NeuroImage,
Journal Year:
2023,
Volume and Issue:
273, P. 120010 - 120010
Published: March 12, 2023
Resting-state
fMRI
is
commonly
used
to
derive
brain
parcellations,
which
are
widely
for
dimensionality
reduction
and
interpreting
human
neuroscience
studies.
We
previously
developed
a
model
that
integrates
local
global
approaches
estimating
areal-level
cortical
parcellations.
The
resulting
local-global
parcellations
often
referred
as
the
Schaefer
However,
lack
of
homotopic
correspondence
between
left
right
parcels
has
limited
their
use
lateralization
Here,
we
extend
our
previous
Using
resting-fMRI
task-fMRI
across
diverse
scanners,
acquisition
protocols,
preprocessing
demographics,
show
homogeneous
while
being
more
than
five
publicly
available
Furthermore,
weaker
correlations
associated
with
greater
in
resting
network
organization,
well
language
motor
task
activation.
Finally,
agree
boundaries
number
areas
estimated
from
histology
visuotopic
fMRI,
capturing
sub-areal
(e.g.,
somatotopic
visuotopic)
features.
Overall,
these
results
suggest
represent
neurobiologically
meaningful
subdivisions
cerebral
cortex
will
be
useful
resource
future
Multi-resolution
1479
participants
(https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Yan2023_homotopic).
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: May 15, 2020
The
functional
network
of
the
brain
continually
adapts
to
changing
environmental
demands.
consequence
behavioral
automation
for
task-related
architecture
remains
far
from
understood.
We
investigated
neural
reflections
as
participants
mastered
a
dual
n-back
task.
In
four
fMRI
scans
equally
spanning
6-week
training
period,
we
assessed
modularity,
substrate
adaptation
in
biological
systems.
found
that
whole-brain
modularity
steadily
increased
during
both
conditions
dynamic
analysis,we
autonomy
default
mode
system
and
integration
among
task-positive
systems
were
modulated
by
training.
task
through
resulted
non-linear
changes
between
fronto-parietal
systems,
with
subcortical
system.
Our
findings
suggest
cognitively
demanding
may
result
more
segregated
organization.
Advances in Methods and Practices in Psychological Science,
Journal Year:
2020,
Volume and Issue:
3(4), P. 466 - 483
Published: Nov. 30, 2020
There
is
an
increased
emphasis
on
visualizing
neuroimaging
results
in
more
intuitive
ways.
Common
statistical
tools
for
dissemination
of
these
results,
such
as
bar
charts,
lack
the
spatial
dimension
that
inherent
data.
Here
we
present
two
packages
software
R
integrate
this
component.
The
ggseg
and
ggseg3d
visualize
predefined
brain
segmentations
2D
polygons
3D
meshes,
respectively.
Both
are
integrated
with
other
well-established
packages,
which
allows
great
flexibility.
In
Tutorial,
describe
main
data
functions
visualization
atlases.
highlighted
able
to
display
brain-segmentation
plots
R.
Further,
accompanying
ggsegExtra
package
includes
a
wider
collection
atlases
intended
community-based
efforts
develop
additional
compatible
ggseg3d.
Overall,
facilitate
parcellation-based
visualizations
R,
improve
increase
efficiency
workflows.
Cerebral Cortex,
Journal Year:
2021,
Volume and Issue:
31(10), P. 4477 - 4500
Published: March 31, 2021
Resting-state
functional
magnetic
resonance
imaging
(rs-fMRI)
allows
estimation
of
individual-specific
cortical
parcellations.
We
have
previously
developed
a
multi-session
hierarchical
Bayesian
model
(MS-HBM)
for
estimating
high-quality
network-level
Here,
we
extend
the
to
estimate
areal-level
While
parcellations
comprise
spatially
distributed
networks
spanning
cortex,
consensus
is
that
parcels
should
be
localized,
is,
not
span
multiple
lobes.
There
disagreement
about
whether
strictly
contiguous
or
noncontiguous
components;
therefore,
considered
three
MS-HBM
variants
these
range
possibilities.
Individual-specific
estimated
using
10
min
data
generalized
better
than
other
approaches
150
out-of-sample
rs-fMRI
and
task-fMRI
from
same
individuals.
connectivity
derived
also
achieved
best
behavioral
prediction
performance.
Among
variants,
exhibited
resting-state
homogeneity
most
uniform
within-parcel
task
activation.
In
terms
prediction,
gradient-infused
was
numerically
best,
but
differences
among
were
statistically
significant.
Overall,
results
suggest
MS-HBMs
can
capture
behaviorally
meaningful
parcellation
features
beyond
group-level
Multi-resolution
trained
models
are
publicly
available
(https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Kong2022_ArealMSHBM).
The
central
processing
pathways
of
the
human
olfactory
system
are
not
fully
understood.
bulb
projects
directly
to
a
number
cortical
brain
structures,
but
distinct
networks
formed
by
projections
from
each
these
structures
rest
have
been
well-defined.
Here,
we
used
functional
magnetic
resonance
imaging
and
k-means
clustering
parcellate
primary
cortex
into
clusters
based
on
whole-brain
connectivity
patterns.
Resulting
accurately
corresponded
anterior
nucleus,
tubercle,
frontal
temporal
piriform
cortices,
suggesting
dissociable
subregions
cortex.
This
result
was
replicated
in
an
independent
data
set.
We
then
characterized
unique
profiles
subregion,
producing
map
large-scale
system.
These
results
provide
insight
anatomical
organization
