bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 10, 2024
Abstract
The
use
of
machine
learning
techniques
combined
with
advanced
neuroimaging
methods
to
reveal
a
complex
relationship
between
patterns
neuronal
activity
and
behavioral
characteristics
is
an
actively
developing
area
in
modern
neuroscience.
Investigating
brain
data
non-invasively
recorded
resting-state
conditions
has
substantially
enhanced
our
understanding
the
foundations
cognitive
functions.
However,
results
more
recent
studies
using
functional
magnetic
resonance
imaging
suggest
that
task-based
paradigms
may
outperform
resting
state
ones
predicting
outcomes.
To
date,
no
have
tested
this
hypothesis
EEG
data.
aim
study
was
experimentally
compare,
for
first
time,
predictive
power
models
built
on
high-density
acquired
during
rest
auditory
working
memory
task
execution,
while
utilizing
different
processing
pipelines
ensure
robustness
reliability
findings.
In
accordance
previous
studies,
we
found
modeling
performance
slightly
better
compared
recordings,
except
high
load,
where
superior
connectivity
terms
capacity.
general,
derived
from
both
showed
overall
accuracy,
reaching
up
R
2
=
0.31.
Functional
alpha
frequency
band
most
efficient
predictor
scores,
followed
by
theta
beta
bands.
Finally,
demonstrated
choice
parcellation
atlas
method
significantly
impacted
ultimate
results,
which
should
be
taken
into
consideration
when
designing
future
experiments.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(14)
Published: March 27, 2024
Human
working
memory
is
a
key
cognitive
process
that
engages
multiple
functional
anatomical
nodes
across
the
brain.
Despite
plethora
of
correlative
neuroimaging
evidence
regarding
architecture,
our
understanding
critical
hubs
causally
controlling
overall
performance
incomplete.
Causal
interpretation
requires
testing
following
safe,
temporal,
and
controllable
neuromodulation
specific
nodes.
Such
experiments
became
available
in
healthy
humans
with
advance
transcranial
alternating
current
stimulation
(tACS).
Here,
we
synthesize
findings
28
placebo-controlled
studies
(in
total,
1,057
participants)
applied
frequency-specific
noninvasive
neural
oscillations
examined
neurotypical
adults.
We
use
computational
meta-modeling
method
to
simulate
each
intervention
realistic
virtual
brains
test
reported
behavioral
outcomes
against
stimulation-induced
electric
fields
different
brain
Our
results
show
stimulating
anterior
frontal
medial
temporal
theta
occipitoparietal
gamma
rhythms
leads
significant
dose-dependent
improvement
task
performance.
Conversely,
prefrontal
modulation
detrimental
Moreover,
found
distinct
spatial
expression
subbands,
where
changes
followed
orbitofrontal
high-theta
low-theta
modulation.
Finally,
all
these
are
driven
by
accuracy
rather
than
processing
time
measures.
These
provide
fresh
view
mechanisms,
complementary
research,
propose
hypothesis-driven
targets
for
clinical
treatment
deficits.
European Journal of Neuroscience,
Journal Year:
2025,
Volume and Issue:
61(3)
Published: Feb. 1, 2025
ABSTRACT
Working
memory,
which
tends
to
be
the
most
vulnerable
cognitive
domain
aging,
is
thought
depend
on
a
functional
brain
network
for
efficient
communication.
The
dynamic
communication
within
this
represented
by
segregation
and
integration.
This
study
aimed
investigate
healthy
aging
examining
age
effect
outcomes
of
graph
theory
analysis
during
visual
short‐term
memory
binding
(VSTMB)
task.
VSTMB
tasks
rely
integration
features
are
less
sensitive
semantic
verbal
strategies.
Effects
neuropsychological
test
scores,
along
with
EEG
graph‐theoretical
integration,
global
organization
metrics
in
frequencies
from
delta
gamma
band
were
investigated.
Neuropsychological
assessment
showed
low
sensitivity
as
measure
age‐related
changes.
results
indicated
that
architecture
changed
more
effectively
middle
age,
while
effectiveness
appears
vanish
or
show
compensatory
mechanisms
elderly.
These
differences
further
found
related
scores.
first
demonstrate
working
across
broad
range.
Frontiers in Human Neuroscience,
Journal Year:
2025,
Volume and Issue:
19
Published: March 12, 2025
Transcranial
alternating
current
stimulation
(tACS)
is
a
promising
non-invasive
neuromodulation
technique
with
the
potential
for
inducing
neuroplasticity
and
enhancing
cognitive
clinical
outcomes.
A
unique
feature
of
tACS,
compared
to
other
modalities,
that
it
modulates
brain
activity
by
entraining
neural
oscillations
an
externally
applied
current.
While
many
studies
have
focused
on
online
effects
during
stimulation,
growing
evidence
suggests
tACS
can
induce
sustained
after-effects,
which
emphasizes
long-term
neurophysiological
changes,
essential
therapeutic
applications.
