Acta Psychiatrica Scandinavica,
Год журнала:
2018,
Номер
137(6), С. 491 - 502
Опубликована: Фев. 18, 2018
Objective
Depression
is
associated
with
accelerated
aging
and
age‐related
diseases.
However,
mechanisms
underlying
this
relationship
remain
unclear.
The
aim
of
study
was
to
longitudinally
assess
the
link
between
depressive
symptoms,
brain
atrophy,
cortisol
levels.
Method
Participants
from
Betula
prospective
cohort
(mean
age
=
59
years,
SD
13.4
years)
underwent
clinical,
neuropsychological
3T
MRI
assessments
at
baseline
a
4‐year
follow‐up.
Cortisol
levels
were
measured
in
four
saliva
samples.
Cortical
hippocampal
atrophy
rates
estimated
compared
participants
without
symptoms
(
n
81)
correlated
49).
Results
Atrophy
left
superior
frontal
gyrus
right
lingual
developed
parallel
temporal
pole,
cortex,
supramarginal
cortex
after
onset
symptom.
Depression‐related
significantly
elevated
Elevated
also
widespread
prefrontal,
parietal,
lateral,
medial
atrophy.
Conclusion
Depressive
are
prefrontal
limbic
areas
brain.
Nature Communications,
Год журнала:
2019,
Номер
10(1)
Опубликована: Окт. 10, 2019
Prominent
theories
of
consciousness
emphasise
different
aspects
neurobiology,
such
as
the
integration
and
diversity
information
processing
within
brain.
Here,
we
combine
graph
theory
dynamic
functional
connectivity
to
compare
resting-state
MRI
data
from
awake
volunteers,
propofol-anaesthetised
patients
with
disorders
consciousness,
in
order
identify
consciousness-specific
patterns
brain
function.
We
demonstrate
that
cortical
networks
are
especially
affected
by
loss
during
temporal
states
high
integration,
exhibiting
reduced
compromised
informational
capacity,
whereas
thalamo-cortical
disconnections
emerge
higher
segregation.
Spatially,
posterior
regions
brain's
default
mode
network
exhibit
reductions
both
rest
unconsciousness.
These
results
show
human
relies
on
spatio-temporal
interactions
between
diversity,
whose
breakdown
may
represent
a
generalisable
biomarker
potential
relevance
for
clinical
practice.
NeuroImage,
Год журнала:
2020,
Номер
227, С. 117653 - 117653
Опубликована: Дек. 17, 2020
Investigating
changes
in
brain
function
induced
by
mind-altering
substances
such
as
LSD
is
a
powerful
method
for
interrogating
and
understanding
how
mind
interfaces
with
brain,
connecting
novel
psychological
phenomena
their
neurobiological
correlates.
known
to
increase
measures
of
complexity,
potentially
reflecting
correlate
the
especially
rich
phenomenological
content
psychedelic-induced
experiences.
Yet
although
subjective
stream
consciousness
constant
ebb
flow,
no
studies
date
have
investigated
influences
dynamics
functional
connectivity
human
brain.
Focusing
on
two
fundamental
network
properties
integration
segregation,
here
we
combined
graph
theory
dynamic
from
resting-state
MRI
examine
time-resolved
effects
networks
Our
main
finding
that
experience
are
non-uniform
time:
makes
globally
segregated
sub-states
more
complex,
weakens
relationship
between
anatomical
connectivity.
On
regional
level,
reduces
anterior
medial
prefrontal
cortex,
specifically
during
states
high
segregation.
Time-specific
were
correlated
different
aspects
experiences;
particular,
ego
dissolution
was
predicted
increased
small-world
organisation
state
global
integration.
These
results
reveal
nuanced,
temporally-specific
picture
altered
complexity
under
psychedelics
than
has
previously
been
reported.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Апрель 19, 2022
Abstract
A
growing
number
of
studies
have
used
stylized
network
models
communication
to
predict
brain
function
from
structure.
Most
focused
on
a
small
set
applied
globally.
Here,
we
compare
large
at
both
global
and
regional
levels.
We
find
that
globally
most
predictors
perform
poorly.
At
the
level,
performance
improves
but
heterogeneously,
in
terms
variance
explained
optimal
model.
Next,
expose
synergies
among
by
using
pairs
jointly
FC.
Finally,
assess
age-related
differences
coupling
across
human
lifespan.
decreases
magnitude
structure-function
with
age.
these
are
driven
reduced
sensorimotor
regions,
while
higher-order
cognitive
systems
preserve
local
Our
results
describe
patterns
cortex
how
this
may
change
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.
Network Neuroscience,
Год журнала:
2023,
Номер
7(3), С. 864 - 905
Опубликована: Янв. 1, 2023
Progress
in
scientific
disciplines
is
accompanied
by
standardization
of
terminology.
Network
neuroscience,
at
the
level
macroscale
organization
brain,
beginning
to
confront
challenges
associated
with
developing
a
taxonomy
its
fundamental
explanatory
constructs.
