden
when
approaches.
Язык: Английский
Entropy and Complexity Tools Across Scales in Neuroscience: A Review
Entropy,
Год журнала:
2025,
Номер
27(2), С. 115 - 115
Опубликована: Янв. 24, 2025
Understanding
the
brain’s
intricate
dynamics
across
multiple
scales—from
cellular
interactions
to
large-scale
brain
behavior—remains
one
of
most
significant
challenges
in
modern
neuroscience.
Two
key
concepts,
entropy
and
complexity,
have
been
increasingly
employed
by
neuroscientists
as
powerful
tools
for
characterizing
interplay
between
structure
function
scales.
The
flexibility
these
two
concepts
enables
researchers
explore
quantitatively
how
processes
information,
adapts
changing
environments,
maintains
a
delicate
balance
order
disorder.
This
review
illustrates
main
ideas
study
neural
phenomena
using
concepts.
does
not
delve
into
specific
methods
or
analyses
each
study.
Instead,
it
aims
offer
broad
overview
are
applied
within
neuroscientific
community
they
transforming
our
understanding
brain.
We
focus
on
their
applications
scales,
discuss
strengths
limitations
different
metrics,
examine
practical
theoretical
significance.
Язык: Английский
Effect of a Plant-Based Nootropic Supplement on Perceptual Decision-Making and Brain Network Interdependencies: A Randomised, Double-Blinded, and Placebo-Controlled Study
Brain Sciences,
Год журнала:
2025,
Номер
15(3), С. 226 - 226
Опубликована: Фев. 21, 2025
Background:
Natural
nootropic
compounds
are
evidenced
to
restore
brain
function
in
clinical
and
older
populations
purported
enhance
cognitive
abilities
healthy
cohorts.
This
study
aimed
provide
neurocomputational
insight
into
the
discrepancies
between
remarkable
self-reports
growing
interest
nootropics
among
adults
inconclusive
performance-enhancing
effects
found
literature.
Methods:
Towards
this
end,
we
devised
a
randomised,
double-blinded,
placebo-controlled
where
participants
performed
visual
categorisation
task
prior
following
60
days
of
supplementation
with
plant-based
nootropic,
while
electroencephalographic
(EEG)
signals
were
concurrently
captured.
Results:
We
that
although
no
improvements
choice
accuracy
or
reaction
times
observed,
application
multivariate
information-theoretic
measures
EEG
source
space
showed
broadband
increases
similar
complementary
interdependencies
across
networks
various
spatial
scales.
These
changes
not
only
resulted
localised
redundancy
network
interactions
but
also
more
significant
widespread
synergy,
especially
within
delta
frequency
band.
Conclusions:
Our
findings
suggest
natural
can
improve
overall
cohesion
energetic
efficiency,
computationally
demonstrating
beneficial
on
health.
However,
these
could
be
related
enhanced
rapid
perceptual
decision-making
performance
adult
sample.
Future
research
investigating
specific
as
enhancers
should
focus
complex
cognition
deliberative
tasks
(e.g.,
creativity,
learning)
over
longer
durations.
Clinical
trials
registration
number:
NCT06689644.
Язык: Английский
A general framework for interpretable neural learning based on local information-theoretic goal functions
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(10)
Опубликована: Март 5, 2025
Despite
the
impressive
performance
of
biological
and
artificial
networks,
an
intuitive
understanding
how
their
local
learning
dynamics
contribute
to
network-level
task
solutions
remains
a
challenge
this
date.
Efforts
bring
more
scale
indeed
lead
valuable
insights,
however,
general
constructive
approach
describe
goals
that
is
both
interpretable
adaptable
across
diverse
tasks
still
missing.
We
have
previously
formulated
information
processing
goal
highly
for
model
neuron
with
compartmental
structure.
Building
on
recent
advances
in
Partial
Information
Decomposition
(PID),
we
here
derive
corresponding
parametric
rule,
which
allows
us
introduce
"infomorphic"
neural
networks.
demonstrate
versatility
these
networks
perform
from
supervised,
unsupervised,
memory
learning.
By
leveraging
nature
PID
framework,
infomorphic
represent
tool
advance
our
intricate
structure
Язык: Английский
Emergence of a synergistic scaffold in the brains of human infants
Communications Biology,
Год журнала:
2025,
Номер
8(1)
Опубликована: Май 13, 2025
The
human
brain
is
a
complex
organ
comprising
billions
of
interconnected
neurons,
which
enables
interaction
with
both
physical
and
social
environments.
Neural
dynamics
the
whole
go
far
beyond
just
sum
its
individual
elements;
property
known
as
"synergy".