In
first
part
this
review,
we
discuss
how
after-effects
could
be
mediated
four
non-mutually
exclusive
mechanisms.
First,
spike-timing-dependent
plasticity
(STDP),
where
timing
pre-
postsynaptic
spikes
strengthens
or
weakens
synaptic
connections.
Second,
spike-phase
coupling
oscillation
phase
as
mediators
plasticity.
Third,
homeostatic
plasticity,
emphasizing
importance
operate
within
dynamic
physiological
ranges.
Fourth,
state-dependent
highlights
state
in
modulatory
tACS.
second
applications
trials
targeting
neurological
psychiatric
disorders,
including
major
depressive
disorder,
schizophrenia,
Parkinson’s
disease,
Alzheimer’s
disease.
Evidence
repeated
sessions,
optimized
individual
oscillatory
frequencies
combined
behavioral
interventions,
may
result
lasting
enhance
However,
critical
challenges
remain,
need
personalized
dosing,
improved
modeling,
systematic
investigation
effects.
conclusion,
review
mechanisms
translational
bridging
basic
neuroscience
research
optimize
its
use
tool.
Scientific Data,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: March 27, 2025
Abstract
Noninvasive
brain
stimulation
(NIBS)
is
pivotal
in
studying
human
brain-behavior
relations
and
treating
disorders.
NIBS
effectiveness
relies
on
informed
targeting
of
specific
regions,
a
challenge
due
to
anatomical
differences
between
humans.
Computational
volumetric
head
modeling
can
capture
individual
effects
enable
comparison
across
population.
However,
most
studies
implementing
use
single-head
model,
ignoring
morphological
variability,
potentially
skewing
interpretation,
realistic
precision.
We
present
comprehensive
dataset
100
models
with
variable
tissue
conductivity
values,
lead-field
matrices,
standard-space
co-registrations,
quality-assured
segmentations
provide
large
sample
healthy
adult
variance.
Leveraging
the
Human
Connectome
Project
s1200
release,
this
powers
population
for
target
optimization,
MEEG
source
simulations,
advanced
meta-analysis
studies.
performed
quality
assessment
each
mesh,
which
included
semi-manual
segmentation
accuracy
correction
finite-element
analysis
measures.
This
will
facilitate
developments
academic
clinical
research.
International Journal of Psychophysiology,
Journal Year:
2025,
Volume and Issue:
212, P. 112579 - 112579
Published: May 1, 2025
Neural
oscillations
play
a
fundamental
role
in
human
cognition
and
behavior.
While
electroencephalography
(EEG)
related
methods
provide
precise
temporal
recordings
of
these
oscillations,
they
are
limited
their
ability
to
generate
causal
conclusions.
Transcranial
alternating
current
stimulation
(tACS)
has
emerged
as
promising
non-invasive
neurostimulation
technique
modulate
neural
which
offers
insights
into
functional
relation
Originally,
tACS
is
applied
between
two
or
more
electrodes
at
given
frequency.
However,
recent
advances
have
aimed
apply
different
waveforms
target
specific
oscillatory
dynamics.
This
systematic
review
evaluates
the
efficacy
non-standard
applications
designed
investigate
patterns
beyond
simple
sinusoidal
stimulation.
We
categorized
approaches
three
key
domains:
(1)
phase
synchronization
techniques,
including
in-phase,
anti-phase,
traveling
wave
stimulation;
(2)
non-sinusoidal
tACS,
applies
alternative
such
composite,
broadband
triangular
oscillations;
(3)
amplitude-modulated
interference
stimulation,
allow
for
concurrent
EEG
deeper
cortical
targeting.
number
studies
evidence
added
value
procedures,
other
show
opposing
null
findings.
Crucially,
most
currently
low,
such,
goal
this
highlight
both
promise
limitations
providing
foundation
future
research
neurostimulation.
Brain Connectivity,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
Background:
The
integration
of
machine
learning
with
advanced
neuroimaging
has
emerged
as
a
powerful
approach
for
uncovering
the
relationship
between
neuronal
activity
patterns
and
behavioral
traits.
While
resting-state
significantly
contributed
to
understanding
neural
basis
cognition,
recent
fMRI
studies
suggest
that
task-based
paradigms
may
offer
superior
predictive
power
cognitive
outcomes.
However,
this
hypothesis
never
been
tested
using
electroencephalography
(EEG)
data.
Methods:
We
conducted
first
experimental
comparison
models
built
on
high-density
EEG
data
recorded
during
both
an
auditory
working
memory
task.
Multiple
processing
pipelines
were
employed
ensure
robustness
reliability.
Model
performance
was
evaluated
by
computing
Pearson
correlation
coefficient
predicted
observed
scores,
supplemented
mean
absolute
error
root
square
metrics
each
model
configuration.
