Human Brain Mapping,
Journal Year:
2019,
Volume and Issue:
40(15), P. 4577 - 4587
Published: July 19, 2019
The
human
brain
is
intrinsically
organized
into
resting-state
networks
(RSNs).
Currently,
several
functional
atlases
are
used
to
define
the
spatial
constituents
of
these
RSNs.
However,
there
significant
concerns
about
interatlas
variability.
In
response,
we
undertook
a
quantitative
comparison
five
major
RSNs
(default
mode
[DMN],
salience,
central
executive,
sensorimotor,
and
visual
networks)
across
currently
available
(n
=
6)
in
which
demonstrated
that
(a)
similarity
between
was
modest
positively
linked
size
sample
construct
them;
(b)
atlases,
overlap
among
ranged
17
76%
(mean
39%),
resulted
variability
their
connectivity;
(c)
lower
order
were
generally
spatially
conserved
atlases;
(d)
higher
RSNs,
DMN
most
(e)
voxel-wise
flexibility
(i.e.,
likelihood
voxel
change
network
assignment
atlases)
high
for
subcortical
regions
low
sensory,
motor
medial
prefrontal
cortices,
precuneus.
facilitate
RSN
reproducibility
future
studies,
provide
new
freely
Consensual
Atlas
REsting-state
Networks,
based
on
reliable
atlases.
Cerebral Cortex,
Journal Year:
2020,
Volume and Issue:
30(8), P. 4361 - 4380
Published: Jan. 22, 2020
Numerous
brain
imaging
studies
identified
a
domain-general
or
"multiple-demand"
(MD)
activation
pattern
accompanying
many
tasks
and
may
play
core
role
in
cognitive
control.
Though
this
finding
is
well
established,
the
limited
spatial
localization
provided
by
traditional
methods
precluded
consensus
regarding
precise
anatomy,
functional
differentiation,
connectivity
of
MD
system.
To
address
these
limitations,
we
used
data
from
449
subjects
Human
Connectome
Project,
with
cortex
each
individual
parcellated
using
neurobiologically
grounded
multimodal
MRI
features.
The
conjunction
three
contrasts
reveals
10
widely
distributed
parcels
per
hemisphere
that
are
most
strongly
activated
functionally
interconnected,
surrounded
penumbra
17
additional
areas.
Outside
cerebral
cortex,
prominent
caudate
cerebellum.
Comparison
canonical
resting-state
networks
shows
regions
concentrated
fronto-parietal
network
but
also
engaging
other
networks.
activations
show
modest
relative
task
preferences
strong
co-recruitment.
With
anatomical
organization,
mosaic
preferences,
interconnectivity,
suggest
positioned
to
integrate
assemble
diverse
components
operations.
Our
delineation
provides
basis
for
refined
analyses
their
functions.
NeuroImage,
Journal Year:
2019,
Volume and Issue:
206, P. 116290 - 116290
Published: Oct. 18, 2019
An
important
aspect
of
network-based
analysis
is
robust
node
definition.
This
issue
critical
for
functional
brain
network
analyses,
as
poor
choice
can
lead
to
spurious
findings
and
misleading
inferences
about
organization.
Two
sets
nodes
from
our
group
are
well
represented
in
the
literature:
(1)
264
volumetric
regions
interest
(ROIs)
reported
Power
et
al.,
2011,
(2)
333
cortical
surface
parcels
Gordon
2016.
However,
subcortical
cerebellar
structures
either
incompletely
captured
or
missing
these
ROI
sets.
Therefore,
properties
organization
involving
subcortex
cerebellum
may
be
underappreciated
thus
far.
Here,
we
apply
a
winner-take-all
partitioning
method
resting-state
fMRI
data
generate
novel
functionally-constrained
ROIs
thalamus,
basal
ganglia,
amygdala,
hippocampus,
cerebellum.
We
validate
three
datasets
using
several
criteria,
including
agreement
with
existing
literature
anatomical
atlases.
Further,
demonstrate
that
combining
established
recapitulates
extends
previously
described
new
set
made
publicly
available
general
use,
full
list
MNI
coordinates
labels.
Journal of Neurophysiology,
Journal Year:
2020,
Volume and Issue:
124(5), P. 1415 - 1448
Published: Sept. 23, 2020
This
research
shows
that
a
language
network
can
be
identified
within
individuals
using
functional
connectivity.
Organizational
details
reveal
the
shares
common
spatial
motif
with
other
association
networks,
including
default
and
frontoparietal
control
networks.
The
is
activated
by
task
demands,
whereas
closely
juxtaposed
networks
are
not,
suggesting
similarly
organized
but
differentially
specialized
distributed
populate
cortex.
Proceedings of the National Academy of Sciences,
Journal Year:
2019,
Volume and Issue:
116(52), P. 26173 - 26180
Published: Dec. 23, 2019
Advances
in
neuroimaging
and
neuroanatomy
have
yielded
major
insights
concerning
fundamental
principles
of
cortical
organization
evolution,
thus
speaking
to
how
well
different
species
serve
as
models
for
human
brain
function
health
disease.
Here,
we
focus
on
folding,
parcellation,
connectivity
mice,
marmosets,
macaques,
humans.
Cortical
folding
patterns
vary
dramatically
across
species,
individual
variability
increases
with
surface
area.
Such
issues
are
best
analyzed
using
surface-based
approaches
that
respect
the
topology
sheet.
Many
aspects
can
be
revealed
1
type
information
(modality)
at
a
time,
such
maps
myelin
content.
However,
accurate
delineation
entire
mosaic
areas
requires
multimodal
approach
about
function,
architecture,
connectivity,
topographic
organization.
Comparisons
4
aforementioned
reveal
dramatic
differences
total
number
arrangement
areas,
particularly
between
rodents
primates.
Hemispheric
bilateral
asymmetry
most
pronounced
humans,
which
evaluated
high-quality
parcellation
hundreds
individuals.
Asymmetries
include
modest
areal
size
but
not
identity.
Analyses
anatomical
tracers
highly
distributed
wide
range
connection
weights
monkeys
mice;
indirect
measures
functional
MRI
suggest
similar
pattern
Altogether,
multifaceted
integrated
exploring
primate
nonprimate
provides
complementary
advantages
perspectives.
Proceedings of the National Academy of Sciences,
Journal Year:
2020,
Volume and Issue:
117(29), P. 17308 - 17319
Published: July 6, 2020
Significance
The
human
brain
is
organized
into
large
networks.
One
important
network
the
Default
network,
which
enables
cognitive
functions
such
as
social
thinking,
memory,
and
reward.
In
group-averaged
data,
this
emerges
a
unitary
whole,
despite
its
involvement
in
multiple
functions.
Here,
we
tested
whether
networks
found
individual
humans,
rather
than
group-average
networks,
contain
substructure.
individuals,
consistently
nine
subnetworks
within
network.
These
matched
activity
patterns
during
tasks.
Some
resembled
circuits
involved
specific
Others
linked
to
other
summary,
study
describes
set
of
humans.