Despite
decades
of
research,
we
lack
objective
diagnostic
or
prognostic
biomarkers
mental
health
problems.
A
key
reason
for
this
limited
progress
is
a
reliance
on
the
traditional
case-control
paradigm,
which
assumes
that
each
disorder
has
single
cause
can
be
uncovered
by
comparing
average
phenotypic
values
cases
and
control
samples.
Here,
discuss
problematic
assumptions
paradigm
based
highlight
recent
efforts
seek
to
characterize,
rather
than
minimize,
inherent
clinical
biological
variability
characterizes
psychiatric
populations.
We
argue
embracing
such
will
necessary
understand
pathophysiological
mechanisms
develop
more
targeted
effective
treatments.
Nature Neuroscience,
Journal Year:
2023,
Volume and Issue:
26(8), P. 1461 - 1471
Published: July 17, 2023
Abstract
Structural
similarity
is
a
growing
focus
for
magnetic
resonance
imaging
(MRI)
of
connectomes.
Here
we
propose
Morphometric
INverse
Divergence
(MIND),
new
method
to
estimate
within-subject
between
cortical
areas
based
on
the
divergence
their
multivariate
distributions
multiple
MRI
features.
Compared
prior
approach
morphometric
networks
(MSNs)
n
>
11,000
scans
spanning
three
human
datasets
and
one
macaque
dataset,
MIND
were
more
reliable,
consistent
with
cytoarchitectonics
symmetry
correlated
tract-tracing
measures
axonal
connectivity.
derived
from
T1-weighted
sensitive
age-related
changes
than
MSNs
or
by
tractography
diffusion-weighted
MRI.
Gene
co-expression
was
strongly
coupled
tractography.
network
phenotypes
also
heritable,
especially
edges
structurally
differentiated
areas.
analysis
provides
biologically
validated
lens
connectomics
using
readily
available
data.
NeuroImage,
Journal Year:
2024,
Volume and Issue:
289, P. 120551 - 120551
Published: Feb. 20, 2024
It
has
been
revealed
that
abnormal
voxel-mirrored
homotopic
connectivity
(VMHC)
is
present
in
patients
with
schizophrenia,
yet
there
are
inconsistencies
the
relevant
findings.
Moreover,
little
known
about
their
association
brain
gene
expression
profiles.
In
this
study,
transcription-neuroimaging
analyses
using
data
from
Allen
Human
Brain
Atlas
and
case-control
VMHC
differences
both
discovery
(meta-analysis,
including
9
studies
a
total
of
386
357
controls)
replication
(separate
group-level
comparisons
within
two
datasets,
258
287
phases
were
performed
to
identify
genes
associated
alterations.
Enrichment
conducted
characterize
biological
functions
specific
identified
genes,
Neurosynth
decoding
analysis
was
examine
correlation
between
cognitive-related
processes
alterations
schizophrenia.
phases,
schizophrenia
exhibited
consistent
changes
compared
controls,
which
correlated
series
processes;
meta-regression
illness
duration
negatively
abnormalities
cerebellum
postcentral/precentral
gyrus.
The
patterns
stably
1287
enriched
for
fundamental
like
regulation
cell
communication,
nervous
system
development,
communication.
addition,
these
overexpressed
astrocytes
immune
cells,
extensive
cortical
regions
wide
developmental
time
windows.
findings
may
contribute
more
comprehensive
understanding
molecular
mechanisms
underlying
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(2), P. 113691 - 113691
Published: Jan. 21, 2024
Amyloid-β
(Aβ)
and
tau
proteins
accumulate
within
distinct
neuronal
systems
in
Alzheimer's
disease
(AD).
Although
it
is
not
clear
why
certain
brain
regions
are
more
vulnerable
to
Aβ
pathologies
than
others,
gene
expression
may
play
a
role.
We
study
the
association
between
brain-wide
profiles
regional
vulnerability
(gene-to-Aβ
associations)
(gene-to-tau
by
leveraging
two
large
independent
AD
cohorts.
identify
susceptibility
genes
modules
co-expression
network
with
specifically
related
AD.
In
addition,
we
biochemical
pathways
associated
gene-to-Aβ
gene-to-tau
associations.
These
findings
explain
discordance
pathologies.
Finally,
propose
an
analytic
framework,
linking
identified
gene-to-pathology
associations
cognitive
dysfunction
at
individual
level,
suggesting
potential
clinical
implication
of
Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: June 13, 2024
Major
depressive
disorder
(MDD)
is
a
recurrent
episodic
mood
that
represents
the
third
leading
cause
of
disability
worldwide.
In
MDD,
several
factors
can
simultaneously
contribute
to
its
development,
which
complicates
diagnosis.
According
practical
guidelines,
antidepressants
are
first-line
treatment
for
moderate
severe
major
episodes.
Traditional
strategies
often
follow
one-size-fits-all
approach,
resulting
in
suboptimal
outcomes
many
patients
who
fail
experience
response
or
recovery
and
develop
so-called
“therapy-resistant
depression”.
The
high
biological
clinical
inter-variability
within
lack
robust
biomarkers
hinder
finding
specific
therapeutic
targets,
contributing
failure
rates.
this
frame,
precision
medicine,
paradigm
tailors
medical
interventions
individual
characteristics,
would
help
allocate
most
adequate
effective
each
patient
while
minimizing
side
effects.
particular,
multi-omic
studies
may
unveil
intricate
interplays
between
genetic
predispositions
exposure
environmental
through
study
epigenomics,
transcriptomics,
proteomics,
metabolomics,
gut
microbiomics,
immunomics.
integration
flow
information
into
molecular
pathways
produce
better
than
current
psychopharmacological
targets
singular
mainly
related
monoamine
systems,
disregarding
complex
network
our
organism.
concept
system
biomedicine
involves
analysis
enormous
datasets
generated
with
different
technologies,
creating
“patient
fingerprint”,
defines
underlying
mechanisms
every
patient.