Results:
Consistent
prior
findings,
yielded
slightly
better
modeling
than
Both
conditions
demonstrated
high
accuracy,
peak
correlations
values
reaching
r
=
0.5.
Alpha
beta
band
functional
connectivity
strongest
predictors
performance,
followed
theta
gamma
bands.
Additionally,
choice
parcellation
atlas
method
influenced
results,
highlighting
importance
methodological
considerations.
Conclusion:
Our
findings
support
advantage
over
in
predicting
aligning
with.
study
underscores
critical
role
frequency-specific
choices
performance.
These
insights
should
guide
future
designs
neuroscience.
Acta Neuropsychiatrica,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 5
Published: Oct. 2, 2024
Abstract
Applying
transcranial
alternating
current
stimulation
(tACS)
at
40
Hz
to
the
frontal
and
parietal
regions,
either
unilaterally
(left
or
right)
bilaterally,
can
improve
cognitive
dysfunctions.
This
study
aimed
explore
influence
of
tACS
gamma
frequency
over
right
fronto-parietal
(FP)
region
on
attention.
The
analysis
is
based
retrospective
data
from
a
clinical
intervention.
We
administered
test
variables
attention
(TOVA;
visual
mode)
44
participants
with
various
neuropsychiatric
diagnoses
before
after
12
sessions
treatment.
Alternating
currents
2.0
mA
were
delivered
electrode
positions
F4
P4,
following
10–20
EEG
convention,
for
20
mins
in
each
session.
observed
significant
improvement
across
3
indices
TOVA,
including
reduction
variability
reaction
time
(
p
=
0.0002),
increase
d-Prime
(separability
targets
non-targets;
0.0157),
decrease
commission
error
rate
0.0116).
mean
RT
omission
largely
remained
unchanged.
Artificial
injection
FP
network
may
function,
especially
domains
consistency
performance,
target/non-target
discrimination,
inhibitory
control.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 11, 2024
Abstract
Objective
Applying
transcranial
alternating
current
stimulation
(tACS)
at
40
Hz
to
the
frontal
and
parietal
regions
can
improve
cognitive
dysfunctions.
This
study
aimed
explore
influence
of
tACS
gamma
frequency
over
right
fronto-parietal
(FP)
region
on
attention.
Methods
We
administered
Test
Variables
Attention
(TOVA;
visual
mode)
44
participants
with
various
neuropsychiatric
diagnoses
before
after
12
sessions
treatment.
Alternating
currents
2.0
mA
were
delivered
electrode
positions
F4
P4,
following
10-20
EEG
convention,
for
20
minutes
in
each
session.
Results
observed
significant
improvement
across
3
indices
TOVA,
including
reduction
variability
reaction
time
(RT;
P
=0.0002),
increase
d-Prime
(separability
targets
non-targets;
=0.0157),
decrease
commission
error
rate
(
=0.0116).
The
mean
RT
omission
largely
remained
unchanged.
Conclusion
Artificial
injection
FP
network
may
attention
function,
especially
domains
consistency
performance,
target/non-target
discrimination,
inhibitory
control.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 18, 2024
Abstract
Accurate
visual
working
memory
(VWM)
requires
precise
content-context
binding.
Previous
studies
have
revealed
a
close
relationship
between
the
posterior
parietal
cortex
(PPC)
and
feature
binding
during
VWM,
this
study
further
examined
their
causal
through
three
transcranial
direct
current
stimulation
(tDCS)
experiments.
In
Experiment
1
(
N
=
57),
participants
underwent
sessions
of
tDCS
separately,
including
PPC
stimulation,
occipital
sham
completed
series
delayed
estimation
tasks
for
orientations
before
after
stimulation.
Results
showed
that
over
selectively
prolonged
recall
response
time
(RT)
increased
probability
non-target
responses
(a.k.a.
failure
binding).
2
29),
combining
metacognition
task,
we
investigated
whether
effects
on
RT
were
attributed
to
more
mis-binding
(i.e.,
self-reported
"remembered"
in
responses)
or
informed
guessing
(participants
"forgotten"
responses).
We
replicated
main
findings
1,
also
observed
greater
trials
than
while
comparable
rates
these
two
types
trials.
3
28),
then
specifically
influenced
retrieval
process
by
using
change
detection
task.
found
did
not
influence
recognition
accuracy.
Together,
provides
evidence
supporting
involvement
VWM
retrieval.
Significance
Statement
Visual
enables
humans
temporarily
store
information,
which
accurate
items
unique
context.
Accumulating
posited
is
closely
related
process,
relationship.
Through
strictly
within-subject
well-designed
non-invasive
neural
experiments,
error
VWM.
Moreover,
changes
modulated
individual
only
occurred
instead
recognition.
our
results
provided
strong
causally
involved