FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks
Biomedical Signal Processing and Control,
Journal Year:
2025,
Volume and Issue:
104, P. 107528 - 107528
Published: Jan. 27, 2025
Language: Английский
Resting-State Brain Network Characteristics Related to Mild Cognitive Impairment: A Preliminary fNIRS Proof-of-Concept Study
Journal of Integrative Neuroscience,
Journal Year:
2025,
Volume and Issue:
24(2)
Published: Jan. 25, 2025
Background:
This
study
investigates
the
reliability
of
functional
near-infrared
spectroscopy
(fNIRS)
in
detecting
resting-state
brain
network
characteristics
patients
with
mild
cognitive
impairment
(MCI),
focusing
on
static
connectivity
(sRSFC)
and
dynamic
(dRSFC)
patterns
MCI
healthy
controls
(HCs)
without
impairment.
Methods:
A
total
89
83
HCs
were
characterized
using
neuropsychological
scales.
Subject
sRSFC
strength
dRSFC
variability
coefficients
evaluated
via
fNIRS.
The
feasibility
fNIRS
to
measure
these
metrics
compared
between
two
groups.
Correlations
Montreal
Cognitive
Assessment
(MoCA)
scores
also
explored.
Results:
homologous
networks
was
significantly
lower
than
heterologous
(p
<
0.05).
significant
negative
correlation
observed
at
both
group
individual
levels
0.001).
While
did
not
differentiate
HCs,
dorsal
attention
(DAN)
default
mode
(DMN),
ventral
(VAN)
visual
(VIS),
emerged
as
sensitive
biomarkers
after
false
discovery
rate
correction
No
found
MoCA
measures.
Conclusions:
can
be
used
networks,
being
more
for
discriminating
HCs.
DAN-DMN
VAN-VIS
regions
particularly
useful
identification
differences
Clinical
Trial
Registration:
ChiCTR2200057281,
registered
6
March,
2022;
https://www.chictr.org.cn/showproj.html?proj=133808.
Language: Английский
Effect of Brain Computer Interface Training on Frontoparietal Network Function for Young People: A Functional Near‐Infrared Spectroscopy Study
Yulan Xu,
No information about this author
Yuxin Li,
No information about this author
Gongqi Yu
No information about this author
et al.
CNS Neuroscience & Therapeutics,
Journal Year:
2025,
Volume and Issue:
31(4)
Published: April 1, 2025
ABSTRACT
Aims
Inattention
in
young
people
is
one
of
the
main
reasons
for
their
declining
learning
ability.
Frontoparietal
networks
(FPNs)
are
associated
with
attention
and
executive
function.
Brain
computer
interface
(BCI)
training
has
been
applied
neurorehabilitation,
but
there
a
lack
research
on
its
application
to
cognition.
This
study
aimed
investigate
effect
BCI
network
healthy
adults.
Methods
Twenty‐seven
performed
5
consecutive
days.
An
test
(ANT)
was
at
baseline
immediately
after
fifth
day
included
simultaneous
functional
near‐infrared
spectroscopy
recording.
Results
performance
improved
significantly
(
p
=
0.005).
The
efficiencies
alerting
control
were
enhanced
0.032
0.003,
respectively).
connectivity
bilateral
prefrontal
cortices
right
posterior
parietal
cortex
increased
<
0.05).
Conclusion
Our
findings
suggested
that
repetitive
could
improve
induce
lasting
neuroplastic
changes
FPNs.
It
might
be
promising
rehabilitative
strategy
clinical
populations
deficits.
PPC
may
also
an
effective
target
neuromodulation
diseases
Language: Английский