Journal of Psychiatry and Brain Science,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Jan. 6, 2024
Childhood
attention-deficit/hyperactivity
disorder
(ADHD)
symptoms
prospectively
predict
the
development
of
borderline
personality
(BPD)
in
adolescence
and
adulthood;
adult
women
with
BPD,
particular,
often
retrospectively
report
childhood
ADHD
symptoms.
However,
little
is
known
about
specific
developmental
pathways
mechanisms
that
contribute
to
this
sequential
comorbidity.
Herein
we
outline
a
call
for
multi-method
research
examining
altered
social
processing
as
potential
mechanism
underlying
risk
BPD
girls
ADHD.
We
review
relevant
psychopathology
theory,
describe
recent
empirical
work,
steps
future
work
goal
promoting
continued
focused
on
reducing
personal
societal
burden
associated
BPD.
Developmental Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
67, P. 101404 - 101404
Published: June 1, 2024
The
theta
band
is
one
of
the
most
prominent
frequency
bands
in
electroencephalography
(EEG)
power
spectrum
and
presents
an
interesting
paradox:
while
elevated
during
resting
state
linked
to
lower
cognitive
abilities
children
adolescents,
increased
tasks
associated
with
higher
performance.
Why
does
power,
measured
versus
tasks,
show
differential
correlations
functioning?
This
review
provides
integrated
account
functional
correlates
across
different
contexts.
We
first
present
evidence
that
correlated
executive
functioning,
attentional
abilities,
language
skills,
IQ.
Next,
we
research
showing
increases
memory,
attention,
control,
these
processes
better
Finally,
discuss
potential
explanations
for
between
resting/task-related
offer
suggestions
future
this
area.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
275, P. 120116 - 120116
Published: May 9, 2023
Electroencephalographic
(EEG)
methods
have
great
potential
to
serve
both
basic
and
clinical
science
approaches
understand
individual
differences
in
human
neural
function.
Importantly,
the
psychometric
properties
of
EEG
data,
such
as
internal
consistency
test-retest
reliability,
constrain
their
ability
differentiate
individuals
successfully.
Rapid
recent
technological
computational
advancements
research
make
it
timely
revisit
topic
reliability
context
difference
analyses.
Moreover,
pediatric
samples
provide
some
most
salient
urgent
opportunities
apply
approaches,
but
changes
these
populations
experience
over
time
also
unique
challenges
from
a
perspective.
Here
we
take
developmental
neuroscience
perspective
consider
progress
new
for
parsing
stability
measurements
across
lifespan.
We
first
conceptually
map
different
profiles
measurement
expected
types
analyses
Next,
summarize
evaluate
state
field's
empirical
knowledge
need
testing
measures
power,
event-related
potentials,
nonlinearity,
functional
connectivity
ages.
Finally,
highlight
how
standardized
pre-processing
software
denoising
metrics
data
quality
may
be
used
further
improve
EEG-based
moving
forward.
include
recommendations
resources
throughout
that
researchers
can
implement
utility
reproducibility
with
Brain Topography,
Journal Year:
2024,
Volume and Issue:
37(4), P. 496 - 513
Published: March 2, 2024
Abstract
Microstate
analysis
of
resting-state
EEG
is
a
unique
data-driven
method
for
identifying
patterns
scalp
potential
topographies,
or
microstates,
that
reflect
stable
but
transient
periods
synchronized
neural
activity
evolving
dynamically
over
time.
During
infancy
–
critical
period
rapid
brain
development
and
plasticity
microstate
offers
opportunity
characterizing
the
spatial
temporal
dynamics
activity.
However,
whether
measurements
derived
from
this
approach
(e.g.,
properties,
transition
probabilities,
sources)
show
strong
psychometric
properties
(i.e.,
reliability)
during
unknown
key
information
advancing
our
understanding
how
microstates
are
shaped
by
early
life
experiences
they
relate
to
individual
differences
in
infant
abilities.
A
lack
methodological
resources
performing
has
further
hindered
adoption
cutting-edge
researchers.
As
result,
current
study,
we
systematically
addressed
these
knowledge
gaps
report
most
microstate-based
organization
functioning
except
probabilities
were
with
four
minutes
video-watching
data
highly
internally
consistent
just
one
minute.
In
addition
results,
provide
step-by-step
tutorial,
accompanying
website,
open-access
using
free,
user-friendly
software
called
Cartool.
Taken
together,
study
supports
reliability
feasibility
increases
accessibility
field
developmental
neuroscience.
Electroencephalography
(EEG)
is
one
of
the
main
neuroscientific
measures
used
with
infants
and
children
to
identify
potential
biomarkers
cognitive
social
developmental
processes.
Given
implications
EEG
research
within
policy,
clinical,
educational
domains,
it
important
ensure
that
reported
results
are
generalizable
reproducible.
In
this
review,
provide
an
initial
assessment
previous
current
practices
regarding
participant
recruitment
demographic
reporting,
we
carried
out
a
systematic
review
six
journals
publishing
most
pediatric
studies
between
2011-2023.
We
identified
700
articles
reporting
on
(N
>
80,000).
find
did
not
complete
basic
information
(e.g.,
race,
ethnicity,
socioeconomic
status,
geographical
location).
This
trend
persisted
across
years
publication,
suggesting
continued
underreporting.
However,
demographics
differed
journals,
solutions
for
improving
practices.
