Biological Psychiatry Global Open Science,
Journal Year:
2021,
Volume and Issue:
2(4), P. 319 - 331
Published: Oct. 22, 2021
Noninvasive
neuroimaging
is
a
powerful
tool
for
quantifying
diverse
aspects
of
brain
structure
and
function
in
vivo,
it
has
been
used
extensively
to
map
the
neural
changes
associated
with
various
disorders.
However,
most
techniques
offer
only
indirect
measures
underlying
pathological
mechanisms.
The
recent
development
anatomically
comprehensive
gene
expression
atlases
opened
new
opportunities
studying
transcriptional
correlates
noninvasively
measured
phenotypes,
offering
rich
framework
evaluating
pathophysiological
hypotheses
putative
Here,
we
provide
an
overview
some
fundamental
methods
imaging
transcriptomics
outline
their
application
understanding
disorders
neurodevelopment,
adulthood,
neurodegeneration.
Converging
evidence
indicates
that
spatial
variations
are
linked
normative
during
age-related
maturation
neurodegeneration
part
cell-specific
markers
expression.
Transcriptional
disorder-related
phenotypes
also
transcriptionally
dysregulated
genes
identified
ex
vivo
analyses
patient
brains.
Modeling
studies
demonstrate
patterns
involved
regional
vulnerability
spread
disease
across
brain.
This
growing
body
work
supports
utility
testing
about
molecular
mechanism
driving
disease-related
macroscopic
phenotypes.
The
intrinsic
dynamics
of
neuronal
populations
are
shaped
by
both
microscale
attributes
and
macroscale
connectome
architecture.
Here
we
comprehensively
characterize
the
rich
temporal
patterns
neural
activity
throughout
human
brain.
Applying
massive
feature
extraction
to
regional
haemodynamic
activity,
systematically
estimate
over
6000
statistical
properties
individual
brain
regions'
time-series
across
neocortex.
We
identify
two
robust
spatial
gradients
dynamics,
one
spanning
a
ventromedial-dorsolateral
axis
dominated
measures
signal
autocorrelation,
other
unimodal-transmodal
dynamic
range.
These
reflect
gene
expression,
intracortical
myelin
cortical
thickness,
as
well
structural
functional
network
embedding.
Importantly,
these
correlated
with
meta-analytic
activation,
differentiating
cognitive
versus
affective
processing
sensory
higher-order
processing.
Altogether,
findings
demonstrate
link
between
architecture,
cognition.
Biological Psychiatry,
Journal Year:
2019,
Volume and Issue:
87(8), P. 727 - 735
Published: Oct. 24, 2019
There
is
growing
recognition
that
connectome
architecture
shapes
cortical
and
subcortical
gray
matter
atrophy
across
a
spectrum
of
neurological
psychiatric
diseases.
Whether
connectivity
contributes
to
tissue
volume
loss
in
schizophrenia
the
same
manner
remains
unknown.Here,
we
relate
patients
with
patterns
structural
functional
connectivity.
Gray
deformation
was
estimated
sample
133
individuals
chronic
(48
women,
mean
age
34.7
±
12.9
years)
113
control
subjects
(64
23.5
8.4
years).
Deformation-based
morphometry
used
estimate
from
T1-weighted
magnetic
resonance
images.
Structural
were
derived
an
independent
70
healthy
participants
using
diffusion
imaging
resting-state
imaging.We
found
regional
correlated
structurally
functionally
connected
neighbors.
Distributed
are
circumscribed
by
specific
systems
(the
ventral
attention
network)
cytoarchitectonic
classes
(limbic
class),
epicenter
anterior
cingulate
cortex.Altogether,
present
study
demonstrates
brain
conditioned
connectivity,
accounting
for
25%
35%
variance
deformation.
Physical Review Letters,
Journal Year:
2018,
Volume and Issue:
121(15)
Published: Oct. 12, 2018
Many
neurodegenerative
diseases
are
related
to
the
propagation
and
accumulation
of
toxic
proteins
throughout
brain.
The
lesions
created
by
aggregates
these
further
lead
cell
death
accelerated
tissue
atrophy.
A
striking
feature
some
is
their
characteristic
pattern
evolution,
leading
well-codified
disease
stages
visible
neuropathology
associated
with
various
cognitive
deficits
pathologies.
