Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications
Frontiers in Cellular Neuroscience,
Journal Year:
2025,
Volume and Issue:
19
Published: Feb. 19, 2025
The
brain's
complex
organization
spans
from
molecular-level
processes
within
neurons
to
large-scale
networks,
making
it
essential
understand
this
multiscale
structure
uncover
brain
functions
and
address
neurological
disorders.
Multiscale
modeling
has
emerged
as
a
transformative
approach,
integrating
computational
models,
advanced
imaging,
big
data
bridge
these
levels
of
organization.
This
review
explores
the
challenges
opportunities
in
linking
microscopic
phenomena
macroscopic
functions,
emphasizing
methodologies
driving
progress
field.
It
also
highlights
clinical
potential
including
their
role
advancing
artificial
intelligence
(AI)
applications
improving
healthcare
technologies.
By
examining
current
research
proposing
future
directions
for
interdisciplinary
collaboration,
work
demonstrates
how
can
revolutionize
both
scientific
understanding
practice.
Language: Английский
Living on the edge: network neuroscience beyond nodes
Trends in Cognitive Sciences,
Journal Year:
2023,
Volume and Issue:
27(11), P. 1068 - 1084
Published: Sept. 15, 2023
Network
neuroscience
has
emphasized
the
connectional
properties
of
neural
elements
-
cells,
populations,
and
regions.
This
come
at
expense
anatomical
functional
connections
that
link
these
to
one
another.
A
new
perspective
namely
emphasizes
'edges'
may
prove
fruitful
in
addressing
outstanding
questions
network
neuroscience.
We
highlight
recently
proposed
'edge-centric'
method
review
its
current
applications,
merits,
limitations.
also
seek
establish
conceptual
mathematical
links
between
this
previously
approaches
science
neuroimaging
literature.
conclude
by
presenting
several
avenues
for
future
work
extend
refine
existing
edge-centric
analysis.
Language: Английский
Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain
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.
Language: Английский
Spatiotemporal relationships between neuronal, metabolic, and hemodynamic signals in the awake and anesthetized mouse brain
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(9), P. 114723 - 114723
Published: Sept. 1, 2024
Language: Английский
Distinct Time-Resolved Brain-Wide Coactivations in Oxygenated and Deoxygenated Hemoglobin
IEEE Transactions on Biomedical Engineering,
Journal Year:
2024,
Volume and Issue:
71(8), P. 2463 - 2472
Published: March 18, 2024
Human
resting-state
networks
(RSNs)
estimated
from
oxygenated
(HbO)
and
deoxygenated
hemoglobin
(HbR)
data
exhibit
strong
similarities,
while
task-based
studies
show
different
dynamics
in
HbR
HbO
responses.
Such
a
discrepancy
might
be
explained
due
to
time-averaged
estimations
of
RSNs.
Our
study
investigated
differences
between
on
time-resolved
brain-wide
coactivation
patterns
(CAPs).
Language: Английский