Journal of Child Psychology and Psychiatry,
Journal Year:
2022,
Volume and Issue:
64(4), P. 506 - 532
Published: Oct. 11, 2022
The
science
of
attention‐deficit/hyperactivity
disorder
(ADHD)
is
motivated
by
a
translational
goal
–
the
discovery
and
exploitation
knowledge
about
nature
ADHD
to
benefit
those
individuals
whose
lives
it
affects.
Over
past
fifty
years,
scientific
research
has
made
enormous
strides
in
characterizing
condition
understanding
its
correlates
causes.
However,
translation
these
insights
into
clinical
benefits
been
limited.
In
this
review,
we
provide
selective
focused
survey
field
ADHD,
providing
our
personal
perspectives
on
what
constitutes
consensus,
important
new
leads
be
highlighted,
key
outstanding
questions
addressed
going
forward.
We
cover
two
broad
domains
characterization
and,
risk
factors,
causal
processes
neuro‐biological
pathways
.
Part
one
focuses
developmental
course
co‐occurring
characteristics
conditions,
functional
impact
living
with
including
impairment,
quality
life,
stigma.
part
two,
explore
genetic
environmental
influences
putative
mediating
brain
processes.
final
section,
reflect
future
construct
light
cross‐cutting
themes
recent
conceptual
reformulations
that
cast
traits
as
broader
spectrum
neurodivergence.
Neuropsychopharmacology,
Journal Year:
2021,
Volume and Issue:
47(1), P. 72 - 89
Published: Aug. 18, 2021
Concepts
of
cognitive
control
(CC)
and
executive
function
(EF)
are
defined
in
terms
their
relationships
with
goal-directed
behavior
versus
habits
controlled
automatic
processing,
related
to
the
functions
prefrontal
cortex
(PFC)
regions
networks.
A
psychometric
approach
shows
unity
diversity
CC
constructs,
3
components
most
commonly
studied
constructs:
general
or
common
specific
mental
set
shifting
working
memory
updating.
These
constructs
considered
against
cellular
systems
neurobiology
PFC
what
is
known
its
functional
neuroanatomical
network
organization
based
on
lesioning,
neurochemical,
neuroimaging
approaches
across
species.
also
context
motivation,
as
"cool"
"hot"
forms.
Its
Common
component
shown
be
distinct
from
intelligence
(g)
closely
response
inhibition.
Impairments
possible
causes
psychiatric
symptoms
consequences
disorders.
The
factor
psychopathology
(p)
dimensional
such
impulsivity
large
scale
developmental
adult
populations
considered,
well
implications
for
genetic
studies
RDoC
classification.
Translational Psychiatry,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: March 20, 2020
Abstract
This
review
summarizes
the
last
decade
of
work
by
ENIGMA
(
E
nhancing
N
euro
I
maging
G
enetics
through
M
eta
A
nalysis)
Consortium,
a
global
alliance
over
1400
scientists
across
43
countries,
studying
human
brain
in
health
and
disease.
Building
on
large-scale
genetic
studies
that
discovered
first
robustly
replicated
loci
associated
with
metrics,
has
diversified
into
50
working
groups
(WGs),
pooling
worldwide
data
expertise
to
answer
fundamental
questions
neuroscience,
psychiatry,
neurology,
genetics.
Most
WGs
focus
specific
psychiatric
neurological
conditions,
other
study
normal
variation
due
sex
gender
differences,
or
development
aging;
still
develop
methodological
pipelines
tools
facilitate
harmonized
analyses
“big
data”
(i.e.,
epigenetic
data,
multimodal
MRI,
electroencephalography
data).
These
international
efforts
have
yielded
largest
neuroimaging
date
schizophrenia,
bipolar
disorder,
major
depressive
post-traumatic
stress
substance
use
disorders,
obsessive-compulsive
attention-deficit/hyperactivity
autism
spectrum
epilepsy,
22q11.2
deletion
syndrome.
More
recent
formed
anxiety
suicidal
thoughts
behavior,
sleep
insomnia,
eating
irritability,
injury,
antisocial
personality
conduct
dissociative
identity
disorder.
Here,
we
summarize
ENIGMA’s
activities
ongoing
projects,
describe
successes
challenges
encountered
along
way.
We
highlight
advantages
collaborative
coordinated
for
testing
reproducibility
robustness
findings,
offering
opportunity
identify
systems
involved
clinical
syndromes
diverse
samples
genetic,
environmental,
demographic,
cognitive,
psychosocial
factors.