Here,
we
simulate
anisotropic
in
full
brain
geometry.
We
show
that
same
model
different
initial
seeding
zones
reproduces
evolution
prionlike
diseases.
also
recover
expected
total
protein
load.
Finally,
couple
our
transport
a
mechanical
atrophy
obtain
typical
degeneration
patterns
found
Brain,
Journal Year:
2022,
Volume and Issue:
146(1), P. 321 - 336
Published: Feb. 17, 2022
Connections
among
brain
regions
allow
pathological
perturbations
to
spread
from
a
single
source
region
multiple
regions.
Patterns
of
neurodegeneration
in
diseases,
including
behavioural
variant
frontotemporal
dementia
(bvFTD),
resemble
the
large-scale
functional
systems,
but
how
bvFTD-related
atrophy
patterns
relate
structural
network
organization
remains
unknown.
Here
we
investigate
whether
sporadic
and
genetic
bvFTD
are
conditioned
by
connectome
architecture.
Regional
were
estimated
both
(75
patients,
247
controls)
(70
123
controls).
First,
identified
distributed
bvFTD,
mainly
targeting
areas
associated
with
limbic
intrinsic
insular
cytoarchitectonic
class.
was
significantly
correlated
structurally-
functionally-connected
neighbours,
demonstrating
that
structure
shapes
patterns.
The
anterior
insula
as
predominant
group
epicentre
using
data-driven
simulation-based
methods,
some
secondary
frontal
ventromedial
antero-medial
temporal
areas.
We
found
FTD-related
genes,
namely
C9orf72
TARDBP,
confer
local
transcriptomic
vulnerability
disease,
modulating
propagation
pathology
through
connectome.
Collectively,
our
results
demonstrate
jointly
shaped
global
architecture
vulnerability,
providing
an
explanation
heterogenous
entities
can
lead
same
clinical
syndrome.
PLoS Biology,
Journal Year:
2023,
Volume and Issue:
21(9), P. e3002314 - e3002314
Published: Sept. 25, 2023
The
brain
is
composed
of
disparate
neural
populations
that
communicate
and
interact
with
one
another.
Although
fiber
bundles,
similarities
in
molecular
architecture,
synchronized
activity
all
reflect
how
regions
potentially
another,
a
comprehensive
study
these
interregional
relationships
jointly
structure
function
remains
missing.
Here,
we
systematically
integrate
7
multimodal,
multiscale
types
similarity
("connectivity
modes")
derived
from
gene
expression,
neurotransmitter
receptor
density,
cellular
morphology,
glucose
metabolism,
haemodynamic
activity,
electrophysiology
humans.
We
first
show
for
connectivity
modes,
feature
decreases
distance
increases
when
are
structurally
connected.
Next,
modes
exhibit
unique
diverse
connection
patterns,
hub
profiles,
spatial
gradients,
modular
organization.
Throughout,
observe
consistent
primacy
modes-namely
correlated
expression
similarity-that
map
onto
multiple
phenomena,
including
the
rich
club
patterns
abnormal
cortical
thickness
across
13
neurological,
psychiatric,
neurodevelopmental
disorders.
Finally,
to
construct
single
multimodal
wiring
human
cortex,
fuse
fused
network
maps
major
organizational
features
cortex
structural
connectivity,
intrinsic
functional
networks,
cytoarchitectonic
classes.
Altogether,
this
work
contributes
integrative
cerebral
cortex.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 26, 2024
Abstract
Cortical
thinning
is
an
important
hallmark
of
the
maturation
brain
morphology
during
childhood
and
adolescence.
However,
connectome-based
wiring
mechanism
that
underlies
cortical
remains
unclear.
Here,
we
show
patterns
primarily
located
in
lateral
frontal
parietal
heteromodal
nodes
adolescence,
which
are
structurally
constrained
by
white
matter
network
architecture
particularly
represented
using
a
network-based
diffusion
model.
Furthermore,
constraints
regionally
heterogeneous,
with
largest
residing
frontoparietal
nodes,
associated
gene
expression
signatures
microstructural
neurodevelopmental
events.
These
results
highly
reproducible
another
independent
dataset.
findings
advance
our
understanding
network-level
mechanisms
genetic
basis
maturational
process