PLoS Computational Biology,
Journal Year:
2025,
Volume and Issue:
21(1), P. e1012691 - e1012691
Published: Jan. 7, 2025
Identifying
the
driver
nodes
of
a
network
has
crucial
implications
in
biological
systems
from
unveiling
causal
interactions
to
informing
effective
intervention
strategies.
Despite
recent
advances
control
theory,
results
remain
inaccurate
as
number
drivers
becomes
too
small
compared
size,
thus
limiting
concrete
usability
many
real-life
applications.
To
overcome
this
issue,
we
introduced
framework
that
integrates
principles
spectral
graph
theory
and
output
controllability
project
state
into
smaller
topological
space
formed
by
Laplacian
structure.
Through
extensive
simulations
on
synthetic
real
networks,
showed
relatively
low
projected
components
can
significantly
improve
accuracy.
By
introducing
new
low-dimensional
metric
experimentally
validated
our
method
N
=
6134
human
connectomes
obtained
UK-biobank
cohort.
Results
revealed
previously
unappreciated
influential
brain
regions,
enabled
draw
directed
maps
between
differently
specialized
cerebral
systems,
yielded
insights
hemispheric
lateralization.
Taken
together,
offered
theoretically
grounded
solution
deal
with
provided
brain.
Brain,
Journal Year:
2018,
Volume and Issue:
141(4), P. 1186 - 1200
Published: Jan. 6, 2018
Patients
with
Alzheimer's
disease
vary
in
their
ability
to
sustain
cognitive
abilities
the
presence
of
brain
pathology.
A
major
open
question
is
which
mechanisms
may
support
higher
reserve
capacity,
i.e.
relatively
high
performance
at
a
given
level
Higher
functional
MRI-assessed
connectivity
hub
left
frontal
cortex
core
candidate
mechanism
underlying
as
it
associated
education
(i.e.
protective
factor
often
reserve)
and
attenuated
impairment
prodromal
disease.
However,
no
study
has
yet
assessed
whether
such
supports
throughout
evolution
pathological
changes
disease,
including
presymptomatic
stage
when
decline
subtle.
To
address
this
research
gap,
we
obtained
cross-sectional
resting
state
MRI
74
participants
autosomal
dominant
55
controls
from
Dominantly
Inherited
Network
75
amyloid-positive
elderly
participants,
well
41
amyloid-negative
cognitively
normal
subjects
German
Center
Neurodegenerative
Diseases
multicentre
on
biomarkers
sporadic
For
each
participant,
global
was
computed
average
between
(seed)
voxel
grey
matter.
As
marker
stage,
applied
estimated
years
symptom
onset
dominantly
inherited
cerebrospinal
fluid
tau
levels
cases.
In
both
patients,
were
correlated
greater
education.
significant
×
interaction
found,
indicating
slower
memory
cognition
connectivity.
Similarly,
subjects,
effect
Polynomial
regression
analysis
showed
that
trajectory
shifted
towards
later
patients
Together,
our
findings
suggest
resilience
against
development
early
stages
least
partially
attributable
cortex-hub
Brain,
Journal Year:
2021,
Volume and Issue:
144(7), P. 2176 - 2185
Published: March 12, 2021
Abstract
Cognitive
resilience
is
an
important
modulating
factor
of
cognitive
decline
in
Alzheimer’s
disease,
but
the
functional
brain
mechanisms
that
support
remain
elusive.
Given
previous
findings
normal
ageing,
we
tested
hypothesis
higher
segregation
brain’s
connectome
into
distinct
networks
represents
a
mechanism
underlying
disease.
Using
resting-state
MRI,
assessed
both
MRI
global
system
segregation,
i.e.
balance
between-network
to
within-network
connectivity,
and
alternate
index
modularity
Q
as
predictors
resilience.
We
performed
all
analyses
two
independent
samples
for
validation:
(i)
108
individuals
with
autosomal
dominantly
inherited
disease
71
non-carrier
controls;
(ii)
156
amyloid-PET-positive
subjects
across
spectrum
sporadic
184
amyloid-negative
controls.
In
dominant
sample,
severity
was
by
estimated
years
from
symptom
onset.
stage
temporal
lobe
tau-PET
(i.e.
composite
Braak
I
III
regions).
samples,
whether
effect
on
cognition
attenuated
at
levels
network
segregation.
For
found
MRI-assessed
be
associated
onset
(P
=
0.007).
Similarly,
patients
less
decrement
0.001)
episodic
memory
0.004)
per
unit
increase
tau-PET.
Confirmatory
using
revealed
consistent
results.
conclusion,
connections
large-scale
supports
Frontiers in Behavioral Neuroscience,
Journal Year:
2021,
Volume and Issue:
14
Published: Jan. 20, 2021
Increasing
attention
has
been
given
to
understanding
resilience
brain
diseases,
often
described
as
or
cognitive
reserve.
