Bulletin of Integrative Psychiatry,
Год журнала:
2023,
Номер
99(4), С. 77 - 88
Опубликована: Дек. 15, 2023
Background:
Attention-Deficit/Hyperactivity
Disorder
(ADHD)
in
females
is
often
underrecognized
due
to
the
predominance
of
inattentive
symptoms
and
societal
expectations,
leading
underdiagnosis
misdiagnosis.This
narrative
review
aims
synthesize
current
understanding
ADHD
across
various
life
stages-children,
adolescents,
adults-and
its
implications
for
clinical
practice
policy.Methods:
A
comprehensive
literature
was
conducted,
focusing
on
peer-reviewed
studies
published
from
2010
2023.Databases
including
PubMed,
PsycINFO,
Google
Scholar
were
searched
using
keywords
related
ADHD,
females,
diagnosis,
treatment,
long-term
outcomes.The
included
female
children,
adults,
encompassed
both
qualitative
quantitative
research.Results:
The
found
that
with
frequently
exhibit
predominantly
symptoms,
lower
diagnosis
rates
compared
males.In
childhood,
this
results
academic
social
difficulties.During
adolescence,
increased
risks
mental
health
disorders
such
as
anxiety
depression
noted.Adult
women
faced
ongoing
challenges
occupational
settings
personal
relationships.The
also
indicated
a
lack
gender-specific
treatment
approaches
need
more
management
strategies.Notably,
identified
scarcity
longitudinal
specifically
ADHD.78/Bulletin
Integrative
Psychiatry
New
Series
December
2023
Year
XXIX
No.
4
(99)
Conclusions:
findings
highlight
necessity
gender-sensitive
approach
diagnosing
treating
females.There
critical
healthcare
professionals
recognize
unique
presentations
policies
support
genderspecific
research
interventions.Future
should
focus
longterm
outcomes
developing
tailored
strategies.
Proceedings of the IEEE,
Год журнала:
2019,
Номер
108(1), С. 125 - 162
Опубликована: Окт. 29, 2019
Brain
imaging
genomics
is
an
emerging
data
science
field,
where
integrated
analysis
of
brain
and
data,
often
combined
with
other
biomarker,
clinical
environmental
performed
to
gain
new
insights
into
the
phenotypic,
genetic
molecular
characteristics
as
well
their
impact
on
normal
disordered
function
behavior.
It
has
enormous
potential
contribute
significantly
biomedical
discoveries
in
science.
Given
increasingly
important
role
statistical
machine
learning
biomedicine
rapidly
growing
literature
genomics,
we
provide
up-to-date
comprehensive
review
methods
for
a
practical
discussion
method
selection
various
applications.
NeuroImage Clinical,
Год журнала:
2021,
Номер
30, С. 102623 - 102623
Опубликована: Янв. 1, 2021
Functional
neurological
disorder
(FND)
was
of
great
interest
to
early
clinical
neuroscience
leaders.
During
the
20th
century,
neurology
and
psychiatry
grew
apart
–
leaving
FND
a
borderland
condition.
Fortunately,
renaissance
has
occurred
in
last
two
decades,
fostered
by
increased
recognition
that
is
prevalent
diagnosed
using
"rule-in"
examination
signs.
The
parallel
use
scientific
tools
bridge
brain
structure
-
function
relationships
helped
refine
an
integrated
biopsychosocial
framework
through
which
conceptualize
FND.
In
particular,
growing
number
quality
neuroimaging
studies
variety
methodologies
have
shed
light
on
emerging
pathophysiology
This
renewed
with
enhanced
interdisciplinary
collaborations,
as
illustrated
new
care
models
combining
psychological
physical
therapies
creation
multidisciplinary
society
supporting
knowledge
dissemination
field.
Within
this
context,
article
summarizes
output
first
International
Neuroimaging
Workgroup
meeting,
held
virtually,
June
17th,
2020
appraise
state
research
field
catalyze
large-scale
collaborations.
We
briefly
summarize
neural
circuit
FND,
then
detail
approaches
used
date
within
core
content
areas:
cohort
characterization;
control
group
considerations;
task-based
functional
neuroimaging;
resting-state
networks;
structural
biomarkers
symptom
severity
risk
illness;
predictors
treatment
response
prognosis.
Lastly,
we
outline
neuroimaging-focused
agenda
elucidate
aid
development
novel
biologically
psychologically-informed
treatments.