The
Workgroup
for
HArmonized
Taxonomy
NETworks
(WHATNET)
was
formed
2020
as
an
Organization
Human
Brain
Mapping
(OHBM)-endorsed
best
practices
committee
provide
recommendations
on
points
consensus,
identify
open
questions,
and
highlight
areas
ongoing
debate
service
moving
field
toward
standardized
reporting
network
neuroscience
results.
conducted
survey
catalog
current
large-scale
brain
nomenclature.
A
few
well-known
names
(e.g.,
default
mode
network)
dominated
responses
survey,
number
illuminating
disagreement
emerged.
We
summarize
results
initial
considerations
from
workgroup.
This
perspective
piece
includes
selective
review
this
enterprise,
including
(1)
scale,
resolution,
hierarchies;
(2)
interindividual
variability
networks;
(3)
dynamics
nonstationarity
(4)
consideration
affiliations
subcortical
structures;
(5)
multimodal
information.
close
minimal
guidelines
cognitive
communities
adopt.
NeuroImage,
Год журнала:
2023,
Номер
269, С. 119898 - 119898
Опубликована: Янв. 24, 2023
Generative
adversarial
networks
(GANs)
are
one
powerful
type
of
deep
learning
models
that
have
been
successfully
utilized
in
numerous
fields.
They
belong
to
a
broader
family
called
generative
methods,
which
generate
new
data
with
probabilistic
model
by
sample
distribution
from
real
examples.
In
the
clinical
context,
GANs
shown
enhanced
capabilities
capturing
spatially
complex,
nonlinear,
and
potentially
subtle
disease
effects
compared
traditional
methods.
This
review
appraises
existing
literature
on
applications
imaging
studies
various
neurological
conditions,
including
Alzheimer's
disease,
brain
tumors,
aging,
multiple
sclerosis.
We
provide
an
intuitive
explanation
GAN
methods
for
each
application
further
discuss
main
challenges,
open
questions,
promising
future
directions
leveraging
neuroimaging.
aim
bridge
gap
between
advanced
neurology
research
highlighting
how
can
be
leveraged
support
decision
making
contribute
better
understanding
structural
functional
patterns
diseases.
Journal of Cerebral Blood Flow & Metabolism,
Год журнала:
2018,
Номер
39(2), С. 189 - 209
Опубликована: Окт. 30, 2018
The
mammalian
brain
is
composed
of
densely
connected
and
interacting
regions,
which
form
structural
functional
networks.
An
improved
understanding
the
structure–function
relation
crucial
to
understand
underpinnings
function
plasticity
after
injury.
It
currently
unclear
how
connectivity
strength
relates
strength.
We
obtained
an
overview
recent
papers
that
report
on
correspondences
between
quantitative
measures
in
brain.
included
network
studies
was
measured
with
resting-state
fMRI,
either
diffusion-weighted
MRI
or
neuronal
tract
tracers.
Twenty-seven
28
showed
a
positive
relationship.
Large
inter-study
variations
were
found
comparing
diffusion-based
(correlation
coefficient
(r)
ranges:
0.18–0.82)
tracer-based
(r
=
0.24–0.74).
Two
datasets
demonstrated
lower
correlations
0.22
r
0.30)
than
0.49
0.65).
robust
relationship
supports
hypothesis
provides
hardware
from
emerges.
However,
methodological
differences
complicate
comparison
across
studies,
emphasize
need
for
validation
standardization
studies.
Translational Psychiatry,
Год журнала:
2019,
Номер
9(1)
Опубликована: Апрель 12, 2019
Abstract
Neuroimaging
studies
have
shown
topological
disruptions
of
both
functional
and
structural
whole-brain
networks
in
major
depressive
disorder
(MDD).
This
study
examined
common
specific
alterations
between
these
two
types
whether
the
were
differentially
involved
hemispheres.
Multimodal
MRI
data
collected
from
35
MDD
patients
healthy
controls,
whose
hemispheric
constructed,
characterized,
compared.
We
found
that
brain
profoundly
altered
at
multiple
levels,
while
largely
intact
with
MDD.
Specifically,
included
decreases
intra-hemispheric
(left
right)
inter-hemispheric
(heterotopic)
connectivity;
local,
global
normalized
efficiency
for
networks;
increases
local
left
integration
communication
dorsolateral
superior
frontal
gyrus,
anterior
cingulate
gyrus
hippocampus.
Regarding
asymmetry,
similar
patterns
observed
networks:
right
hemisphere
was
over-connected
more
efficient
than
globally;
occipital
partial
regions
exhibited
leftward
temporal
sites
showed
rightward
lateralization
regard
to
regional
connectivity
profiles
locally.
Finally,
functional–structural
coupling
connections
significantly
decreased
correlated
disease
severity
patients.
Overall,
this
demonstrates
modality-
hemisphere-dependent
invariant
network
MDD,
which
are
helpful
understanding
elaborate
characteristic
integrative
dysfunction
disease.