Our
also
indicated
samples
consisted
mostly
White
participants
(78%)
from
North
America
Western
Europe
(85%).
Moreover,
median
total
sample
size
was
51
participants.
discussion
emphasizes
need
larger,
more
diverse
greater
transparency
in
studies,
while
providing
recommendations
address
barriers
representation.
Developmental Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
67, P. 101391 - 101391
Published: May 14, 2024
The
field
of
developmental
cognitive
neuroscience
is
advancing
rapidly,
with
large-scale,
population-wide,
longitudinal
studies
emerging
as
a
key
means
unraveling
the
complexity
developing
brain
and
processes
in
children.
While
numerous
neuroscientific
techniques
like
functional
magnetic
resonance
imaging
(fMRI),
near-infrared
spectroscopy
(fNIRS),
magnetoencephalography
(MEG),
transcranial
stimulation
(TMS)
have
proved
advantageous
such
investigations,
this
perspective
proposes
renewed
focus
on
electroencephalography
(EEG),
leveraging
underexplored
possibilities
EEG.
In
addition
to
its
temporal
precision,
low
costs,
ease
application,
EEG
distinguishes
itself
ability
capture
neural
activity
linked
social
interactions
increasingly
ecologically
valid
settings.
Specifically,
can
be
measured
during
lab,
hyperscanning
used
study
two
(or
more)
people
simultaneously,
mobile
measure
real-life
This
paper
summarizes
research
these
three
areas,
making
persuasive
argument
for
inclusion
into
toolkit
neuroscientists.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(5), P. 1605 - 1605
Published: Feb. 29, 2024
It
is
of
great
interest
to
develop
advanced
sensory
technologies
allowing
non-invasive
monitoring
neural
correlates
cognitive
processing
in
people
performing
everyday
tasks.
A
lot
progress
has
been
reported
recent
years
this
research
area
using
scalp
EEG
arrays,
but
the
high
level
noise
electrode
signals
poses
a
challenges.
This
study
presents
results
detailed
statistical
analysis
experimental
data
on
cycle
creation
knowledge
and
meaning
human
brains
under
multiple
modalities.
We
measure
brain
dynamics
HydroCel
Geodesic
Sensor
Net,
128-electrode
dense-array
electroencephalography
(EEG).
compute
pragmatic
information
(PI)
index
derived
from
analytic
amplitude
phase,
by
Hilbert
transforming
20
participants
six
modalities,
which
combine
various
audiovisual
stimuli,
leading
different
mental
states,
including
relaxed
cognitively
engaged
conditions.
derive
several
relevant
measures
classify
states
based
PI
indices.
demonstrate
significant
differences
between
that
require
create
for
intentional
action,
relaxed-meditative
with
less
demand
psychophysiological
resources.
also
point
out
kinds
meanings
may
lead
behavioral
responses.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 3, 2024
Abstract
Automated
EEG
pre-processing
pipelines
provide
several
key
advantages
over
traditional
manual
data
cleaning
approaches;
primarily,
they
are
less
time-intensive
and
remove
potential
experimenter
error/bias.
also
require
fewer
technical
expertise
as
the
need
for
artifact
identification.
We
recently
developed
fully
automated
Reduction
of
Electroencephalographic
Artifacts
(RELAX)
pipeline
demonstrated
its
performance
in
recorded
from
adult
populations.
Here,
we
introduce
RELAX-Jr
pipeline,
which
was
adapted
RELAX
to
be
designed
specifically
pre-
processing
collected
children.
implements
multi-channel
Wiener
filtering
(MWF)
and/or
wavelet-enhanced
independent
component
analysis
(wICA)
combined
with
adjusted-ADJUST
classification
algorithm
identify
reduce
all
artifacts
using
algorithms
optimally
recordings
taken
Using
a
dataset
resting-state
(N
=
136)
children
spanning
early-to-middle
childhood
(4-12
years),
assessed
range
metrics
including
signal-to-error
ratio,
artifact-to-residue
ability
blink
muscle
contamination,
differences
estimates
alpha
power
between
eyes-open
eyes-closed
recordings.
compared
RELAX-
Jr
against
four
publicly
available
pipelines.
demonstrate
that
provides
strong
across
metrics,
supporting
use
an
effective
neurodevelopmental
data.
Developmental Cognitive Neuroscience,
Journal Year:
2023,
Volume and Issue:
64, P. 101312 - 101312
Published: Oct. 10, 2023
The
quest
to
understand
how
the
development
of
brain
supports
complex
cognitive
functions
is
fueled
by
advances
in
neuroscience
methods.
Intracranial
EEG
(iEEG)
recorded
directly
from
developing
human
provides
unprecedented
spatial
and
temporal
resolution
for
mapping
neurophysiological
mechanisms
supporting
development.
In
this
paper,
we
focus
on
episodic
memory,
ability
remember
detailed
information
about
past
experiences,
which
improves
childhood
into
adulthood.
We
review
memory
effects
based
broadband
spectral
power
emphasize
importance
isolating
narrowband
oscillations
activity
determine
neural
coordination
within
between
regions.
then
evidence
developmental
variability
present
emerging
linking
memory.
conclude
proposing
that
increases
precision
may
be
an
essential
factor
underlying
More
broadly,
demonstrate
recording
holds
immense
potential
advance
our
understanding
