2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
Journal Year:
2023,
Volume and Issue:
40, P. 2527 - 2527
Published: Dec. 5, 2023
Major
depressive
disorder
(MDD)
which
is
a
widespread
worldwide
cause
disruption
in
some
brain
functions
and
thus
leads
to
network
changes.
An
increasing
number
of
clinical
cognitive
neuroscience
studies
have
used
broadband
EEG
microstate
method
assess
the
electrical
activity
large-scale
cortical
networks;
however,
topographic
frequency
patterns
different
categories
MDD
patients
are
not
clear.
In
this
study,
spectra
were
analyzed
using
5-min
resting-state
electroencephalography
(EEG)
data
from
55
subjects
(including
27
28
healthy
controls)
with
variational
empirical
mode
decomposition
Hilbert-Huang
transform.
The
results
showed
that
D
other
microstates
(A,
C,
E)
display
opposite
patterns.
Most
specifically,
beta
band,
marginal
spectral
energies
A,
E
increased
compared
HCs,
while
energy
was
decreased.
Meanwhile,
we
observed
A
C
band
positively
correlated
severity
symptoms,
suggesting
alterations
can
serve
as
an
important
reference
for
disease
progression.
These
confirm
abnormalities
beta-band
patient
provide
new
perspective
exploring
psychomotor
function
MDD.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 23, 2023
Abstract
We
spend
a
significant
part
of
our
lives
navigating
emotionally
charged
mind-wandering
states
by
spontaneously
imagining
the
past
or
future,
which
predicts
general
well-being.
investigated
brain
self-generated
affective
using
EEG
microstate
analysis
to
identify
temporal
dynamics
underlying
networks
that
sustain
endogenous
state
activity.
With
this
aim,
we
compared
five
distinct
microstates
between
baseline
resting-state,
positive
(e.g.,
awe,
contentment),
and
negative
anger,
fear)
states.
found
affect-related
modulations
B,
C,
D
dynamics.
Microstates
B
were
increased,
while
C
was
decreased
during
valence
In
addition,
valence-specific
mechanisms
spontaneous
regulation.
Negative
specifically
modulate
increased
presence
occurrence
E
The
are
characterized
more
prevalent
les
present
A
both
These
findings
provide
valuable
insights
into
neurodynamic
patterns
regulation
implications
for
developing
biomarkers
therapeutic
interventions
in
mood
anxiety
disorders.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
Journal Year:
2023,
Volume and Issue:
40, P. 2527 - 2527
Published: Dec. 5, 2023
Major
depressive
disorder
(MDD)
which
is
a
widespread
worldwide
cause
disruption
in
some
brain
functions
and
thus
leads
to
network
changes.
An
increasing
number
of
clinical
cognitive
neuroscience
studies
have
used
broadband
EEG
microstate
method
assess
the
electrical
activity
large-scale
cortical
networks;
however,
topographic
frequency
patterns
different
categories
MDD
patients
are
not
clear.
In
this
study,
spectra
were
analyzed
using
5-min
resting-state
electroencephalography
(EEG)
data
from
55
subjects
(including
27
28
healthy
controls)
with
variational
empirical
mode
decomposition
Hilbert-Huang
transform.
The
results
showed
that
D
other
microstates
(A,
C,
E)
display
opposite
patterns.
Most
specifically,
beta
band,
marginal
spectral
energies
A,
E
increased
compared
HCs,
while
energy
was
decreased.
Meanwhile,
we
observed
A
C
band
positively
correlated
severity
symptoms,
suggesting
alterations
can
serve
as
an
important
reference
for
disease
progression.
These
confirm
abnormalities
beta-band
patient
provide
new
perspective
exploring
psychomotor
function
MDD.