Nature Methods,
Год журнала:
2024,
Номер
21(5), С. 809 - 813
Опубликована: Апрель 11, 2024
Neuroscience
is
advancing
standardization
and
tool
development
to
support
rigor
transparency.
Consequently,
data
pipeline
complexity
has
increased,
hindering
FAIR
(findable,
accessible,
interoperable
reusable)
access.
brainlife.io
was
developed
democratize
neuroimaging
research.
The
platform
provides
standardization,
management,
visualization
processing
automatically
tracks
the
provenance
history
of
thousands
objects.
Here,
described
evaluated
for
validity,
reliability,
reproducibility,
replicability
scientific
utility
using
four
modalities
3,200
participants.
Human Brain Mapping,
Год журнала:
2019,
Номер
40(17), С. 5142 - 5154
Опубликована: Авг. 4, 2019
Over
the
past
decades,
neuroimaging
has
become
widely
used
to
investigate
structural
and
functional
brain
abnormality
in
neuropsychiatric
disorders.
The
results
of
individual
studies,
however,
are
frequently
inconsistent
due
small
heterogeneous
samples,
analytical
flexibility,
publication
bias
toward
positive
findings.
To
consolidate
emergent
findings
clinically
useful
insight,
meta-analyses
have
been
developed
integrate
studies
identify
areas
that
consistently
involved
pathophysiology
particular
However,
it
should
be
considered
could
also
divergent
heterogeneity
search
strategy,
selection
criteria,
imaging
modalities,
behavioral
tasks,
number
experiments,
data
organization
methods,
statistical
analysis
with
different
multiple
comparison
thresholds.
Following
an
introduction
problem
concepts
quantitative
summaries
findings,
we
propose
practical
recommendations
for
clinicians
researchers
conducting
transparent
methodologically
sound
meta-analyses.
This
help
convergent
regional
Human Brain Mapping,
Год журнала:
2020,
Номер
43(1), С. 341 - 351
Опубликована: Март 21, 2020
Alterations
in
regional
subcortical
brain
volumes
have
been
investigated
as
part
of
the
efforts
an
international
consortium,
ENIGMA,
to
identify
reliable
neural
correlates
major
depressive
disorder
(MDD).
Given
that
structures
are
comprised
distinct
subfields,
we
sought
build
significantly
from
prior
work
by
precisely
mapping
localized
MDD-related
differences
regions
using
shape
analysis.
In
this
meta-analysis
ENIGMA-MDD
working
group,
compared
1,781
patients
with
MDD
and
2,953
healthy
controls
(CTL)
on
individual
measures
metrics
(thickness
surface
area)
seven
bilateral
structures:
nucleus
accumbens,
amygdala,
caudate,
hippocampus,
pallidum,
putamen,
thalamus.
Harmonized
data
processing
statistical
analyses
were
conducted
locally
at
each
site,
findings
aggregated
meta-analysis.
Relative
CTL,
adolescent-onset
(≤
21
years)
had
lower
thickness
area
subiculum,
cornu
ammonis
(CA)
1
hippocampus
basolateral
amygdala
(Cohen's
d
=
-0.164
-0.180).
first-episode
MDD,
recurrent
CA1
-0.173
-0.184).
Our
results
suggest
previously
reported
MDD-associated
volumetric
may
be
specific
subfields
these
shown
sensitive
effects
stress,
important
implications
for
treatments
based
targets
key
clinical
features.
eNeuro,
Год журнала:
2022,
Номер
9(2), С. ENEURO.0316 - 21.2022
Опубликована: Фев. 25, 2022
Understanding
the
human
brain
is
a
"Grand
Challenge"
for
21st
century
research.
Computational
approaches
enable
large
and
complex
datasets
to
be
addressed
efficiently,
supported
by
artificial
neural
networks,
modeling
simulation.
Dynamic
generative
multiscale
models,
which
investigation
of
causation
across
scales
are
guided
principles
theories
function,
instrumental
linking
structure
function.
An
example
resource
enabling
such
an
integrated
approach
neuroscientific
discovery
BigBrain,
spatially
anchors
tissue
models
data
different
ensures
that
data,
making
bridge
both
basic
neuroscience
medicine.
Research
at
intersection
neuroscience,
computing
robotics
has
potential
advance
neuro-inspired
technologies
taking
advantage
growing
body
insights
into
perception,
plasticity
learning.