Among
the
protective
factors
for
development
of
resilience,
physical
activity/exercise
considered
play
an
important
role.
Exercise
is
known
induce
many
positive
effects
on
brain.
As
such,
exercise
represents
tool
influence
neurodevelopment
and
shape
adult
react
life's
challenges.
beneficial
effects,
intervention
associated
with
improvement
stress
in
humans
animal
models.
Thus,
a
growing
number
studies
have
demonstrated
that
not
only
recovers
minimizes
deficits
by
inducing
better
neuroplasticity
reserve
but
also
counteracts
pathology.
This
evidenced
before
disease
onset
after
it
established.
In
this
review,
we
aimed
present
encouraging
data
from
current
clinical
pre-clinical
neuroscience
research
discuss
possible
biological
mechanisms
underlying
resilience.
We
consider
implication
aging
some
neurological
diseases.
Overall,
literature
indicates
brain/cognitive
built
up
regular
several
stages
life,
prepares
be
more
resilient
impairment
consequently
NeuroImage Clinical,
Journal Year:
2022,
Volume and Issue:
35, P. 103108 - 103108
Published: Jan. 1, 2022
Multiple
sclerosis
is
a
neuroinflammatory
and
neurodegenerative
disorder
of
the
central
nervous
system
that
can
be
considered
network
disorder.
In
MS,
lesional
pathology
continuously
disconnects
structural
pathways
in
brain,
forming
disconnection
syndrome.
Complex
functional
changes
then
occur
are
poorly
understood
but
closely
follow
clinical
status.
Studying
these
has
been
remains
crucial
to
further
decipher
complex
symptoms
like
cognitive
impairment
physical
disability.
Recent
insights
especially
implicate
importance
monitoring
hubs
thalamus
default-mode
which
seem
hit
hard.
Such
MS
have
led
hypothesis
as
continues
become
disconnected
dysfunctional,
exceeding
certain
threshold
efficiency
loss
leads
"network
collapse".
After
this
collapse,
rigid
overloaded,
at
same
time
faster
neurodegeneration
accelerated
(and
cognitive)
progression
seen.
As
neuroscience
evolved,
field
now
move
towards
clearer
classification
collapse
itself
specific
milestone
events
leading
up
it.
an
updated
network-focused
conceptual
framework
could
directly
impact
decision
making
well
design
network-tailored
rehabilitation
strategies.
This
review
therefore
provides
overview
recent
concepts
enhanced
our
understanding
focusing
on
cognition,
new
will
likely
forward
near
future.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2023,
Volume and Issue:
149, P. 105167 - 105167
Published: April 11, 2023
Noradrenergic
and
cholinergic
systems
are
among
the
most
vulnerable
brain
in
neuropsychiatric
diseases
of
ageing,
including
Alzheimer's
disease,
Parkinson's
Lewy
body
dementia,
progressive
supranuclear
palsy.
As
these
fail,
they
contribute
directly
to
many
characteristic
cognitive
psychiatric
symptoms.
However,
their
contribution
symptoms
is
not
sufficiently
understood,
pharmacological
interventions
targeting
noradrenergic
have
met
with
mixed
success.
Part
challenge
complex
neurobiology
systems,
operating
across
multiple
timescales,
non-linear
changes
adult
lifespan
disease
course.
We
address
challenges
a
detailed
review
outlining
roles
cognition
behaviour,
how
influence
disease.
By
bridging
levels
analysis,
we
highlight
opportunities
for
improving
drug
therapies
pursuing
personalised
medicine
strategies.
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.
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.
Biology,
Journal Year:
2025,
Volume and Issue:
14(4), P. 395 - 395
Published: April 10, 2025
The
Default
Mode
Network
has
been
extensively
studied
in
recent
decades
due
to
its
central
role
higher
cognitive
processes
and
relevance
for
understanding
mental
disorders.
This
neural
network,
characterized
by
synchronized
coherent
activity
at
rest,
is
intrinsically
linked
self-reflection,
exploration,
social
interaction,
emotional
processing.
Our
of
the
DMN
extends
beyond
humans
non-human
animals,
where
it
observed
various
species,
highlighting
evolutionary
basis
adaptive
significance
throughout
phylogenetic
history.
Additionally,
plays
a
crucial
brain
development
during
childhood
adolescence,
influencing
fundamental
processes.
literature
review
aims
provide
comprehensive
overview
DMN,
addressing
structural,
functional,
aspects,
as
well
impact
from
infancy
adulthood.
By
gaining
deeper
organization
function
we
can
advance
our
knowledge
mechanisms
that
underlie
cognition,
behavior,
health.
This,
turn,
lead
more
effective
therapeutic
strategies
range
neuropsychiatric
conditions.