Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Май 28, 2024
Abstract
Associations
between
brain
and
obesity
are
bidirectional:
changes
in
structure
function
underpin
over-eating,
while
chronic
adiposity
leads
to
atrophy.
Investigating
brain-obesity
interactions
across
the
lifespan
can
help
better
understand
these
relationships.
This
study
explores
interaction
cortical
morphometry
children,
young
adults,
older
adults.
We
also
investigate
genetic,
neurochemical,
cognitive
correlates
of
associations.
Our
findings
reveal
a
pattern
lower
thickness
fronto-temporal
regions
associated
with
all
age
cohorts
varying
age-dependent
patterns
remaining
regions.
In
adults
neurochemical
expression
inflammatory
mitochondrial
genes.
children
is
modifications
involved
emotional
attentional
processes.
Thus,
might
originate
from
during
early
adolescence,
leading
neurodegeneration
later
life
through
mechanisms.
NeuroImage,
Год журнала:
2021,
Номер
236, С. 118052 - 118052
Опубликована: Апрель 19, 2021
Technological
and
data
sharing
advances
have
led
to
a
proliferation
of
high-resolution
structural
functional
maps
the
brain.
Modern
neuroimaging
research
increasingly
depends
on
identifying
correspondences
between
topographies
these
maps;
however,
most
standard
methods
for
statistical
inference
fail
account
their
spatial
properties.
Recently,
multiple
been
developed
generate
null
distributions
that
preserve
autocorrelation
brain
yield
more
accurate
estimates.
Here,
we
comprehensively
assess
performance
ten
published
frameworks
in
analyses
data.
To
test
efficacy
situations
with
known
ground
truth,
first
apply
them
series
controlled
simulations
examine
impact
resolution
family-wise
error
rates.
Next,
use
each
framework
two
empirical
datasets,
investigating
when
testing
(1)
correspondence
(e.g.,
correlating
activation
maps)
(2)
distribution
feature
within
partition
quantifying
specificity
an
map
intrinsic
network).
Finally,
investigate
how
differences
implementation
models
may
performance.
In
agreement
previous
reports,
find
naive
do
not
consistently
elevated
false
positive
rates
unrealistically
liberal
While
spatially-constrained
yielded
realistic,
conservative
estimates,
even
suffer
from
inflated
variable
across
analyses.
Throughout
our
results,
observe
minimal
parcellation
model
Altogether,
findings
highlight
need
continued
development
statistically-rigorous
comparing
maps.
The
present
report
provides
harmonised
benchmarking
future
advancements.
Epilepsia,
Год журнала:
2022,
Номер
63(3), С. 537 - 550
Опубликована: Янв. 28, 2022
Epilepsy
is
a
disorder
of
brain
networks.
A
better
understanding
structural
and
dynamic
network
properties
may
improve
epilepsy
diagnosis,
treatment,
prognostics.
Hubs
are
regions
with
high
connectivity
to
other
parts
the
typically
situated
along
brain's
most
efficient
communication
pathways,
supporting
large-scale
wiring
many
higher
order
neural
functions.
The
visualization
analysis
hubs
offers
perspective
on
regional
global
organization
can
provide
novel
insights
into
disorders
epilepsy.
By
notably
interaction
between
various
networks,
be
implicated
in
seizure
spread
epilepsy-related
phenotypes.
In
this
review,
we
will
discuss
growing
literature
atypical
hub
common
syndromes,
both
related
neuroimaging
structure
function,
neurophysiological
data
from
magneto-
electroencephalographic
measures
dynamics.
With
studies
increasingly
exploring
clinical
utility
neuroscience
approaches,
highlight
potential
mapping
as
candidate
biomarker
cognitive
dysfunction
postsurgical
outcome.
We
conclude
review
discussion
current
limitations
outlook
for
future
research.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Ноя. 11, 2022
Abstract
Neuropsychiatric
disorders
are
increasingly
conceptualized
as
overlapping
spectra
sharing
multi-level
neurobiological
alterations.
However,
whether
transdiagnostic
cortical
alterations
covary
in
a
biologically
meaningful
way
is
currently
unknown.
Here,
we
studied
co-alteration
networks
across
six
neurodevelopmental
and
psychiatric
disorders,
reflecting
pathological
structural
covariance.
In
12,024
patients
18,969
controls
from
the
ENIGMA
consortium,
observed
that
patterns
followed
normative
connectome
organization
were
anchored
to
prefrontal
temporal
disease
epicenters.
Manifold
learning
revealed
frontal-to-temporal
sensory/limbic-to-occipitoparietal
gradients,
differentiating
shared
illness
effects
on
thickness
along
these
axes.
The
principal
gradient
aligned
with
covariance
established
transcriptomic
link
cortico-cerebello-thalamic
circuits.
Moreover,
gradients
segregated
functional
involved
basic
sensory,
attentional/perceptual,
domain-general
cognitive
processes,
distinguished
between
regional
cytoarchitectonic
profiles.
Together,
our
findings
indicate
occur
synchronized
fashion
multiple
levels
of
hierarchical
organization.
