NeuroImage,
Journal Year:
2022,
Volume and Issue:
258, P. 119250 - 119250
Published: June 1, 2022
The
field
of
network
neuroscience
has
emerged
as
a
natural
framework
for
the
study
brain
and
been
increasingly
applied
across
divergent
problems
in
neuroscience.
From
disciplinary
perspective,
originally
formal
integration
graph
theory
(from
mathematics)
biology).
This
early
afforded
marked
utility
describing
interconnected
nature
neural
units,
both
structurally
functionally,
underscored
relevance
that
interconnection
cognition
behavior.
But
since
its
inception,
not
remained
static
methodological
composition.
Instead,
it
grown
to
use
advanced
graph-theoretic
tools
bring
several
other
perspectives-including
machine
learning
systems
engineering-that
have
proven
complementary.
In
doing
so,
problem
space
amenable
discipline
expanded
markedly.
this
review,
we
discuss
three
distinct
flavors
investigation
state-of-the-art
neuroscience:
(i)
descriptive
neuroscience,
(ii)
predictive
(iii)
perturbative
draws
on
recent
advances
control
theory.
considering
each
area,
provide
brief
summary
approaches,
insights
obtained,
highlight
future
directions.
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 17, 2024
The
study
of
brain
differences
across
Eastern
and
Western
populations
provides
vital
insights
for
understanding
potential
cultural
genetic
influences
on
cognition
mental
health.
Diffusion
MRI
(dMRI)
tractography
is
an
important
tool
in
assessing
white
matter
(WM)
connectivity
tissue
microstructure
different
populations.
However,
a
comprehensive
investigation
into
WM
fiber
tracts
between
challenged
due
to
the
lack
cross-population
atlas
large
site-specific
variability
dMRI
data.
This
presents
atlas,
namely
East-West
Atlas,
concurrent
mapping
creates
large,
harmonized
dataset
(n=306)
based
Human
Connectome
Project
Chinese
Project.
curated
as
well
subject-specific
data
including
data,
whole
parcellated
their
diffusion
measures,
are
publicly
released.
resource
valuable
addition
facilitating
exploration
commonalities
diverse
backgrounds.
NeuroImage,
Journal Year:
2021,
Volume and Issue:
246, P. 118739 - 118739
Published: Nov. 29, 2021
Language
and
theory
of
mind
(ToM)
are
the
cognitive
capacities
that
allow
for
successful
interpretation
expression
meaning.
While
functional
MRI
investigations
able
to
consistently
localize
language
ToM
specific
cortical
regions,
diffusion
point
an
inconsistent
sometimes
overlapping
set
white
matter
tracts
associated
with
these
two
domains.
To
further
examine
may
underlie
domains,
we
use
a
two-tensor
tractography
method
investigate
microstructure
809
participants
from
Human
Connectome
Project.
20
association
(10
in
each
hemisphere)
uniquely
identified
by
leveraging
neuroanatomist-curated
automated
tract
atlas.
The
fractional
anisotropy
(FA),
mean
diffusivity
(MD),
number
streamlines
(NoS)
measured
tract.
Performance
on
neuropsychological
assessments
semantic
memory
(NIH
Toolbox
Picture
Vocabulary
Test,
TPVT)
emotion
perception
(Penn
Emotion
Recognition
PERT)
used
measure
critical
subcomponents
networks,
respectively.
Regression
models
constructed
how
structural
measurements
left
right
influence
performance
across
assessments.
We
find
is
influenced
superior
longitudinal
fasciculus
III
(SLF-III),
SLF-III.
Additionally,
both
&
FA
arcuate
(AF).
results
multiple,
domains
ToM.
Results
discussed
terms
hemispheric
dominance
concordance
prior
investigations.
NeuroImage,
Journal Year:
2022,
Volume and Issue:
258, P. 119250 - 119250
Published: June 1, 2022
The
field
of
network
neuroscience
has
emerged
as
a
natural
framework
for
the
study
brain
and
been
increasingly
applied
across
divergent
problems
in
neuroscience.
From
disciplinary
perspective,
originally
formal
integration
graph
theory
(from
mathematics)
biology).
This
early
afforded
marked
utility
describing
interconnected
nature
neural
units,
both
structurally
functionally,
underscored
relevance
that
interconnection
cognition
behavior.
But
since
its
inception,
not
remained
static
methodological
composition.
Instead,
it
grown
to
use
advanced
graph-theoretic
tools
bring
several
other
perspectives-including
machine
learning
systems
engineering-that
have
proven
complementary.
In
doing
so,
problem
space
amenable
discipline
expanded
markedly.
this
review,
we
discuss
three
distinct
flavors
investigation
state-of-the-art
neuroscience:
(i)
descriptive
neuroscience,
(ii)
predictive
(iii)
perturbative
draws
on
recent
advances
control
theory.
considering
each
area,
provide
brief
summary
approaches,
insights
obtained,
highlight
future
directions.