Molecular Psychiatry,
Journal Year:
2020,
Volume and Issue:
26(9), P. 5124 - 5139
Published: May 18, 2020
Abstract
Major
depressive
disorder
(MDD)
is
associated
with
an
increased
risk
of
brain
atrophy,
aging-related
diseases,
and
mortality.
We
examined
potential
advanced
aging
in
adult
MDD
patients,
whether
this
process
clinical
characteristics
a
large
multicenter
international
dataset.
performed
mega-analysis
by
pooling
measures
derived
from
T1-weighted
MRI
scans
19
samples
worldwide.
Healthy
was
estimated
predicting
chronological
age
(18–75
years)
7
subcortical
volumes,
34
cortical
thickness
surface
area,
lateral
ventricles
total
intracranial
volume
separately
952
male
1236
female
controls
the
ENIGMA
working
group.
The
learned
model
coefficients
were
applied
to
927
986
depressed
males,
1199
1689
females
obtain
independent
unbiased
brain-based
predictions.
difference
between
predicted
“brain
age”
calculated
indicate
brain-predicted
(brain-PAD).
On
average,
patients
showed
higher
brain-PAD
+1.08
(SE
0.22)
years
(Cohen’s
d
=
0.14,
95%
CI:
0.08–0.20)
compared
controls.
However,
did
not
seem
be
driven
specific
(recurrent
status,
remission
antidepressant
medication
use,
onset,
or
symptom
severity).
This
highly
powered
collaborative
effort
subtle
patterns
age-related
structural
abnormalities
MDD.
Substantial
within-group
variance
overlap
groups
observed.
Longitudinal
studies
somatic
health
outcomes
are
needed
further
assess
value
these
estimates.
Human Brain Mapping,
Journal Year:
2021,
Volume and Issue:
43(1), P. 431 - 451
Published: Feb. 17, 2021
Delineating
the
association
of
age
and
cortical
thickness
in
healthy
individuals
is
critical
given
with
cognition
behavior.
Previous
research
has
shown
that
robust
estimates
between
brain
morphometry
require
large-scale
studies.
In
response,
we
used
cross-sectional
data
from
17,075
aged
3-90
years
Enhancing
Neuroimaging
Genetics
through
Meta-Analysis
(ENIGMA)
Consortium
to
infer
age-related
changes
thickness.
We
fractional
polynomial
(FP)
regression
quantify
thickness,
computed
normalized
growth
centiles
using
parametric
Lambda,
Mu,
Sigma
method.
Interindividual
variability
was
estimated
meta-analysis
one-way
analysis
variance.
For
most
regions,
their
highest
value
observed
childhood.
Age
showed
a
negative
association;
slope
steeper
up
third
decade
life
more
gradual
thereafter;
notable
exceptions
this
general
pattern
were
entorhinal,
temporopolar,
anterior
cingulate
cortices.
largest
temporal
frontal
regions
across
lifespan.
its
FP
combinations
explained
59%
variance
These
results
may
form
basis
further
investigation
on
normative
deviation
significance
for
behavioral
cognitive
outcomes.
Neuropsychopharmacology,
Journal Year:
2021,
Volume and Issue:
47(1), P. 41 - 57
Published: Oct. 13, 2021
Abstract
During
evolution,
the
cerebral
cortex
advances
by
increasing
in
surface
and
introduction
of
new
cytoarchitectonic
areas
among
which
prefrontal
(PFC)
is
considered
to
be
substrate
highest
cognitive
functions.
Although
neurons
PFC
are
generated
before
birth,
differentiation
its
development
synaptic
connections
humans
extend
3rd
decade
life.
this
period,
synapses
as
well
neurotransmitter
systems
including
their
receptors
transporters,
initially
overproduced
followed
selective
elimination.
Advanced
methods
applied
human
animal
models,
enable
investigation
cellular
mechanisms
role
specific
genes,
non-coding
regulatory
elements
signaling
molecules
control
neuronal
production
phenotypic
fate,
migration
establish
layering
PFC.
Likewise,
various
genetic
approaches
combination
with
functional
assays
immunohistochemical
imaging
reveal
roles
during
maturation
Disruption,
or
even
a
slight
slowing
rate
production,
synaptogenesis
environmental
factors,
can
induce
gross
subtle
changes
that
eventually
lead
impairment.
An
understanding
evolution
provide
insight
into
pathogenesis
treatment
congenital
neuropsychiatric
diseases
idiopathic
developmental
disorders
cause
intellectual
disabilities.
