Research hotspots and trends in the application of electroencephalography for assessment of disorders of consciousness: a bibliometric analysis
Frontiers in Neurology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 27, 2025
Objective
Disorders
of
consciousness
(DoC)
result
from
severe
traumatic
brain
injury
and
hypoxia
or
ischemia
tissues,
leading
to
impaired
perceptual
abilities.
Electroencephalography
(EEG)
is
a
non-invasive
widely
applicable
technology
used
for
assessing
DoC.
We
aimed
identify
the
research
hotspots
in
this
field
through
systematic
analysis.
Methods
Relevant
studies
published
January
1,
2004
December
31,
2023
were
retrieved
Web
Science
Core
Collection
database.
The
data
analyzed
visualized
using
CiteSpace,
VOSviewer,
SCImago
Graphica.
Results
In
total,
1,639
relevant
publications
retrieved.
country
with
highest
number
was
United
States,
most
productive
institution
Harvard
University,
journal
output
Clinical
Neurophysiology
,
total
citations
Neurology
.
author
Steven
Laureys
common
keyword
“vegetative
state.”
Conclusion
undergoing
rapid
development,
characterized
by
proliferation
advanced
technologies
an
increased
emphasis
on
international
collaboration.
document
offers
impartial
perspective
advancements
study
benefit
researchers.
Language: Английский
Case Report: Peripheral combined central dual-target magnetic stimulation for non- motor symptoms of Parkinson’s disease
Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
16
Published: April 25, 2025
This
case
report
describes
an
innovative
study
using
central
combined
vagus
dual-target
magnetic
stimulation
for
treating
non-motor
symptoms
of
Parkinson’s
disease
(PD).
PD
is
a
common
neurodegenerative
disease,
and
almost
all
patients
experience
varying
degrees
symptoms.
However,
there
aren’t
many
targeted
drugs
Based
on
this
clinical,
we
used
left
dorsolateral
prefrontal
cortex
(DLPFC)
nerve
to
treat
The
choice
method
based
the
closed-loop
rehabilitation
theory
central-peripheral-central.
Stimulation
DLPFC
promoted
activation
brain
functional
areas
improved
neuroplasticity,
while
further
enhanced
positive
feedback
input
nervous
system,
forming
information
feedback,
synergically
recovery
patient
in
paper
had
such
as
constipation,
short-term
memory
impairment,
insomnia,
depression,
hallucinations.
We
10
sessions
total.
was
performed
at
10Hz,
120%
resting
motor
threshold
(RMT)
intensity,
1000
pulses
per
sequence
minutes.
100%RMT,
with
total
2000
duration
14
Assessment
before
treatment,
after
one
month
follow-up
showed
improvements
cognitive
function,
mood,
constipation
Therefore,
believe
treatment
approach
may
represent
promising
new
option
PD.
Language: Английский
A bibliometric analysis of electroencephalogram research in stroke: current trends and future directions
Xiaoyu Liao,
No information about this author
Yu‐Er Jiang,
No information about this author
Renjie Xu
No information about this author
et al.
Frontiers in Neurology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 28, 2025
Background
Electroencephalography
(EEG)
has
become
an
indispensable
tool
in
stroke
research
for
real-time
monitoring
of
neural
activity,
prognosis
prediction,
and
rehabilitation
support.
In
recent
decades,
EEG
applications
have
expanded,
particularly
areas
like
brain-computer
interfaces
(BCI)
neurofeedback
motor
recovery.
However,
a
comprehensive
analysis
trends
this
domain
is
currently
unavailable.
Methods
The
study
collected
data
from
the
Web
Science
Core
Collection
database,
selecting
publications
related
to
2005
2024.
Visual
tools
such
as
VOSviewer
CiteSpace
were
utilized
build
knowledge
maps
field,
analyzing
distribution
publications,
authors,
institutions,
journals,
collaboration
networks.
Additionally,
co-occurrence,
clustering,
burst
detection
keywords
analyzed
detail.
Results
A
total
2,931
identified,
indicating
consistent
increase
stroke,
with
significant
growth
post-2017.
United
States,
China,
Germany
emerged
leading
contributors,
high
networks
among
Western
institutions.
Key
included
signal
processing
advancements,
seizure
risk
consciousness
disorder
assessment,
EEG-driven
techniques.
Notably,
studies
focused
on
integrating
machine
learning
multimodal
more
precise
functional
evaluations.
Conclusion
findings
reveal
that
evolved
diagnostic
therapeutic
support
platform
context
care.
advent
deep
integration
positioned
expanded
personalized
rehabilitation.
It
recommended
future
prioritize
interdisciplinary
standardized
methodologies
order
facilitate
clinical
adoption
enhance
translational
potential
management.
Language: Английский