NeuroImage,
Год журнала:
2022,
Номер
263, С. 119612 - 119612
Опубликована: Сен. 6, 2022
Multimodal
magnetic
resonance
imaging
(MRI)
has
accelerated
human
neuroscience
by
fostering
the
analysis
of
brain
microstructure,
geometry,
function,
and
connectivity
across
multiple
scales
in
living
brains.
The
richness
complexity
multimodal
neuroimaging,
however,
demands
processing
methods
to
integrate
information
modalities
consolidate
findings
different
spatial
scales.
Here,
we
present
micapipe,
an
open
pipeline
for
MRI
datasets.
Based
on
BIDS-conform
input
data,
micapipe
can
generate
i)
structural
connectomes
derived
from
diffusion
tractography,
ii)
functional
resting-state
signal
correlations,
iii)
geodesic
distance
matrices
that
quantify
cortico-cortical
proximity,
iv)
microstructural
profile
covariance
assess
inter-regional
similarity
cortical
myelin
proxies.
above
be
automatically
generated
established
18
parcellations
(100-1000
parcels),
addition
subcortical
cerebellar
parcellations,
allowing
researchers
replicate
easily
Results
are
represented
three
surface
spaces
(native,
conte69,
fsaverage5),
outputs
BIDS-conform.
Processed
quality
controlled
at
individual
group
level.
was
tested
several
datasets
is
available
https://github.com/MICA-MNI/micapipe,
documented
https://micapipe.readthedocs.io/,
containerized
as
a
BIDS
App
http://bids-apps.neuroimaging.io/apps/.
We
hope
will
foster
robust
integrative
studies
morphology,
cand
connectivity.
Multimodal
neuroimaging
grants
a
powerful
window
into
the
structure
and
function
of
human
brain
at
multiple
scales.
Recent
methodological
conceptual
advances
have
enabled
investigations
interplay
between
large-scale
spatial
trends
(also
referred
to
as
gradients)
in
microstructure
connectivity,
offering
an
integrative
framework
study
multiscale
organization.
Here,
we
share
multimodal
MRI
dataset
for
Microstructure-Informed
Connectomics
(MICA-MICs)
acquired
50
healthy
adults
(23
women;
29.54
±
5.62
years)
who
underwent
high-resolution
T1-weighted
MRI,
myelin-sensitive
quantitative
T1
relaxometry,
diffusion-weighted
resting-state
functional
3
Tesla.
In
addition
raw
anonymized
data,
this
release
includes
brain-wide
connectomes
derived
from
(i)
imaging,
(ii)
diffusion
tractography,
(iii)
covariance
analysis,
(iv)
geodesic
cortical
distance,
gathered
across
parcellation
Alongside,
gradients
estimated
each
modality
scale.
Our
will
facilitate
future
research
examining
coupling
microstructure,
function.
MICA-MICs
is
available
on
Canadian
Open
Neuroscience
Platform
data
portal
(
https://portal.conp.ca
)
Science
Framework
https://osf.io/j532r/
).
Communications Biology,
Год журнала:
2023,
Номер
6(1)
Опубликована: Янв. 28, 2023
Abstract
A
central
question
in
neuroscience
is
how
consciousness
arises
from
the
dynamic
interplay
of
brain
structure
and
function.
Here
we
decompose
functional
MRI
signals
pathological
pharmacologically-induced
perturbations
into
distributed
patterns
structure-function
dependence
across
scales:
harmonic
modes
human
structural
connectome.
We
show
that
coupling
a
generalisable
indicator
under
bi-directional
neuromodulatory
control.
find
increased
scales
during
loss
consciousness,
whether
due
to
anaesthesia
or
injury,
capable
discriminating
between
behaviourally
indistinguishable
sub-categories
brain-injured
patients,
tracking
presence
covert
consciousness.
The
opposite
signature
characterises
altered
state
induced
by
LSD
ketamine,
reflecting
psychedelic-induced
decoupling
function
correlating
with
physiological
subjective
scores.
Overall,
connectome
decomposition
reveals
neuromodulation
network
architecture
jointly
shape
activation
scales.
Nature Neuroscience,
Год журнала:
2024,
Номер
27(6), С. 1075 - 1086
Опубликована: Апрель 22, 2024
Abstract
Human
brain
organization
involves
the
coordinated
expression
of
thousands
genes.
For
example,
first
principal
component
(C1)
cortical
transcription
identifies
a
hierarchy
from
sensorimotor
to
association
regions.
In
this
study,
optimized
processing
Allen
Brain
Atlas
revealed
two
new
components
gene
architecture,
C2
and
C3,
which
are
distinctively
enriched
for
neuronal,
metabolic
immune
processes,
specific
cell
types
cytoarchitectonics,
genetic
variants
associated
with
intelligence.
Using
additional
datasets
(PsychENCODE,
Cell
BrainSpan),
we
found
that
C1–C3
represent
generalizable
transcriptional
programs
within
cells
differentially
phased
during
fetal
postnatal
development.
Autism
spectrum
disorder
schizophrenia
were
specifically
C1/C2
respectively,
across
neuroimaging,
differential
genome-wide
studies.
Evidence
converged
especially
in
support
C3
as
normative
program
adolescent
development,
can
lead
atypical
supragranular
connectivity
people
at
high
risk
schizophrenia.