EBioMedicine,
Journal Year:
2021,
Volume and Issue:
72, P. 103592 - 103592
Published: Oct. 1, 2021
BackgroundAlterations
in
the
brain
cortical
structures
of
patients
with
chronic
kidney
disease
(CKD)
have
been
reported;
however,
cause
has
not
determined
yet.
Herein,
we
used
Mendelian
randomization
(MR)
to
reveal
causal
effect
damage
on
structure.MethodsGenome-wide
association
studies
summary
data
estimated
glomerular
filtration
rate
(eGFR)
480,698
participants
from
CKDGen
Consortium
were
identify
genetically
predicted
eGFR.
Data
567,460
individuals
assess
CKD;
302,687
UK
Biobank
evaluate
albuminuria.
Further,
51,665
ENIGMA
relationship
between
genetic
predisposition
and
reduced
eGFR,
CKD,
progressive
albuminuria
alterations
thickness
(TH)
or
surficial
area
(SA)
brain.
Magnetic
resonance
imaging
was
measure
SA
TH
globally
34
functional
regions.
Inverse-variance
weighted
as
primary
estimate
whereas
MR
Pleiotropy
RESidual
Sum
Outlier,
MR-Egger
median
detect
heterogeneity
pleiotropy.FindingsAt
global
level,
decreased
(β
=
−0.07
mm,
95%
CI:
−0.12
mm
−0.02
P
0.004);
at
pars
opercularis
gyrus
without
−0.11
−0.16
3.74×10−6).
No
pleiotropy
detected.InterpretationKidney
causally
influences
cortex
structure
which
suggests
existence
a
kidney-brain
axis.FundingThis
study
supported
by
Science
Technology
Planning
Project
Guangdong
Province
(Grant
No.
2020A1515111119
2017B020227007),
National
Key
Research
Development
Program
China
2018YFA0902803),
Natural
Foundation
81825016,
81961128027,
81772719,
81772728),
Areas
2018B010109006),
Special
Support
(2017TX04R246),
Grant
KLB09001
Laboratory
Malignant
Tumor
Gene
Regulation
Target
Therapy
Higher
Education
Institutes,
Grants
Department
(2020B1212060018).
Translational Psychiatry,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: May 29, 2020
Abstract
A
key
objective
in
the
field
of
translational
psychiatry
over
past
few
decades
has
been
to
identify
brain
correlates
major
depressive
disorder
(MDD).
Identifying
measurable
indicators
processes
associated
with
MDD
could
facilitate
detection
individuals
at
risk,
and
development
novel
treatments,
monitoring
treatment
effects,
predicting
who
might
benefit
most
from
treatments
that
target
specific
mechanisms.
However,
despite
intensive
neuroimaging
research
towards
this
effort,
underpowered
studies
a
lack
reproducible
findings
have
hindered
progress.
Here,
we
discuss
work
ENIGMA
Major
Depressive
Disorder
(MDD)
Consortium,
which
was
established
address
issues
poor
replication,
unreliable
results,
overestimation
effect
sizes
previous
studies.
The
Consortium
currently
includes
data
45
study
cohorts
14
countries
across
six
continents.
primary
aim
is
structural
functional
alterations
can
be
reliably
detected
replicated
worldwide.
secondary
goal
investigate
how
demographic,
genetic,
clinical,
psychological,
environmental
factors
affect
these
associations.
In
review,
summarize
disease
working
group
date
future
directions.
We
also
highlight
challenges
benefits
large-scale
sharing
for
mental
health
research.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: July 14, 2020
Abstract
Regional
brain
morphology
has
a
complex
genetic
architecture,
consisting
of
many
common
polymorphisms
with
small
individual
effects.
This
proven
challenging
for
genome-wide
association
studies
(GWAS).
Due
to
the
distributed
nature
signal
across
regions,
multivariate
analysis
regional
measures
may
enhance
discovery
variants.
Current
approaches
GWAS
are
ill-suited
complex,
large-scale
data
this
kind.
Here,
we
introduce
Multivariate
Omnibus
Statistical
Test
(MOSTest),
an
efficient
computational
design
enabling
rapid
and
reliable
inference,
apply
it
171
from
26,502
UK
Biobank
participants.
At
conventional
significance
threshold
α
=
5
×
10
−8
,
MOSTest
identifies
347
genomic
loci
associated
morphology,
more
than
any
previous
study,
improving
upon
established
threefold.
Our
findings
implicate
5%
all
protein-coding
genes
provide
evidence
gene
sets
involved
in
neuron
development
differentiation.