Distinguishing major depressive disorder from bipolar disorder using alpha-band activity in resting-state electroencephalogram
Xixi Zhao,
No information about this author
Bin Wang,
No information about this author
Jun Liu
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et al.
Journal of Affective Disorders,
Journal Year:
2025,
Volume and Issue:
376, P. 333 - 340
Published: Feb. 15, 2025
Language: Английский
Aging amplifies sex differences in low alpha and low beta EEG oscillations
NeuroImage,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121231 - 121231
Published: April 1, 2025
Biological
sex
profoundly
shapes
brain
function,
yet
its
precise
influence
on
neural
oscillations
was
poorly
understood.
Despite
decades
of
research,
studies
investigating
sex-based
variations
in
electroencephalographic
(EEG)
signals
have
yielded
inconsistent
findings
that
obstructs
what
may
be
a
potentially
crucial
source
inter-individual
variability
function.
To
address
this,
we
analyzed
five
publicly
available
resting-state
datasets,
comprising
EEG
data
(n=445)
and
iEEG
(n=103).
Three
age
ranges
were
defined,
young
adult
(YA,
18-30
years),
middle-aged
(MA,
30-55
years)
older
(OA,
55-75
years).
Our
results
revealed
striking
age-dependent
differences:
OA
group
exhibited
robust
differences,
with
males
showing
heightened
low
alpha
(8-9
Hz)
activity
temporal
regions
attenuated
beta
(16-20
parietal-occipital
areas
compared
to
females.
Intriguingly,
these
sex-specific
patterns
absent
YA
group,
suggesting
complex
interplay
between
aging
shaping
dynamics.
The
MA
groups
fall
group.
increase
band
female
adults
is
strongly
associated
hip
size
BMI.
Furthermore,
identified
consistent
sex-related
the
precentral
gyrus
scalp
EEG,
driving
observed
differences.
This
multi-level
analysis
allowed
us
bridge
gap
cortical
scalp-level
observations,
providing
more
comprehensive
picture
distinct
associations
oscillatory
several
lifestyle
factors
demonstrates
sex,
age,
oscillations,
revealing
highlight
importance
careful
demographic
consideration
research
design
ensure
fairness
capturing
full
spectrum
neurophysiological
diversity.
Language: Английский
Distinct Mechanisms of Multiple Alpha‐Band Activities in Frontal Regions Following an 8‐Week Medium‐ (Yoga) and High‐Intensity (Pamela) Exercise Intervention
Kaixuan Shi,
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Huipeng Lei,
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Lulu Chen
No information about this author
et al.
CNS Neuroscience & Therapeutics,
Journal Year:
2025,
Volume and Issue:
31(5)
Published: May 1, 2025
ABSTRACT
Aim
Long‐term
moderate‐
to
high‐intensity
exercise
has
been
shown
significantly
enhance
overall
health
such
as
the
improvement
of
physiological
indicators
and
brain
functions.
One
key
aspect
activity
is
alpha‐band
activity,
which
encompasses
various
sub‐oscillations
within
alpha
frequency
band.
However,
precise
functions
these
following
different
regimens
remain
unclear.
Methods
We
recruited
58
healthy
college
students
divided
them
into
four
groups:
Pamela
(high‐intensity
interval
training,
HIIT),
yoga
(moderate‐intensity
continuous
MICT),
their
corresponding
matched
control
group
(no
exercise)
for
each
intervention
group.
Participants
in
groups
underwent
training
up
8
weeks
(HIIT
or
MICT).
Resting‐state
EEG
data
were
collected
before
after
both
with
eyes
open
closed.
Results
Following
HIIT,
experienced
a
significant
reduction
body
fat
percentage
notable
increase
skeletal
muscle
mass.
In
terms
neural
main
difference
was
observed
mid‐frequency
range
frontoparietal
region
during
eyes‐open
resting
state.
Conversely,
8‐week
participants
demonstrated
duration
maintaining
balance
sleep
quality,
reflected
low‐
high‐frequency
band
activities
bilateral
frontotemporal
regions
eyes‐closed
Conclusion
This
study,
first
time,
differentiates
effects
long‐term
on
oscillation
states,
highlights
that
sub‐frequency
bands
would
represent
exercise‐related
Language: Английский