Previously
it
has
been
shown
that
synergy
crucial
for
many
functions
cognition,
however,
remains
unknown
how
when
large
number
discrete
neurons
evolve
into
unified
system
able
to
support
synergistic
interactions.
Here
we
analyzed
high-density
electroencephalography
data
from
late
fetal
period
one
month
after
term
age.
We
found
transitions
redundancy-dominated
synergy-dominated
around
birth.
Frontal
regions
lead
emergence
scaffold
comprised
overlapping
subsystems,
while
integration
sensory
areas
developed
gradually,
occipital
central
regions.
Strikingly,
early
developmental
trajectories
were
modulated
by
environmental
enrichment
associated
enhanced
mother-infant
interactions,
level
near
equivalent
age
was
later
neurocognitive
development.
Язык: Английский
Core of consciousness: the default mode network as nexus of convergence and divergence in the human brain
Current Opinion in Behavioral Sciences,
Год журнала:
2025,
Номер
65, С. 101545 - 101545
Опубликована: Июнь 5, 2025
Язык: Английский
Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Год журнала:
2023,
Номер
31, С. 4549 - 4560
Опубликована: Янв. 1, 2023
The
recovery
of
motor
functions
after
stroke
is
fostered
by
the
functional
integration
large-scale
brain
networks,
including
network
(MN)
and
high-order
cognitive
controls
such
as
default
mode
(DMN)
executive
control
(ECN)
networks.
In
this
paper,
electroencephalography
signals
are
used
to
investigate
interactions
among
these
three
resting
state
networks
(RSNs)
in
subacute
patients
rehabilitation.
A
novel
metric,
O-information
rate
(OIR),
quantify
balance
between
redundancy
synergy
complex
RSNs,
well
its
causal
decomposition
identify
direction
information
flow.
paper
also
employs
conditional
spectral
Granger
causality
assess
pairwise
directed
connectivity
RSNs.
After
rehabilitation,
a
increase
RSNs
found,
especially
driven
MN.
From
description,
reduced
towards
MN
enhanced
treatment.
Besides,
inter-network
changes
associated
with
recovery,
for
which
mediation
role
ECN
seems
play
relevant
role,
both
from
perspective.
Язык: Английский
A Synergistic Perspective on Multivariate Computation and Causality in Complex Systems
Entropy,
Год журнала:
2024,
Номер
26(10), С. 883 - 883
Опубликована: Окт. 21, 2024
What
does
it
mean
for
a
complex
system
to
"compute"
or
perform
"computations"?
Intuitively,
we
can
understand
"computation"
as
occurring
when
system's
state
is
function
of
multiple
inputs
(potentially
including
its
own
past
state).
Here,
discuss
how
computational
processes
in
systems
be
generally
studied
using
the
concept
statistical
synergy,
which
information
about
an
output
that
Язык: Английский
Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation
Military Medical Research,
Год журнала:
2024,
Номер
11(1)
Опубликована: Дек. 18, 2024
Abstract
Among
the
existing
research
on
treatment
of
disorders
consciousness
(DOC),
deep
brain
stimulation
(DBS)
offers
a
highly
promising
therapeutic
approach.
This
comprehensive
review
documents
historical
development
DBS
and
its
role
in
DOC,
tracing
progression
from
an
experimental
therapy
to
detailed
modulation
approach
based
mesocircuit
model
hypothesis.
The
hypothesis
suggests
that
DOC
arises
disruptions
critical
network
regions,
providing
framework
for
refining
targets.
We
also
discuss
multimodal
approaches
assessing
patients
with
encompassing
clinical
behavioral
scales,
electrophysiological
assessment,
neuroimaging
techniques
methods.
During
evolution
therapy,
segmentation
central
nuclei,
recording
single-neurons,
analysis
local
field
potentials
have
emerged
as
favorable
technical
factors
enhance
efficacy
treatment.
Advances
computational
models
facilitated
deeper
exploration
neural
dynamics
associated
linking
neuron-level
macroscopic
changes.
Despite
showing
outcomes,
challenges
remain
patient
selection,
precise
target
localization,
determination
optimal
parameters.
Future
should
focus
conducting
large-scale
controlled
studies
delve
into
pathophysiological
mechanisms
DOC.
It
is
imperative
further
elucidate
modulatory
effects
thalamo-cortical
cortico-cortical
functional
connectivity
networks.
Ultimately,
by
optimizing
neuromodulation
strategies,
we
aim
substantially
outcomes
greatly
expedite
process
recovery
patients.
Язык: Английский