To
render
tools
methods,
theories,
concepts
interoperable,
Human
Brain
Project
(HBP)
launched
EBRAINS,
digital
research
infrastructure,
brings
together
transdisciplinary
community
researchers
united
quest
understand
brain,
with
fascinating
perspectives
societal
benefits.
NeuroImage,
Год журнала:
2020,
Номер
218, С. 116968 - 116968
Опубликована: Май 22, 2020
Neurobiology
underlying
inter-regional
variations
-
across
the
human
cerebral
cortex
in
measures
derived
with
multi-modal
magnetic
resonance
imaging
(MRI)
is
poorly
understood.
Here,
we
characterize
a
large
number
of
such
measures,
including
T1
and
T2
relaxation
times,
myelin
water
fraction
(MWF),
T1w/T2w
ratio,
mean
diffusivity
(MD),
fractional
anisotropy
(FA),
magnetization
transfer
ratio
(MTR)
cortical
thickness.
We
then
employ
virtual-histology
approach
relate
these
profiles
to
those
cell-specific
gene
expression.
Virtual
histology
revealed
that
most
MRI-derived
T1,
time,
MWF,
MTR,
FA
thickness,
are
associated
expression
genes
specific
CA1
pyramidal
cells;
enriched
biological
processes
related
dendritic
arborisation.
In
addition,
MWF
oligodendrocyte-specific
gene-expression
profiles,
supporting
their
use
as
sensitive
intra-cortical
myelin.
contributes
more
variance
than
oligodendrocyte
profile,
suggesting
greater
sensitivity
These
MRI
associations
may
help
provide
framework
for
determining
which
sequences
acquire
studies
neurobiological
hypotheses.
NeuroImage Clinical,
Год журнала:
2021,
Номер
31, С. 102765 - 102765
Опубликована: Янв. 1, 2021
Artificial
intelligence
has
recently
gained
popularity
across
different
medical
fields
to
aid
in
the
detection
of
diseases
based
on
pathology
samples
or
imaging
findings.
Brain
magnetic
resonance
(MRI)
is
a
key
assessment
tool
for
patients
with
temporal
lobe
epilepsy
(TLE).
The
role
machine
learning
and
artificial
increase
brain
abnormalities
TLE
remains
inconclusive.
We
used
support
vector
(SV)
deep
(DL)
models
region
interest
(ROI-based)
structural
(n
=
336)
diffusion
863)
MRI
data
from
("lesional")
without
("non-lesional")
radiographic
features
suggestive
underlying
hippocampal
sclerosis
multinational
(multi-center)
ENIGMA-Epilepsy
consortium.
Our
showed
that
identify
performed
better
similar
(68-75%)
compared
lateralize
side
(56-73%,
except
structural-based)
opposite
pattern
seen
(67-75%
diagnose
vs.
83%
lateralize).
In
other
aspects,
diffusion-based
classification
accuracies.
were
more
accurate
(68-76%)
than
stratified
non-lesional
(53-62%).
Overall,
SV
DL
similarly
several
instances
which
mildly
outperformed
DL.
discuss
relative
performance
these
ROI-level
implications
future
applications
care.
Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 13, 2022
Abstract
Neurotransmitter
receptors
support
the
propagation
of
signals
in
human
brain.
How
receptor
systems
are
situated
within
macroscale
neuroanatomy
and
how
they
shape
emergent
function
remains
poorly
understood,
there
exists
no
comprehensive
atlas
receptors.
Here
we
collate
positron
emission
tomography
scans
>1,200
healthy
individuals
to
construct
a
whole-brain
3-D
normative
18
transporters
across
9
different
neurotransmitter
systems.
We
find
that
profiles
align
with
structural
connectivity
mediate
function,
including
neurophysiological
oscillatory
dynamics
resting
state
hemodynamic
functional
connectivity.
Using
Neurosynth
cognitive
atlas,
uncover
topographic
gradient
overlapping
distributions
separates
extrinsic
intrinsic
psychological
processes.
Finally,
both
expected
novel
associations
between
cortical
thinning
patterns
13
disorders.
replicate
all
findings
an
independently
collected
autoradiography
dataset.
This
work
demonstrates
chemoarchitecture
shapes
brain
structure
providing
new
direction
for
studying
multi-scale
organization.