This
review,
centered
on
explores
approaches
as
tools
prediction
MDD
at
single-patient
level.
It
investigates
how
combining
existing
technologies
used
diagnostic,
stratification,
prognostic,
treatment-response
discovery
artificial
intelligence
improve
assessment
MDD.
Brain,
Journal Year:
2023,
Volume and Issue:
146(8), P. 3301 - 3318
Published: Feb. 24, 2023
Isolated
rapid
eye
movement
sleep
behaviour
disorder
(iRBD)
is
a
characterized
by
the
loss
of
muscle
atonia
and
appearance
abnormal
movements
vocalizations
during
sleep.
It
strong
marker
incipient
synucleinopathy
such
as
dementia
with
Lewy
bodies
Parkinson's
disease.
Patients
iRBD
already
show
brain
changes
that
are
reminiscent
manifest
synucleinopathies
including
atrophy.
However,
mechanisms
underlying
development
this
atrophy
remain
poorly
understood.
In
study,
we
performed
cutting-edge
imaging
transcriptomics
comprehensive
spatial
mapping
analyses
in
multicentric
cohort
171
polysomnography-confirmed
patients
[67.7
±
6.6
(49-87)
years;
83%
men]
238
healthy
controls
[66.6
7.9
(41-88)
77%
T1-weighted
MRI
to
investigate
gene
expression
connectivity
patterns
associated
cortical
thickness
surface
area
iRBD.
Partial
least
squares
regression
was
identify
Gene
set
enrichment
analysis
virtual
histology
were
then
done
assess
biological
processes,
cellular
components,
human
disease
terms,
cell
types
enriched
these
patterns.
We
used
structural
functional
neighbourhood
whether
constrained
brain's
connectome.
Moreover,
specific
neurotransmitter
systems,
networks,
cytoarchitectonic
classes,
cognitive
systems
All
comparisons
tested
against
null
models
preserved
autocorrelation
between
regions
compared
Alzheimer's
specificity
findings
synucleinopathies.
found
genes
involved
mitochondrial
function
macroautophagy
strongest
contributors
thinning
occurring
demonstrated
connectome
it
mapped
onto
networks
motor
planning
functions.
contrast
thickness,
related
distinct
genes,
namely
inflammatory
response,
different
The
all
from
those
observed
summary,
study
demonstrates
networks.
Molecular Psychiatry,
Journal Year:
2023,
Volume and Issue:
28(7), P. 2839 - 2847
Published: April 25, 2023
Abstract
Epigenetic
mechanisms,
such
as
DNA
methylation
(DNAm),
have
gained
increasing
attention
potential
biomarkers
and
mechanisms
underlying
risk
for
neurodevelopmental,
psychiatric
other
brain-based
disorders.
Yet,
surprisingly
little
is
known
about
the
extent
to
which
DNAm
linked
individual
differences
in
brain
itself,
how
these
associations
may
unfold
across
development
–
a
time
of
life
when
many
disorders
emerge.
Here,
we
systematically
review
evidence
from
nascent
field
Neuroimaging
Epigenetics,
combining
structural
or
functional
neuroimaging
measures
with
DNAm,
developmental
period
(birth
adolescence)
represented
studies.
We
identified
111
articles
published
between
2011–2021,
out
only
minority
(21%)
included
samples
under
18
years
age.
Most
studies
were
cross-sectional
(85%),
employed
candidate-gene
approach
(67%),
examined
DNAm-brain
context
health
behavioral
outcomes
(75%).
Nearly
half
incorporated
genetic
data,
fourth
investigated
environmental
influences.
Overall,
support
link
peripheral
imaging
measures,
but
there
consistency
specific
findings
it
remains
unclear
whether
markers
present
cause,
correlate
consequence
alterations.
large
heterogeneity
sample
characteristics,
tissue
outcome
well
methods
used.
Sample
sizes
generally
low
moderate
(median
n
all
=
98,
80),
attempts
at
replication
meta-analysis
rare.
Based
on
strengths
weaknesses
existing
studies,
propose
three
recommendations
advance
Epigenetics.
advocate
for:
(1)
greater
focus
developmentally
oriented
research
(i.e.
pre-birth
adolescence);
(2)
analysis
large,
prospective,
pediatric
cohorts
repeated
assess
directionality;
(3)
collaborative,
interdisciplinary
science
identify
robust
signals,
triangulate
enhance
translational
potential.
Deep
brain
stimulation
targeting
the
posterior
hypothalamus
(pHyp-DBS)
is
being
investigated
as
a
treatment
for
refractory
aggressive
behavior,
but
its
mechanisms
of
action
remain
elusive.
We
conducted
an
integrated
imaging
analysis
large
multi-centre
dataset,
incorporating
volume
activated
tissue
modeling,
probabilistic
mapping,
normative
connectomics,
and
atlas-derived
transcriptomics.
Ninety-one
percent
patients
responded
positively
to
treatment,
with
more
striking
improvement
recorded
in
pediatric
population.
Probabilistic
mapping
revealed
optimized
surgical
target
within
posterior-inferior-lateral
region
hypothalamic
area.
Normative
connectomic
analyses
identified
fiber
tracts
functionally
connected
areas
associated
sensorimotor
function,
emotional
regulation,
monoamine
production.
Functional
connectivity
between
target,
periaqueductal
gray
key
limbic
-
together
patient
age
were
highly
predictive
outcome.
Transcriptomic
showed
that
genes
involved
neuronal
communication,
plasticity
neuroinflammation
might
underlie
this
functional
network.